Pedigree data analysis with crossover interference.

Abstract:

:We propose a new method for calculating probabilities for pedigree genetic data that incorporates crossover interference using the chi-square models. Applications include relationship inference, genetic map construction, and linkage analysis. The method is based on importance sampling of unobserved inheritance patterns conditional on the observed genotype data and takes advantage of fast algorithms for no-interference models while using reweighting to allow for interference. We show that the method is effective for arbitrarily many markers with small pedigrees.

journal_name

Genetics

journal_title

Genetics

authors

Browning S

keywords:

subject

Has Abstract

pub_date

2003-08-01 00:00:00

pages

1561-6

issue

4

eissn

0016-6731

issn

1943-2631

journal_volume

164

pub_type

杂志文章

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