Your browser doesn't support javascript.
Shared genomic architecture between COVID-19 severity and numerous clinical and physiologic parameters revealed by LD score regression analysis.
Byun, Jinyoung; Han, Younghun; Walsh, Kyle M; Park, Amy S; Bondy, Melissa L; Amos, Christopher I.
  • Byun J; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA. jinyoung.byun@bcm.edu.
  • Han Y; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. jinyoung.byun@bcm.edu.
  • Walsh KM; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
  • Park AS; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
  • Bondy ML; Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
  • Amos CI; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Sci Rep ; 12(1): 1891, 2022 02 03.
Article in English | MEDLINE | ID: covidwho-1671627
ABSTRACT
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Linkage Disequilibrium / Genome-Wide Association Study / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-05832-5

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Linkage Disequilibrium / Genome-Wide Association Study / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-05832-5