Imputing Phenotypes for Genome-wide Association Studies-Reference-Cited by-同舟云学术

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Imputing Phenotypes for Genome-wide Association Studies

Published:2016-07 Issue:1 Volume:99 Page:89-103
ISSN:0002-9297
Container-title:The American Journal of Human Genetics
language:en
Short-container-title:The American Journal of Human Genetics

Author:

Hormozdiari Farhad,Kang Eun Yong,Bilow Michael,Ben-David Eyal,Vulpe Chris,McLachlan Stela,Lusis Aldons J.,Han Buhm,Eskin Eleazar

Publisher

Elsevier BV

Subject

Genetics (clinical),Genetics

Reference55 articles.

1. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis;Voight;Nat. Genet.,2010

2. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease;Schunkert;Nat. Genet.,2011

3. Intermediate phenotypes and genetic mechanisms of psychiatric disorders;Meyer-Lindenberg;Nat. Rev. Neurosci.,2006

4. High density lipoprotein as a protective factor against coronary heart disease. The Framingham Study;Gordon;Am. J. Med.,1977

5. Statistical Analysis with Missing Data;Little,2002

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1. Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks;Nature Genetics;2024-06-13

2. Gene–environment interactions in human health;Nature Reviews Genetics;2024-05-28

3. Valid inference for machine learning-assisted GWAS;2024-01-04

4. Statistical inference with large‐scale trait imputation;Statistics in Medicine;2023-12

5. Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder;Nature Genetics;2023-11-20

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