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IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies
Motivation: Results from genome-wide association studies (GWAS) suggest that a complex phenotype is often affected by many variants with small effects, known as ‘polygenicity’. Tens of thousands of samples are often required to ensure statistical power of identifying these variants with small effect...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860575/ https://ncbi.nlm.nih.gov/pubmed/28498950 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx314 |
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