Imperial College London
Professor Philippe Froguel

ProfessorPhilippeFroguel

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Genomic Medicine
 
 
 
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Contact

 

+44 (0)20 7594 6520p.froguel

 
 
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Assistant

 

Mrs Patricia Murphy +44 (0)20 7594 1603

 
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Location

 

E306Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Canouil:2018:10.3389/fgene.2018.00210,
author = {Canouil, M and Balkau, B and Roussel, R and Froguel, P and Rocheleau, G},
doi = {10.3389/fgene.2018.00210},
journal = {FRONTIERS IN GENETICS},
title = {Jointly Modelling Single Nucleotide Polymorphisms With Longitudinal and Time-to-Event Trait: An Application to Type 2 Diabetes and Fasting Plasma Glucose},
url = {http://dx.doi.org/10.3389/fgene.2018.00210},
volume = {9},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In observational cohorts, longitudinal data are collected with repeated measurements at predetermined time points for many biomarkers, along with other variables measured at baseline. In these cohorts, time until a certain event of interest occurs is reported and very often, a relationship will be observed between some biomarker repeatedly measured over time and that event. Joint models were designed to efficiently estimate statistical parameters describing this relationship by combining a mixed model for the longitudinal biomarker trajectory and a survival model for the time until occurrence of the event, using a set of random effects to account for the relationship between the two types of data. In this paper, we discuss the implementation of joint models in genetic association studies. First, we check model consistency based on different simulation scenarios, by varying sample sizes, minor allele frequencies and number of repeated measurements. Second, using genotypes assayed with the Metabochip DNA arrays (Illumina) from about 4,500 individuals recruited in the French cohort D.E.S.I.R. (Data from an Epidemiological Study on the Insulin Resistance syndrome), we assess the feasibility of implementing the joint modelling approach in a real high-throughput genomic dataset. An alternative model approximating the joint model, called the Two-Step approach (TS), is also presented. Although the joint model shows more precise and less biased estimators than its alternative counterpart, the TS approach results in much reduced computational times, and could thus be used for testing millions of SNPs at the genome-wide scale.
AU  - Canouil,M
AU  - Balkau,B
AU  - Roussel,R
AU  - Froguel,P
AU  - Rocheleau,G
DO  - 10.3389/fgene.2018.00210
PY  - 2018///
SN  - 1664-8021
TI  - Jointly Modelling Single Nucleotide Polymorphisms With Longitudinal and Time-to-Event Trait: An Application to Type 2 Diabetes and Fasting Plasma Glucose
T2  - FRONTIERS IN GENETICS
UR  - http://dx.doi.org/10.3389/fgene.2018.00210
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000435402600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/61358
VL  - 9
ER  -
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