Genome partitioning of genetic variation for complex traits using common SNPs

Yang, Jian, Manolio, Teri A., Pasquale, Louis R., Boerwinkle, Eric, Caporaso, Neil, Cunningham, Julie M., de Andrade, Mariza, Feenstra, Bjarke, Feingold, Eleanor, Hayes, M. Geoffrey, Hill, William G., Landi, Maria Teresa, Alonso, Alvaro, Lettre, Guillaume, Lin, Peng, Ling, Hua, Lowe, William, Mathias, Rasika A., Melbye, Mads, Pugh, Elizabeth, Cornelis, Marilyn C., Weir, Bruce S., Goddard, Michael E. and Visscher, Peter M. (2011) Genome partitioning of genetic variation for complex traits using common SNPs. Nature Genetics, 43 6: 519-U44. doi:10.1038/ng.823


Author Yang, Jian
Manolio, Teri A.
Pasquale, Louis R.
Boerwinkle, Eric
Caporaso, Neil
Cunningham, Julie M.
de Andrade, Mariza
Feenstra, Bjarke
Feingold, Eleanor
Hayes, M. Geoffrey
Hill, William G.
Landi, Maria Teresa
Alonso, Alvaro
Lettre, Guillaume
Lin, Peng
Ling, Hua
Lowe, William
Mathias, Rasika A.
Melbye, Mads
Pugh, Elizabeth
Cornelis, Marilyn C.
Weir, Bruce S.
Goddard, Michael E.
Visscher, Peter M.
Title Genome partitioning of genetic variation for complex traits using common SNPs
Journal name Nature Genetics   Check publisher's open access policy
ISSN 1061-4036
1546-1718
Publication date 2011-06
Year available 2011
Sub-type Article (original research)
DOI 10.1038/ng.823
Open Access Status
Volume 43
Issue 6
Start page 519
End page U44
Total pages 9
Place of publication New York, NY United States
Publisher Nature Publishing Group
Collection year 2011
Language eng
Formatted abstract
 We estimate and partition genetic variation for height, body mass index (BMI), von Willebrand factor and QT interval (QTi) using 586,898 SNPs genotyped on 11,586 unrelated individuals. We estimate that ~45%, ~17%, ~25% and ~21% of the variance in height, BMI, von Willebrand factor and QTi, respectively, can be explained by all autosomal SNPs and a further ~0.5–1% can be explained by X chromosome SNPs. We show that the variance explained by each chromosome is proportional to its length, and that SNPs in or near genes explain more variation than SNPs between genes. We propose a new approach to estimate variation due to cryptic relatedness and population stratification. Our results provide further evidence that a substantial proportion of heritability is captured by common SNPs, that height, BMI and QTi are highly polygenic traits, and that the additive variation explained by a part of the genome is approximately proportional to the total length of DNA contained within genes therein.
Keyword Body Mass Index
Von Willebrand-Factor
Wide Association
Human Height
Large Proportion
Aging Research
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
 
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