Publications by authors named "Mathilde Boissel"

Objectives: The main objective of the study was to evaluate the kinetics of tophus volume measured with dual-energy CT (DECT) and ultrasound (US) in patients with gout during their first 24months of treat-to-target (T2T) urate-lowering therapy.

Methods: This was a prospective, multicenter, 24-month longitudinal pilot study including ULT-naïve patients with gout and US tophi. Clinical visits, and DECT and US scans of the knees and feet were performed at baseline, 6, 12 and 24months.

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Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in GWAS. Using childhood BMI as an example trait, we included 71,336 participants from six cohorts and estimated the slope and area under the BMI curve within four time periods (infancy, early childhood, late childhood and adolescence) for each participant, in addition to the age and BMI at the adiposity peak and the adiposity rebound.

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We postulated that type 2 diabetes (T2D) predisposes patients to exocrine pancreatic diseases through (epi)genetic mechanisms. We explored the methylome (using MethylationEPIC arrays) of the exocrine pancreas in 141 donors, assessing the impact of T2D. An epigenome-wide association study of T2D identified hypermethylation in an enhancer of the pancreatic lipase-related protein 1 (PNLIPRP1) gene, associated with decreased PNLIPRP1 expression.

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Functional genetics has identified drug targets for metabolic disorders. Opioid use impacts metabolic homeostasis, although mechanisms remain elusive. Here, we explore the OPRD1 gene (encoding delta opioid receptor, DOP) to understand its impact on type 2 diabetes.

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Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in genome-wide association studies (GWASs). Using childhood body mass index (BMI) as an example, we included 71,336 participants from six cohorts and estimated the slope and area under the BMI curve within four time periods (infancy, early childhood, late childhood and adolescence) for each participant, in addition to the age and BMI at the adiposity peak and the adiposity rebound.

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Objective: Rare variants in DYRK1B have been described in some patients with central obesity, type 2 diabetes, and early-onset coronary disease. Owing to the limited number of conducted studies, the broader impact of DYRK1B variants on a larger scale has yet to be investigated.

Research Design And Methods: DYRK1B was sequenced in 9,353 participants from a case-control study for obesity and type 2 diabetes.

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Objective: Human functional genomics has proven powerful in discovering drug targets for common metabolic disorders. Through this approach, we investigated the involvement of the purinergic receptor P2RY1 in type 2 diabetes (T2D).

Methods: P2RY1 was sequenced in 9,266 participants including 4,177 patients with T2D.

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Aims/hypothesis: GLIS3 encodes a transcription factor involved in pancreatic beta cell development and function. Rare pathogenic, bi-allelic mutations in GLIS3 cause syndromic neonatal diabetes whereas frequent SNPs at this locus associate with common type 2 diabetes risk. Because rare, functional variants located in other susceptibility genes for type 2 diabetes have already been shown to strongly increase individual risk for common type 2 diabetes, we aimed to investigate the contribution of rare pathogenic GLIS3 variants to type 2 diabetes.

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Article Synopsis
  • Educational attainment is linked to cardiovascular health, and a large genomic study examined how it interacts with cholesterol and triglyceride levels in nearly 226,315 individuals across five population groups.
  • The study identified 18 new genetic variations related to lipid levels—nine for low-density lipoprotein (LDL), seven for high-density lipoprotein (HDL), and two for triglycerides (TG)—some of which interact with educational attainment.
  • Researchers also found five gene targets that potentially interact with FDA-approved drugs, suggesting a connection between genetics and drug responses related to lipid metabolism and overall health.
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  • GLP1R is an important target for medications used in treating type 2 diabetes and obesity, but its genetic variability affects receptor function and metabolic traits in complex ways.
  • A study analyzed 60 GLP1R variants and found a range of effects, from loss of function to enhanced signaling, revealing that some variants lead to defective insulin secretion, which can be improved using specific ligands or drugs.
  • Research involving 200,000 participants links poor GLP1R expression to worse glucose control and higher body weight, suggesting that impaired GLP1R function is a risk factor for type 2 diabetes and obesity, with new treatment options for affected individuals being explored.
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Objective: Depression is a common comorbidity of type 2 diabetes. We assessed the causal relationships and shared genetics between them.

Research Design And Methods: We applied two-sample, bidirectional Mendelian randomization (MR) to assess causality between type 2 diabetes and depression.

