publication . Article . 2014

Does the inclusion of rare variants improve risk prediction?

Erin Austin; Wei Pan; Xiaotong Shen;
Open Access English
  • Published: 01 Jun 2014 Journal: BMC Proceedings, volume 8, issue Suppl 1, page S94 (issn: 1753-6561, Copyright policy)
  • Publisher: Springer Nature
Abstract
Every known link between a genetic variant and blood pressure improves the understanding and potentially the risk assessment of related diseases such as hypertension. Genetic data have become increasingly comprehensive and available for an increasing number of samples. The availability of whole-genome sequencing data means that statistical genetic models must evolve to meet the challenge of using both rare variants (RVs) and common variants (CVs) to link previously unidentified genome loci to disease-related traits. Penalized regression has two features, variable selection and proportional coefficient shrinkage, that allow researchers to build models tailored to...
Subjects
free text keywords: Proceedings, General Biochemistry, Genetics and Molecular Biology, General Medicine, Elastic net regularization, Genetic model, Regression analysis, Bioinformatics, Lasso (statistics), Risk assessment, Regression, Feature selection, Mean squared error, Medicine, business.industry, business
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| 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| Discovery of Functional Variants in Type 2 Diabetes Genes in Mexican Americans
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5U01DK085524-05
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
,
NIH| GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANS
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01DK053889-04
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES

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