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Meta-Analysis
. 1997;14(6):617-22.
doi: 10.1002/(SICI)1098-2272(1997)14:6<617::AID-GEPI11>3.0.CO;2-T.

A meta-analysis of chromosome 18 linkage data for bipolar illness

D A Dorr  1 , J P Rice, C Armstrong, T Reich, M Blehar
Affiliations
Meta-Analysis

A meta-analysis of chromosome 18 linkage data for bipolar illness

D A Dorr et al. Genet Epidemiol. 1997.

Abstract

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.

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