A tissue-level phenome-wide network map of colocalized genes and phenotypes in the UK Biobank

被引:0
|
作者
Ghislain Rocheleau
Iain S. Forrest
Áine Duffy
Shantanu Bafna
Amanda Dobbyn
Marie Verbanck
Hong-Hee Won
Daniel M. Jordan
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,Department of Genetics and Genomic Sciences
[3] Icahn School of Medicine at Mount Sinai,Medical Scientist Training Program
[4] Icahn School of Medicine at Mount Sinai,Pamela Sklar Division of Psychiatric Genomics
[5] Université de Paris,UR 7537 – BioSTM, Biostatistique, Traitement et Modélisation des données biologiques, Faculté de Pharmacie de Paris
[6] Sungkyunkwan University,Samsung Advanced Institute for Health Sciences and Technology (SAIHST)
[7] Samsung Medical Center,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Phenome-wide association studies identified numerous loci associated with traits and diseases. To help interpret these associations, we constructed a phenome-wide network map of colocalized genes and phenotypes. We generated colocalized signals using the Genotype-Tissue Expression data and genome-wide association results in UK Biobank. We identified 9151 colocalized genes for 1411 phenotypes across 48 tissues. Then, we constructed bipartite networks using the colocalized signals in each tissue, and showed that the majority of links were observed in a single tissue. We applied the biLouvain clustering algorithm in each tissue-specific network to identify co-clusters of genes and phenotypes. We observed significant enrichments of these co-clusters with known biological and functional gene classes. Overall, the phenome-wide map provides links between genes, phenotypes and tissues, and can yield biological and clinical discoveries.
引用
收藏
相关论文
共 50 条
  • [1] A tissue-level phenome-wide network map of colocalized genes and phenotypes in the UK Biobank
    Rocheleau, Ghislain
    Forrest, Iain S.
    Duffy, Aine
    Bafna, Shantanu
    Dobbyn, Amanda
    Verbanck, Marie
    Won, Hong-Hee
    Jordan, Daniel M.
    Do, Ron
    COMMUNICATIONS BIOLOGY, 2022, 5 (01)
  • [2] Phenome-wide heritability analysis of the UK Biobank
    Ge, Tian
    Chen, Chia-Yen
    Neale, Benjamin M.
    Sabuncu, Mert R.
    Smoller, Jordan W.
    PLOS GENETICS, 2017, 13 (04):
  • [3] Phenome-wide Burden of Copy-Number Variation in the UK Biobank
    Aguirre, Matthew
    Rivas, Manuel A.
    Priest, James
    AMERICAN JOURNAL OF HUMAN GENETICS, 2019, 105 (02) : 373 - 383
  • [4] Cerebral Small Vessel Disease As A Multisystem Disorder - A Phenome-Wide Association Study Of Clinical Phenotypes In Uk Biobank
    Kancheva, A.
    Lyall, D.
    Millard, L.
    Wardlaw, J.
    Quinn, T.
    INTERNATIONAL JOURNAL OF STROKE, 2024, 19 (3_SUPPL) : 8 - 8
  • [5] Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank
    Matthew T. Patrick
    Redina Bardhi
    Wei Zhou
    James T. Elder
    Johann E. Gudjonsson
    Lam C. Tsoi
    Genome Medicine, 14
  • [6] Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank
    Patrick, Matthew T.
    Bardhi, Redina
    Zhou, Wei
    Elder, James T.
    Gudjonsson, Johann E.
    Tsoi, Lam C.
    GENOME MEDICINE, 2022, 14 (01)
  • [7] Genetic correlations between ADHD and phenome-wide latent factors in the UK Biobank
    Carey, Caitlin
    Shafee, Rebecca
    Walters, Raymond
    Palmer, Duncan
    Abbott, Liam
    Howrigan, Daniel
    Churchhouse, Claire
    Neale, Ben
    Robinson, Elise
    BEHAVIOR GENETICS, 2019, 49 (06) : 514 - 514
  • [8] Phenome-wide association study on miRNA-related sequence variants: the UK Biobank
    Mustafa, Rima
    Ghanbari, Mohsen
    Karhunen, Ville
    Evangelou, Marina
    Dehghan, Abbas
    HUMAN GENOMICS, 2023, 17 (01)
  • [9] The CADM2 Gene and Behavior: A Phenome-Wide Scan in UK-Biobank
    Pasman, Joelle A.
    Chen, Zeli
    Smit, Dirk J. A.
    Vink, Jacqueline M.
    Van Den Oever, Michel C.
    Pattij, Tommy
    De Vries, Taco J.
    Abdellaoui, Abdel
    Verweij, Karin J. H.
    BEHAVIOR GENETICS, 2022, 52 (4-5) : 306 - 314
  • [10] A PHENOME-WIDE ASSOCIATION AND MENDELIAN RANDOMISATION STUDY OF POLYGENIC RISK FOR DEPRESSION IN UK BIOBANK
    Shen, Xueyi
    Howard, David
    Adams, Mark
    Deary, Ian
    Whalley, Heather
    McIntosh, Andrew
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2019, 29 : S88 - S88