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
<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...
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
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22

Almasy, LA, Dyer, TD, Peralta, JM, Kent, JW, Charlesworth, JC, Curran, JE, Blangero, J. Genetic Analysis Workshop 17 mini-exome simulation. BMC Proc. 2011; 5 (suppl 9): S2

Chanock, SJ, Hunter, DJ. Genomics: when the smoke clears …. Nature. 2008; 452: 537-538 [PubMed] [DOI]

Manolio, TA, Collins, FS, Cox, NJ, Goldstein, DB, Hindorff, LA, Hunter, DJ, McCarthy, MI, Ramos, EM, Cardon, LR, Chakravarti, A. Finding the missing heritability of complex diseases. Nature. 2009; 461: 747-753 [OpenAIRE] [PubMed] [DOI]

Wold, H. Soft modeling: the basic design and some extensions. Systems Under Indirect Observation: Causality, Structure, Prediction. 1982; 2: 1-54

Tenenhaus, M, Vinzi, VE, Chatelin, Y-M, Lauro, C. PLS path modeling. Comput Stat Data Anal. 2005; 48: 159-205 [OpenAIRE] [DOI]

Wold, H. Partial least squares. Encyclopedia of Statistical Sciences. 1985; 6: 581-591

Tibshirani, R. Regression shrinkage and selection via the Lasso. J R Stat Soc B. 1996; 58: 267-288

Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue