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Maloney KA, Mizerik E, King RH, McGinnis EM, Perkowitz S, Diamonstein CJ, Schmanski AA, Saliganan S, Shipper AG, Udler MS, Guan Y, Pollin TI. Genetic counseling in diabetes mellitus: A practice resource of the National Society of Genetic Counselors. J Genet Couns 2024; 33:493-505. [PMID: 37537905 DOI: 10.1002/jgc4.1744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/30/2023] [Accepted: 06/16/2023] [Indexed: 08/05/2023]
Abstract
Diabetes mellitus is a group of diseases characterized by hyperglycemia and its consequences, affecting over 34 million individuals in the United States and 422 million worldwide. While most diabetes is polygenic and is classified as type 1 (T1D), type 2 (T2D), or gestational diabetes (GDM), at least 0.4% of all diabetes is monogenic in nature. Correct diagnosis of monogenic diabetes has important implications for glycemic management and genetic counseling. We provide this Practice Resource to familiarize the genetic counseling community with (1) the existence of monogenic diabetes, (2) how it differs from more common polygenic/complex diabetes types, (3) the advantage of a correct diagnosis, and (4) guidance for identifying, counseling, and testing patients and families with suspected monogenic diabetes. This document is intended for genetic counselors and other healthcare professionals providing clinical services in any setting, with the goal of maximizing the likelihood of a correct diagnosis of monogenic diabetes and access to related care.
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Affiliation(s)
- Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | | - Robin H King
- Genetic Services, Everly Health, Austin, Texas, USA
| | - Erin M McGinnis
- Ann & Robert H. Lurie Children's Hospital, Chicago, Illinois, USA
| | | | | | - Andrew A Schmanski
- University of Arizona Cancer Center, Banner University Medicine, Tucson, Arizona, USA
| | | | - Andrea G Shipper
- Charles Library, Temple University, Philadelphia, Pennsylvania, USA
| | - Miriam S Udler
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Yue Guan
- Emory University, Atlanta, Georgia, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Schwitzgebel VM, Blouin JL, Dehos B, Köhler-Ballan B, Puder JJ, Rieubland C, Triantafyllidou M, Zanchi A, Abramowicz M, Nouspikel T. Enhancing fetal outcomes in GCK-MODY pregnancies: a precision medicine approach via non-invasive prenatal GCK mutation detection. Front Med (Lausanne) 2024; 11:1347290. [PMID: 38745742 PMCID: PMC11091329 DOI: 10.3389/fmed.2024.1347290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/27/2024] [Indexed: 05/16/2024] Open
Abstract
Background Mutations in the GCK gene cause Maturity Onset Diabetes of the Young (GCK-MODY) by impairing glucose-sensing in pancreatic beta cells. During pregnancy, managing this type of diabetes varies based on fetal genotype. Fetuses carrying a GCK mutation can derive benefit from moderate maternal hyperglycemia, stimulating insulin secretion in fetal islets, whereas this may cause macrosomia in wild-type fetuses. Modulating maternal glycemia can thus be viewed as a form of personalized prenatal therapy, highly beneficial but not justifying the risk of invasive testing. We therefore developed a monogenic non-invasive prenatal diagnostic (NIPD-M) test to reliably detect the transmission of a known maternal GCK mutation to the fetus. Methods A small amount of fetal circulating cell-free DNA is present in maternal plasma but cannot be distinguished from maternal cell-free DNA. Determining transmission of a maternal mutation to the fetus thus implies sequencing adjacent polymorphisms to determine the balance of maternal haplotypes, the transmitted haplotype being over-represented in maternal plasma. Results Here we present a series of such tests in which fetal genotype was successfully determined and show that it can be used to guide therapeutic decisions during pregnancy and improve the outcome for the offspring. We discuss several potential hurdles inherent to the technique, and strategies to overcome these. Conclusion Our NIPD-M test allows reliable determination of the presence of a maternal GCK mutation in the fetus, thereby allowing personalized in utero therapy by modulating maternal glycemia, without incurring the risk of miscarriage inherent to invasive testing.
