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PMID: 12410233 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Detection of regulatory variation in mouse genes.

Nature genetics ·Vol. 32 ·No. 3 ·2002-11-00 ·Pages 432-7

Cowles CR, Hirschhorn JN, Altshuler D, Lander ES

Abstract

Functional polymorphism in genes can be classified as coding variation, altering the amino-acid sequence of the encoded protein, or regulatory variation, affecting the level or pattern of expression of the gene. Coding variation can be recognized directly from DNA sequence, and consequently its frequency and characteristics have been extensively described. By contrast, virtually nothing is known about the extent to which gene regulation varies in populations. Yet it is likely that regulatory variants are important in modulating gene function: alterations in gene regulation have been proposed to influence disease susceptibility and to have been the primary substrate for the evolution of species. Here, we report a systematic study to assess the extent of cis-acting regulatory variation in 69 genes across four inbred mouse strains. We find that at least four of these genes show allelic differences in expression level of 1.5-fold or greater, and that some of these differences are tissue specific. The results show that the impact of regulatory variants can be detected at a significant frequency in a genomic survey and suggest that such variation may have important consequences for organismal phenotype and evolution. The results indicate that larger-scale surveys in both mouse and human could identify a substantial number of genes with common regulatory variation.

MeSH Terms
Alleles Animals Binding Sites Brain/metabolism Crosses, Genetic DNA, Complementary/metabolism Gene Expression Regulation Genetic Markers Genetic Techniques Mice Mice, Inbred C57BL Phenotype Polymorphism, Genetic RNA, Messenger/metabolism Reverse Transcriptase Polymerase Chain Reaction Tissue Distribution Transcription Factors/metabolism
Chemicals
DNA, Complementary Genetic Markers RNA, Messenger Transcription Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Cowles Christopher R
Whitehead Institute and MIT Center for Genome Research, Nine Cambridge Center, Cambridge, Massachusetts 02142, USA.
Hirschhorn Joel N
Altshuler David
Lander Eric S
Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1061-4036
Published
2002-11-00
Epub
2002-00-15
Pages
432-7
Language
English
Region
United States
NLM ID
9216904
Subset
IM
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