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Bioinformatics pipeline for the systematic mining genomic and proteomic variation linked to rare diseases: The example of monogenic diabetes.

Monogenic diabetes is characterized as a group of diseases caused by rare variants in single genes. Like for other rare diseases, multiple genes have been linked to monogenic diabetes with different measures of pathogenicity, but the information on the genes and variants is not unified among different resources, making it challenging to process them informatically. We have developed an automated pipeline for collecting and harmonizing data on genetic variants linked to monogenic diabetes. Furthermore, we have translated variant genetic sequences into protein sequences accounting for all protein isoforms and their variants. This allows researchers to consolidate information on variant genes and proteins linked to monogenic diabetes and facilitates their study using proteomics or structural biology. Our open and flexible implementation using Jupyter notebooks enables tailoring and modifying the pipeline and its application to other rare diseases.

Humans

Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.

Type 2 diabetes (T2D) genome-wide association studies (GWASs) often overlook rare variants as a result of previous imputation panels' limitations and scarce whole-genome sequencing (WGS) data. We used TOPMed imputation and WGS to conduct the largest T2D GWAS meta-analysis involving 51,256 cases of T2D and 370,487 controls, targeting variants with a minor allele frequency as low as 5 × 10-5. We identified 12 new variants, including a rare African/African American-enriched enhancer variant near the LEP gene (rs147287548), associated with fourfold increased T2D risk. We also identified a rare missense variant in HNF4A (p.Arg114Trp), associated with eightfold increased T2D risk, previously reported in maturity-onset diabetes of the young with reduced penetrance, but observed here in a T2D GWAS. We further leveraged these data to analyze 1,634 ClinVar variants in 22 genes related to monogenic diabetes, identifying two additional rare variants in HNF1A and GCK associated with fivefold and eightfold increased T2D risk, respectively, the effects of which were modified by the individual's polygenic risk score. For 21% of the variants with conflicting interpretations or uncertain significance in ClinVar, we provided support of being benign based on their lack of association with T2D. Our work provides a framework for using rare variant GWASs to identify large-effect variants and assess variant pathogenicity in monogenic diabetes genes.

Diabetes Mellitus, Type 2

Glycemic and Renal Effects of SGLT2 Inhibitors in Monogenic Diabetes: A Real-World National Study.

AIMS: Evidence regarding the efficacy and safety of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in monogenic diabetes is limited. We evaluated real-world metabolic, renal, and safety outcomes of SGLT2i therapy in adults with monogenic diabetes. MATERIALS AND METHODS: This multicenter retrospective study included adults with genetically confirmed monogenic diabetes treated with SGLT2i. Clinical and biological data were collected at baseline and after approximately 1 and 2 years. Longitudinal changes were analysed using linear mixed-effects models adjusted for baseline value, age, and sex and treatment intensification. RESULTS: Forty patients (mean age 48.6 ± 15.2 years) with MIDD (n = 16), HNF1B-MODY (n = 9), HNF1A/HNF4A-MODY (n = 11), or other MODY subtypes (ABCC8, INS, RFX6; n = 4) were followed for 23.9 ± 5.9 months. HbA1c remained stable overall but decreased significantly in patients with baseline HbA1c ≥ 8% (9.6% ± 1.3% to 7.6% ± 0.7%; p = 0.001). UACR declined significantly (-35.6% at 1 year and -43.5% at 2 years; p = 0.004), particularly in those with baseline CKD (trend). Genotype-specific trends suggested greater glycemic improvement in HNF1A/HNF4A-MODY and greater UACR reduction in MIDD. eGFR declined modestly over time. Non-serious adverse events occurred in 15% of patients, 7.5% discontinued treatment, and no ketoacidosis, acute kidney injury, or deaths were reported. CONCLUSIONS: In this nationwide cohort of patients with monogenic diabetes-the largest reported to date-SGLT2i therapy was associated with improved glycemic control in individuals with baseline HbA1c ≥ 8%, reduced albuminuria, and showed a favourable safety profile. These findings support SGLT2i as a potential therapeutic option that warrants confirmation in larger controlled studies.

Humans

Genetics first approach: Expanding the utility of genetic testing by nongeneticist physicians.

