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A meta‐analysis of chromosome 18 linkage data for bipolar illness
Author(s) -
Dorr David A.,
Rice John P.,
Armstrong Chris,
Reich Theodore,
Blehar Mary
Publication year - 1997
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/(sici)1098-2272(1997)14:6<617::aid-gepi11>3.0.co;2-t
Subject(s) - linkage (software) , genetics , genotyping , microsatellite , allele , identity by descent , biology , genetic linkage , linkage disequilibrium , meta analysis , logistic regression , chromosome , computational biology , statistics , mathematics , haplotype , medicine , genotype , gene
We find a meta‐data set (715 families, up to 1,124 sib pairs) for bipolar illness to have a strong signal in a 10 cM region around D18S40, and excess paternal sharing on the q arm near marker D18S64. We describe a method for meta‐analysis of microsatellite marker data using affected sib‐pair (ASP) methodology. Inherent difficulties in such analysis include heterogeneity of allele frequencies and protocol design, measurement errors in genotyping, and map construction. Using identity‐by‐descent (IBD) allele sharing as the dependent variable, a logistic regression to test for heterogeneity finds only mild heterogeneity, and a limited parent‐of‐origin effect. © 1997 Wiley‐Liss, Inc.