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Vatsyayan A, Mathur P, Bhoyar RC, Imran M, Senthivel V, Divakar MK, Mishra A, Jolly B, Sivasubbu S, Scaria V. Understanding the genetic epidemiology of hereditary breast cancer in India using whole genome data from 1029 healthy individuals. Cancer Causes Control 2025; 36:673-682. [PMID: 40024972 DOI: 10.1007/s10552-025-01974-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Accepted: 02/11/2025] [Indexed: 03/04/2025]
Abstract
Breast cancer is the most highly reported cancer in India. Genetic testing could help tackle the increasing cancer burden by enabling carriers obtain early diagnosis through increased surveillance, and help guide treatment. However, accurate interpretation of variant pathogenicity must be established in a population-specific manner to ensure effective use of genetic testing. Here we query IndiGen data obtained from sequencing 1029 Indian individuals, and perform variant classification of all reported BRCA variants using gold-standard ACMG & AMP guidelines to establish disease epidemiology. To address the high number of VUS variants thus obtained, we further utilize the brca-NOVUS ML tool to obtain pathogenicity predictions in a manner close to ACMG guidelines at scale. Through the manual application of ACMG & AMP guidelines, we determined the genetic prevalence to be the following: 1 in 342 carriers of BRCA1, and 1 in 256 carriers of BRCA2 pathogenic/likely pathogenic variants bear a significant lifetime risk of developing breast / ovarian cancer in India. The high population prevalence and unique variant landscape emphasizes a need for population-scale studies of causative variants to enable effective screening. We advise cautious clinical interpretation, given incomplete penetrance and other complex factors that result in cancer disease. To the best of our knowledge, this is the first and most comprehensive population-scale genetic epidemiological study of BRCA-linked breast cancer variants reported from India.
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Affiliation(s)
- Aastha Vatsyayan
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Prerika Mathur
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani Campus, Pilani, Rajasthan, India
| | - Rahul C Bhoyar
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
| | - Mohamed Imran
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Vigneshwar Senthivel
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Mohit Kumar Divakar
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Anushree Mishra
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
| | - Bani Jolly
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Karkinos Healthcare Private Limited, B 702, Neelkanth Business Park Kirol Village, Mumbai, 400086, India
| | - Sridhar Sivasubbu
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Karkinos Healthcare Private Limited, B 702, Neelkanth Business Park Kirol Village, Mumbai, 400086, India
| | - Vinod Scaria
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
- Karkinos Healthcare Private Limited, B 702, Neelkanth Business Park Kirol Village, Mumbai, 400086, India.
- Gangwal School of Medical Science and Technology, IIT Kanpur, Kanpur, India.
- Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, India.
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Ding C, Ruan J, Huang J, Liu L, Li Y, Du Y, Zhao Y. Nuciferine activates intestinal TAS2R46 to attenuate metabolic disorders and hyperlipidemia via hepatic VLDL regulation. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2025; 142:156800. [PMID: 40311594 DOI: 10.1016/j.phymed.2025.156800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2025] [Revised: 04/10/2025] [Accepted: 04/21/2025] [Indexed: 05/03/2025]
Abstract
BACKGROUND Dysregulated blood lipid metabolism, a primary driver of hyperlipidemia, is closely associated with excessive very low-density lipoprotein (VLDL) synthesis and secretion. Nuciferine, a bioactive compound isolated from lotus leaves, demonstrates remarkable hypolipidemic efficacy; however, its limited bioavailability challenges existing mechanistic explanations for this pronounced therapeutic effect. PURPOSE This research aims to investigate the disease-modifying effect and underlying mechanism of nuciferine against hyperlipidemia from a novel perspective by modulating the synthesis and secretion of VLDL. METHODS High-fat diet-induced hyperlipidemic rats were assessed by biochemical assays and histopathological examinations to assess the therapeutic effect of nuciferine. Untargeted metabo-lipidomics were launched to obtain the metabolic and lipid profiles, and explainable machine learning algorithms were innovatively utilized in screening differentially expressed metabolites for pathway analysis. A hyperlipidemic two-layer cell co-culture model was analyzed using quantitative polymerase chain reaction, molecular docking, immunofluorescence, cellular thermal shift assay, western blotting, and flow cytometry to delineate VLDL regulatory mechanisms. RESULTS Nuciferine significantly attenuated lipid accumulation and metabolic dysfunction in a hyperlipidemic rat model, with the biosynthesis and metabolism of phenylalanine, tyrosine, and tryptophan as pivotal metabolic pathways. Mechanistically, nuciferine activated intestinal type 2 taste receptor 46 (TAS2R46), promoting Ca²⁺-dependent secretion of glucagon-like peptide-1 (GLP-1). Subsequently, the hepatic GLP-1 receptor was cascaded to upregulate expression of liver X receptor alpha and ATP-binding cassette transporter A1, thereby reducing pathological VLDL overproduction. CONCLUSION This investigation establishes nuciferine's therapeutic potential in metabolic disorders and hyperlipidemia by activating intestinal TAS2R46 to regulate hepatic VLDL synthesis and secretion.
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Affiliation(s)
- Chen Ding
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Ministry of Education, Yantai University, Yantai 264005, PR China
| | - Jian Ruan
- Yantai Center for Food and Drug Control, Yantai 264000, PR China
| | - Jingxian Huang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Ministry of Education, Yantai University, Yantai 264005, PR China
| | - Limin Liu
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Ministry of Education, Yantai University, Yantai 264005, PR China
| | - Yu Li
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Ministry of Education, Yantai University, Yantai 264005, PR China
| | - Yuan Du
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Ministry of Education, Yantai University, Yantai 264005, PR China.
| | - Yan Zhao
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Ministry of Education, Yantai University, Yantai 264005, PR China.
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Li M, Gao X, Lin X, Zhang Y, Peng W, Sun T, Shu W, Shi Y, Guan Y, Xia X, Yi X, Li Y, Jia J. Analysis of germline-somatic mutational connections in colorectal cancer reveals differential tumorigenic patterns and a novel predictive marker for germline mutation carriers. Cancer Lett 2025; 620:217637. [PMID: 40118241 DOI: 10.1016/j.canlet.2025.217637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2024] [Revised: 02/27/2025] [Accepted: 03/11/2025] [Indexed: 03/23/2025]
Abstract
Colorectal cancer (CRC) genetic testing of regions beyond clinical guidelines has revealed a substantial number of likely pathogenic germline mutations (GMs). It remains largely undetermined whether and how these GMs, typically located in non-mismatch repair (non-MMR) genes, are associated with the tumorigenesis of CRC. This study aimed to identify CRC-predisposing GMs among 93 cancer susceptibility genes and investigate their potential influences on CRC somatic mutational features. We secondarily aimed to investigate whether somatic ERBB2 amplification contributes to identifying GM carriers. This study incorporated a total of 3,240 Chinese CRC patients and 10,588 control individuals. CRC patients were subjected to paired tumor-normal sequencing with a 1,021-gene panel. A case-control analysis was conducted to profile the GM-associated CRC risk. A comprehensive germline-somatic association analysis was performed among 2,405 patients, with key findings subsequently validated in an independent 835-patient cohort and the TCGA CRC cohort. The case-control results supported CRC-predisposing effects of GMs in certain homologous recombination repair (HRR) and DNA damage checkpoint factor (CPF) genes, such as BRCA1/2, RecQ helicase genes, ATM, and CHEK2. HRR GMs were associated with an increased copy number alteration burden, more TP53 clonal mutations, and a higher probability of carrying somatic ERBB2 amplification. CPF GMs were inferred to have synergistic effects with ARID1A and KDM6A somatic mutations in CRC tumorigenesis. Among patients with onset age ≥55 years, stable microsatellites, and no cancer family history, ERBB2 amplification was significantly predictive of GM carriers. Our findings elucidate different germline tumorigenic patterns not driven by deficient MMR. Somatic ERBB2 amplification in CRC can serve as an indicator for germline genetic testing when traditional risk features are absent.
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Affiliation(s)
- Mintao Li
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xuan Gao
- Geneplus-Shenzhen Clinical Laboratory, Shenzhen, China
| | - Xiangchun Lin
- Department of Gastroenterology, Peking University International Hospital, Beijing, China
| | - Yan Zhang
- Geneplus-Beijing Institute, Beijing, China
| | - Wenying Peng
- The Second Department of Oncology, Yunnan Cancer Hospital & the Third Affiliated Hospital of Kunming Medical University & Yunnan Cancer Center, Kunming, China
| | - Tao Sun
- General Surgery Department, Peking University Third Hospital, Beijing, China
| | - Weiyang Shu
- Department of Gastroenterology, Peking University Third Hospital, Beijing, China
| | - Yanyan Shi
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | | | | | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China.
| | - Yuan Li
- Department of Gastroenterology, Peking University International Hospital, Beijing, China; Department of Gastroenterology, Peking University Third Hospital, Beijing, China.
| | - Jinzhu Jia
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China; Center for Statistical Science, Peking University, Beijing, China.
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Sun H, Hao X, Liu H, Zhang S, Han J, Zhang Y, Liu T, Yang X, Wang H, Fan J, Guan Y, Peng N, Xie J, Xia H, Ji X, Xu Y, Zhang J, Wang J, Lan F, Zhang H, Gu X, He Y. Rare damaging variants in the sex differences of congenital heart disease: an exome sequencing study. EBioMedicine 2025; 116:105736. [PMID: 40347836 PMCID: PMC12139432 DOI: 10.1016/j.ebiom.2025.105736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 04/14/2025] [Accepted: 04/15/2025] [Indexed: 05/14/2025] Open
Abstract
BACKGROUND Congenital heart disease (CHD) exhibits a marked male predominance in birth prevalence, yet the genetic mechanisms underlying this sex disparity remain poorly understood. This study investigates the contribution of rare damaging variants on autosomes and the X chromosome to sex differences in foetal CHD. METHODS Parents of foetuses with CHD were recruited for the study. Rare damaging variants were identified by analysing whole-exome sequencing data from foetus-parental trios, and their contributions to sex differences were estimated through case-control studies. Functional enrichment analysis was conducted to assess functional differences in genetic variants between sexes. FINDINGS 820 foetal probands with CHD were recruited, including 487 males and 333 females. We identified a significant enrichment of X-linked rare damaging variants, primarily driven by maternally inherited hemizygous variants (MIHVs) in male probands (OR = 1·84, P < 0·05), which accounted for 7·2% of male cases in our cohort. These variants were not found to be enriched in female probands. Additionally, X-linked rare damaging de novo variants (DNVs) were not enriched in either male or female probands (female probands: 1·8% versus female controls: 0·7%, P = 0·6789; no DNVs observed in males). Gene-level variant burden analysis revealed three X-linked CHD candidate genes: DCX, CACNA1F, and MAP3K15. Autosomal rare variants did not show significant differences in variant burdens between sexes. Notably, male probands showed specific functional enrichments in cilia-related pathways for autosomal recessive variants, as well as in chromatin remodelling and nervous system development pathways for autosomal DNVs. INTERPRETATION Male and female foetal CHD have significantly different genetic landscapes. The enrichment of X-linked rare damaging MIHVs in males provides a genetic explanation for the higher prevalence of CHD in males. This finding highlights the importance of incorporating sex-stratified approaches in clinical diagnostics and research. FUNDING Natural Science Foundation of China and Key research and development project of Hebei Province.
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Affiliation(s)
- Hairui Sun
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China; Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Xiaoyan Hao
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Hankui Liu
- BGI-genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Siyao Zhang
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Jiancheng Han
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Ye Zhang
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Tingting Liu
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Xian Yang
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Hairui Wang
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Jiaqi Fan
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Yuxuan Guan
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Ni Peng
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Jiaoyang Xie
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China
| | - Hongmei Xia
- Department of Ultrasound, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China
| | - Xueqin Ji
- Department of Ultrasound, Ningxia Women's and Children's Hospital, Beijing University First Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan, 750004, China
| | - Yan Xu
- Rizhao People's Hospital, Shandong, 276827, China
| | | | - Jianbin Wang
- School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Feng Lan
- Beijing Lab for Cardiovascular Precision Medicine, Capital Medical University, Beijing, 100069, China
| | - Hongjia Zhang
- Beijing Lab for Cardiovascular Precision Medicine, Capital Medical University, Beijing, 100069, China
| | - Xiaoyan Gu
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China; Beijing Lab for Cardiovascular Precision Medicine, Capital Medical University, Beijing, 100069, China.
| | - Yihua He
- Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China; Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, 100029, China; Beijing Lab for Cardiovascular Precision Medicine, Capital Medical University, Beijing, 100069, China.
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Heo SE, Kim M, Kim W, Choi J, Jung S, Oh Y, Choi B, Choi E, Heo D, Lee S, Park JH, Hong J. Innovative integration of biometric data and blockchain to enhance ownership and trust with NFTs. Sci Rep 2025; 15:18050. [PMID: 40410348 PMCID: PMC12102342 DOI: 10.1038/s41598-025-02516-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 05/13/2025] [Indexed: 05/25/2025] Open
Abstract
Biometric data has the potential to revolutionize health analytics and pharmacology by providing personalized insights into drug efficacy and health trajectories. However, its governance presents significant ethical challenges, particularly around individual ownership and privacy. This study addresses these challenges by proposing a sustainable and ethical framework that integrates biometric data with non-fungible tokens (NFTs). We developed a customized NFT framework with advanced smart contract functionalities that enhance privacy protection and decentralized authentication of biometric data ownership. This approach ensures the secure and ethical management of digital health data while reinforcing individuals' control over their biometric information. By leveraging cryptographic techniques for privacy protection, this framework enhances both the security and efficiency of personal health data management, offering a new perspective on ownership in digital health. Furthermore, a sustainable economic model is proposed to facilitate ethical transactions of tokenized biometric data within the NFT marketplace. The implications of this study extend beyond technology and commerce, offering valuable insights into human behavior in emerging digital economies and contributing to the creation of a more sustainable and equitable digital health ecosystem.
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Affiliation(s)
- Sung-Eun Heo
- Department of Chemical and Biomolecular Engineering, College of Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Manho Kim
- Department of Biomedical Science, Kangwon National University, Chuncheon, 24341, Gangwon-do, Republic of Korea
| | - Wijin Kim
- Department of Biomedical Science, Kangwon National University, Chuncheon, 24341, Gangwon-do, Republic of Korea
| | - Jongseok Choi
- Biyard Corporation, Seocho-gu, Seoul, 06766, Republic of Korea
| | - Sungwon Jung
- Department of Chemical and Biomolecular Engineering, College of Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Yoogyeong Oh
- Department of Chemical and Biomolecular Engineering, College of Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Bumgyu Choi
- Department of Chemical and Biomolecular Engineering, College of Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Eunji Choi
- Department of Chemical and Biomolecular Engineering, College of Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Deokjae Heo
- School of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea
| | - Sangmin Lee
- School of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea.
| | - Ju Hyun Park
- Department of Biomedical Science, Kangwon National University, Chuncheon, 24341, Gangwon-do, Republic of Korea.
| | - Jinkee Hong
- Department of Chemical and Biomolecular Engineering, College of Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
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6
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Freitas R, Felipe S, Pacheco C, Faria E, Martins J, Fortes J, Silva D, Oliveira P, Ceccatto V. Loss of miRNA-Mediated VEGFA Regulation by SNP-Induced Impairment: A Bioinformatic Analysis in Diabetic Complications. Biomedicines 2025; 13:1192. [PMID: 40427019 PMCID: PMC12109573 DOI: 10.3390/biomedicines13051192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2025] [Revised: 05/06/2025] [Accepted: 05/08/2025] [Indexed: 05/29/2025] Open
Abstract
Background/Objectives: MicroRNAs (miRNAs) are molecules involved in biological regulation processes, including type 2 diabetes and its complications development. Single nucleotide polymorphisms (SNPs) can alter miRNA mechanisms, resulting in loss or gain effects. VEGFA is recognized for its role in angiogenesis. However, its overexpression can lead to deleterious effects, such as disorganized and inefficient vasculature. Under hyperglycemic conditions, VEGFA expression seems to increase, which may contribute to the development of microvascular and macrovascular diabetic complications. Several miRNAs are associated with VEGFA regulation and seem to act in the prevention of dysregulated expression. This study aimed to investigate SNPs in miRNA regions related to the loss effect in VEGFA regulation, examining their frequency and potential physiological effects in the development of diabetic complications. Methods: VEGFA-targeting miRNAs were identified using the R package multimiR, with validated and predicted results. Tissue expression analysis and SNP search were data-mined with Python 3 for miRNASNP-v3 SNP raw databases. Allele frequencies were obtained from dbSNP. The miRNA-mRNA interaction comparison was obtained in the miRmap tool through Python 3. MalaCards were used to infer physiological disease association. Results: The variant rs371699284 was selected in hsa-miR-654-3p among 103 potential VEGFA-targeting miRNAs. This selected SNP demonstrated promising results in bioinformatics predictions, tissue-specific expression, and population frequency, highlighting its potential role in miRNA regulation and the resulting loss in VEGFA-silencing efficiency. Conclusions: Our findings suggest that carriers of rs1238947970 may increase susceptibility to diabetic microvascular and macrovascular complications. Furthermore, in vitro and in silico studies are necessary to better understand these processes.
