Evidence map›Paper›PMID 18071627›Full record

ArticleJournal of human genetics2008

Trends in meta-analysis of genetic association studies.

Elias Zintzaras, Joseph Lau

Abstract read
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In one paragraph

Article in Journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. MTHFR gene polymorphism and risk of myeloid leukemia: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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  6. The role of MTHFR gene in multiple myeloma.Journal of human genetics · 2008
    Pooled it
  7. Risk Factor Genes in Patients with Dystonia: A Comprehensive Review.Tremor and other hyperkinetic movements (New York, N.Y.) · 2018
    Review
  8. Association ofBiomedical reports · 2014
    Article
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  20. Interleukin-1B and interleukin-1 receptor antagonist gene polymorphisms in Greek multiple sclerosis (MS) patients with bout-onset MS.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2010
    Article
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

2 authors.

Elias ZintzarasDepartment of Biomathematics, University of Thessaly School of Medicine, Papakyriazi 22, Larissa, 41222, Greece. zintza@med.uth.gr.
Joseph LauCenter for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts-New England Medical Center, Tufts University School of Medicine, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of published genetic association studies (GASs) is increasing tremendously due to the availability of mapped single-nucleotide polymorphisms (SNPs) and advances in genotyping technologies. A search in HuGENet illustrates the rapid accumulation of evidence for major diseases. Recently, there has been a lot of activity regarding genome-wide association studies (GWASs), and a growing number of forthcoming studies is expected. GASs and GWASs are usually underpowered to detect significant associations, and the varying quality of reporting publications befuddles researchers. A meta-analysis can increase power and provide standards of reporting results. However, the conduct of a meta-analysis of GASs faces a major obstacle, which is the structure and diversity of stored information in databases. Similar problems are expected for GWASs, though the data are not yet publicly available. The development of a Web-based system for the detailed and structured recording of GAS or GWAS data, accompanied by an estimation of the overall genetic risk effects, would enable scientists to keep track of evidence for gene-disease associations.

Indexed as

Genetic Predisposition to DiseaseMeta-Analysis as TopicPolymorphism, GeneticDatabases, GeneticEpidemiologic StudiesGenome, HumanGenotypeHumansPhenotype

Identifiers

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.