TY - JOUR
T1 - Optical genome mapping identifies rare structural variations as predisposition factors associated with severe COVID-19
AU - The COVID19hostgenomesv Consortium
AU - Sahajpal, Nikhil Shri
AU - Jill Lai, Chi Yu
AU - Hastie, Alex
AU - Mondal, Ashis K.
AU - Dehkordi, Siavash Raeisi
AU - van der Made, Caspar I.
AU - Fedrigo, Olivier
AU - Al-Ajli, Farooq
AU - Jalnapurkar, Sawan
AU - Byrska-Bishop, Marta
AU - Kanagal-Shamanna, Rashmi
AU - Levy, Brynn
AU - Schieck, Maximilian
AU - Illig, Thomas
AU - Bacanu, Silviu Alin
AU - Chou, Janet S.
AU - Randolph, Adrienne G.
AU - Rojiani, Amyn M.
AU - Zody, Michael C.
AU - Brownstein, Catherine A.
AU - Beggs, Alan H.
AU - Bafna, Vineet
AU - Jarvis, Erich D.
AU - Hoischen, Alexander
AU - Chaubey, Alka
AU - Kolhe, Ravindra
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022/2/18
Y1 - 2022/2/18
N2 - Impressive global efforts have identified both rare and common gene variants associated with severe COVID-19 using sequencing technologies. However, these studies lack the sensitivity to accurately detect several classes of variants, especially large structural variants (SVs), which account for a substantial proportion of genetic diversity including clinically relevant variation. We performed optical genome mapping on 52 severely ill COVID-19 patients to identify rare/unique SVs as decisive predisposition factors associated with COVID-19. We identified 7 SVs involving genes implicated in two key host-viral interaction pathways: innate immunity and inflammatory response, and viral replication and spread in nine patients, of which SVs in STK26 and DPP4 genes are the most intriguing candidates. This study is the first to systematically assess the potential role of SVs in the pathogenesis of COVID-19 severity and highlights the need to evaluate SVs along with sequencing variants to comprehensively associate genomic information with interindividual variability in COVID-19 phenotypes.
AB - Impressive global efforts have identified both rare and common gene variants associated with severe COVID-19 using sequencing technologies. However, these studies lack the sensitivity to accurately detect several classes of variants, especially large structural variants (SVs), which account for a substantial proportion of genetic diversity including clinically relevant variation. We performed optical genome mapping on 52 severely ill COVID-19 patients to identify rare/unique SVs as decisive predisposition factors associated with COVID-19. We identified 7 SVs involving genes implicated in two key host-viral interaction pathways: innate immunity and inflammatory response, and viral replication and spread in nine patients, of which SVs in STK26 and DPP4 genes are the most intriguing candidates. This study is the first to systematically assess the potential role of SVs in the pathogenesis of COVID-19 severity and highlights the need to evaluate SVs along with sequencing variants to comprehensively associate genomic information with interindividual variability in COVID-19 phenotypes.
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U2 - 10.1016/j.isci.2022.103760
DO - 10.1016/j.isci.2022.103760
M3 - Article
C2 - 35036860
AN - SCOPUS:85123793329
SN - 2589-0042
VL - 25
JO - iScience
JF - iScience
IS - 2
M1 - 103760
ER -