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Affiliation(s)
- Raquel Freitas
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Stela Felipe
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Christina Pacheco
- Departamento de Biologia Celular e Molecular, Federal University of Paraíba—UFPB, João Pessoa 58051-900, PB, Brazil;
| | - Emmanuelle Faria
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Jonathan Martins
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Jefferson Fortes
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Denner Silva
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Paulo Oliveira
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
| | - Vania Ceccatto
- Laboratory of Biochemistry and Molecular Biology of UECE—LABIEX, Superior Institute of Biomedical Science—ISCB, State University of Ceará—UECE, Silas Munguba Avenue, 1700, Fortaleza 60714-903, CE, Brazil; (S.F.); (E.F.); (J.M.); (D.S.); (P.O.); (V.C.)
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7
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Shou W, Zhang C, Wang Y, Wang H, Guo L, Li L, Zhang T, Huang W, Shi J. Contrastive sequence signatures between the both sides of a recombination spot reveal an adaptation at PPARD locus from standing variation for pleiotropy since out-of-Africa dispersal. BMC Genomics 2025; 26:427. [PMID: 40307732 PMCID: PMC12042533 DOI: 10.1186/s12864-025-11620-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2025] [Accepted: 04/21/2025] [Indexed: 05/02/2025] Open
Abstract
BACKGROUND Drug metabolism and transporter genes are a specialized class of genes involved in absorption, distribution, metabolism and excretion. They easily present distinct genetic population differentiation and are vulnerable to natural selection. RESULTS We initiated a study using a special panel of informative genetic markers in such genes and dissected the genetic structure in representative Chinese and worldwide populations. A distinctive sub-population stratification was discovered in extensive Eurasians and resulted from divergence at the PPARD locus. The contrastive sequence signatures between the both sides of a recombination spot prove a selective sweep on this locus for genetic hitchhiking effect. A genealogy-based framework demonstrates the positive selection acting from standing variation exerted a moderate pressure in Eurasians, and drove the adaptive allele up to a high frequency. The timing and tempo estimations for the genetic adaptation indicate its onset coincided with the early out-of-Africa migration of modern humans and it lasted over a prolonged evolutionary history. A phenome-wide association analysis reveals an extended cis-regulation on the local gene expression and the pleiotropy implicated in a variety of complex traits. The colocalization analyses between the genetic associations from cis-acting gene expression and complex traits signify the most likely selective pressure from physical capacity, energy metabolism, and immune-related involvement, and provide prioritization for the effective genes and casual variants. CONCLUSIONS This work has laid a foundation for following efforts to make full sense of the biological mechanisms underlying the genetic adaptation.
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Affiliation(s)
- Weihua Shou
- Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Kunming Children's Hospital, 288 Qianxing Road, Kunming, Yunnan, 650228, P.R. China.
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), 2140 Xietu Road, Shanghai, 200032, P.R. China.
| | - Chenhui Zhang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), 2140 Xietu Road, Shanghai, 200032, P.R. China
| | - Ying Wang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), 2140 Xietu Road, Shanghai, 200032, P.R. China
| | - Haifeng Wang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), 2140 Xietu Road, Shanghai, 200032, P.R. China
| | - Lei Guo
- Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Kunming Children's Hospital, 288 Qianxing Road, Kunming, Yunnan, 650228, P.R. China
| | - Li Li
- Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Kunming Children's Hospital, 288 Qianxing Road, Kunming, Yunnan, 650228, P.R. China
| | - Tiesong Zhang
- Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Kunming Children's Hospital, 288 Qianxing Road, Kunming, Yunnan, 650228, P.R. China.
| | - Wei Huang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), 2140 Xietu Road, Shanghai, 200032, P.R. China
| | - Jinxiu Shi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), 2140 Xietu Road, Shanghai, 200032, P.R. China.
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8
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Chen H, Xu S. Population genomics advances in frontier ethnic minorities in China. SCIENCE CHINA. LIFE SCIENCES 2025; 68:961-973. [PMID: 39643831 DOI: 10.1007/s11427-024-2659-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 06/18/2024] [Indexed: 12/09/2024]
Abstract
China, with its large geographic span, possesses rich genetic diversity across vast frontier regions in addition to the Han Chinese majority. Importantly, demographic events and various natural and cultural environments in Chinese frontier regions have shaped the genomic diversity of ethnic minorities via local adaptations. Thus, insights into the genetic diversity and adaptive evolution of these under-represented ethnic groups are crucial for understanding evolutionary scenarios and biomedical implications in East Asian populations. Here, we focus on ethnic minorities in Chinese frontier regions and review research advances regarding genomic diversity, genetic structure, population history, genetic admixture, and local adaptation. We first provide an overview of the extensive genetic diversity across populations in different Chinese frontier regions. Next, we summarize research progress regarding genetic ancestry, demographic history, the adaptive process, and the archaic identification of multiple ethnic minorities in different Chinese frontier regions. Finally, we discuss the gaps and opportunities in genomic studies of Chinese populations and the need for a more comprehensive understanding of genomic diversity and the evolution of populations of East Asian ancestry in the post-genomic era.
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Affiliation(s)
- Hao Chen
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Shuhua Xu
- Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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9
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Yang T, Wei Q, Pang D, Cheng Y, Huang J, Lin J, Xiao Y, Jiang Q, Wang S, Li C, Shang H. Mutation Screening of ATXN1, ATXN2, and ATXN3 in Amyotrophic Lateral Sclerosis. Mol Neurobiol 2025; 62:4854-4865. [PMID: 39496878 DOI: 10.1007/s12035-024-04600-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 10/27/2024] [Indexed: 11/06/2024]
Abstract
Emerging evidence suggests potential disease modifying roles of ATXN1, ATXN2, and ATXN3 in amyotrophic lateral sclerosis (ALS). We aimed to provide a comprehensive variants profile of the ATXN1, ATXN2, and ATXN3 genes and examine the association of these variants with the risk and clinical characteristics of ALS. We screened and analyzed the rare variants in a cohort of 2220 ALS patients from Southwest China, using controls from the Genome Aggregation Database (gnomAD) and the China Metabolic Analytics Project (ChinaMAP). The over-representation of rare variants and their association with disease risk in ALS patients were assessed using Fisher's exact test with Bonferroni correction at both allele and gene levels. Kaplan-Meier analysis was employed to explore the relationship between the distribution of variants and survival. A total of 62 eligible rare missense variants were identified, comprising 32 from ATXN1, 21 from ATXN2, and 9 from ATXN3. Allelic association testing revealed a significant enrichment of the ATXN1 (c.2122C > G, p.Leu708Val) variant and the ATXN2 (c.3778C > G, p.Pro1260Ala) variant in ALS. Gene burden analysis indicated that variants in the ATXN1 and ATXN3 genes had a higher burden in ALS. Substantial heterogeneity in survival time was observed among patients carrying different variants within the same gene. However, there were no significant differences in survival between ALS patients grouped by N-terminal or C-terminal distribution. Our results provided a genetic variation profile of ATXN1, ATXN2, and ATXN3 in ALS patients, along with the clinical characteristics of individuals carrying these variations. This information might offer valuable insights for the ongoing ALS disease-modifying treatments.
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Affiliation(s)
- Tianmi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Qianqian Wei
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Dejiang Pang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Yangfan Cheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Jingxuan Huang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Shichan Wang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China.
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Chengdu, 610041, Sichuan, China.
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10
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He G, Yao H, Duan S, Luo L, Sun Q, Tang R, Chen J, Wang Z, Sun Y, Li X, Hu L, Yun L, Yang J, Yan J, Nie S, Zhu Y, Wang CC, Liu B, Hu L, Liu C, Wang M. Pilot work of the 10K Chinese People Genomic Diversity Project along the Silk Road suggests a complex east-west admixture landscape and biological adaptations. SCIENCE CHINA. LIFE SCIENCES 2025; 68:914-933. [PMID: 39862346 DOI: 10.1007/s11427-024-2748-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 09/27/2024] [Indexed: 01/27/2025]
Abstract
Genomic sources from China are underrepresented in the population-specific reference database. We performed whole-genome sequencing or genome-wide genotyping on 1,207 individuals from four linguistically diverse groups (1,081 Sinitic, 56 Mongolic, 40 Turkic, and 30 Tibeto-Burman people) living in North China included in the 10K Chinese People Genomic Diversity Project (10K_CPGDP) to characterize the genetic architecture and adaptative history of ethnic groups in the Silk Road Region of China. We observed a population split between Northwest Chinese minorities (NWCMs) and Han Chinese since the Upper Paleolithic and later Neolithic genetic differentiation within NWCMs. The observed population substructures among ethnically/linguistically diverse NWCMs suggested that differentiated admixture events contributed to the differences in their genomic and phenotypic diversity. We estimated that the Dongxiang, Tibetan, and Yugur people inherited more than 10% of the Western Eurasian ancestry, which is much greater than that of the Salar and Tu people (<7%), while Han neighbors showed less West Eurasian ancestry (∼1%-3%). Male-biased admixture introduced Western Eurasian ancestry in the Dongxiang, Tibetan, and Yugur populations. We found that the eastern-western admixture in NWCMs occurred ∼800-1,100 years ago, coinciding with intensive economic and cultural exchanges during the Tang and Song dynasties. Additionally, we identified the signatures of natural selection associated with cardiovascular system diseases or lipid metabolism and developmental/neurogenetic disorders. Moreover, the EPAS1 gene showed relatively high population branch statistic values in NWCMs. The well-fitted demographical models presented the vast landscape of complex admixture processes of the Silk Road people, and the newly reported functionally important variations suggested the importance of including ethnolinguistically diverse populations in Chinese genetic studies for uncovering the genetic basis of complex traits/diseases.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Hongbing Yao
- Belt and Road Research Center for Forensic Molecular Anthropology, Gansu University of Political Science and Law, Lanzhou, 730000, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, 637007, China
- Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, China
- Institution of Genome Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, China
| | - Lintao Luo
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Junbao Yang
- School of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, 637007, China
- Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, China
- Institution of Genome Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yanfeng Zhu
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361005, China
| | - Bing Liu
- Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Lan Hu
- Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510220, China.
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510220, China.
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
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11
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Hou W, Fu X, Xie X, Zhang C, Zhang M, Xiao R, Lu Y. Tailoring monogenic disease carrier screening panels for Chinese populations: The importance of considering regional differences. Eur J Med Genet 2025; 74:105002. [PMID: 39978591 DOI: 10.1016/j.ejmg.2025.105002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 01/31/2025] [Accepted: 02/16/2025] [Indexed: 02/22/2025]
Abstract
Carrier screening for monogenic diseases is becoming increasingly important in preventive medicine, yet selecting appropriate target genes remains a complex task, especially in countries with significant ethnic and geographic diversity such as China. This study aimed to develop a strategy to screen for carrier screening target genes suitable for the Chinese population, considering regional variations in carrier frequencies (CFs). We analyzed a dataset from a large-scale, multicenter carrier screening study, encompassing 33,104 individuals from different regions of China and carrier status for 223 genes. We focused on the CFs of these genes across regions. The study first stratified the population based on participants' self-reported ancestral places and then applied consensus k-means clustering analysis to the CF characteristics of these regions. This approach enabled us to identify distinct regional subpopulations with shared genetic backgrounds. The results showed that the regions clustered into three subpopulations (North, South, and Far South) based on CF characteristics, and 44 genes exhibited significant CF differences across these subpopulations (α = 0.05). Applying an overall CF threshold without considering regional diversity would have excluded 11 regionally prevalent genes from the screening panel. By incorporating regional variations, we accurately identified 58 genes that met the recommended CF criteria (autosomal gene CF > 1/200, X-linked gene CF > 1/40,000) in at least one subpopulation. This study emphasizes the importance of considering regional diversity when designing carrier screening panels for monogenic diseases in China. Our proposed strategy, combining regional stratification and clustering analysis, provides a more precise method for selecting target genes, thereby enhancing the effectiveness and relevance of screening programs across different Chinese populations.
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Affiliation(s)
- Wei Hou
- Department of Gynecology and Obstetrics, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xiaolin Fu
- Department of Gynecology and Obstetrics, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xiaoxiao Xie
- Department of Gynecology and Obstetrics, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chunyan Zhang
- Birth Defects Prevention and Control Technology Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Manli Zhang
- Birth Defects Prevention and Control Technology Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
| | - Rui Xiao
- Zhejiang Biosan Biochemical Technologies Co. Ltd, Hangzhou, Zhejiang, China
| | - Yanping Lu
- Department of Gynecology and Obstetrics, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China.
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12
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Ni M, Zhu Y, Chen Y, Zhao S, Gao A, Lu J, Wang W, Liu R, Gu W, Hong J, Wang J. A gain-of-function variant in RICTOR predisposes to human obesity. J Genet Genomics 2025; 52:549-558. [PMID: 39984155 DOI: 10.1016/j.jgg.2025.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 02/09/2025] [Accepted: 02/09/2025] [Indexed: 02/23/2025]
Abstract
mTORC1/2 play central roles as signaling hubs of cell growth and metabolism and are therapeutic targets for several diseases. However, the human genetic evidence linking mutations of mTORC1/2 to obesity remains elusive. Using whole-exome sequencing of 1944 cases with severe obesity and 2161 healthy lean controls, we identify a rare RICTOR p.I116V variant enriched in 9 unrelated cases. In Rictor null mouse embryonic fibroblasts, overexpression of the RICTOR p.I116V mutant increases phosphorylation of AKT, a canonical mTORC2 substrate, compared with wild-type RICTOR, indicating a gain-of-function change. Consistent with the human obesity phenotype, the knock-in mice carrying homogenous Rictor p.I116V variants gain more body weight under a high-fat diet. Additionally, the stromal vascular fraction cells derived from inguinal white adipose tissue of knock-in mice display an enhanced capacity for adipocyte differentiation via AKT activity. These findings demonstrate that the rare gain-of-function RICTOR p.I116V mutation activates AKT signaling, promotes adipogenesis, and contributes to obesity in humans.
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Affiliation(s)
- Mengshan Ni
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Yinmeng Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Yufei Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Shaoqian Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Aibo Gao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Ruixin Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China.
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China.
| | - Jiqiu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai 200025, China.
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13
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Wang M, Sun Q, Feng Y, Wei LH, Liu K, Luo L, Huang Y, Zhou K, Yuan H, Lv H, Lu Y, Cheng J, Wen S, Wang CC, Tang R, Bu F, Liu C, Yuan H, Wang Z, He G. Paleolithic divergence and multiple Neolithic expansions of ancestral nomadic emperor-related paternal lineages. J Genet Genomics 2025; 52:502-512. [PMID: 39608672 DOI: 10.1016/j.jgg.2024.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 11/17/2024] [Accepted: 11/20/2024] [Indexed: 11/30/2024]
Abstract
The reconstruction of demographic history using ancient and modern genomic resources reveals extensive interactions and admixture between ancient nomadic pastoralists and the social organizations of the Chinese Central Plain. However, the extent to which Y-chromosome genetic legacies from nomadic emperor-related ancestral lineages influence the Chinese paternal gene pool remains unclear. Here, we genotype 2717 ethnolinguistically diverse samples belonging to C2a lineages, perform whole-genome sequencing on 997 representative samples, and integrate these data with ancient genomic sequences. We reconstruct the evolutionary histories of Northern Zhou-, Qing emperor-, and pastoralist-related lineages to assess their genetic impact on modern Chinese populations. This reassembled fine-scale Y-chromosome phylogeny identifies deep divergence and five Neolithic expansion events contributing differently to the formation of northern Chinese populations. Phylogeographic modeling indicates that the nomadic empires of the Northern Zhou and Qing dynasties genetically originated from the Mongolian Plateau. Phylogenetic topology and shared haplotype patterns show that three upstream ancestors of Northern Zhou (C2a1a1b1a2a1b-FGC28857), Donghu tribe (C2a1a1b1-F1756), and Qing (C2a1a3a2-F10283) emperor-related lineages expanded during the middle Neolithic, contributing significantly to genetic flow between ancient northeastern Asians and modern East Asians. Notably, this study reveals limited direct contributions of Emperor Wu of Northern Zhou's lineages to modern East Asians.
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Affiliation(s)
- Mengge Wang
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong 510230, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China; Human Genetics and Forensic Genomics Research Institute, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China.
| | - Qiuxia Sun
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China; Human Genetics and Forensic Genomics Research Institute, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Yuhang Feng
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Lan-Hai Wei
- Institute of Humanities and Human Sciences, Inner Mongolia Normal University, Hohhot, Inner Mongolia 010022, China
| | - Kaijun Liu
- Institute of 23Mofang, Tianfu Software Park, Chengdu, Sichuan 610042, China
| | - Lintao Luo
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China; Human Genetics and Forensic Genomics Research Institute, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Yuguo Huang
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Kun Zhou
- Institute of 23Mofang, Tianfu Software Park, Chengdu, Sichuan 610042, China
| | - Haibing Yuan
- Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Hongliang Lv
- Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Yu Lu
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China
| | - Jing Cheng
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Shaoqing Wen
- MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China; Human Genetics and Forensic Genomics Research Institute, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Fengxiao Bu
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong 510230, China.
| | - Huijun Yuan
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
| | - Zhiyong Wang
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China; Human Genetics and Forensic Genomics Research Institute, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China.
| | - Guanglin He
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong 510230, China.
