Matching strategies for genetic association studies in structured populations.
Am J Hum Genet
; 74(2): 317-25, 2004 Feb.
Article
en En
| MEDLINE
| ID: mdl-14740319
ABSTRACT
Association studies in populations that are genetically heterogeneous can yield large numbers of spurious associations if population subgroups are unequally represented among cases and controls. This problem is particularly acute for studies involving pooled genotyping of very large numbers of single-nucleotide-polymorphism (SNP) markers, because most methods for analysis of association in structured populations require individual genotyping data. In this study, we present several strategies for matching case and control pools to have similar genetic compositions, based on ancestry information inferred from genotype data for approximately 300 SNPs tiled on an oligonucleotide-based genotyping array. We also discuss methods for measuring the impact of population stratification on an association study. Results for an admixed population and a phenotype strongly confounded with ancestry show that these simple matching strategies can effectively mitigate the impact of population stratification.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Genética de Población
Tipo de estudio:
Observational_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Am J Hum Genet
Año:
2004
Tipo del documento:
Article
País de afiliación:
Estados Unidos