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Your search keyword '"Pulit, S.L."' showing total 3 results
Start Over Author "Pulit, S.L." Topic 0302 clinical medicine
3 results on '"Pulit, S.L."'

1. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

Author

Nersisyan, Lilit, Nikoghosyan, Maria, Arakelyan, Arsen, Francioli, Laurent, Menelaou, A. (Androniki), Pulit, S.L. (Sara L.), Elbers, C.C. (Clara C.), Kloosterman, Wigard, van Setten, J. (Jessica), Nijman, Isaac, Renkens, Ivo, de Bakker, P.I.W. (Paul I. W.), Dijk, Freerk, Neerincx, Pieter, Deelen, Patrick, Kanterakis, Alexandros, Dijkstra, Martijn, Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, Mathieu, Swertz, M.A. (Morris A.), Wijmenga, Cisca, Palamara, P.F. (Pier Francesco), Pe’er, I. (Itsik), Ye, K. (Kai), Lameijer, Eric-Wubbo, Moed, M.H. (Matthijs H.), Beekman, M. (Marian), Craen, Anton, Suchiman, H.E.D. (H. Eka D.), Slagboom, Eline, Guryev, Victor, Abdellaoui, Abdel, Jan Hottenga, J. (Jouke), Kattenberg, M. (Mathijs), Willemsen, Gonneke, Boomsma, Dorret, van Leeuwen, E.M. (Elisabeth M.), Karssen, Lennart, Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A. (Aaron), Hofman, A. (Albert), Uitterlinden, André, Duijn, Cornelia, van Oven, M. (Mannis), Kayser, M. (Manfred), Vermaat, Martijn, Laros, Jeroen, Dunnen, Johan, Enckevort, David, Mei, Hailiang, Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, Barbera, Bot, Jan, Marschall, Tobias, Schönhuth, Alexander, Hehir-Kwa, Jayne, Handsaker, Robert, Polak, P. (Paz), Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada, Karol, McCarroll, S.A. (Steven A.), Sunyaev, S.R. (Shamil R.), Hormozdiari, Fereydoun, Koval, Vyacheslav, Medina-Gomez, C. (Carolina), Oostra, B. (Ben), Veldink, Jan, van den Berg, L.H. (Leonard H.), Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David R.), Knijff, Peter, Li, Q. (Qibin), Li, Y. (Yingrui), Du, Yuanping, Chen, Ruoyan, Cao, H. (Hongzhi), Wang, J. (Jun), Li, N. (Ning), Cao, S. (Sujie), Bovenberg, Jasper, Ommen, Gert-Jan, The Genome of the Netherlands Consortium, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Department of Health and Life Sciences, Groningen Research Institute for Asthma and COPD (GRIAC), Stem Cell Aging Leukemia and Lymphoma (SALL), Experimental Immunology, CCA - Cancer biology and immunology, Epidemiology and Data Science, Amsterdam Gastroenterology Endocrinology Metabolism, Epidemiology, Internal Medicine, Genetic Identification, Clinical Genetics, and Genome of the Netherlands Consortium

Subjects
Male, Telomere Homeostasis/genetics, Netherlands Twin Register (NTR), Non-Mendelian inheritance, lcsh:Medicine, Datasets as Topic, Ribonucleoside Diphosphate Reductase/genetics, Genome of the Netherlands consortium, Genome informatics, Genome, 0302 clinical medicine, Models, 80 and over, Inheritance Patterns, lcsh:Science, Child, Netherlands, Genetics, Aged, 80 and over, 0303 health sciences, Multidisciplinary, Age Factors, Functional genomics, Single Nucleotide, ASSOCIATION, Telomere, Middle Aged, 030220 oncology & carcinogenesis, Trait, Female, Maternal Inheritance, Biotechnology, Maternal Age, Adult, Ribonucleoside Diphosphate Reductase, Adolescent, Offspring, PROTEINS, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, Paternal Age, 03 medical and health sciences, Young Adult, Sex Factors, LUNG-CANCER, Genetic, Humans, Polymorphism, Telomere/metabolism, General, Gene, METAANALYSIS, 030304 developmental biology, Aged, Whole genome sequencing, Models, Genetic, Whole Genome Sequencing, Human Genome, lcsh:R, Telomere Homeostasis, SIZE, SUBUNIT, CELLS, Linear Models, lcsh:Q, Genome-Wide Association Study
Abstract

