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

✍ Scribed by David A. Dorr; John P. Rice; Chris Armstrong; Theodore Reich; Mary Blehar

Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 93 KB
Volume: 14
Category: Article
ISSN: 0741-0395
DOI: 10.1002/(sici)1098-2272(1997)14:6<617::aid-gepi11>3.0.co;2-t

No coin nor oath required. For personal study only.

✦ Synopsis

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 metaanalysis 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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