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10.1002/gepi.21836 http://scihub22266oqcxt.onion/10.1002/gepi.21836 C4139708!4139708 !25048299     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25048299 &cmd=llinks): Failed to open stream: HTTP request failed! 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Detecting disease variants in case-parent trio studies using the bioconductor software package trio |pdf=|usr=}}{{25048299 }} gab.com Text Detecting disease variants in case-parent trio studies using the bioconductor software package trio JO: Genet Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=25048299 #FOAvip Case-parent trio studies are commonly employed in genetics to detect variants underlying common complex disease risk. Both commercial and freely available software suites for genetic data analysis usually contain methods for case-parent trio designs. A user might, however, experience limitations with these packages, which can include missing functionality to extend the software if a desired analysis has not been implemented, and the inability to programmatically capture all the software versions used for low-level processing and high-level inference of genomic data, a critical consideration in particular for high-throughput experiments. Here, we present a software vignette (i.e., a manual with step by step instructions and examples to demonstrate software functionality) for reproducible genome-wide analyses of case-parent trio data using the open source Bioconductor package trio. The workflow for the practitioner uses data from previous genetic trio studies to illustrate functions for marginal association tests, assessment of parent-of-origin effects, power and sample size calculations, and functions to detect gene-gene and gene-environment interactions associated with disease. Twit Text FOAVip Detecting disease variants in case-parent trio studies using the bioconductor software package trio ????Genet Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=25048299 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25048299 #FOAvip English Wikipedia <ref>{{Cite pmid|25048299 }}</ref> Detecting disease variants in case-parent trio studies using the bioconductor software package trio #MMPMID25048299 Schwender H ; Li Q ; Neumann C ; Taub MA ; Younkin SG ; Berger P ; Scharpf RB ; Beaty TH ; Ruczinski I Genet Epidemiol 2014[Sep]; 38 (6 ): 516-22 PMID25048299 show ga Case-parent trio studies are commonly employed in genetics to detect variants underlying common complex disease risk. Both commercial and freely available software suites for genetic data analysis usually contain methods for case-parent trio designs. A user might, however, experience limitations with these packages, which can include missing functionality to extend the software if a desired analysis has not been implemented, and the inability to programmatically capture all the software versions used for low-level processing and high-level inference of genomic data, a critical consideration in particular for high-throughput experiments. Here, we present a software vignette (i.e., a manual with step by step instructions and examples to demonstrate software functionality) for reproducible genome-wide analyses of case-parent trio data using the open source Bioconductor package trio. The workflow for the practitioner uses data from previous genetic trio studies to illustrate functions for marginal association tests, assessment of parent-of-origin effects, power and sample size calculations, and functions to detect gene-gene and gene-environment interactions associated with disease. |*Genetic Variation [MESH] |*Software [MESH] |Child [MESH] |Gene-Environment Interaction [MESH] |Genetic Association Studies [MESH] |Genotype [MESH] |Humans [MESH] |Parents [MESH]Detecting disease variants in case-parent trio studies using the bioco(epmc).pdf DeepDyve Pubget Overpricing