Work

General Framework for Meta-analysis of Rare Variants in Sequencing Association Studies

Year: 2013

Type: review

Source: The American Journal of Human Genetics

DOI: 10.1016/j.ajhg.2013.05.010

Authors: Seunggeun Lee, Tanya M. Teslovich, Michael Boehnke, Xihong Lin

Institutions: Harvard University, University of Michigan

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, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: Design and Analysis of Human Gene Mapping Studies, Identifying Genetic Determinants of Severe, Early-Onset COPD, Design and Analysis of Human Gene Mapping Studies, Statistical Methods for Correlated and High-Dimensional Biomedical Data, The Impact of Human Gene Knockouts in Type 2 Diabetes and Related Traits, Statistical methods for rare variant effects in sequencing association studies, Statistical Informatics for Cancer Research, G8654604017, G9000090537, G9000305948, University of Michigan Training Program in Genomic Science, Michigan Diabetes Research Center (MDRC), Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research

OpenAlex ID: W2122060560

FWCI: 2.79

Cites: 45

Cited by: 228

Related to: 10