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Peng W, Li GF, Lin GW, Cheng XX, Zuo XY, Lin QH, Liu SQ, Li DJ, Lin DC, Yin JQ, Luo CL, Zhang YY, Xie XB, Bei JX. Identification of novel germline mutations in FUT7 and EXT1 linked with hereditary multiple exostoses. Oncogene 2025; 44:835-848. [PMID: 39690272 DOI: 10.1038/s41388-024-03254-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 11/29/2024] [Accepted: 12/05/2024] [Indexed: 12/19/2024]
Abstract
Hereditary multiple exostoses (HME) is an autosomal dominant skeletal disorder primarily linked with mutations in Exostosin-1 (EXT1) and Exostosin-2 (EXT2) genes. However, not all HME cases can be explained by these mutations, and its pathogenic mechanisms are not fully understood. Herein, utilizing whole-exome sequencing and genetic screening with a family trio design, we identify two novel rare mutations co-segregating with HME in a Chinese family, including a nonsense mutation (c.204G>A, p.Trp68*) in EXT1 and a missense mutation (c.893T>G, p.Phe298Cys) in FUT7. Functional assays reveal that the FUT7 mutation affects the cellular localization of FUT7 protein and regulates cell proliferation. Notably, the simultaneous loss of fut7 and ext1 in a zebrafish model results in severe chondrodysplasia, indicating a functional link between FUT7 and EXT1 in chondrocyte regulation. Additionally, we unveil that FUT7 p.Phe298Cys reduces EXT1 expression through IL6/STAT3/SLUG axis at the transcription level and through ubiquitination-related proteasomal degradation at the protein level. Together, our findings not only identify novel germline mutations in FUT7 and EXT1 genes, but also highlight the critical interaction between these genes, suggesting a potential 'second-hit' mechanism over EXT1 mutations in HME pathogenesis. This insight enhances our understanding of the mechanisms underlying HME and opens new avenues for potential therapeutic interventions.
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Affiliation(s)
- Wan Peng
- Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, P. R. China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
- Blood Tranfusion Department, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, P. R. China
| | - Gao-Fei Li
- Innovation Centre of Ministry of Education for Development and Diseases, School of medicine, South China University of Technology, Guangzhou, 510006, P. R. China
| | - Guo-Wang Lin
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Xi-Xi Cheng
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Xiao-Yu Zuo
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Qiao-Hong Lin
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Shu-Qiang Liu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - De-Jun Li
- Prenatal Diagnosis Center, Reproductive Medicine Center, The First Hospital of Jilin University, Changchun, 130021, P. R. China
| | - Dao-Chao Lin
- Department of Orthopaedics, Shulan (Hangzhou) Hospital, Hangzhou, 311000, P. R. China
| | - Jun-Qiang Yin
- Department of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, P. R. China
| | - Chun-Ling Luo
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Yi-Yue Zhang
- Innovation Centre of Ministry of Education for Development and Diseases, School of medicine, South China University of Technology, Guangzhou, 510006, P. R. China
| | - Xian-Biao Xie
- Department of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, P. R. China.
| | - Jin-Xin Bei
- Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, P. R. China.
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
- Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
- Department of Medical Oncology, National Cancer Centre of Singapore, Singapore, Singapore.
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15
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Zhu H, Wang Y, Li L, Wang L, Zhang H, Jin X. Cell-free DNA from clinical testing as a resource of population genetic analysis. Trends Genet 2025; 41:330-344. [PMID: 39578178 DOI: 10.1016/j.tig.2024.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 10/23/2024] [Accepted: 10/23/2024] [Indexed: 11/24/2024]
Abstract
As a noninvasive biomarker, cell-free DNA (cfDNA) has achieved remarkable success in clinical applications. Notably, cfDNA is essentially DNA, and conducting whole-genome sequencing (WGS) can yield a wealth of genetic information. These invaluable data should not be confined to one-time use; instead, they should be leveraged for more comprehensive population genetic analysis, including genetic variation spectrum, population structure and genetic selection, and genome-wide association studies (GWASs), among others. Such research findings can, in turn, facilitate clinical practice, enabling more advanced and accurate disease predictions. This review explores the advantages, challenges, and current research areas of cfDNA in population genetics. We hope that this review can serve as a new chapter in the repurposing of cfDNA sequence data generated from clinical testing in population genetics.
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Affiliation(s)
- Huanhuan Zhu
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China
| | - Yu Wang
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China
| | - Linxuan Li
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China; College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lin Wang
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China
| | - Haiqiang Zhang
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China
| | - Xin Jin
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China; School of Medicine, South China University of Technology, Guangzhou 510641, China; Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China.
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16
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Xiao J, Feng C, Zhu T, Zhang X, Chen X, Li Z, You J, Wang Q, Zhuansun D, Meng X, Wang J, Xiang L, Yu X, Zhou B, Tang W, Tou J, Wang Y, Yang H, Yu L, Liu Y, Jiang X, Ren H, Yu M, Chen Q, Yin Q, Liu X, Xu Z, Wu D, Yu D, Wu X, Yang J, Xiong B, Chen F, Hao X, Feng J. Rare and common genetic variants underlying the risk of Hirschsprung's disease. Hum Mol Genet 2025; 34:586-598. [PMID: 39817569 DOI: 10.1093/hmg/ddae205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 12/17/2024] [Accepted: 12/27/2024] [Indexed: 01/18/2025] Open
Abstract
Hirschsprung's disease (HSCR) is a congenital enteric neuropathic disorder characterized by high heritability (>80%) and polygenic inheritance (>20 genes). The previous genome-wide association studies (GWAS) identified several common variants associated with HSCR and demonstrated increased predictive performance for HSCR risk in Europeans using a genetic risk score, there remains a notable gap in knowledge regarding Chinese populations. We conducted whole exome sequencing in a HSCR case cohort in Chinese. By using the common controls (505 controls from 1KG EAS and 10 588 controls from ChinaMAP), we conducted GWAS for the common variants in the exome and gene-based association for rare variants. We further validated the associated variants and genes in replicated samples and in vitro and vivo experiments. We identified one novel gene PLK5 by GWAS and suggested 45 novel putative genes based the gene-based test. By using genetic variant at RET and PLK5, we constructed a genetic risk score that could identify the individuals with very high genetic risk for HSCR. Compared with patients with zero or one risk allele from the three variants, the risk for HSCR was 36.61 times higher with six alleles. In addition, we delineated a HSCR risk gene landscape that encompasses 57 genes, which explains 88.5% and 54.5% of HSCR in Chinese and European, respectively. In summary, this study improved the understanding of genetic architecture of HSCR and provided a risk prediction approach for HSCR in the Chinese.
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Affiliation(s)
- Jun Xiao
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Chenzhao Feng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Tianqi Zhu
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Xuan Zhang
- Department of Pediatric Surgery, Pingshan District Maternal & Child Healthcare Hospital of Shenzhen, No. 6 Longtian South Road, Longtian Subdistrict, Pingshan District, Shenzhen, Guangdong 518122, China
| | - Xuyong Chen
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Zejian Li
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Jingyi You
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Qiong Wang
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Didi Zhuansun
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Xinyao Meng
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Jing Wang
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Lei Xiang
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Xiaosi Yu
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Bingyan Zhou
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Weibing Tang
- Department of Pediatric Surgery, Children's Hospital of Nanjing Medical University, No. 72 Guangzhou Road, Gulou District, Nanjing, Jiangsu 210008, China
| | - Jinfa Tou
- Department of General Surgery, Children's Hospital, Zhejiang University School of Medicine, No. 3333 Binsheng Road, Binjiang District, Hangzhou, Zhejiang 310003, China
| | - Yi Wang
- Department of General and Neonatal Surgery, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong District, Chongqing 400014, China
| | - Heying Yang
- Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, No. 1 Renmin Road, Erqi District, Henan 450052, China
| | - Lei Yu
- Department of Neonatal Surgery, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 100 Hong Kong Road, Jiang'an District, Wuhan, Hubei 430030, China
| | - Yuanmei Liu
- Department of Pediatric Surgery, The Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan District, Zunyi, Guizhou 563000, China
| | - Xuewu Jiang
- Department of Pediatric Surgery, The Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong 515041, China
| | - Hongxia Ren
- Department of Neonatal Surgery, Children's Hospital of Shanxi, No. 13 Xinminbei Street, Xinhualing district, Taiyuan, Shanxi 030013, China
| | - Mei Yu
- Department of Pediatric Surgery, Guiyang Maternal and Child Health Hospital, No. 63 Ruijin South Road, Nanming district, Guiyang, Guizhou 550002, China
| | - Qi Chen
- Department of Pediatric Surgery, The Third Affiliated Hospital of Zhengzhou University, No. 7 Kangfuqian Street, Erqi District, Zhengzhou 450052, Henan, China
| | - Qiang Yin
- Department of General Surgery, Hunan Children's Hospital, No. 86 Ziyuan Road, Yuhua District, Changsha, Hunan 515041, China
| | - Xiang Liu
- Department of Pediatric Surgery, Anhui Provincial Children's Hospital, No. 39 Wangjiang East Road, Wuhu Road Subdistrict, Hefei, Anhui 230051, China
| | - Zhilin Xu
- Department of Pediatric Surgery, The First Affiliated Hospital of Harbin Medical University, No. 199 Dazhi Street, Nangang district, Harbin, Heilongjiang 150001, China
| | - Dianming Wu
- Department of Pediatric Surgery, Fujian Maternity and Child Health Hospital, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian 350001, China
| | - Donghai Yu
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Xiaojuan Wu
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Jixin Yang
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
| | - Bo Xiong
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Qiaokou District, Wuhan, Hubei 430030, China
| | - Feng Chen
- Department of Pediatric Surgery, Union Hospital, Fujian Medical University, No. 29, Xinquan Road, Gulou District, Fuzhou, Fujian 350001, China
| | - Xingjie Hao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College Huazhong University of Science and Technology, No. 13 Hangkong Road, Qiaokou District, Wuhan, Hubei 430030, China
| | - Jiexiong Feng
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
- Hubei Clinical Center of Hirschsprung's disease and allied disorders, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei 430030, China
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Xia R, Yu X, Wu H, Peng L, Du Z, Yu X, Xing S, Lu F, Mao X. Associations between RetNet gene polymorphisms and the efficacy of orthokeratology for myopia control: a retrospective clinical study. EYE AND VISION (LONDON, ENGLAND) 2025; 12:13. [PMID: 40091069 PMCID: PMC11912624 DOI: 10.1186/s40662-025-00426-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 02/13/2025] [Indexed: 03/19/2025]
Abstract
BACKGROUND This study investigated how clinical and genetic factors impact the effectiveness of orthokeratology lenses in myopia. METHODS A retrospective clinical study was conducted with a sample of 545 children aged 8-12 years who had myopia and have initially worn orthokeratology lenses for one year. Whole-genome sequencing (WGS) was also performed on 60 participants in two groups, one with rapid axial length (AL) progression of larger than 0.33 mm and the other with slow AL progression of less than 0.09 mm. The RetNet database was used to screen candidate genes that may contribute to the effectiveness of orthokeratology lenses in controlling myopia. RESULTS Children with greater baseline AL, greater spherical equivalent (SE) and greater age had better myopia control with orthokeratology lenses. A significant excess of nonsynonymous variants was observed among those with slow myopia progression, and these were prominently enriched in retinal disease-related genes. Subsequently, RIMS2 [odds ratio (OR) = 0.01, P = 0.0097] and LCA5 (OR = 9.27, P = 0.0089) were found to harbor an excess number of nonsynonymous variants in patients with slow progression of high myopia. Two intronic common variants rs36006402 in SLC7A14 and rs2285814 in CLUAP1 were strongly associated with AL growth. The identification of these novel genes associated with the effectiveness of orthokeratology lens therapy in myopic children provides insight into the genetic mechanism of orthokeratology treatment. CONCLUSION The effectiveness of orthokeratology lens treatment relates to interindividual variability in the control of AL growth in myopic eyes. The efficacy increased when patients carried more nonsynonymous variants in retinal disease-related gene sets. These data serve as reference for genetic counselling and the management of patients who choose orthokeratology lenses to control myopia.
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Affiliation(s)
- Ruijing Xia
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Xiangyi Yu
- Institute of PSI Genomics Co., Ltd., Shanghai, China
| | - Hao Wu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Lulu Peng
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Zhenlin Du
- Institute of PSI Genomics Co., Ltd., Shanghai, China
| | - Xiaoguang Yu
- Institute of PSI Genomics Co., Ltd., Shanghai, China
| | - Shilai Xing
- Institute of PSI Genomics Co., Ltd., Shanghai, China.
| | - Fan Lu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
| | - Xinjie Mao
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
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Liu H, Liu Y, Zhao Y, Ma Y, Chen Q, Xu H, Wang X, Guo X, Wang H, Chen Z, Zhang S, Han B. A scoping review of human genetic resources management policies and databases in high- and middle-low-income countries. BMC Med Ethics 2025; 26:37. [PMID: 40089739 PMCID: PMC11909912 DOI: 10.1186/s12910-025-01192-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 03/05/2025] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND This review examines global human genetic resources management, focusing on genetic data policies and repositories in high- and middle-low-income countries. METHODS A comprehensive search strategy was employed across multiple databases, including official government websites and Google, to gather relevant literature on human genetic resources management policies and genetic resource databases. Documents were screened for relevance, focusing on high-income countries (United States, United Kingdom, Japan) and middle-low-income countries (China, India, Kenya). Data were extracted, coded, and analyzed to identify common themes and differences in genetic resource management practices. RESULTS High-income countries benefit from robust legal frameworks and advanced technological infrastructures. The United States enforces the Health Insurance Portability and Accountability Act and the Genetic Information Nondiscrimination Act to protect privacy and facilitate data sharing, while Japan relies on the Act on the Protection of Personal Information and ethical guidelines. Additionally, high-income countries host a variety of genetic databases and biobanks that support scientific research. In contrast, middle-low-income countries like China, India, and Kenya are still developing their frameworks. China has regulations such as the Biosecurity Law and the Regulations on the Management of Human Genetic Resources, but still requires more unified standards. India's policies focus on genetic research and data protection through the Biological Diversity Act, while Kenya seeks to improve data management through the 2019 Data Protection Act. CONCLUSION Significant disparities exist in human genetic resources management between high-income and middle-low-income countries. High-income countries have robust systems balancing privacy protection with research facilitation, supported by comprehensive and large-scale databases for scientific research. Middle-low-income countries need to enhance legal frameworks and build population-specific databases. Promoting equitable data sharing and adopting best practices from high-income countries are essential for advancing global scientific discovery and ensuring fair management of genetic resources.
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Affiliation(s)
- Hongwei Liu
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Yin Liu
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Yanyan Zhao
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
- Henan Province Engineering Research Center of Artificial Intelligence and Internet of Things Wise Medical, Zhengzhou, China
| | - Yingqi Ma
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Qiong Chen
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Huifang Xu
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Xiaoyang Wang
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Xiaoli Guo
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Hong Wang
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Zelong Chen
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
- Henan Province Engineering Research Center of Artificial Intelligence and Internet of Things Wise Medical, Zhengzhou, China
| | - Shaokai Zhang
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
| | - Binbin Han
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
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Sun HS, Huang T, Liu ZX, Xu YT, Wang YQ, Wang MC, Zhang SR, Xu JL, Zhu KY, Huang WK, Huang XF, Li J. Identification of mutations associated with congenital cataracts in nineteen Chinese families. BMC Ophthalmol 2025; 25:94. [PMID: 39994538 PMCID: PMC11853334 DOI: 10.1186/s12886-025-03920-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 02/13/2025] [Indexed: 02/26/2025] Open
Abstract
BACKGROUND Congenital cataracts (CC) are one of the leading causes of impaired vision or blindness in children, with approximately 8.3-25% being inherited. The aim of this study is to investigate the mutation spectrum and frequency of 9 cataract-associated genes in 19 Chinese families with congenital cataracts. PURPOSE To identify the gene variants associated with congenital cataracts. METHODS This study included a total of 58 patients from 19 pedigrees with congenital cataracts. All probands were initially screened by whole-exome sequencing(WES), and then validated by co-segregation analysis using Sanger sequencing. RESULTS Likely pathogenic variants were detected in 8 families, with a positivity rate of 42.1%. Variants in various genes were identified, including GJA3, CRYGD, CRYBA4, BFSP2, IARS2, CRYAA, CRYBA1, ARL2 and CRYBB3. Importantly, this study identified compound heterozygous variants of IARS2 in one family. CONCLUSIONS Our research findings have revealed multiple gene variants associated with cataracts, providing clinical guidance for improved molecular diagnosis of congenital cataracts in the era of precision medicine.
