Related Experiment Video
Updated: Feb 28, 2026

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
Systematic Review of Non-Coding Genomic Variants in Globin and Non-Globin Clusters and Their Impact on Phenotypic
Abeer M Al-Subaie1, J Francis Borgio2
1Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 31411, Saudi Arabia.
Background: Haemoglobinopathies such as beta-thalassemia (β-thal), alpha-thalassemia (α-thal) and sickle cell disease (SCD) are characterised by pathogenic gene variations (mutations) in the globin genes. Patients with haemoglobinopathies have the same disease-causing coding variations with very different disease phenotypes, from requiring blood transfusions to being non-symptomatic. The gap between the expected clinical outcomes based on primary coding mutations (the genotype) and the actual observed symptoms (the phenotype) often remains unexplained. We refer to the contribution of secondary genetic modifiers-specifically, non-coding variants of the genome that alter globin gene expression and pathophysiology-as the "missing heritability" of the clinical presentation [Primary Mutation + Missing Heritability (Non-Coding Variants) = Actual Clinical Phenotype]. Objectives: This systematic review aims to find evidence connecting genetic differences outside of the protein-coding region, as in promoters, enhancers or untranslated regions (UTRs), to the clinical severity (phenotype) of beta-thalassemia, alpha-thalassaemia and SCD. We summarise the molecular basis of phenotypic variation among haemoglobinopathy patients with identical variations to reveal their missing heritability and to enhance our understanding of prognostic strategies. Methods: This systematic review was performed in accordance with the PRISMA 2020 guidelines. We used search terms related to haemoglobinopathies, non-coding variation, SNP, promoters, enhancers and clinical severity to search major databases (PubMed and Google Scholar) as of October 2025. A total of 527 (out of 572) abstracts were fit for initial screening to identify the eligible reports. Due to heterogeneity in study designs and reported outcomes, findings were synthesised descriptively and grouped by variant mechanism (cis-acting and trans-acting). The final analysis included 89 articles that demonstrated a direct association between a non-coding genomic variant and a quantitative measure of clinical severity. Results: Two main groups of non-coding variants (NCVs) that modulate foetal haemoglobin (HbF) induction were identified. The first major group comprises cis-acting variants within globin gene clusters (HBG2 promoter XmnI polymorphism, HBB promoter mutations and α-globin enhancer variants), while the second major group comprises trans-acting quantitative trait loci (QTLs) (BCL11A and HBS1L-MYB loci). Non-globin NCVs in the UGT1A1 promoter were also found to influence the severity measures in β-thal and SCD. NCVs primarily alter the binding of transcription factors and the looping dynamics of chromatin, modulating the α/β chain balance ratio and γ-globin repression. The XmnI polymorphism is the most prominent cis-acting modifier associated with β-thal intermedia. The promoter polymorphisms in TNF-α and VCAM1 are associated with vascular complications in SCD. Conclusions: NCVs are fundamental when determining the clinical measures of haemoglobinopathies, in addition to coding variants. NCV screening should be integrated for clinical prognosis for the accurate prediction of haemoglobinopathy severity and associated high-risk complications. NCVs may represent promising targets for next-generation gene editing and therapeutic intervention strategies aimed at modifying the severity of β-thal, α-thal and SCD.
Background: Haemoglobinopathies such as beta-thalassemia (β-thal), alpha-thalassemia (α-thal) and sickle cell disease (SCD) are characterised by pathogenic gene variations (mutations) in the globin genes. Patients with haemoglobinopathies have the same disease-causing coding variations with very different disease phenotypes, from requiring blood transfusions to being non-symptomatic. The gap between the expected clinical outcomes based on primary coding mutations (the genotype) and the actual observed symptoms (the phenotype) often remains unexplained. We refer to the contribution of secondary genetic modifiers-specifically, non-coding variants of the genome that alter globin gene expression and pathophysiology-as the "missing heritability" of the clinical presentation [Primary Mutation + Missing Heritability (Non-Coding Variants) = Actual Clinical Phenotype]. Objectives: This systematic review aims to find evidence connecting genetic differences outside of the protein-coding region, as in promoters, enhancers or untranslated regions (UTRs), to the clinical severity (phenotype) of beta-thalassemia, alpha-thalassaemia and SCD. We summarise the molecular basis of phenotypic variation among haemoglobinopathy patients with identical variations to reveal their missing heritability and to enhance our understanding of prognostic strategies. Methods: This systematic review was performed in accordance with the PRISMA 2020 guidelines. We used search terms related to haemoglobinopathies, non-coding variation, SNP, promoters, enhancers and clinical severity to search major databases (PubMed and Google Scholar) as of October 2025. A total of 527 (out of 572) abstracts were fit for initial screening to identify the eligible reports. Due to heterogeneity in study designs and reported outcomes, findings were synthesised descriptively and grouped by variant mechanism (cis-acting and trans-acting). The final analysis included 89 articles that demonstrated a direct association between a non-coding genomic variant and a quantitative measure of clinical severity. Results: Two main groups of non-coding variants (NCVs) that modulate foetal haemoglobin (HbF) induction were identified. The first major group comprises cis-acting variants within globin gene clusters (HBG2 promoter XmnI polymorphism, HBB promoter mutations and α-globin enhancer variants), while the second major group comprises trans-acting quantitative trait loci (QTLs) (BCL11A and HBS1L-MYB loci). Non-globin NCVs in the UGT1A1 promoter were also found to influence the severity measures in β-thal and SCD. NCVs primarily alter the binding of transcription factors and the looping dynamics of chromatin, modulating the α/β chain balance ratio and γ-globin repression. The XmnI polymorphism is the most prominent cis-acting modifier associated with β-thal intermedia. The promoter polymorphisms in TNF-α and VCAM1 are associated with vascular complications in SCD. Conclusions: NCVs are fundamental when determining the clinical measures of haemoglobinopathies, in addition to coding variants. NCV screening should be integrated for clinical prognosis for the accurate prediction of haemoglobinopathy severity and associated high-risk complications. NCVs may represent promising targets for next-generation gene editing and therapeutic intervention strategies aimed at modifying the severity of β-thal, α-thal and SCD.
More Related Videos
11:35Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
Published on: August 21, 2016
07:15Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Related Concept Videos
Multiple Allele Traits
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Principles of Pharmacogenetics: Types of Genetic Variants
Translation
Translation Produces the Building Blocks of Life
Proteins are...
Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu