Literature DB >> 11037322

The future of genetic case-control studies.

N J Schork1, D Fallin, B Thiel, X Xu, U Broeckel, H J Jacob, D Cohen.   

Abstract

The case-control study design has been a veritable workhorse in epidemiological research since its inception and acceptance as a valid and valued field of inquiry. The reasons for this owe to the simplicity of the required sampling and the (potential) ease of analysis and interpretation of results. Unfortunately, there are a number of problems that plague the use of the case-control design in assessing relationships between genetic variation and disease susceptibility in the population at large. Many of these problems are entirely analogous to problems that inhere in applications of the case-control design in nongenetic settings. These problems include stratification, the assessment of statistical significance, heterogeneity, and the interpretation of multiple outcomes or phenotypic information. In this chapter we describe 10 problems thought to plague genetic case-control studies and offer potential solutions to each. Many of our proposed solutions require the use of multiple DNA markers to accommodate the genetic background of the individuals sampled as cases and controls. It is hoped that our discussions and proposals will spark further debate about the analysis and ultimate utility of the case-control study in genetic epidemiology research.

Mesh:

Year:  2001        PMID: 11037322     DOI: 10.1016/s0065-2660(01)42023-2

Source DB:  PubMed          Journal:  Adv Genet        ISSN: 0065-2660            Impact factor:   1.944


  27 in total

1.  Complexity and power in case-control association studies.

Authors:  J A Longmate
Journal:  Am J Hum Genet       Date:  2001-04-04       Impact factor: 11.025

2.  Score tests for association between traits and haplotypes when linkage phase is ambiguous.

Authors:  Daniel J Schaid; Charles M Rowland; David E Tines; Robert M Jacobson; Gregory A Poland
Journal:  Am J Hum Genet       Date:  2001-12-27       Impact factor: 11.025

3.  A transmission/disequilibrium test that allows for genotyping errors in the analysis of single-nucleotide polymorphism data.

Authors:  D Gordon; S C Heath; X Liu; J Ott
Journal:  Am J Hum Genet       Date:  2001-07-05       Impact factor: 11.025

4.  Evidence for linkage and association with reading disability on 6p21.3-22.

Authors:  D E Kaplan; J Gayán; J Ahn; T-W Won; D Pauls; R K Olson; J C DeFries; F Wood; B F Pennington; G P Page; S D Smith; J R Gruen
Journal:  Am J Hum Genet       Date:  2002-04-10       Impact factor: 11.025

5.  Proposed guidelines for papers describing DNA polymorphism-disease associations.

Authors:  David N Cooper; Robert L Nussbaum; Michael Krawczak
Journal:  Hum Genet       Date:  2002-02-13       Impact factor: 4.132

6.  Association between mitochondrial DNA variations and Alzheimer's disease in the ADNI cohort.

Authors:  Anita Lakatos; Olga Derbeneva; Danny Younes; David Keator; Trygve Bakken; Maria Lvova; Marty Brandon; Guia Guffanti; Dora Reglodi; Andrew Saykin; Michael Weiner; Fabio Macciardi; Nicholas Schork; Douglas C Wallace; Steven G Potkin
Journal:  Neurobiol Aging       Date:  2010-06-11       Impact factor: 4.673

7.  Control of confounding of genetic associations in stratified populations.

Authors:  Clive J Hoggart; Eteban J Parra; Mark D Shriver; Carolina Bonilla; Rick A Kittles; David G Clayton; Paul M McKeigue
Journal:  Am J Hum Genet       Date:  2003-06       Impact factor: 11.025

8.  Quantification of population structure using correlated SNPs by shrinkage principal components.

Authors:  Fei Zou; Seunggeun Lee; Michael R Knowles; Fred A Wright
Journal:  Hum Hered       Date:  2010-04-23       Impact factor: 0.444

Review 9.  Genomewide association studies in allergy and the influence of ethnicity.

Authors:  Kathleen C Barnes
Journal:  Curr Opin Allergy Clin Immunol       Date:  2010-10

10.  Human dopamine beta-hydroxylase (DBH) regulatory polymorphism that influences enzymatic activity, autonomic function, and blood pressure.

Authors:  Yuqing Chen; Gen Wen; Fangwen Rao; Kuixing Zhang; Lei Wang; Juan L Rodriguez-Flores; Amber P Sanchez; Manjula Mahata; Laurent Taupenot; Ping Sun; Sushil K Mahata; Bamidele Tayo; Nicholas J Schork; Michael G Ziegler; Bruce A Hamilton; Daniel T O'Connor
Journal:  J Hypertens       Date:  2010-01       Impact factor: 4.844

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