Elevated methylmalonic acidemia (MMA) screening markers in Hispanic and preterm newborns.


Journal

Molecular genetics and metabolism
ISSN: 1096-7206
Titre abrégé: Mol Genet Metab
Pays: United States
ID NLM: 9805456

Informations de publication

Date de publication:
01 2019
Historique:
received: 04 10 2018
revised: 09 11 2018
accepted: 09 11 2018
pubmed: 19 11 2018
medline: 14 8 2019
entrez: 19 11 2018
Statut: ppublish

Résumé

Analysis of California newborn screening (NBS) data revealed a high prevalence of Hispanic infants testing positive for methylmalonic acidemia (MMA), a trend seen for both true- and false-positive cases. Here we show that Hispanic infants have significantly higher levels of MMA screening markers than non-Hispanics. Preterm birth and increased birth weight were found to be associated with elevated MMA marker levels but could not entirely explain these differences. While the preterm birth rate was higher in Blacks than Hispanics, Black infants had on average the lowest MMA marker levels. Preterm birth was associated with lower birth weight and increased MMA marker levels suggesting that gestational age is the stronger predictive covariate compared to birth weight. These findings could help explain why MMA false-positive results are more likely in Hispanic than in Black infants, which could inform screening and diagnostic procedures for MMA and potentially other disorders in newborns.

Identifiants

pubmed: 30448007
pii: S1096-7192(18)30610-3
doi: 10.1016/j.ymgme.2018.11.006
pmc: PMC6361520
mid: NIHMS1512763
pii:
doi:

Substances chimiques

Biomarkers 0
Methylmalonic Acid 8LL8S712J7

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Pagination

39-42

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD081355
Pays : United States

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Références

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Auteurs

Gang Peng (G)

Department of Genetics, Yale University School of Medicine, New Haven, CT, United States; Department of Biostatistics, Yale University School of Public Health, New Haven, CT, United States.

Christina A de Fontnouvelle (CA)

Department of Genetics, Yale University School of Medicine, New Haven, CT, United States.

Gregory M Enns (GM)

Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.

Tina M Cowan (TM)

Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.

Hongyu Zhao (H)

Department of Genetics, Yale University School of Medicine, New Haven, CT, United States; Department of Biostatistics, Yale University School of Public Health, New Haven, CT, United States.

Curt Scharfe (C)

Department of Genetics, Yale University School of Medicine, New Haven, CT, United States. Electronic address: curt.scharfe@yale.edu.

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Classifications MeSH