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Affiliation(s)
- Valérie M. Schwitzgebel
- Pediatric Endocrine and Diabetes Unit, Department of Pediatrics, Gynecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Jean-Louis Blouin
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Barbara Dehos
- Division of Endocrinology and Diabetes, Spital Grabs, Grabs, Switzerland
| | | | - Jardena J. Puder
- Department Women-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Claudine Rieubland
- Department of Medical Genetics, Central Institute of the Hospitals, Hospital of the Valais, Valais, Switzerland
| | - Maria Triantafyllidou
- Division of Endocrinology, Diabetes and Clinical Nutrition, Luzerner Kantonsspital, Lucerne, Switzerland
| | - Anne Zanchi
- Department of Medicine, Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Marc Abramowicz
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Thierry Nouspikel
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Hughes AE, Houghton JAL, Bunce B, Chakera AJ, Spyer G, Shepherd MH, Flanagan SE, Hattersley AT. Bringing precision medicine to the management of pregnancy in women with glucokinase-MODY: a study of diagnostic accuracy and feasibility of non-invasive prenatal testing. Diabetologia 2023; 66:1997-2006. [PMID: 37653058 PMCID: PMC10542291 DOI: 10.1007/s00125-023-05982-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/08/2023] [Indexed: 09/02/2023]
Abstract
AIMS/HYPOTHESIS In pregnancies where the mother has glucokinase-MODY (GCK-MODY), fetal growth is determined by fetal genotype. When the fetus inherits a maternal pathogenic GCK variant, normal fetal growth is anticipated, and insulin treatment of maternal hyperglycaemia is not recommended. At present, fetal genotype is estimated from measurement of fetal abdominal circumference on ultrasound. Non-invasive prenatal testing of fetal GCK genotype (NIPT-GCK) using cell-free DNA in maternal blood has recently been developed. We aimed to compare the diagnostic accuracy of NIPT-GCK with that of ultrasound, and determine the feasibility of using NIPT-GCK to guide pregnancy management. METHODS We studied an international cohort of pregnant women with hyperglycaemia due to GCK-MODY. We compared the diagnostic accuracy of NIPT-GCK with that of measurement of fetal abdominal circumference at 28 weeks' gestation (n=38) using a directly genotyped offspring sample as the reference standard. In a feasibility study, we assessed the time to result given to clinicians in 43 consecutive pregnancies affected by GCK-MODY between July 2019 and September 2021. RESULTS In terms of diagnostic accuracy, NIPT-GCK was more sensitive and specific than ultrasound in predicting fetal genotype (sensitivity 100% and specificity 96% for NIPT-GCK vs sensitivity 53% and specificity 61% for fetal abdominal circumference 75th percentile). In terms of feasibility, a valid NIPT-GCK fetal genotype (≥95% probability) was reported in all 38 pregnancies with an amenable variant and repeated samples when needed. The median time to report was 5 weeks (IQR 3-8 weeks). For the 25 samples received before 20 weeks' gestation, results were reported at a median gestational age of 20 weeks (IQR 18-24), with 23/25 (92%) reported before 28 weeks. CONCLUSIONS/INTERPRETATION Non-invasive prenatal testing of fetal genotype in GCK-MODY pregnancies is highly accurate and is capable of providing a result before the last trimester for most patients. This means that non-invasive prenatal testing of fetal genotype is the optimal approach to management of GCK-MODY pregnancies.
