Literature DB >> 35229241

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

Caio Robledo D' Angioli Costa Quaio1,2,3,4, Caroline Monaco Moreira5, Christine Hsiaoyun Chung5, Sandro Felix Perazzio5,6, Aurelio Pimenta Dutra5, Chong Ae Kim7.   

Abstract

BACKGROUND: Several 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
RESULTS: We 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.
CONCLUSIONS: This 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.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Carrier frequency; Inborn errors of metabolism; Metabolic diseases; Rare diseases; Recessive Mendelian diseases; Whole exome sequencing

Year:  2022        PMID: 35229241     DOI: 10.1007/s11033-022-07241-3

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  1 in total

1.  Exome sequencing of 500 Brazilian patients with rare diseases: what we have learned.

Authors:  Caio Robledo D'Angioli Costa Quaio; Caroline Monaco Moreira; Christine Hsiaoyun Chung; Sandro Felix Perazzio; Aurelio Pimenta Dutra; Chong Ae Kim
Journal:  Sao Paulo Med J       Date:  2022 Sep-Oct       Impact factor: 1.838

  1 in total

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