Semiparametric analysis of case-control genetic data in the presence of environmental factors Academic Article uri icon

abstract

  • In the past decade, many statistical methods have been proposed for the analysis of casecontrol genetic data with an emphasis on haplotype-based disease association studies. Most of the methodology has concentrated on the estimation of genetic (haplotype) main effects. Most methods accounted for environmental and geneenvironment interaction effects by using prospective-type analyses that may lead to biased estimates when used with casecontrol data. Several recent publications addressed the issue of retrospective sampling in the analysis of casecontrol genetic data in the presence of environmental factors by developing efficient semiparametric statistical methods. This article describes the new Stata command haplologit, which implements efficient profile-likelihood semiparametric methods for fitting geneenvironment models in the very important special cases of a rare disease, a single candidate gene in HardyWeinberg equilibrium, and independence of genetic and environmental factors.

published proceedings

  • STATA JOURNAL

author list (cited authors)

  • Marchenko, Y. V., Carroll, R. J., Lin, D. Y., Amos, C. I., & Gutierrez, R. G.

citation count

  • 15

complete list of authors

  • Marchenko, Yulia V||Carroll, Raymond J||Lin, Danyu Y||Amos, Christopher I||Gutierrez, Roberto G

publication date

  • September 2008