Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1146/annurev-genom-091212-153520 http://scihub22266oqcxt.onion/10.1146/annurev-genom-091212-153520 C4040957!4040957!23724904     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Annu+Rev+Genomics+Hum+Genet 2013 ; 14 (ä): 441-65 Nephropedia Template TP {{tp|p=23724904|t=2013. The Power of Meta-Analysis in Genome Wide Association Studies |pdf=|usr=}}{{23724904}} gab.com Text The Power of Meta-Analysis in Genome Wide Association Studies JO: Annu Rev Genomics Hum Genet http://www.kidney.de/pget.php?&tw=1&pmid=23724904 #FOAvip Meta-analysis of multiple genome-wide association (GWA) studies has become common practice over the last few years. The main advantage of this technique is the maximization of power to detect the subtle genetic effects for common traits. Moreover, one can use meta-analysis to probe and identify heterogeneity in the effect sizes across the combined studies. In this review we systematically appraised and evaluated the characteristics of GWA meta-analyses with 10,000 or more subjects published until June 2012. We overview the current landscape of variants discovered by GWA meta-analyses and we discuss and assess with extrapolations from empirical data the value of larger meta-analyses for the discovery of additional genetic associations and new biology in the future. Finally, we discuss some emerging logistical and practical issues related to the conduct of meta-analysis of GWA studies. Twit Text FOAVip The Power of Meta-Analysis in Genome Wide Association Studies ????Annu Rev Genomics Hum Genet http://www.kidney.de/pget.php?&tw=1&pmid=23724904 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=23724904 #FOAvip English Wikipedia <ref>{{Cite pmid|23724904}}</ref> The Power of Meta-Analysis in Genome Wide Association Studies #MMPMID23724904 Panagiotou OA; Willer CJ; Hirschhorn JN; Ioannidis JPA Annu Rev Genomics Hum Genet 2013[]; 14 (ä): 441-65 PMID23724904show ga Meta-analysis of multiple genome-wide association (GWA) studies has become common practice over the last few years. The main advantage of this technique is the maximization of power to detect the subtle genetic effects for common traits. Moreover, one can use meta-analysis to probe and identify heterogeneity in the effect sizes across the combined studies. In this review we systematically appraised and evaluated the characteristics of GWA meta-analyses with 10,000 or more subjects published until June 2012. We overview the current landscape of variants discovered by GWA meta-analyses and we discuss and assess with extrapolations from empirical data the value of larger meta-analyses for the discovery of additional genetic associations and new biology in the future. Finally, we discuss some emerging logistical and practical issues related to the conduct of meta-analysis of GWA studies. äThe Power of Meta-Analysis in Genome Wide Association Studies (epmc).pdf DeepDyve Pubget Overpricing