Telomere length (TL) regulation is an important factor in ageing, reproduction and cancer development. Genetic, hereditary and environmental factors regulating TL are currently widely investigated, however, their relative contribution to TL variability is still understudied. We have used whole genome sequencing data of 250 family trios from the Genome of the Netherlands project to perform computational measurement of TL and a series of regression and genome-wide association analyses to reveal TL inheritance patterns and associated genetic factors. Our results confirm that TL is a largely heritable trait, primarily with mother’s, and, to a lesser extent, with father’s TL having the strongest influence on the offspring. In this cohort, mother’s, but not father’s age at conception was positively linked to offspring TL. Age-related TL attrition of 40 bp/year had relatively small influence on TL variability. Finally, we have identified TL-associated variations in ribonuclease reductase catalytic subunit M1 (RRM1 gene), which is known to regulate telomere maintenance in yeast. We also highlight the importance of multivariate approach and the limitations of existing tools for the analysis of TL as a polygenic heritable quantitative trait.

Published
2019
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2. Low-frequency and common genetic variation in ischemic stroke : the METASTROKE collaboration

Author

Malik, R., Traylor, M., Pulit, S.L., Bevan, S., Hopewell, J.C., Holliday, E.G., Zhao, W., Abrantes, P., Amouyel, P., Attia, J.R., Battey, T.W., Berger, K., Boncoraglio, G.B., Chauhan, G., Cheng, Y.C., Chen, W.M., Clarke, R., Cotlarciuc, I., Debette, S., Falcone, G.J., Ferro, J.M., Gamble, D.M., Ilinca, A., Kittner, S.J., Kourkoulis, C.E., Lemmens, R., Levi, C.R., Lichtner, P., Lindgren, A., Liu, J., Meschia, J.F., Mitchell, B.D., Oliveira, S.A., Pera, J., Reiner, A.P., Rothwell, P.M., Sharma, P., Slowik, A., Sudlow, C.L., Tatlisumak, T., Thijs, V., Vicente, A.M., Woo, D., Seshadri, S., Saleheen, D., Rosand, J., Markus, H.S., Worrall, B.B., Dichgans, M., ISGC Analysis Group, METASTROKE collaboration, Wellcome Trust Case Control Consortium 2 (WTCCC2), and NINDS Stroke Genetics Network (SiGN)

Subjects
0301 basic medicine, medicine.medical_specialty, Genome-wide association study, Polymorphism, Single Nucleotide, Gastroenterology, Article, Brain Ischemia, Doenças Cardio e Cérebro-vasculares, 03 medical and health sciences, 0302 clinical medicine, Missing heritability problem, Internal medicine, ABO blood group system, Genetic variation, Humans, Medicine, Cooperative Behavior, 1000 Genomes Project, Allele frequency, Stroke, Ischemic Stroke, Genetic association, Genetics, business.industry, Genetic Variation, Correction, medicine.disease, 030104 developmental biology, Case-Control Studies, Ischemic stroke, Cardiology, Neurology (clinical), business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Erratum in: Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration. [Neurology. 2016] Objective: To investigate the influence of common and low-frequency genetic variants on the risk of ischemic stroke (all IS) and etiologic stroke subtypes. Methods: We meta-analyzed 12 individual genome-wide association studies comprising 10,307 cases and 19,326 controls imputed to the 1000 Genomes (1 KG) phase I reference panel. We selected variants showing the highest degree of association (p , 1E-5) in the discovery phase for replication in Caucasian (13,435 cases and 29,269 controls) and South Asian (2,385 cases and 5,193 controls) samples followed by a transethnic meta-analysis. We further investigated the p value distribution for different bins of allele frequencies for all IS and stroke subtypes. Results: We showed genome-wide significance for 4 loci: ABO for all IS, HDAC9 for large vessel disease (LVD), and both PITX2 and ZFHX3 for cardioembolic stroke (CE). We further refined the association peaks for ABO and PITX2. Analyzing different allele frequency bins, we showed significant enrichment in low-frequency variants (allele frequency ,5%) for both LVD and small vessel disease, and an enrichment of higher frequency variants (allele frequency 10% and 30%) for CE (all p , 1E-5). Conclusions: Our findings suggest that the missing heritability in IS subtypes can in part be attributed to low-frequency and rare variants. Larger sample sizes are needed to identify the variants associated with all IS and stroke subtypes.

