Evidence map›Paper›PMID 24253421›Full record

ArticleHuman genetics2014

Common DNA variants predict tall stature in Europeans.

Fan Liu, A Emile J Hendriks, Arwin Ralf, Annemieke M Boot, Emelie Benyi, Lars Sävendahl, Ben A Oostra, Cornelia van Duijn, Albert Hofman, Fernando Rivadeneira and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Forensic genetics in the omics era.Nature reviews. Genetics · 2026
    Review
  4. Review
  5. [Application of HIrisPlex-S System in Forensic DNA Phenotyping].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. DNA makes an appearance.Nature biotechnology · 2018
    Article
  13. Article
  14. Article
  15. Prediction of male-pattern baldness from genotypes.European journal of human genetics : EJHG · 2016
    Article
  16. Article
  17. Article
  18. Short and tall stature: a new paradigm emerges.Nature reviews. Endocrinology · 2015
    Review
  19. Article
  20. 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

13 authors at 4 institutions in 2 countries.

Fan LiuDepartment of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, P. O. Box 2040, 3000 CA, Rotterdam, The Netherlands, f.liu@erasmusmc.nl.
A Emile J Hendriks
Arwin Ralf
Annemieke M Boot
Emelie Benyi
Lars Sävendahl
Ben A Oostra
Cornelia van Duijn
Albert Hofman
Fernando Rivadeneira
André G Uitterlinden
Stenvert L S Drop
Manfred Kayser
Erasmus MC · NLKarolinska Institutet · SEErasmus University Rotterdam · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic prediction of the extreme forms of adult body height or stature is of practical relevance in several areas such as pediatric endocrinology and forensic investigations. Here, we examine 770 extremely tall cases and 9,591 normal height controls in a population-based Dutch European sample to evaluate the capability of known height-associated DNA variants in predicting tall stature. Among the 180 normal height-associated single nucleotide polymorphisms (SNPs) previously reported by the Genetic Investigation of ANthropocentric Traits (GIANT) genome-wide association study on normal stature, in our data 166 (92.2 %) showed directionally consistent effects and 75 (41.7 %) showed nominally significant association with tall stature, indicating that the 180 GIANT SNPs are informative for tall stature in our Dutch sample. A prediction analysis based on the weighted allele sums method demonstrated a substantially improved potential for predicting tall stature (AUC = 0.75; 95 % CI 0.72-0.79) compared to a previous attempt using 54 height-associated SNPs (AUC = 0.65). The achieved accuracy is approaching practical relevance such as in pediatrics and forensics. Furthermore, a reanalysis of all SNPs at the 180 GIANT loci in our data identified novel secondary association signals for extreme tall stature at TGFB2 (P = 1.8 × 10(-13)) and PCSK5 (P = 7.8 × 10(-11)) suggesting the existence of allelic heterogeneity and underlining the importance of fine analysis of already discovered loci. Extrapolating from our results suggests that the genomic prediction of at least the extreme forms of common complex traits in humans including common diseases are likely to be informative if large numbers of trait-associated common DNA variants are available.

Indexed as

Body HeightCohort StudiesDNAFemaleGenome-Wide Association StudyHumansMaleNetherlandsPolymorphism, Single NucleotideWhite PeopleDNA

Identifiers

PMID24253421
OpenAlexW2017892126

What OpenQuestion holds

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Registered trials

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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.