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Kars ME, Stein D, Stenson PD, Cooper DN, Chung WK, Gruber PJ, Seidman CE, Shen Y, Tristani-Firouzi M, Gelb BD, Itan Y. Deciphering the digenic architecture of congenital heart disease using trio exome sequencing data. Am J Hum Genet 2025; 112:583-598. [PMID: 39983722 PMCID: PMC11947165 DOI: 10.1016/j.ajhg.2025.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 01/29/2025] [Accepted: 01/29/2025] [Indexed: 02/23/2025] Open
Abstract
Congenital heart disease (CHD) is the most common congenital anomaly and a leading cause of infant morbidity and mortality. Despite extensive exploration of the monogenic causes of CHD over the last decades, ∼55% of cases still lack a molecular diagnosis. Investigating digenic interactions, the simplest form of oligogenic interactions, using high-throughput sequencing data can elucidate additional genetic factors contributing to the disease. Here, we conducted a comprehensive analysis of digenic interactions in CHD by utilizing a large CHD trio exome sequencing cohort, comprising 3,910 CHD and 3,644 control trios. We extracted pairs of presumably deleterious rare variants observed in CHD-affected and unaffected children but not in a single parent. Burden testing of gene pairs derived from these variant pairs revealed 29 nominally significant gene pairs. These gene pairs showed a significant enrichment for known CHD genes (p < 1.0 × 10-4) and exhibited a shorter average biological distance to known CHD genes than expected by chance (p = 3.0 × 10-4). Utilizing three complementary biological relatedness approaches including network analyses, biological distance calculations, and candidate gene prioritization methods, we prioritized 10 final gene pairs that are likely to underlie CHD. Analysis of bulk RNA-sequencing data showed that these genes are highly expressed in the developing embryonic heart (p < 1 × 10-4). In conclusion, our findings suggest the potential role of digenic interactions in CHD pathogenesis and provide insights into unresolved molecular diagnoses. We suggest that the application of the digenic approach to additional disease cohorts will significantly enhance genetic discovery rates.
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Affiliation(s)
- Meltem Ece Kars
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David Stein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Peter D Stenson
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Wendy K Chung
- Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Peter J Gruber
- Department of Surgery, Yale School of Medicine, New Haven, CT 06510, USA
| | - Christine E Seidman
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA 02115, USA; Howard Hughes Medical Institute, Harvard University, Boston, MA 02115, USA
| | - Yufeng Shen
- Departments of Systems Biology and Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Martin Tristani-Firouzi
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT 84113, USA
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Yuval Itan
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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Hopkins JJ, Childs AJ, Houghton JAL, Hewat TI, Atapattu N, Johnson MB, Patel KA, Laver TW, Flanagan SE. Hyperinsulinemic Hypoglycemia Diagnosed in Childhood Can Be Monogenic. J Clin Endocrinol Metab 2023; 108:680-687. [PMID: 36239000 PMCID: PMC9931180 DOI: 10.1210/clinem/dgac604] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/05/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Congenital hyperinsulinism (HI) is characterized by inappropriate insulin secretion despite low blood glucose. Persistent HI is often monogenic, with the majority of cases diagnosed in infancy. Less is known about the contribution of monogenic forms of disease in those presenting in childhood. OBJECTIVE We investigated the likelihood of finding a genetic cause in childhood-onset HI and explored potential factors leading to later age at presentation of disease. METHODS We screened known disease-causing genes in 1848 individuals with HI, referred for genetic testing as part of routine clinical care. Individuals were classified as infancy-onset (diagnosed with HI < 12 months of age) or childhood-onset (diagnosed at age 1-16 years). We assessed clinical characteristics and the genotypes of individuals with monogenic HI diagnosed in childhood to gain insights into the later age at diagnosis of HI in these children. RESULTS We identified the monogenic cause in 24% (n = 42/173) of the childhood-onset HI cohort; this was significantly lower than the proportion of genetic diagnoses in infancy-onset cases (74.5% [n = 1248/1675], P < 0.00001). Most (75%) individuals with genetically confirmed childhood-onset HI were diagnosed before 2.7 years, suggesting these cases represent the tail end of the normal distribution in age at diagnosis. This is supported by the finding that 81% of the variants identified in the childhood-onset cohort were detected in those diagnosed in infancy. CONCLUSION We have shown that monogenic HI is an important cause of hyperinsulinism presenting outside of infancy. Genetic testing should be considered in children with persistent hyperinsulinism, regardless of age at diagnosis.
