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Ba T, Ren Q, Gong S, Li M, Cai X, Liu W, Luo Y, Zhang S, Zhang R, Zhou L, Zhu Y, Zhang X, Chen J, Wu J, Zhou X, Li Y, Wang X, Wang F, Zhong L, Han X, Ji L. Phenotypic features, prevalence of KCNJ11-MODY in Chinese patients with early-onset diabetes and a literature review. Clin Endocrinol (Oxf) 2024. [PMID: 39190464 DOI: 10.1111/cen.15126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 07/29/2024] [Indexed: 08/28/2024]
Abstract
OBJECTIVE Gain-of-function (GOF) variants of KCNJ11 cause neonate diabetes and maturity-onset diabetes of the young (KCNJ11-MODY), while loss-of-function (LOF) variants lead to hyperinsulinemia hypoglycemia and subsequent diabetes. Given the limited research of KCNJ11-MODY, we aimed to analyse its phenotypic features and prevalence in Chinese patients with early-onset type 2 diabetes (EOD). DESIGN, PATIENTS AND MEASUREMENTS We performed next-generation sequencing on 679 Chinese EOD patients to screen for KCNJ11 exons variants. Bioinformatics prediction and the American College of Medical Genetics and Genomics guidelines was used to determine the pathogenicity and diagnosed KCNJ11-MODY. A literature review was conducted to investigate the phenotypic features of KCNJ11-MODY. RESULTS We identified six predicted deleterious rare variants in six EOD patients (0.88%). They were classified as uncertain significance (variant of uncertain significance [VUS]), but more common in this EOD cohort than a general Chinese population database, however, without significant difference (53/10,588, 0.50%) (p = .268). Among 80 previously reported patients with KCNJ11-MODY, 23.8% (19/80) carried 9 (32.1%) LOF variants, who had significantly older age at diagnosis, higher birthweight and higher fasting C-peptide compared to patients with GOF variants. Many patients carrying VUS were not correctly diagnosed. CONCLUSIONS Some rare variants of KCNJ11 might contribute to the development of Chinese EOD, although available evidence has not enough power to support them as cause of KCNJ11-MODY. The clinical features of LOF variants were different from GOF variants in KCNJ11-MODY patients. It is necessary to evaluate the pathogenicity of VUS through function experiments.
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Affiliation(s)
- Tianhao Ba
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Qian Ren
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Siqian Gong
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Meng Li
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Wei Liu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Yingying Luo
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Simin Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Rui Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Lingli Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Yu Zhu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Xiuying Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Jing Chen
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Jing Wu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Yufeng Li
- Department of Endocrinology and Metabolism, Beijing Pinggu Hospital, Beijing, China
| | - Xirui Wang
- Department of Endocrinology and Metabolism, Beijing Airport Hospital, Beijing, China
| | - Fang Wang
- Department of Endocrinology and Metabolism, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Liyong Zhong
- Department of Endocrinology and Metabolism, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
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Pavithram A, Zhang H, Maloney KA, Ringdal M, Kaci A, Sagen JV, Kleinberger J, Jeng LJB, Njølstad PR, Pollin TI, Molnes J, Johansson BB. In Vitro Functional Analysis Can Aid Precision Diagnostics of HNF1B-MODY. J Mol Diagn 2024; 26:530-541. [PMID: 38575066 DOI: 10.1016/j.jmoldx.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/18/2024] [Accepted: 03/01/2024] [Indexed: 04/06/2024] Open
Abstract
Precision medicine relies on accurate and consistent classification of sequence variants. A correct diagnosis of hepatocyte nuclear factor (HNF) 1B maturity-onset diabetes of the young, caused by pathogenic variants in the HNF1B gene, is important for optimal disease management and prognosis, and it has implications for genetic counseling and follow-up of at-risk family members. We hypothesized that the functional characterization could provide valuable information to assist the interpretation of pathogenicity of HNF1B variants. Using different in vitro functional assays, variants identified among 313 individuals, suspected to have monogenic diabetes with or without kidney disease, were characterized. The data from the functional assays were subsequently conjugated with obtained clinical, biochemical, and in silico data. Two variants (p.A167P, p.H336Pfs∗22) showed severe loss of function due to impaired transactivation, reduced DNA binding (p.A167P), and mRNA instability (p.A167P). Although both these variant carriers were diagnosed with diabetes, the p.H336Pfs∗22 carrier also had congenital absence of a kidney, which is a characteristic trait for HNF1B maturity-onset diabetes of the young. Functional analysis of the p.A167P variant revealed damaging effects on HNF-1B protein function, which may warrant imaging of the kidneys and/or pancreas. In addition, the current study has generated important data, including evidence supporting the benign functional impact of five variants (p.D82N, p.T88A, p.N394D, p.V458G, and p.T544A), and piloting new approaches that will prove critical for the growth of HNF1B-diabetes diagnosis.