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Affiliation(s)
- Hai-Sen Sun
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Teng Huang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zhe-Xuan Liu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yi-Tong Xu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Ya-Qi Wang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | | | - Shen-Rong Zhang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jia-Lin Xu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Kai-Yi Zhu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wen-Kai Huang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiu-Feng Huang
- Zhejiang Provincial Clinical Research Center for Pediatric Disease, The Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - Jin Li
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
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20
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Huang T, Liu YN, Ding DT, Wang Q, Xie QL, Miao XC, Qin C, Huang XF, Li J. Identification of a novel single nucleotide deletion in the NHS causing Nance-Horan syndrome. BMC Ophthalmol 2025; 25:92. [PMID: 39994540 PMCID: PMC11854407 DOI: 10.1186/s12886-025-03933-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Accepted: 02/18/2025] [Indexed: 02/26/2025] Open
Abstract
BACKGROUND Nance-Horan syndrome (NHS) is a rare X-linked dominant disorder caused by pathogenic variants in the NHS gene on chromosome Xp22.2-Xp22.13. Clinical manifestations consist of congenital cataracts, along with dysmorphic facial features and dental anomalies and, in certain instances, intellectual disability. This study aimed to identify the genetic cause responsible for NHS in a Chinese family with four individuals primarily presenting with congenital cataracts. METHODS Genomic DNA was collected from six family members, including four affected individuals (three females and one male) from a two-generation family. The family history and clinical data were documented. Whole-exome sequencing was performed on the proband, and candidate pathogenic variants were filtered through a series of screening steps and validated by Sanger sequencing. Co-segregation analysis was conducted to confirm the pathogenicity of the identified variant. RESULTS Genetic analysis revealed a novel frameshift pathogenic variant in NHS gene (c.1735delA: p.R579Gfs*91) present in all four affected members. All affected members exhibited congenital cataracts, congenital ptosis, strabismus, high myopia as well as dental and facial anomalies, and more severe characteristic features observed in the male patient. These clinical manifestations were consistent with the phenotype of NHS. CONCLUSION This study identified a novel NHS pathogenic variant in a Chinese family, expanding the mutational spectrum of NHS. Contrary to previous reports of female carriers exhibiting mild symptoms, we demonstrated severe ocular phenotypes in three affected females. These findings will assist in providing genetic counseling for NHS patients.
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Affiliation(s)
- Teng Huang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Ya-Nan Liu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Dan-Tong Ding
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Qiao Wang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Qiu-Ling Xie
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xue-Chuan Miao
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Chuan Qin
- Institute of PSI Genomics Co., Ltd, Wenzhou, China
| | - Xiu-Feng Huang
- Zhejiang Provincial Clinical Research Center for Pediatric Disease, Wenzhou, 325027, China.
| | - Jin Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
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21
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Qiao X, Shi J, Xu H, Liu K, Pu Y, Xue X, Zheng W, Guo Y, Ma H, Wang CC, Bitsue HK, Xu X, Wang S, Zhao J, Guo X, Hou X, Wang X, Peng L, Qiu Z, Su B, Tang W, He Y, Guo J, Yang Z. Genetic diversity and dietary adaptations of the Central Plains Han Chinese population in East Asia. Commun Biol 2025; 8:291. [PMID: 39987348 PMCID: PMC11846999 DOI: 10.1038/s42003-025-07760-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Accepted: 02/17/2025] [Indexed: 02/24/2025] Open
Abstract
The Central Plains Han Chinese (CPHC) is the typical agricultural population of East Asia. Investigating the genome of the CPHC is crucial to understanding the genetic structure and adaptation of the modern humans in East Asia. Here, we perform whole genome sequencing of 492 CPHC individuals and obtained 22.65 million SNPs, 4.26 million INDELs and 41,959 SVs. We found the CPHC has a higher level of genetic diversity and the glycolipid metabolic genes show strong selection signals, e.g. LONP2, FADS2, FGF21 and SLC19A2. Ancient DNA analyses suggest that the domestication of crops, which drove the emergence of the candidate mutations. Notably, East Asian-specific SVs, e.g., DEL_21699 (LINC01749) and DEL_38406 (FAM102A) may be associated with the high prevalence of esophageal squamous carcinoma and primary angle-closure glaucoma. Our results provide an important genetic resource and show that dietary adaptations play an important role in phenotypic evolution in East Asian populations.
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Affiliation(s)
- Xiaoyang Qiao
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Jianxiang Shi
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Hongen Xu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Kai Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Youwei Pu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Xia Xue
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Wangshan Zheng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yongbo Guo
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Hao Ma
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Habtom K Bitsue
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Xiaoyu Xu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Shanshan Wang
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Jingru Zhao
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Xiangqian Guo
- Zhongyuan Intelligent Medical Laboratory, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Xinyue Hou
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Xinwei Wang
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Lei Peng
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Zan Qiu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Wenxue Tang
- The Research and Application Center of Precision Medicine, Departments of Otolaryngology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
| | - Jiancheng Guo
- The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Zhaohui Yang
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, China.
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22
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Cheng C, Xu F, Pan XF, Wang C, Fan J, Yang Y, Liu Y, Sun L, Liu X, Xu Y, Zhou Y, Xiao C, Gou W, Miao Z, Yuan J, Shen L, Fu Y, Sun X, Zhu Y, Chen Y, Pan A, Zhou D, Zheng JS. Genetic mapping of serum metabolome to chronic diseases among Han Chinese. CELL GENOMICS 2025; 5:100743. [PMID: 39837327 PMCID: PMC11872534 DOI: 10.1016/j.xgen.2024.100743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 10/31/2024] [Accepted: 12/24/2024] [Indexed: 01/23/2025]
Abstract
Serum metabolites are potential regulators for chronic diseases. To explore the genetic regulation of metabolites and their roles in chronic diseases, we quantified 2,759 serum metabolites and performed genome-wide association studies (GWASs) among Han Chinese individuals. We identified 184 study-wide significant (p < 1.81 × 10-11) metabolite quantitative trait loci (metaboQTLs), 88.59% (163) of which were novel. Notably, we identified Asian-ancestry-specific metaboQTLs, including the SNP rs2296651 for taurocholic acid and taurochenodesoxycholic acid. Leveraging the GWAS for 37 clinical traits from East Asians, Mendelian randomization analyses identified 906 potential causal relationships between metabolites and clinical traits, including 27 for type 2 diabetes and 38 for coronary artery disease. Integrating genetic regulation of the transcriptome and proteome revealed putative regulators of several metabolites. In summary, we depict a landscape of the genetic architecture of the serum metabolome among Han Chinese and provide insights into the role of serum metabolites in chronic diseases.
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Affiliation(s)
- Chunxiao Cheng
- The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Fengzhe Xu
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Cheng Wang
- Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510012, China
| | - Jiayao Fan
- The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Yunhaonan Yang
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yuanjiao Liu
- Department of Epidemiology & Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lingyun Sun
- The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Xiaojuan Liu
- Department of Laboratory Medicine, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yue Xu
- The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Yuan Zhou
- The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Congmei Xiao
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
| | - Wanglong Gou
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
| | - Zelei Miao
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
| | - Jiaying Yuan
- Department of Science and Education & Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610200, China
| | - Luqi Shen
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
| | - Yuanqing Fu
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
| | - Xiaohui Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Yimin Zhu
- Department of Epidemiology & Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yuming Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Dan Zhou
- The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China.
| | - Ju-Sheng Zheng
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou 310024, China; Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou 310024, China; Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
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23
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Wang LY, Yu B, Peng Y, Mou K, Zhan Y, Wang YM, Ji W, Xu C, Xiao LD, Chen Y, Wang H, She ZH, Dai P, Zhao GY, Wang Y, Yu LL, Yu M, Liu K, Cui JJ, Liu R, Li X, Huang YF, Liu ZQ, Ouyang DS, Zhang W, Li Q, Xiong XL, Guo CX, Li JG, Lv QL, Xing QH, Wang HJ, Li ZL, Wu JC, Huang LJ, He J, Tan LM, Hong WX, Wang XC, Li CP, Lu Q, Zhang L, Kong XD, Zhou HH, Yin JY. The pharmacogenomic landscape in the Chinese: An analytics of pharmacogenetic variants in 206,640 individuals. Innovation (N Y) 2025; 6:100773. [PMID: 39991480 PMCID: PMC11846038 DOI: 10.1016/j.xinn.2024.100773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 12/22/2024] [Indexed: 02/25/2025] Open
Abstract
Pharmacogenomic landscapes and related databases are important for identifying the biomarkers of drug response and toxicity. However, these data are still lacking for the Chinese population. In this study, we constructed a pharmacogenomic landscape and an associated database using whole-genome sequencing data generated by non-invasive prenatal testing in 206,640 Chinese individuals. In total, 1,577,513 variants (including 331,610 novel variants) were identified among 3,538 pharmacogenes related to 2,086 drugs. We found that the variant spectrum in the Chinese population differed among the seven major regions. Regional differences also exist among provinces in China. The average numbers of drug enzyme, transporter, and receptor variants were 258, 557, and 632, respectively. Subsequent correlation analysis indicated that the pharmacogenes affecting multiple drugs had fewer variants. Among the 16 categories of drugs, we found that nervous system, cardiovascular system, and genitourinary system/sex hormone drugs were more likely to be affected by variants of pharmacogenes. Characteristics of the variants in the enzyme, transporter, and receptor subfamilies showed specificity. To explore the clinical utility of these data, a genetic association study was conducted on 1,019 lung cancer patients. Two novel variants, AKT2 chr19:40770621 C>G and SLC19A1 chr21:46934171 A>C, were identified as novel platinum response biomarkers. Finally, a pharmacogenomic database, named the Chinese Pharmacogenomic Knowledge Base (CNPKB: http://www.cnpkb.com.cn/), was constructed to collect all the data. In summary, a pharmacogenomic landscape and database for the Chinese population were constructed in this study, which could support personalized Chinese medicine in the future.
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Affiliation(s)
- Lei-Yun Wang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
- Department of Pharmacy, Traditional Chinese and Western Medicine Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Department of Pharmacy, Wuhan No. 1 Hospital, Wuhan 430022, China
| | - Bing Yu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
- Department of Pharmacy, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Ying Peng
- National Health Commission Key Laboratory of Birth Defects Research, Prevention and Treatment, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410000, China
| | - Kai Mou
- Department of Genetic Laboratory, Zibo Maternal and Child Health Hospital, Zibo 255000, China
| | - Yan Zhan
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Yi-Min Wang
- Salus Med Co. Ltd., Shenzhen 518107, China
- Xiangnan University, Chenzhou 423000, China
| | - Wei Ji
- Fujian Agene Biotechnology Co. Ltd., Fuzhou 350100, China
| | - Chun Xu
- Genetalks Co. Ltd., Changsha 410008, China
| | - Le-Dong Xiao
- Xiangya Medical Laboratory, Central South University, Changsha 410078, China
| | - Yan Chen
- Xiangya Medical Laboratory, Central South University, Changsha 410078, China
| | - Hua Wang
- The Hunan Children’s Hospital, Changsha 410000, China
- National Health Commission Key Laboratory of Birth Defects Research, Prevention and Treatment, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410000, China
| | - Zhi-Hua She
- Department of Pharmacy, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - Peng Dai
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Gan-Ye Zhao
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Yang Wang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Lu-Lu Yu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
- Department of Pharmacy, The Second Affiliated Hospital of Dalian Medical University, Dalian 116000, China
| | - Miao Yu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Ke Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Jia-Jia Cui
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha 410078, China
- Department of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Yuan-Fei Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Zhao-Qian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Dong-Sheng Ouyang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
- Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co. Ltd., Changsha 410000, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Qing Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Xing-Liang Xiong
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Cheng-Xian Guo
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Jin-Gao Li
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang 330029, China
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang 330029, China
| | - Qiao-Li Lv
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang 330029, China
- NHC Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang 330029, China
| | - Qing-He Xing
- Children’s Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Hai-Jian Wang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Zhi-Ling Li
- Department of Pharmacy, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Ji-Chu Wu
- The Affiliated Shaoyang Hospital, Department of Geriatrics, Hengyang Medical School, University of South China, Shaoyang 422000, China
| | - Long-Jian Huang
- Youjiang Medical University for Nationalities, Baise 533000, China
| | - Jian He
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-targeting Theranostics, Guangxi Key Laboratory of Bio-targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China
| | - Li-Ming Tan
- Clinical Pharmacy Center, The Second People’s Hospital of Huaihua, Huaihua 418000, China
| | - Wen-Xu Hong
- Shenzhen Institute of Dermatology, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Xue-Chang Wang
- Department of Pharmacy, Anning First People’s Hospital Affiliated to Kunming University of Science and Technology, Anning 650302, China
| | - Chao-Peng Li
- The First Affiliated Hospital of Shihezi University, Shihezi 832000, China
| | - Qin Lu
- GeneMind Biosciences Co. Ltd., No. 116, Shenzhen 518000, China
| | - Long Zhang
- Hunan Jiarun Medical Laboratory Co. Ltd., No. 319, Linyu Road, Yuelu District, Changsha 410000, China
| | - Xiang-Dong Kong
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Hong-Hao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
| | - Ji-Ye Yin
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, China
- National Clinical Research Center for Geriatric Disorders, Changsha 410008, China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China
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Du ZK, Wang YC, Wang YH, Li XY, Zheng YZ, Wu D, Qu WM, Liao Z, Zou WB. Associations between ABO, FUT2 and chronic pancreatitis: A comprehensive meta-analysis of multiple cohorts and public biobanks. Pancreatology 2025; 25:58-64. [PMID: 39732592 DOI: 10.1016/j.pan.2024.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2024] [Revised: 12/14/2024] [Accepted: 12/21/2024] [Indexed: 12/30/2024]
Abstract
OBJECTIVES Associations of ABO blood group specifying transferases A/B (ABO) and fucosyltransferase 2 (FUT2) with CP remain inconclusive. We aimed to comprehensively investigate the associations by Chinese sequencing cohorts and external cohorts. METHODS First, we analyzed the distributions of ABO blood groups and FUT2 status, along with lead single nucleotide polymorphisms (SNPs) at ABO (rs8176693 C/T) and FUT2 (rs632111 A/G) gene loci in Chinese low-coverage whole-genome sequencing discovery cohort. Subsequently, we investigated the associations of CP with ABO and FUT2 SNPs in Chinese whole-exome sequencing validation cohort and three public biobanks (FinnGen, UK Biobank, and BioBank Japan). Finally, comprehensive meta-analysis was performed by integrating data from two Chinese cohorts, reported cohorts and public biobanks. RESULTS Firstly, in Chinese discovery cohort, the distribution of blood types in CP patients showed no significant difference compared to healthy controls, and similar results were observed in subgroup analyses and in meta-analysis with the reported cohorts. Secondly, results indicated no association between rs8176693 or rs632111 and CP in Chinese cohorts and meta-analysis of three biobanks, though ABO SNP was found to be significantly associated with CP in UK Biobank (odds ratio [OR] = 1.27, P = 0.04). Finally, no association was observed between rs8176693 (OR = 1.03, P = 0.29) or rs632111 (OR = 1.04, P = 0.10) and CP in comprehensive meta-analysis. CONCLUSIONS No association was found between lead SNPs of ABO or FUT2 and CP in meta-analysis, nor was there an association between ABO blood group or FUT2 secretor status and CP in Chinese cohort. ABO and FUT2 might play limited role in CP development.
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Affiliation(s)
- Zeng-Kan Du
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Yuan-Chen Wang
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Ya-Hui Wang
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Xiao-Yu Li
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China
| | - Yi-Zhou Zheng
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Di Wu
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Wei-Ming Qu
- Gastroenterology Ward, Medical Center of Digestive Disease, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, 412000, China
| | - Zhuan Liao
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
| | - Wen-Bin Zou
- Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
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25
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He G, Liu C, Wang M. Perspectives and opportunities in forensic human, animal, and plant integrative genomics in the Pangenome era. Forensic Sci Int 2025; 367:112370. [PMID: 39813779 DOI: 10.1016/j.forsciint.2025.112370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Revised: 12/24/2024] [Accepted: 01/08/2025] [Indexed: 01/18/2025]
Abstract
The Human Pangenome Reference Consortium, the Chinese Pangenome Consortium, and other plant and animal pangenome projects have announced the completion of pilot work aimed at constructing high-quality, haplotype-resolved reference graph genomes representative of global ethno-linguistically different populations or different plant and animal species. These graph-based, gapless pangenome references, which are enriched in terms of genomic diversity, completeness, and contiguity, have the potential for enhancing long-read sequencing (LRS)-based genomic research, as well as improving mappability and variant genotyping on traditional short-read sequencing platforms. We comprehensively discuss the advancements in pangenome-based genomic integrative genomic discoveries across forensic-related species (humans, animals, and plants) and summarize their applications in variant identification and forensic genomics, epigenetics, transcriptomics, and microbiome research. Recent developments in multiplexed array sequencing have introduced a highly efficient and programmable technique to overcome the limitations of short forensic marker lengths in LRS platforms. This technique enables the concatenation of short RNA transcripts and DNA fragments into LRS-optimal molecules for sequencing, assembly, and genotyping. The integration of new pangenome reference coordinates and corresponding computational algorithms will benefit forensic integrative genomics by facilitating new marker identification, accurate genotyping, high-resolution panel development, and the updating of statistical algorithms. This review highlights the necessity of integrating LRS-based platforms, pangenome-based study designs, and graph-based pangenome references in short-read mapping and LRS-based innovations to achieve precision forensic science.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China; Center for Archaeological Science, Sichuan University, Chengdu 610000, China.
