Zuccolo Group
Nello Zuccolo Group, epidemiologi, statistici e data scientist analizzano dati complessi altamente dimensionali per migliorare la nostra comprensione della salute materna e infantile, con particolare attenzione agli effetti intergenerazionali. Sviluppiamo nuove pipeline di dati e acquisizioni di fenotipi, applicando al contempo metodi all’avanguardia per un’inferenza capace di informare la traduzione della conoscenza. Descriviamo le tendenze e le traiettorie di salute e comportamenti che emergono nelle popolazioni contemporanee, studiamo i loro determinanti, identifichiamo i predittori di vulnerabilità e rischio e indaghiamo come le famiglie e in particolare le interazioni genitore-figlio, modellano la salute e il benessere degli individui. L’evidenza risultante aiuterà a stabilire le priorità e aiutare la progettazione di interventi a livello familiare o genitoriale per sostenere la salute materna, infantile e adolescenziale.
FINANZIAMENTI
MSCA Postdoctoral Fellowship – Albert Navarro Gallinad
ALUMNI
- Molly Van der Heiden: Bristol Medical School student intern
- Elham Bahari Kheirjoui: Università degli Studi di Milano MSc student intern
Membri del gruppo
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Luisa Zuccolo
Research Group Leader -
Maeregu Woldeyes Arisido
Postdoc -
Alice Sofia Calvello
Undergraduate Intern -
Sandra Mickwitz
Undergraduate Intern -
Albert Navarro Gallinad
Health Data Scientist -
Valeria Nazzari
PhD Student -
Linda Repetto
Genetic Epidemiologist
Pubblicazioni
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02/2023 - Paedriatic and Perinatal Epidemiology
Bounding the average causal effect in Mendelian randomisation studies with multiple proposed instruments: An application to prenatal alcohol exposure and attention deficit hyperactivity disorder
Background As large-scale observational data become more available, caution regarding causal assumptions remains critically important. This may be especially true for Mendelian randomisation (MR), an increasingly popular approach. Point estimation in MR usually requires strong, often implausible homogeneity assumptions beyond the core instrumental conditions. Bounding, which does not require homogeneity assumptions, is infrequently applied in […]
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01/2023 - Epidemiology
Partial Identification of the Average Causal Effect in Multiple Study Populations: The Challenge of Combining Mendelian Randomization Studies
Background: Researchers often use random-effects or fixed-effects meta-analysis to combine findings from multiple study populations. However, the causal interpretation of these models is not always clear, and they do not easily translate to settings where bounds, rather than point estimates, are computed. Methods: If bounds on an average causal effect of interest in a well-defined […]
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12/2022 - BMC Infectious Diseases
COVID-19 vaccination in pregnancy: views and vaccination uptake rates in pregnancy, a mixed methods analysis from SAIL and the Born-In-Wales Birth Cohort
Background Vaccine hesitancy amongst pregnant women has been found to be a concern during past epidemics. This study aimed to (1) estimate COVID-19 vaccination rates among pregnant women in Wales and their association with age, ethnicity, and area of deprivation, using electronic health record (EHR) data linkage, and (2) explore pregnant women’s views on receiving […]
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12/2022 - Nature
Genetic diversity fuels gene discovery for tobacco and alcohol use
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1–4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals […]
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10/2022 - Journal of the American Heart Association
Alcohol Intake and Hypertensive Disorders of Pregnancy: A Negative Control Analysis in the ALSPAC Cohort
Background Alcohol intake increases blood pressure yet estimates of associations between maternal intake and hypertensive disorders of pregnancy (HDP) are sparse and range from null to a protective effect. Here we estimated the association of maternal drinking during pregnancy with preeclampsia and gestational hypertension (separately and jointly, as HDP). We used partner’s alcohol intake as […]
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