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Liu Z, Lu SY, Ma SJ, Zhou L, Li WY, Du H, Liu JF. Genomic evidence of the blood virome and bacteriome provides insights into prevalence, evolution, and susceptibility-related genes across Eurasian pigs. BMC Genomics 2025; 26:413. [PMID: 40301733 PMCID: PMC12039222 DOI: 10.1186/s12864-025-11623-9] [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: 02/23/2025] [Accepted: 04/22/2025] [Indexed: 05/01/2025] Open
Abstract
BACKGROUND Infectious diseases are among the primary constraints to pig production, and the globalization of the pig industry has contributed to the emergence and spread of pathogens. However, there is a lack of comprehensive genomic surveillance on the Eurasian scale, resulting in the prevalence and evolution of pig pathogenic viruses and bacteria are still unknown. RESULTS In this study, we proposed a protocol to identify viral and bacterial sequences and estimate the abundance accurately based on the whole-genome sequencing data of the blood samples. Through whole-genome analysis of 685 Eurasian pigs, we constructed the blood virome and bacteriome landscape. There were a total of 15 pathogenic bacteria, 12 pathogenic viruses, and porcine endogenous retrovirus were identified. We divided 685 Eurasian pigs into three subgroups and discovered significant differences in the viral and bacterial composition, prevalence, and abundance among subgroups. Besides, we performed the quantitative Polymerase Chain Reaction experiment to quantify the copy number of porcine endogenous retrovirus and confirm the reliability of the proposed protocol. Furthermore, we constructed the phylogenetic tree of porcine parvovirus 6 and the results suggested that large-scale transportation across China provides viral connectivity between geographically distinct localities, potentially facilitating the spread of viruses. We also discovered the ADAM28 and ADAMDEC1 genes that may relate to porcine lymphotropic herpesvirus, and the ATF4 gene that may correlate with porcine cytomegalovirus. CONCLUSIONS Our study provides new insights into the genomic investigation and epidemiology of viruses and bacteria, in turn helping to prevent viral and bacterial infectious diseases in pigs.
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Affiliation(s)
- Zhen Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Shi-Yu Lu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Si-Jia Ma
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Lei Zhou
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Wan-Ying Li
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Heng Du
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China.
| | - Jian-Feng Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Breeding (MOE), College of Animal Science and Technology, China Agricultural University (West District), No.2 Yuanmingyuan West Road, Beijing, 100193, China.
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Wu Y, Zhang Z, Wang X, Liu X, Qiu Y, Ge X, Miao Z, Meng X, Peng Y. Virome analysis provides new insights into the pathogenesis mechanism and treatment of SLE disease. Front Cell Infect Microbiol 2024; 14:1484529. [PMID: 39512588 PMCID: PMC11540821 DOI: 10.3389/fcimb.2024.1484529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 10/07/2024] [Indexed: 11/15/2024] Open
Abstract
Introduction This study aimed to investigate the virome diversity of the SLE disease and the association between viral infections and the disease. Methods SLE-related RNA-Seq data were retrieved from public databases. A rigorous computational workflow was employed to identify the human viruses. Differential expression analysis and functional enrichment analysis were conducted in R. Results We identified ten human virus species from 826 RNA-Seq samples of human blood, comprising 688 SLE patients and 138 healthy controls. Eight of the ten virus species exhibited higher positive rates in SLE patients compared to healthy controls, with Human betaherpesvirus 5 (HHV5) having the highest positive rate (4.1%) and being exclusively detected in SLE samples. The virus abundances were low and comparable in both SLE patients and healthy controls. Analysis of the antiviral interferon-stimulated genes (ISGs) in samples showed higher ISG expression levels in HHV4 and HHV5-positive samples compared to virus-negative samples. Several genes that were up-regulated in SLE patients were further up-regulated after HHV5 infection, and they were mainly enriched in immune response-related biological processes. Additionally, the expression levels of several marker genes of SLE severity were compared between HHV5-positive and virus-negative SLE patients, suggesting that HHV5 infection may be associated with aggravated SLE disease. Discussion We found that SLE patients are more susceptible to viral infections than healthy individuals. Viral infections, such as HHV5, may be associated with aggravated SLE disease. This study deepens our understanding of the association between viruses and SLE and provides new insights into prevention and control of the disease.
