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Ginete C, Delgadinho M, Santos B, Miranda A, Silva C, Guerreiro P, Chimusa ER, Brito M. Genetic Modifiers of Sickle Cell Anemia Phenotype in a Cohort of Angolan Children. Genes (Basel) 2024; 15:469. [PMID: 38674403 PMCID: PMC11049512 DOI: 10.3390/genes15040469] [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: 03/18/2024] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
The aim of this study was to identify genetic markers in the HBB Cluster; HBS1L-MYB intergenic region; and BCL11A, KLF1, FOX3, and ZBTB7A genes associated with the heterogeneous phenotypes of Sickle Cell Anemia (SCA) using next-generation sequencing, as well as to assess their influence and prevalence in an Angolan population. Hematological, biochemical, and clinical data were considered to determine patients' severity phenotypes. Samples from 192 patients were sequenced, and 5,019,378 variants of high quality were registered. A catalog of candidate modifier genes that clustered in pathophysiological pathways important for SCA was generated, and candidate genes associated with increasing vaso-occlusive crises (VOC) and with lower fetal hemoglobin (HbF) were identified. These data support the polygenic view of the genetic architecture of SCA phenotypic variability. Two single nucleotide polymorphisms in the intronic region of 2q16.1, harboring the BCL11A gene, are genome-wide and significantly associated with decreasing HbF. A set of variants was identified to nominally be associated with increasing VOC and are potential genetic modifiers harboring phenotypic variation among patients. To the best of our knowledge, this is the first investigation of clinical variation in SCA in Angola using a well-customized and targeted sequencing approach.
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Affiliation(s)
- Catarina Ginete
- H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990-096 Lisbon, Portugal; (C.G.); (M.D.); (C.S.); (P.G.)
| | - Mariana Delgadinho
- H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990-096 Lisbon, Portugal; (C.G.); (M.D.); (C.S.); (P.G.)
| | - Brígida Santos
- Centro de Investigação em Saúde de Angola (CISA), Bengo 9999, Angola;
- Hospital Pediátrico David Bernardino (HPDB), Luanda 3067, Angola
| | - Armandina Miranda
- Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal;
| | - Carina Silva
- H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990-096 Lisbon, Portugal; (C.G.); (M.D.); (C.S.); (P.G.)
- Centro de Estatística e Aplicações, Universidade de Lisboa, 1649-013 Lisbon, Portugal
| | - Paulo Guerreiro
- H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990-096 Lisbon, Portugal; (C.G.); (M.D.); (C.S.); (P.G.)
| | - Emile R. Chimusa
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK;
| | - Miguel Brito
- H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990-096 Lisbon, Portugal; (C.G.); (M.D.); (C.S.); (P.G.)
- Centro de Investigação em Saúde de Angola (CISA), Bengo 9999, Angola;
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Qiao L, Gao X, Jia Z, Liu X, Wang H, Kong Y, Qin P, Yang B. Identification of adult resistant genes to stripe rust in wheat from southwestern China based on GWAS and WGCNA analysis. PLANT CELL REPORTS 2024; 43:67. [PMID: 38341832 DOI: 10.1007/s00299-024-03148-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/02/2024] [Indexed: 02/13/2024]
Abstract
KEY MESSAGE In this study, genome-wide association studies combined with transcriptome data analysis were utilized to reveal potential candidate genes for stripe rust resistance in wheat, providing a basis for screening wheat varieties for stripe rust resistance. Wheat stripe rust, which is caused by the wheat stripe rust fungus (Puccinia striiformis f. sp. tritici, Pst) is one of the world's most devastating diseases of wheat. Genetic resistance is the most effective strategy for controlling diseases. Although wheat stripe rust resistance genes have been identified to date, only a few of them confer strong and broad-spectrum resistance. Here, the resistance of 335 wheat germplasm resources (mainly wheat landraces) from southwestern China to wheat stripe rust was evaluated at the adult stage. Combined genome-wide association study (GWAS) and weighted gene co-expression network analysis (WGCNA) based on RNA sequencing from stripe rust resistant accession Y0337 and susceptible accession Y0402, five candidate resistance genes to wheat stripe rust (TraesCS1B02G170200, TraesCS2D02G181000, TraesCS4B02G117200, TraesCS6A02G189300, and TraesCS3A02G122300) were identified. The transcription level analyses showed that these five genes were significantly differentially expressed between resistant and susceptible accessions post inoculation with Pst at different times. These candidate genes could be experimentally transformed to validate and manipulate fungal resistance, which is beneficial for the development of the wheat cultivars resistant to stripe rust.
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Affiliation(s)
- Liang Qiao
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Xue Gao
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Zhiqiang Jia
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Xingchen Liu
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Huiyutang Wang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Yixi Kong
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Peng Qin
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China
| | - Baoju Yang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China.
