000117508 001__ 117508
000117508 005__ 20181128180056.0
000117508 0247_ $$2Other$$ast0083
000117508 037__ $$a199-2016-2481
000117508 037__ $$a199-2016-3387
000117508 041__ $$aen
000117508 245__ $$aExploratory analysis of single nucleotide polymorphism (SNP) for quantitative traits
000117508 260__ $$c2005
000117508 269__ $$a2005
000117508 270__ $$mclevesmarioa@uams.edu$$pCleves,   Mario A.
000117508 300__ $$a13
000117508 336__ $$aJournal Article
000117508 520__ $$aWith the decreasing cost and the increasing ability to quickly genotype single nucleotide polymorphisms (SNP) across the human genome, large databases containing possibly hundreds of typed SNPs are becoming common in population-based studies of quantitative traits. Testing for association between individual SNPs and the quantitative trait is an important first step in the discovery of disease susceptibility SNPs. This task, however, could be time-consuming and tedious if a large number of SNPs is involved. In this article, I introduce two new commands designed to facilitate the screening and testing of multiple SNPs for possible association with quantitative traits.
000117508 542__ $$fLicense granted by Lisa Gilmore (lgilmore@stata.com) on 2011-11-04T13:46:03Z (GMT):

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000117508 650__ $$aResearch Methods/ Statistical Methods
000117508 6531_ $$ahwsnp
000117508 6531_ $$aqtlsnp
000117508 6531_ $$agenetic epidemiology
000117508 6531_ $$agenetic linkage
000117508 6531_ $$aQTL
000117508 6531_ $$abiallelic marker
000117508 6531_ $$asingle nucleotide polymorphisms
000117508 6531_ $$aHardy–Weinberg
000117508 700__ $$aCleves, Mario A.
000117508 773__ $$d2nd Quarter 2005$$j 05$$k 2$$o153$$q141$$tStata Journal
000117508 8564_ $$s279195$$uhttps://ageconsearch.umn.edu/record/117508/files/sjart_st0083.pdf
000117508 887__ $$ahttp://purl.umn.edu/117508
000117508 909CO $$ooai:ageconsearch.umn.edu:117508$$pGLOBAL_SET
000117508 912__ $$nSubmitted by Lisa Gilmore (lgilmore@stata.com) on 2011-11-04T13:48:19Z
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  Previous issue date: 2005
000117508 982__ $$gStata Journal>Volume 5, Number 2, 2nd Quarter 2005
000117508 980__ $$a199