title: A systematic heritability analysis of the human whole blood transcriptome.
abstract: Genome-wide expression quantitative trait locus (eQTL) mapping may reveal common genetic variants regulating gene expression. In addition to mapping eQTLs, we systematically evaluated the heritability of the whole blood transcriptome in 5,626 participants from the Framingham Heart Study. Of all gene expression measurements, about 40 % exhibit evidence of being heritable [hgeneExp(2) > 0, (p < 0.05)], the average heritability was estimated to be 0.13, and 10 % display hgeneExp(2) > 0.2. To identify the role of eQTLs in promoting phenotype differences and disease susceptibility, we investigated the proportion of cis/trans eQTLs in different heritability categories and discovered that genes with higher heritability are more likely to have cis eQTLs that explain large proportions of variance in the expression of the corresponding genes. Single cis eQTLs explain 0.33-0.53 of variance in transcripts on average, whereas single trans eQTLs only explain 0.02-0.07. The top cis eQTLs tend to explain more variance in the corresponding gene when its hgeneExp(2) is greater. Taking body mass index (BMI) as a case study, we cross-linked cis/trans eQTLs with both GWAS SNPs and differentially expressed genes for BMI. We discovered that BMI GWAS SNPs in 16p11.2 (e.g., rs7359397) are associated with several BMI differentially expressed genes in a cis manner (e.g. SULT1A1, SPNS1, and TUFM). These BMI signature genes explain a much larger proportion of variance in BMI than do the GWAS SNPs. Our results shed light on the impact of eQTLs on the heritability of the human whole blood transcriptome and its relations to phenotype differences.
authors.affiliation: Framingham Heart Study, Population Sciences Branch, National Heart, Lung and Blood Institute, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA, 01702, USA, huant@mail.nih.gov.
authors.forename: Tianxiao
authors.initials: T
authors.lastname: Huan
authors.forename: Chunyu
authors.initials: C
authors.lastname: Liu
authors.forename: Roby
authors.initials: R
authors.lastname: Joehanes
authors.forename: Xiaoling
authors.initials: X
authors.lastname: Zhang
authors.forename: Brian H
authors.initials: BH
authors.lastname: Chen
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Johnson
authors.forename: Chen
authors.initials: C
authors.lastname: Yao
authors.forename: Paul
authors.initials: P
authors.lastname: Courchesne
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: O'Donnell
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Munson
authors.forename: Daniel
authors.initials: D
authors.lastname: Levy
mesh_terms: D000328:Adult; D000368:Aged; D015992:Body Mass Index; D005260:Female; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci; D012333:RNA, Messenger / Q000097:blood / Q000235:genetics; D059467:Transcriptome
chemical_list: D012333:RNA, Messenger