{"id":354,"date":"2012-08-13T14:31:57","date_gmt":"2012-08-13T14:31:57","guid":{"rendered":"http:\/\/stg-blogs.bmj.com\/jmg\/?p=354"},"modified":"2012-08-13T14:31:57","modified_gmt":"2012-08-13T14:31:57","slug":"quantitative-trait-locus-analysis-for-next-generation-sequencing-with-the-functional-linear-models","status":"publish","type":"post","link":"https:\/\/stg-blogs.bmj.com\/jmg\/2012\/08\/13\/quantitative-trait-locus-analysis-for-next-generation-sequencing-with-the-functional-linear-models\/","title":{"rendered":"Quantitative trait locus analysis for next-generation sequencing with the functional linear models"},"content":{"rendered":"<p>It is now well documented that next-generation sequencing (NGS) can generate several millions or even dozens of millions of genetic variation data. As a consequence, these genetic variation data are so densely distributed across the genome that the genetic variation can be modeled as a function of genomic location. But, standard multivariate statistical analysis often fails with functional data. The emergence of NGS demands a paradigm shift in the analytic methods for QTL(eQTL) analysis from standard single-variate or multivariate data analysis to functional data analysis. We propose a functional linear model (FLM) as a general analytic platform for testing the association of the entire allelic spectrum of genetic variation with a quantitative trait. Simulations and real data analysis show that the FLM can substantially outperform many exiting statistics for QTL analysis with NGS data. The FLM is expected to open a new route for QTL analysis. (By Dr. Momiao Xiong, <a href=\"http:\/\/jmg.bmj.com\/content\/49\/8\/513.abstract?etoc\">http:\/\/jmg.bmj.com\/content\/49\/8\/513.abstract?etoc<\/a> )<!--TrendMD v2.4.8--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>It is now well documented that next-generation sequencing (NGS) can generate several millions or even dozens of millions of genetic variation data. As a consequence, these genetic variation data are so densely distributed across the genome that the genetic variation can be modeled as a function of genomic location. But, standard multivariate statistical analysis often [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/stg-blogs.bmj.com\/jmg\/2012\/08\/13\/quantitative-trait-locus-analysis-for-next-generation-sequencing-with-the-functional-linear-models\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-354","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/posts\/354","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/comments?post=354"}],"version-history":[{"count":0,"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/posts\/354\/revisions"}],"wp:attachment":[{"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/media?parent=354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/categories?post=354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stg-blogs.bmj.com\/jmg\/wp-json\/wp\/v2\/tags?post=354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}