Evidence map›Paper›PMID 29441128›Full record

ArticleMolecular cytogenetics2018

Chromosomal microarray analysis in the genetic evaluation of 279 patients with syndromic obesity.

Carla Sustek D'Angelo, Monica Castro Varela, Claudia Irene Emílio de Castro, Paulo Alberto Otto, Ana Beatriz Alvarez Perez, Charles Marques Lourenço, Chong Ae Kim, Debora Romeo Bertola, Fernando Kok, Luis Garcia-Alonso and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cytogenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. MYT1L: A systematic review of genetic variation encompassing schizophrenia and autism.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2020
    Pooled it
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  11. Genome-wide screening for genetic variants in polyadenylation signal (PAS) sites in mouse selection lines for fatness and leanness.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  12. Current oncology (Toronto, Ont.) · 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

11 authors at 3 institutions in 1 country.

Carla Sustek D'Angelo1Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil.
Monica Castro Varela1Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil.
Claudia Irene Emílio de Castro1Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil.
Paulo Alberto Otto1Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil.
Ana Beatriz Alvarez Perez2Department of Morphology and Genetics, Paulista School of Medicine, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP Brazil.
Charles Marques Lourenço3Neurogenetics Unit, Clinics Hospital of Ribeirao Preto, Faculty of Medicine, University of Sao Paulo, FMRP-USP, Ribeirao Preto, SP Brazil.
Chong Ae Kim4Genetic Unit, Children's Institute, Faculty of Medicine, University of Sao Paulo, FMUSP, Sao Paulo, SP Brazil.
Debora Romeo Bertola4Genetic Unit, Children's Institute, Faculty of Medicine, University of Sao Paulo, FMUSP, Sao Paulo, SP Brazil.
Fernando Kok5Department of Neurology, Faculty of Medicine, University of Sao Paulo, FMUSP, Sao Paulo, SP Brazil.
Luis Garcia-Alonso2Department of Morphology and Genetics, Paulista School of Medicine, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP Brazil.
Celia Priszkulnik Koiffmann1Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil.
Universidade de São Paulo · BRUniversidade Federal de São Paulo · BRClinics Hospital of Ribeirão Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSyndromic obesity is an umbrella term used to describe cases where obesity occurs with additional phenotypes. It often arises as part of a distinct genetic syndrome with Prader-Willi syndrome being a classical example. These rare forms of obesity provide a unique source for identifying obesity-related genetic changes. Chromosomal microarray analysis (CMA) has allowed the characterization of new genetic forms of syndromic obesity, which are due to copy number variants (CNVs); however, CMA in large cohorts requires more study. The aim of this study was to characterize the CNVs detected by CMA in 279 patients with a syndromic obesity phenotype.

resultsPathogenic CNVs were detected in 61 patients (22%) and, among them, 35 had overlapping/recurrent CNVs. Genomic imbalance disorders known to cause syndromic obesity were found in 8.2% of cases, most commonly deletions of 1p36, 2q37 and 17p11.2 (5.4%), and we also detected deletions at 1p21.3, 2p25.3, 6q16, 9q34, 16p11.2 distal and proximal, as well as an unbalanced translocation resulting in duplication of the

conclusionUnderstanding the genetics of obesity has proven difficult, and considerable insight has been obtained from the study of genomic disorders with obesity associated as part of the phenotype. In our study, CNVs known to be causal for syndromic obesity were detected in 8.2% of patients, but we provide evidence for a genetic basis of obesity in as many as 14% of cases. Overall, our results underscore the genetic heterogeneity in syndromic forms of obesity, which imposes a substantial challenge for diagnosis.

Indexed as

Body mass index (BMI)Chromosomal microarray analysis (CMA)Copy number variations (CNVs)Intellectual and developmental disabilities (IDDs)Prader-Willi syndrome (PWS)Syndromic obesity

Identifiers

PMID29441128
PMCPMC5800070
OpenAlexW2794068067

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.