Gene-trait similarity regression for multimarker-based association analysis.

Published

Journal Article

We propose a similarity-based regression method to detect associations between traits and multimarker genotypes. The model regresses similarity in traits for pairs of "unrelated" individuals on their haplotype similarities, and detects the significance by a score test for which the limiting distribution is derived. The proposed method allows for covariates, uses phase-independent similarity measures to bypass the needs to impute phase information, and is applicable to traits of general types (e.g., quantitative and qualitative traits). We also show that the gene-trait similarity regression is closely connected with random effects haplotype analysis, although commonly they are considered as separate modeling tools. This connection unites the classic haplotype sharing methods with the variance-component approaches, which enables direct derivation of analytical properties of the sharing statistics even when the similarity regression model becomes analytically challenging.

Full Text

Duke Authors

Cited Authors

  • Tzeng, J-Y; Zhang, D; Chang, S-M; Thomas, DC; Davidian, M

Published Date

  • September 2009

Published In

Volume / Issue

  • 65 / 3

Start / End Page

  • 822 - 832

PubMed ID

  • 19210740

Pubmed Central ID

  • 19210740

Electronic International Standard Serial Number (EISSN)

  • 1541-0420

International Standard Serial Number (ISSN)

  • 0006-341X

Digital Object Identifier (DOI)

  • 10.1111/j.1541-0420.2008.01176.x

Language

  • eng