Publications by authors named "Emmanuelle Genin"

Article Synopsis
  • PCSK9 is crucial for regulating LDL-cholesterol and certain variants, like p.Ser127Arg, lead to higher cholesterol levels and are mainly found in France, with few in South Africa and Norway due to a common ancestor effect.
  • The study analyzed 14 p.Ser127Arg carriers from eight families and compared them with other variants to understand their genetic background and health impact.
  • Results indicated that the common ancestor lived about 775 years ago, and carriers of p.Ser127Arg had significantly higher LDL-C levels, suggesting it may have a stronger effect on cholesterol levels compared to other mutations.
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The identification of a point mutation (p.Ser59Leu) in the CHCHD10 gene was the first genetic evidence that mitochondrial dysfunction can trigger motor neuron disease. Since then, we have shown that this mutation leads to the disorganization of the MItochondrial contact site and Cristae Organizing System (MICOS) complex that maintains the mitochondrial cristae structure.

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  • The introduction of Next-Generation Sequencing has advanced rare disease diagnostics, yet many cases still lack a molecular diagnosis due to the complexity of these diseases.
  • The new PSAP-genomic-regions method expands on the original PSAP approach by focusing on non-coding genomic regions, allowing for a more comprehensive evaluation of variants.
  • Preliminary results demonstrate that PSAP-genomic-regions effectively prioritizes significant non-coding variants, offering a valuable tool for diagnosing unresolved rare diseases, as evidenced by its success in patient data.
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  • The study investigates the demographic history of France using genotype datasets from individuals in Northern France, revealing significant population structure and differentiation in regions like Brittany and the Loire basin.
  • The research highlights a connection between the ancestry of local populations and genetic variations, particularly indicating a distinction in shared ancestry related to Neolithic and steppe populations.
  • Findings suggest the necessity of studying local demographics to better comprehend the distribution of genetic variants and their role in the prevalence of diseases among populations in Brittany and neighboring areas.
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In this study, we explore the landscape of short tandem repeats (STRs) within the human genome through the lens of evolving technologies to detect genomic variations. STRs, which encompass approximately 3% of our genomic DNA, are crucial for understanding human genetic diversity, disease mechanisms, and evolutionary biology. The advent of high-throughput sequencing methods has revolutionized our ability to accurately map and analyze STRs, highlighting their significance in genetic disorders, forensic science, and population genetics.

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CHCHD10-related disease causes a spectrum of clinical presentations including mitochondrial myopathy, cardiomyopathy, amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). We generated a knock-in mouse model bearing the p.Ser59Leu (S59L) CHCHD10 variant.

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Background: Single-nucleotide variants (SNVs) within gene coding sequences can significantly impact pre-mRNA splicing, bearing profound implications for pathogenic mechanisms and precision medicine. In this study, we aim to harness the well-established full-length gene splicing assay (FLGSA) in conjunction with SpliceAI to prospectively interpret the splicing effects of all potential coding SNVs within the four-exon SPINK1 gene, a gene associated with chronic pancreatitis.

Results: Our study began with a retrospective analysis of 27 SPINK1 coding SNVs previously assessed using FLGSA, proceeded with a prospective analysis of 35 new FLGSA-tested SPINK1 coding SNVs, followed by data extrapolation, and ended with further validation.

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Imputation servers offer the exclusive possibility to harness the largest public reference panels which have been shown to deliver very high precision in the imputation of European genomes. Many studies have nonetheless stressed the importance of 'study specific panels' (SSPs) as an alternative and have shown the benefits of combining public reference panels with SSPs. But such combined approaches are not attainable when using external imputation servers.

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Mitochondrial dysfunction occurs in numerous neurodegenerative diseases, particularly amyotrophic lateral sclerosis (ALS), where it contributes to motor neuron (MN) death. Of all the factors involved in ALS, mitochondria have been considered as a major player, as secondary mitochondrial dysfunction has been found in various models and patients. Abnormal mitochondrial morphology, defects in mitochondrial dynamics, altered activities of respiratory chain enzymes and increased production of reactive oxygen species have been described.

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Article Synopsis
  • PRSS1 is a gene linked to chronic pancreatitis, and its variants can be difficult to classify due to differences in their effects on the enzyme's function.
  • The study analyzed 100 variants of the PRSS1 gene, categorizing them based on genetic impact and clinical significance using a new classification system.
  • Findings indicate that many PRSS1 variants can be classified as pathogenic, likely pathogenic, or benign, which could help improve how these variants are reported in medical databases.
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Bardet-Biedl syndrome (BBS) is an autosomal recessive ciliopathy that affects multiple organs, leading to retinitis pigmentosa, polydactyly, obesity, renal anomalies, cognitive impairment, and hypogonadism. Until now, biallelic pathogenic variants have been identified in at least 24 genes delineating the genetic heterogeneity of BBS. Among those, is a minor contributor to the mutation load and is one of the eight subunits forming the BBSome, a protein complex implied in protein trafficking within the cilia.

