8 results on '"Laurent C. Francioli"'
Search Results
2. Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
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Nicola Whiffin, Konrad J. Karczewski, Xiaolei Zhang, Sonia Chothani, Miriam J. Smith, D. Gareth Evans, Angharad M. Roberts, Nicholas M. Quaife, Sebastian Schafer, Owen Rackham, Jessica Alföldi, Anne H. O’Donnell-Luria, Laurent C. Francioli, Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Stuart A. Cook, Paul J. R. Barton, Daniel G. MacArthur, and James S. Ware
- Subjects
Science - Abstract
Upstream open reading frames (uORFs), located in 5’ untranslated regions, are regulators of downstream protein translation. Here, Whiffin et al. use the genomes of 15,708 individuals in the Genome Aggregation Database (gnomAD) to systematically assess the deleteriousness of variants creating or disrupting uORFs.
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- 2020
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3. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants
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Jayne Y. Hehir-Kwa, Tobias Marschall, Wigard P. Kloosterman, Laurent C. Francioli, Jasmijn A. Baaijens, Louis J. Dijkstra, Abdel Abdellaoui, Vyacheslav Koval, Djie Tjwan Thung, René Wardenaar, Ivo Renkens, Bradley P. Coe, Patrick Deelen, Joep de Ligt, Eric-Wubbo Lameijer, Freerk van Dijk, Fereydoun Hormozdiari, The Genome of the Netherlands Consortium, André G. Uitterlinden, Cornelia M. van Duijn, Evan E. Eichler, Paul I. W. de Bakker, Morris A. Swertz, Cisca Wijmenga, Gert-Jan B. van Ommen, P. Eline Slagboom, Dorret I. Boomsma, Alexander Schönhuth, Kai Ye, and Victor Guryev
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Science - Abstract
Structural variants (SVs) are prevalent in genomes of the general population. Here, Guryev and The Genome of the Netherlands Consortium describe the reference panel of haplotype-resolved SVs from 769 individuals from 250 Dutch families and show its utility for studying heritable traits.
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- 2016
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4. Author Correction: Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
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Nicola Whiffin, Konrad J. Karczewski, Xiaolei Zhang, Sonia Chothani, Miriam J. Smith, D. Gareth Evans, Angharad M. Roberts, Nicholas M. Quaife, Sebastian Schafer, Owen Rackham, Jessica Alföldi, Anne H. O’Donnell-Luria, Laurent C. Francioli, Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Stuart A. Cook, Paul J. R. Barton, Daniel G. MacArthur, and James S. Ware
- Subjects
Science - Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-21052-3
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- 2021
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5. Author Correction: Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes
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Qingbo Wang, Emma Pierce-Hoffman, Beryl B. Cummings, Jessica Alföldi, Laurent C. Francioli, Laura D. Gauthier, Andrew J. Hill, Anne H. O’Donnell-Luria, Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Konrad J. Karczewski, and Daniel G. MacArthur
- Subjects
Science - Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-21077-8.
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- 2021
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6. Disparities in discovery of pathogenic variants for autosomal recessive non-syndromic hearing impairment by ancestry
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Isabelle Schrauwen, Suzanne M. Leal, Regie Lyn P. Santos-Cortez, Laurent C. Francioli, Zhihui Zhang, Imen Chakchouk, and Di Zhang
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Population ,Genes, Recessive ,Deafness ,Biology ,Article ,Gene Frequency ,Genetic variation ,otorhinolaryngologic diseases ,Genetics ,Humans ,Genetic Predisposition to Disease ,Allele ,Hearing Loss ,education ,Gene ,Allele frequency ,Alleles ,Genetic Association Studies ,Genetics (clinical) ,education.field_of_study ,Genetic heterogeneity ,Chromosome Mapping ,Genetic Variation ,Ashkenazi jews ,Etiology - Abstract
Hearing impairment (HI) is characterized by extensive genetic heterogeneity. To determine the population-specific contribution of known autosomal recessive nonsyndromic (ARNS)HI genes and variants to HI etiology; pathogenic and likely pathogenic (PLP) ARNSHI variants were selected from ClinVar and the Deafness Variation Database and their frequencies were obtained from gnomAD for seven populations. ARNSHI prevalence due to PLP variants varies greatly by population ranging from 96.9 affected per 100,000 individuals for Ashkenazi Jews to 5.2 affected per 100,000 individuals for Africans/African Americans. For Europeans, Finns have the lowest prevalence due to ARNSHI PLP variants with 9.5 affected per 100,000 individuals. For East Asians, Latinos, non-Finish Europeans, and South Asians, ARNSHI prevalence due to PLP variants ranges from 17.1 to 33.7 affected per 100,000 individuals. ARNSHI variants that were previously reported in a single ancestry or family were observed in additional populations, e.g., USH1C p.(Q723*) reported in a Chinese family was the most prevalent pathogenic variant observed in gnomAD for African/African Americans. Variability between populations is due to how extensively ARNSHI has been studied, ARNSHI prevalence and ancestry specific ARNSHI variant architecture which is impacted by population history. Our study demonstrates that additional gene and variant discovery studies are necessary for all populations and particularly for individuals of African ancestry.
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- 2019
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7. Deleterious alleles in the human genome are on average younger than neutral alleles of the same frequency.