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Affiliation(s)
| | | | - Jayne A L Houghton
- The Genomics Laboratory, Royal Devon University Healthcare NHS foundation Trust, Exeter EX2 5DW, UK
| | - Thomas I Hewat
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Navoda Atapattu
- Paediatric Endocrinology, Lady Ridgeway Hospital, Colombo 00800, Sri Lanka
| | - Matthew B Johnson
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Kashyap A Patel
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
- The Genomics Laboratory, Royal Devon University Healthcare NHS foundation Trust, Exeter EX2 5DW, UK
| | - Thomas W Laver
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Sarah E Flanagan
- Correspondence: Dr. Sarah E. Flanagan, Associate Professor in Genomic Medicine, RILD Building, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
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Hoermann H, El-Rifai O, Schebek M, Lodefalk M, Brusgaard K, Bachmann N, Bergmann C, Roeper M, Welters A, Salimi Dafsari R, Blankenstein O, Mayatepek E, Christesen H, Meissner T, Kummer S. Comparative meta-analysis of Kabuki syndrome with and without hyperinsulinaemic hypoglycaemia. Clin Endocrinol (Oxf) 2020; 93:346-354. [PMID: 32533869 DOI: 10.1111/cen.14267] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 05/09/2020] [Accepted: 06/04/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND OBJECTIVE Kabuki syndrome (KS), caused by pathogenic variants in KMT2D or KDM6A, is associated with hyperinsulinaemic hypoglycaemia (HH) in 0.3%-4% of patients. We characterized the clinical, biochemical and molecular data of children with KS and HH compared to children with KS without HH in a multicentre meta-analysis. METHODS Data of seven new and 17 already published children with KS and HH were compared to 373 recently published KS patients without HH regarding molecular and clinical characteristics. RESULTS Seven new patients were identified with seven different pathogenic variants in KDM6A (n = 4) or KMT2D (n = 3). All presented with HH on the first day of life and were responsive to diazoxide. KS was diagnosed between 9 months and 14 years of age. In the meta-analysis, 24 KS patients with HH had a significantly higher frequency of variants in KDM6A compared to 373 KS patients without HH (50% vs 11.5%, P < .001), and KDM6A-KS was more likely to be associated with HH than KMT2D-KS (21.8% vs. 3.5%, P < .001). Sex distribution and other phenotypic features did not differ between KS with and without HH. CONCLUSION The higher incidence of HH in KDM6A-KS compared to KMT2D-KS indicates that KDM6A loss of function variants predispose more specifically to beta cell dysfunction compared to KMT2D variants. As difficulties to assign syndromic characteristics to KS in early infancy often lead to delayed diagnosis, genetic testing for KS should be considered in children with HH, especially in the presence of other extrapancreatic/syndromic features.
