Literature DB >> 19258469

Control selection options for genome-wide association studies in cohorts.

Sholom Wacholder, Melissa Rotunno.   

Abstract

Investigators planning studies within cohorts have many options for choosing an efficient sampling design for genome-wide association and other molecular epidemiology studies. Consideration of person-year and proportional hazards analyses of full cohorts may add further insight into ramifications of different designs. Empirical evidence from genome-wide association studies can supplement intuition and simulations in comparing properties of various case-control designs within cohorts. Additional theoretical and empirical work, justification of sampling choice in publications, and consideration of context and scientific aims can improve designs and, thereby, increase the scientific value and cost effectiveness of future studies.

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Year:  2009        PMID: 19258469      PMCID: PMC2668974          DOI: 10.1158/1055-9965.EPI-08-1114

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  12 in total

1.  Selecting an efficient design for assessing exposure-disease relationships in an assembled cohort.

Authors:  S Wacholder; M Gail; D Pee
Journal:  Biometrics       Date:  1991-03       Impact factor: 2.571

Review 2.  Design options for molecular epidemiology research within cohort studies.

Authors:  Andrew G Rundle; Paolo Vineis; Habibul Ahsan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-08       Impact factor: 4.254

3.  A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer.

Authors:  David J Hunter; Peter Kraft; Kevin B Jacobs; David G Cox; Meredith Yeager; Susan E Hankinson; Sholom Wacholder; Zhaoming Wang; Robert Welch; Amy Hutchinson; Junwen Wang; Kai Yu; Nilanjan Chatterjee; Nick Orr; Walter C Willett; Graham A Colditz; Regina G Ziegler; Christine D Berg; Saundra S Buys; Catherine A McCarty; Heather Spencer Feigelson; Eugenia E Calle; Michael J Thun; Richard B Hayes; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert N Hoover; Gilles Thomas; Stephen J Chanock
Journal:  Nat Genet       Date:  2007-05-27       Impact factor: 38.330

4.  Flexible design for following up positive findings.

Authors:  Kai Yu; Nilanjan Chatterjee; William Wheeler; Qizhai Li; Sophia Wang; Nathaniel Rothman; Sholom Wacholder
Journal:  Am J Hum Genet       Date:  2007-08-03       Impact factor: 11.025

Review 5.  Why most discovered true associations are inflated.

Authors:  John P A Ioannidis
Journal:  Epidemiology       Date:  2008-09       Impact factor: 4.822

6.  Practical considerations in choosing between the case-cohort and nested case-control designs.

Authors:  S Wacholder
Journal:  Epidemiology       Date:  1991-03       Impact factor: 4.822

Review 7.  A HapMap harvest of insights into the genetics of common disease.

Authors:  Teri A Manolio; Lisa D Brooks; Francis S Collins
Journal:  J Clin Invest       Date:  2008-05       Impact factor: 14.808

8.  More on "Biased selection of controls for case-control analyses of cohort studies".

Authors:  J M Robins; M H Gail; J H Lubin
Journal:  Biometrics       Date:  1986-06       Impact factor: 2.571

9.  Biased selection of controls for case-control analyses of cohort studies.

Authors:  J H Lubin; M H Gail
Journal:  Biometrics       Date:  1984-03       Impact factor: 2.571

10.  Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.

Authors:  Meredith Yeager; Nick Orr; Richard B Hayes; Kevin B Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian J Staats; Eugenia E Calle; Heather Spencer Feigelson; Michael J Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie Weinstein; Fredrick R Schumacher; Edward Giovannucci; Walter C Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L Andriole; Edward P Gelmann; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert Hoover; David J Hunter; Stephen J Chanock; Gilles Thomas
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

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