Regularized principal components of heritability

Yixin Fang, Yang Feng and Ming Yuan ()

Computational Statistics, 2014, vol. 29, issue 3, 455-465

Abstract: In family studies with multiple continuous phenotypes, heritability can be conveniently evaluated through the so-called principal-component of heredity (PCH, for short; Ott and Rabinowitz in Hum Hered 49:106–111, 1999 ). Estimation of the PCH, however, is notoriously difficult when entertaining a large collection of phenotypes which naturally arises in dealing with modern genomic data such as those from expression QTL studies. In this paper, we propose a regularized PCH method to specifically address such challenges. We show through both theoretical studies and data examples that the proposed method can accurately assess the heritability of a large collection of phenotypes. Copyright Springer-Verlag Berlin Heidelberg 2014

Keywords: Expression quantitative trait loci; Family study; High dimensional data; Linear discriminant analysis; Principal components; Sparsity (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:29:y:2014:i:3:p:455-465

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DOI: 10.1007/s00180-013-0444-3

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