Fine-scaled human genetic structure revealed by SNP microarrays

Xing, J. C., Watkins, W. S., Witherspoon, D. J., Zhang, Y. H., Guthery, S. L., Thara, R., Mowry, B. J., Bulayeva, K., Weiss, R. B. and Jorde, L. B. (2009) Fine-scaled human genetic structure revealed by SNP microarrays. Genome Research, 19 5: 815-825. doi:10.1101/gr.085589.108

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Author Xing, J. C.
Watkins, W. S.
Witherspoon, D. J.
Zhang, Y. H.
Guthery, S. L.
Thara, R.
Mowry, B. J.
Bulayeva, K.
Weiss, R. B.
Jorde, L. B.
Title Fine-scaled human genetic structure revealed by SNP microarrays
Journal name Genome Research   Check publisher's open access policy
ISSN 1088-9051
Publication date 2009-05-01
Sub-type Article (original research)
DOI 10.1101/gr.085589.108
Open Access Status File (Publisher version)
Volume 19
Issue 5
Start page 815
End page 825
Total pages 11
Editor Eric Green
Hillary E Sussman
Place of publication Cold Spring Harbor, NY, United States
Publisher Cold Spring Harbor Laboratory Press
Language eng
Subject 1311 Genetics
2716 Genetics (clinical)
Abstract Transcript co-expression is regulated by a combination of shared genetic and environmental factors. Here, we estimate the proportion of co-expression that is due to shared genetic variance. To do so, we estimated the genetic correlations between each pairwise combination of 2469 transcripts that are highly heritable and expressed in whole blood in 1748 unrelated individuals of European ancestry. We identify 556 pairs with a significant genetic correlation of which 77% are located on different chromosomes, and report 934 expression quantitative trait loci, identified in an independent cohort, with significant effects on both transcripts in a genetically correlated pair. We show significant enrichment for transcription factor control and physical proximity through chromatin interactions as possible mechanisms of shared genetic control. Finally, we construct networks of interconnected transcripts and identify their underlying biological functions. Using genetic correlations to investigate transcriptional co-regulation provides valuable insight into the nature of the underlying genetic architecture of gene regulation.Covariance of gene expression pairs is due to a combination of shared genetic and environmental factors. Here the authors estimate the genetic correlation between highly heritable pairs and identify transcription factor control and chromatin interactions as possible mechanisms of correlation.
Keyword Human evolutionary history
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Medicine Publications
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Citation counts: TR Web of Science Citation Count  Cited 54 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 61 times in Scopus Article | Citations
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Created: Thu, 03 Sep 2009, 18:13:57 EST by Mr Andrew Martlew on behalf of Medicine - Princess Alexandra Hospital