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Alba Fernández-Sanlés
Researcher at University of Bristol
Publications - 4
Citations - 65
Alba Fernández-Sanlés is an academic researcher from University of Bristol. The author has contributed to research in topics: Longitudinal study & Disease. The author has an hindex of 3, co-authored 3 publications receiving 18 citations. Previous affiliations of Alba Fernández-Sanlés include Pompeu Fabra University.
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Journal ArticleDOI
Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC
Alba Fernández-Sanlés,Daniel J. Smith,Gemma L. Clayton,Kate Northstone,Alice R Carter,Louise A C Millard,Maria Carolina Borges,Nicholas J. Timpson,Kate Tilling,Gareth J Griffith,Debbie A Lawlor +10 more
TL;DR: Ass associations of pre-pandemic sociodemographic, behavioural, anthropometric and health-related factors with questionnaire invitation and response in COVID-19 questionnaire data collection in a multigenerational birth cohort are assessed.
Journal ArticleDOI
High-density lipoprotein characteristics and coronary artery disease: a Mendelian randomization study
Albert Prats-Uribe,Albert Prats-Uribe,Sergi Sayols-Baixeras,Alba Fernández-Sanlés,Alba Fernández-Sanlés,Isaac Subirana,Robert Carreras-Torres,Gemma Vilahur,Fernando Civeira,Jaume Marrugat,Montserrat Fitó,Álvaro Hernáez,Roberto Elosua,Roberto Elosua +13 more
TL;DR: Some qualitative HDL characteristics (related to size, particle distribution, and cholesterol and triglyceride content) are related to CAD risk whilst HDL cholesterol levels are not, and the effect size of the associations of interest is estimated.
Journal ArticleDOI
DNA methylation and gene expression integration in cardiovascular disease.
TL;DR: In this paper, the authors integrated DNA methylation and gene expression data in an effort to identify biomarkers related to cardiovascular disease risk in a community-based population, and they identified four independent latent factors (9, 19, 21 and 27) driven by DNA methylization, were associated with cardiovascular disease independently of classical risk factors and cell-type counts.
Journal ArticleDOI
Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC
Kate Northstone,Nicholas J. Timpson,Louise A C Millard,Debbie A Lawlor,Daniel J. Smith,Gemma L. Clayton,Alice R Carter,Gareth J Griffith,Alba Fernández-Sanlés,СИРЛИЕВ Э.Н.,David VanHoose +10 more
TL;DR: In this article , the authors describe factors relating to questionnaire invitation and response in COVID-19 questionnaire data collection in a multigenerational birth cohort (the Avon Longitudinal Study of Parents and Children, ALSPAC) and assess associations of pre-pandemic sociodemographic, behavioural, anthropometric and healthrelated factors with: i) being sent a questionnaire, ii) returning a questionnaire; iii) item response (for specific questions).