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Affiliation(s)
- Yifan Wu
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Zhiyuan Zhang
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Xinglian Wang
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Xun Liu
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Ye Qiu
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Xingyi Ge
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Zhichao Miao
- GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
| | - Xiangxian Meng
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
| | - Yousong Peng
- Hunan Provincial Key Laboratory of Medical Virology, College of Biology, Hunan University, Changsha, China
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Kandathil AJ, Blair PW, Lu J, Anantharam R, Kobba K, Robinson ML, Alharthi S, Ndawula EC, Dumler JS, Kakooza F, Lamorde M, Thomas DL, Salzberg SL, Manabe YC. Metagenomic next generation sequencing of plasma RNA for diagnosis of unexplained, acute febrile illness in Uganda. PLoS Negl Trop Dis 2024; 18:e0012451. [PMID: 39298515 PMCID: PMC11460704 DOI: 10.1371/journal.pntd.0012451] [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: 01/24/2024] [Revised: 10/08/2024] [Accepted: 08/11/2024] [Indexed: 09/21/2024] Open
Abstract
Metagenomic next generation metagenomic sequencing (mNGS) has proven to be a useful tool in the diagnosis and identification of novel human pathogens and pathogens not identified on routine clinical microbiologic tests. In this study, we applied mNGS to characterize plasma RNA isolated from 42 study participants with unexplained acute febrile illness (AFI) admitted to tertiary referral hospitals in Mubende and Arua, Uganda. Study participants were selected based on clinical criteria suggestive of viral infection (i.e., thrombocytopenia, leukopenia). The study population had a median age of 28 years (IQR:24 to 38.5) and median platelet count of 114 x103 cells/mm3 (IQR:66,500 to 189,800). An average of 25 million 100 bp reads were generated per sample. We identified strong signals from diverse virus, bacteria, fungi, or parasites in 10 (23.8%) of the study participants. These included well recognized pathogens like Helicobacter pylori, human herpes virus-8, Plasmodium falciparum, Neisseria gonorrhoeae, and Rickettsia conorii. We further confirmed Rickettsia conorii infection, the cause of Mediterranean Spotted Fever (MSF), using PCR assays and Sanger sequencing. mNGS was a useful addition for detection of otherwise undetected pathogens and well-recognized non-pathogens. This is the first report to describe the molecular confirmation of a hospitalized case of MSF in sub-Saharan Africa (SSA). Further studies are needed to determine the utility of mNGS for disease surveillance in similar settings.
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Affiliation(s)
- Abraham J. Kandathil
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Paul W. Blair
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
- Department of Pathology, Uniformed Services University, Bethesda, Maryland, United States of America
| | - Jennifer Lu
- Center for Computational Biology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Raghavendran Anantharam
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Kenneth Kobba
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Matthew L. Robinson
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Sultanah Alharthi
- Department of Pathology, Uniformed Services University, Bethesda, Maryland, United States of America
| | - Edgar C. Ndawula
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - J. Stephen Dumler
- Department of Pathology, Uniformed Services University, Bethesda, Maryland, United States of America
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Francis Kakooza
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Mohammed Lamorde
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - David L. Thomas
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Steven L. Salzberg
- Center for Computational Biology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Departments of Computer Science and Biostatistics, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Yukari C. Manabe
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
