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.

10.3233/PGE-2012-016 http://scihub22266oqcxt.onion/10.3233/PGE-2012-016 C5020926!5020926!27625808     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Pediatr+Genet 2012 ; 1 (2): 85-98 Nephropedia Template TP {{tp|p=27625808|t=2012. Examination of genetic variants influencing lipid traits in pediatric populations |pdf=|usr=}}{{27625808}} gab.com Text Examination of genetic variants influencing lipid traits in pediatric populations JO: J Pediatr Genet http://www.kidney.de/pget.php?&tw=1&pmid=27625808 #FOAvip Previous large-scale genome-wide association studies in adult populations have implicated ?100 loci in determining high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, or triglyceride levels. However, whether these loci also contribute to variations of lipid traits in pediatric populations remain unknown. Here we assayed a population of Philadelphia children by high-density single nucleotide polymorphism arrays, and performed association analysis on lipid traits ascertained from lipid measurements stored in electronic medical records. We examined previously reported lipid trait associations, and found that most of them show identical direction of association in our pediatric cohorts, including genome-wide significant association on cholesteryl ester transfer protein with HDL-C levels (rs3764261, P = 2.1 × 10?8) and other significant associations on oxysterol-binding protein-like protein 7, low-density lipoprotein receptor-related protein 4 and low-density lipoprotein receptor-related protein 1. Additionally, we identified suggestive association on low-density lipoprotein receptor-related protein 1B with HDL-C levels (rs17736712, P = 2.1 × 10?7), but this signal is not supported by previous meta-analysis on adult cohorts. Finally, we examined rare copy number variants and identified deletions encompassing tetratricopeptide repeat domain 39B in two children with extreme lipid measures. Our results highlight the commonalities and differences of genetic components in determining lipid traits in pediatric versus adult populations. Furthermore, our study demonstrates the unique utility of automated information retrieval from electronic medical records in facilitating the identification of genotype-phenotype associations. Twit Text FOAVip Examination of genetic variants influencing lipid traits in pediatric populations ????J Pediatr Genet http://www.kidney.de/pget.php?&tw=1&pmid=27625808 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27625808 #FOAvip English Wikipedia <ref>{{Cite pmid|27625808}}</ref> Examination of genetic variants influencing lipid traits in pediatric populations #MMPMID27625808 Wang K; Zhang H; Mentch FD; Bradfield JP; Glessner JT; Qiu H; Guo Y; Hou C; Frackelton EC; Thomas K; Bender A; Albano A; Otieno G; Garris M; Seidler K; Moy A; Kim CE; Keating B; Chiavacci RM; Grundmeier R; Sleiman PA; Grant SF; Hakonarson H J Pediatr Genet 2012[Jun]; 1 (2): 85-98 PMID27625808show ga Previous large-scale genome-wide association studies in adult populations have implicated ?100 loci in determining high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, or triglyceride levels. However, whether these loci also contribute to variations of lipid traits in pediatric populations remain unknown. Here we assayed a population of Philadelphia children by high-density single nucleotide polymorphism arrays, and performed association analysis on lipid traits ascertained from lipid measurements stored in electronic medical records. We examined previously reported lipid trait associations, and found that most of them show identical direction of association in our pediatric cohorts, including genome-wide significant association on cholesteryl ester transfer protein with HDL-C levels (rs3764261, P = 2.1 × 10?8) and other significant associations on oxysterol-binding protein-like protein 7, low-density lipoprotein receptor-related protein 4 and low-density lipoprotein receptor-related protein 1. Additionally, we identified suggestive association on low-density lipoprotein receptor-related protein 1B with HDL-C levels (rs17736712, P = 2.1 × 10?7), but this signal is not supported by previous meta-analysis on adult cohorts. Finally, we examined rare copy number variants and identified deletions encompassing tetratricopeptide repeat domain 39B in two children with extreme lipid measures. Our results highlight the commonalities and differences of genetic components in determining lipid traits in pediatric versus adult populations. Furthermore, our study demonstrates the unique utility of automated information retrieval from electronic medical records in facilitating the identification of genotype-phenotype associations. äExamination of genetic variants influencing lipid traits in pediatric (epmc).pdf DeepDyve Pubget Overpricing