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Updated: Jul 15, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Genetic inheritance of gene expression in human cell lines
S A Monks1, A Leonardson, H Zhu
1Department of Statistics, Oklahoma State University, Stillwater, OK 74078-1056, USA. stephanie.monks@okstate.edu
This study surveyed gene expression heritability in human populations, finding significant heritability in 31% of expressed genes and identifying quantitative trait loci (QTLs) for 33 genes, offering insights into complex trait genetics.
Area of Science:
- Human genetics
- Systems biology
- Genomics
Background:
- Combining genetic inheritance with molecular profiles and complex traits is key for identifying quantitative trait loci (QTLs) and understanding gene regulation.
- Assessing the heritability of gene expression in human populations is a crucial first step in applying this approach to human complex traits.
Purpose of the Study:
- To conduct the largest survey to date on the heritability of gene-expression traits in segregating human populations.
- To determine the feasibility of integrating genetic inheritance information for molecular profiles and complex traits in humans.
Main Methods:
- Gene expression was measured for 23,499 genes in lymphoblastoid cell lines from 15 Centre d'Etude du Polymorphisme Humain (CEPH) families.
- Heritability was assessed for expressed genes using a false-discovery rate of 0.05.
- Quantitative trait loci (QTLs) were detected, and hierarchical clustering was performed based on gene expression and genetic correlation.
Main Results:
- Of 2,340 expressed genes, 31% showed significant heritability.
- QTLs were identified for 33 genes, with 13 located within 5 Mb of their physical location.
- Clustering based on genetic correlation revealed greater pathway coherence in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways compared to Pearson correlation.
Conclusions:
- A significant proportion of gene-expression traits in humans are heritable.
- Genetic correlation provides a powerful approach for identifying biologically relevant gene networks and pathways.
- Integrating genetic correlation and QTL data holds promise for uncovering genetic underpinnings of complex traits.
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