Quantitative genetics of disease traits

Wray, N. R. and Visscher, P. M. (2015) Quantitative genetics of disease traits. Journal of Animal Breeding and Genetics, 132 2: 198-203. doi:10.1111/jbg.12153

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Author Wray, N. R.
Visscher, P. M.
Title Quantitative genetics of disease traits
Journal name Journal of Animal Breeding and Genetics   Check publisher's open access policy
ISSN 1439-0388
Publication date 2015-04-01
Year available 2015
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1111/jbg.12153
Open Access Status File (Author Post-print)
Volume 132
Issue 2
Start page 198
End page 203
Total pages 6
Place of publication Berlin, Germany
Publisher Blackwell Publishing
Language eng
Abstract John James authored two key papers on the theory of risk to relatives for binary disease traits and the relationship between parameters on the observed binary scale and an unobserved scale of liability (James Annals of Human Genetics, 1971; 35: 47; Reich, James and Morris Annals of Human Genetics, 1972; 36: 163). These two papers are John James' most cited papers (198 and 328 citations, November 2014). They have been influential in human genetics and have recently gained renewed popularity because of their relevance to the estimation of quantitative genetics parameters for disease traits using SNP data. In this review, we summarize the two early papers and put them into context. We show recent extensions of the theory for ascertained case-control data and review recent applications in human genetics.
Keyword Disease
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID 613601
Institutional Status UQ
Additional Notes Special Issue: Quantitative genetics and genetic improvement - papers in honour of John James

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Queensland Brain Institute Publications
Official 2016 Collection
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
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