Evidence map›Paper›PMID 35782980›Full record

ArticleGenes & diseases2022

First genome-wide association study of 99 body measures derived from 3-dimensional body scans.

Andreas Kühnapfel, Peter Ahnert, Katrin Horn, Holger Kirsten, Markus Loeffler, Markus Scholz

Open access · diamondAbstract read
In one paragraph

Article in Genes & diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Loss ofbioRxiv : the preprint server for biology · 2024
    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

6 authors at 2 institutions in 1 country.

Andreas KühnapfelInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, Leipzig University, Härtelstraße 16-18, Leipzig 04107, Germany.
Peter AhnertInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, Leipzig University, Härtelstraße 16-18, Leipzig 04107, Germany.
Katrin HornInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, Leipzig University, Härtelstraße 16-18, Leipzig 04107, Germany.
Holger KirstenInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, Leipzig University, Härtelstraße 16-18, Leipzig 04107, Germany.
Markus LoefflerInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, Leipzig University, Härtelstraße 16-18, Leipzig 04107, Germany.
Markus ScholzInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, Leipzig University, Härtelstraße 16-18, Leipzig 04107, Germany.
Leipzig University · DEIFB Adiposity Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits with potentially higher functional specificity are not yet studied to a larger extent. Participants of LIFE-Adult were assessed by three-dimensional body scanner VITUS XXL determining 99 high-quality anthropometric traits in parallel. Genotyping was performed by Axiom Genome-Wide CEU 1 Array Plate microarray technology and imputation was done using 1000 Genomes phase 3 reference panel. Combined phenotype and genetic information are available for a total of 7,562 participants. Largest heritabilities were estimated for height traits (maximum heritability with h

Indexed as

3D-anthropometryGenetic correlationGWASHeritabilityPheWAS

Identifiers

PMID35782980
PMCPMC9243350
OpenAlexW3131160949

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.