Secondary analyses for genome‐wide association studies using expression quantitative trait loci-Reference-Cited by-同舟云学术

Secondary analyses for genome‐wide association studies using expression quantitative trait loci

Published:2022-03-21 Issue:3-4 Volume:46 Page:170-181
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Ngwa Julius S.¹,Yanek Lisa R.²,Kammers Kai³,Kanchan Kanika²,Taub Margaret A.¹,Scharpf Robert B.³,Faraday Nauder⁴,Becker Lewis C.²,Mathias Rasika A.²,Ruczinski Ingo¹^ORCID

Affiliation:

1. Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

2. Department of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA

3. Department of Oncology Johns Hopkins University, School of Medicine Baltimore Maryland USA

4. Department of Anesthesiology and Critical Care Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA

Funder

National Center for Research Resources

National Heart, Lung, and Blood Institute

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22448

Reference66 articles.

1. The role of regulatory variation in complex traits and disease

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4. Integrating predicted transcriptome from multiple tissues improves association detection

5. Sex Differences in Platelet Reactivity and Response to Low-Dose Aspirin Therapy

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