Published
2016

3. Genome-wide patterns and properties of de novo mutations in humans

Author

Francioli, L.C., Polak, P.P., Koren, A., Menelaou, A., Chun, S., Renkens, I., van Duijn, C.M., Swertz, M.A., Wijmenga, C., van Ommen, G.J., Slagboom, P.E., Boomsma, D.I., Ye, K., Guryev, V., Arndt, P.F., Kloosterman, W.P., Bakker, P.I.W., Sunyaev, S.R., Dijk, F., Neerincx, P.B.T., Pulit, S.L., Deelen, P., Elbers, C.C., Palamara, P.F., Pe'er, I., Abdellaoui, A., van Oven, M., Vermaat, M., Li, M., Laros, J.F.J., Stoneking, M., de Knijff, P., Kayser, M., Veldink, J.H., Van den Berg, L.H., Byelas, H., den Dunnen, J.T., Dijkstra, M., Amin, N., van der Velde, K.J., Hottenga, J.J., van Setten, J., van Leeuwen, E.M., Kanterakis, A., Kattenberg, V.M., Karssen, L.C., van Schaik, B.D.C., Bot, J., Nijman, I.J., van Enckevort, D., Mei, H., Koval, V., Estrada, K., Medina-Gomez, C., Lameijer, E.W., Moed, M.H., Hehir-Kwa, J.Y., Handsaker, R.E., McCarroll, S.A., Vuzman, D., Sohail, M., Hormozdiari, F., Marschall, T., Schönhuth, A., Beekman, M., de Craen, A.J., Suchiman, H.E.D., Hofman, A., Oostra, B., Isaacs, A., Rivadeneira, F., Uitterlinden, A.G., Willemsen, G., Platteel, M., Pitts, S.J., Potluri, S., Sundar, P., Cox, D.R., Li, Q., Li, Y., Du, Y., Chen, R., Cao, H., Li, N., Cao, S., Wang, J., Bovenberg, J.A., Brandsma, M., Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Research Institute for Asthma and COPD (GRIAC), Biological Psychology, Culture, Organization and Management, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Epidemiology, and Pharmacy

Subjects
Male, Netherlands Twin Register (NTR), Mutation rate, Population genetics, Twin Study, DISEASE, Nucleotide diversity, 0302 clinical medicine, Mutation Rate, ELEMENTS, Non-U.S. Gov't, POPULATION, Genetics, 0303 health sciences, education.field_of_study, Research Support, Non-U.S. Gov't, SUBSTITUTION, Mutation (genetic algorithm), Female, Pan troglodytes, Population, DNA-SEQUENCING DATA, Mutagenesis (molecular biology technique), Biology, Research Support, Article, Paternal Age, N.I.H, Evolution, Molecular, 03 medical and health sciences, Germline mutation, SDG 3 - Good Health and Well-being, Research Support, N.I.H., Extramural, Journal Article, Animals, Humans, education, Germ-Line Mutation, 030304 developmental biology, Models, Genetic, Genome, Human, Extramural, FRAMEWORK, POLYMORPHISM, RECOMBINATION RATES, RESOLUTION, RADIATION, Human genome, 030217 neurology & neurosurgery
Abstract

Mutations create variation in the population, fuel evolution and cause genetic diseases. Current knowledge about de novo mutations is incomplete and mostly indirect(1-10). Here we analyze 11,020 de novo mutations from the whole genomes of 250 families. We show that de novo mutations in the offspring of older fathers are not only more numerous(11-13) but also occur more frequently in early-replicating, genic regions. Functional regions exhibit higher mutation rates due to CpG dinucleotides and show signatures of transcriptioncoupled repair, whereas mutation clusters with a unique signature point to a new mutational mechanism. Mutation and recombination rates independently associate with nucleotide diversity, and regional variation in human-chimpanzee divergence is only partly explained by heterogeneity in mutation rate. Finally, we provide a genome-wide mutation rate map for medical and population genetics applications. Our results provide new insights and refine long-standing hypotheses about human mutagenesis.

Published
2015
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