生物
遗传学
表型
疾病
关贸总协定3
自身免疫
转录因子
等位基因
单核苷酸多态性
基因
前列腺癌
增强子
遗传建筑学
关节炎
免疫学
癌症
基因型
内科学
医学
抗体
作者
John B. Harley,Xiaoting Chen,Mario Pujato,Daniel Miller,Avery Maddox,Carmy Forney,Albert F. Magnusen,Arthur Lynch,Kashish Chetal,Masashi Yukawa,Artem Barski,Nathan Salomonis,Kenneth M. Kaufman,Leah C. Kottyan,Matthew T. Weirauch
出处
期刊:Nature Genetics
[Springer Nature]
日期:2018-04-13
卷期号:50 (5): 699-707
被引量:307
标识
DOI:10.1038/s41588-018-0102-3
摘要
Explaining the genetics of many diseases is challenging because most associations localize to incompletely characterized regulatory regions. Using new computational methods, we show that transcription factors (TFs) occupy multiple loci associated with individual complex genetic disorders. Application to 213 phenotypes and 1,544 TF binding datasets identified 2,264 relationships between hundreds of TFs and 94 phenotypes, including androgen receptor in prostate cancer and GATA3 in breast cancer. Strikingly, nearly half of systemic lupus erythematosus risk loci are occupied by the Epstein-Barr virus EBNA2 protein and many coclustering human TFs, showing gene-environment interaction. Similar EBNA2-anchored associations exist in multiple sclerosis, rheumatoid arthritis, inflammatory bowel disease, type 1 diabetes, juvenile idiopathic arthritis and celiac disease. Instances of allele-dependent DNA binding and downstream effects on gene expression at plausibly causal variants support genetic mechanisms dependent on EBNA2. Our results nominate mechanisms that operate across risk loci within disease phenotypes, suggesting new models for disease origins.
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