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Wu Y, Shi H, Yu H, Ma Y, Hu H, Han Z, Zhang Y, Zhen Z, Yi L, Hou J. Combined GWAS and Transcriptome Analyses Provide New Insights Into the Response Mechanisms of Sunflower Against Drought Stress. FRONTIERS IN PLANT SCIENCE 2022; 13:847435. [PMID: 35592557 PMCID: PMC9111542 DOI: 10.3389/fpls.2022.847435] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 03/31/2022] [Indexed: 05/25/2023]
Abstract
Sunflower is one of the most important oil crops in the world, and drought stress can severely limit its production and quality. To understand the underlying mechanism of drought tolerance, and identify candidate genes for drought tolerance breeding, we conducted a combined genome-wide association studies (GWAS) and RNA-seq analysis. A total of 226 sunflower inbred lines were collected from different regions of China and other countries. Eight phenotypic traits were evaluated under control and drought stress conditions. Genotyping was performed using a Specific-Locus Amplified Fragment Sequencing (SLAF-seq) approach. A total of 934.08 M paired-end reads were generated, with an average Q30 of 91.97%. Based on the 243,291 polymorphic SLAF tags, a total of 94,162 high-quality SNPs were identified. Subsequent analysis of linkage disequilibrium (LD) and population structure in the 226 accessions was carried out based on the 94,162 high-quality SNPs. The average LD decay across the genome was 20 kb. Admixture analysis indicated that the entire population most likely originated from 11 ancestors. GWAS was performed using three methods (MLM, FarmCPU, and BLINK) simultaneously. A total of 80 SNPs showed significant associations with the 8 traits (p < 1.062 × 10-6). Next, a total of 118 candidate genes were found. To obtain more reliable candidate genes, RNA-seq analysis was subsequently performed. An inbred line with the highest drought tolerance was selected according to phenotypic traits. RNA was extracted from leaves at 0, 7, and 14 days of drought treatment. A total of 18,922 differentially expressed genes were obtained. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis showed up-regulated genes were mainly enriched in the branched-chain amino acid catabolic process, while the down-regulated genes were mainly enriched in the photosynthesis-related process. Six DEGs were randomly selected from all DEGs for validation; these genes showed similar patterns in RNA-seq and RT-qPCR analysis, with a correlation coefficient of 0.8167. Through the integration of the genome-wide association study and the RNA-sequencing, 14 candidate genes were identified. Four of them (LOC110885273, LOC110872899, LOC110891369, LOC110920644) were abscisic acid related protein kinases and transcription factors. These genes may play an important role in sunflower drought response and will be used for further study. Our findings provide new insights into the response mechanisms of sunflowers against drought stress and contribute to further genetic breeding.
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Affiliation(s)
- Yang Wu
- College of Agricultural, Inner Mongolia Agricultural University, Hohhot, China
| | - Huimin Shi
- College of Agricultural, Inner Mongolia Agricultural University, Hohhot, China
| | - Haifeng Yu
- Institute of Crop Breeding and Cultivation, Inner Mongolia Academy of Agricultural and Husbandry Sciences, Hohhot, China
| | - Yu Ma
- Institute of Crop Breeding and Cultivation, Inner Mongolia Academy of Agricultural and Husbandry Sciences, Hohhot, China
| | - Haibo Hu
- College of Agricultural, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhigang Han
- Institute of Crop Breeding and Cultivation, Inner Mongolia Academy of Agricultural and Husbandry Sciences, Hohhot, China
| | - Yonghu Zhang
- Institute of Crop Breeding and Cultivation, Inner Mongolia Academy of Agricultural and Husbandry Sciences, Hohhot, China
| | - Zilong Zhen
- College of Agricultural, Inner Mongolia Agricultural University, Hohhot, China
| | - Liuxi Yi
- College of Agricultural, Inner Mongolia Agricultural University, Hohhot, China
| | - Jianhua Hou
- College of Agricultural, Inner Mongolia Agricultural University, Hohhot, China
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Chatzinakos C, Lee D, Cai N, Vladimirov VI, Webb BT, Riley BP, Flint J, Kendler KS, Ressler KJ, Daskalakis NP, Bacanu S. Increasing the resolution and precision of psychiatric genome-wide association studies by re-imputing summary statistics using a large, diverse reference panel. Am J Med Genet B Neuropsychiatr Genet 2021; 186:16-27. [PMID: 33576176 PMCID: PMC8247874 DOI: 10.1002/ajmg.b.32834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 11/24/2020] [Accepted: 12/14/2020] [Indexed: 12/30/2022]
Abstract
Genotype imputation across populations of mixed ancestry is critical for optimal discovery in large-scale genome-wide association studies (GWAS). Methods for direct imputation of GWAS summary-statistics were previously shown to be practically as accurate as summary statistics produced after raw genotype imputation, while incurring orders of magnitude lower computational burden. Given that direct imputation needs a precise estimation of linkage-disequilibrium (LD) and that most of the methods using a small reference panel for example, ~2,500-subject coming from the 1000 Genome-Project, there is a great need for much larger and more diverse reference panels. To accurately estimate the LD needed for an exhaustive analysis of any cosmopolitan cohort, we developed DISTMIX2. DISTMIX2: (a) uses a much larger and more diverse reference panel compared to traditional reference panels, and (b) can estimate weights of ethnic-mixture based solely on Z-scores, when allele frequencies are not available. We applied DISTMIX2 to GWAS summary-statistics from the psychiatric genetic consortium (PGC). DISTMIX2 uncovered signals in numerous new regions, with most of these findings coming from the rarer variants. Rarer variants provide much sharper location for the signals compared with common variants, as the LD for rare variants extends over a lower distance than for common ones. For example, while the original PGC post-traumatic stress disorder GWAS found only 3 marginal signals for common variants, we now uncover a very strong signal for a rare variant in PKN2, a gene associated with neuronal and hippocampal development. Thus, DISTMIX2 provides a robust and fast (re)imputation approach for most psychiatric GWAS-studies.
