Search: onr:"swepub:oai:DiVA.org:uu-487991" >
Genetically predict...
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
-
- Li, Xinxuan (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Zhou, Yajing (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Yuan, Shuai (author)
- Karolinska Institutet
-
show more...
-
- Zhou, Xuan (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Wang, Lijuan (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Sun, Jing (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Yu, Lili (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Zhu, Jinghan (author)
- Southern Med Univ, Sch Clin Med 2, Guangzhou, Peoples R China.
-
- Zhang, Han (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Yang, Nan (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Dai, Shuhui (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Song, Peige (author)
- Zhejiang Univ Sch Med, Womens Hosp, Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Larsson, Susanna C. (author)
- Karolinska Institutet,Uppsala universitet,Medicinsk epidemiologi,Karolinska Inst, Inst Environm Med, Unit Cardiovasc & Nutr Epidemiol, Stockholm, Sweden.
-
- Theodoratou, Evropi (author)
- Univ Edinburgh, Usher Inst, Ctr Global Hlth, Edinburgh, Scotland.;Univ Edinburgh, Med Res Council Inst Genet & Canc, Canc Res UK Edinburgh Ctr, Edinburgh, Scotland.
-
- Zhu, Yiming (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
- Li, Xue (author)
- Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.
-
Giamarellos-Bourboulis, Evangelos J. (author)
-
show less...
-
Karolinska Institutet Zhejiang 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)
- eLife Sciences Publications Ltd, 2022
- 2022
- English.
-
In: eLIFE. - : eLife Sciences Publications Ltd. - 2050-084X. ; 11
- Related links:
-
https://doi.org/10.7...
-
show more...
-
https://uu.diva-port... (primary) (Raw object)
-
https://urn.kb.se/re...
-
https://doi.org/10.7...
-
http://kipublication...
-
show less...
Abstract
Subject headings
Close
- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Keyword
- sex hormones
- IGF-1
- COVID-19
- Mendelian randomization
- Viruses
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
-
eLIFE
(Search for host publication in LIBRIS)
To the university's database
- By the author/editor
-
Li, Xinxuan
-
Zhou, Yajing
-
Yuan, Shuai
-
Zhou, Xuan
-
Wang, Lijuan
-
Sun, Jing
-
show more...
-
Yu, Lili
-
Zhu, Jinghan
-
Zhang, Han
-
Yang, Nan
-
Dai, Shuhui
-
Song, Peige
-
Larsson, Susanna ...
-
Theodoratou, Evr ...
-
Zhu, Yiming
-
Li, Xue
-
Giamarellos-Bour ...
-
show less...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
-
MEDICAL AND HEAL ...
-
and Health Sciences
-
and Public Health Gl ...
- Articles in the publication
-
eLIFE
- By the university
-
Uppsala University
-
Karolinska Institutet