Evidence map›Paper›PMID 23140989›Full record

ArticleTrends in genetics : TIG2013

The many faces of pleiotropy.

Annalise B Paaby, Matthew V Rockman

Abstract read
In one paragraph

Article in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 237 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
237citing papers in PubMed, 4 pooled it
9.5field-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

237 citing papers in PubMed, 4 syntheses or guidelines pooled it, 458 citations in OpenAlex.

  1. Pooled it
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  13. Graph statistics theory of individualized quantitative genetics under haplotype-resolved genome assembly.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  14. Module-Selection Balance in the Evolution of Modular Organisms.bioRxiv : the preprint server for biology · 2026
    Article
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177 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Annalise B PaabyDepartment of Biology and Center for Genomics & Systems Biology, New York University, 12 Waverly Place, New York, NY 10003, USA.
Matthew V Rockman
Genomics (United Kingdom) · GBNew York University · US

Funding

Discovery and Characterization of Quantitative Trait NucleotidesR01GM089972 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2009 to 2013
$1.5M
Discovering buffered developmental networks underlying C. elegans embryogenesisF32GM090557 · NIGMS · NEW YORK UNIVERSITY · PI PAABY, ANNALISE BLOSS · 2010 to 2012
$115k
NIGMS NIH HHS 5F32GM090557NIGMS NIH HHS F32 GM090557NIGMS NIH HHS R01 GM089972NIGMS NIH HHS R01GM089972
6 · The paper itself

Abstract

Pleiotropy is the well-established phenomenon of a single gene affecting multiple traits. It has long played a central role in theoretical, experimental, and clinical research in genetics, development, molecular biology, evolution, and medicine. In recent years, genomic techniques have brought data to bear on fundamental questions about the nature and extent of pleiotropy. However, these efforts are plagued by conceptual difficulties derived from disparate meanings and interpretations of pleiotropy. Here, we describe distinct uses of the pleiotropy concept and explain the pitfalls associated with applying empirical data to them. We conclude that, for any question about the nature or extent of pleiotropy, the appropriate answer is always 'What do you mean?'.

Indexed as

Models, GeneticMutationGenetic Association StudiesGenetic FitnessGenetic PleiotropyHumans

Identifiers

PMID23140989
PMCPMC3558540
OpenAlexW2036808380

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.