Work

Sequence Kernel Association Tests for the Combined Effect of Rare and Common Variants

Year: 2013

Type: article

Source: The American Journal of Human Genetics

DOI: 10.1016/j.ajhg.2013.04.015

Authors: Iuliana Ionita-Laza, Seunggeun Lee, Vlad Makarov, Joseph D. Buxbaum, Xihong Lin

Institutions: Columbia University, Harvard University, Icahn School of Medicine at Mount Sinai

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 Science Foundation, Foundation for the National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Human Genome Research Institute, National Cancer Institute

Awards: Statistical Methods to Assess the role of rare Variants in Complex Traits., 3/5-Elucidating the Genetic Architecture of Autism by Deep Genomic Sequencing, Statistical Methods for Correlated and High-Dimensional Biomedical Data, Statistical methods for rare variant effects in sequencing association studies, Novel Statistical methods for DNA Sequencing Data, and applications to Autism., Statistical Informatics for Cancer Research, 1/4-The Autism Sequencing Consortium: Autism gene discovery in >20,000 exomes, Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research

OpenAlex ID: W2087936498

FWCI: 17.03

Cites: 51

Cited by: 422

Related to: 10