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题名Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
作者
发表期刊NATURE COMMUNICATIONS   影响因子和分区
语种英语
原始文献类型Article
其他关键词GENETIC ARCHITECTURE ; MISSING HERITABILITY ; SUSCEPTIBILITY LOCI ; RARE ; COMMON ; IDENTIFICATION ; GWAS ; METAANALYSIS ; DYSFUNCTION ; ACTIVATION
摘要Type 2 diabetes (T2D) is a very common disease in humans. Here we conduct a metaanalysis of genome-wide association studies (GWAS) with similar to 16 million genetic variants in 62,892 T2D cases and 596,424 controls of European ancestry. We identify 139 common and 4 rare variants associated with T2D, 42 of which (39 common and 3 rare variants) are independent of the known variants. Integration of the gene expression data from blood (n = 14,115 and 2765) with the GWAS results identifies 33 putative functional genes for T2D, 3 of which were targeted by approved drugs. A further integration of DNA methylation (n = 1980) and epigenomic annotation data highlight 3 genes (CAMK1D, TP53INP1, and ATP5G1) with plausible regulatory mechanisms, whereby a genetic variant exerts an effect on T2D through epigenetic regulation of gene expression. Our study uncovers additional loci, proposes putative genetic regulatory mechanisms for T2D, and provides evidence of purifying selection for T2D-associated variants.
资助项目Australian National Health and Medical Research CouncilNational Health and Medical Research Council of Australia [1107258, 1083656, 1078037, 1113400]; Australian Research CouncilAustralian Research Council [DP160101056, DP160103860, DP160102400]; US National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [R01 MH100141, P01 GM099568, R01 GM075091, R01 AG042568, R21 ES025052]; Sylvia & Charles Viertel Charitable Foundation; F.G. Meade Scholarship; University of QueenslandUniversity of Queensland; dbGaP [phs000674.v2.p2]; UK Biobank [12505]; NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCESUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Environmental Health Sciences (NIEHS) [R21ES025052] Funding Source: NIH RePORTER; NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of General Medical Sciences (NIGMS) [R01GM075091, P01GM099568] Funding Source: NIH RePORTER; NATIONAL INSTITUTE OF MENTAL HEALTHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [R01MH100141] Funding Source: NIH RePORTER; NATIONAL INSTITUTE ON AGINGUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Aging (NIA) [R01AG042568] Funding Source: NIH RePORTER
出版者NATURE PUBLISHING GROUP
出版地LONDON
ISSN2041-1723
卷号9期号:1页码:2941
DOI10.1038/s41467-018-04951-w
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
WOS记录号WOS:000439969600003
收录类别SCIE ; PUBMED ; SCOPUS
发表日期2018-07-27
URL查看原文
Pubmed记录号30054458
PMC记录号PMC6063971
Scopus记录号2-s2.0-85050718439
ESI高被引论文2021-05 ; 2021-07 ; 2021-09 ; 2022-01 ; 2022-03 ; 2022-07 ; 2022-09 ; 2022-11 ; 2023-01 ; 2023-03 ; 2023-05 ; 2023-07 ; 2023-09 ; 2023-11 ; 2024-01 ; 2024-03 ; 2024-05
自科自定义期刊分类T2(B)类
引用统计
被引频次:293[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/6996
专题眼视光学院(生物医学工程学院)、附属眼视光医院
通讯作者Zeng, Jian; Yang, Jian
作者单位
1.Univ Queensland, Inst Mol Biosci, Brisbane, Qld 4072, Australia;
2.Wenzhou Med Univ, Sch Ophthalmol & Optometry, Eye Hosp, Wenzhou 325027, Zhejiang, Peoples R China;
3.Univ Tartu, Inst Genom, Estonian Genome Ctr, EE-51010 Tartu, Estonia;
4.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia
通讯作者单位眼视光学院(生物医学工程学院)、附属眼视光医院
推荐引用方式
GB/T 7714
Xue, Angli,Wu, Yang,Zhu, Zhihong,et al. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes[J]. NATURE COMMUNICATIONS,2018,9(1):2941.
APA Xue, Angli., Wu, Yang., Zhu, Zhihong., Zhang, Futao., Kemper, Kathryn E.., ... & Yang, Jian. (2018). Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. NATURE COMMUNICATIONS, 9(1), 2941.
MLA Xue, Angli,et al."Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes".NATURE COMMUNICATIONS 9.1(2018):2941.

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