Evidence map›Paper›PMID 23724904›Full record

ReviewAnnual review of genomics and human genetics2013

The power of meta-analysis in genome-wide association studies.

Orestis A Panagiotou, Cristen J Willer, Joel N Hirschhorn, John P A Ioannidis

Abstract readReview
In one paragraph

Review in Annual review of genomics and human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 17 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

69 citing papers in PubMed, 17 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Meta-Analysis for Epigenome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022
    Pooled it
  9. Pooled it
  10. Pooled it
  11. Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2016
    Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Pooled it
  17. Pooled it
  18. Trial
  19. Article
  20. Article

9 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

4 authors.

Orestis A PanagiotouClinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece; email: orestis.panagiotou@nih.gov.
Cristen J Willer
Joel N Hirschhorn
John P A Ioannidis

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
Genetic Variants Associated with HDL and LDL Cholesterol, and Triglyceride LevelsR00HL094535 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2011 to 2013
$724k
NHLBI NIH HHS R00 HL094535NIDDK NIH HHS R01 DK075787NIDDK NIH HHS R01DK07587
6 · The paper itself

Abstract

Meta-analysis of multiple genome-wide association (GWA) studies has become common practice over the past few years. The main advantage of this technique is the maximization of power to detect subtle genetic effects for common traits. Moreover, one can use meta-analysis to probe and identify heterogeneity in the effect sizes across the combined studies. In this review, we systematically appraise and evaluate the characteristics of GWA meta-analyses with 10,000 or more subjects published up to June 2012. We provide an overview of the current landscape of variants discovered by GWA meta-analyses, and we discuss and assess with extrapolations from empirical data the value of larger meta-analyses for the discovery of additional genetic associations and new biology in the future. Finally, we discuss some emerging logistical and practical issues related to the conduct of meta-analysis of GWA studies.

Indexed as

Genome, HumanGenome-Wide Association StudyGenetics, MedicalHapMap ProjectHumansMeta-Analysis as Topic

Identifiers

PMID23724904
PMCPMC4040957

What OpenQuestion holds

Textmetadata
LicenceTDM
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.