Methods for meta-analysis in genetic association studies: a review of their potential and pitfalls (Q37008455)

17 August 2017

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title

Methods for meta-analysis in genetic association studies: a review of their potential and pitfalls (English)

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17 August 2017

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2

John P A Ioannidis

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author name string

Fotini K Kavvoura

series ordinal

1

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17 August 2017

publication date

17 November 2007

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17 August 2017

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17 August 2017

volume

123

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17 August 2017

issue

1

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17 August 2017

page(s)

1-14

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Sample bias among women with retained DNA samples for future genetic studies

17 August 2017

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Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels

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Comparison of DNA- and RNA-based methods for detection of truncating BRCA1 mutations

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Counterpoint: bias from population stratification is not a major threat to the validity of conclusions from epidemiological studies of common polymorphisms and cancer.

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Clinical epidemiological quality in molecular genetic research: the need for methodological standards

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New models of collaboration in genome-wide association studies: the Genetic Association Information Network

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Genome-wide association study identifies novel breast cancer susceptibility loci

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Invited commentary: a critical look at some popular meta-analytic methods

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Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes

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In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias

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The publication process itself was the major cause of publication bias in genetic epidemiology

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The Emergence of Networks in Human Genome Epidemiology

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Meta-analysis of Observational Studies in Epidemiology: A Proposal for Reporting

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Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies

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Replicating genotype-phenotype associations

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Early extreme contradictory estimates may appear in published research: the Proteus phenomenon in molecular genetics research and randomized trials

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Flexible design for following up positive findings

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Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database

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An empirical evaluation of multifarious outcomes in pharmacogenetics: beta-2 adrenoceptor gene polymorphisms in asthma treatment

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Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care.

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Genetics of ischaemic stroke among persons of non-European descent: a meta-analysis of eight genes involving approximately 32,500 individuals

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CTLA-4 gene polymorphisms and susceptibility to type 1 diabetes mellitus: a HuGE Review and meta-analysis

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Beta blockade during and after myocardial infarction: an overview of the randomized trials

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Genetic variation and willingness to participate in epidemiologic research: data from three studies

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Population stratification in epidemiologic studies of common genetic variants and cancer: quantification of bias

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Turning the Pump Handle: Evolving Methods for Integrating the Evidence on Gene-Disease Association

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Genomic control, a new approach to genetic-based association studies

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Association of gene polymorphism with genetic susceptibility to stroke in Asian populations: a meta-analysis

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Common genetic variants for breast cancer: 32 largely refuted candidates and larger prospects

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Association of collagen Ialpha 1 Sp1 polymorphism with the risk of prevalent fractures: a meta-analysis.

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Summing up evidence: one answer is not always enough.

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‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*

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12 December 2020

10.1007/S00439-007-0445-9

Identifiers

DOI

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17 August 2017

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