Abstract
Natural variation in gene expression is extensive in humans and other organisms, and variation in the baseline expression level of many genes has a heritable component. To localize the genetic determinants of these quantitative traits (expression phenotypes) in humans, we used microarrays to measure gene expression levels and performed genome-wide linkage analysis for expression levels of 3,554 genes in 14 large families. For approximately 1,000 expression phenotypes, there was significant evidence of linkage to specific chromosomal regions. Both cis- and trans-acting loci regulate variation in the expression levels of genes, although most act in trans. Many gene expression phenotypes are influenced by several genetic determinants. Furthermore, we found hotspots of transcriptional regulation where significant evidence of linkage for several expression phenotypes (up to 31) coincides, and expression levels of many genes that share the same regulatory region are significantly correlated. The combination of microarray techniques for phenotyping and linkage analysis for quantitative traits allows the genetic mapping of determinants that contribute to variation in human gene expression.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Oleksiak, M. F., Churchill, G. A. & Crawford, D. L. Variation in gene expression within and among natural populations. Nature Genet. 32, 261–266 (2002)
Brem, R. B., Yvert, G., Clinton, R. & Kruglyak, L. Genetic dissection of transcriptional regulation in budding yeast. Science 296, 752–755 (2002)
Yvert, G. et al. Trans-acting regulatory variation in Saccharomyces cerevisiae and the role of transcription factors. Nature Genet. 3, 57–64 (2003)
Yan, H., Yuan, W., Velculescu, V. E., Vogelstein, B. & Kinzler, K. W. Allelic variation in human gene expression. Science 297, 1143 (2002)
Schadt, E. E. et al. Genetics of gene expression surveyed in maize, mouse and man. Nature 422, 297–302 (2003)
Cheung, V. G. et al. Natural variation in human gene expression assessed in lymphoblastoid cells. Nature Genet. 33, 422–425 (2003)
Cheung, V. G. & Spielman, R. S. The genetics of variation in gene expression. Nature Genet. 32, 522–525 (2002)
Cheung, V. G. et al. Genetics of quantitative variation in human gene expression. Cold Spring Harb. Symp. Quant. Biol. 68, 403–407 (2003)
Dausset, J. et al. Centre d'etude du polymorphisme humain (CEPH): collaborative genetic mapping of the human genome. Genomics 6, 575–577 (1990)
Matise, T. C. et al. A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set. Am. J. Hum. Genet. 73, 271–284 (2003)
S.A.G.E. Statistical Analysis for Genetic Epidemiology. (Statistical Solutions Ltd, Cork, Ireland, 2003)
Haseman, J. K. & Elston, R. C. The investigation of linkage between a quantitative trait and a marker locus. Behav. Genet. 2, 3–19 (1972)
Lander, E. & Kruglyak, L. Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results. Nature Genet. 11, 241–247 (1995)
Nobrega, M., Ovcharenko, I., Afzal, V. & Rubin, E. Scanning human gene deserts for long-range enhancers. Science 302, 413 (2003)
Lettice, L. A. et al. Disruption of a long-range cis-acting regulator for Shh causes preaxial polydactyly. Proc. Natl Acad. Sci. USA 99, 7548–7553 (2002)
Cohen, B. A., Mitra, R. D., Hughes, J. D. & Church, G. M. A computational analysis of whole-genome expression data reveals chromosomal domains of gene expression. Nature Genet. 26, 183–186 (2000)
Caron, H. et al. The human transcriptome map: clustering of highly expressed genes in chromosomal domains. Science 291, 1289–1292 (2001)
Spellman, P. T. & Rubin, G. M. Evidence for large domains of similarly expressed genes in the Drosophila genome. J. Biol. 1, 5 (2002)
Abecasis, G. R., Cardon, L. R. & Cookson, W. O. A general test of association for quantitative traits in nuclear families. Am. J. Hum. Genet. 66, 279–292 (2000)
McKenzie, C. A. et al. Trans-ethnic fine mapping of a quantitative trait locus for circulating angiotensin I-converting enzyme (ACE). Hum. Mol. Genet. 10, 1077–1084 (2001)
Abecasis, G. R., Cherny, S. S., Cookson, W. O. & Cardon, L. R. Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nature Genet. 30, 97–101 (2002)
Shete, S., Jacobs, K. B. & Elston, R. C. Adding further power to the Haseman and Elston method for detecting linkage in larger sibships: weighting sums and differences. Hum. Hered. 55, 79–85 (2003)
Acknowledgements
We thank T. Matise and W. Ewens for discussions and advice, and J. Burdick for technical help. Some analyses for this paper were carried out by using the program package S.A.G.E., which is supported by a grant from the National Center for Research Resources. This work is supported by grants from the National Institutes of Health (to R.S.S. and V.G.C.) and the W.W. Smith Endowed Chair (to V.G.C.).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
The authors declare that they have no competing financial interests.
Rights and permissions
About this article
Cite this article
Morley, M., Molony, C., Weber, T. et al. Genetic analysis of genome-wide variation in human gene expression. Nature 430, 743–747 (2004). https://doi.org/10.1038/nature02797
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/nature02797
This article is cited by
-
Conditional transcriptome-wide association study for fine-mapping candidate causal genes
Nature Genetics (2024)
-
Integrating eQTL and GWAS data characterises established and identifies novel migraine risk loci
Human Genetics (2023)
-
Allelic expression imbalance of PIK3CA mutations is frequent in breast cancer and prognostically significant
npj Breast Cancer (2022)
-
Robust association tests for quantitative traits on the X chromosome
Heredity (2022)
-
Heparanase (HPSE) gene polymorphism (rs12503843) contributes as a risk factor for hepatocellular carcinoma (HCC): a pilot study among Egyptian patients
Journal of Genetic Engineering and Biotechnology (2021)