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Linkage and association analyses of alcoholism using a regression‐based transmission/disequilibrium test
Author(s) -
George Varghese,
Tiwari Hemant K.,
Shu Youyi,
Zhu Xiaofeng,
Elston Robert C.
Publication year - 1999
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.1370170727
Subject(s) - linkage disequilibrium , transmission disequilibrium test , genetics , linkage (software) , allele , regression , covariate , genetic association , biology , locus (genetics) , regression analysis , association mapping , population , haplotype , statistics , demography , single nucleotide polymorphism , genotype , gene , mathematics , sociology
Recently, George et al. proposed a regression‐based transmission/disequilibrium test for linkage using information on the parent‐to‐offspring transmission status of an allele at a marker locus. We extended this test by simultaneously testing for any population association by incorporating the presence/absence status of the associated allele as a covariate in the model. We used this method to analyze markers on chromosomes 1 through 21 of the Collaborative Study on the Genetics of Alcoholism data on alcoholism for possible association and linkage. We found nominal significance (at the 0.02 level) at eight different regions for linkage, though statistical significance may not be concluded due to multiple testing. The strongest evidence of linkage was observed for markers D4S2639 and D12S397 with p‐values less than 0.005. We also found strong association between the trait and alleles 149 of D7S691 and 131 of D21S1437.