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou 510230, China.
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China; Center for Archaeological Science, Sichuan University, Chengdu 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China.
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26
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Wang S, Ou R, Huang J, Lin J, Che N, Yang T, Xiao Y, Jiang Q, Zheng X, Liu J, Li C, Shang H. RAB32 Variants in a Chinese Parkinson's Disease Cohort. Mov Disord 2025; 40:376-377. [PMID: 39569824 DOI: 10.1002/mds.30065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 11/01/2024] [Indexed: 11/22/2024] Open
Affiliation(s)
- Shichan Wang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Ruwei Ou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Jingxuan Huang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Ningning Che
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Tianmi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoting Zheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Jiyong Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
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Wang M, Duan S, Sun Q, Liu K, Liu Y, Wang Z, Li X, Wei L, Liu Y, Nie S, Zhou K, Ma Y, Yuan H, Liu B, Hu L, Liu C, He G. YHSeqY3000 panel captures all founding lineages in the Chinese paternal genomic diversity database. BMC Biol 2025; 23:18. [PMID: 39838386 PMCID: PMC11752814 DOI: 10.1186/s12915-025-02122-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 01/07/2025] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND The advancements in second-/third-generation sequencing technologies, alongside computational innovations, have significantly enhanced our understanding of the genomic structure of Y-chromosomes and their unique phylogenetic characteristics. These researches, despite the challenges posed by the lack of population-scale genomic databases, have the potential to revolutionize our approach to high-resolution, population-specific Y-chromosome panels and databases for anthropological and forensic applications. OBJECTIVES This study aimed to develop the highest-resolution Y-targeted sequencing panel, utilizing time-stamped, core phylogenetic informative mutations identified from high-coverage sequences in the YanHuang cohort. This panel is intended to provide a new tool for forensic complex pedigree search and paternal biogeographical ancestry inference, as well as explore the general patterns of the fine-scale paternal evolutionary history of ethnolinguistically diverse Chinese populations. RESULTS The sequencing performance of the East Asian-specific Y-chromosomal panel, including 2999-core SNP variants, was found to be robust and reliable. The YHSeqY3000 panel was designed to capture the genetic diversity of Chinese paternal lineages from 3500 years ago, identifying 408 terminal lineages in 2097 individuals across 41 genetically and geographically distinct populations. We identified a fine-scale paternal substructure that was correlating with ancient population migrations and expansions. New evidence was provided for extensive gene flow events between minority ethnic groups and Han Chinese people, based on the integrative Chinese Paternal Genomic Diversity Database. CONCLUSIONS This work successfully integrated Y-chromosome-related basic genomic science with forensic and anthropological translational applications, emphasizing the necessity of comprehensively characterizing Y-chromosome genomic diversity from genomically under-representative populations. This is particularly important in the second phase of our population-specific medical or anthropological genomic cohorts, where dense sampling strategies are employed.
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Affiliation(s)
- Mengge Wang
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Department of Oto-Rhino-Laryngology, West China Hospital of Sichuan University, Chengdu, 610000, China.
| | - Shuhan Duan
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
- Department of Oto-Rhino-Laryngology, West China Hospital of Sichuan University, Chengdu, 610000, China
| | - Qiuxia Sun
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Kaijun Liu
- School of International Tourism and Culture, Guizhou Normal University, Guiyang, 550025, China
- MoFang Human Genome Research Institute, Tianfu Software Park, Chengdu, 610042, Sichuan, China
| | - Yan Liu
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Zhiyong Wang
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Xiangping Li
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Lanhai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, 010028, Inner Mongolia, China
| | - Yunhui Liu
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Kun Zhou
- MoFang Human Genome Research Institute, Tianfu Software Park, Chengdu, 610042, Sichuan, China
| | - Yongxin Ma
- Department of Medical Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Huijun Yuan
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
| | - Bing Liu
- Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Lan Hu
- Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Guanglin He
- Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
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28
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Zhao W, Tao Y, Xiong J, Liu L, Wang Z, Shao C, Shang L, Hu Y, Xu Y, Su Y, Yu J, Feng T, Xie J, Xu H, Zhang Z, Peng J, Wu J, Zhang Y, Zhu S, Xia K, Tang B, Zhao G, Li J, Li B. GoFCards: an integrated database and analytic platform for gain of function variants in humans. Nucleic Acids Res 2025; 53:D976-D988. [PMID: 39578693 PMCID: PMC11701611 DOI: 10.1093/nar/gkae1079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 10/20/2024] [Accepted: 10/28/2024] [Indexed: 11/24/2024] Open
Abstract
Gain-of-function (GOF) variants, which introduce new or amplify protein functions, are essential for understanding disease mechanisms. Despite advances in genomics and functional research, identifying and analyzing pathogenic GOF variants remains challenging owing to fragmented data and database limitations, underscoring the difficulty in accessing critical genetic information. To address this challenge, we manually reviewed the literature, pinpointing 3089 single-nucleotide variants and 72 insertions and deletions in 579 genes associated with 1299 diseases from 2069 studies, and integrated these with the 3.5 million predicted GOF variants. Our approach is complemented by a proprietary scoring system that prioritizes GOF variants on the basis of the evidence supporting their GOF effects and provides predictive scores for variants that lack existing documentation. We then developed a database named GoFCards for general geneticists and clinicians to easily obtain GOF variants in humans (http://www.genemed.tech/gofcards). This database also contains data from >150 sources and offers comprehensive variant-level and gene-level annotations, with the aim of providing users with convenient access to detailed and relevant genetic information. Furthermore, GoFCards empowers users with limited bioinformatic skills to analyze and annotate genetic data, and prioritize GOF variants. GoFCards offers an efficient platform for interpreting GOF variants and thereby advancing genetic research.
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Affiliation(s)
- Wenjing Zhao
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
- Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, The First People's Hospital of Yunnan Province, No. 157 Jinbi Road, Xishan District, Kunming, Yunnan 650000, China
- School of Medicinie, Kunming University of Science and Technology, No. 727 Jingming South Road, Chenggong District, Kunming, Yunnan 650000, China
| | - Youfu Tao
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Jiayi Xiong
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
| | - Lei Liu
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Zhongqing Wang
- School of Medicinie, Kunming University of Science and Technology, No. 727 Jingming South Road, Chenggong District, Kunming, Yunnan 650000, China
| | - Chuhan Shao
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Ling Shang
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Yue Hu
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Yishu Xu
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Yingluo Su
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Jiahui Yu
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Tianyi Feng
- Xiangya School of Medicine, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Junyi Xie
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Huijuan Xu
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Zijun Zhang
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Jiayi Peng
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Jianbin Wu
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Yuchang Zhang
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Shaobo Zhu
- School of Life Science, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha, Hunan 410008, China
| | - Kun Xia
- MOE Key Laboratory of Pediatric Rare Diseases & Hunan Key Laboratory of Medical Genetics, Central South University, No. 110 Xiangya Road, Furong District, Changsha, Hunan 410008, China
| | - Beisha Tang
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
- Department of Neurology & Multi-omics Research Center for Brain Disorders, The First Affiliated Hospital University of South China, 69 Chuan Shan Road, Shi Gu District, Hengyang, Hunan 421000, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Furong District, Changsha,Hunan 410008, China
| | - Guihu Zhao
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
| | - Jinchen Li
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Furong District, Changsha,Hunan 410008, China
- Bioinformatics Center, Furong Laboratory & Xiangya Hospital, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
| | - Bin Li
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, No. 87 Xiangya Road, Furong District, Changsha, Hunan 410008, China
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Wang Z, Song M, Lyu Q, Ying J, Wu Q, Song F, Wang X, Jiang L, Zhou Y, Sun C, Wang S, Yao H, Zhang Z, Song X, Luo H. Development and evaluation of a panel of newly screened Y chromosome InDels for inferring paternal ancestry information in Southwest China. Int J Legal Med 2025; 139:27-39. [PMID: 39377930 DOI: 10.1007/s00414-024-03344-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Accepted: 09/28/2024] [Indexed: 10/09/2024]
Abstract
Y-InDels (insertions/deletions) are genetic markers which are extremely understudied. It is unknown whether this type of markers can be utilized for genetic ancestry inference. We have developed an innovative Y chromosome ancestry inference system tailored for forensic applications. This panel amplifies 21 Y chromosome loci, encompassing Y-InDels and Y-SNPs (Single Nucleotide Polymorphism), utilizing the capillary electrophoresis (CE) platform. The system performed well at DNA concentrations greater than 0.125 ng/ul and produced accurate results at a 1:100 mixing ratio of male and female DNA. The Cumulative probability of matching (CPM) was between 0.95 and 0.97 in the experimental population. The system's efficacy in inferring ancestral origins was demonstrated through intercontinental population discrimination, revealing high discrimination power between African and East Asian populations. Population genetic analyses conducted on Han, Qiang and Hui populations in Southwest China, where the smallest FST value was 0.0002 between Han Chinese in Beijing (from 1000 Genomes Project) and Qiang Chinese from Sichuan (CQSC). Phylogenetic tree construction further illuminated distinct haplotypes among populations, with ethnically unique haplotypes observed in 34.6% of Hui and 7.1% of Qiang populations. K-fold cross-validation show the system's inference abilities at the intercontinental level. In addition, our investigations identified potential associations between the Y-InDel locus Y: 15,385,547 (GRCh37) and haplogroup R1a1a1b2a2- Z2124, as well as locus Y: 13,990,180 (GRCh37) and haplogroup F-M89. In conclusion, we have established a Y-chromosome inference system tailored for grassroots-level application, underscoring the value of incorporating Y-InDel markers in forensic analyses.
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Affiliation(s)
- Zefei Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Mengyuan Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan, 610041, China
| | - Qiang Lyu
- Department of Clinical Laboratory, People's Hospital of Beichuan Qiang Autonomous County, Beichuan, Sichuan, 622750, China
| | - Jun Ying
- Department of Clinical Laboratory, Santai People's Hospital, Santai, Sichuan, 621100, China
| | - Qian Wu
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Feng Song
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - XinDi Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Lanrui Jiang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Yuxiang Zhou
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Chaoran Sun
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Shuangshuang Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Hewen Yao
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Zhirui Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China
| | - Xingbo Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, Sichuan, 610041, China.
| | - Haibo Luo
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, 3-16 Renmin South Road, Chengdu, Sichuan, 610041, China.
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Yang MY, Zhong JD, Li X, Tian G, Bai WY, Fang YH, Qiu MC, Yuan CD, Yu CF, Li N, Yang JJ, Liu YH, Yu SH, Zhao WW, Liu JQ, Sun Y, Cong PK, Khederzadeh S, Zhao PP, Qian Y, Guan PL, Gu JX, Gai SR, Yi XJ, Tao JG, Chen X, Miao MM, Lei LX, Xu L, Xie SY, Li JC, Guo JF, Karasik D, Yang L, Tang BS, Huang F, Zheng HF. SEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations. Nat Commun 2024; 15:10839. [PMID: 39738056 PMCID: PMC11686012 DOI: 10.1038/s41467-024-55147-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/02/2024] [Indexed: 01/01/2025] Open
Abstract
Limited whole genome sequencing (WGS) studies in Asian populations result in a lack of representative reference panels, thus hindering the discovery of ancestry-specific variants. Here, we present the South and East Asian reference Database (SEAD) panel ( https://imputationserver.westlake.edu.cn/ ), which integrates WGS data for 11,067 individuals from various sources across 17 Asian countries. The SEAD panel, comprising 22,134 haplotypes and 88,294,957 variants, demonstrates improved imputation accuracy for South Asian populations compared to 1000 Genomes Project, TOPMed, and ChinaMAP panels, with a higher proportion of well-imputed rare variants. For East Asian populations, SEAD shows concordance comparable to ChinaMAP, but outperforming TOPMed. Additionally, we apply the SEAD panel to conduct a genome-wide association study for total hip (Hip) and femoral neck (FN) bone mineral density (BMD) traits in 5369 genotyped Chinese samples. The single-variant test suggests that rare variants near SNTG1 are associated with Hip BMD (rs60103302, MAF = 0.0092, P = 1.67 × 10-7), and variant-set analysis further supports the association (Pslide_window = 9.08 × 10-9, Pgene_centric = 5.27 × 10-8). This association was not reported previously and can only be detected by using Asian reference panels. Preliminary in vitro experiments for one of the rare variants identified provide evidence that it upregulates SNTG1 expression, which could in turn inhibit the proliferation and differentiation of preosteoblasts.
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Affiliation(s)
- Meng-Yuan Yang
- School of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Jia-Dong Zhong
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Xin Li
- School of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Geng Tian
- WBBC Shandong Center, Binzhou Medical University, Yantai, Shandong, China
| | - Wei-Yang Bai
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Yi-Hu Fang
- WBBC Jiangxi Center, Jiangxi Medical College, Shangrao, Jiangxi, China
| | - Mo-Chang Qiu
- WBBC Jiangxi Center, Jiangxi Medical College, Shangrao, Jiangxi, China
| | - Cheng-Da Yuan
- Department of Dermatology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang, China
| | - Chun-Fu Yu
- Department of Orthopedic Surgery, Shangrao Municipal Hospital, Shangrao, Jiangxi, China
| | - Nan Li
- The High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China
| | - Ji-Jian Yang
- The High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China
| | - Yu-Heng Liu
- The High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China
| | - Shi-Hui Yu
- Clinical Genome Center, KingMed Diagnostics, Co., Ltd, Guangzhou, Guangdong, China
| | - Wei-Wei Zhao
- Clinical Genome Center, KingMed Diagnostics, Co., Ltd, Guangzhou, Guangdong, China
| | - Jun-Quan Liu
- Clinical Genome Center, KingMed Diagnostics, Co., Ltd, Guangzhou, Guangdong, China
| | - Yi Sun
- Clinical Genome Center, KingMed Diagnostics, Co., Ltd, Guangzhou, Guangdong, China
| | - Pei-Kuan Cong
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Saber Khederzadeh
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Pian-Pian Zhao
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Yu Qian
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Peng-Lin Guan
- School of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Jia-Xuan Gu
- School of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Si-Rui Gai
- School of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Xiang-Jiao Yi
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Jian-Guo Tao
- School of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Xiang Chen
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Mao-Mao Miao
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Lan-Xin Lei
- Medical Biosciences, Imperial College London, London, United Kingdom
| | - Lin Xu
- WBBC Shandong Center, Binzhou Medical University, Yantai, Shandong, China
| | - Shu-Yang Xie
- WBBC Shandong Center, Binzhou Medical University, Yantai, Shandong, China
| | - Jin-Chen Li
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center for Medical Genetics & Hunan Key Laboratory, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Ji-Feng Guo
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center for Medical Genetics & Hunan Key Laboratory, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - David Karasik
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Liu Yang
- Institute of Orthopedic Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Bei-Sha Tang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center for Medical Genetics & Hunan Key Laboratory, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Fei Huang
- WBBC Shandong Center, Binzhou Medical University, Yantai, Shandong, China
| | - Hou-Feng Zheng
- Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
- Diseases & Population (DaP) Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
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31
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Wang M, Liu Y, Luo L, Feng Y, Wang Z, Yang T, Yuan H, Liu C, He G. Genomic insights into Neolithic founding paternal lineages around the Qinghai-Xizang Plateau using integrated YanHuang resource. iScience 2024; 27:111456. [PMID: 39759003 PMCID: PMC11696643 DOI: 10.1016/j.isci.2024.111456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Revised: 10/16/2024] [Accepted: 11/19/2024] [Indexed: 01/07/2025] Open
Abstract
Indigenous populations of the Qinghai-Xizang Plateau exhibit unique high-altitude adaptations, especially within Tibeto-Burman (TB) groups. However, the paternal genetic heritage of eastern Plateau regions remains less explored. We present one integrative Y chromosome dataset of 9,901 modern and ancient individuals, including whole Y chromosome sequences from 1,297 individuals and extensive Y-SNP/STR genotype data. We reveal the Paleolithic common origin and following divergence of Qinghai-Xizang Plateau ancestors from East Asian lowlands, marked by subsequent isolation and Holocene expansion involving local hunter-gatherers and millet-farming communities. We identified two key TB-related founding lineages, D-Z31591 and O-CTS4658, which underwent significant expansions around 5,000 years ago on the Qinghai-Xizang Plateau and its eastern Tibetan-Yi Corridor. The genetic legacy of these TB lineages highlights crucial migration pathways linking the Plateau and lowland southwestern China. Our findings align paternal genetic structures with East Asian geography and linguistic groups, underscoring the utility of Y chromosome analyses in unraveling complex paternal histories.