PURPOSE: The increasing demand for genetic testing and a global shortage of geneticists has significantly strained health care systems worldwide. This highlighted the need for new strategies aiming to increase testing accessibility, reduce wait times, and enhance patient care quality. METHODS: We implemented a 4-step program, "Genetics First," to empower nongeneticist physicians (NGPs) to play an active role in the process of genetic consultation and testing. The steps included (1) establishing criteria to identify suitable clinical domains, (2) selecting clinical indications within the domain through expert panel review, (3) designing tailored education and workflows for NGPs across indications, and (4) monitoring test outcomes and providing further support for complex cases. Test outcomes were compared between NGPs and clinical geneticists. RESULTS: Endocrinology was selected as the first domain, with 114 endocrinologists who completed the program. During the study, 260 gene panels were performed for monogenic diabetes, with NGPs initiating 68% of tests, leading to a 107% increase in referrals. The diagnostic yield was 30%, with no significant difference between NGP- and clinical geneticist-initiated tests. CONCLUSION: This study demonstrates the feasibility and impact of involving NGPs in genetic testing, offering a paradigm shift that could expand access to genetic testing and improve patients' care and clinical outcomes.

Humans

Progressive HNF1A-MODY pathophysiology revealed by a translational mouse model.

HNF1A-MODY, the most common monogenic diabetes, exhibits progressive β cell dysfunction, but existing mouse models fail to recapitulate human disease progression, limiting understanding of pathogenic mechanisms. We developed mice with heterozygous deletion of the Hnf1a transactivation domain (Hnf1a+/Δe4-10) to model human HNF1A haploinsufficiency, conducted cross-sectional metabolic characterization, and validated our findings in HNF1A-deficient human islets. Unlike previous models, Hnf1a+/Δe4-10 mice successfully recapitulated temporal HNF1A-MODY progression. Male mice developed sequential pathophysiology: early insulin resistance in young adults (7 weeks), followed by testosterone deficiency and fasting hyperglycemia in adult mice (10 weeks). Glucose intolerance emerged in middle-aged mice (30 weeks), progressing to multi-organ dysfunction in aged mice (44-70 weeks), characterized by elevated hepatic gluconeogenesis, impaired renal glucose handling, and hepatic steatosis/fibrosis. This dual pathophysiology involving β cell dysfunction and peripheral insulin resistance was associated with dysregulated hormone secretion from both α and β cells in aged mice (40-70 weeks). Human islet studies with HNF1A knockdown confirmed translational relevance, demonstrating reduced SGLT2 protein expression and inappropriate glucagon and insulin secretion. This work established a physiologically relevant HNF1A-MODY model, identified early insulin resistance as a key mechanism triggering hormonal dysfunction, and revealed HNF1A's role in multi-organ pathophysiology beyond traditional β cell dysfunction.

Animals

Monogenic ALB Variants as Determinants of Severe Hypercholesterolemia: A Population-Based Cohort Study.

BACKGROUND: Hypoalbuminemia is associated with several risk factors for myocardial infarction, including hypercholesterolemia, liver disease, kidney disease, and diabetes. Homozygosity of loss-of-function (LoF) variants in the ALB gene, which encodes albumin, is a known cause of congenital hypoalbuminemia. Studies have also shown that heterozygous ALB LoF variants are associated with increases in low-density lipoprotein cholesterol (LDL-C), comparable to those seen in familial hypercholesterolemia. OBJECTIVES: This study examined the effect of ALB LoF variants and other causes of low albumin on LDL-C levels in 2 population biobanks. METHODS: This study used data from 2 large cohorts with linked electronic health record and genetic information: Geisinger's MyCode Community Health Initiative, a health care population based in Pennsylvania, USA; and the National Institutes of Health All of Us Research Program, a nationwide epidemiologic cohort. LDL-C values were adjusted for lipid-lowering medication use. Myocardial infarction diagnoses were extracted from electronic health records using International Classification of Diseases codes. A polygenic score for serum albumin was calculated for participants of European ancestry. Linear regression models were used to estimate associations, and results were meta-analyzed across cohorts using fixed-effects models. RESULTS: Among 155,530 MyCode and 405,701 All of Us adult participants, 77 individuals (1 of 7,289) carried an ALB LoF variant. Among noncarriers, a 1 g/dL decrease in serum albumin was associated with a 10.9 mg/dL (95% CI:, 10.4-11.4) decrease in LDL-C. In contrast, ALB LoF variants were associated with a 0.69 g/dL (95% CI: 0.60-0.78) reduction in serum albumin and a 38.3 mg/dL (95% CI: 28.2-48.5) increase in LDL-C. Paradoxically, whereas monogenic determinants of hypoalbuminemia were associated with increased LDL-C, polygenic determinants of lower albumin were associated with a 0.22 mg/dL (95% CI: 0.17-0.26) decrease in LDL-C per decile. CONCLUSIONS: ALB LoF variants represent a previously underrecognized monogenic cause of elevated LDL-C, with effect sizes slightly less than canonical familial hypercholesterolemia variants. The divergent effects of ALB-mediated vs polygenic or physiological reductions in albumin on LDL-C suggest distinct underlying mechanisms.

