An ancestry‐based approach for detecting interactions-Reference-Cited by-同舟云学术

An ancestry‐based approach for detecting interactions

Published:2017-11-08 Issue:1 Volume:42 Page:49-63
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Park Danny S.¹^ORCID,Eskin Itamar²,Kang Eun Yong³,Gamazon Eric R.⁴⁵,Eng Celeste⁶,Gignoux Christopher R.¹⁷,Galanter Joshua M.⁶,Burchard Esteban¹⁶,Ye Chun J.⁸,Aschard Hugues⁹^ORCID,Eskin Eleazar³,Halperin Eran²,Zaitlen Noah¹⁶

Affiliation:

1. Department of Bioengineering and Therapeutic Sciences University of California San Francisco San Francisco CA USA

2. The Blavatnik School of Computer Science Tel‐Aviv University Tel Aviv Israel

3. Department of Computer Science University of California Los Angeles Los Angeles CA USA

4. Division of Genetic Medicine Department of Medicine Vanderbilt University Nashville TN USA

5. Academic Medical Center University of Amsterdam Amsterdam The Netherlands

6. Department of Medicine University of California San Francisco San Francisco CA USA

7. Department of Genetics Stanford University Palo Alto CA USA

8. Institute of Human Genetics University of California San Francisco San Francisco CA USA

9. Department of Epidemiology Harvard School of Public Health Boston MA USA

Funder

National Center for Advancing Translational Sciences

University of California, San Francisco

Tobacco-Related Disease Research Program

National Institute of Environmental Health Sciences

National Heart, Lung, and Blood Institute

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22087

Reference56 articles.

1. Fast model-based estimation of ancestry in unrelated individuals

2. Investigation of Genetic Variants, Birthweight and Hypothalamic-Pituitary-Adrenal Axis Function Suggests a Genetic Variant in the SERPINA6 Gene Is Associated with Corticosteroid Binding Globulin in the Western Australia Pregnancy Cohort (Raine) Study

3. Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function

4. Leveraging local ancestry to detect gene-gene interactions in genome-wide data

5. A method for quantifying differentiation between populations at multi-allelic loci and its implications for investigating identity and paternity

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis;2023-09-12

3. Strategies for the Genomic Analysis of Admixed Populations;Annual Review of Biomedical Data Science;2023-08-10

4. Genome-wide Association Study for AKI;Kidney360;2023-06-05

5. Early Life Adversity and Polygenic Risk for High Fasting Insulin Are Associated With Childhood Impulsivity;Frontiers in Neuroscience;2021-09-01