Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification-Reference-Cited by-同舟云学术

Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification

Published:2020-09-10 Issue:8 Volume:44 Page:854-867
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Barbeira Alvaro N.¹^ORCID,Melia Owen J.¹^ORCID,Liang Yanyu¹^ORCID,Bonazzola Rodrigo¹,Wang Gao²^ORCID,Wheeler Heather E.³⁴⁵^ORCID,Aguet François⁶^ORCID,Ardlie Kristin G.⁶^ORCID,Wen Xiaoquan⁷^ORCID,Im Hae K.¹²

Affiliation:

1. Section of Genetic Medicine, Department of Medicine The University of Chicago Chicago Illinois

2. Department of Human Genetics The University of Chicago Chicago Illinois

3. Department of Biology Loyola University Chicago Chicago Illinois

4. Department of Computer Science Loyola University Chicago Chicago Illinois

5. Department of Public Health Sciences, Stritch School of Medicine Loyola University Chicago Maywood Illinois

6. The Broad Institute of MIT and Harvard Cambridge Massachusetts

7. Department of Biostatistics University of Michigan Ann Arbor Michigan

Funder

National Center for Advancing Translational Sciences

Institut National Du Cancer

National Human Genome Research Institute

National Institute on Drug Abuse

National Institute of Diabetes and Digestive and Kidney Diseases

National Heart, Lung, and Blood Institute

Science Applications International Corporation

National Institute of Mental Health

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22346

Reference43 articles.

1. The GTEx Consortium atlas of genetic regulatory effects across human tissues;Aguet F.;bioRxiv,2019

2. Genetic effects on gene expression across human tissues

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

4. Integrating common and rare genetic variation in diverse human populations

5. OMIM.org: leveraging knowledge across phenotype–gene relationships

Cited by 31 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. Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations;Nature Communications;2024-07-09

2. Cis- and trans-eQTL TWASs of breast and ovarian cancer identify more than 100 susceptibility genes in the BCAC and OCAC consortia;The American Journal of Human Genetics;2024-06

3. A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer;The American Journal of Human Genetics;2024-06

4. DHFS-ECM: Design of a Dual Heuristic Feature Selection-based Ensemble Classification Model for the Identification of Bamboo Species from Genomic Sequences;Current Genomics;2024-06

5. Expression- and splicing-based multi-tissue transcriptome-wide association studies identified multiple genes for breast cancer by estrogen-receptor status;Breast Cancer Research;2024-03-21