期刊
HUMAN HEREDITY
卷 64, 期 1, 页码 35-44出版社
KARGER
DOI: 10.1159/000101421
关键词
haplotype sharing; haplotype similarity; case-parent data; genetic association; Crohn's disease; family-based association test
资金
- NHLBI NIH HHS [K25 HL077663] Funding Source: Medline
Background: Haplotype sharing statistics have been introduced in an ad-hoc way, often relying heavily on permutation testing. As a result, applying these approaches to whole genome association studies or to evaluate their properties in extensive simulation experiments is problematic. Further, permutation testing may be inappropriate in the presence of phase ambiguity and population stratification. Aims: To present a simple framework for a class of haplotype sharing statistics useful for association mapping in case- parent trio data. This framework allows derivation of novel haplotype sharing tests as well as simple variance estimators and asymptotic distributions for haplotype sharing tests. Results and Conclusions: We validated that our approach is appropriately sized using simulated data, and illustrate the methodology by analyzing a Crohn's disease dataset. We find that haplotype-based analyses are much more powerful than single-locus analyses for these data. Copyright (c) 2007 S. Karger AG, Basel.
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