ArticleBMC genomics2014
Genome-wide eQTLs and heritability for gene expression traits in unrelated individuals.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- FastGxC: Fast and powerful context-specific eQTL mapping in bulk and single-cell data.Cell genomics · 2026Article
- Integrating selective signatures and Cis-eQTLs to prioritize candidate genes potentially related to milk production traits in dual-purpose cattle.Frontiers in veterinary science · 2026Article
- Hybrids reveal accessible chromatinbioRxiv : the preprint server for biology · 2025Article
- Estimating gene-level false discovery probability improves eQTL statistical fine-mapping precision.NAR genomics and bioinformatics · 2023Article
- Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis.Viruses · 2023Review
- Using machine learning to identify gene interaction networks associated with breast cancer.BMC cancer · 2022Article
- Article
- Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs.BMC genomics · 2019Article
- Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma.Cancer communications (London, England) · 2018Article
- Familial resemblances in human whole blood transcriptome.BMC genomics · 2018Article
- Genome-Wide Expression Quantitative Trait Loci Analysis Using Mixed Models.Frontiers in genetics · 2018Review
- Differential expression analysis for RNAseq using Poisson mixed models.Nucleic acids research · 2017Article
- Gene co-expression network connectivity is an important determinant of selective constraint.PLoS genetics · 2017Article
- DRD2 co-expression network and a related polygenic index predict imaging, behavioral and clinical phenotypes linked to schizophrenia.Translational psychiatry · 2017Article
- Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.BioMed research international · 2017Article
- Hybrid sterility and evolution in Hawaiian Drosophila: differential gene and allele-specific expression analysis of backcross males.Heredity · 2016Article
- Bayesian network reconstruction using systems genetics data: comparison of MCMC methods.Genetics · 2015Article
- Aberrant gene expression in humans.PLoS genetics · 2015Article
- Gene age predicts the strength of purifying selection acting on gene expression variation in humans.American journal of human genetics · 2014Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile the possible sources underlying the so-called 'missing heritability' evident in current genome-wide association studies (GWAS) of complex traits have been actively pursued in recent years, resolving this mystery remains a challenging task. Studying heritability of genome-wide gene expression traits can shed light on the goal of understanding the relationship between phenotype and genotype. Here we used microarray gene expression measurements of lymphoblastoid cell lines and genome-wide SNP genotype data from 210 HapMap individuals to examine the heritability of gene expression traits.
resultsHeritability levels for expression of 10,720 genes were estimated by applying variance component model analyses and 1,043 expression quantitative loci (eQTLs) were detected. Our results indicate that gene expression traits display a bimodal distribution of heritability, one peak close to 0% and the other summit approaching 100%. Such a pattern of the within-population variability of gene expression heritability is common among different HapMap populations of unrelated individuals but different from that obtained in the CEU and YRI trio samples. Higher heritability levels are shown by housekeeping genes and genes associated with cis eQTLs. Both cis and trans eQTLs make comparable cumulative contributions to the heritability. Finally, we modelled gene-gene interactions (epistasis) for genes with multiple eQTLs and revealed that epistasis was not prevailing in all genes but made a substantial contribution in explaining total heritability for some genes analysed.
conclusionsWe utilised a mixed effect model analysis for estimating genetic components from population based samples. On basis of analyses of genome-wide gene expression from four HapMap populations, we demonstrated detailed exploitation of the distribution of genetic heritabilities for expression traits from different populations, and highlighted the importance of studying interaction at the gene expression level as an important source of variation underlying missing heritability.
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