Work

Evaluating empirical bounds on complex disease genetic architecture

Year: 2013

Type: article

Source: Nature Genetics

DOI: 10.1038/ng.2804

Authors: Vineeta Agarwala, Jason Flannick, Shamil Sunyaev, David Altshuler

Institutions: Broad Institute, Harvard University, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Massachusetts General Hospital, Brigham and Women's Hospital

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: green

Funders: National Institutes of Health, National Institute of Mental Health, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: Molecular Biophysics Training Grant, New methods and enhanced software for predicting functional SNPs, G2613453697, G328833407, Medical Scientist Training Program, Low-Pass Sequencing and High-Density SNP Genotyping for Type 2 Diabetes, Statistical Methods for the Design and Interpretation of Deep Resequencing Studie, Training Grant in Genetics

OpenAlex ID: W2001126413

FWCI: 11.52

Cites: 76

Cited by: 143

Related to: 10