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Your search keyword '"van Roosmalen, Markus J."' showing total 3 results
Start Over Author "van Roosmalen, Markus J." Topic intellectual disability
3 results on '"van Roosmalen, Markus J."'

1. Mate pair sequencing for the detection of chromosomal aberrations in patients with intellectual disability and congenital malformations.

Author

Vergult S, Van Binsbergen E, Sante T, Nowak S, Vanakker O, Claes K, Poppe B, Van der Aa N, van Roosmalen MJ, Duran K, Tavakoli-Yaraki M, Swinkels M, van den Boogaard MJ, van Haelst M, Roelens F, Speleman F, Cuppen E, Mortier G, Kloosterman WP, and Menten B

Subjects
Abnormalities, Multiple diagnosis, Chromosome Banding, Chromosome Duplication, Chromosomes, Human, Pair 18, Chromosomes, Human, Pair 21, Comparative Genomic Hybridization, Computational Biology, Female, Humans, Intellectual Disability diagnosis, Karyotype, Male, Recombination, Genetic, Abnormalities, Multiple genetics, Chromosome Aberrations, High-Throughput Nucleotide Sequencing, Intellectual Disability genetics
Abstract

Recently, microarrays have replaced karyotyping as a first tier test in patients with idiopathic intellectual disability and/or multiple congenital abnormalities (ID/MCA) in many laboratories. Although in about 14-18% of such patients, DNA copy-number variants (CNVs) with clinical significance can be detected, microarrays have the disadvantage of missing balanced rearrangements, as well as providing no information about the genomic architecture of structural variants (SVs) like duplications and complex rearrangements. Such information could possibly lead to a better interpretation of the clinical significance of the SV. In this study, the clinical use of mate pair next-generation sequencing was evaluated for the detection and further characterization of structural variants within the genomes of 50 ID/MCA patients. Thirty of these patients carried a chromosomal aberration that was previously detected by array CGH or karyotyping and suspected to be pathogenic. In the remaining 20 patients no causal SVs were found and only benign aberrations were detected by conventional techniques. Combined cluster and coverage analysis of the mate pair data allowed precise breakpoint detection and further refinement of previously identified balanced and (complex) unbalanced aberrations, pinpointing the causal gene for some patients. We conclude that mate pair sequencing is a powerful technology that can provide rapid and unequivocal characterization of unbalanced and balanced SVs in patient genomes and can be essential for the clinical interpretation of some SVs.

Published
2014
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3. Characteristics of de novo structural changes in the human genome

Author

Kloosterman, Wigard P., Francioli, Laurent C., Hormozdiari, Fereydoun, Marschall, Tobias, Hehir-Kwa, Jayne Y., Abdellaoui, Abdel, Lameijer, Eric Wubbo, Moed, Matthijs H., Koval, Vyacheslav, Renkens, Ivo, Van Roosmalen, Markus J., Arp, Pascal, Karssen, Lennart C., Coe, Bradley P., Handsaker, Robert E., Suchiman, Eka D., Cuppen, Edwin, Thung, Djie Tjwan, McVey, Mitch, Wendl, Michael C., Uitterlinden, André, Van Duijn, Cornelia M., Swertz, Morris A., Wijmenga, Cisca, Van Ommen, Gert Jan B, Slagboom, P. Eline, Boomsma, Dorret I., Schönhuth, Alexander, Eichler, Evan E., De Bakker, Paul I W, Ye, Kai, Guryev, Victor, Bovenberg, Jasper A., De Craen, Anton J M, Beekman, Marian, Hofman, Albert, Willemsen, Gonneke, Wolffenbuttel, Bruce, Platteel, Mathieu, Du, Yuanping, Chen, Ruoyan, Cao, Hongzhi, Cao, Rui, Sun, Yushen, Cao, Jeremy Sujie, Van Dijk, Freerk, Neerincx, Pieter B T, Deelen, Patrick, Dijkstra, Martijn, Byelas, George, Kanterakis, Alexandros, Bot, Jan, Vermaat, Martijn, Laros, Jeroen F J, Den Dunnen, Johan T., De Knijff, Peter, Van Leeuwen, Elisa M., Amin, Najaf, Rivadeneira, Fernando, Estrada, Karol, De Ligt, Joep, Hottenga, Jouke Jan, Kattenberg, V. Mathijs, Van Enckevort, David, Mei, Hailiang, Santcroos, Mark, Van Schaik, Barbera D C, McCarroll, Steven A., Ko, Arthur, Sudmant, Peter, Nijman, Isaac J., Adult Psychiatry, Epidemiology and Data Science, ACS - Amsterdam Cardiovascular Sciences, AII - Amsterdam institute for Infection and Immunity, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, ANS - Amsterdam Neuroscience, CCA -Cancer Center Amsterdam, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Internal Medicine, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), and Groningen Research Institute for Asthma and COPD (GRIAC)

Subjects
Male, Netherlands Twin Register (NTR), Mutation rate, INTELLECTUAL DISABILITY, Retrotransposon, Genome of Netherlands Consortium, VARIANTS, Medical and Health Sciences, Genome, 0302 clinical medicine, INDEL Mutation, Mutation Rate, Genetics(clinical), Copy-number variation, Genetics (clinical), Genetics, 0303 health sciences, education.field_of_study, food and beverages, Genomics, Single Nucleotide, Biological Sciences, Female, Sequence Analysis, Human, Retroelements, SEQUENCING DATA, Bioinformatics, Molecular Sequence Data, Population, MUTATION-RATES, POPULATION-SCALE, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Humans, Amino Acid Sequence, Polymorphism, Indel, education, Alleles, 030304 developmental biology, COPY NUMBER VARIATION, INDIVIDUAL HUMAN, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], IDENTIFICATION, Genome, Human, Research, Human Genome, Genetic Variation, Sequence Analysis, DNA, DNA, GENE, Haplotypes, DISCOVERY, Human genome, Sequence Alignment, 030217 neurology & neurosurgery
Abstract

Contains fulltext : 154750.pdf (Publisher’s version ) (Open Access) Small insertions and deletions (indels) and large structural variations (SVs) are major contributors to human genetic diversity and disease. However, mutation rates and characteristics of de novo indels and SVs in the general population have remained largely unexplored. We report 332 validated de novo structural changes identified in whole genomes of 250 families, including complex indels, retrotransposon insertions, and interchromosomal events. These data indicate a mutation rate of 2.94 indels (1-20 bp) and 0.16 SVs (>20 bp) per generation. De novo structural changes affect on average 4.1 kbp of genomic sequence and 29 coding bases per generation, which is 91 and 52 times more nucleotides than de novo substitutions, respectively. This contrasts with the equal genomic footprint of inherited SVs and substitutions. An excess of structural changes originated on paternal haplotypes. Additionally, we observed a nonuniform distribution of de novo SVs across offspring. These results reveal the importance of different mutational mechanisms to changes in human genome structure across generations. 01 juni 2015

Published
2015
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