Technological issues and experimental design of gene association studies
- PMID: 21204023
- DOI: 10.1007/978-1-61737-954-3_1
Technological issues and experimental design of gene association studies
Abstract
Genome-wide association studies (GWAS), in which thousands of single-nucleotide polymorphisms (SNPs) spanning the genome are genotyped in individuals who are phenotypically well characterized, -currently represent the most popular strategy for identifying gene regions associated with common -diseases and related quantitative traits. Improvements in technology and throughput capability, development of powerful statistical tools, and more widespread acceptance of pooling-based genotyping approaches have led to greater utilization of GWAS in human genetics research. However, important considerations for optimal experimental design, including selection of the most appropriate genotyping platform, can enhance the utility of the approach even further. This chapter reviews experimental and technological issues that may affect the success of GWAS findings and proposes strategies for developing the most comprehensive, logical, and cost-effective approaches for genotyping given the population of interest.
Similar articles
-
Planning and executing a genome wide association study (GWAS).Methods Mol Biol. 2009;590:403-18. doi: 10.1007/978-1-60327-378-7_25. Methods Mol Biol. 2009. PMID: 19763518
-
The pursuit of genome-wide association studies: where are we now?J Hum Genet. 2010 Apr;55(4):195-206. doi: 10.1038/jhg.2010.19. Epub 2010 Mar 19. J Hum Genet. 2010. PMID: 20300123 Review.
-
On beyond GWAS.Nat Genet. 2010 Jul;42(7):551. doi: 10.1038/ng0710-551. Nat Genet. 2010. PMID: 20581872
-
Genetic association analysis: a primer on how it works, its strengths and its weaknesses.Int J Androl. 2008 Dec;31(6):546-56. doi: 10.1111/j.1365-2605.2008.00896.x. Epub 2008 Jun 2. Int J Androl. 2008. PMID: 18522673 Review.
-
The role of non-HLA single nucleotide polymorphisms in multiple sclerosis susceptibility.J Neuroimmunol. 2010 Dec 15;229(1-2):5-15. doi: 10.1016/j.jneuroim.2010.08.002. Epub 2010 Sep 15. J Neuroimmunol. 2010. PMID: 20832869 Review.
Cited by
-
Chapter 11: Genome-wide association studies.PLoS Comput Biol. 2012;8(12):e1002822. doi: 10.1371/journal.pcbi.1002822. Epub 2012 Dec 27. PLoS Comput Biol. 2012. PMID: 23300413 Free PMC article. Review.
-
Type I diabetes mellitus: genetic factors and presumptive enteroviral etiology or protection.J Pathog. 2014;2014:738512. doi: 10.1155/2014/738512. Epub 2014 Dec 10. J Pathog. 2014. PMID: 25574400 Free PMC article. Review.
-
Personal genome testing: test characteristics to clarify the discourse on ethical, legal and societal issues.BMC Med Ethics. 2011 Jun 14;12:11. doi: 10.1186/1472-6939-12-11. BMC Med Ethics. 2011. PMID: 21672210 Free PMC article. Review.
-
Big data challenges in bone research: genome-wide association studies and next-generation sequencing.Bonekey Rep. 2015 Feb 11;4:635. doi: 10.1038/bonekey.2015.2. eCollection 2015. Bonekey Rep. 2015. PMID: 25709812 Free PMC article.
-
The Human Genome Project, and recent advances in personalized genomics.Risk Manag Healthc Policy. 2015 Feb 16;8:9-20. doi: 10.2147/RMHP.S58728. eCollection 2015. Risk Manag Healthc Policy. 2015. PMID: 25733939 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources