Literature DB >> 16214603

What makes a good genetic association study?

Andrew T Hattersley1, Mark I McCarthy.   

Abstract

Genetic association studies are central to efforts to identify and characterise genomic variants underlying susceptibility to multifactorial disease. However, obtaining robust replication of initial association findings has proved difficult. Much of this inconsistency can be attributed to inadequacies in study design, implementation, and interpretation--inadequately powered sample groups are a major concern. Several additional factors affect the quality of any given association study, with appropriate sample-recruitment strategy, logical variant selection, minimum genotyping error, relevant data analysis, and valid interpretation all essential to generation of robust findings. Replication has a vital role in showing that associations that are identified reflect interesting biological processes rather than methodological quirks. For an unbiased view of the evidence for and against any particular association, study quality, rather than significance value, needs to play the dominant part.

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Year:  2005        PMID: 16214603     DOI: 10.1016/S0140-6736(05)67531-9

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  148 in total

1.  Intervention, integration and translation in obesity research: Genetic, developmental and metaorganismal approaches.

Authors:  Maureen A O'Malley; Karola Stotz
Journal:  Philos Ethics Humanit Med       Date:  2011-01-28       Impact factor: 2.464

Review 2.  The tension between data sharing and the protection of privacy in genomics research.

Authors:  Jane Kaye
Journal:  Annu Rev Genomics Hum Genet       Date:  2012-03-09       Impact factor: 8.929

3.  The association of CD46, SLAM and CD209 cellular receptor gene SNPs with variations in measles vaccine-induced immune responses: a replication study and examination of novel polymorphisms.

Authors:  Inna G Ovsyannikova; Iana H Haralambieva; Robert A Vierkant; Megan M O'Byrne; Robert M Jacobson; Gregory A Poland
Journal:  Hum Hered       Date:  2011-11-11       Impact factor: 0.444

Review 4.  A systematic review evaluating the methodological aspects of meta-analyses of genetic association studies in cancer research.

Authors:  Stefania Boccia; Emma De Feo; Paola Gallì; Francesco Gianfagna; Rosarita Amore; Gualtiero Ricciardi
Journal:  Eur J Epidemiol       Date:  2010-09-10       Impact factor: 8.082

5.  Identification of genetic risk factors underlying complex multifactorial phenotypes.

Authors:  Michael Posthumus; Alison September; Martin P Schwellnus; Malcolm Collins
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2010-09-25       Impact factor: 4.342

Review 6.  Impact of host genetic polymorphisms on vaccine induced antibody response.

Authors:  Janina E Linnik; Adrian Egli
Journal:  Hum Vaccin Immunother       Date:  2016-01-25       Impact factor: 3.452

7.  Unselfish genes? The quest to uncover genomic influences on prosocial behavior.

Authors:  Kyle G Ratner; Baldwin M Way
Journal:  Soc Neurosci       Date:  2013-09-02       Impact factor: 2.083

8.  Association between single-nucleotide polymorphisms in growth factor genes and quality of life in men with prostate cancer and the general population.

Authors:  Kimberly E Alexander; Suzanne Chambers; Amanda B Spurdle; Jyotsna Batra; Felicity Lose; Tracy A O'Mara; Robert A Gardiner; Joanne F Aitken; Judith A Clements; Mary-Anne Kedda; Monika Janda
Journal:  Qual Life Res       Date:  2015-02-28       Impact factor: 4.147

9.  Pharmacogenetic effect of an endothelin-1 haplotype on response to bucindolol therapy in chronic heart failure.

Authors:  Matthew R G Taylor; Dobromir Slavov; Kurt Humphrey; Lan Zhao; Jennifer Cockroft; Xiao Zhu; Philip Lavori; Michael R Bristow; Luisa Mestroni; Laura C Lazzeroni
Journal:  Pharmacogenet Genomics       Date:  2009-01       Impact factor: 2.089

Review 10.  Type 2 diabetes: new genes, new understanding.

Authors:  Inga Prokopenko; Mark I McCarthy; Cecilia M Lindgren
Journal:  Trends Genet       Date:  2008-10-25       Impact factor: 11.639

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