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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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Detaylı Bibliyografya
Yayımlandı:Bioinformatics
Asıl Yazarlar: Dai, Mingwei, Ming, Jingsi, Cai, Mingxuan, Liu, Jin, Yang, Can, Wan, Xiang, Xu, Zongben
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2017
Konular:
Online Erişim: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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