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10.1093/ndt/gfw270 http://scihub22266oqcxt.onion/10.1093/ndt/gfw270 C5837632!5837632!28201750     free     free     free       Nephrol+Dial+Transplant 2017 ; 32 (Suppl 2): ii159-69 Nephropedia Template TP {{tp|p=28201750|t=2017. Genetic epidemiology in kidney disease |pdf=|usr=}}{{28201750}} gab.com Text Genetic epidemiology in kidney disease JO: Nephrol Dial Transplant http://www.kidney.de/pget.php?&tw=1&pmid=28201750 #FOAvip Familial aggregation of chronic kidney disease and its component phenotypes?reduced glomerular filtration rate, proteinuria and renal histologic changes?has long been recognized. Rates of severe kidney disease are also known to differ markedly between populations based on ancestry. These epidemiologic observations support the existence of nephropathy susceptibility genes. Several molecular genetic technologies are now available to identify causative loci. The present article summarizes available strategies useful for identifying nephropathy susceptibility genes, including candidate gene association, family-based linkage, genome-wide association and admixture mapping (mapping by admixture linkage disequilibrium) approaches. Examples of loci detected using these techniques are provided. Epigenetic studies and future directions are also discussed. The identification of nephropathy susceptibility genes, coupled with modifiable environmental triggers impacting their function, is likely to improve risk prediction and transform care. Development of novel therapies to prevent progression of kidney disease will follow. Twit Text FOAVip Genetic epidemiology in kidney disease ????Nephrol Dial Transplant http://www.kidney.de/pget.php?&tw=1&pmid=28201750 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28201750 #FOAvip English Wikipedia <ref>{{Cite pmid|28201750}}</ref> Genetic epidemiology in kidney disease #MMPMID28201750 Ainsworth HC; Langefeld CD; Freedman BI Nephrol Dial Transplant 2017[Apr]; 32 (Suppl 2): ii159-69 PMID28201750show ga Familial aggregation of chronic kidney disease and its component phenotypes?reduced glomerular filtration rate, proteinuria and renal histologic changes?has long been recognized. Rates of severe kidney disease are also known to differ markedly between populations based on ancestry. These epidemiologic observations support the existence of nephropathy susceptibility genes. Several molecular genetic technologies are now available to identify causative loci. The present article summarizes available strategies useful for identifying nephropathy susceptibility genes, including candidate gene association, family-based linkage, genome-wide association and admixture mapping (mapping by admixture linkage disequilibrium) approaches. Examples of loci detected using these techniques are provided. Epigenetic studies and future directions are also discussed. The identification of nephropathy susceptibility genes, coupled with modifiable environmental triggers impacting their function, is likely to improve risk prediction and transform care. Development of novel therapies to prevent progression of kidney disease will follow. äGenetic epidemiology in kidney disease (epmc).pdf DeepDyve Pubget Overpricing