Evidence map›Paper›PMID 22941042›Full record

ReviewPediatric nephrology (Berlin, Germany)2013

Using height association studies to gain insights into human idiopathic short and syndromic stature phenotypes.

Guillaume Lettre

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric nephrology (Berlin, Germany), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

1 author.

Guillaume LettreMontreal Heart Institute and Université de Montréal, 5000 Bélanger Street, Montreal, Quebec, H1T 1C8, Canada. guillaume.lettre@mhi-humangenetics.org

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in adult height is not the most clinically relevant human quantitative trait, yet its study provides the foundation of many quantitative genetics theories and important statistical concepts (e.g. regression). Even today, the analysis of adult height by genome-wide association studies (GWAS) continues to significantly impact human genetics: these studies have led to the discovery of >200 loci associated with variation in adult height and have highlighted the very polygenic nature of human continuous traits. In this brief review, I discuss and provide examples on how such genetic associations, identified in individuals of normal height, could help understand the complex genetics behind such phenotypes as idiopathic short stature (ISS) or extreme/syndromic height phenotypes of unknown cause.

Indexed as

Child DevelopmentAdolescentAdultAge FactorsBody HeightChildGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyGrowth DisordersHumansPhenotypeQuantitative Trait, HeritableRisk FactorsSyndromeYoung Adult

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.