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Affiliation(s)
- Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
- Anti-Drug Technology Center of Guangdong Province, Guangzhou 510230, China
| | - Yunhui Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Lintao Luo
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Yuhang Feng
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Ting Yang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
| | - Huijun Yuan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou 510230, China
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
- Anti-Drug Technology Center of Guangdong Province, Guangzhou 510230, China
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Ishigohoka J, Bascón-Cardozo K, Bours A, Fuß J, Rhie A, Mountcastle J, Haase B, Chow W, Collins J, Howe K, Uliano-Silva M, Fedrigo O, Jarvis ED, Pérez-Tris J, Illera JC, Liedvogel M. Distinct patterns of genetic variation at low-recombining genomic regions represent haplotype structure. Evolution 2024; 78:1916-1935. [PMID: 39208288 DOI: 10.1093/evolut/qpae117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/26/2024] [Accepted: 09/24/2024] [Indexed: 09/04/2024]
Abstract
Genomic regions sometimes show patterns of genetic variation distinct from the genome-wide population structure. Such deviations have often been interpreted to represent effects of selection. However, systematic investigation of whether and how non-selective factors, such as recombination rates, can affect distinct patterns has been limited. Here, we associate distinct patterns of genetic variation with reduced recombination rates in a songbird, the Eurasian blackcap (Sylvia atricapilla), using a new reference genome assembly, whole-genome resequencing data and recombination maps. We find that distinct patterns of genetic variation reflect haplotype structure at genomic regions with different prevalence of reduced recombination rate across populations. At low-recombining regions shared in most populations, distinct patterns reflect conspicuous haplotypes segregating in multiple populations. At low-recombining regions found only in a few populations, distinct patterns represent variance among cryptic haplotypes within the low-recombining populations. With simulations, we confirm that these distinct patterns evolve neutrally by reduced recombination rate, on which the effects of selection can be overlaid. Our results highlight that distinct patterns of genetic variation can emerge through evolutionary reduction of local recombination rate. The recombination landscape as an evolvable trait therefore plays an important role determining the heterogeneous distribution of genetic variation along the genome.
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Affiliation(s)
- Jun Ishigohoka
- Max Planck Institute for Evolutionary Biology, Plön, Germany
| | | | - Andrea Bours
- Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - Janina Fuß
- Institute of Clinical Molecular Biology (IKMB), Kiel University, Kiel, Germany
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jacquelyn Mountcastle
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bettina Haase
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA
| | | | | | | | | | - Olivier Fedrigo
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA
| | - Erich D Jarvis
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA
- The Howards Hughes Medical Institute, Chevy Chase, MD, USA
| | - Javier Pérez-Tris
- Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain
| | - Juan Carlos Illera
- Biodiversity Research Institute (CSIC-Oviedo University-Principality of Asturias), Oviedo University, Mieres, Spain
| | - Miriam Liedvogel
- Max Planck Institute for Evolutionary Biology, Plön, Germany
- Institute of Avian Research, Wilhelmshaven, Germany
- Department of Biology and Environmental Sciences, Carl von Ossietzky Universität Oldenburg, Germany
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An M, Chen C, Xiang J, Li Y, Qiu P, Tang Y, Liu X, Gu Y, Qin N, He Y, Zhu M, Jiang Y, Dai J, Jin G, Ma H, Wang C, Hu Z, Shen H. Systematic identification of pathogenic variants of non-small cell lung cancer in the promoters of DNA-damage repair genes. EBioMedicine 2024; 110:105480. [PMID: 39631147 DOI: 10.1016/j.ebiom.2024.105480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 11/11/2024] [Accepted: 11/14/2024] [Indexed: 12/07/2024] Open
Abstract
BACKGROUND Deficiency in DNA-damage repair (DDR) genes, often due to disruptive coding variants, is linked to higher cancer risk. Our previous study has revealed the association between rare loss-of-function variants in DDR genes and the risk of lung cancer. However, it is still challenging to study the predisposing role of rare regulatory variants of these genes. METHODS Based on whole-genome sequencing data from 2984 patients with non-small cell lung cancer (NSCLC) and 3020 controls, we performed massively parallel reporter assays on 1818 rare variants located in the promoters of DDR genes. Pathway- or gene-level burden analyses were performed using Firth's logistic regression or generalized linear model. FINDINGS We identified 750 rare functional regulatory variants (frVars) that showed allelic differences in transcriptional activity within the promoter regions of DDR genes. Interestingly, the burden of frVars was significantly elevated in cases (odds ratio [OR] = 1.17, p = 0.026), whereas the burden of variants prioritized solely based on bioinformatics annotation was comparable between cases and controls (OR = 1.04, p = 0.549). Among the frVars, 297 were down-regulated transcriptional activity (dr-frVars) and 453 were up-regulated transcriptional activity (ur-frVars); especially, dr-frVars (OR = 1.30, p = 0.008) rather than ur-frVars (OR = 1.06, p = 0.495) were significantly associated with risk of NSCLC. Individuals with NSCLC carried more dr-frVars from Fanconi anemia, homologous recombination, and nucleotide excision repair pathways. In addition, we identified seven genes (i.e., BRCA2, GTF2H1, DDB2, BLM, ALKBH2, APEX1, and RAD51B) with promoter dr-frVars that were associated with lung cancer susceptibility. INTERPRETATION Our findings indicate that functional promoter variants in DDR genes, in addition to protein-truncating variants, can be pathogenic and contribute to lung cancer susceptibility. FUNDING National Natural Science Foundation of China, Youth Foundation of Jiangsu Province, Research Unit of Prospective Cohort of Cardiovascular Diseases and Cancer of Chinese Academy of Medical Sciences, and Natural Science Foundation of Jiangsu Province.
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Affiliation(s)
- Mingxing An
- Department of Epidemiology, School of Public Health, Southeast University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Congcong Chen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; The Second People's Hospital of Changzhou, The Third Affiliated Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou 213003, China
| | - Jun Xiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yang Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Pinyu Qiu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yiru Tang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xinyue Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yayun Gu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yuanlin He
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China; The Second People's Hospital of Changzhou, The Third Affiliated Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou 213003, China.
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Southeast University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing 100730, China.
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Hsu JS, Wu DC, Shih SH, Liu JF, Tsai YC, Lee TL, Chen WA, Tseng YH, Lo YC, Lin HY, Chen YC, Chen JY, Chou TH, Chang DTH, Su MW, Guo WH, Mao HH, Chen CY, Chen PL. Complete genomic profiles of 1496 Taiwanese reveal curated medical insights. J Adv Res 2024; 66:197-207. [PMID: 38159844 PMCID: PMC11675050 DOI: 10.1016/j.jare.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/03/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2024] Open
Abstract
INTRODUCTION The population of Taiwan has a long history of ethno-cultural evolution. The Taiwanese population was isolated from other large populations such as the European, Han Chinese, and Japanese population. The Taiwan Biobank (TWB) project has built a nationwide database, particularly for personal whole-genome sequence (WGS) to facilitate basic and clinical collaboration nationally and internationally, making it one of the most valuable public datasets of the East Asian population. OBJECTIVES This study provides comprehensive medical genomic findings from TWB WGS data, for better characterization of disease susceptibility and the choice of ideal treatment regimens in Taiwanese population. METHODS We reanalyzed 1496 WGS using a PrecisionFDA Truth challenge winner method Sentieon DNAscope. Single nucleotide variants (SNV) and small insertions/deletions (INDEL) were benchmarked. We also analyzed pharmacogenomic (PGx) drug-associated alleles, and copy number variants (CNV). Multiple practicing clinicians reviewed and curated the clinically significant variants. Variant annotations can be browsed at TaiwanGenomes (https://genomes.tw). RESULTS We found that each participant had an average of 6,870.7 globally novel variants and 75.3% (831/1103) of the participants harbored at least one PharmGKB-selected high evidence level human leukocyte antigen (HLA) risk allele. 54 PharmGKB-reported high-level instances of evidence of Cytochrome P450 variant-drug pairs, with a population frequency of over 13.2%. We also identified 23 variants in the ACMG secondary finding V3 gene list from 25 participants, suggesting that 1.67% (25/1496) of the population is harboring at least one medical actionable variant. Our carrier status analyses suggest that one in 25 couples (3.94%) would risk having offspring with at least one pathogenic variant, which is in line with rates found in Japan and Singapore. For pathogenic CNV, we detected 6.88% and 2.02% carrier rates for alpha thalassemia and spinal muscular atrophy, respectively. CONCLUSION Our study highlights the overall medical insights of a complete Taiwanese genomic profile.
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Affiliation(s)
- Jacob Shujui Hsu
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei 100025, Taiwan; Institute of Molecular Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan
| | - Dung-Chi Wu
- Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei 10617, Taiwan
| | - Shang-Hung Shih
- Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei 10617, Taiwan
| | - Jen-Feng Liu
- Institute of Molecular Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan
| | - Ya-Chen Tsai
- Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Tung-Lin Lee
- Department of Medical Genetics, National Taiwan University Hospital, Taipei 100226, Taiwan
| | - Wei-An Chen
- Department of Medical Genetics, National Taiwan University Hospital, Taipei 100226, Taiwan
| | - Yi-Hsuan Tseng
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei 100025, Taiwan
| | - Yi-Chung Lo
- Department of Electrical Engineering, National Cheng-Kung University, Tainan 701401, Taiwan
| | - Hong-Ye Lin
- Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Yi-Chieh Chen
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei 100025, Taiwan
| | - Jing-Yi Chen
- Department of Electrical Engineering, National Cheng-Kung University, Tainan 701401, Taiwan
| | - Ting-Hsuan Chou
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei 100025, Taiwan
| | - Darby Tien-Hao Chang
- Department of Electrical Engineering, National Cheng-Kung University, Tainan 701401, Taiwan; Digital Technology Division, SinoPac Holdings, Taiwan
| | - Ming Wei Su
- Institute of Biomedical Sciences, Academia Sinica, Taipei 115201, Taiwan
| | - Wei-Hong Guo
- Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Hsin-Hsiang Mao
- Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Chien-Yu Chen
- Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei 10617, Taiwan; Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan.
| | - Pei-Lung Chen
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei 100025, Taiwan; Institute of Molecular Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan; Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei 10617, Taiwan; Department of Medical Genetics, National Taiwan University Hospital, Taipei 100226, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan.
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Li W, Zhang Z, Xie B, He Y, He K, Qiu H, Lu Z, Jiang C, Pan X, He Y, Hu W, Liu W, Que T, Hu Y. HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data. Comput Struct Biotechnol J 2024; 23:659-668. [PMID: 38292471 PMCID: PMC10824657 DOI: 10.1016/j.csbj.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 02/01/2024] Open
Abstract
Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.
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Affiliation(s)
- Wen Li
- Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, China
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Key Laboratory of Biological Molecular Medicine Research (Guangxi Medical University), Education Department of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Zhining Zhang
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Bo Xie
- Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, China
| | - Yunlin He
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Kangming He
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Hong Qiu
- Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Zhiwei Lu
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Chunlan Jiang
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Xuanyu Pan
- School of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Yuxiao He
- Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, China
| | - Wenyu Hu
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
| | - Wenjian Liu
- Faculty of Data Science, City University of Macau, Macau, China
| | - Tengcheng Que
- Faculty of Data Science, City University of Macau, Macau, China
- Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Guangxi Zhuang Autonomous Terrestrial Wildlife Rescue Research and Epidemic Diseases Monitoring Center, Nanning, Guangxi, China
| | - Yanling Hu
- Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, China
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Key Laboratory of Biological Molecular Medicine Research (Guangxi Medical University), Education Department of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
- Guangxi Henbio Biotechnology Co., Ltd., Nanning, Guangxi, China
- Faculty of Data Science, City University of Macau, Macau, China
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Vatsyayan A, Imran M, Bhardwaj J, Vr A, Agrawal SJ, Saikia BJ, Senthivel V, Pandhare K, Bhoyar RC, Divakar MK, Mishra A, Jolly B, Trehan S, Sivasubbu S, Scaria V. Understanding the variant landscape, and genetic epidemiology of Multiple Endocrine Neoplasia in India. Endocrine 2024; 86:1178-1187. [PMID: 39112918 DOI: 10.1007/s12020-024-03982-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 07/24/2024] [Indexed: 11/12/2024]
Abstract
PURPOSE Multiple Endocrine Neoplasia (MEN) is a group of familial cancer syndromes that encompasses several types of endocrine tumors differentiated by genetic mutations in RET, MEN1 and CDKN1B genes. Accurate diagnosis of MEN subtypes can thus be performed through genetic testing. However, MEN variants remain largely understudied in Indian populations. Additionally, few dedicated resources to understand these disorders currently exist. METHODS Using the gold-standard ACMG/AMP guidelines, we systematically classified variants reported across the three genes in the IndiGen dataset, and established the genetic epidemiology of MEN in the Indian population. We further classified ClinVar and Mastermind variants and compiled all into a database. Finally, we designed a multiplex primer panel for rapid variant identification. RESULTS We have established the genetic prevalence of MEN as the following: 1 in 1026 individuals is likely to be afflicted with MEN linked with pathogenic RET mutations. We have further created the MAPVar database containing 3280 ACMG-classified variants freely accessible at: https://clingen.igib.res.in/MAPVar/ . Finally, our NGS primer panel covers 33 exonic regions across two pools through 38 amplicons with a total amplified region of 65 kb. CONCLUSION Our work establishes that MEN is a prevalent disorder in India. The rare nature of Indian variants underscores the need of genomic and functional studies to establish a more comprehensive variant landscape. Additionally, our panel offers a means of cost-effective genetic testing, and the MAPVar database a ready reference to aid in a better understanding of variant pathogenicity in clinical as well as research settings.
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Affiliation(s)
- Aastha Vatsyayan
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Mohamed Imran
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Juhi Bhardwaj
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Arvinden Vr
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Srashti Jyoti Agrawal
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Bhaskar Jyoti Saikia
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Vigneshwar Senthivel
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Kavita Pandhare
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Rahul C Bhoyar
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
| | - Mohit Kumar Divakar
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Anushree Mishra
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
| | - Bani Jolly
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Suruchi Trehan
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sridhar Sivasubbu
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Vishwanath Cancer Care Foundation, B 702, Neelkanth Business Park Kirol Village, Mumbai, 400086, India
| | - Vinod Scaria
- CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) Mathura Road, Delhi, 110025, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
- Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, India.
- Vishwanath Cancer Care Foundation, B 702, Neelkanth Business Park Kirol Village, Mumbai, 400086, India.
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Du H, Zhou L, Liu Z, Zhuo Y, Zhang M, Huang Q, Lu S, Xing K, Jiang L, Liu JF. The 1000 Chinese Indigenous Pig Genomes Project provides insights into the genomic architecture of pigs. Nat Commun 2024; 15:10137. [PMID: 39578420 PMCID: PMC11584710 DOI: 10.1038/s41467-024-54471-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 11/11/2024] [Indexed: 11/24/2024] Open
Abstract
Pigs play a central role in human livelihoods in China, but a lack of systematic large-scale whole-genome sequencing of Chinese domestic pigs has hindered genetic studies. Here, we present the 1000 Chinese Indigenous Pig Genomes Project sequencing dataset, comprising 1011 indigenous individuals from 50 pig populations covering approximately two-thirds of China's administrative divisions. Based on the deep sequencing (~25.95×) of these pigs, we identify 63.62 million genomic variants, and provide a population-specific reference panel to improve the imputation performance of Chinese domestic pig populations. Using a combination of methods, we detect an ancient admixture event related to a human immigration climax in the 13th century, which may have contributed to the formation of southeast-central Chinese pig populations. Analyzing the haplotypes of the Y chromosome shows that the indigenous populations residing around the Taihu Lake Basin exhibit a unique haplotype. Furthermore, we find a 13 kb region in the THSD7A gene that may relate to high-altitude adaptation, and a 0.47 Mb region on chromosome 7 that is significantly associated with body size traits. These results highlight the value of our genomic resource in facilitating genomic architecture and complex traits studies in pigs.
