An exponential increase in QTL detection with an increased sample size.
Genetics
; 224(2)2023 05 26.
Article
en En
| MEDLINE
| ID: mdl-36974931
ABSTRACT
Power analyses are often used to determine the number of animals required for a genome-wide association study (GWAS). These analyses are typically intended to estimate the sample size needed for at least 1 locus to exceed a genome-wide significance threshold. A related question that is less commonly considered is the number of significant loci that will be discovered with a given sample size. We used simulations based on a real data set that consisted of 3,173 male and female adult N/NIH heterogeneous stock rats to explore the relationship between sample size and the number of significant loci discovered. Our simulations examined the number of loci identified in subsamples of the full data set. The subsampling analysis was conducted for 4 traits with low (0.15 ± 0.03), medium (0.31 ± 0.03 and 0.36 ± 0.03), and high (0.46 ± 0.03) SNP-based heritabilities. For each trait, we subsampled the data 100 times at different sample sizes (500, 1,000, 1,500, 2,000, and 2,500). We observed an exponential increase in the number of significant loci with larger sample sizes. Our results are consistent with similar observations in human GWAS and imply that future rodent GWAS should use sample sizes that are significantly larger than those needed to obtain a single significant result.
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Base de datos:
MEDLINE
Asunto principal:
Sitios de Carácter Cuantitativo
/
Estudio de Asociación del Genoma Completo
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
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En
Revista:
Genetics
Año:
2023
Tipo del documento:
Article