Work

Family-based genome-wide association study for simulated data of Framingham Heart Study

Year: 2009

Type: article

Abstract: Genome-wide association studies (GWAS) have quickly become the norm in dissecting the genetic basis of complex diseases. Family-based association approaches have the advantages of being robust to possible hidden population structure in samples. Most of these methods were developed with limited markers. Their applicability and performance for GWAS need to be examined. In this report, we evaluated the properties of the family-based association method implemented by ASSOC in the S.A.G.E package using the simulated data sets for the Framingham Heart Study, and found that ASSOC is a highly useful tool for GWAS.

Source: BMC Proceedings

DOI: 10.1186/1753-6561-3-s7-s124

Authors: Hongyan Xu, George Mathew, Varghese George

Institutions: Augusta University, Missouri State 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: gold

Estimated APC paid: $2,290