• en 
  • fr 
  • Home
  • News
  • Laboratory
    • Director
    • Organization chart
    • Bibliography
    • Hcéres report
    • Tools
  • Research
    • TEAM – Metabolic functional (epi)genomics and their abnormalities in type 2 diabetes and related disorders
  • Plateforms
    • Genomic plateform – LIGAN
    • Bio-bank
    • Bio-informatics / Bio-statistics
    • Informatics
  • Trainings
    • Students
    • Master 2
    • Theses
    • Theses library
    • EGID school
  • Job
  • Contacts
    • Contact us
    • Location
    • Accomodation
  • en 
  • fr 
  • Home
  • News
  • Laboratory
    • Director
    • Organization chart
    • Bibliography
    • Hcéres report
    • Tools
  • Research
    • TEAM – Metabolic functional (epi)genomics and their abnormalities in type 2 diabetes and related disorders
  • Plateforms
    • Genomic plateform – LIGAN
    • Bio-bank
    • Bio-informatics / Bio-statistics
    • Informatics
  • Trainings
    • Students
    • Master 2
    • Theses
    • Theses library
    • EGID school
  • Job
  • Contacts
    • Contact us
    • Location
    • Accomodation

A new breakthrough in the understanding of obesity

Posted on 8 November 2019

A new article from the lab on MRAP2 gene linking monogenic obesity, diabetes and hypertension:

https://www.nature.com/articles/s41591-019-0622-0

mrap2

Posted in Actualités, Press review, Revue de presse

Post navigation

Fête de la science 2019
PreciDIAB présent dans la revue de la MEL
DÉPOSEZ VOTRE CANDIDATURE SPONTANÉE



SPONTANEOUS JOB APPLICATION

Search

Recent Posts

  • Spontaneous job application
  • SGGD 2022 – Online Registration & Abstract Submission Open
  • Replay Live Facebook – Journée Mondiale du Diabète
  • Save the date : 8th Meeting of EASD Study Group on Genetics of Diabetes / 11-13 May 2022
  • Save the date: Symposium EGID / December 14th 2021
  • Actualités
  • Location
  • Contact us
  • Nous suivre @en
  • Quelle est la probabilité pour votre patient d'être diabétique de type MODY ?

    Remplir le formulaire
  • Equipex LIGAN (Lille Integrated Genomic Advanced Network) :

    plateforme de séquençage et de génotypage à haut débit
  • Tweets de @UMR1283
  • Disclaimer
  • Sitemap

Copyright © 2000-2025 CNRS UMR1283