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.

10.1186/1471-2164-15-408 http://scihub22266oqcxt.onion/10.1186/1471-2164-15-408 C4048458!4048458 !24884992     free     free     free 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 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\24884992 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Genomics 2014 ; 15 (1 ): 408 Nephropedia Template TP {{tp|p=24884992 |t=2014. Genetic distance as an alternative to physical distance for definition of gene units in association studies |pdf=|usr=}}{{24884992 }} gab.com Text Genetic distance as an alternative to physical distance for definition of gene units in association studies JO: BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=24884992 #FOAvip BACKGROUND: Some association studies, as the implemented in VEGAS, ALIGATOR, i-GSEA4GWAS, GSA-SNP and other software tools, use genes as the unit of analysis. These genes include the coding sequence plus flanking sequences. Polymorphisms in the flanking sequences are of interest because they involve cis-regulatory elements or they inform on untyped genetic variants trough linkage disequilibrium. Gene extensions have customarily been defined as?±50 Kb. This approach is not fully satisfactory because genetic relationships between neighbouring sequences are a function of genetic distances, which are only poorly replaced by physical distances. RESULTS: Standardized recombination rates (SRR) from the deCODE recombination map were used as units of genetic distances. We searched for a SRR producing flanking sequences near the?±50 Kb offset that has been common in previous studies. A SRR?2 was selected because it led to gene extensions with median length=45.3 Kb and the simplicity of an integer value. As expected, boundaries of the genes defined with the?±50 Kb and with the SRR?2 rules were rarely concordant. The impact of these differences was illustrated with the interpretation of top association signals from two large studies including many hits and their detailed analysis based in different criteria. The definition based in genetic distance was more concordant with the results of these studies than the based in physical distance. In the analysis of 18 top disease associated loci form the first study, the SRR?2 genes led to a fully concordant interpretation in 17 loci; the?±50 Kb genes only in 6. Interpretation of the 43 putative functional genes of the second study based in the SRR?2 definition only missed 4 of the genes, whereas the based in the?±50 Kb definition missed 10 genes. CONCLUSIONS: A gene definition based on genetic distance led to results more concordant with expert detailed analyses than the commonly used based in physical distance. The genome coordinates for each gene are provided to maintain a simple use of the new definitions. Twit Text FOAVip Genetic distance as an alternative to physical distance for definition of gene units in association studies ????BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=24884992 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24884992 #FOAvip English Wikipedia <ref>{{Cite pmid|24884992 }}</ref> Genetic distance as an alternative to physical distance for definition of gene units in association studies #MMPMID24884992 Rodriguez-Fontenla C ; Calaza M ; Gonzalez A BMC Genomics 2014[May]; 15 (1 ): 408 PMID24884992 show ga BACKGROUND: Some association studies, as the implemented in VEGAS, ALIGATOR, i-GSEA4GWAS, GSA-SNP and other software tools, use genes as the unit of analysis. These genes include the coding sequence plus flanking sequences. Polymorphisms in the flanking sequences are of interest because they involve cis-regulatory elements or they inform on untyped genetic variants trough linkage disequilibrium. Gene extensions have customarily been defined as?±50 Kb. This approach is not fully satisfactory because genetic relationships between neighbouring sequences are a function of genetic distances, which are only poorly replaced by physical distances. RESULTS: Standardized recombination rates (SRR) from the deCODE recombination map were used as units of genetic distances. We searched for a SRR producing flanking sequences near the?±50 Kb offset that has been common in previous studies. A SRR?2 was selected because it led to gene extensions with median length=45.3 Kb and the simplicity of an integer value. As expected, boundaries of the genes defined with the?±50 Kb and with the SRR?2 rules were rarely concordant. The impact of these differences was illustrated with the interpretation of top association signals from two large studies including many hits and their detailed analysis based in different criteria. The definition based in genetic distance was more concordant with the results of these studies than the based in physical distance. In the analysis of 18 top disease associated loci form the first study, the SRR?2 genes led to a fully concordant interpretation in 17 loci; the?±50 Kb genes only in 6. Interpretation of the 43 putative functional genes of the second study based in the SRR?2 definition only missed 4 of the genes, whereas the based in the?±50 Kb definition missed 10 genes. CONCLUSIONS: A gene definition based on genetic distance led to results more concordant with expert detailed analyses than the commonly used based in physical distance. The genome coordinates for each gene are provided to maintain a simple use of the new definitions. |Genetic Association Studies/*methods [MESH] |Genome, Human [MESH] |Genome-Wide Association Study [MESH] |Humans [MESH] |Linkage Disequilibrium [MESH] |Polymorphism, Single Nucleotide [MESH] |Recombination, Genetic [MESH]Genetic distance as an alternative to physical distance for definition(epmc).pdf DeepDyve Pubget Overpricing