Literature DB >> 22330941

Sanger sequencing solved a cryptic case of severe alpha₁-antitrypsin deficiency.

Shing H Zhan1, Raja T Abboud, Benjamin Jung, Brian Kuchinka, Diana Ralston, Brett Casey, Andre Mattman.   

Abstract

AIMS: Alpha(1)-antitrypsin deficiency (AATD) is a clinically under-diagnosed genetic disorder that originates from deleterious mutations in the alpha(1)-antitrypsin (AAT) gene, SERPINA1. Severe deficiency is associated with significant pulmonary and hepatic malfunctions. Conventional clinical diagnosis involves the evaluation of serum AAT level and detection of diseased protein isoforms. In this communication, we describe the investigations of a case of severe AATD in which the AAT levels were well below those expected from the MZ phenotype determined by isoelectric focusing for protease inhibitor type (IEF PI-typing).
METHODS: In addition to the traditional diagnostic method that combines the assessment of serum AAT concentration and IEF PI-typing, we investigated the SERPINA1 gene of the proband and participating family members for mutations using Sanger sequencing.
RESULTS: We identified a novel mutation (M409T) in the proband, initially missed by the standard diagnostic approach. The novel mutation was present in 4 out of 8 family members who participated in the study.
CONCLUSIONS: This report illustrates the diagnostic value of incorporating exon sequencing of the AAT gene into the algorithm for evaluating AATD, particularly when the AAT serum level is significantly lower than expected from IEF PI-typing.
Copyright © 2012 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22330941     DOI: 10.1016/j.clinbiochem.2012.01.027

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  1 in total

1.  Protein modeling to assess the pathogenicity of rare variants of SERPINA1 in patients suspected of having Alpha 1 Antitrypsin Deficiency.

Authors:  Friedrich Kueppers; Mark D Andrake; Qifang Xu; Roland L Dunbrack; Joannah Kim; Christopher L Sanders
Journal:  BMC Med Genet       Date:  2019-07-15       Impact factor: 2.103

  1 in total

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