Abstract

Insights into individual differences in gene expression and its heritability (h2) can help in understanding pathways from DNA to phenotype. We estimated the heritability of gene expression of 52,844 genes measured in whole blood in the largest twin RNA-Seq sample to date (1497 individuals including 459 monozygotic twin pairs and 150 dizygotic twin pairs) from classical twin modeling and identity-by-state-based approaches. We estimated for each gene h2total, composed of cis-heritability (h2cis, the variance explained by single nucleotide polymorphisms in the cis-window of the gene), and trans-heritability (h2res, the residual variance explained by all other genome-wide variants). Mean h2total was 0.26, which was significantly higher than heritability estimates earlier found in a microarray-based study using largely overlapping (>60%) RNA samples (mean h2 = 0.14, p = 6.15 × 10-258). Mean h2cis was 0.06 and strongly correlated with beta of the top cis expression quantitative loci (eQTL, ρ = 0.76, p < 10-308) and with estimates from earlier RNA-Seq-based studies. Mean h2res was 0.20 and correlated with the beta of the corresponding trans-eQTL (ρ = 0.04, p < 1.89 × 10-3) and was significantly higher for genes involved in cytokine-cytokine interactions (p = 4.22 × 10-15), many other immune system pathways, and genes identified in genome-wide association studies for various traits including behavioral disorders and cancer. This study provides a thorough characterization of cis- and trans-h2 estimates of gene expression, which is of value for interpretation of GWAS and gene expression studies.

Overview publication

TitleA characterization of cis- and trans-heritability of RNA-Seq-based gene expression.
DateFebruary 1st, 2020
Issue nameEuropean journal of human genetics : EJHG
Issue numberv28.2:253-263
DOI10.1038/s41431-019-0511-5
PubMed31558840
AuthorsOuwens KG, Jansen R, Nivard MG, van Dongen J, Frieser MJ, Hottenga JJ, Arindrarto W, Claringbould A, van Iterson M, Mei H, Franke L, Heijmans BT, A C 't Hoen P, van Meurs J, Brooks AI, Penninx BWJH & Boomsma DI
InfoBIOS Consortium, Heijmans BT, A C 't Hoen P, van Meurs J, Isaacs A, Jansen R, Franke L, Boomsma DI, Pool R, van Dongen J, Hottenga JJ, van Greevenbroek MMJ, Stehouwer CDA, van der Kallen CJH, Schalkwijk CG, Wijmenga C, Franke L, Zhernakova S, Tigchelaar EF, Slagboom PE, Beekman M, Deelen J, van Heemst D, Veldink JH, van den Berg LH, van Duijn CM, Hofman BA, Isaacs A, Uitterlinden AG, van Meurs J, Jhamai PM, Verbiest M, Suchiman HED, Verkerk M, van der Breggen R, van Rooij J, Lakenberg N, Mei H, van Iterson M, van Galen M, Bot J, Zhernakova DV, Jansen R, Van't Hof P, Deelen P, Nooren I, A C 't Hoen P, Heijmans BT, Moed M, Franke L, Vermaat M, Zhernakova DV, Luijk R, Jan Bonder M, van Iterson M, Deelen P, van Dijk F, van Galen M, Arindrarto W, Kielbasa SM, Swertz MA, van Zwet EW, Jansen R, 't Hoen PB, Heijmans BT
Read Read publication