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Affiliation(s)
- Aishwarya Pavithram
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Haichen Zhang
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Monika Ringdal
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Alba Kaci
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Jørn V Sagen
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Jeffrey Kleinberger
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Linda J B Jeng
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland; US Food and Drug Administration, Silver Spring, Maryland
| | - Pål R Njølstad
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway; Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Janne Molnes
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.
| | - Bente B Johansson
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway.
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Yu R, Zhang H, Xiao X. Partial GCK gene deletion mutations causing maturity-onset diabetes of the young. Acta Diabetol 2024; 61:107-115. [PMID: 37704826 DOI: 10.1007/s00592-023-02173-1] [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: 06/07/2023] [Accepted: 08/17/2023] [Indexed: 09/15/2023]
Abstract
AIMS Maturity-onset diabetes of the young (MODY) is an autosomal dominant monogenic form of diabetes, and glucokinase-maturity-onset diabetes of the young (GCK-MODY), or MODY 2, being the most prevalent type. However, the presence of copy number variants (CNVs) may lead to misdiagnoses, as genetic testing for MODY is typically reliant on sequencing techniques. This study aimed to describe the process of diagnosis in a Chinese pedigree with an exon 8-10 deletion of the GCK gene. METHODS This study collected clinical data and medical history through direct interviews with the patient and reviewing relevant medical records. Sanger sequencing and whole exome sequencing (WES) were conducted over years of follow up. WES-based CNV sequencing technology was used to detect CNVs and the results were validated by multiplex ligation-dependent amplification dosage assay (MLPA). Additionally, we reviewed the previously reported cases caused by heterozygous exon deletion of the GCK gene. RESULTS WES-based CNV detection revealed a heterozygous exon 8-10 deletion in the GCK gene within this particular pedigree after Sanger sequencing and WES failed to find causal variants in single nucleotide variations (SNVs) and small indels. The deletion was considered pathogenic according to ACMG/AMP and ClinGen guidelines. Most of the previously reported cases caused by heterozygous exon deletion or whole gene deletion of the GCK gene present similarly to GCK-MODY caused by SNVs and small indels. CONCLUSIONS This study contributed to progress in our comprehension of the mutation spectrum of the GCK gene and underscored the significance of CNV detection in the genetic testing of MODY.
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Affiliation(s)
- Ruiqi Yu
- Key Laboratory of Endocrinology of National Health Commission, Diabetes Research Center of Chinese Academy of Medical Sciences, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Haichen Zhang
- Key Laboratory of Endocrinology of National Health Commission, Diabetes Research Center of Chinese Academy of Medical Sciences, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
- The Beijing Genomics Institute-Research, Beijing, 100101, China
| | - Xinhua Xiao
- Key Laboratory of Endocrinology of National Health Commission, Diabetes Research Center of Chinese Academy of Medical Sciences, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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Yao Q, Gorevic P, Shen B, Gibson G. Genetically transitional disease: a new concept in genomic medicine. Trends Genet 2023; 39:98-108. [PMID: 36564319 DOI: 10.1016/j.tig.2022.11.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/02/2022] [Accepted: 11/27/2022] [Indexed: 12/24/2022]
Abstract
Traditional classification of genetic diseases as monogenic and polygenic has lagged far behind scientific progress. In this opinion article, we propose and define a new terminology, genetically transitional disease (GTD), referring to cases where a large-effect mutation is necessary, but not sufficient, to cause disease. This leads to a working disease nosology based on gradients of four types of genetic architecture: monogenic, polygenic, GTD, and mixed. We present four scenarios under which GTD may occur; namely, subsets of traditionally Mendelian disease, modifiable Tier 1 monogenic conditions, variable penetrance, and situations where a genetic mutational spectrum produces qualitatively divergent pathologies. The implications of the new nosology in precision medicine are discussed, in which therapeutic options may target the molecular cause or the disease phenotype.
