Sökning: onr:"swepub:oai:DiVA.org:uu-487991" >
Genetically predict...
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Li, XinxuanZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
Genetically predicted high IGF-1 levels showed protective effects on COVID-19 susceptibility and hospitalization : a Mendelian randomisation study with data from 60 studies across 25 countries
- Artikel/kapitelEngelska2022
Förlag, utgivningsår, omfång ...
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eLife Sciences Publications Ltd,2022
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electronicrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:uu-487991
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-487991URI
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https://doi.org/10.7554/eLife.79720DOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:151001095URI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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Background: Epidemiological studies observed gender differences in COVID-19 outcomes, however, whether sex hormone plays a causal in COVID-19 risk remains unclear. This study aimed to examine associations of sex hormone, sex hormones-binding globulin (SHBG), insulin-like growth factor-1 (IGF-1), and COVID-19 risk. Methods: Two-sample Mendelian randomization (TSMR) study was performed to explore the causal associations between testosterone, estrogen, SHBG, IGF-1, and the risk of COVID-19 (susceptibility, hospitalization, and severity) using genome-wide association study (GWAS) summary level data from the COVID-19 Host Genetics Initiative (N=1,348,701). Random-effects inverse variance weighted (IVW) MR approach was used as the primary MR method and the weighted median, MR-Egger, and MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test were conducted as sensitivity analyses. Results: Higher genetically predicted IGF-1 levels have nominally significant association with reduced risk of COVID-19 susceptibility and hospitalization. For one standard deviation increase in genetically predicted IGF-1 levels, the odds ratio was 0.77 (95% confidence interval [CI], 0.61-0.97, p=0.027) for COVID-19 susceptibility, 0.62 (95% CI: 0.25-0.51, p=0.018) for COVID-19 hospitalization, and 0.85 (95% CI: 0.52-1.38, p=0.513) for COVID-19 severity. There was no evidence that testosterone, estrogen, and SHBG are associated with the risk of COVID-19 susceptibility, hospitalization, and severity in either overall or sex-stratified TSMR analysis. Conclusions: Our study indicated that genetically predicted high IGF-1 levels were associated with decrease the risk of COVID-19 susceptibility and hospitalization, but these associations did not survive the Bonferroni correction of multiple testing. Further studies are needed to validate the findings and explore whether IGF-1 could be a potential intervention target to reduce COVID-19 risk.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Zhou, YajingZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Yuan, ShuaiKarolinska Institutet
(författare)
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Zhou, XuanZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Wang, LijuanZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Sun, JingZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Yu, LiliZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Zhu, JinghanSouthern Med Univ, Sch Clin Med 2, Guangzhou, Peoples R China.
(författare)
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Zhang, HanZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Yang, NanZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Dai, ShuhuiZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Song, PeigeZhejiang Univ Sch Med, Womens Hosp, Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Larsson, Susanna C.Karolinska Institutet,Uppsala universitet,Medicinsk epidemiologi,Karolinska Inst, Inst Environm Med, Unit Cardiovasc & Nutr Epidemiol, Stockholm, Sweden.(Swepub:uu)susla720
(författare)
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Theodoratou, EvropiUniv Edinburgh, Usher Inst, Ctr Global Hlth, Edinburgh, Scotland.;Univ Edinburgh, Med Res Council Inst Genet & Canc, Canc Res UK Edinburgh Ctr, Edinburgh, Scotland.
(författare)
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Zhu, YimingZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Li, XueZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(författare)
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Giamarellos-Bourboulis, Evangelos J.
(författare)
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Karolinska InstitutetZhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
(creator_code:org_t)
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Li, Xinxuan
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Zhou, Yajing
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Yuan, Shuai
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Zhou, Xuan
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Wang, Lijuan
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Sun, Jing
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Yu, Lili
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Zhu, Jinghan
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Zhang, Han
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Yang, Nan
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Dai, Shuhui
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Song, Peige
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Larsson, Susanna ...
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Theodoratou, Evr ...
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Zhu, Yiming
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Li, Xue
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