Evidence map›Paper›PMID 19184668›Full record

ArticleHuman genetics2009

Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement.

Julian Little, Julian P T Higgins, John P A Ioannidis, David Moher, France Gagnon, Erik von Elm, Muin J Khoury, Barbara Cohen, George Davey-Smith, Jeremy Grimshaw and 20 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 26 pooled it
8.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 26 syntheses or guidelines pooled it, 187 citations in OpenAlex.

  1. Genes · 2023
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  4. The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
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  13. Association between the ESR1 -351A>G single nucleotide polymorphism (rs9340799) and adolescent idiopathic scoliosis: a systematic review and meta-analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2014
    Pooled it
  14. Promoter methylation and polymorphism of E-cadherin gene may confer a risk to prostate cancer: a meta-analysis based on 22 studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  15. Complex association between ERCC2 gene polymorphisms, gender, smoking and the susceptibility to bladder cancer: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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  17. MTHFR genetic polymorphisms may contribute to the risk of chronic myelogenous leukemia in adults: a meta-analysis of 12 genetic association studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  18. Association between ERCC1 C8092A and ERCC2 K751Q polymorphisms and risk of adult glioma: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors at 18 institutions in 5 countries.

Julian LittleCanada Research Chair in Human Genome Epidemiology, Ottawa, Canada. jlittle@uottawa.ca
Julian P T Higgins
John P A Ioannidis
David Moher
France Gagnon
Erik von Elm
Muin J Khoury
Barbara Cohen
George Davey-Smith
Jeremy Grimshaw
Paul Scheet
Marta Gwinn
Robin E Williamson
Guang Yong Zou
Kim Hutchings
Candice Y Johnson
Valerie Tait
Miriam Wiens
Jean Golding
Cornelia van Duijn
John McLaughlin
Andrew Paterson
George Wells
Isabel Fortier
Matthew Freedman
Maja Zecevic
Richard King
Claire Infante-Rivard
Alex Stewart
Nick Birkett
University of Ottawa · CAAmerican Society of Human Genetics · USCenters for Disease Control and Prevention · USDana-Farber Cancer Institute · USGenome Canada · CAInstitute of Social and Preventive Medicine · CHLunenfeld-Tanenbaum Research Institute · CAMcGill University · CAMcGill University and Génome Québec Innovation Centre · CAMRC Biostatistics Unit · GBOffice of Public Health Genomics · USPublic Library of Science · USRobarts Clinical Trials · CASickKids Foundation · CAThe University of Texas MD Anderson Cancer Center · USTufts University · USUniversity of Bristol · GBUniversity of Toronto · CA

Funding

Medical Research Council MC_U105285807
6 · The paper itself

Abstract

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

Indexed as

Genetics, PopulationModels, GeneticResearch DesignGenome-Wide Association StudyGenomicsHumans

Identifiers

PMID19184668
OpenAlexW2178697278

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.