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10.1016/j.mad.2021.111433 http://scihub22266oqcxt.onion/10.1016/j.mad.2021.111433 33444631!7801182!33444631     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mech+Ageing+Dev 2021 ; 194 (ä): 111433 Nephropedia Template TP {{tp|p=33444631|t=2021. Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults |pdf=|usr=}}{{33444631}} gab.com Text Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults JO: Mech Ageing Dev http://www.kidney.de/pget.php?&tw=1&pmid=33444631 #FOAvip Coronavirus disease 2019 (COVID-19) is a current pandemic, and studies reported that older people have higher rates of infection and more severe cases. Recently, studies have revealed the involvement of both genetic and exposure factors in the susceptibility of COVID-19. However, the correlation between them is still unclear. Thus, we aimed to investigate the correlation between genetic and exposure factors associated with COVID-19. We retrieved the information of 7362 participants with COVID-19 testing results from the UK Biobank. We identified genetic factors for COVID-19 by genome-wide association studies (GWAS) summary analysis. In this study, 21 single-nucleotide polymorphisms (SNPs) and 15 exposure factors [smoking, alcohol intake, daytime dozing, body mass index (BMI), triglyceride, High Density Lipoprotein (HDL), diabetes, chronic kidney disease, chronic liver disease, dementia, atmosphere NO2 concentration, socioeconomic status, education qualification, ethnicity, and income] were found to be potential risk factors of COVID-19. Then, a gene-exposure (G?x?E) association network was built based on the correlation among and between these genetic factors and exposure factors. rs140092351, a SNP on microRNA miR1202, not only had the most significant association with COVID-19, but also interacted with multiple exposure factors. Dementia, alcohol consumption, daytime dozing, BMI, HDL, and atmosphere NO(2) concentration were among most significant G?x?E interactions with COVID-19 infection (P?=?0.001). Twit Text FOAVip Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults ????Mech Ageing Dev http://www.kidney.de/pget.php?&tw=1&pmid=33444631 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33444631 #FOAvip English Wikipedia <ref>{{Cite pmid|33444631}}</ref> Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults #MMPMID33444631 Zhang Y; Yang H; Li S; Li WD; Wang J; Wang Y Mech Ageing Dev 2021[Mar]; 194 (ä): 111433 PMID33444631show ga Coronavirus disease 2019 (COVID-19) is a current pandemic, and studies reported that older people have higher rates of infection and more severe cases. Recently, studies have revealed the involvement of both genetic and exposure factors in the susceptibility of COVID-19. However, the correlation between them is still unclear. Thus, we aimed to investigate the correlation between genetic and exposure factors associated with COVID-19. We retrieved the information of 7362 participants with COVID-19 testing results from the UK Biobank. We identified genetic factors for COVID-19 by genome-wide association studies (GWAS) summary analysis. In this study, 21 single-nucleotide polymorphisms (SNPs) and 15 exposure factors [smoking, alcohol intake, daytime dozing, body mass index (BMI), triglyceride, High Density Lipoprotein (HDL), diabetes, chronic kidney disease, chronic liver disease, dementia, atmosphere NO2 concentration, socioeconomic status, education qualification, ethnicity, and income] were found to be potential risk factors of COVID-19. Then, a gene-exposure (G?x?E) association network was built based on the correlation among and between these genetic factors and exposure factors. rs140092351, a SNP on microRNA miR1202, not only had the most significant association with COVID-19, but also interacted with multiple exposure factors. Dementia, alcohol consumption, daytime dozing, BMI, HDL, and atmosphere NO(2) concentration were among most significant G?x?E interactions with COVID-19 infection (P?=?0.001). |*Pandemics[MESH] |*Polymorphism, Single Nucleotide[MESH] |*SARS-CoV-2[MESH] |Aged[MESH] |COVID-19/*epidemiology/*genetics[MESH] |Female[MESH] |Genome-Wide Association Study[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Risk Factors[MESH] |Socioeconomic Factors[MESH]Association analysis framework of genetic and exposure risks for COVID(epmc).pdf DeepDyve Pubget Overpricing