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Affiliation(s)
- Henrike Hoermann
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Omar El-Rifai
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Martin Schebek
- Department of Pediatric Diabetes, Children's Hospital Kassel, Kassel, Germany
| | - Maria Lodefalk
- Department of Pediatrics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Klaus Brusgaard
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | | | | | - Marcia Roeper
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Alena Welters
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Roschan Salimi Dafsari
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Oliver Blankenstein
- Centre for Chronic Sick Children and Institute for Experimental Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ertan Mayatepek
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Henrik Christesen
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
- Odense Pancreas Centre OPAC, Odense University Hospital, Odense, Denmark
| | - Thomas Meissner
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Sebastian Kummer
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital Düsseldorf, Medical Faculty, Düsseldorf, Germany
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Arya VB, Dhawan A, Kapoor RR. Hyperinsulinaemic hypoglycaemia in deoxyguanosine kinase deficiency. Clin Endocrinol (Oxf) 2019; 91:900-903. [PMID: 31465631 DOI: 10.1111/cen.14084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 08/20/2019] [Accepted: 08/27/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Ved Bhushan Arya
- Paediatric Endocrinology, King's College Hospital NHS Foundation Trust, London, UK
| | - Anil Dhawan
- Paediatric Liver, GI, Nutrition Centre, Mowat labs, King's College Hospital NHS Foundation Trust, London, UK
| | - Ritika R Kapoor
- Paediatric Endocrinology, King's College Hospital NHS Foundation Trust, London, UK
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Rosenfeld E, Ganguly A, De León DD. Congenital hyperinsulinism disorders: Genetic and clinical characteristics. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2019; 181:682-692. [PMID: 31414570 PMCID: PMC7229866 DOI: 10.1002/ajmg.c.31737] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 07/13/2019] [Accepted: 07/29/2019] [Indexed: 12/11/2022]
Abstract
Congenital hyperinsulinism (HI) is the most frequent cause of persistent hypoglycemia in infants and children. Delays in diagnosis and initiation of appropriate treatment contribute to a high risk of neurocognitive impairment. HI represents a heterogeneous group of disorders characterized by dysregulated insulin secretion by the pancreatic beta cells, which in utero, may result in somatic overgrowth. There are at least nine known monogenic forms of HI as well as several syndromic forms. Molecular diagnosis allows for prediction of responsiveness to medical treatment and likelihood of surgically-curable focal hyperinsulinism. Timely genetic mutation analysis has thus become standard of care. However, despite significant advances in our understanding of the molecular basis of this disorder, the number of patients without an identified genetic diagnosis remains high, suggesting that there are likely additional genetic loci that have yet to be discovered.
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Affiliation(s)
- Elizabeth Rosenfeld
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Arupa Ganguly
- Department of Genetics, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Diva D. De León
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Laver TW, Wakeling MN, Hua JHY, Houghton JAL, Hussain K, Ellard S, Flanagan SE. Comprehensive screening shows that mutations in the known syndromic genes are rare in infants presenting with hyperinsulinaemic hypoglycaemia. Clin Endocrinol (Oxf) 2018; 89:621-627. [PMID: 30238501 PMCID: PMC6283248 DOI: 10.1111/cen.13841] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 08/13/2018] [Accepted: 08/20/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Hyperinsulinaemic hypoglycaemia (HH) can occur in isolation or more rarely feature as part of a syndrome. Screening for mutations in the "syndromic" HH genes is guided by phenotype with genetic testing used to confirm the clinical diagnosis. As HH can be the presenting feature of a syndrome, it is possible that mutations will be missed as these genes are not routinely screened in all newly diagnosed individuals. We investigated the frequency of pathogenic variants in syndromic genes in infants with HH who had not been clinically diagnosed with a syndromic disorder at referral for genetic testing. DESIGN We used genome sequencing data to assess the prevalence of mutations in syndromic HH genes in an international cohort of patients with HH of unknown genetic cause. PATIENTS We undertook genome sequencing in 82 infants with HH without a clinical diagnosis of a known syndrome at referral for genetic testing. MEASUREMENTS Within this cohort, we searched for the genetic aetiologies causing 20 different syndromes where HH had been reported as a feature. RESULTS We identified a pathogenic KMT2D variant in a patient with HH diagnosed at birth, confirming a genetic diagnosis of Kabuki syndrome. Clinical data received following the identification of the mutation highlighted additional features consistent with the genetic diagnosis. Pathogenic variants were not identified in the remainder of the cohort. CONCLUSIONS Pathogenic variants in the syndromic HH genes are rare; thus, routine testing of these genes by molecular genetics laboratories is unlikely to be justified in patients without syndromic phenotypes.
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Affiliation(s)
- Thomas W. Laver
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
| | - Matthew N. Wakeling
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
| | | | - Jayne A. L. Houghton
- Department of Molecular GeneticsRoyal Devon and Exeter NHS Foundation TrustExeterUK
| | - Khalid Hussain
- Department of Pediatric MedicineDivision of EndocrinologySidra MedicineDohaQatar
| | - Sian Ellard
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
| | - Sarah E. Flanagan
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
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