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United States Department of Agriculture

Agricultural Research Service

Title: Turning the pump handle: Evolving methods for integrating the evidence on gene-disease association

item Higgins, Julian - MRC BIOSTAT, CAMBRIDGE,UK
item Little, Julian - U OTTAWA, ONTARIO, CANADA
item Ionnidis, John - U IONNIA, IOANNINA,GREECE
item Bray, Molly
item Manolio, Teri - NHGRI, NIH, BETHESDA, MD
item Smeeth, Liam - LNDN HYG TRP MED, LNDN,UK
item Sterne, Jonathan - U BRISTOL, BRISTOL, UK
item Anagostelis, Betsy - U COL LONDON, LONDON, UK
item Butterworth, Adam - U CAMBRIDGE, CAMBRIDGE,UK
item Dezateux, Carol - U COL LONDON, LONDON, UK
item Gallacher, John - CARDIFF U, WALES, UK
item Gwinn, Marta - CDC, ATLANTA, GA
item Lewis, Sarah - U BRISTOL, BRISTOL, UK
item Minelli, Cosetta - IMPERIAL COL, LONDON, UK
item Pharoah, Paul - U CAMBRIDGE, CAMBRIDGE,UK
item Salanti, Georgia - U IONNIA, IOANNINA,GREECE
item Sanderson, Simon - U CAMBRIDGE, CAMBRIDGE,UK
item Smith, Lesley - OXFORD BRKS U, OXFORD,UK
item Taioli, Emanuela - U PITTSBURGH, PITTSBRG,PA
item Thompson, John - U CAMBRIDGE, CAMBRIDGE,UK
item Thompson, Simon - MRC BIOSTAT, CAMBRIDGE,UK
item Zimmern, Ron - PHG FNDA, CAMBRIDGE, UK
item Khoury, Muin - CDC, ATLANTA, GA

Submitted to: American Journal of Epidemiology
Publication Type: Review Article
Publication Acceptance Date: August 1, 2007
Publication Date: October 15, 2007
Citation: Higgins, J.P., Little, J., Ionnidis, J.P., Bray, M.S., Manolio, T.A., Smeeth, L., Sterne, J.A., Anagostelis, B., Butterworth, A.S., Danesh, J., Dezateux, C., Gallacher, J.E., Gwinn, M., Lewis, S.J., Minelli, C., Pharoah, P.D., Salanti, G., Sanderson, S., Smith, L.A., Taioli, E., Thompson, J.R., Thompson, S.G., Walker, N., Zimmern, R.L., Khoury, M.J. 2007. Turning the pump handle: Evolving methods for integrating the evidence on gene-disease association. American Journal of Epidemiology. 166(8):863-866.

Technical Abstract: Recent findings from genome-wide association studies have demonstrated their considerable potential for identifying genetic determinants of common diseases of public health significance such as cancer, heart disease, and diabetes, but they have also highlighted the continued importance of targeted genotyping to replicate genome-wide association findings. Approaches to the integration of evidence in human genome epidemiology have evolved rapidly in the last few years. The combination of results from multiple studies, often known as meta-analysis, has a key role both in enhancing power and in characterizing relative risks. As evidence accumulates on genetic variants that confer identifiable effects on disease susceptibility, so does the need to summarize the evidence in digestible and accessible formats. Here, we describe how the Human Genome Epidemiology Network (HuGENet) is keeping abreast of developments in methods for collating and synthesizing the evidence.

Last Modified: 7/26/2016
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