Most of the members of this group are from the Statistics Section and Biomaths research group of the Department of Mathematics. Below you can find a list of research areas that members of this group are currently working on and/or would like to work on by applying their developed mathematical and statistical methods.

Research areas

Research areas


Publications

Citation

BibTex format

@article{Evangelou:2014:10.1002/gepi.21853,
author = {Evangelou, M and Smyth, DJ and Fortune, MD and Burren, OS and Walker, NM and Guo, H and Onengut-Gumuscu, S and Chen, W-M and Concannon, P and Rich, SS and Todd, JA and Wallace, C},
doi = {10.1002/gepi.21853},
journal = {GENETIC EPIDEMIOLOGY},
pages = {661--670},
title = {A Method for Gene-Based Pathway Analysis Using Genomewide Association Study Summary Statistics Reveals Nine New Type 1 Diabetes Associations},
url = {http://dx.doi.org/10.1002/gepi.21853},
volume = {38},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Evangelou,M
AU - Smyth,DJ
AU - Fortune,MD
AU - Burren,OS
AU - Walker,NM
AU - Guo,H
AU - Onengut-Gumuscu,S
AU - Chen,W-M
AU - Concannon,P
AU - Rich,SS
AU - Todd,JA
AU - Wallace,C
DO - 10.1002/gepi.21853
EP - 670
PY - 2014///
SN - 0741-0395
SP - 661
TI - A Method for Gene-Based Pathway Analysis Using Genomewide Association Study Summary Statistics Reveals Nine New Type 1 Diabetes Associations
T2 - GENETIC EPIDEMIOLOGY
UR - http://dx.doi.org/10.1002/gepi.21853
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000345292600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 38
ER -