publication . Article . 2014

Comparison of multilevel modeling and the family-based association test for identifying genetic variants associated with systolic and diastolic blood pressure using Genetic Analysis Workshop 18 simulated data

Wang, Jian; Yu, Robert; Shete, Sanjay;
Open Access English
  • Published: 01 Jun 2014 Journal: BMC Proceedings, volume 8, issue Suppl 1, pages S30-S30 (eissn: 1753-6561, Copyright policy)
  • Publisher: BioMed Central
Abstract
Identifying genetic variants associated with complex diseases is an important task in genetic research. Although association studies based on unrelated individuals (ie, case-control genome-wide association studies) have successfully identified common single-nucleotide polymorphisms for many complex diseases, these studies are not so likely to identify rare genetic variants. In contrast, family-based association studies are particularly useful for identifying rare-variant associations. Recently, there has been some interest in employing multilevel models in family-based genetic association studies. However, the performance of such models in these studies, especia...
Subjects
free text keywords: Proceedings, General Biochemistry, Genetics and Molecular Biology, General Medicine, Type I and type II errors, Bioinformatics, Genetic analysis, Polymorphism (computer science), Data set, Genetic variants, Multilevel model, Genetic association, Medicine, business.industry, business, Univariate
Funded by
NIH| Identifying T2D Variants by DNA Sequencing in Multiethnic Samples
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01DK085584-01
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
,
NIH| Identification and Replication of Type 2 Diabetes Genes in Mexican Americans
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5U01DK085501-02
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
,
NIH| Multiethnic Study of Type 2 Diabetes Genes
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5U01DK085526-05
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
,
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NIH| Identifying variants causal for Type 2 Diabetes in Major human populations
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5U01DK085545-02
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
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publication . Article . 2014

Comparison of multilevel modeling and the family-based association test for identifying genetic variants associated with systolic and diastolic blood pressure using Genetic Analysis Workshop 18 simulated data

Wang, Jian; Yu, Robert; Shete, Sanjay;