Skip to main content
UMR MERIT (IRD, Université Paris Descartes)
→ site web

Mère et enfant en milieu tropical : pathogènes, système de santé et transition épidémiologique

L’unité de recherche MERIT est une unité mixte de recherche entre l’Institut de Recherche pour le Développement (IRD) et l’Université Paris Descartes. Elle conduit des programmes de recherche destinés à comprendre les phénomènes à l’origine de la morbidité et de la mortalité pendant la grossesse, au cours du post-partum et lors des premières années de vie. L’UMR MERIT est caractérisée par une grande multidisciplinarité lui permettant d’aborder ses questions de recherche par des voies complémentaires (épidémiologie, anthropologie, démographie, biologie et biostatistiques) et possède des implantations à Paris, Accra et Cotonou.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 2 of 2 Results
Whole-genome genotyping data of 323 Beninese individuals followed for malaria infections and malaria-related phenotypes
May 18, 2022
Henry, Benoit; Volle, Geoffrey; Akpovi, E. Hilaire; Gineau, Laure; Roussel, Camille; Ndour, Papa Alioune; Tossou, Félicien; Suarez, Felipe; Palstra, Friso; Fricot, Aurélie; Chambrion, Charlotte; Solinc, Julien; Nguyen, Julie; Garé, Mathilde; Aussenac, Florentin; Cottart, Charles-Henry; Keyser, Christine; Adamou, Rafiou; Tichit, Magalie; Hardy, David; Fievet, Nadine; Clain, Jérôme; Garcia, André; Courtin, David; Hermine, Olivier; Sabbagh, Audrey; Buffet, Pierre, 2022, "Whole-genome genotyping data of 323 Beninese individuals followed for malaria infections and malaria-related phenotypes", https://doi.org/10.23708/KDRQMQ, DataSuds, V1
This dataset consists of whole-genome genotyping data for 323 Beninese individuals followed for malaria infections and malaria-related phenotypes in north Benin. Study participants belong to the Fulani, Gando, Bariba, and Otamari ethnic groups and live in sympatry in four rural v...
Raw data for: Genome-Wide Association study of non-severe malaria in two birth cohorts in Benin
Mar 5, 2021
Jacqueline Milet; Anne Boland; Pierre Luisi; Ibrahim Sadissou; Paulin Sonon; Nadia Domingo; Laure Gineau; Friso Palstra; Hervé Perdry; Achille Massougbodji; Jean-François Deleuze; David Courtin; Audrey Sabbagh; André Garcia, 2019, "Raw data for: Genome-Wide Association study of non-severe malaria in two birth cohorts in Benin", https://doi.org/10.23708/EXSQTM, DataSuds, V2
Whole-genome genotyping data for two cohorts of infants followed for malaria infections in south Benin : 525 infants from Tori-Bossito and 275 infants from Allada. Genotyping was performed on Illumina HumanOmni5-4v1 chips. Standard control steps and criteria (Anderson et al. 2010...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact DataSuds Dataverse administrators

DataSuds Dataverse administrators

Please fill this out to prove you are not a robot.

+ =