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10.1002/humu.22982 http://scihub22266oqcxt.onion/10.1002/humu.22982 C4846518!4846518!26931283     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26931283&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26931283.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Hum+Mutat 2016 ; 37 (6): 559-63 Nephropedia Template TP {{tp|p=26931283|t=2016. Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine |pdf=|usr=}}{{26931283}} gab.com Text Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine JO: Hum Mutat http://www.kidney.de/pget.php?&tw=1&pmid=26931283 #FOAvip Revolutionary changes in sequencing technology and the desire to develop therapeutics for rare diseases have led to the generation of an enormous amount of genomic data in the last five years. Large-scale sequencing done in both research and diagnostic laboratories has linked many new genes to rare diseases, but has also generated a number of variants that we cannot interpret today. It is clear that we remain a long way from a complete understanding of the genomic variation in the human genome and its association with human health and disease. Recent studies identified susceptibility markers to infectious diseases and also the contribution of rare variants to complex diseases in different populations. The sequencing revolution has also led to the creation of a large number of databases that act as ?keepers? of data, and in many cases give an interpretation of the effect of the variant. This interpretation is based on reports in the literature, prediction models, and in some cases is accompanied by functional evidence. As we move towards the practice of genomic medicine, and consider its place in ?personalized medicine,? it is time to ask ourselves how we can aggregate this wealth of data into a single database for multiple users with different goals. Twit Text FOAVip Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine ????Hum Mutat http://www.kidney.de/pget.php?&tw=1&pmid=26931283 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26931283 #FOAvip English Wikipedia <ref>{{Cite pmid|26931283}}</ref> Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine #MMPMID26931283 Bean L; Hegde MR Hum Mutat 2016[Jun]; 37 (6): 559-63 PMID26931283show ga Revolutionary changes in sequencing technology and the desire to develop therapeutics for rare diseases have led to the generation of an enormous amount of genomic data in the last five years. Large-scale sequencing done in both research and diagnostic laboratories has linked many new genes to rare diseases, but has also generated a number of variants that we cannot interpret today. It is clear that we remain a long way from a complete understanding of the genomic variation in the human genome and its association with human health and disease. Recent studies identified susceptibility markers to infectious diseases and also the contribution of rare variants to complex diseases in different populations. The sequencing revolution has also led to the creation of a large number of databases that act as ?keepers? of data, and in many cases give an interpretation of the effect of the variant. This interpretation is based on reports in the literature, prediction models, and in some cases is accompanied by functional evidence. As we move towards the practice of genomic medicine, and consider its place in ?personalized medicine,? it is time to ask ourselves how we can aggregate this wealth of data into a single database for multiple users with different goals. äGene Variant Databases and Sharing: Creating a Global Genomic Variant (epmc).pdf DeepDyve Pubget Overpricing