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Current software packages for the analysis and the simulations of rare variants are only available for binary and continuous traits. Ravages provides solutions in a single R package to perform rare variant association tests for multicategory, binary and continuous phenotypes, to simulate datasets under different scenarios and to compute statistical power. Association tests can be run in the whole genome thanks to C++ implementation of most of the functions, using either RAVA-FIRST, a recently developed strategy to filter and analyse genome-wide rare variants, or user-defined candidate regions.

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Genotype imputation is widely used to enrich genetic datasets. The operation relies on panels of known reference haplotypes, typically with whole-genome sequencing data. How to choose a reference panel has been widely studied and it is essential to have a panel that is well matched to the individuals who require missing genotype imputation.

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Cancer genetics has to date focused on epithelial malignancies, identifying multiple histotype-specific pathways underlying cancer susceptibility. Sarcomas are rare malignancies predominantly derived from embryonic mesoderm. To identify pathways specific to mesenchymal cancers, we performed whole-genome germline sequencing on 1644 sporadic cases and 3205 matched healthy elderly controls.

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Alzheimer's disease (AD), the leading cause of dementia, has an estimated heritability of approximately 70%. The genetic component of AD has been mainly assessed using genome-wide association studies, which do not capture the risk contributed by rare variants. Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals-16,036 AD cases and 16,522 controls.

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Rare variant association tests (RVAT) have been developed to study the contribution of rare variants widely accessible through high-throughput sequencing technologies. RVAT require to aggregate rare variants in testing units and to filter variants to retain only the most likely causal ones. In the exome, genes are natural testing units and variants are usually filtered based on their functional consequences.

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Polygenic risk scores (PRSs) are being constructed for many diseases and are presented today as a promising avenue in the field of human genetics. These scores aim at predicting the risk of developing a disease by leveraging the many genome-wide association studies (GWAS) conducted during the two last decades. Important investments are being made to improve score estimates by increasing GWAS sample sizes, by developing more sophisticated methods, and by proposing different corrections for potential biases.

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Article Synopsis
  • - The ACMG classification of genetic variants is limited by its binary approach, focusing primarily on Mendelian diseases, which doesn't fully capture the complexity of genetic effects and clinical phenotypes in different diseases.
  • - In this study, chronic pancreatitis (CP) is used as a model to illustrate the need for a more nuanced classification system, introducing categories like "predisposing" and "likely predisposing" to better categorize genetic variants and their roles in disease causation.
  • - The proposed framework aims to enhance the ACMG guidelines by incorporating the continuum of genetic effects and refining the classification based on specific gene functions related to CP, helping to distinguish between "pathogenic" and "predisposing" variants effectively.
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Arrhythmogenic cardiomyopathy with right dominant form (ACR) is a rare heritable cardiac cardiomyopathy disorder associated with sudden cardiac death. Pathogenic variants (PVs) in desmosomal genes have been causally related to ACR in 40% of cases. Other genes encoding nondesmosomal proteins have been described in ACR, but their contribution in this pathology is still debated.

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CHCHD10 is an amyotrophic lateral sclerosis/frontotemporal dementia gene that encodes a mitochondrial protein whose precise function is unclear. Here we show that Coiled-Coil-Helix-Coiled-Coil-Helix Domain Containing protein 10 interacts with the Stomatin-Like Protein 2 and participates in the stability of the prohibitin complex in the inner mitochondrial membrane. By using patient fibroblasts and mouse models expressing the same CHCHD10 variant (p.

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Next-generation sequencing technologies have opened up the possibility to sequence large samples of cases and controls to test for association with rare variants. To limit cost and increase sample sizes, data from controls could be used in multiple studies and might thus be generated on different sequencing platforms. This could pose some problems of comparability between cases and controls due to batch effects that could be confounding factors, leading to false-positive association signals.

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In this paper, we explain the concept of heritability and describe the different methods and the genotype-phenotype correspondences used to estimate heritability in the specific field of human genetics. Heritability studies are conducted on extremely diverse human traits: quantitative traits (physical, biological, but also cognitive and behavioral measurements) and binary traits (as is the case of most human diseases). Instead of variables such as education and socio-economic status as covariates in genetic studies, they are now the direct object of genetic analysis.

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Article Synopsis
  • The study investigates TRPV6 as a gene linked to chronic pancreatitis (CP) and finds it associated with calcium (Ca) dysregulation.
  • Researchers analyzed TRPV6 in various CP patient groups, identifying 25 rare TRPV6 variants, with 18 being newly reported.
  • The analysis indicates that functionally deficient TRPV6 variants are more common in hereditary and familial CP, often co-occurring with other known risk genes, and highlight their significant role in the disease.
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In cystic fibrosis (CF), p.Phe508del is the most frequent mutation in the Cystic Fibrosis Transmembrane conductance Regulator () gene. The p.

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