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Affiliation(s)
- Chris Chatzinakos
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
- Stanley Center for Psychiatric ResearchBroad Institute of MIT and HarvardCambridgeMAUSA
| | - Donghyung Lee
- Department of StatisticsMiami UniversityOxfordOhioUSA
| | - Na Cai
- Translational Genetics GroupHelmholtz InstituteMunichGermany
| | | | - Bradley T. Webb
- Department of PsychiatryVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Brien P. Riley
- Department of PsychiatryVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Jonathan Flint
- Center for Neurobehavioral GeneticsSemel Institute for Neuroscience and Human Behavior, University of CaliforniaLos AngelesCaliforniaUSA
| | - Kenneth S. Kendler
- Department of PsychiatryVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Kerry J. Ressler
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Nikolaos P. Daskalakis
- Department of Psychiatry, McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
- Stanley Center for Psychiatric ResearchBroad Institute of MIT and HarvardCambridgeMAUSA
| | - Silviu‐Alin Bacanu
- Department of PsychiatryVirginia Commonwealth UniversityRichmondVirginiaUSA
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Zhang X, Ehrlich KC, Yu F, Hu X, Meng XH, Deng HW, Shen H, Ehrlich M. Osteoporosis- and obesity-risk interrelationships: an epigenetic analysis of GWAS-derived SNPs at the developmental gene TBX15. Epigenetics 2020; 15:728-749. [PMID: 31975641 PMCID: PMC7574382 DOI: 10.1080/15592294.2020.1716491] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
A major challenge in translating findings from genome-wide association studies (GWAS) to biological mechanisms is pinpointing functional variants because only a very small percentage of variants associated with a given trait actually impact the trait. We used an extensive epigenetics, transcriptomics, and genetics analysis of the TBX15/WARS2 neighbourhood to prioritize this region's best-candidate causal variants for the genetic risk of osteoporosis (estimated bone density, eBMD) and obesity (waist-hip ratio or waist circumference adjusted for body mass index). TBX15 encodes a transcription factor that is important in bone development and adipose biology. Manual curation of 692 GWAS-derived variants gave eight strong candidates for causal SNPs that modulate TBX15 transcription in subcutaneous adipose tissue (SAT) or osteoblasts, which highly and specifically express this gene. None of these SNPs were prioritized by Bayesian fine-mapping. The eight regulatory causal SNPs were in enhancer or promoter chromatin seen preferentially in SAT or osteoblasts at TBX15 intron-1 or upstream. They overlap strongly predicted, allele-specific transcription factor binding sites. Our analysis suggests that these SNPs act independently of two missense SNPs in TBX15. Remarkably, five of the regulatory SNPs were associated with eBMD and obesity and had the same trait-increasing allele for both. We found that WARS2 obesity-related SNPs can be ascribed to high linkage disequilibrium with TBX15 intron-1 SNPs. Our findings from GWAS index, proxy, and imputed SNPs suggest that a few SNPs, including three in a 0.7-kb cluster, act as causal regulatory variants to fine-tune TBX15 expression and, thereby, affect both obesity and osteoporosis risk.
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Affiliation(s)
- Xiao Zhang
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA
| | - Kenneth C Ehrlich
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA
| | - Fangtang Yu
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA
| | - Xiaojun Hu
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.,Department of Orthopedics, People's Hospital of Rongchang District , Chongqing, China
| | - Xiang-He Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University , Changsha, Hunan, China
| | - Hong-Wen Deng
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA
| | - Hui Shen
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA
| | - Melanie Ehrlich
- Tulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.,Tulane Cancer Center, Hayward Human Genetics Program, Tulane University Health Sciences , New Orleans, LA, USA
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