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. Author manuscript; available in PMC: 2020 May 4.
Published in final edited form as: Diabetes Res Clin Pract. 2019 May 4;151:231–236. doi: 10.1016/j.diabres.2019.04.017

GCK-MODY in the US Monogenic Diabetes Registry: description of 27 unpublished variants

May Sanyoura 1, Lisa Letourneau 1, Amy E Knight Johnson 2, Daniela del Gaudio 2, Siri Atma W Greeley 1, Louis H Philipson 1, Rochelle N Naylor 1
PMCID: PMC6544496  NIHMSID: NIHMS1528635  PMID: 31063852

Abstract

We report on 134 unique GCK variants in 217 families, including 27 unpublished variants, identified in the US Monogenic Diabetes Registry in the last decade. Using ACMG guidelines, 26% were pathogenic, 56% likely pathogenic and 18% were of uncertain significance. Those with pathogenic variants had clinical features consistent with GCK-MODY.

Keywords: monogenic diabetes, MODY, glucokinase, pathogenic variants, next-generation sequencing

1. Introduction

Maturity-Onset Diabetes of the Young (MODY) refers to a clinically and genetically heterogeneous group of monogenic forms of diabetes. MODY is characterized by an autosomal dominant mode of inheritance, young onset typically before 35 years of age, and a non-insulin-dependent clinical presentation [1]. To date, 14 genetically distinct subtypes of MODY have been described and collectively account for about 2-5% of all diabetes cases [2-5]. Glucokinase (gene symbol-GCK), a key enzyme in glucose metabolism, regulates insulin secretion in response to variations in blood glucose levels. Loss of function mutations in the heterozygous state in GCK cause GCK-MODY (formerly known as MODY-2), which is characterized by mild non-progressive fasting hyperglycemia which is present at birth but typically detected incidentally during routing medical screening [6]. Fasting blood glucose typically ranges from 5.5-8 mmol/L, and there is usually a small incremental rise in blood glucose during an oral glucose tolerance test (generally below 3 mmol/L). Glycated hemoglobin (HbA1c) levels are mildly elevated and usually range between 5.6-7.6% [7,8]. Despite lifelong mild hyperglycemia, microvascular and macrovascular complications are rare in patients with pathogenic GCK variants and pharmacological intervention is rarely required outside of pregnancy [9]. There are now over 800 reported variants in the Human Gene Mutation Database (HGMD) distributed throughout most of the coding regions and the exon—intron boundaries of the GCK gene [10]. Pathogenic GCK variants are present in 1 in 1000 individuals, yet most cases of GCK-MODY are undiagnosed or misdiagnosed as type 1 or type 2 diabetes [11, 12]. The Institutional Review Board (IRB)-approved US Monogenic Diabetes Registry, housed at the University of Chicago, was established to correctly diagnose and follow families with monogenic forms of diabetes (http://monogenicdiabetes.uchicago.edu/) [13]. To date, 1552 families with a known or suspected form of monogenic diabetes have been consented for participation in the Registry. A total of 371 families were found to have pathogenic mutations causative of MODY of which 189 were found to have a previously reported pathogenic variant causative of GCK-MODY. Here, we describe the molecular characteristics and associated clinical features of 27 unreported GCK variants identified in 28 families.

2. Materials and Methods

Within the Registry a clinical diagnosis of GCK-MODY was suspected in patients with persistent mild fasting hyperglycemia and/or an HbA1c level within the expected range for GCK-MODY [8]. A genetic diagnosis was performed using Sanger sequencing or a targeted next-generation sequencing (NGS) panel as described previously [14, 15]. Briefly, NGS data quality was assessed using fastQC and aligned to the hg19 reference using Burrow-Wheeler Aligner. Variants were called using the Genome analysis Toolkit based on the best practices for variant discovery and annotated using Alamut Batch (Interactive Biosoftware, Rouen, France). Variants with a global frequency >1% in EXAC were excluded [16]. Three different computational tools (PolyPhen-2, SIFT, and Human Splice Finder) were used to obtain pathogenicity predictions for each variant. All variants were classified based on degree of pathogenicity (pathogenic/likely pathogenic, variant of uncertain significance (VUS), and benign/likely benign) in accordance with the American College of Medical Genetics (ACMG) guidelines [17]. Pathogenic variants were confirmed by Sanger sequencing and co-segregation with the diabetic phenotype was evaluated by targeted sequencing analysis of enrolled family members. HGMD and Pubmed were used to determine whether the variant was previously reported. ClinVar was used as a reliable source supporting variant interpretation [18]. However, sequence changes identified in this study that were reported in ClinVar but not previously published were considered novel.

