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The Genetic Architecture of Gene Expression in Peripheral Blood.
Lloyd-Jones, Luke R; Holloway, Alexander; McRae, Allan; Yang, Jian; Small, Kerrin; Zhao, Jing; Zeng, Biao; Bakshi, Andrew; Metspalu, Andres; Dermitzakis, Manolis; Gibson, Greg; Spector, Tim; Montgomery, Grant; Esko, Tonu; Visscher, Peter M; Powell, Joseph E.
Afiliação
  • Lloyd-Jones LR; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: l.lloydjones@uq.edu.au.
  • Holloway A; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia.
  • McRae A; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia.
  • Yang J; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia.
  • Small K; Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
  • Zhao J; School of Biology and Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Zeng B; School of Biology and Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Bakshi A; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia.
  • Metspalu A; Estonian Genome Center, University of Tartu, Tartu 51010, Estonia.
  • Dermitzakis M; Department of Genetic Medicine and Development, University of Geneva, Geneva 1211, Switzerland.
  • Gibson G; School of Biology and Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Spector T; Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
  • Montgomery G; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia.
  • Esko T; Estonian Genome Center, University of Tartu, Tartu 51010, Estonia.
  • Visscher PM; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia.
  • Powell JE; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia; Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: joseph.powell@uq.edu.au.
Am J Hum Genet ; 100(2): 228-237, 2017 02 02.
Article em En | MEDLINE | ID: mdl-28065468
ABSTRACT
We analyzed the mRNA levels for 36,778 transcript expression traits (probes) from 2,765 individuals to comprehensively investigate the genetic architecture and degree of missing heritability for gene expression in peripheral blood. We identified 11,204 cis and 3,791 trans independent expression quantitative trait loci (eQTL) by using linear mixed models to perform genome-wide association analyses. Furthermore, using information on both closely and distantly related individuals, heritability was estimated for all expression traits. Of the set of expressed probes (15,966), 10,580 (66%) had an estimated narrow-sense heritability (h2) greater than zero with a mean (median) value of 0.192 (0.142). Across these probes, on average the proportion of genetic variance explained by all eQTL (hCOJO2) was 31% (0.060/0.192), meaning that 69% is missing, with the sentinel SNP of the largest eQTL explaining 87% (0.052/0.060) of the variance attributed to all identified cis- and trans-eQTL. For the same set of probes, the genetic variance attributed to genome-wide common (MAF > 0.01) HapMap 3 SNPs (hg2) accounted for on average 48% (0.093/0.192) of h2. Taken together, the evidence suggests that approximately half the genetic variance for gene expression is not tagged by common SNPs, and of the variance that is tagged by common SNPs, a large proportion can be attributed to identifiable eQTL of large effect, typically in cis. Finally, we present evidence that, compared with a meta-analysis, using individual-level data results in an increase of approximately 50% in power to detect eQTL.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Mensageiro / Expressão Gênica / Padrões de Herança / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Am J Hum Genet Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Mensageiro / Expressão Gênica / Padrões de Herança / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Am J Hum Genet Ano de publicação: 2017 Tipo de documento: Article