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10.1146/annurev-genet-110711-155532 http://scihub22266oqcxt.onion/10.1146/annurev-genet-110711-155532 C5744868!5744868!28934590     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Annu+Rev+Genet 2017 ; 51 (ä): 413-33 Nephropedia Template TP {{tp|p=28934590|t=2017. The relationship between the human genome and microbiome comes into view |pdf=|usr=}}{{28934590}} gab.com Text The relationship between the human genome and microbiome comes into view JO: Annu Rev Genet http://www.kidney.de/pget.php?&tw=1&pmid=28934590 #FOAvip The microbiome?s involvement in health and disease, and the complexity of its composition and function, make it intriguing to consider human genetic factors that impact microbiome composition. Genes may influence health through their ability to promote a stable microbial community in the gut. Studies of heritability yield a consistent subset of microbes that are impacted by genes, but the use of genome-wide association studies (GWAS) to identify specific genetic variants associated with microbiota phenotypes has proven challenging. Processing microbiome datasets into traits to be modeled and reducing the burden of multiple testing are just some of the technical hurdles in microbiome GWAS. Studies to date are small by GWAS standards, making cross-study comparisons and validations particularly important in identifying authentic signals. Cross-study comparisons are hampered by differences in analytical approaches. Nevertheless, some consistent associations have emerged between populations, most notably between Bifidobacteria and the lactase non-persister genotype. These early successes open the way for the microbiome to be incorporated into studies that quantify interactions among genotype, environment, and the microbiome for predicting disease susceptibility. Twit Text FOAVip The relationship between the human genome and microbiome comes into view ????Annu Rev Genet http://www.kidney.de/pget.php?&tw=1&pmid=28934590 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28934590 #FOAvip English Wikipedia <ref>{{Cite pmid|28934590}}</ref> The relationship between the human genome and microbiome comes into view #MMPMID28934590 Goodrich JK; Davenport ER; Clark AG; Ley RE Annu Rev Genet 2017[Nov]; 51 (ä): 413-33 PMID28934590show ga The microbiome?s involvement in health and disease, and the complexity of its composition and function, make it intriguing to consider human genetic factors that impact microbiome composition. Genes may influence health through their ability to promote a stable microbial community in the gut. Studies of heritability yield a consistent subset of microbes that are impacted by genes, but the use of genome-wide association studies (GWAS) to identify specific genetic variants associated with microbiota phenotypes has proven challenging. Processing microbiome datasets into traits to be modeled and reducing the burden of multiple testing are just some of the technical hurdles in microbiome GWAS. Studies to date are small by GWAS standards, making cross-study comparisons and validations particularly important in identifying authentic signals. Cross-study comparisons are hampered by differences in analytical approaches. Nevertheless, some consistent associations have emerged between populations, most notably between Bifidobacteria and the lactase non-persister genotype. These early successes open the way for the microbiome to be incorporated into studies that quantify interactions among genotype, environment, and the microbiome for predicting disease susceptibility. äThe relationship between the human genome and microbiome comes into vi(epmc).pdf DeepDyve Pubget Overpricing