3. Results

Through December 2018, 359 people were referred for suspected or confirmed GCK-MODY, with 217 probands testing positive for a GCK variant either by Sanger sequencing or MODY gene panel. Of these, 72% were tested either on a research or clinical basis through the University of Chicago. Seventy-four probands have yet to be tested. Clinical information was available for a subset of probands with GCK variants (Table 1). Overall, clinical findings were similar to those with previously described pathogenic GCK variants in the [12]. Sequence analysis identified 134 GCK variants in 217 families from the year 2008 to 2018. Of these, 107 variants were previously reported in the literature as causal. The remaining 27 variants, present in 28 probands, were to the best of our knowledge not previously described or reported (Table 2). These included 17 missense, 1 nonsense, 2 splice sites, 1 in-frame deletion, 1 in-frame duplication, and 5 insertions/deletions. After interpretation using the ACMG guidelines, 26% (7/27) of the novel GCK variants were found to be pathogenic, 56% (15/27) were likely pathogenic and 18% (5/27) were of uncertain significance. All novel variants except for Met210dup were identified in a single family. Seven variants (p.Lys13X, p.Leu185Pro, p.Val207Leu, p.Glu227Hisfs*47, p.Cys252Trp, p.Arg275Leu, and p.Ser281Pro) were previously reported by our group [12, Supplementary Table] but are not included in the professional version of HGMD and are therefore further described in Table 2. Parental or extended family DNA was available for 10 out of 28 probands and co-segregation with the diabetes phenotype was established in those cases. Four of the five VUS (p.Ser127Pro, p.His141Pro, c.579+4delA, and p.Leu307Phe) were predicted to be damaging by in-silico tools. However, due to the lack of segregation data and/or phenotypic data on family members, these variants did not satisfy classification requirements for pathogenic or likely pathogenic. The p.Leu307Phe sequence change was identified in one proband with no family history of diabetes. Targeted sequencing of the parents’ DNA did not detect this sequence change and was thus presumed to be de novo in the proband. Paternity testing was not performed. The p.His317Gln moderately conserved sequence change was predicted to be tolerated by in-silico tools. This variant was detected in one proband and her mother, both of whom had stable, mild fasting hyperglycemia levels of 5.8-6.1mmol/l and 6-6.3mmol/l respectively. However, the proband reported an HbA1c level of 5.2% which is below the expected range for GCK-MODY.

Table 1:

Clinical characteristics of probands with novel GCK variants

Total Number of Probands (n) 28
Gender
  • Female 18 (64%)
  • Male 10 (36%)
Ethnicity
  • Caucasian 19 (68%)
  • Asian 2 (7%)
  • Hispanic 2 (7%)
  • Unreported 5 (18%)
Previous antibody testing (n=11)
  • Negative 10 (91%)
Positive* 1 (9%)
Family history with hyperglycemia (reported parent with diabetes or hyperglycemia) (n=20)
  • Yes 17 (85%)
  • No** 3 (15%)
All variants P variants LP variants VUS
Age at Clinical Diagnosis (n=27) 16 years (7-29 years) 13 years (n=7) 15 years (n=15) 23 years (n=5)
  • Females (n=18) 24 years (11-33 years) 7 years (n=5) 26 years (n=9) 24 years (n=4)
  • Males (n=9) 10 years (6-19 years) 24.5 (n=2) 8 years (n=6) 5 years (n=1)
Fasting plasma glucose (n=14) 6.96mmol/L (6.55-7.21mmol/L) 6.85mmol/L (n=2) 6.99mmol/L (n=9) 6.27mmol/L (n=3)
HbA1c at clinical diagnosis (n=19) 6.3% (6-6.5%) 6.25% (n=4) 6.2% (n=11) 6.35% (n=4)
BMI at clinical diagnosis (m/kg2) for adult patients (n=14)*** 20.74 18.55 (n=4) 20.65 (n=8) 20.9 (n=2)

n: number of probands with available clinical data; P: pathogenic; LP: likely pathogenic; VUS: variant of unknown significance Data are presented as median values (interquartile range)

*

One proband carrying the p.Asn180Lys mutation tested positive for Znt8 autoantibody however oral glucose tolerance test and HbA1c levels were consistent with GCK-MODY. Furthermore, the proband’s type 1 diabetes risk was below the 5th percentile [25].

**

One proband reported an affected daughter with the same variant (c.680-2A>C), another was presumed to have a de novo variant (p.Leu307Phe), and the third reported no parental history (p.Gly410Asp).

