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Simple association analysis combining data from trios/sibships and unrelated controls
Author(s) -
Chen YiHau,
Lin HuiWen
Publication year - 2008
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.20325
Subject(s) - genetic association , genome wide association study , statistics , association (psychology) , simple (philosophy) , computer science , association test , locus (genetics) , power analysis , biology , genetics , mathematics , algorithm , psychology , single nucleotide polymorphism , gene , genotype , philosophy , epistemology , psychotherapist , cryptography
We consider genetic association analysis that combines data from case‐parent trios/sibships and unrelated controls. A general and simple methodology is proposed, using a weighted least‐squares approach to combine separate information from the case‐parent/case‐sibling analysis and the case‐unrelated control analysis. The new proposal improves over the existing methods in that it requires no assumptions and estimation on the mating‐type distribution. Simulation results show that the new method competes well with the likelihood‐based method when the latter is applicable, and achieves substantial power gains over separate analyses in general. Therefore, the proposed combined association analysis can enjoy wide applications, including the multiallele/locus, haplotype, and genome‐wide association studies. Genet. Epidemiol . 2008. © 2008 Wiley‐Liss, Inc.