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.

10.1017/S0016672310000637 http://scihub22266oqcxt.onion/10.1017/S0016672310000637 C4688043!4688043!21429275     free     free     free       Genet+Res+(Camb) 2010 ; 92 (ä): 461-70 Nephropedia Template TP {{tp|p=21429275|t=2010. Characterizing allelic association in the genome era |pdf=|usr=}}{{21429275}} gab.com Text Characterizing allelic association in the genome era JO: Genet Res (Camb) http://www.kidney.de/pget.php?&tw=1&pmid=21429275 #FOAvip Whole genome data are allowing the estimation of population genetic parameters with an accuracy not imagined 50 years ago. Variation in these parameters along the genome is being found empirically where once only approximate theoretical values were available. Along with increased information, however, has come the issue of multiple testing and the realization that high values of the coefficients of variation of quantities such as relatedness measures may make it difficult to draw inferences. This review concentrates on measures of allelic association within and between individuals and within and between populations. Twit Text FOAVip Characterizing allelic association in the genome era ????Genet Res (Camb) http://www.kidney.de/pget.php?&tw=1&pmid=21429275 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=21429275 #FOAvip English Wikipedia <ref>{{Cite pmid|21429275}}</ref> Characterizing allelic association in the genome era #MMPMID21429275 WEIR BS; LAURIE CC Genet Res (Camb) 2010[Dec]; 92 (ä): 461-70 PMID21429275show ga Whole genome data are allowing the estimation of population genetic parameters with an accuracy not imagined 50 years ago. Variation in these parameters along the genome is being found empirically where once only approximate theoretical values were available. Along with increased information, however, has come the issue of multiple testing and the realization that high values of the coefficients of variation of quantities such as relatedness measures may make it difficult to draw inferences. This review concentrates on measures of allelic association within and between individuals and within and between populations. äCharacterizing allelic association in the genome era (epmc).pdf DeepDyve Pubget Overpricing