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Ma S, Yin Y, Guo Y, Yao C, Xu S, Luo Q, Yin G, Wang S, Wang Q, Chen H, Wang R, Jin L, Liang G, Wang H. The plasma viral communities associate with clinical profiles in a large-scale haematological patients cohort. MICROBIOME 2024; 12:137. [PMID: 39044261 PMCID: PMC11265361 DOI: 10.1186/s40168-024-01855-4] [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: 11/30/2023] [Accepted: 06/03/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND Haematological patients exhibit immune system abnormalities that make them susceptible to viral infections. Understanding the relationship between the virome in the blood plasma of haematological patients and their clinical characteristic is crucial for disease management. We aimed to explore the presence of viral pathogens and identify close associations between viral infections and various clinical features. RESULTS A total of 21 DNA viruses and 6 RNA viruses from 12 virus families were identified from 1383 patients. Patients with haematological diseases exhibited significantly higher diversity, prevalence, and co-detection rates of viral pathogens. During fever episodes, pathogen detection was notably higher, with Epstein-Barr virus (EBV) and Mucorales infections being the most probable culprits for fever symptoms in non-haematological patients. The detection rate of torque teno virus (TTV) significantly increases in haematological patients after transplantation and during primary lung infections. Additionally, TTV-positive patients demonstrate significantly higher absolute neutrophil counts, while C-reactive protein and procalcitonin levels are notably lower. Furthermore, TTV, cytomegalovirus, and parvovirus B19 (B19V) were found to be more prevalent in non-neutropenic patients, while non-viral pathogenic infections, such as Gram-negative bacteria and Mucorales, were more common in neutropenic patients. Pegivirus C (HPgV-C) infection often occurred post-transplantation, regardless of neutropenia. Additionally, some viruses such as TTV, B19V, EBV, and HPgV-C showed preferences for age and seasonal infections. CONCLUSIONS Analysis of the plasma virome revealed the susceptibility of haematological patients to plasma viral infections at specific disease stages, along with the occurrence of mixed infections with non-viral pathogens. Close associations were observed between the plasma virome and various clinical characteristics, as well as clinical detection parameters. Understanding plasma virome aids in auxiliary clinical diagnosis and treatment, enabling early prevention to reduce infection rates in patients and improve their quality of life. Video Abstract.
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Affiliation(s)
- Shuai Ma
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Yuyao Yin
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Yifan Guo
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Chaoqun Yao
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Siqi Xu
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qingqing Luo
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Guankun Yin
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Shuyi Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Qi Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Hongbin Chen
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Ruobing Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Longyang Jin
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China
| | - Guanxiang Liang
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Hui Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, China.
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
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Zhang J, He Y, He J, Ying Y, Zhu F. Full annotation of viral metagenomics in different components from Chinese blood donors using next-generation sequencing. BLOOD TRANSFUSION = TRASFUSIONE DEL SANGUE 2024; 22:140-149. [PMID: 37458723 PMCID: PMC10920063 DOI: 10.2450/bloodtransfus.451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/05/2023] [Indexed: 03/06/2024]
Abstract
BACKGROUND Emerging viruses in the blood of healthy/qualified donors can seriously affect transfusion safety. However, the virus characteristics in different healthy blood donors and blood components are still not fully understood. MATERIALS AND METHODS Buffy coat (BC) and plasma specimens were collected from 32 whole blood donors, and platelet (PLT) and BC specimens from 30 apheresis platelet donors to explore the full annotation of viral metagenomics in different blood components from Chinese blood donors using next-generation sequencing technology. RESULTS The study detected 56 viruses in the plasma and BC groups of whole blood donors. The plasma group had a significantly higher viral abundance and more types of viruses than the BC group. We detected 20 viruses in the PLT and BC groups of apheresis platelet donors. Viral abundance and types were significantly lower in the BC group than in the PLT group. According to β-diversity analysis, the plasma group had a significantly different community structure and composition than the BC group. DISCUSSION Viral nucleic acid is found in the blood of healthy Chinese blood donors, with the highest concentration in plasma, which could explain the distribution of viruses in the blood of healthy individuals.
