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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Bioinformatics
Main Authors: Dai, Mingwei, Ming, Jingsi, Cai, Mingxuan, Liu, Jin, Yang, Can, Wan, Xiang, Xu, Zongben
פורמט: Artigo
שפה:Inglês
יצא לאור: Oxford University Press 2017
נושאים:
גישה מקוונת: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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