File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Genetically predicted 17beta-estradiol and cardiovascular risk factors in women: A Mendelian randomization analysis using young women in Hong Kong and older women in the Guangzhou Biobank Cohort Study

TitleGenetically predicted 17beta-estradiol and cardiovascular risk factors in women: A Mendelian randomization analysis using young women in Hong Kong and older women in the Guangzhou Biobank Cohort Study
Authors
KeywordsWomen
Mendelian randomization analysis
Estrogen
Chinese
Cardiovascular risk factors
Issue Date2016
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/annepidem
Citation
Annals of Epidemiology, 2016, v. 26 n. 3, p. 171-175 How to Cite?
AbstractPurpose: The role of estrogen in cardiovascular health remains contested with discrepancies between findings from randomized controlled trials and observational studies. Mendelian randomization, which assesses the effect of lifelong endogenous exposure, may help elucidate these discrepancies. Methods: We used separate sample instrumental variable analysis to estimate the association of log 17β-estradiol with factors related to cardiovascular disease risk (systolic and diastolic blood pressure, lipids, fasting glucose, body mass index, waist hip ratio, and waist circumference) and Framingham score, a predictor of 10-year risk of ischemic heart disease events, in older Chinese women from the Guangzhou Biobank Cohort Study (GBCS, n = 3092). The estimate was derived using the Wald estimator, that is, the ratio of the association of genetic determinants (rs1008805 and rs2175898) of log 17β-estradiol with cardiovascular disease risk factors and Framingham score in GBCS and the association of these genetic determinants with log 17β-estradiol in a sample of young women from Hong Kong (n = 236). Results: Genetically, higher 17β-estradiol was not associated with any cardiovascular disease-related risk factor or with Framingham score (−0.01, 95% confidence interval = −1.34 to 1.31). Conclusions: Lifetime exposure to estrogen does not appear to be cardioprotective via the cardiovascular disease-related risk factors examined.
Persistent Identifierhttp://hdl.handle.net/10722/236619
ISSN
2017 Impact Factor: 2.804
2015 SCImago Journal Rankings: 1.439
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAu Yeung, SLR-
dc.contributor.authorCheng, KK-
dc.contributor.authorZhao, J-
dc.contributor.authorZhang, W-
dc.contributor.authorJiang, C-
dc.contributor.authorLam, TH-
dc.contributor.authorLeung, GM-
dc.contributor.authorSchooling, CM-
dc.date.accessioned2016-12-01T09:08:25Z-
dc.date.available2016-12-01T09:08:25Z-
dc.date.issued2016-
dc.identifier.citationAnnals of Epidemiology, 2016, v. 26 n. 3, p. 171-175-
dc.identifier.issn1047-2797-
dc.identifier.urihttp://hdl.handle.net/10722/236619-
dc.description.abstractPurpose: The role of estrogen in cardiovascular health remains contested with discrepancies between findings from randomized controlled trials and observational studies. Mendelian randomization, which assesses the effect of lifelong endogenous exposure, may help elucidate these discrepancies. Methods: We used separate sample instrumental variable analysis to estimate the association of log 17β-estradiol with factors related to cardiovascular disease risk (systolic and diastolic blood pressure, lipids, fasting glucose, body mass index, waist hip ratio, and waist circumference) and Framingham score, a predictor of 10-year risk of ischemic heart disease events, in older Chinese women from the Guangzhou Biobank Cohort Study (GBCS, n = 3092). The estimate was derived using the Wald estimator, that is, the ratio of the association of genetic determinants (rs1008805 and rs2175898) of log 17β-estradiol with cardiovascular disease risk factors and Framingham score in GBCS and the association of these genetic determinants with log 17β-estradiol in a sample of young women from Hong Kong (n = 236). Results: Genetically, higher 17β-estradiol was not associated with any cardiovascular disease-related risk factor or with Framingham score (−0.01, 95% confidence interval = −1.34 to 1.31). Conclusions: Lifetime exposure to estrogen does not appear to be cardioprotective via the cardiovascular disease-related risk factors examined.-
dc.languageeng-
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/annepidem-
dc.relation.ispartofAnnals of Epidemiology-
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectWomen-
dc.subjectMendelian randomization analysis-
dc.subjectEstrogen-
dc.subjectChinese-
dc.subjectCardiovascular risk factors-
dc.titleGenetically predicted 17beta-estradiol and cardiovascular risk factors in women: A Mendelian randomization analysis using young women in Hong Kong and older women in the Guangzhou Biobank Cohort Study-
dc.typeArticle-
dc.identifier.emailAu Yeung, SLR: ayslryan@hku.hk-
dc.identifier.emailCheng, KK: chengkk@hkucc.hku.hk-
dc.identifier.emailZhao, J: janezhao@hku.hk-
dc.identifier.emailZhang, W: zhangws9@hku.hk-
dc.identifier.emailJiang, C: cqjiang@hkucc.hku.hk-
dc.identifier.emailLam, TH: hrmrlth@hkucc.hku.hk-
dc.identifier.emailLeung, GM: gmleung@hku.hk-
dc.identifier.emailSchooling, CM: cms1@hkucc.hku.hk-
dc.identifier.authorityAu Yeung, SLR=rp02224-
dc.identifier.authorityLam, TH=rp00326-
dc.identifier.authorityLeung, GM=rp00460-
dc.identifier.authoritySchooling, CM=rp00504-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.annepidem.2016.01.005-
dc.identifier.scopuseid_2-s2.0-84960439148-
dc.identifier.hkuros257508-
dc.identifier.volume26-
dc.identifier.issue3-
dc.identifier.spage171-
dc.identifier.epage175-
dc.identifier.eissn1873-2585-
dc.identifier.isiWOS:000372940800002-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats