Epidemiology of congenital disorders of glycosylation (CDG)—overview and perspectives

Author:

Piedade Ana,Francisco Rita,Jaeken Jaak,Sarkhail Peymaneh,Brasil Sandra,Ferreira Carlos R.,Rijoff Tatiana,Pascoal Carlota,Gil Alexandre,Lourenço Ana Beatriz,Abreu Marta,Gomes Mafalda,Videira Paula A.,dos Reis Ferreira Vanessa

Abstract

Abstract Background and aim Congenital disorders of glycosylation (CDG) are a large heterogeneous group of about 170 rare inherited metabolic disorders due to defective protein and lipid glycosylation. This study aimed to assemble and summarise available data on the epidemiology of CDG. Methods A set of keywords related to epidemiology and CDG was defined. The keywords were combined through a custom Python script, search through the MEDLINE database, using PubMed as the search engine. The script retrieved the correspondent MEDLINE data from each article, and the relevant information was exported. Next, inclusion and exclusion criteria were set and applied during the selection phase. Finally, epidemiology-related information was extracted and compiled. Results One hundred sixty-five papers on CDG epidemiology were included in this literature review. Most of them reported on the frequency of symptoms in CDG patients followed in cohort studies, on pathogenic variant allelic frequency, and on the prevalence of the disorder in populations. According to this review, the most reported CDG was phosphomannomutase-2 deficiency (PMM2-CDG) followed in descending order by FKTN-CDG, EXT1/EXT2-CDG, ALG6-CDG, and PIGA-CDG. Conclusions We provide an overview on epidemiological data regarding 93 CDG by compiling information from the literature. Generating epidemiological data on CDG is important to appropriately target resources for CDG research and drug development and to support public health decision-making.

Funder

FCT - Fundação para a Ciência e a Tecnologia, I.P

FCT - Fundação para a Ciência e a Tecnologia, I.P.

Publisher

Springer Science and Business Media LLC

Reference211 articles.

1. Richter T, Nestler-Parr S, Babela R, Khan ZM, Tesoro T, Molsen E, et al. Rare disease terminology and definitions—a systematic global review: report of the ISPOR Rare Disease Special Interest Group. Value Health. 2015;18(6):906–14.

2. Rare Diseases Act of 2002, Pub. L. No. 107-280, 116 Stat. 1988. https://www.congress.gov/107/plaws/publ280/PLAW-107publ280.pdf. 2002.

3. Baldovino S, Moliner AM, Taruscio D, Daina E, Roccatello D. Rare diseases in Europe: from a wide to a local perspective. Isr Med Assoc J. 2016;18(6):359–63.

4. Operational definition of rare diseases - Rare Diseases International. Available from: https://www.rarediseasesinternational.org/description-for-rd/. Cited 2021 Dec 20.

5. Ferreira CR. The burden of rare diseases. Am J Med Genet A. 2019;179(6):885–92.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3