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2011 | OriginalPaper | Chapter

12. Looking Toward the Future

Authors : Nan M. Laird, Christoph Lange

Published in: The Fundamentals of Modern Statistical Genetics

Publisher: Springer New York

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Abstract

While genome wide association studies have led to the identification of robust associations for many complex disease phenotypes, they are typically not able to explain the amount of phenotypic variability that has been attributed to genetic factors by heritability studies such as those discussed in Chapter 4. For example for the phenotype height, heritability studies suggest that about 70% of the phenotypic variability is attributable to genetic factors. However, so far, GWAS for height have identified variants that explain a substantially smaller proportion of the genetic variance of this highly heritable trait (Weedon et al. (2008); Yang et al. (2010)). There are numerous reasons for this ‘missing heritability’, perhaps the most obvious being that the SNPs analyzed are likely only proxies for the real DSLs, and the fact that low frequency SNPs are difficult to detect.

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Literature
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go back to reference Yang J, Benyamin B, McEvoy B, Gordon S, Henders A, Nyholt D, Madden P, Heath A, Martin N, Montgomery G, Goddard M, Visscher P (2010) Common SNPs explain a large proportion of the heritability for human height. Nature Genetics. Epub 2010 20 June, doi:10.1038/ng.608. Yang J, Benyamin B, McEvoy B, Gordon S, Henders A, Nyholt D, Madden P, Heath A, Martin N, Montgomery G, Goddard M, Visscher P (2010) Common SNPs explain a large proportion of the heritability for human height. Nature Genetics. Epub 2010 20 June, doi:10.1038/ng.608.
Metadata
Title
Looking Toward the Future
Authors
Nan M. Laird
Christoph Lange
Copyright Year
2011
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4419-7338-2_12

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