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Affiliation(s)
- Qingping Yao
- Division of Rheumatology, Allergy, and Immunology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, USA.
| | - Peter Gorevic
- Division of Rheumatology, Allergy, and Immunology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Bo Shen
- Center for Inflammatory Bowel Diseases, New York-Presbyterian/Columbia University Irving Medical Center, New York, NY, USA
| | - Greg Gibson
- Center for Integrative Genomics, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
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Tosur M, Gandolfo L, Balasubramanyam A, Naylor RN, Pollin TI, Rasouli N, Cromer SJ, Buse JB, Redondo MJ. Enrollment of underrepresented racial and ethnic groups in the Rare and Atypical Diabetes Network (RADIANT). J Clin Transl Sci 2023; 7:e47. [PMID: 36845305 PMCID: PMC9947614 DOI: 10.1017/cts.2022.529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/21/2022] [Indexed: 01/25/2023] Open
Abstract
Introduction Diabetes mellitus in underrepresented racial and ethnic groups (URG) is rapidly increasing in incidence and has worse outcomes than diabetes in non-Hispanic White individuals. Rare and Atypical Diabetes Network (RADIANT) established recruitment targets based on the racial and ethnic distribution of the USA to enroll a diverse study population. We examined participation of URG across RADIANT study stages and described strategies to enhance recruitment and retention of URG. Materials and Methods RADIANT is a multicenter NIH-funded study of people with uncharacterized forms of atypical diabetes. RADIANT participants consent online and progress through three sequential study stages, as eligible. Results We enrolled 601 participants with mean age 44 ± 16.8 years, 64.4% female. At Stage 1, 80.6% were White, 7.2% African American (AA), 12.2% other/more than one race, and 8.4% Hispanic. Enrollment of URG was significantly below preset targets across most stages. Referral sources differed by race (p < 0.001) but not ethnicity (p = 0.15). Most AA participants were referred by RADIANT investigators (58.5% vs. 24.5% in Whites), whereas flyers, news, social media, and family or friends were more frequent referral sources for White individuals (26.4% vs. 12.2% in AA). Ongoing initiatives to increase enrollment of URG in RADIANT include engaging with clinics/hospitals serving URG, screening electronic medical records, and providing culturally competent study coordination and targeted advertisement. Conclusions There is low participation of URG in RADIANT, potentially limiting the generalizability of its discoveries. Investigations into barriers and facilitators for recruitment and retention of URG in RADIANT, with implications for other studies, are ongoing.
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Affiliation(s)
- Mustafa Tosur
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
- Children’s Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Laura Gandolfo
- Health Informatics Institute, University of South Florida, Tampa, FL, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA
| | - Rochelle N. Naylor
- Division of Adult and Pediatric Endocrinology Diabetes, and Metabolism, Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - Toni I. Pollin
- Departments of Medicine and Epidemiology & Public Health, University of Maryland, Baltimore, MD, USA
| | - Neda Rasouli
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado, Aurora, CO, USA
| | - Sara J. Cromer
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - John B. Buse
- Division of Endocrinology, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Maria J. Redondo
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
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Monogenetischer Diabetes: Wie lässt sich die Diagnostik verbessern? DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1733-0604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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