Evidence map›Paper›PMID 33938623›Full record

ArticleAmerican journal of medical genetics. Part A2021

Craniofacial features of 3q29 deletion syndrome: Application of next-generation phenotyping technology.

Bryan C Mak, Rossana Sanchez Russo, Michael J Gambello, Nicole Fleischer, Emily D Black, Elizabeth Leslie, Melissa M Murphy, Emory 3q29 Project, Jennifer Gladys Mulle

Abstract read
In one paragraph

Article in American journal of medical genetics. Part A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Loss-of-function of the Zinc Finger Homeobox 4 (medRxiv : the preprint server for health sciences · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Deep phenotyping in 3q29 deletion syndrome: recommendations for clinical care.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    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

9 authors.

Bryan C MakDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-7017-811X
Rossana Sanchez RussoDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.ORCID 0000-0003-0423-2557
Michael J GambelloDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.
Nicole FleischerFDNA Inc, Boston, Massachusetts, USA.
Emily D BlackDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.
Elizabeth LeslieDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.
Melissa M MurphyDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-5957-4944
Emory 3q29 ProjectDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.
Jennifer Gladys MulleDepartment of Human Genetics, Emory University School, of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-8593-8468

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM008490 · NIGMS · EMORY UNIVERSITY · PI BOSS, JEREMY M. · 1993 to 2022
$8.0M
Modeling the Human Neuronal Phenotype of the Schizophrenia-Associated 3q29 deletionR01MH110701 · NIMH · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI MULLE, JENNIFER GLADYS · 2017 to 2021
$3.2M
1/2 Targeted Sequencing and Functional Evaluation of Mutations in SchizophreniaR01MH100917 · NIMH · EMORY UNIVERSITY · PI MULLE, JENNIFER GLADYS, WARREN, STEPHEN T. · 2014 to 2017
$2.1M
Neuroimaging of the schizophrenia-associated 3q29 deletionR01MH118534 · NIMH · EMORY UNIVERSITY · PI MULLE, JENNIFER GLADYS, SHULTZ, SARAH · 2019 to 2023
$1.9M
NIGMS NIH HHS T32 GM008490NIMH NIH HHS R01 MH100917NIMH NIH HHS R01 MH110701NIMH NIH HHS R01 MH118534
6 · The paper itself

Abstract

3q29 deletion syndrome (3q29del) is a recurrent deletion syndrome associated with neuropsychiatric disorders and congenital anomalies. Dysmorphic facial features have been described but not systematically characterized. This study aims to detail the 3q29del craniofacial phenotype and use a machine learning approach to categorize individuals with 3q29del through analysis of 2D photos. Detailed dysmorphology exam and 2D facial photos were ascertained from 31 individuals with 3q29del. Photos were used to train the next-generation phenotyping algorithm DeepGestalt (Face2Gene by FDNA, Inc, Boston, MA) to distinguish 3q29del cases from controls and all other recognized syndromes. Area under the curve of receiver operating characteristic curves (AUC-ROC) was used to determine the capacity of Face2Gene to identify 3q29del cases against controls. In this cohort, the most common observed craniofacial features were prominent forehead (48.4%), prominent nose tip (35.5%), and thin upper lip vermillion (25.8%). The FDNA technology showed an ability to distinguish cases from controls with an AUC-ROC value of 0.873 (p = 0.006) and led to the inclusion of 3q29del as one of the supported syndromes. This study found a recognizable facial pattern in 3q29del, as observed by trained clinical geneticists and next-generation phenotyping technology. These results expand the potential application of automated technology such as FDNA in identifying rare genetic syndromes, even when facial dysmorphology is subtle.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAlgorithmsBiological Variation, PopulationChildChild, PreschoolChromosomes, Human, Pair 3Craniofacial AbnormalitiesFaceFemaleHumansIntellectual DisabilityMalePhenotypeSequence Deletion3q29 deletion syndromecraniofacial featuresFace2Genefacial dysmorphism

Identifiers

PMID33938623
PMCPMC8250870

What OpenQuestion holds

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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.