In Silico Analysis of the Effects of Point Mutations on α-Globin: Implications for α-Thalassemia

Agathe Horri-Naceur, David J. Timson

Research output: Contribution to journalArticle

Abstract

Hemoglobinopathies are inherited diseases that impair the structure and function of the oxygen-carrying pigment hemoglobin (Hb). Adult Hb consists of two α and two β subunits. α-Thalassemia (α-thal) affects the genes that code for the α-globin chains, HBA1 and HBA2. Mutations can result in asymptomatic, mild or severe outcomes depending on several factors, such as mutation type, number of mutations and the location at which they occur. PredictSNP was used to estimate whether every possible single nucleotide polymorphism (SNP) would have a neutral or deleterious effect on the protein. These results were then used to create a plot of predicted tolerance to change for each residue in the protein. Tolerance to change was negatively correlated with the residue’s sequence conservation score. The PredictSNP data were compared to clinical reports of 110 selected variants in the literature. There were 29 disagreements between the two data types. Some of these could be resolved by considering the role of the affected residue in binding other molecules. The three-dimensional structures of some of these variant proteins were modeled. These models helped explain variants which affect heme binding. We predict that where a point mutation alters a residue that is intolerant to change, is well conserved and or involved in interactions, it is likely to be associated with disease. Overall, the data from this study could be used alongside biochemical and clinical data to assess novel α-globin variants.

Original languageEnglish
Pages (from-to)89-103
Number of pages15
JournalHemoglobin
Volume44
Issue number2
DOIs
Publication statusPublished - 18 May 2020

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis in Hemoglobin on 18/05/2020, available online: http://www.tandfonline.com/10.1080/03630269.2020.1739067

Keywords

  • Heme group
  • hemoglobin (Hb)
  • in silico prediction
  • protein stability
  • single nucleotide polymorphism (SNP)

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