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Affiliation(s)
- Heng Du
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lei Zhou
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhen Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yue Zhuo
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Meilin Zhang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Qianqian Huang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shiyu Lu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Kai Xing
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Li Jiang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jian-Feng Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Geng Z, Zheng Y, Li Q, Pan D, Lu X, Chen F, Zhang Y, Li K, Zhou K, Shi L, Wang Y. PPARA variant rs1800234 had a dose dependent pharmacogenetics impact on the therapeutic response to chiglitazar. Pharmacogenomics 2024; 25:605-610. [PMID: 39555806 DOI: 10.1080/14622416.2024.2430163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Accepted: 11/13/2024] [Indexed: 11/19/2024] Open
Abstract
BACKGROUND Our objective was to explore the pharmacogenetic impact of three known functional variants in drug target genes and determine whether they can explain the inter-individual variation in therapeutic response. METHODS In a post hoc analysis of data from randomized controlled clinical trials of chiglitazar, we genotyped 481 Chinese patients with T2DM and investigated the association of variants in PPAR genes with the therapeutic outcome separated by dose using linear regression. RESULTS rs1800234, a gain-of-function variant of PPARA, had a dose-dependent pharmacogenetic impact on the therapeutic response to chiglitazar. The C allele was significantly associated with reduced therapeutic response in the 48 mg group, while no significant association was observed in the 32 mg group. In addition, in patients without the C allele, patients treated with 48 mg chiglitazar had a better therapeutic response than those treated with 32 mg chiglitazar. To the contrary, in patients with the C allele, patients treated with 48 mg chiglitazar had a worse therapeutic response than those treated with 32 mg of chiglitazar. CONCLUSION The PPARA variant rs1800234 had a dose-dependent pharmacogenetic impact on the therapeutic response to chiglitazar. It could help explain the absence of a dose effect of chiglitazar and serve as a potential biomarker for the chosen dose of chiglitazar in the future. In addition, our study provided important reference for the design and clinical application of multi-target drugs.
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Affiliation(s)
- Zhaoxu Geng
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qian Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Desi Pan
- Shenzhen Chipscreen Biosciences Co. Ltd, Shenzhen, Guangdong, China
| | - Xianping Lu
- Shenzhen Chipscreen Biosciences Co. Ltd, Shenzhen, Guangdong, China
| | - Fei Chen
- China-Japan Friendship Hospital, Beijing, China
| | - Ying Zhang
- School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Keying Li
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Kaixin Zhou
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - You Wang
- Center for Translational Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
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Tang S, Guo T, Song C, Wang L, Zhang J, Rajkovic A, Lin X, Chen S, Liu Y, Tian W, Wu B, Wang S, Wang W, Lai Y, Wang A, Xu S, Jin L, Ke H, Zhao S, Li Y, Qin Y, Zhang F, Chen ZJ. MGA loss-of-function variants cause premature ovarian insufficiency. J Clin Invest 2024; 134:e183758. [PMID: 39545409 PMCID: PMC11563689 DOI: 10.1172/jci183758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 09/20/2024] [Indexed: 11/17/2024] Open
Abstract
Although premature ovarian insufficiency (POI), a common cause of female infertility and subfertility, has a well-established hereditary component, the genetic factors currently implicated in POI account for only a limited proportion of cases. Here, using an exome-wide, gene-based case-control analysis in a discovery cohort comprising 1,027 POI cases and 2,733 ethnically matched women controls from China, we found that heterozygous loss-of-function (LoF) variants of MAX dimerization protein (MGA) were significantly enriched in the discovery cohort, accounting for 2.6% of POI cases, while no MGA LoF variants were found in the matched control females. Further exome screening was conducted in 4 additional POI cohorts (2 from China and 2 from the United States) for replication studies, and we identified heterozygous MGA LoF variants in 1.0%, 1.4%, 1.0%, and 1.0% of POI cases, respectively. Overall, a total of 37 distinct heterozygous MGA LoF variants were discovered in 38 POI cases, accounting for approximately 2.0% of the total 1,910 POI cases analyzed in this study. Accordingly, Mga+/- female mice were subfertile, exhibiting shorter reproductive lifespan and decreased follicle number compared with WT, mimicking the observed phenotype in humans. Our findings highlight the essential role of MGA deficiency for impaired female reproductive ability.
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Affiliation(s)
- Shuyan Tang
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering, Institute of Medical Genetics and Genomics, Fudan University, Shanghai, China
| | - Ting Guo
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, China
| | - Chengcheng Song
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering, Institute of Medical Genetics and Genomics, Fudan University, Shanghai, China
| | - Lingbo Wang
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering, Institute of Medical Genetics and Genomics, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, China
| | - Jun Zhang
- Center for Reproductive Medicine, Department of Gynecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Aleksandar Rajkovic
- Department of Pathology, Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California, USA
| | - Xiaoqi Lin
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering, Institute of Medical Genetics and Genomics, Fudan University, Shanghai, China
| | - Shiling Chen
- Center for Reproductive Medicine, Department of Gynecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yujun Liu
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center and
| | - Weidong Tian
- School of Life Sciences, Fudan University, Shanghai, China
| | - Bangguo Wu
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, China
| | - Shixuan Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenwen Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yunhui Lai
- Center for Reproductive Medicine, Department of Gynecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ao Wang
- Center for Reproductive Medicine, Department of Gynecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shuhua Xu
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center and
- School of Life Sciences, Fudan University, Shanghai, China
| | - Li Jin
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center and
- School of Life Sciences, Fudan University, Shanghai, China
| | - Hanni Ke
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering, Institute of Medical Genetics and Genomics, Fudan University, Shanghai, China
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, China
| | - Shidou Zhao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, China
| | - Yan Li
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingying Qin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, China
| | - Feng Zhang
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering, Institute of Medical Genetics and Genomics, Fudan University, Shanghai, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center and
- Shanghai Key Laboratory of Embryo Original Diseases, Soong Ching Ling Institute of Maternity and Child Health, International Peace Maternity and Child Health Hospital of China Welfare Institute, Shanghai, China
| | - Zi-Jiang Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (no. 2021RU001), Jinan, China
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
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Chen X, Yu X. Toward a universal approach for predicting variant pathogenicity in diverse disease landscapes. J Genet Genomics 2024; 51:1346-1349. [PMID: 39043334 DOI: 10.1016/j.jgg.2024.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 07/02/2024] [Accepted: 07/14/2024] [Indexed: 07/25/2024]
Affiliation(s)
- Xiang Chen
- Liangzhu Laboratory of Zhejiang University, Hangzhou, Zhejiang 310058, China; Department of Rheumatology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Xiaomin Yu
- Liangzhu Laboratory of Zhejiang University, Hangzhou, Zhejiang 310058, China; Department of Rheumatology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
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Jiao K, Zhang J, Li Q, Lv X, Yu Y, Zhu B, Zhong H, Yu X, Song J, Ke Q, Qian F, Luan X, Zhang X, Chang X, Wang L, Liu M, Dong J, Zou Z, Bu B, Jiang H, Liu L, Li Y, Yue D, Chang X, Zheng Y, Wang N, Gao M, Xia X, Cheng N, Wang T, Luo SS, Xi J, Lin J, Lu J, Zhao C, Yang H, Lin P, Hong D, Zhao Z, Wang Z, Zhu W. Novel variants and genotype-phenotype correlation in a multicentre cohort of GNE myopathy in China. J Med Genet 2024; 61:1053-1061. [PMID: 39332896 DOI: 10.1136/jmg-2024-110149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 09/11/2024] [Indexed: 09/29/2024]
Abstract
BACKGROUND GlcNAc2-epimerase (GNE) myopathy is a rare autosomal recessive disorder caused by pathogenic variants in the GNE gene, which is essential for the sialic acid biosynthesis pathway. OBJECTIVE This multi-centre study aimed to delineate the clinical phenotype and GNE variant spectrum in Chinese patients, enhancing our understanding of the genetic diversity and clinical manifestation across different populations. METHODS We retrospectively analysed GNE variants from 113 patients, integrating these data with external GNE variants from online databases for a global perspective, examining their consequences, distribution, ethnicity and severity. RESULTS This study revealed 97 distinct GNE variants, including 35 (36.08%) novel variants. Two more patients with deep intronic variant c.862+870C>T were identified, while whole genome sequencing (WGS) uncovered another two novel intronic variants: c.52-8924G>T and c.1505-12G>A. Nanopore long reads sequencing (LRS) and further PCR analysis verified a 639 bp insertion at chr9:36249241. Missense variants predominantly located in the epimerase/kinase domain coding region, indicating the impairment of catalytic function as a key pathogenic consequence. Comparative studies with Japanese, Korean and Jewish, our cohorts showed later onset ages by 2 years. The high allele frequency of the non-catalytic GNE variant, c.620A>T, might underlie the milder phenotype of Chinese patients. CONCLUSIONS Comprehensive techniques such as WGS and Nanopore LRS warrants the identifying of GNE variants. Patients with the non-catalytic GNE variant, c.620A>T, had a milder disease progression and later wheelchair use.
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Affiliation(s)
- Kexin Jiao
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Jialong Zhang
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Qiuxiang Li
- Department of Neurology and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University, Changsha, Hunan, China
| | - Xiaoqing Lv
- Department of Neurology and Research Institute of Neuromuscular and Neurodegenerative Diseases, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yanyan Yu
- Department of Neurology and Department of Medical Genetics, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Bochen Zhu
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Huahua Zhong
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Xu'en Yu
- Department of Neurology, The Affiliated Hospital of Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Jia Song
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Qing Ke
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fangyuan Qian
- Department of Neurology, Southeast University Zhongda Hospital, Nanjing, Jiangsu, China
| | - Xinghua Luan
- Department of Neurology, Shanghai Sixth People's Hospital, Shanghai, China
| | - Xiaojie Zhang
- Department of Neurology, Shanghai Sixth People's Hospital, Shanghai, China
| | - Xueli Chang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Liang Wang
- Department of Neurology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Meirong Liu
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Jihong Dong
- Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, Shanghai, China
| | - Zhangyu Zou
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Bitao Bu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haishan Jiang
- Department of Neurology, Southern Medical University Nanfang Hospital, Guangzhou, China, China
| | - LingChun Liu
- Department of Neurology, First People's Hospital of Yunnan, Kunming, Yunnan, China
| | - Yue Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongyue Yue
- Department of Neurology, Jing'an District Centre Hospital of Shanghai, Shanghai, Shanghai, China
| | - Xuechun Chang
- Department of Integrative Biology and Physiology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Yongsheng Zheng
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Ningning Wang
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Mingshi Gao
- Department of Pathology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Xingyu Xia
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Nachuan Cheng
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Tao Wang
- Department of Anesthesiology, Zhongshan hospital, Shanghai, China
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science,Fudan University, Shanghai, China
| | - Su-Shan Luo
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Jianying Xi
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Jie Lin
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Jiahong Lu
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Chongbo Zhao
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
| | - Huan Yang
- Department of Neurology and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University, Changsha, Hunan, China
| | - Pengfei Lin
- Department of Neurology and Research Institute of Neuromuscular and Neurodegenerative Diseases, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Daojun Hong
- Department of Neurology and Department of Medical Genetics, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Zhe Zhao
- Department of Neuromuscular Disease, Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhiqiang Wang
- The Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Xiamen, Fujian, China
| | - Wenhua Zhu
- Department of Neurology, Huashan Hospital Fudan University, Shanghai, Shanghai, China
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42
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He Q, Liu H, Lu L, Zhang Q, Wang Q, Wang B, Wu X, Guan L, Mao J, Xue Y, Zhang C, Cao X, He Y, Peng X, Peng H, Zhao K, Li H, Jin X, Zhao L, Zhang J, Wang T. A genome-wide association study of neonatal metabolites. CELL GENOMICS 2024; 4:100668. [PMID: 39389019 PMCID: PMC11602626 DOI: 10.1016/j.xgen.2024.100668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 12/16/2023] [Accepted: 09/11/2024] [Indexed: 10/12/2024]
Abstract
Genetic factors significantly influence the concentration of metabolites in adults. Nevertheless, the genetic influence on neonatal metabolites remains uncertain. To bridge this gap, we employed genotype imputation techniques on large-scale low-pass genome data obtained from non-invasive prenatal testing. Subsequently, we conducted association studies on a total of 75 metabolic components in neonates. The study identified 19 previously reported associations and 11 novel associations between single-nucleotide polymorphisms and metabolic components. These associations were initially found in the discovery cohort (8,744 participants) and subsequently confirmed in a replication cohort (19,041 participants). The average heritability of metabolic components was estimated to be 76.2%, with a range of 69%-78.8%. These findings offer valuable insights into the genetic architecture of neonatal metabolism.
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Affiliation(s)
- Quanze He
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China; Suzhou Municipal Hospital, Suzhou Jiangsu 215000, China
| | - Hankui Liu
- Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang 050035, China; BGI Genomics, Shenzhen 518083, China
| | - Lu Lu
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Qin Zhang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Qi Wang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Benjing Wang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Xiaojuan Wu
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Liping Guan
- Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang 050035, China; BGI Genomics, Shenzhen 518083, China
| | - Jun Mao
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Ying Xue
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Chunhua Zhang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Xinye Cao
- Clinical Medicine Department, Xinjiang Medical University, Urumqi, Xinjiang Province 830054, China
| | - Yuxing He
- Clinical Medicine Department, Xinjiang Medical University, Urumqi, Xinjiang Province 830054, China
| | - Xiangwen Peng
- Changsha Hospital for Maternal and Child Health Care of Hunan Normal University, Changsha, Hunan Province 431005, China
| | | | - Kangrong Zhao
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Hong Li
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China
| | - Xin Jin
- BGI Research, Shenzhen 518083, China; The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou 510006, China; Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China.
| | - Lijian Zhao
- Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang 050035, China; BGI Genomics, Shenzhen 518083, China; Medical Technology College, Hebei Medical University, Shijiazhuang 050000, China.
| | - Jianguo Zhang
- Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang 050035, China; BGI Research, Shenzhen 518083, China; School of Public Health, Hebei Medical University, Shijiazhuang 050000, China.
| | - Ting Wang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215000, China; Suzhou Municipal Hospital, Suzhou Jiangsu 215000, China.
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43
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Guo J, Guo Q, Zhong T, Xu C, Xia Z, Fang H, Chen Q, Zhou Y, Xie J, Jin D, Yang Y, Wu X, Zhu H, Hour A, Jin X, Zhou Y, Li Q. Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health. CELL GENOMICS 2024; 4:100632. [PMID: 39389020 PMCID: PMC11602594 DOI: 10.1016/j.xgen.2024.100632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 12/02/2023] [Accepted: 07/19/2024] [Indexed: 10/12/2024]
Abstract
Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R2 > 0.8, revealing that 75.6% demonstrated pleiotropy and 50.9% were located in genes implicated in analogous phenotypes. Notably, we discovered 21 maternal SNPs associated with 35 neonatal phenotypes, including two SNPs associated with identical complications in both mothers and children. These findings underscore the importance of integrating ulcWGS data to enrich the discoveries derived from traditional PheWAS approaches.
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Affiliation(s)
- Jintao Guo
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China; National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Department of Hematology, School of Medicine, Xiamen University, Xiamen 361102, China; Weifang People's Hospital, Shandong Second Medical University, Shandong 261041, China
| | - Qiwei Guo
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China
| | - Taoling Zhong
- National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China
| | - Chaoqun Xu
- National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China
| | - Zhongmin Xia
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China
| | - Hongkun Fang
- National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Weifang People's Hospital, Shandong Second Medical University, Shandong 261041, China
| | - Qinwei Chen
- National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Department of Hematology, School of Medicine, Xiamen University, Xiamen 361102, China
| | - Ying Zhou
- National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China
| | - Jieqiong Xie
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China
| | - Dandan Jin
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China
| | - You Yang
- BGI-Shenzhen, Shenzhen 518103, China
| | - Xin Wu
- BGI-Shenzhen, Shenzhen 518103, China
| | | | - Ailing Hour
- Department of Life Science, Fu-Jen Catholic University, Xinzhuang Dist., New Taipei City 242, Taiwan
| | - Xin Jin
- BGI-Shenzhen, Shenzhen 518103, China
| | - Yulin Zhou
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China.
| | - Qiyuan Li
- Department of Pediatrics, School of Medicine, Xiamen University, Xiamen 361102, China; National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Department of Hematology, School of Medicine, Xiamen University, Xiamen 361102, China.
