Sample size requirements to detect gene‐environment interactions in genome‐wide association studies

Many complex diseases are likely to be a result of the interplay of genes and environmental exposures. The standard analysis in a genome‐wide association study (GWAS) scans for main effects and ignores the potentially useful information in the available exposure data. Two recently proposed methods t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Genetic epidemiology 2011-04, Vol.35 (3), p.201-210
Hauptverfasser:	Murcray, Cassandra E., Lewinger, Juan Pablo, Conti, David V., Thomas, Duncan C., Gauderman, W. James
Format:	Artikel
Sprache:	eng
Schlagworte:	Case-Control Studies case‐control Disease - genetics efficiency Environment G × E interaction Genome-Wide Association Study - statistics & numerical data genome‐wide association study Humans Logistic Models Models, Genetic Molecular Epidemiology - statistics & numerical data Polymorphism, Single Nucleotide Sample Size Software
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!