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Affiliation(s)
- Alice E Hughes
- Faculty of Health and Life Sciences, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Jayne A L Houghton
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Benjamin Bunce
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Ali J Chakera
- Faculty of Health and Life Sciences, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
- Department of Diabetes and Endocrinology, Royal Sussex County Hospital, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
| | - Gill Spyer
- Faculty of Health and Life Sciences, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
- Department of Diabetes and Endocrinology, Torbay Hospital, Torbay and South Devon NHS Foundation Trust, Torquay, UK
| | - Maggie H Shepherd
- Faculty of Health and Life Sciences, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
- National Institute for Health and Care Research, Exeter Clinical Research Facility, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Sarah E Flanagan
- Faculty of Health and Life Sciences, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Andrew T Hattersley
- Faculty of Health and Life Sciences, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
- National Institute for Health and Care Research, Exeter Clinical Research Facility, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
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Fokstuen S, Quteineh L, Schwitzgebel VM, Köhler-Ballan B, Blouin JL, Abramowicz M, Nouspikel T. Noninvasive prenatal diagnosis of Mendelian disorders for consanguineous couples by relative genotype dosage. Clin Genet 2023; 104:505-515. [PMID: 37434539 DOI: 10.1111/cge.14399] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/13/2023]
Abstract
Noninvasive prenatal diagnosis relies on the presence in maternal blood of circulating cell-free fetal DNA released by apoptotic trophoblast cells. Widely used for aneuploidy screening, it can also be applied to monogenic diseases (NIPD-M) in case of known parental mutations. Due to the confounding effect of maternal DNA, detection of maternal or biparental mutations requires relative haplotype dosage (RHDO), a method relying on the presence of SNPs that are heterozygous in one parent and homozygous in the other. Unavoidably, there is a risk of test failure by lack of such informative SNPs, an event particularly likely for consanguineous couples who often share common haplotypes in regions of identity-by-descent. Here we present a novel approach, relative genotype dosage (RGDO) that bypasses this predicament by directly assessing fetal genotype with SNPs that are heterozygous in both parents (frequent in regions of identity-by-descent). We show that RGDO is as sensitive as RHDO and that it performs well over a large range of fetal fractions and DNA amounts, thereby opening NIPD-M to most consanguineous couples. We also report examples of couples, consanguineous or not, where combining RGDO and RHDO allowed a diagnosis that would not have been possible with only one approach.
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Affiliation(s)
- Siv Fokstuen
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Lina Quteineh
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Valérie M Schwitzgebel
- Pediatric Endocrine and Diabetes Unit, Department of Pediatrics, Gynecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - Jean-Louis Blouin
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Marc Abramowicz
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Thierry Nouspikel
- Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Stankute I, Dobrovolskiene R, Danyte E, Steponaviciute R, Schwitzgebel VM, Verkauskiene R. Pancreatic beta-cell function dynamics in youth with GCK, HNF1A, and KCNJ11 genes mutations during mixed meal tolerance test. Pediatr Diabetes 2022; 23:1009-1016. [PMID: 36068963 PMCID: PMC9826376 DOI: 10.1111/pedi.13404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/21/2022] [Accepted: 08/14/2022] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVE The aims were (1) to assess beta-cell function in GCK diabetes patients over 2-year period; (2) to evaluate the dynamics of beta-cell function in HNF1A and KCNJ11 patients after treatment optimization; using mixed meal tolerance test (MMTT) as a gold standard for non-invasive beta-cell function assessment. RESEARCH DESIGN AND METHODS Twenty-two GCK diabetes patients, 22 healthy subjects, 4 patients with HNF1A and 2 with KCNJ11 were recruited. Firstly, beta-cell function was compared between GCK patients versus controls; the dynamics of beta-cell function were assessed in GCK patients with two MMTTs in 2-year period. Secondly, the change of beta-cell function was evaluated in HNF1A and KCNJ11 patients after successful treatment optimization in 2-year period. RESULTS GCK diabetes patients had lower area under the curve (AUC) of C-peptide (CP), average CP and peak CP compared to controls. Also, higher levels of fasting, average, peak and AUC of glycemia during MMTT were found in GCK patients compared to healthy controls. No significant changes in either CP or glycemia dynamics were observed in GCK diabetes group comparing 1st and 2nd MMTTs. Patients with HNF1A and KCNJ11 diabetes had significantly improved diabetes control 2 years after the treatment was optimized (HbA1c 7.1% vs. 5.9% [54 mmol/mol vs. 41 mmol/mol], respectively, p = 0.028). Higher peak CP and lower HbA1c were found during 2nd MMTT in patients with targeted treatment compared to the 1st MMTT before the treatment change. CONCLUSION In short-term perspective, GCK diabetes group revealed no deterioration of beta-cell function. Individualized treatment in monogenic diabetes showed improved beta-cell function.
