Precision medicine in diabetes: A non-invasive prenatal diagnostic test for the determination of fetal glucokinase mutations.

J Diabetes Investig

Pediatric Endocrine and Diabetes Unit, Department of Pediatrics, Obstetrics and Gynecology, University Hospitals of Geneva, Geneva, Switzerland.

Published: February 2022

Hyperglycemia caused by mutations in the glucokinase gene, GCK, is the most common form of monogenic diabetes. Prenatal diagnosis is important, as it impacts on treatment. This study reports a monogenic non-invasive prenatal diagnostic (NIPD-M) test on cell-free DNA in maternal plasma using the relative haplotype dosage. In three pregnancies of two families with known maternal GCK mutations, the fetal genotype was determined unambiguously already at 12 weeks of gestation. In summary, proof is provided of the feasibility for NIPD-M in GCK diabetes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847152PMC
http://dx.doi.org/10.1111/jdi.13656DOI Listing

Publication Analysis

Top Keywords

non-invasive prenatal
8
prenatal diagnostic
8
precision medicine
4
medicine diabetes
4
diabetes non-invasive
4
diagnostic test
4
test determination
4
determination fetal
4
fetal glucokinase
4
glucokinase mutations
4

Similar Publications

Protocol for genetic analysis of population-scale ultra-low-depth sequencing data.

STAR Protoc

January 2025

BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen 518083, China. Electronic address:

Non-invasive prenatal testing (NIPT) not only enables the detection of chromosomal anomalies in fetuses but also generates vast amounts of ultra-low-depth sequencing data, which can be leveraged for population genomic studies. Here, we present a protocol designed for massive ultra-low-depth sequencing datasets. We detail the steps for data processing, quality control, and genotype imputation, followed by genome-wide association study (GWAS) and post-GWAS analyses.

View Article and Find Full Text PDF

Australian Preferences for Prenatal Screening: A Discrete Choice Experiment Comparing Metropolitan and Rural/Regional Areas.

Appl Health Econ Health Policy

January 2025

Menzies Centre for Health Policy and Economics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.

Background: Non-invasive prenatal testing has the potential to be a useful genetic screening tool in Australia. However, concerns have been raised about its cost, commercial provision, the psychological impacts of the screening process, and disparities in access experienced by rural and regional communities.

Aims: The aims of this study are (1) to estimate Australian preferences for features of prenatal screening; (2) to explore potential variations in preferences between metropolitan and rural/regional communities; (3) to estimate the extent to which respondents are willing to trade-off between attributes, using willingness to pay (WTP) and willingness to wait estimates.

View Article and Find Full Text PDF

Background: Overweight and obesity are global issues, especially among women of childbearing age, linked to adverse maternal and neonatal outcomes. These risks vary by age, race, and ethnicity, with increasing rates among immigrant and minority women. This study compares overweight and obesity rates, pregnancy weight gain, and neonatal outcomes in Turkish and Syrian immigrant/refugee women.

View Article and Find Full Text PDF

Background: The prevalence of obesity and type 2 diabetes mellitus (T2DM) is rising globally, particularly among children exposed to adverse intrauterine environments, such as those associated with gestational diabetes mellitus (GDM). Epigenetic modifications, specifically DNA methylation, have emerged as mechanisms by which early environmental exposures can predispose offspring to metabolic diseases. This study aimed to investigate DNA methylation differences in children born to mothers with GDM compared to non-GDM mothers, using saliva samples, and to assess the association of these epigenetic patterns with early growth measurements.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!