Estimating coverage and power for genetic association studies using near-complete variation data.
Nat Genet
; 40(7): 841-3, 2008 Jul.
Article
em En
| MEDLINE
| ID: mdl-18568023
ABSTRACT
Although studies suggest that SNPs derived from HapMap provide promising coverage and power for association studies, the lack of alternative variation datasets limits independent analysis. Using near-complete variation data for 76 genes resequenced in HapMap samples, we find that coverage of common variation by commercial genotyping arrays is substantially lower compared to the HapMap-based estimates. We quantify the power offered by these arrays for a range of disease models.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Mapeamento Cromossômico
/
Polimorfismo de Nucleotídeo Único
/
Frequência do Gene
/
Ligação Genética
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2008
Tipo de documento:
Article