Humans

Pharmacogenetics of tolbutamide metabolism in humans.

This study was designed to focus on the genetic control of tolbutamide dispositon in humans and to provide insight into the potential for high accrued blood levels in individuals receiving fixed dosage regimens. Tolbutamide was administered intravenously to 42 nondiabetic subjects, eight of their relatives, and to five sets of twins. A ninefold variation in the rate of tolbutamide disappearance from plasms (Kd) was found. This variation was characterized by a trimodal frequency distribution, suggestive of monogenic inheritance and consistent with pedigree analysis, indicating autosomal transmission of rapid and slow inactivation of tolbutamide. A heritability value of 0.995 for Kd indicated little influence of environmental factors on variation of this rate. Interindividual differences in the binding of 35S-tolbutamide to serum proteins were also assessed. No correlation was found between tolbutamide serum protein binding affinity and Kd. Analysis of the metabolites of tolbutamide in urine samples provided evidence for the microsomal oxidation of the drug to hydroxytolbutamide as the primary site of genetic control. In conclusion, this study provides evidence for monogenic control of tolbutamide metabolism in man. The results suggest that fixed dosage regimens of this drug, as were prescribed in the controversial University Group Diabetes Program study, might lead to higher accrued blood levels in slow inactivators.

Adolescent

Tolbutamide pharmacogenetics and the UGDP controversy.

We analyzed the relationship between the pharmacogenetics of tolbutamide metabolism and the controversial University Group Diabetes Program (UGDP) study. Before the institution of that study, the extent of genetic control over the variation in the rate of tolbutamide metabolism was unknown, and all subjects included in the tolbutamide treatment group were given 1,500 mg/day of tolbutamide in a fixed dosage. We addressed the hypothesis that high accrued blood levels of tolbutamide in genetically predisposed slow inactivators might have contributed to the toxic effects reported by the UGDP study. This proposal is based on recent findings from population, twin, and family studies that tolbutamide metabolism is under monogenic control, with nearly one fourth of the population classified as slow inactivators.

Alleles

A novel deep intronic EIF2AK3 variant disrupts splicing and causes Wolcott-Rallison syndrome.

AIM: Deep intronic variants can disrupt splicing and cause monogenic disease but are missed by routine genetic testing. This study assessed the contribution of deep intronic variants to Wolcott-Rallison syndrome (WRS), a recessive disorder characterized by early-onset diabetes and progressive multisystem disease caused by loss-of-function EIF2AK3 variants. METHODS: We investigated a cohort of 116 individuals referred to the Exeter Genomics Laboratory for genetic testing who had diabetes diagnosed at ≤2 years and at least one additional feature consistent with WRS: hepatic dysfunction, skeletal abnormalities or developmental delay. No genetic cause had been identified after testing all known early-onset diabetes genes. We screened genome-sequencing data for rare homozygous intronic EIF2AK3 variants. Candidate variants predicted to affect splicing by SpliceAI were assessed using a minigene exon-trapping assay. RESULTS: We identified two rare homozygous intronic EIF2AK3 variants in two siblings. Only one variant, c.1651-180G>T, was predicted to disrupt splicing in silico. The two children, born to consanguineous parents, were diagnosed with early-onset diabetes (diagnosed at 1 year and 21 weeks), hepatic dysfunction, skeletal abnormalities, developmental delay, thyroid dysfunction, hip dysplasia and gait abnormalities. The minigene assay showed that c.1651-180G>T creates a cryptic donor splice site within intron 9, resulting in inclusion of a 79-nucleotide pseudoexon, causing a frameshift and premature stop codon. Using this evidence, the variant was reclassified as likely pathogenic according to ACMG/ACGS guidelines. CONCLUSIONS: We report the first deep intronic EIF2AK3 variant causing WRS, highlighting the need to consider systematic intronic analysis in unresolved cases.

EIF2AK3