Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects-Reference-Cited by-同舟云学术

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Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects

Published:2023-02 Issue:2 Volume:110 Page:336-348
ISSN:0002-9297
Container-title:The American Journal of Human Genetics
language:en
Short-container-title:The American Journal of Human Genetics

Author:

Duchen Dylan^ORCID,Vergara Candelaria,Thio Chloe L.,Kundu Prosenjit,Chatterjee Nilanjan,Thomas David L.,Wojcik Genevieve L.,Duggal Priya

Funder

Burroughs Wellcome Fund

National Institute of Health and Medical Research

National Human Genome Research Institute

National Institute of Allergy and Infectious Diseases

Publisher

Elsevier BV

Subject

Genetics (clinical),Genetics

Reference81 articles.

1. 10 Years of GWAS Discovery: Biology, Function, and Translation;Visscher;Am. J. Hum. Genet.,2017

2. Genome-wide association study of 14, 000 cases of seven common diseases and 3, 000 shared controls;Clayton;Nature,2007

3. Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies;Zhou;Nat. Genet.,2018

4. An atlas of genetic associations in UK Biobank;Canela-Xandri;Nat. Genet.,2018

5. Mapping the human genetic architecture of COVID-19;Callaway;Nature,2021

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1. Use of whole genome sequencing for surveillance and control of foodborne diseases: status quo and quo vadis;Frontiers in Microbiology;2024-09-13

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3. Strong Effect of Demographic Changes on Tuberculosis Susceptibility in South Africa;2023-11-04

4. The phenotype-genotype reference map: Improving biobank data science through replication;The American Journal of Human Genetics;2023-09

5. Genetic epidemiology of resistance to M. tuberculosis Infection: importance of study design and recent findings;Genes & Immunity;2023-04-22

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