Parametric and nonparametric linkage analysis: a unified multipoint approach.

摘要: In complex disease studies, it is crucial to perform multipoint linkage analysis with many markers and use robust nonparametric methods that take account of all pedigree information. Currently available fall short in both regards. this paper, we describe how extract complete inheritance information from general pedigrees moderate size. This captured the distribution, which provides a framework for unified approach parametric analysis. Specifically, includes following: (1) Rapid exact computation LOD scores involving dozens highly polymorphic markers, even presence loops missing data. (2) Non-parametric (NPL) analysis, powerful new We show NPL uncertainty about mode inheritance, much more than commonly used methods, loses little power relative thus appears be method choice studies traits. (3) Information-content mapping, measures fraction total extracted by marker data points out regions typing additional most useful. (4) Maximum-likelihood reconstruction many-marker haplotypes, have implemented LOD-score computation, information-content haplotype computer package, GENEHUNTER. The package allows efficient performed rapidly single user-friendly environment.