A latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity study.

A latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity study.

Genetic association studies are now routinely used to identify single nucleotide polymorphisms (SNPs) linked with human diseases or traits through single SNP-single trait tests. Here we introduced partial least squares path modeling (PLSPM) for association between single or multiple SNPs and a laten...

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Bibliographic Details
Main Authors: Fuzhong Xue, Shengxu Li, Jian'an Luan, Zhongshang Yuan, Robert N Luben, Kay-Tee Khaw, Nicholas J Wareham, Ruth J F Loos, Jing Hua Zhao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0031927&type=printable
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0031927&type=printable

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