Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk

被引:0
|
作者
Kira A. Perzel Mandell
Nicholas J. Eagles
Richard Wilton
Amanda J. Price
Stephen A. Semick
Leonardo Collado-Torres
William S. Ulrich
Ran Tao
Shizhong Han
Alexander S. Szalay
Thomas M. Hyde
Joel E. Kleinman
Daniel R. Weinberger
Andrew E. Jaffe
机构
[1] Johns Hopkins Medical Campus,Lieber Institute for Brain Development
[2] Johns Hopkins University School of Medicine (JHSOM),Department of Genetic Medicine
[3] Johns Hopkins University,Department of Physics and Astronomy
[4] JHSOM,Department of Psychiatry and Behavioral Sciences
[5] JHSOM,Department of Computer Science
[6] JHSOM,Department of Neurology
[7] JHSOM,Department of Neuroscience
[8] Johns Hopkins Bloomberg School of Public Health (JHBSPH),Department of Mental Health
[9] JHBSPH,Department of Biostatistics
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
DNA methylation (DNAm) is an epigenetic regulator of gene expression and a hallmark of gene-environment interaction. Using whole-genome bisulfite sequencing, we have surveyed DNAm in 344 samples of human postmortem brain tissue from neurotypical subjects and individuals with schizophrenia. We identify genetic influence on local methylation levels throughout the genome, both at CpG sites and CpH sites, with 86% of SNPs and 55% of CpGs being part of methylation quantitative trait loci (meQTLs). These associations can further be clustered into regions that are differentially methylated by a given SNP, highlighting the genes and regions with which these loci are epigenetically associated. These findings can be used to better characterize schizophrenia GWAS-identified variants as epigenetic risk variants. Regions differentially methylated by schizophrenia risk-SNPs explain much of the heritability associated with risk loci, despite covering only a fraction of the genomic space. We provide a comprehensive, single base resolution view of association between genetic variation and genomic methylation, and implicate schizophrenia GWAS-associated variants as influencing the epigenetic plasticity of the brain.
引用
收藏
相关论文
共 50 条
  • [11] Genome-wide expression quantitative trait loci analysis in asthma
    Bosse, Yohan
    CURRENT OPINION IN ALLERGY AND CLINICAL IMMUNOLOGY, 2013, 13 (05) : 487 - 494
  • [12] A genome-wide search for quantitative trait loci underlying asthma
    Daniels, SE
    Bhattacharrya, S
    James, A
    Leaves, NI
    Young, A
    Hill, MR
    Faux, JA
    Ryan, GF
    leSouef, PN
    Lathrop, GM
    Musk, AW
    Cookson, WOCM
    NATURE, 1996, 383 (6597) : 247 - 250
  • [14] Sequencing-based genome-wide association study in rice
    Han, Bin
    Huang, Xuehui
    CURRENT OPINION IN PLANT BIOLOGY, 2013, 16 (02) : 133 - 138
  • [15] Powerful Identification of Large Quantitative Trait Loci Using Genome-Wide R/glmnet-Based Regression
    Yang, Li'ang
    Qu, Qiannan
    Hao, Zhiyu
    Sha, Ke
    Li, Ziyu
    Li, Shuling
    JOURNAL OF HEREDITY, 2022, 113 (04) : 472 - 478
  • [16] Genome-Wide Identification of Splicing Quantitative Trait Loci (sQTLs) in Diverse Ecotypes of Arabidopsis thaliana
    Khokhar, Waqas
    Hassan, Musa A.
    Reddy, Anireddy S. N.
    Chaudhary, Saurabh
    Jabre, Ibtissam
    Byrne, Lee J.
    Syed, Naeem H.
    FRONTIERS IN PLANT SCIENCE, 2019, 10
  • [17] Identification, deployment, and transferability of quantitative trait loci from genome-wide association studies in plants
    Mohammadi, Mohsen
    Xavier, Alencar
    Beckett, Travis
    Beyer, Savannah
    Chen, Liyang
    Chikssa, Habte
    Cross, Valerie
    Moreira, Fabiana Freitas
    French, Elizabeth
    Gaire, Rupesh
    Griebel, Stefanie
    Lopez, Miguel Angel
    Prather, Samuel
    Russell, Blake
    Wang, Weidong
    CURRENT PLANT BIOLOGY, 2020, 24
  • [18] A combined strategy for quantitative trait loci detection by genome-wide association
    Alex C Lam
    Joseph Powell
    Wen-Hua Wei
    Dirk-Jan de Koning
    Chris S Haley
    BMC Proceedings, 3 (Suppl 1)
  • [19] Genome-wide expression quantitative trait loci (eQTL) analysis in maize
    Holloway, Beth
    Luck, Stanley
    Beatty, Mary
    Rafalski, J-Antoni
    Li, Bailin
    BMC GENOMICS, 2011, 12
  • [20] Genome-wide expression quantitative trait loci (eQTL) analysis in maize
    Beth Holloway
    Stanley Luck
    Mary Beatty
    J-Antoni Rafalski
    Bailin Li
    BMC Genomics, 12