Linked Life Data

12475937

Source:http://linkedlifedata.com/resource/pubmed/id/12475937

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pubmed-article:12475937pubmed:abstractTextWith an ever-increasing resource of validated single-nucleotide polymorphisms (SNPs), the limiting factors in genome-wide association analysis have become genotyping capacity and the availability of DNA. We provide a proof of concept of the use of pooled DNA as a means of efficiently screening SNPs and prioritizing them for further study. This approach reduces the final number of SNPs that undergo full, sample-by-sample genotyping as well as the quantity of DNA used overall. We have examined 15 SNPs in the cholesteryl ester transfer protein (CETP) gene, a gene previously demonstrated to be associated with serum high-density lipoprotein cholesterol levels. The SNPs were amplified in two pools of DNA derived from groups of individuals with extremely high and extremely low serum high-density lipoprotein cholesterol levels, respectively. P values <0.05 were obtained for 14 SNPs, supporting the described association. Genotyping of the individual samples showed that the average margin of error in frequency estimate was approximately 4% when pools were used. These findings clearly demonstrate the potential of pooling techniques and their associated technologies as an initial screen in the search for genetic associations.lld:pubmed
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pubmed-article:12475937pubmed:dateRevised2009-11-18lld:pubmed
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pubmed-article:12475937pubmed:year2002lld:pubmed
pubmed-article:12475937pubmed:articleTitleAssociation testing by DNA pooling: an effective initial screen.lld:pubmed
pubmed-article:12475937pubmed:affiliationSEQUENOM-Gemini Ltd., 162 Cambridge Science Park, Milton Road, Cambridge, CB4 0GH England.lld:pubmed
pubmed-article:12475937pubmed:publicationTypeJournal Articlelld:pubmed
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