Literature DB >> 11863259

Power and replication in case-control studies.

Jean-Marc Lalouel1, Andreas Rohrwasser.   

Abstract

The case-control study design, a common staple of epidemiology, is increasingly used to test for genetic association. The simplicity of the design accounts for both its appeal and its limitations. Too often, however, apparent controversy arises for lack of appreciation of basic tenets underlying statistical testing. Power and replication are two concepts most commonly ignored in evaluating such studies. We review the basic principles of statistical testing, recall simple means to calculate power, and provide numerical examples pertaining to the association between angiotensinogen and essential hypertension.

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Year:  2002        PMID: 11863259     DOI: 10.1016/s0895-7061(01)02285-3

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  20 in total

1.  Power for genetic association studies with random allele frequencies and genotype distributions.

Authors:  Walter T Ambrosius; Ethan M Lange; Carl D Langefeld
Journal:  Am J Hum Genet       Date:  2004-03-12       Impact factor: 11.025

2.  Association of C1QB gene polymorphism with schizophrenia in Armenian population.

Authors:  Roksana Zakharyan; Aren Khoyetsyan; Arsen Arakelyan; Anna Boyajyan; Anaida Gevorgyan; Anna Stahelova; Frantisek Mrazek; Martin Petrek
Journal:  BMC Med Genet       Date:  2011-09-28       Impact factor: 2.103

Review 3.  A generic research paradigm for identification and validation of early molecular diagnostics and new therapeutics in common disorders.

Authors:  Keith D Coon; Travis L Dunckley; Dietrich A Stephan
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

Review 4.  Role of in silico tools in gene discovery.

Authors:  Bing Yu
Journal:  Mol Biotechnol       Date:  2008-12-20       Impact factor: 2.695

5.  Coding variants of TLR2 and TLR4 genes do not substantially contribute to prosthetic joint infection.

Authors:  Frantisek Mrazek; Jiri Gallo; Anna Stahelova; Martin Petrek
Journal:  Inflamm Res       Date:  2013-02-17       Impact factor: 4.575

6.  Genetic variability of interleukin-1 beta as prospective factor from developing post-traumatic stress disorder.

Authors:  Lilit Hovhannisyan; Ani Stepanyan; Arsen Arakelyan
Journal:  Immunogenetics       Date:  2017-07-05       Impact factor: 2.846

Review 7.  Opportunities and limitations of genetic analysis of hypertensive rat strains.

Authors:  Juan M Saavedra
Journal:  J Hypertens       Date:  2009-06       Impact factor: 4.844

8.  Response to genetic manipulations of liver angiotensinogen in the physiological range.

Authors:  Barbu Gociman; Andreas Rohrwasser; Elaine Hillas; Tong Cheng; Grant Hunter; Jennifer Hunter; Paul Lott; Smith Monson; Jian Ying; J M Lalouel
Journal:  J Hum Genet       Date:  2008-07-04       Impact factor: 3.172

9.  Synergistic effect of MTHFR C677T and F2 G20210A polymorphisms on ischemic stroke.

Authors:  Thierry Paluku They-They; Omar Battas; Sellama Nadifi
Journal:  Neurosci Bull       Date:  2013-10-16       Impact factor: 5.203

10.  Functional polymorphisms in CYP2C19 & CYP3A5 genes associated with decreased susceptibility for paediatric tuberculosis.

Authors:  Wei-Xing Feng; Fang Liu; Yi Gu; Wei-Wei Jiao; Lin Sun; Jing Xiao; Xi-Rong Wu; Qing Miao; Chen Shen; Dan Shen; Adong Shen
Journal:  Indian J Med Res       Date:  2012-05       Impact factor: 2.375

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