Yau D, Laver TW, Dastamani A, et al. (2020)
Using referral rates for genetic testing to determine the incidence of congenital hyperinsulinism worldwide. PLOS ONE 15(2):e0228417
📊 Citations: ~60+
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Technical summary
We used national genetic testing referral data to calculate the incidence of congenital hyperinsulinism, finding approximately 1 in 28,389 live births in the UK. The study provides critical population-level data that inform healthcare planning and the epidemiology of HI.
Plain English summary
By analysing genetic testing referrals, we estimated how common congenital hyperinsulinism is in newborns. Knowing approximate incidence helps hospitals prepare services and supports families seeking context about rarity and risk.
🧬 Genetics | Regulatory DNA
Wakeling MN, Owens NDL, Hopkinson JR, et al. (2022)
Non‑coding variants disrupting a tissue‑specific regulatory element in HK1 cause congenital hyperinsulinism. Nature Genetics 54:1615–1620
📊 Citations: ~61+
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Technical summary
In this study we identified non-coding regulatory variants in HK1 that disrupt β-cell-specific gene silencing, causing congenital hyperinsulinism. It demonstrated that gene regulation defects outside coding regions can lead to disease, expanding diagnostic strategies for unexplained cases.
Plain English summary
This research showed that DNA changes outside genes can still trigger hyperinsulinism by turning on insulin production when it shouldn’t happen, explaining more cases that standard tests missed.
🧬 Genetics | Disease Severity
Bennett JJ, Saint‑Martin C, Neumann B, et al. (2025)
Non‑coding cis‑regulatory variants in HK1 cause congenital hyperinsulinism with variable disease severity. Genome Medicine 17:17
📊 Citations: emerging
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Technical summary
In this study we quantified how cis-regulatory HK1 variants contribute to previously unexplained HI and demonstrated that they are associated with variable disease severity. It refined genotype–phenotype correlations and informed clinical expectations.
Plain English summary
The same type of genetic change can cause mild or severe symptoms in different children, helping families understand why reactions to the condition vary so much.
🧬 Structural Variants | Pancreatic Development
Laver TW, Wakeling MN, Caswell RC, et al. (2024)
Chromosome 20p11.2 deletions cause congenital hyperinsulinism via the loss of FOXA2 or regulatory elements. European Journal of Human Genetics 32:813–818
📊 Citations: emerging
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Technical summary
Chromosomal deletions of 20p11.2 affecting FOXA2 or its regulatory elements impair pancreatic development, resulting in HI. In this study we expanded the genetic architecture of HI to include structural and regulatory variation.
Plain English summary
This research showed that missing pieces of a chromosome can affect how the pancreas develops and controls insulin, helping explain rare genetic causes of HI.
🧬 Core Disease Genes | Reference Resource
Flanagan SE, Clauin S, Bellanné‑Chantelot C, et al. (2009)
Update of mutations in the genes encoding the pancreatic β‑cell K(ATP) channel subunits KCNJ11 and ABCC8 in diabetes mellitus and hyperinsulinism. Human Mutation 30(2):170–180
📊 Citations: ~182+
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Technical summary
In this comprehensive mutation update we catalogued pathogenic variants in K-ATP channel genes and linked them to clinical phenotypes across diabetes and hyperinsulinism. It remains a key resource for clinical genetics and variant interpretation.
Plain English summary
This review brought together information on the most common gene causes of HI and helped clinicians and labs decide which DNA changes are important.
🧬 Hidden Variants| Advanced Genomics
Flanagan SE, Xie W, Caswell R, et al. (2013)
Next‑Generation Sequencing Reveals Deep Intronic Cryptic ABCC8 and HADH Splicing Founder Mutations Causing Hyperinsulinism. American Journal of Human Genetics 92(1):131–136
📊 Citations: ~99+
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Technical summary
Using next-generation sequencing we identified deep intronic mutations activating cryptic splice sites in ABCC8 and HADH, solving previously unexplained cases. It emphasized the importance of non-coding regions in diagnosing HI.
Plain English summary
The work found hidden genetic changes that standard tests missed, explaining more cases and improving genetic diagnosis.
🏥 Clinical Cohort | Natural History
Kapoor RR, Flanagan SE, Arya VB, et al. (2013)
Clinical and molecular characterisation of 300 patients with congenital hyperinsulinism. European Journal of Endocrinology 168(4):557–564
📊 Citations: ~276+
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Technical summary
A cohort study of 300 patients detailing genetic causes, clinical features, and treatment responses. The study informed diagnostic pathways and modern management strategies for HI.
Plain English summary
By studying many children, this research showed how varied HI can be and what treatments work best, helping families set realistic expectations.
🧬 Gene–Phenotype Relationships | Birthweight
Pearson ER, Boj SF, Steele AM, et al. (2007)
Macrosomia and hyperinsulinaemic hypoglycaemia in patients with heterozygous HNF4A mutations. PLoS Medicine 4(4):e118
📊 Citations: ~200+
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Technical summary
The first description of heterozygous HNF4A variants causing increased birthweight and neonatal hyperinsulinaemic hypoglycaemia, also highlighting later diabetes risk.
Plain English summary
The study showed that babies with certain gene changes are larger at birth and may develop low blood sugar soon after, giving families insight into genetic causes of HI.
💊 Treatment | Precision Medicine
Flanagan SE, Kapoor RR, Mali G, et al. (2010)
Diazoxide‑responsive hyperinsulinemic hypoglycemia caused by HNF4A gene mutations. European Journal of Endocrinology 162(5):987–992
📊 Citations: ~170+
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Technical summary
HNF4A-related hyperinsulinism often responds to diazoxide therapy. The study supports genotype-guided treatment decisions, minimizing the need for surgery.
Plain English summary
Knowing the genetic cause can help doctors choose effective medication and avoid unnecessary surgery.
🧬 Transcription Factors | Tumour Biology
Iacovazzo D, Flanagan SE, et al. (2018)
MAFA missense mutation causes familial insulinomatosis and diabetes mellitus. PNAS 115(5):1027–1032
📊 Citations: ~133+
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Technical summary
A MAFA missense variant was linked to familial insulin-secreting tumours and diabetes, revealing a new mechanism for insulin dysregulation and benign endocrine tumor risk.
Plain English summary
It explained why some families develop both insulin-secreting tumours and diabetes, uncovering a new gene involved in insulin control.