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Liu HK, Hao HL, You H, Feng F, Qi XH, Huang XY, Hou B, Tian CG, Wang H, Yang HM, Wang J, Wu R, Fang H, Zhou JN, Zhang JG, Zhang ZX. A Cysteinyl-tRNA Synthetase Mutation Causes Novel Autosomal-Dominant Inheritance of a Parkinsonism/Spinocerebellar-Ataxia Complex. Neurosci Bull 2024; 40:1489-1501. [PMID: 38869703 PMCID: PMC11422396 DOI: 10.1007/s12264-024-01231-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/22/2023] [Indexed: 06/14/2024] Open
Abstract
This study aimed to identify possible pathogenic genes in a 90-member family with a rare combination of multiple neurodegenerative disease phenotypes, which has not been depicted by the known neurodegenerative disease. We performed physical and neurological examinations with International Rating Scales to assess signs of ataxia, Parkinsonism, and cognitive function, as well as brain magnetic resonance imaging scans with seven sequences. We searched for co-segregations of abnormal repeat-expansion loci, pathogenic variants in known spinocerebellar ataxia-related genes, and novel rare mutations via whole-genome sequencing and linkage analysis. A rare co-segregating missense mutation in the CARS gene was validated by Sanger sequencing and the aminoacylation activity of mutant CARS was measured by spectrophotometric assay. This pedigree presented novel late-onset core characteristics including cerebellar ataxia, Parkinsonism, and pyramidal signs in all nine affected members. Brain magnetic resonance imaging showed cerebellar/pons atrophy, pontine-midline linear hyperintensity, decreased rCBF in the bilateral basal ganglia and cerebellar dentate nucleus, and hypo-intensities of the cerebellar dentate nuclei, basal ganglia, mesencephalic red nuclei, and substantia nigra, all of which suggested neurodegeneration. Whole-genome sequencing identified a novel pathogenic heterozygous mutation (E795V) in the CARS gene, meanwhile, exhibited none of the known repeat-expansions or point mutations in pathogenic genes. Remarkably, this CARS mutation causes a 20% decrease in aminoacylation activity to charge tRNACys with L-cysteine in protein synthesis compared with that of the wild type. All family members carrying a heterozygous mutation CARS (E795V) had the same clinical manifestations and neuropathological changes of Parkinsonism and spinocerebellar-ataxia. These findings identify novel pathogenesis of Parkinsonism-spinocerebellar ataxia and provide insights into its genetic architecture.
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Affiliation(s)
- Han-Kui Liu
- BGI Genomics and BGI Research, Shenzhen, 518083, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Clin Lab, BGI Genomics, Shijiazhuang, 050011, China
| | - Hong-Lin Hao
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Hui You
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Feng Feng
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xiu-Hong Qi
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China
| | | | - Bo Hou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | | | - Han Wang
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | | | - Jian Wang
- BGI Genomics and BGI Research, Shenzhen, 518083, China
| | - Rui Wu
- Department of Pathology, Beijing Key Laboratory of Biomarker Research and Transformation for Neurodegenerative Diseases, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Hui Fang
- Anhui Provincial Children's Hospital, Children's Hospital of Fudan University, Hefei, 230051, China
| | - Jiang-Ning Zhou
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China
- Institute of Brain Science, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Jian-Guo Zhang
- BGI Genomics and BGI Research, Shenzhen, 518083, China.
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Clin Lab, BGI Genomics, Shijiazhuang, 050011, China.
| | - Zhen-Xin Zhang
- Department of Neurology, Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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Luan D, Li SZ, Zhang C, Ye B. Association of single nucleotide polymorphisms and gene-environment interactions with major depressive disorder in Chinese. Heliyon 2024; 10:e37504. [PMID: 39315198 PMCID: PMC11417526 DOI: 10.1016/j.heliyon.2024.e37504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 08/16/2024] [Accepted: 09/04/2024] [Indexed: 09/25/2024] Open
Abstract
We conducted a case-control study to investigate the effects of genetics and gene-environment interactions on major depressive disorders (MDD) in the Chinese population. Using targeted-exome sequencing, we included 984 patients with MDD and 508 healthy controls in our study. A logistic regression model was employed to analyze the association between single nucleotide polymorphisms (SNPs) and MDD. Additionally, a linear regression model was utilized to examine the associations between (1) gene-environment interaction and the 17-item Hamilton Depression Rating Scale, (2) SNPs and the Beck Scale for Suicide Ideation-Chinese version, and gene-environment interaction and the Beck scale for suicide ideation-Chinese version. The association analysis between SNPs and MDD revealed that the following loci reached genome-wide significance: rs2305554 of the cholinergic receptor nicotinic alpha 7 subunit, rs9459173 of synaptojanin 2, rs372369000 of beta-1,4-galactosyltransferase 6, rs866666526 of dopa decarboxylase, rs1254882194 of calcium/calmodulin dependent protein kinase ID, rs199880487 of reelin, rs1167948188 of reelin, rs1390140186 of QKI, KH domain containing RNA binding, and rs1776342 of period circadian regulator 3. The association analysis between SNPs and the Beck Scale for Suicide Ideation-Chinese version indicated that rs264272 and rs1774784888 of piezo type mechanosensitive ion channel component 2 reached genome-wide significance. These findings may enhance our understanding of MDD and contribute to the development of new potential targets for its diagnosis and treatment.
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Affiliation(s)
- Di Luan
- Department of Neurology, Bengbu Third People's Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Central Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Third People's Hospital Affiliated to Bengbu Medical University, Bengbu, 233000, Anhui, China
| | - Shi-zun Li
- Department of Neurology, Bengbu Third People's Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Central Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Third People's Hospital Affiliated to Bengbu Medical University, Bengbu, 233000, Anhui, China
| | - Can Zhang
- Department of Neurology, Bengbu Third People's Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Central Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Third People's Hospital Affiliated to Bengbu Medical University, Bengbu, 233000, Anhui, China
| | - Bin Ye
- Department of Neurology, Bengbu Third People's Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Central Hospital, Bengbu, 233000, Anhui, China
- Department of Neurology, Bengbu Third People's Hospital Affiliated to Bengbu Medical University, Bengbu, 233000, Anhui, China
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Park JE, Kang MC, Lee T, Cho EH, Jang MA, Won D, Park B, Ki CS, Kong SY. Prevalence Estimation of the PALB2 Germline Variant in East Asians and Koreans through Population Database Analysis. Cancers (Basel) 2024; 16:3318. [PMID: 39409938 PMCID: PMC11476084 DOI: 10.3390/cancers16193318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 09/25/2024] [Accepted: 09/26/2024] [Indexed: 10/20/2024] Open
Abstract
PALB2 is a tumor suppressor gene. Heterozygous germline pathogenic variants of PALB2 significantly increase the lifetime risk of breast cancer and moderately increase the risk of ovarian and pancreatic cancers. This study analyzed the estimated prevalence of PALB2 variants globally, focusing on East Asian and Korean populations, where limited data were previously available. We examined 125,748 exomes from the Genome Aggregation Database (gnomAD), including 9197 East Asians, and additional data from 5305 individuals in the Korean Variant Archive and 1722 in the Korean Reference Genome Database. All PALB2 variants were interpreted according to guidelines from the American College of Medical Genetics and Genomics and the Clinical Genome Resource. The global prevalence of PALB2 variants was 0.18%, with the highest prevalence in Finnish populations (0.41%) and the lowest in Ashkenazi Jewish populations (0.04%). East Asians had a prevalence of 0.09%. By combining data from Korean genome databases and gnomAD totaling 8936 individuals, the overall prevalence of PALB2 variants in the Korean population was determined to be 0.13%. This study is the first comprehensive investigation of PALB2 variant prevalence in East Asians and Koreans using gnomAD and Korean genome databases. These findings provide essential reference data for future research and highlight the importance of region-specific genetic studies that will inform genetic counseling and hereditary cancer risk management.
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Affiliation(s)
- Jong Eun Park
- Department of Laboratory Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri 11923, Republic of Korea;
| | - Min-Chae Kang
- Targeted Therapy Branch, National Cancer Center, Goyang 10498, Republic of Korea
| | | | - Eun Hye Cho
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea
| | - Mi-Ae Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Dongju Won
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Boyoung Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul 04763, Republic of Korea
| | | | - Sun-Young Kong
- Targeted Therapy Branch, National Cancer Center, Goyang 10498, Republic of Korea
- Department of Laboratory Medicine, National Cancer Center, Goyang 10498, Republic of Korea
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang 10498, Republic of Korea
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Li KX, Fan L, Wang H, Tian Y, Zhang S, Hu Q, Liu F, Chen H, Hou H. A synonymous mutation of rs1137070 cause the mice Maoa gene transcription and translation to decrease. Front Mol Neurosci 2024; 17:1406708. [PMID: 39359688 PMCID: PMC11446106 DOI: 10.3389/fnmol.2024.1406708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/03/2024] [Indexed: 10/04/2024] Open
Abstract
The Monoamine Oxidase-A (MAOA) EcoRV polymorphism (rs1137070) is a unique synonymous mutation (c.1409 T > C) within the MAOA gene, which plays a crucial role in Maoa gene expression and function. This study aimed to explore the relationship between the mouse Maoa rs1137070 genotype and differences in MAOA gene expression. Mice carrying the CC genotype of rs1137070 exhibited a significantly lower Maoa expression level, with an odds ratio of 2.44 compared to the T carriers. Moreover, the wild-type TT genotype of MAOA demonstrated elevated mRNA expression and a longer half-life. We also delved into the significant expression and structural disparities among genotypes. Furthermore, it was evident that different aspartic acid synonymous codons within Maoa influenced both MAOA expression and enzyme activity, highlighting the association between rs1137070 and MAOA. To substantiate these findings, a dual-luciferase reporter assay confirmed that GAC was more efficient than GAT binding. Conversely, the synonymous mutation altered Maoa gene expression in individual mice. An RNA pull-down assay suggested that this alteration could impact the interaction with RNA-binding proteins. In summary, our results illustrate that synonymous mutations can indeed regulate the downregulation of gene expression, leading to changes in MAOA function and their potential association with neurological-related diseases.
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Affiliation(s)
- Kai Xin Li
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Institute of Technical Biology and Agricultural Engineering, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| | - Lei Fan
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Institute of Technical Biology and Agricultural Engineering, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| | - Hongjuan Wang
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
| | - Yushan Tian
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
| | - Sen Zhang
- Department of Bioengineering, School of Chemical Engineering, Northwest University, Xi’an, China
| | - Qingyuan Hu
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Institute of Technical Biology and Agricultural Engineering, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| | - Fanglin Liu
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Institute of Technical Biology and Agricultural Engineering, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| | - Huan Chen
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
| | - Hongwei Hou
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
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Wang Y, Li N, Zhang S. Estimating carrier rates and prevalence of porphyria-associated gene variants in the Chinese population based on genetic databases. Orphanet J Rare Dis 2024; 19:337. [PMID: 39267094 PMCID: PMC11391836 DOI: 10.1186/s13023-024-03287-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 07/14/2024] [Indexed: 09/14/2024] Open
Abstract
Porphyria is a group of rare metabolic disorders caused by mutations in the genes encoding crucial enzymes in the heme biosynthetic pathway. However, the lack of comprehensive genetic analysis of porphyria patients in the Chinese population makes identifying and diagnosing carriers of the condition challenging. Using the ChinaMAP database, we determined the frequencies of P/LP porphyria-associated gene variants according to the ACMG guidelines. We also calculated the carrier rates and prevalence of each type of porphyria in the Chinese population under Hardy-Weinberg equilibrium. Compared with the variants in the gnomAD database, the genetic spectrum of porphyria-related P/LP variants in the Chinese population is distinct. In the ChinaMAP database, we identified 23 variants. We estimated the carrier rates for autosomal dominant porphyrias (AIP, HCP, VP, PCT) in the Chinese population to be 1/1059, 1/1513, 1/10588, and 1/1765, respectively. For autosomal recessive porphyrias (ADP, EPP, HEP, CEP), the estimated carrier rates were 1/5294, 1/2117, 1/1765, and 1/2647, respectively, with predicted prevalence rates of 8.92 × 10-9, 7.51 × 10-5, 8.02 × 10-8, and 3.57 × 10-8, respectively. Notably, 12 of the variants we identified were unique to the Chinese population. The predicted prevalence rate of EPP was the highest among the various types of porphyria in the Chinese population, while the others were moderate to low. This is the first comprehensive genetic study on porphyria in the Chinese population. Clarifying the genetic characteristics of various porphyria types among the Chinese population provides scientifically sound reference data for both research and genetic screening to identify porphyria carriers.
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Affiliation(s)
- Yinan Wang
- Department of Basic Medicine, Hebei Medical University, 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050011, Hebei Province, China
| | - Nuoya Li
- Department of Public Health, Hebei Medical University, 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050011, Hebei Province, China
| | - Songyun Zhang
- Hebei Key Laboratory of Rare Diseases, Shijiazhuang, 050000, Hebei, China.
- Porphyria Multi Disciplinary Team of the Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
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Lin Q, Wang X, Peng X, Han T, Sun L, Zhang X, Zhou X. A genetic investigation in five Chinese families with keratoconus. PeerJ 2024; 12:e18037. [PMID: 39238827 PMCID: PMC11376248 DOI: 10.7717/peerj.18037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 08/12/2024] [Indexed: 09/07/2024] Open
Abstract
Background This study investigated the genetic characteristics of five Chinese families with keratoconus (KC). Methods In the five families affected by KC, medical records, clinical observations, and blood samples were collected from all individuals. All KC family members (n = 20) underwent both whole exome sequencing of genomic DNA and Sanger sequencing to confirm the variants. Online software was utilized to analyze all variants, and the online server I-TASSER was employed for in silico predictions of the three-dimensional protein structures of the variants. The newly discovered variants and single nucleotide polymorphisms were further examined in 322 sporadic KC patients. Results The Pentacam tomographic composite index in those affected first-degree family members of the probands showed a pathological change. Five new variants were detected in the five probands and other affected members in their families: a heterozygous missense variant g.19043832C>T (p.Ser145Asn) in the homer scaffolding protein 3 (HOMER3) gene; a heterozygous missense variant g.99452113G>A (p.Gly483Arg) in the insulin-like growth factor 1 receptor (IGF1R) gene; a heterozygous missense variant g.55118280G>T (p.Trp843Leu) in the echinoderm microtubule-associated protein like 6 (EML6) gene; a heterozygous frameshift variant c. 1226_1227del (p.Gln410Glufs*17) in the DOP1 leucine zipper-like protein B (DOP1B) gene; and a heterozygous splice-site variant c.7776+2T>A in the neurobeachin-like protein 2 (NBEAL2) gene. These variations were predicted to be potentially pathogenic and associated with KC. Conclusion Five novel variants in HOMER3, IGF1R, EML6, DOP1B, and NBEAL2 genes were identified in this study and may be associated with the pathogenesis of KC. This study provides new information about the gene variants and their protein changes in KC patients. The findings should be explored further and could potentially be applied to the early diagnosis of KC before clinical onset.
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Affiliation(s)
- Qinghong Lin
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- Refractive Surgery Department, Bright Eye Hospital, Fuzhou, China
| | - Xuejun Wang
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Xiaoliao Peng
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Tian Han
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Ling Sun
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Xiaoyu Zhang
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Xingtao Zhou
- Department of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
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50
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Wu C, Yang F, Zhong H, Hong J, Lin H, Zong M, Ren H, Zhao S, Chen Y, Shi Z, Wang X, Shen J, Wang Q, Ni M, Chen B, Cai Z, Zhang M, Cao Z, Wu K, Gao A, Li J, Liu C, Xiao M, Li Y, Shi J, Zhang Y, Xu X, Gu W, Bi Y, Ning G, Wang W, Wang J, Liu R. Obesity-enriched gut microbe degrades myo-inositol and promotes lipid absorption. Cell Host Microbe 2024; 32:1301-1314.e9. [PMID: 38996548 DOI: 10.1016/j.chom.2024.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/29/2024] [Accepted: 06/14/2024] [Indexed: 07/14/2024]
Abstract
Numerous studies have reported critical roles for the gut microbiota in obesity. However, the specific microbes that causally contribute to obesity and the underlying mechanisms remain undetermined. Here, we conducted shotgun metagenomic sequencing in a Chinese cohort of 631 obese subjects and 374 normal-weight controls and identified a Megamonas-dominated, enterotype-like cluster enriched in obese subjects. Among this cohort, the presence of Megamonas and polygenic risk exhibited an additive impact on obesity. Megamonas rupellensis possessed genes for myo-inositol degradation, as demonstrated in vitro and in vivo, and the addition of myo-inositol effectively inhibited fatty acid absorption in intestinal organoids. Furthermore, mice colonized with M. rupellensis or E. coli heterologously expressing the myo-inositol-degrading iolG gene exhibited enhanced intestinal lipid absorption, thereby leading to obesity. Altogether, our findings uncover roles for M. rupellensis as a myo-inositol degrader that enhances lipid absorption and obesity, suggesting potential strategies for future obesity management.
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Affiliation(s)
- Chao Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fangming Yang
- BGI Research, Shenzhen 518083, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen 518083, China
| | - Huanzi Zhong
- BGI Research, Shenzhen 518083, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen 518083, China
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huibin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mingxi Zong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huahui Ren
- BGI Research, Shenzhen 518083, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen 518083, China
| | - Shaoqian Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufei Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhun Shi
- BGI Research, Shenzhen 518083, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen 518083, China
| | - Xingyu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Shen
- BGI Research, Shenzhen 518083, China
| | - Qiaoling Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengshan Ni
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Banru Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhongle Cai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Minchun Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiwen Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kui Wu
- BGI Research, Shenzhen 518083, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Aibo Gao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junhua Li
- BGI Research, Shenzhen 518083, China
| | - Cong Liu
- BGI Research, Shenzhen 518083, China
| | | | - Yan Li
- BGI Research, Shenzhen 518083, China
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xun Xu
- BGI Research, Shenzhen 518083, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jiqiu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Ruixin Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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