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10.1038/s41598-022-05832-5

http://scihub22266oqcxt.onion/10.1038/s41598-022-05832-5
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35115602!8814062!35115602
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suck abstract from ncbi


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pmid35115602      Sci+Rep 2022 ; 12 (1): 1891
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  • Shared genomic architecture between COVID-19 severity and numerous clinical and physiologic parameters revealed by LD score regression analysis #MMPMID35115602
  • Byun J; Han Y; Walsh KM; Park AS; Bondy ML; Amos CI
  • Sci Rep 2022[Feb]; 12 (1): 1891 PMID35115602show ga
  • The COVID-19 pandemic has produced broad clinical manifestations, from asymptomatic infection to hospitalization and death. Despite progress from genomic and clinical epidemiology research, risk factors for developing severe COVID-19 are incompletely understood and identification of modifiable risk factors is desperately needed. We conducted linkage disequilibrium score regression (LDSR) analysis to estimate cross-trait genetic correlation between COVID-19 severity and various polygenic phenotypes. To attenuate the genetic contribution of smoking and BMI, we further conducted sensitivity analyses by pruning genomic regions associated with smoking/BMI and repeating LDSR analyses. We identified robust positive associations between the genetic architecture of severe COVID-19 and both BMI and smoking. We observed strong positive genetic correlation (rg) with diabetes (rg = 0.25) and shortness of breath walking on level ground (rg = 0.28) and novel protective associations with vitamin E (rg = - 0.53), calcium (rg = - 0.33), retinol (rg = - 0.59), Apolipoprotein A (rg = - 0.13), and HDL (rg = - 0.17), but no association with vitamin D (rg = - 0.02). Removing genomic regions associated with smoking and BMI generally attenuated the associations, but the associations with nutrient biomarkers persisted. This study provides a comprehensive assessment of the shared genetic architecture of COVID-19 severity and numerous clinical/physiologic parameters. Associations with blood and plasma-derived traits identified biomarkers for Mendelian randomization studies to explore causality and nominates therapeutic targets for clinical evaluation.
  • |*Genome-Wide Association Study[MESH]
  • |Body Mass Index[MESH]
  • |COVID-19/etiology/*genetics[MESH]
  • |Diabetes Mellitus/genetics[MESH]
  • |Dyspnea/genetics[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Linkage Disequilibrium/*genetics[MESH]
  • |Male[MESH]
  • |Mendelian Randomization Analysis[MESH]
  • |Multifactorial Inheritance[MESH]
  • |Nutrients[MESH]
  • |Patient Acuity[MESH]
  • |Phenotype[MESH]
  • |Regression Analysis[MESH]
  • |Risk Factors[MESH]


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