Linkage mapping of total cholesterol level in a young cohort via nonparametric regression.

Abstract:

BACKGROUND:Compared to model-based approaches, nonparametric methods for quantitative trait loci mapping are more robust to deviations in distributional assumptions. In this study, we modify a nonparametric regression method and the "contrast function"- based regression method to analyze total cholesterol level in the younger cohort (the offspring generation) of the Genetic Analysis Workshop 13 simulated data set. RESULTS:We obtained significant evidence of linkage near four of the six non-sex-specific genes in at least 30% of the replicates. CONCLUSIONS:The proposed nonparametric method seems to be a powerful robust alternative to distribution-based methods.

journal_name

BMC Genet

journal_title

BMC genetics

authors

Ghosh S,Bertelsen S,Reich T

doi

10.1186/1471-2156-4-S1-S92

keywords:

subject

Has Abstract

pub_date

2003-12-31 00:00:00

pages

S92

issn

1471-2156

pii

1471-2156-4-S1-S92

journal_volume

4 Suppl 1

pub_type

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