Work

Association mapping, using a mixture model for complex traits

Year: 2002

Type: article

Source: Genetic Epidemiology

DOI: 10.1002/gepi.210

Authors: Xiaofeng Zhu, ShuangLin Zhang, Hongyu Zhao, Richard S. Cooper

Institutions: Loyola University Medical Center, Loyola Medicine, Michigan Technological University, Heilongjiang University, Yale 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: closed

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences

Awards: Genome Scan for Obesity in a Multi-Ethnic Sample, G3992327472, G451242702, Genetics of Hypertension in Blacks, Statistical Methods to Map Genes for Complex Traits, G7401936447

OpenAlex ID: W2116777908

FWCI: 1.667

Cites: 38

Cited by: 132

Related to: 10