***

BMI Normal weight: 18.5-24.8kg/m2. BMI percentiles were calculated for pediatric patients (n=5). All pediatric patients had BMI percentiles in the normal range (5th-85th percentile).

Table 2:

Molecular characteristics of novel GCK variants

Nucleotide Amino Acida Exon GnomAD
MAFb
Polyphen
Scorec
SIFT
Scored
Human splice
Finder
Variant
Classificatione
Number of Families
(Number of
members)
c.37A>T Lys13* 1 0 - - P 1 (4)
c.98T>A Val33Glu 2 0 0.99 0 LP 1 (1)
c.215G>A Gly72Glu 3 0 1 0 LP 1 (3)
c.295del Trp99Glyfs*3 3 0 - - P 1 (1)
c.317_333del Gln106Argfs*9 3 0 - - P 1 (1)
c.344dup Met115Ilefs*6 3 0 - - P 1 (2)
c.364C>A Leu122Ile 4 0 0.985 0 LP 1 (3)
c.379T>C Ser127Pro 4 0 0.832 0 VUS 1 (1)
c.422A>C His141Pro 4 0 0.99 0 VUS 1 (1)
c.503C>A Thr168Asn 5 0 1 0 LP 1 (7)
c.511T>G Phe171val 5 0 1 0 LP 1 (1)
c.540T>A Asn180Lys 5 0 1 0 LP 1 (1)
c.554T>C Leu185Pro 5 0 1 0 LP 1 (3)
c.554T>G Leu185Arg 5 0 1 0 LP 1 (1)
c.579+4delA Intron 5 - - Alteration of the WT donor site VUS 1 (1)
c.619G>T Val207leu 6 0 0.998 0 LP 1 (3)
c.630_632dup Met210dup 6 0 LP 2 (2,3)
c.632T>A Ile211Asn 6 0 1 0 LP 1 (1)
c.678_679+2del Gly227Hisfs*47 6 0 - - P 2 (3,1)
c.680-2A>C Intron 6 - - Alteration of the WT acceptor site P 1 (2)
c.680G>A Gly227Asp 7 0 1 0 LP 1 (2)
c.756C>G Cys252Trp 7 0 1 0 LP 1 (2)
c.824G>T Arg275Leu 7 0 0.616 0 LP 1 (1)
c.841T>C Ser281Pro 7 0 1 0 LP 1(1)
c.848del Asn283Thrfs*11 7 0 - - P 1 (1)
c.908G>A Arg303Gln 8 0.0004081% 1 0 LP 1 (1)
c.919C>T Leu307Phe 8 0 0.718 0 VUS 1 (1)*
c.951 C>G His317Gln 8 0 0.013 0.17 VUS 1 (2)
c.1082dupC T362Hisfs*97 9 0 - - P 1 (1)
c.1113C>A Cys371* 9 0 - - P 1 (1)
c.1130_1138del Arg377_Ala379del 9 0 - - LP 1 (3)
c.1173C>A Asn391Lys 9 0 1 0 LP 1 (1)
c.1181G>C Arg394Pro 9 0 0.99 0 LP 1 (1)
c.1229G>A Gly410Asp 9 0 1 0 LP 1 (1)

Abbreviations: gnomAD, Genome Aggregation Database; WT, Wild Type; MAF, Minor Allele Frequency; N/A, not available

a

RefSeq reference transcript: NM_000162.3 (GCK)

b

MAF from gnomAD was calculated using allele count / allele number.

c

Polyphen-2 scores range from 0.0 to 1.0 and can be interpreted as follows: 0.0 to 0.15 –benign, 0.15 to 0.85 --possibly damaging, 0.85 to 1.0 -- probably damaging.

d

SIFT scores range from 0.0 to 1.0 and can be interpreted as follows: 0.0 to 0.05 -deleterious, 0.05 to 1.0 - tolerated (benign)

e

Variants were classified according to the ACMG 5-tier system: P, pathogenic; LP, likely pathogenic; VUS, variant of uncertain significance.

Gestational diabetes

*

Presumed to be de novo

4. Discussion

Pathogenic variants in GCK represent the most common cause of MODY in the Registry, accounting for 57% of all MODY cases. This is consistent with other studies reporting a high prevalence of GCK-MODY as a percentage of all MODY patients (France, 56%; Italy, 41–61%; Spain, 25–80%; Czech Republic, 31%; Norway 12%, Chile, 50%) [19-23]. In this study, we identified 27 previously unreported GCK variants distributed throughout the gene with no particular variant associated with a more severe phenotype (Table 1). Their phenotype was similar to probands with pathogenic variants previously reported as causal for GCK-MODY. The main limitations of this study include incomplete clinical information, family history, and segregation studies which may have provided further evidence of pathogenicity.

