期刊
NATURE GENETICS
卷 49, 期 1, 页码 139-145出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/ng.3737
关键词
-
资金
- BBMRI-NL
- Dutch government [NWO 184.021.007]
- SURF Cooperative
- Groningen Center for Information Technology
- Target storage
- Samenwerkingsverband Noord Nederland
- European Fund for Regional Development
- Dutch Ministry of Economic Affairs
- Pieken in de Delta
- province of Groningen
- European Research Council [637640]
- Erasmus Medical Center, Rotterdam
- Netherlands Organization for Health Research and Development (ZonMw)
- Research Institute for Diseases in the Elderly (RIDE)
- Ministry of Education, Culture and Science
- Ministry for Health, Welfare and Sports
- Netherlands Organization for Scientific Research NWO Investments [175.010.2005.011, 911-03-012]
- Research Institute for Diseases in the Elderly [014-93-015]
- Netherlands Genomics Initiative (NGI)/Netherlands Organization for Scientific Research (NWO) [050-060-810]
- NWO [863.13.011]
- Top Institute of Food and Nutrition [TiFN GH0001]
- ERC advanced grant (FP/ERC) [2012-322698]
- Spinoza prize [NWO SPI 92-266]
- province of Drenthe
- Erasmus University, Rotterdam
- the European Commission (DG XII)
- municipality of Rotterdam
Genetic risk factors often localize to noncoding regions of the genome with unknown effects on disease etiology1,2. Expression quantitative trait loci (eQTLs) help to explain the regulatory mechanisms underlying these genetic associations(3-6). Knowledge of the context that determines the nature and strength of eQTLs may help identify cell types relevant to pathophysiology and the regulatory networks underlying disease(7-17). Here we generated peripheral blood RNA-seq data from 2,116 unrelated individuals and systematically identified context-dependent eQTLs using a hypothesis-free strategy that does not require previous knowledge of the identity of the modifiers. Of the 23,060 significant cis-regulated genes (false discovery rate (FDR) <= 0.05), 2,743 (12%) showed context-dependent eQTL effects. The majority of these effects were influenced by cell type composition. A set of 145 cis-eQTLs depended on type I interferon signaling. Others were modulated by specific transcription factors binding to the eQTL SNPs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据