Evidence map›Paper›PMID 35229241›Full record

ReviewMolecular biology reports2022

Frequency of carriers for rare metabolic diseases in a Brazilian cohort of 320 patients.

Caio Robledo D' Angioli Costa Quaio, Caroline Monaco Moreira, Christine Hsiaoyun Chung, Sandro Felix Perazzio, Aurelio Pimenta Dutra, Chong Ae Kim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Exome sequencing of 500 Brazilian patients with rare diseases: what we have learned.Sao Paulo medical journal = Revista paulista de medicina
    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 3 institutions in 1 country.

Caio Robledo D' Angioli Costa QuaioInstituto da Criança (Children's Hospital), Hospital das Clínicas (HCFMUSP), Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil. cquaio@gmail.com.ORCID http://orcid.org/0000-0003-2873-2820
Caroline Monaco MoreiraFleury Medicina e Saúde, São Paulo, SP, Brazil.
Christine Hsiaoyun ChungFleury Medicina e Saúde, São Paulo, SP, Brazil.
Sandro Felix PerazzioFleury Medicina e Saúde, São Paulo, SP, Brazil.
Aurelio Pimenta DutraFleury Medicina e Saúde, São Paulo, SP, Brazil.
Chong Ae KimInstituto da Criança (Children's Hospital), Hospital das Clínicas (HCFMUSP), Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Fleury S.A. (Brazil) · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital Israelita Albert Einstein · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral metabolic disorders follow an autosomal recessive inheritance pattern. Epidemiological information on these disorders is usually limited in developing countries. Our objective is to assess carrier frequencies of rare autosomal recessive metabolic diseases in a cohort of Brazilian patients that underwent molecular investigation with exome sequencing and estimate the overall frequency of these diseases using the Hardy-Weinberg equation. METHODS AND

resultsWe reviewed the molecular findings of 320 symptomatic patients who had carrier status for recessive diseases actively searched. A total of 205 rare variants were reported in 138 different genes associated with metabolic diseases from 156 patients, which represents that almost half (48.8%) of the patients were carriers of at least one heterozygous pathogenic/likely pathogenic (P/LP) variant for rare metabolic disorders. Most of these variants are harbored by genes associated with multisystemic involvement. We estimated the overall frequency for rare recessive metabolic diseases to be 10.96/10,000 people, while the frequency of metabolic diseases potentially identified by newborn screening was estimated to be 2.93/10,000.

conclusionsThis study shows the potential research utility of exome sequencing to determine carrier status for rare metabolic diseases, which may be a possible strategy to evaluate the clinical and social burden of these conditions at the population level and guide the optimization of health policies and newborn screening programs.

Indexed as

Metabolic DiseasesBrazilCohort StudiesExome SequencingHeterozygoteHumansInfant, NewbornCarrier frequencyInborn errors of metabolismMetabolic diseasesRare diseasesRecessive Mendelian diseasesWhole exome sequencing

Identifiers

PMID35229241
OpenAlexW4214676142

What OpenQuestion holds

Textmetadata
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.