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Affiliation(s)
- Jingjing Zhang
- Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Yanmin He
- Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Ji He
- Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Yanling Ying
- Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Faming Zhu
- Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
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Cao Z, Fan D, Sun Y, Huang Z, Li Y, Su R, Zhang F, Li Q, Yang H, Zhang F, Miao Y, Lan P, Wu X, Zuo T. The gut ileal mucosal virome is disturbed in patients with Crohn's disease and exacerbates intestinal inflammation in mice. Nat Commun 2024; 15:1638. [PMID: 38388538 PMCID: PMC10884039 DOI: 10.1038/s41467-024-45794-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 02/01/2024] [Indexed: 02/24/2024] Open
Abstract
Gut bacteriome dysbiosis is known to be implicated in the pathogenesis of inflammatory bowel disease (IBD). Crohn's disease (CD) is an IBD subtype with extensive mucosal inflammation, yet the mucosal virome, an empirical modulator of the bacteriome and mucosal immunity, remains largely unclear regarding its composition and role. Here, we exploited trans-cohort CD patients and healthy individuals to compositionally and functionally investigate the small bowel (terminal ileum) virome and bacteriome. The CD ileal virome was characterised by an under-representation of both lytic and temperate bacteriophages (especially those targeting bacterial pathogens), particularly in patients with flare-up. Meanwhile, the virome-bacteriome ecology in CD ileal mucosa was featured by a lack of Bifidobacterium- and Lachnospiraceae-led mutualistic interactions between bacteria and bacteriophages; surprisingly it was more pronounced in CD remission than flare-up, underlining the refractory and recurrent nature of mucosal inflammation in CD. Lastly, we substantiated that ileal virions from CD patients causally exacerbated intestinal inflammation in IBD mouse models, by reshaping a gut virome-bacteriome ecology preceding intestinal inflammation (microbial trigger) and augmenting microbial sensing/defence pathways in the intestine cells (host response). Altogether, our results highlight the significance of mucosal virome in CD pathogenesis and importance of mucosal virome restoration in CD therapeutics.
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Affiliation(s)
- Zhirui Cao
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Dejun Fan
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yang Sun
- Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
- Yunnan Province Clinical Research Centre for Digestive Diseases, Kunming, Yunnan, China.
- Yunnan Geriatric Medical Centre, Kunming, Yunnan, China.
| | - Ziyu Huang
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yue Li
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Runping Su
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Feng Zhang
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qing Li
- Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Hongju Yang
- Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
- Yunnan Geriatric Medical Centre, Kunming, Yunnan, China
| | - Fen Zhang
- Department of Food Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Yinglei Miao
- Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
- Yunnan Province Clinical Research Centre for Digestive Diseases, Kunming, Yunnan, China
| | - Ping Lan
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiaojian Wu
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China.
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Department of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Tao Zuo
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China.
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Centre for Faecal Microbiota Transplantation Research, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Biomedical Innovation Centre, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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Feng X, Liu S, Li K, Bu F, Yuan H. NCAD v1.0: a database for non-coding variant annotation and interpretation. J Genet Genomics 2024; 51:230-242. [PMID: 38142743 DOI: 10.1016/j.jgg.2023.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 12/26/2023]
Abstract
The application of whole genome sequencing is expanding in clinical diagnostics across various genetic disorders, and the significance of non-coding variants in penetrant diseases is increasingly being demonstrated. Therefore, it is urgent to improve the diagnostic yield by exploring the pathogenic mechanisms of variants in non-coding regions. However, the interpretation of non-coding variants remains a significant challenge, due to the complex functional regulatory mechanisms of non-coding regions and the current limitations of available databases and tools. Hence, we develop the non-coding variant annotation database (NCAD, http://www.ncawdb.net/), encompassing comprehensive insights into 665,679,194 variants, regulatory elements, and element interaction details. Integrating data from 96 sources, spanning both GRCh37 and GRCh38 versions, NCAD v1.0 provides vital information to support the genetic diagnosis of non-coding variants, including allele frequencies of 12 diverse populations, with a particular focus on the population frequency information for 230,235,698 variants in 20,964 Chinese individuals. Moreover, it offers prediction scores for variant functionality, five categories of regulatory elements, and four types of non-coding RNAs. With its rich data and comprehensive coverage, NCAD serves as a valuable platform, empowering researchers and clinicians with profound insights into non-coding regulatory mechanisms while facilitating the interpretation of non-coding variants.
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Affiliation(s)
- Xiaoshu Feng
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610044, China
| | - Sihan Liu
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610044, China
| | - Ke Li
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610044, China
| | - Fengxiao Bu
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610044, China.
| | - Huijun Yuan
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610044, China.
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