Work

Guidelines for Large-Scale Sequence-Based Complex Trait Association Studies: Lessons Learned from the NHLBI Exome Sequencing Project

Year: 2016

Type: article

Source: The American Journal of Human Genetics

DOI: 10.1016/j.ajhg.2016.08.012

Authors: Paul L. Auer, Alex P. Reiner, Gao Wang, Hyun Min Kang, Goncalo R. Abecasis, David Altshuler, Michael J. Bamshad, Deborah A. Nickerson, Russell P. Tracy, Stephen S. Rich, Suzanne M. Leal

Institutions: Fred Hutch Cancer Center, University of Wisconsin–Milwaukee, University of Washington, Baylor College of Medicine, University of Chicago, University of Michigan, Broad Institute, Vertex Pharmaceuticals (United States), University of Vermont, University of Virginia

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, U.S. National Library of Medicine

Awards: Comprehensive Sequencing and Analysis of Variation in NHLBI Cohorts, Evolving Our Partnership: The CSER2 Centralized Support Coordinating Center, Northwest Genomics Center, ARRA - NHLBI Lung Cohorts Sequencing Project, Computational tools for sequence-based large-scale epidemiology studies, G3550174423, G475171617, Human Exome Sequencing in Six Well-Phenotyped NHLBI Cohorts, WHI Sequencing Project (WHISP), University of Washington Biomedical Informatics and Data Science Research Training Program

OpenAlex ID: W2523621663

FWCI: 9.839

Cites: 48

Cited by: 92

Related to: 10