Association of a Novel Homozygous Variant in ABCA1 Gene with Tangier Disease

Author:

Barbosa-Gouveia Sofía12ORCID,Fernández-Crespo Silvia3,Lazaré-Iglesias Héctor4,González-Quintela Arturo1,Vázquez-Agra Néstor1ORCID,Hermida-Ameijeiras Álvaro125ORCID

Affiliation:

1. Fundación Instituto Investigación Sanitaria de Santiago de Compostela (FIDIS), University of Santiago de Compostela (USC), 15782 Coruña, Spain

2. National Reference Centre for Inherited Metabolic Diseases, CIBERER, MetabERN, 28029 Madrid, Spain

3. Department of Internal Medicine, University Hospital of El Bierzo, 24404 Ponferrada, Spain

4. Department of Pathology, University Clinical Hospital of Santiago de Compostela, 15706 Santiago de Compostela, Spain

5. Rare Diseases Center, Minority Diseases Working Group from the Spanish Society of Internal Medicine (GTEM), University Clinical Hospital of Santiago de Compostela, 15706 Santiago de Compostela, Spain

Abstract

Tangier disease (TD) is a rare autosomal recessive disorder caused by a variant in the ABCA1 gene, characterized by significantly reduced levels of plasma high-density lipoprotein cholesterol (HDL-C) and apolipoprotein A-1 (ApoA-I). TD typically leads to accumulation of cholesterol in the peripheral tissues and early coronary disease but with highly variable clinical expression. Herein, we describe a case study of a 59-year-old male patient with features typical of TD, in whom a likely pathogenic variant in the ABCA1 gene was identified by whole-exome sequencing (WES), identified for the first time as homozygous (NM_005502.4: c.4799A>G (p. His1600Arg)). In silico analysis including MutationTaster and DANN score were used to predict the pathogenicity of the variant and a protein model generated by SWISS-MODEL was built to determine how the homozygous variant detected in our patient may change the protein structure and impact on its function. This case study describes a homozygous variant of the ABCA1 gene, which is responsible for a severe form of TD and underlines the importance of using bioinformatics and genomics for linking genotype to phenotype and better understanding and accounting for the functional impact of genetic variations.

Publisher

MDPI AG

Subject

General Medicine

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