Causal associations between risk factors and common diseases inferred from GWAS summary data

doi:10.1038/s41467-017-02317-2

科研成果详情

题名	Causal associations between risk factors and common diseases inferred from GWAS summary data
作者	Zhu, Zhihong 1; Zheng, Zhili1,2; Zhang, Futao 1; Wu, Yang 1; Trzaskowski, Maciej 1; Maier, Robert 1; Robinson, Matthew R.1; McGrath, John J.3,4,5; Visscher, Peter M.1,3; Wray, Naomi R.1,3; Yang, Jian 1,3
发表日期	2018-01-15
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	BODY-MASS INDEX ; TYPE-2 DIABETES-MELLITUS ; GENOME-WIDE ASSOCIATION ; CORONARY-HEART-DISEASE ; MENDELIAN RANDOMIZATION ; MACULAR DEGENERATION ; LIFE-STYLE ; AGE ; EPIDEMIOLOGY ; INSTRUMENTS
摘要	Health risk factors such as body mass index (BMI) and serum cholesterol are associated with many common diseases. It often remains unclear whether the risk factors are cause or consequence of disease, or whether the associations are the result of confounding. We develop and apply a method (called GSMR) that performs a multi-SNP Mendelian randomization analysis using summary-level data from genome-wide association studies to test the causal associations of BMI, waist-to-hip ratio, serum cholesterols, blood pressures, height, and years of schooling (EduYears) with common diseases (sample sizes of up to 405,072). We identify a number of causal associations including a protective effect of LDL-cholesterol against type-2 diabetes (T2D) that might explain the side effects of statins on T2D, a protective effect of EduYears against Alzheimer's disease, and bidirectional associations with opposite effects (e.g., higher BMI increases the risk of T2D but the effect of T2D on BMI is negative).
资助项目	Australian Research CouncilAustralian Research Council [DP160101343]; Australian National Health and Medical Research CouncilNational Health and Medical Research Council of Australia [1107258, 1078901, 1078037, 1056929, 1048853, 1113400]; Sylvia & Charles Viertel Charitable Foundation; Danish National Research FoundationDanmarks Grundforskningsfond; Lundbeck FoundationLundbeckfonden [R248-2017-2003, R155-2014-1724] Funding Source: researchfish
出版者	NATURE PUBLISHING GROUP
出版地	LONDON
ISSN	2041-1723
卷号	9 期号:1 页码:224
DOI	10.1038/s41467-017-02317-2
页数	12
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
WOS记录号	WOS:000422647600021
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	29335400
PMC记录号	PMC5768719
SCOPUSEID	2-s2.0-85040786442
ESI高被引论文	2020-01 ; 2020-03 ; 2020-05 ; 2020-09 ; 2020-11 ; 2021-01 ; 2021-03 ; 2021-05 ; 2021-07 ; 2021-09 ; 2021-11 ; 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 ; 2024-07 ; 2024-09
自科自定义期刊分类	T2(B)类
通讯作者地址	[Yang, Jian]Institute for Molecular Bioscience,University of Queensland,Brisbane,4072,Australia
Scopus学科分类	Chemistry (all);Biochemistry, Genetics and Molecular Biology (all);Physics and Astronomy (all)
TOP期刊	TOP期刊
引用统计	被引频次：344[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/10047
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	Yang, Jian
作者单位	1.Institute for Molecular Bioscience,University of Queensland,Brisbane,4072,Australia; 2.Eye Hospital,School of Ophthalmology and Optometry,Wenzhou Medical University,Wenzhou, Zhejiang,325027,China; 3.Queensland Brain Institute,University of Queensland,Brisbane,4072,Australia; 4.Queensland Centre for Mental Health Research,Park Centre for Mental Health,Wacol,4072,Australia; 5.National Centre for Register-Based Research,Aarhus University,Aarhus C,8000,Denmark
推荐引用方式 GB/T 7714	Zhu, Zhihong,Zheng, Zhili,Zhang, Futao,et al. Causal associations between risk factors and common diseases inferred from GWAS summary data[J]. NATURE COMMUNICATIONS,2018,9(1):224.
APA	Zhu, Zhihong., Zheng, Zhili., Zhang, Futao., Wu, Yang., Trzaskowski, Maciej., ... & Yang, Jian. (2018). Causal associations between risk factors and common diseases inferred from GWAS summary data. NATURE COMMUNICATIONS, 9(1), 224.
MLA	Zhu, Zhihong,et al."Causal associations between risk factors and common diseases inferred from GWAS summary data".NATURE COMMUNICATIONS 9.1(2018):224.