Work

Rare-Variant Association Analysis: Study Designs and Statistical Tests

Year: 2014

Type: review

Source: The American Journal of Human Genetics

DOI: 10.1016/j.ajhg.2014.06.009

Authors: Seunggeun Lee, Gonçalo R. Abecasis, Michael Boehnke, Xihong Lin

Institutions: University of Michigan, Harvard University

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 Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Environmental Health Sciences

Awards: G1050708039, Design and Analysis of Human Gene Mapping Studies, Statistical methods for rare variant effects in sequencing association studies, Superfund Metal Mixtures, Biomarkers and Neurodevelopment, G3723030661, Design and Analysis of Human Gene Mapping Studies, Harvard Chan School NIEHS Center for Environmental Health, Robust Software Tools for Variant Identification and Functional Assessment, Statistical Methods for Correlated and High-Dimensional Biomedical Data, Computational and statistical models for human genetics, G7465365067, Studies of Rare Genetic Variation in the Isolated Population of Sardinia, Statistical Informatics for Cancer Research, Michigan Diabetes Research Center (MDRC), Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research

OpenAlex ID: W2063655230

FWCI: 12.87

Cites: 153

Cited by: 1,042

Related to: 10