HOPS: a quantitative score reveals pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseases

被引:0
|
作者
Daniel M. Jordan
Marie Verbanck
Ron Do
机构
[1] Icahn School of Medicine at Mount Sinai,The Charles Bronfman Institute for Personalized Medicine
[2] Icahn School of Medicine at Mount Sinai,The Icahn Institute for Genomics and Multiscale Biology
[3] Icahn School of Medicine at Mount Sinai,Department of Genetics and Genomic Sciences
[4] Université de Paris,undefined
来源
关键词
Pleiotropy; Polygenicity; Genetic architecture; GWAS; Statistical method; R package;
D O I
暂无
中图分类号
学科分类号
摘要
Horizontal pleiotropy, where one variant has independent effects on multiple traits, is important for our understanding of the genetic architecture of human phenotypes. We develop a method to quantify horizontal pleiotropy using genome-wide association summary statistics and apply it to 372 heritable phenotypes measured in 361,194 UK Biobank individuals. Horizontal pleiotropy is pervasive throughout the human genome, prominent among highly polygenic phenotypes, and enriched in active regulatory regions. Our results highlight the central role horizontal pleiotropy plays in the genetic architecture of human phenotypes. The HOrizontal Pleiotropy Score (HOPS) method is available on Github at https://github.com/rondolab/HOPS.
引用
收藏
相关论文
共 6 条
  • [1] HOPS: a quantitative score reveals pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseases
    Jordan, Daniel M.
    Verbanck, Marie
    Do, Ron
    GENOME BIOLOGY, 2019, 20 (01)
  • [2] The landscape of pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseases
    Verbanck, M.
    Jordan, D. M.
    Do, R.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2019, 27 : 1115 - 1115
  • [3] Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases
    Masahiro Kanai
    Masato Akiyama
    Atsushi Takahashi
    Nana Matoba
    Yukihide Momozawa
    Masashi Ikeda
    Nakao Iwata
    Shiro Ikegawa
    Makoto Hirata
    Koichi Matsuda
    Michiaki Kubo
    Yukinori Okada
    Yoichiro Kamatani
    Nature Genetics, 2018, 50 : 390 - 400
  • [4] Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases
    Kanai, Masahiro
    Akiyama, Masato
    Takahashi, Atsushi
    Matoba, Nana
    Momozawa, Yukihide
    Ikeda, Masashi
    Iwata, Nakao
    Ikegawa, Shiro
    Hirata, Makoto
    Matsuda, Koichi
    Kubo, Michiaki
    Okada, Yukinori
    Kamatani, Yoichiro
    NATURE GENETICS, 2018, 50 (03) : 390 - +
  • [5] Immune-response 3′UTR alternative polyadenylation quantitative trait loci contribute to variation in human complex traits and diseases
    Li, Lei
    Ma, Xuelian
    Cui, Ya
    Rotival, Maxime
    Chen, Wenyan
    Zou, Xudong
    Ding, Ruofan
    Qin, Yangmei
    Wang, Qixuan
    Quintana-Murci, Lluis
    Li, Wei
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [6] Immune-response 3′UTR alternative polyadenylation quantitative trait loci contribute to variation in human complex traits and diseases
    Lei Li
    Xuelian Ma
    Ya Cui
    Maxime Rotival
    Wenyan Chen
    Xudong Zou
    Ruofan Ding
    Yangmei Qin
    Qixuan Wang
    Lluis Quintana-Murci
    Wei Li
    Nature Communications, 14