A meta-analysis of chromosome 18 linkage data for bipolar illness
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) m...
Gespeichert in:
Veröffentlicht in: | Genetic epidemiology 1997, Vol.14 (6), p.617-622 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 0741-0395 1098-2272 |
DOI: | 10.1002/(SICI)1098-2272(1997)14:6<617::AID-GEPI11>3.0.CO;2-T |