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Adam Kiezun, Sara L Pulit, Laurent C Francioli, Freerk van Dijk, Morris Swertz, Dorret I Boomsma, Cornelia M van Duijn, P Eline Slagboom, G J B van Ommen, Cisca Wijmenga, Genome of the Netherlands Consortium, Paul I W de Bakker, and Shamil R Sunyaev
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Genetics ,QH426-470 - Abstract
Large-scale population sequencing studies provide a complete picture of human genetic variation within the studied populations. A key challenge is to identify, among the myriad alleles, those variants that have an effect on molecular function, phenotypes, and reproductive fitness. Most non-neutral variation consists of deleterious alleles segregating at low population frequency due to incessant mutation. To date, studies characterizing selection against deleterious alleles have been based on allele frequency (testing for a relative excess of rare alleles) or ratio of polymorphism to divergence (testing for a relative increase in the number of polymorphic alleles). Here, starting from Maruyama's theoretical prediction (Maruyama T (1974), Am J Hum Genet USA 6:669-673) that a (slightly) deleterious allele is, on average, younger than a neutral allele segregating at the same frequency, we devised an approach to characterize selection based on allelic age. Unlike existing methods, it compares sets of neutral and deleterious sequence variants at the same allele frequency. When applied to human sequence data from the Genome of the Netherlands Project, our approach distinguishes low-frequency coding non-synonymous variants from synonymous and non-coding variants at the same allele frequency and discriminates between sets of variants independently predicted to be benign or damaging for protein structure and function. The results confirm the abundance of slightly deleterious coding variation in humans.
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- 2013
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8. The Genome of the Netherlands: design, and project goals
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Elisabeth M. van Leeuwen, Jeroen F. J. Laros, Clara C. Elbers, Alexandros Kanterakis, Jessica van Setten, Cisca Wijmenga, Gonneke Willemsen, Vyacheslav Koval, Qibin Li, Sujie Cao, Jouke-Jan Hottenga, Jayne Y. Hehir-Kwa, Laurent C. Francioli, Kai Ye, Jeanine J. Houwing-Duistermaat, Morris A. Swertz, David van Enckevort, Sara L. Pulit, Karol Estrada, Hailiang Mai, Marian Beekman, Anton J. M. de Craen, Gert-Jan B. van Ommen, Ben A. Oostra, Androniki Menelaou, Hongzhi Cao, Martijn Dijkstra, Mathijs Kattenberg, Abdel Abdellaoui, Yingrui Li, Albert Hofman, Cornelia M. van Duijn, Martijn Vermaat, Eline Slagboom, Lennart C. Karssen, Johan T. den Dunnen, Freerk van Dijk, Fernanodo Rivadeneira, Dorret I. Boomsma, Ruoyan Chen, Patrick Deelen, Paul I.W. de Bakker, Peter de Knijff, Bruce H. R. Wolffenbuttel, Ning Li, Heorhiy Byelas, Victor Guryev, Yuanping Du, Pieter B. Neerincx, André G. Uitterlinden, Jun Wang, H. Eka D. Suchiman, Epidemiology, Dermatology, Molecular Genetics, Internal Medicine, Clinical Genetics, Biological Psychology, EMGO+ - Mental Health, Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Lifestyle Medicine (LM), Groningen Research Institute for Asthma and COPD (GRIAC), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Adult Psychiatry
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Adult ,Male ,Netherlands Twin Register (NTR) ,TWIN ,Population genetics ,Computational biology ,Human genetic variation ,Biology ,whole-genome sequence ,Genome ,DISEASE ,Article ,COMMON SNPS ,Young Adult ,Gene Frequency ,Databases, Genetic ,Genetic variation ,Genetics ,WIDE ASSOCIATION ,Humans ,Genetics (clinical) ,SUSCEPTIBILITY VARIANTS ,Aged ,Netherlands ,Genetic association ,RISK ,Aged, 80 and over ,HERITABILITY ,MUTATIONS ,Genome, Human ,Haplotype ,Genetic Variation ,High-Throughput Nucleotide Sequencing ,population genetics ,Sequence Analysis, DNA ,Middle Aged ,Biobank ,FAMILY ,Phylogeography ,Female ,Imputation (genetics) ,trio-design - Abstract
Within the Netherlands a national network of biobanks has been established (Biobanking and Biomolecular Research Infrastructure-Netherlands (BBMRI-NL)) as a national node of the European BBMRI. One of the aims of BBMRI-NL is to enrich biobanks with different types of molecular and phenotype data. Here, we describe the Genome of the Netherlands (GoNL), one of the projects within BBMRI-NL. GoNL is a whole-genome-sequencing project in a representative sample consisting of 250 trio-families from all provinces in the Netherlands, which aims to characterize DNA sequence variation in the Dutch population. The parent-offspring trios include adult individuals ranging in age from 19 to 87 years (mean=53 years; SD=16 years) from birth cohorts 1910-1994. Sequencing was done on blood-derived DNA from uncultured cells and accomplished coverage was 14-15x. The family-based design represents a unique resource to assess the frequency of regional variants, accurately reconstruct haplotypes by family-based phasing, characterize short indels and complex structural variants, and establish the rate of de novo mutational events. GoNL will also serve as a reference panel for imputation in the available genome-wide association studies in Dutch and other cohorts to refine association signals and uncover population-specific variants. GoNL will create a catalog of human genetic variation in this sample that is uniquely characterized with respect to micro-geographic location and a wide range of phenotypes. The resource will be made available to the research and medical community to guide the interpretation of sequencing projects. The present paper summarizes the global characteristics of the project. © 2014 Macmillan Publishers Limited All rights reserved.
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- 2014
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