Given the mild hyperglycemia and lack of associated complications, GCK-MODY can be considered a discrete genetic cause of mild hyperglycemia rather than a subtype of diabetes. Yet, there remains a significant clinical utility in making a correct diagnosis as patients with GCK-MODY do not require treatment except possibly in pregnancy [24]. Our report of 22 pathogenic and likely pathogenic variants will help to correctly diagnose other patients with these same variants. Moreover, our report of the 5 VUS will assist in future studies to determine the pathogenicity of these variants.

Acknowledgements

We wish to thank all the participants and families who were involved in this study.

Funding sources

This work was supported by grants from the National Institutes of Health under award numbers: R01DK104942, K23DK114564, and the University of Chicago DRTC Grant P30DK020595.

Footnotes

Conflicts of interest

All authors declare to have no conflicts of interest of any kind.

Contributions of the authors

May Sanyoura and Rochelle Naylor wrote the manuscript and participated in the discussion. May Sanyoura, Daniela del Gaudio, and Amy Knight Johnson interpreted the genetics results and edited the final version. Louis Philipson, Rochelle Naylor, Siri Greeley, and Lisa Letourneau were involved in patient recruitment, diagnosis, and participated in writing and editing. All authors approved the final version of the manuscript.

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References

  • [1].Fajans SS, Bell GI. MODY: history, genetics, pathophysiology, and clinical decision making. Diabetes Care. 2011;34:1878–84.doi: 10.2337/dc11-0035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2].Fendler W, Borowiec M, Baranowska-Jazwiecka A, Szadkowska A, Skala-Zamorowska E, Deja G, et al. Prevalence of monogenic diabetes amongst Polish children after a nationwide genetic screening campaign. Diabetologia. 2012;55:2631–5.doi: 10.1007/s00125-012-2621-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Irgens HU, Molnes J, Johansson BB, Ring dal M, Skrivarhaug T, Undlien DE, et al. Prevalence of monogenic diabetes in the population-based Norwegian Childhood Diabetes Registry. Diabetologia. 2013;56:1512–9.doi: 10.1007/s00125-013-2916-y. [DOI] [PubMed] [Google Scholar]
  • [4].Johansson BB, Irgens HU, Molnes J, Sztromwasser P, Aukrust I, Juliusson PB, et al. Targeted next-generation sequencing reveals MODY in up to 6.5% of antibody-negative diabetes cases listed in the Norwegian Childhood Diabetes Registry. Diabetologia. 2017;60:625–35.doi: 10.1007/s00125-016-4167-1. [DOI] [PubMed] [Google Scholar]
  • [5].Shepherd M, Shields B, Hammersley S, Hudson M, McDonald TJ, Colclough K, et al. Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes. Diabetes Care. 2016;39:1879–88.doi: 10.2337/dc16-0645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Byrne MM, Sturis J, Clement K, Vionnet N, Pueyo ME, Stoffel M, et al. Insulin secretory abnormalities in subjects with hyperglycemia due to glucokinase mutations. J Clin Invest. 1994;93:1120–30.doi: 10.1172/JCI117064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Ellard S, Bellanne-Chantelot C, Hattersley AT, European Molecular Genetics Quality Network Mg. Best practice guidelines for the molecular genetic diagnosis of maturity-onset diabetes of the young. Diabetologia. 2008;51:546–53.doi: 10.1007/s00125-008-0942-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Steele AM, Wensley KJ, Ellard S, Murphy R, Shepherd M, Colclough K, et al. Use of HbA1c in the identification of patients with hyperglycaemia caused by a glucokinase mutation: observational case control studies. PLoS One. 2013;8:e65326.doi: 10.1371/journal.pone.0065326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Steele AM, Shields BM, Wensley KJ, Colclough K, Ellard S, Hattersley AT. Prevalence of vascular complications among patients with glucokinase mutations and prolonged, mild hyperglycemia. JAMA. 2014;311:279–86.doi: 10.1001/jama.2013.283980. [DOI] [PubMed] [Google Scholar]
  • [10].Stenson PD, Ball EV, Mort M, Phillips AD, Shiel JA, Thomas NS, et al. Human Gene Mutation Database (HGMD): 2003 update. Hum Mutat. 2003;21:577–81.doi: 10.1002/humu.10212. [DOI] [PubMed] [Google Scholar]
