Gene-trait similarity regression for multimarker-based association analysis

Jung Ying Tzeng, Daowen Zhang, Sheng Mao Chang, Duncan C. Thomas, Marie Davidian

研究成果: Article同行評審

39 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)822-832
頁數11
期刊Biometrics
65
發行號3
DOIs
出版狀態Published - 2009 9月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 生物化學、遺傳與分子生物學 (全部)
  • 免疫學與微生物學 (全部)
  • 農業與生物科學 (全部)
  • 應用數學

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