Evidence map›Paper›PMID 28422179›Full record

ArticleScientific reports2017

Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping.

Dimosthenis Tsagkrasoulis, Pirro Hysi, Tim Spector, Giovanni Montana

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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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.

Dimosthenis TsagkrasoulisDepartment of Mathematics, Imperial College London, SW7 2AZ, London, UK.
Pirro HysiDepartment of Twin Research and Genetic Epidemiology, King's College London, SE1 7EH, London, UK.
Tim SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, SE1 7EH, London, UK.
Giovanni MontanaDepartment of Mathematics, Imperial College London, SW7 2AZ, London, UK.

Funding

Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

The human face is a complex trait under strong genetic control, as evidenced by the striking visual similarity between twins. Nevertheless, heritability estimates of facial traits have often been surprisingly low or difficult to replicate. Furthermore, the construction of facial phenotypes that correspond to naturally perceived facial features remains largely a mystery. We present here a large-scale heritability study of face geometry that aims to address these issues. High-resolution, three-dimensional facial models have been acquired on a cohort of 952 twins recruited from the TwinsUK registry, and processed through a novel landmarking workflow, GESSA (Geodesic Ensemble Surface Sampling Algorithm). The algorithm places thousands of landmarks throughout the facial surface and automatically establishes point-wise correspondence across faces. These landmarks enabled us to intuitively characterize facial geometry at a fine level of detail through curvature measurements, yielding accurate heritability maps of the human face (www.heritabilitymaps.info).

Indexed as

Image Processing, Computer-AssistedImaging, Three-DimensionalAlgorithmsCohort StudiesFaceFemaleHumansMiddle AgedPhenotypeTwins

Identifiers

PMID28422179
PMCPMC5395823

What OpenQuestion holds

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LicenceCC BY
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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.