4 results on '"Jaquaniello, Anthony"'
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2. Unravelling the determinants of human health in French Polynesia: the MATAEA project
- Author
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Teiti, Iotefa, primary, Aubry, Maite, additional, Fernandes-Pellerin, Sandrine, additional, Patin, Etienne, additional, Madec, Yoann, additional, Boucheron, Pauline, additional, Vanhomwegen, Jessica, additional, Torterat, Jérémie, additional, Lastère, Stéphane, additional, Olivier, Sophie, additional, Jaquaniello, Anthony, additional, Roux, Maguelonne, additional, Mendiboure, Vincent, additional, Harmant, Christine, additional, Bisiaux, Aurélie, additional, Rijo de León, Gaston, additional, Liu, Dang, additional, Bossin, Hervé, additional, Mathieu-Daudé, Françoise, additional, Gatti, Clémence, additional, Suhas, Edouard, additional, Chung, Kiyojiken, additional, Condat, Bertrand, additional, Ayotte, Pierre, additional, Conte, Eric, additional, Jolly, Nathalie, additional, Manuguerra, Jean-Claude, additional, Sakuntabhai, Anavaj, additional, Fontanet, Arnaud, additional, Quintana-Murci, Lluis, additional, and Cao-Lormeau, Van-Mai, additional
- Published
- 2023
- Full Text
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3. Unravelling the determinants of human health in French Polynesia: the MATAEA project
- Author
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Teiti, Iotefa, Aubry, Maite, Fernandes-pellerin, Sandrine, Patin, Etienne, Madec, Yoann, Boucheron, Pauline, Vanhomwegen, Jessica, Torterat, Jérémie, Lastère, Stéphane, Olivier, Sophie, Jaquaniello, Anthony, Roux, Maguelonne, Mendiboure, Vincent, Harmant, Christine, Bisiaux, Aurélie, De León, Gaston Rijo, Liu, Dang, Bossin, Hervé, Mathieu-daudé, Françoise, Gatti, Clémence, Suhas, Edouard, Chung, Kiyojiken, Condat, Bertrand, Ayotte, Pierre, Prud’homme, Nicolas, Conte, Eric, Jolly, Nathalie, Manugerra, Jean-claude, Sakuntabhai, Anavaj, Fontanet, Arnaud, Quintana-murci, Lluis, Cao-lormeau, Van-mai, Teiti, Iotefa, Aubry, Maite, Fernandes-pellerin, Sandrine, Patin, Etienne, Madec, Yoann, Boucheron, Pauline, Vanhomwegen, Jessica, Torterat, Jérémie, Lastère, Stéphane, Olivier, Sophie, Jaquaniello, Anthony, Roux, Maguelonne, Mendiboure, Vincent, Harmant, Christine, Bisiaux, Aurélie, De León, Gaston Rijo, Liu, Dang, Bossin, Hervé, Mathieu-daudé, Françoise, Gatti, Clémence, Suhas, Edouard, Chung, Kiyojiken, Condat, Bertrand, Ayotte, Pierre, Prud’homme, Nicolas, Conte, Eric, Jolly, Nathalie, Manugerra, Jean-claude, Sakuntabhai, Anavaj, Fontanet, Arnaud, Quintana-murci, Lluis, and Cao-lormeau, Van-mai
- Abstract
BackgroundFrench Polynesia is a French overseas collectivity in the Southeast Pacific, comprising 75 inhabited islands across five archipelagoes. The human settlement of the region corresponds to the last massive migration of humans to empty territories, but its timeline is still debated. Despite their recent population history and geographical isolation, inhabitants of French Polynesia experience health issues similar to those of continental countries. Modern lifestyles and increased longevity have led to a rise in non-communicable diseases (NCDs) such as obesity, diabetes, hypertension, and cardiovascular diseases. Likewise, international trade and people mobility have caused the emergence of communicable diseases (CDs) including mosquito-borne and respiratory diseases. Additionally, chronic pathologies including acute rheumatic fever, liver diseases, and ciguatera, are highly prevalent in French Polynesia. However, data on such diseases are scarce and not representative of the geographic fragmentation of the population. ObjectivesThe MATAEA project aims to estimate the prevalence of several NCDs and CDs in the population of the five archipelagoes, and identify associated risk factors. Moreover, genetic analyses will contribute to determinate the sequence and timings of the peopling history of French Polynesia, and identify causal links between past genetic adaptation to island environments, and present-day susceptibility to certain diseases. MethodsThis cross-sectional survey is based on the random selection of 2,100 adults aged 18-69 years and residing on 18 islands from the five archipelagoes. Each participant answered a questionnaire on a wide range of topics (including demographic characteristics, lifestyle habits and medical history), underwent physical measurements (height, weight, waist circumference, arterial pressure, and skin pigmentation), and provided biological samples (blood, saliva, and stool) for biological, genetic and microbiological analyses. C
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- 2023
- Full Text
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4. Factors Driving DNA Methylation Variation in Human Blood
- Author
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Bergstedt, Jacob, Azzou, Sadoune, Tsuo, Kristin, Jaquaniello, Anthony, Urrutia, Alejandra, Rotival, Maxime, Lin, David, MacIsaac, Julia, Kobor, Michael, Albert, Matthew, Duffy, Darragh, Patin, Etienne, Quintana-Murci, Lluís, Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Génomique évolutive, modélisation et santé (CNRS-UMR2000), Karolinska Institutet [Stockholm], Insitro [San Francisco], University of British Columbia (UBC), Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris], Collège de France (CdF (institution)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Génomique évolutive, modélisation et santé (GEMS), and Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité)
- Subjects
[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics - Abstract
Posté sur BioRxiv le 24 juin 2021; Epigenetic changes are required for normal development and health, and can also underlie disease states; yet, the nature and respective contribution of factors that drive epigenetic variation in humans remain to be fully characterized. Here, we assessed how the blood DNA methylome of 958 adults is affected by genetic variation, aging, sex and 139 diverse environmental exposures, and investigated whether these effects are direct or mediated by changes in cellular composition, measured by deep immunophenotyping. We show that cellular heterogeneity and DNA sequence variation are the strongest predictors of DNA methylation levels. We identify latent cytomegalovirus infection as a major driver of DNA methylation variation and delineate three distinct effects of aging on DNA methylation, including increased dispersion consistent with epigenetic drift. Our rich dataset provides a unique resource for the design and interpretation of epigenetic studies and highlight critical factors in medical epigenomics studies.
- Published
- 2021
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