  • [11].Chakera AJ, Spyer G, Vincent N, Ellard S, Hattersley AT, Dunne FP. The 0.1% of the population with glucokinase monogenic diabetes can be recognized by clinical characteristics in pregnancy: the Atlantic Diabetes in Pregnancy cohort. Diabetes Care. 2014;37:1230–6.doi: 10.2337/dc13-2248. [DOI] [PubMed] [Google Scholar]
  • [12].Carmody D, Naylor RN, Bell CD, Berry S, Montgomery JT, Tadie EC, et al. GCK-MODY in the US National Monogenic Diabetes Registry: frequently misdiagnosed and unnecessarily treated. Acta Diabetol. 2016;53:703–8.doi: 10.1007/s00592-016-0859-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Greeley SA, Naylor RN, Cook LS, Tucker SE, Lipton RB, Philipson LH. Creation of the Web-based University of Chicago Monogenic Diabetes Registry: using technology to facilitate longitudinal study of rare subtypes of diabetes. J Diabetes Sci Technol. 2011;5:879–86.doi: 10.1177/193229681100500409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Alkorta-Aranburu G, Carmody D, Cheng YW, Nelakuditi V, Ma L, Dickens JT, et al. Phenotypic heterogeneity in monogenic diabetes: the clinical and diagnostic utility of a gene panel-based next-generation sequencing approach. Mol Genet Metab. 2014; 113:315–20.doi: 10.1016/j.ymgme.2014.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Alkorta-Aranburu G, Sukhanova M, Carmody D, Hoffman T, Wysinger L, Keller-Ramey J, et al. Improved molecular diagnosis of patients with neonatal diabetes using a combined next-generation sequencing and MS-MLPA approach. J Pediatr Endocrinol Metab. 2016;29:523–31.doi: 10.1515/jpem-2015-0341. [DOI] [PubMed] [Google Scholar]
  • [16].Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature. 2016;536:285–91.doi: 10.1038/nature19057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17].Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 2015. p. 405–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Landrum MJ, Lee JM, Benson M, Brown GR, Chao C, Chitipiralla S, et al. ClinVar: improving access to variant interpretations and supporting evidence. Nucleic Acids Res. 2018;46:D1062–D7.doi: 10.1093/nar/gkx1153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Froguel P, Zouali H, Vionnet N, Velho G, Vaxillaire M, Sun F, et al. Familial hyperglycemia due to mutations in glucokinase. Definition of a subtype of diabetes mellitus. N Engl J Med. 1993;328:697–702.doi: 10.1056/NEJM199303113281005. [DOI] [PubMed] [Google Scholar]
  • [20].Barrio R, Bellanne-Chantelot C, Moreno JC, Morel V, Calle H, Alonso M, et al. Nine novel mutations in maturity-onset diabetes of the young (MODY) candidate genes in 22 Spanish families. J Clin Endocrinol Metab. 2002;87:2532–9.doi: 10.1210/jcem.87.6.8530. [DOI] [PubMed] [Google Scholar]
  • [21].Massa O, Meschi F, Cuesta-Munoz A, Caumo A, Cerutti F, Toni S, et al. High prevalence of glucokinase mutations in Italian children with MODY. Influence on glucose tolerance, first-phase insulin response, insulin sensitivity and BMI. Diabetologia. 2001;44:898–905 [DOI] [PubMed] [Google Scholar]
  • [22].Codner E, Rocha A, Deng L, Martinez-Aguayo A, Godoy C, Mericq V, et al. Mild fasting hyperglycemia in children: high rate of glucokinase mutations and some risk of developing type 1 diabetes mellitus. Pediatr Diabetes. 2009;10:382–8.doi: 10.1111/j.1399-5448.2009.00499.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Sagen JV, Bjorkhaug L, Molnes J, Raeder H, Grevle L, Sovik O, et al. Diagnostic screening of MODY2/GCK mutations in the Norwegian MODY Registry. Pediatr Diabetes. 2008;9:442–9.doi: 10.1111/j.1399-5448.2008.00399.x. [DOI] [PubMed] [Google Scholar]
  • [24].Dickens LT, Naylor RN. Clinical Management of Women with Monogenic Diabetes During Pregnancy. Curr Diab Rep. 2018;18:12.doi: 10.1007/s11892-018-0982-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [25].Patel KA, Oram RA, Flanagan SE, De Franco E, Colclough K, Shepherd M, et al. Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes. Diabetes. 2016;65:2094–9.doi: 10.2337/db15-1690. [DOI] [PMC free article] [PubMed] [Google Scholar]

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