Early Metabolomic Profiling Scores Improves the Prediction of Type 2 Diabetes in the Prospective DESIR Study

Loic Yengo; Abdelilah Arredouani; Michel Marre; Beverley Balkau; Amelie Bonnefond; Philippe Froguel

Early Metabolomic Profiling Scores Improves the Prediction of Type 2 Diabetes in the Prospective DESIR Study

Loic Yengo, Abdelilah Arredouani, Michel Marre, Beverley Balkau, Amelie Bonnefond, Philippe Froguel

QBRI - Diabetes Research Center

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	A20-A20
Number of pages	1
Journal	Diabetes
Volume	64
Publication status	Published - Jun 2015
Event	75th Scientific Sessions of the American-Diabetes-Association - Boston, Morocco Duration: 5 Jun 2015 → 9 Jun 2015

Cite this

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title = "Early Metabolomic Profiling Scores Improves the Prediction of Type 2 Diabetes in the Prospective DESIR Study",

author = "Loic Yengo and Abdelilah Arredouani and Michel Marre and Beverley Balkau and Amelie Bonnefond and Philippe Froguel",

year = "2015",

month = jun,

language = "English",

volume = "64",

pages = "A20--A20",

journal = "Diabetes",

issn = "0012-1797",

publisher = "American Diabetes Association Inc.",

note = "75th Scientific Sessions of the American-Diabetes-Association ; Conference date: 05-06-2015 Through 09-06-2015",

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TY - JOUR

T1 - Early Metabolomic Profiling Scores Improves the Prediction of Type 2 Diabetes in the Prospective DESIR Study

AU - Yengo, Loic

AU - Arredouani, Abdelilah

AU - Marre, Michel

AU - Balkau, Beverley

AU - Bonnefond, Amelie

AU - Froguel, Philippe

PY - 2015/6

Y1 - 2015/6

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=hbku_researchportal&SrcAuth=WosAPI&KeyUT=WOS:000359482700074&DestLinkType=FullRecord&DestApp=WOS_CPL

M3 - Meeting Abstract

SN - 0012-1797

VL - 64

SP - A20-A20

JO - Diabetes

JF - Diabetes

T2 - 75th Scientific Sessions of the American-Diabetes-Association

Y2 - 5 June 2015 through 9 June 2015

ER -

Early Metabolomic Profiling Scores Improves the Prediction of Type 2 Diabetes in the Prospective DESIR Study

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