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Purpose: Recessive deficiency of proopiomelanocortin (POMC) causes childhood-onset severe obesity. Cases can now benefit from the melanocortin 4 receptor agonist setmelanotide. Furthermore, a phase 3 clinical trial is evaluating setmelanotide in heterozygotes for POMC.

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We previously demonstrated that 50% of children with obesity from consanguineous families from Pakistan carry pathogenic variants in known monogenic obesity genes. Here, we have discovered a novel monogenetic recessive form of severe childhood obesity using an in-house computational staged approach. The analysis included whole-exome sequencing data of 366 children with severe obesity, 1,000 individuals of the Pakistan Risk of Myocardial Infarction Study (PROMIS) study, and 200,000 participants of the UK Biobank to prioritize genes harboring rare homozygous variants with putative effect on human obesity.

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Background: Rare biallelic pathogenic mutations in PCSK1 (encoding proprotein convertase subtilisin/kexin type 1 [PC1/3]) cause early-onset obesity associated with various endocrinopathies. Setmelanotide has been approved for carriers of these biallelic mutations in the past 3 years. We aimed to perform a large-scale functional genomic study focusing on rare heterozygous variants of PCSK1 to decipher their putative impact on obesity risk.

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Recent advances in genetic analysis have significantly helped in progressively attenuating the heritability gap of obesity and have brought into focus monogenic variants that disrupt the melanocortin signaling. In a previous study, next-generation sequencing revealed a monogenic etiology in ∼50% of the children with severe obesity from a consanguineous population in Pakistan. Here we assess rare variants in obesity-causing genes in young adults with severe obesity from the same region.

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Melatonin is a hormone mainly produced by the pineal gland and MT is one of the two G protein-coupled receptors (GPCRs) mediating its action. Despite an increasing number of available GPCR crystal structures, the molecular mechanism of activation of a large number of receptors, including MT, remains poorly understood. The purpose of this study is to elucidate the structural elements involved in the process of MT's activation using naturally occurring variants affecting its function.

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Background: Diagnosis of monogenic diabetes has important clinical implications for treatment and health expenditure. However, its prevalence remains to be specified in many countries, particularly from South Europe, North Africa and Middle-East, where non-autoimmune diabetes in young adults is increasing dramatically.

Aims: To identify cases of monogenic diabetes in young adults from Mediterranean countries and assess the specificities between countries.

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Genome-wide association studies have identified 240 independent loci associated with type 2 diabetes (T2D) risk, but this knowledge has not advanced precision medicine. In contrast, the genetic diagnosis of monogenic forms of diabetes (including maturity-onset diabetes of the young (MODY)) are textbook cases of genomic medicine. Recent studies trying to bridge the gap between monogenic diabetes and T2D have been inconclusive.

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Article Synopsis
  • Educational attainment serves as a proxy for socioeconomic status (SES), which is linked to increased risks of hypertension and high blood pressure (BP).
  • The study focused on exploring genetic factors influencing BP by examining how education levels (specifically "Some College" and "Graduated College") interact with genetics, using large-scale multi-ancestry analyses to identify both known and new genetic loci associated with BP.
  • From two phases of research involving over 400,000 participants, the study discovered 84 previously recognized and 18 new genetic loci related to BP, particularly noting the importance of SES and educational attainment in understanding genetic influences on BP regulation.
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Most genome-wide association studies used genetic-model-based tests assuming an additive mode of inheritance, leading to underpowered association tests in case of departure from additivity. The general regression model (GRM) association test proposed by Fisher and Wilson in 1980 makes no assumption on the genetic model. Interestingly, it also allows formal testing of the underlying genetic model.

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The G-protein-coupled receptor accessory protein MRAP2 is implicated in energy control in rodents, notably via the melanocortin-4 receptor. Although some MRAP2 mutations have been described in people with obesity, their functional consequences on adiposity remain elusive. Using large-scale sequencing of MRAP2 in 9,418 people, we identified 23 rare heterozygous variants associated with increased obesity risk in both adults and children.

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Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178).

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Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2.

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Article Synopsis
  • Smoking affects levels of good and bad cholesterol and fat in the blood, but we don't know if genetics play a role in how smoking influences these levels.
  • Researchers studied a lot of people (over 133,000) to see if genes and smoking together affect cholesterol and triglycerides, finding 13 new gene locations related to these fats.
  • It's important to include different groups of people in research, especially when looking at how lifestyle choices like smoking interact with genes, to discover new things.
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A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups.

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