publication . Article . 2011

Gene-based partial least-squares approaches for detecting rare variant associations with complex traits

Turkmen, Asuman S; Lin, Shili;
Open Access English
  • Published: 01 Nov 2011 Journal: BMC Proceedings (issn: 1753-6561, Copyright policy)
  • Publisher: BMC
Abstract
<p>Abstract</p> <p>Genome-wide association studies are largely based on single-nucleotide polymorphisms and rest on the common disease/common variants (single-nucleotide polymorphisms) hypothesis. However, it has been argued in the last few years and is well accepted now that rare variants are valuable for studying common diseases. Although current genome-wide association studies have successfully discovered many genetic variants that are associated with common diseases, detecting associated rare variants remains a great challenge. Here, we propose two partial least-squares approaches to aggregate the signals of many single-nucleotide polymorphisms (SNPs) within...
Subjects
free text keywords: Medicine, R, Science, Q, Proceedings, General Biochemistry, Genetics and Molecular Biology, General Medicine
Funded by
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

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