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Affiliation(s)
- Ingrida Stankute
- Institute of EndocrinologyLithuanian University of Health SciencesKaunasLithuania,Medical AcademyLithuanian University of Health SciencesKaunasLithuania
| | | | - Evalda Danyte
- Institute of EndocrinologyLithuanian University of Health SciencesKaunasLithuania
| | - Rasa Steponaviciute
- Department of Laboratory MedicineLithuanian University of Health SciencesKaunasLithuania
| | - Valerie M. Schwitzgebel
- Pediatric Endocrine and Diabetes Unit, Department of Pediatrics, Gynecology and ObstetricsUniversity Hospitals of GenevaGenevaSwitzerland,Diabetes Center of the Faculty of MedicineUniversity of GenevaGenevaSwitzerland
| | - Rasa Verkauskiene
- Institute of EndocrinologyLithuanian University of Health SciencesKaunasLithuania
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Timsit J, Ciangura C, Dubois-Laforgue D, Saint-Martin C, Bellanne-Chantelot C. Pregnancy in Women With Monogenic Diabetes due to Pathogenic Variants of the Glucokinase Gene: Lessons and Challenges. Front Endocrinol (Lausanne) 2022; 12:802423. [PMID: 35069449 PMCID: PMC8766338 DOI: 10.3389/fendo.2021.802423] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 12/13/2021] [Indexed: 12/12/2022] Open
Abstract
Heterozygous loss-of-function variants of the glucokinase (GCK) gene are responsible for a subtype of maturity-onset diabetes of the young (MODY). GCK-MODY is characterized by a mild hyperglycemia, mainly due to a higher blood glucose threshold for insulin secretion, and an up-regulated glucose counterregulation. GCK-MODY patients are asymptomatic, are not exposed to diabetes long-term complications, and do not require treatment. The diagnosis of GCK-MODY is made on the discovery of hyperglycemia by systematic screening, or by family screening. The situation is peculiar in GCK-MODY women during pregnancy for three reasons: 1. the degree of maternal hyperglycemia is sufficient to induce pregnancy adverse outcomes, as in pregestational or gestational diabetes; 2. the probability that a fetus inherits the maternal mutation is 50% and; 3. fetal insulin secretion is a major stimulus of fetal growth. Consequently, when the fetus has not inherited the maternal mutation, maternal hyperglycemia will trigger increased fetal insulin secretion and growth, with a high risk of macrosomia. By contrast, when the fetus has inherited the maternal mutation, its insulin secretion is set at the same threshold as the mother's, and no fetal growth excess will occur. Thus, treatment of maternal hyperglycemia is necessary only in the former situation, and will lead to a risk of fetal growth restriction in the latter. It has been recommended that the management of diabetes in GCK-MODY pregnant women should be guided by assessment of fetal growth by serial ultrasounds, and institution of insulin therapy when the abdominal circumference is ≥ 75th percentile, considered as a surrogate for the fetal genotype. This strategy has not been validated in women with in GCK-MODY. Recently, the feasibility of non-invasive fetal genotyping has been demonstrated, that will improve the care of these women. Several challenges persist, including the identification of women with GCK-MODY before or early in pregnancy, and the modalities of insulin therapy. Yet, retrospective observational studies have shown that fetal genotype, not maternal treatment with insulin, is the main determinant of fetal growth and of the risk of macrosomia. Thus, further studies are needed to specify the management of GCK-MODY pregnant women during pregnancy.
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Affiliation(s)
- José Timsit
- Department of Diabetology, Université de Paris, AP-HP, Cochin-Port-Royal Hospital, DMU ENDROMED, Paris, France
- PRISIS National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity, Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, Paris, France
- Monogenic Diabetes Study Group of the Société Francophone du Diabète, Paris, France
| | - Cécile Ciangura
- PRISIS National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity, Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, Paris, France
- Monogenic Diabetes Study Group of the Société Francophone du Diabète, Paris, France
- Department of Diabetology, Sorbonne Université, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Danièle Dubois-Laforgue
- Department of Diabetology, Université de Paris, AP-HP, Cochin-Port-Royal Hospital, DMU ENDROMED, Paris, France
- PRISIS National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity, Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, Paris, France
- Monogenic Diabetes Study Group of the Société Francophone du Diabète, Paris, France
- INSERM U1016, Cochin Hospital, Paris, France
| | - Cécile Saint-Martin
- PRISIS National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity, Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, Paris, France
- Department of Medical Genetics, Sorbonne Université, AP-HP, Pitié-Salpêtrière Hospital, DMU BioGeM, Paris, France
| | - Christine Bellanne-Chantelot
- PRISIS National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity, Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, Paris, France
- Monogenic Diabetes Study Group of the Société Francophone du Diabète, Paris, France
- Department of Medical Genetics, Sorbonne Université, AP-HP, Pitié-Salpêtrière Hospital, DMU BioGeM, Paris, France
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