Literature DB >> 23033978

Diagnostic exome sequencing in persons with severe intellectual disability.

Joep de Ligt1, Marjolein H Willemsen, Bregje W M van Bon, Tjitske Kleefstra, Helger G Yntema, Thessa Kroes, Anneke T Vulto-van Silfhout, David A Koolen, Petra de Vries, Christian Gilissen, Marisol del Rosario, Alexander Hoischen, Hans Scheffer, Bert B A de Vries, Han G Brunner, Joris A Veltman, Lisenka E L M Vissers.   

Abstract

BACKGROUND: The causes of intellectual disability remain largely unknown because of extensive clinical and genetic heterogeneity.
METHODS: We evaluated patients with intellectual disability to exclude known causes of the disorder. We then sequenced the coding regions of more than 21,000 genes obtained from 100 patients with an IQ below 50 and their unaffected parents. A data-analysis procedure was developed to identify and classify de novo, autosomal recessive, and X-linked mutations. In addition, we used high-throughput resequencing to confirm new candidate genes in 765 persons with intellectual disability (a confirmation series). All mutations were evaluated by molecular geneticists and clinicians in the context of the patients' clinical presentation.
RESULTS: We identified 79 de novo mutations in 53 of 100 patients. A total of 10 de novo mutations and 3 X-linked (maternally inherited) mutations that had been previously predicted to compromise the function of known intellectual-disability genes were found in 13 patients. Potentially causative de novo mutations in novel candidate genes were detected in 22 patients. Additional de novo mutations in 3 of these candidate genes were identified in patients with similar phenotypes in the confirmation series, providing support for mutations in these genes as the cause of intellectual disability. We detected no causative autosomal recessive inherited mutations in the discovery series. Thus, the total diagnostic yield was 16%, mostly involving de novo mutations.
CONCLUSIONS: De novo mutations represent an important cause of intellectual disability; exome sequencing was used as an effective diagnostic strategy for their detection. (Funded by the European Union and others.).

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Year:  2012        PMID: 23033978     DOI: 10.1056/NEJMoa1206524

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  658 in total

1.  Spatial Clustering of de Novo Missense Mutations Identifies Candidate Neurodevelopmental Disorder-Associated Genes.

Authors:  Stefan H Lelieveld; Laurens Wiel; Hanka Venselaar; Rolph Pfundt; Gerrit Vriend; Joris A Veltman; Han G Brunner; Lisenka E L M Vissers; Christian Gilissen
Journal:  Am J Hum Genet       Date:  2017-08-31       Impact factor: 11.025

2.  Exonic Mosaic Mutations Contribute Risk for Autism Spectrum Disorder.

Authors:  Deidre R Krupp; Rebecca A Barnard; Yannis Duffourd; Sara A Evans; Ryan M Mulqueen; Raphael Bernier; Jean-Baptiste Rivière; Eric Fombonne; Brian J O'Roak
Journal:  Am J Hum Genet       Date:  2017-08-31       Impact factor: 11.025

3.  Exome sequencing in developmental eye disease leads to identification of causal variants in GJA8, CRYGC, PAX6 and CYP1B1.

Authors:  Ivan Prokudin; Cas Simons; John R Grigg; Rebecca Storen; Vikrant Kumar; Zai Y Phua; James Smith; Maree Flaherty; Sonia Davila; Robyn V Jamieson
Journal:  Eur J Hum Genet       Date:  2013-11-27       Impact factor: 4.246

4.  Profiling and Leveraging Relatedness in a Precision Medicine Cohort of 92,455 Exomes.

Authors:  Jeffrey Staples; Evan K Maxwell; Nehal Gosalia; Claudia Gonzaga-Jauregui; Christopher Snyder; Alicia Hawes; John Penn; Ricardo Ulloa; Xiaodong Bai; Alexander E Lopez; Cristopher V Van Hout; Colm O'Dushlaine; Tanya M Teslovich; Shane E McCarthy; Suganthi Balasubramanian; H Lester Kirchner; Joseph B Leader; Michael F Murray; David H Ledbetter; Alan R Shuldiner; George D Yancoupolos; Frederick E Dewey; David J Carey; John D Overton; Aris Baras; Lukas Habegger; Jeffrey G Reid
Journal:  Am J Hum Genet       Date:  2018-05-03       Impact factor: 11.025

5.  A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies.

Authors:  Yuwen Liu; Yanyu Liang; A Ercument Cicek; Zhongshan Li; Jinchen Li; Rebecca A Muhle; Martina Krenzer; Yue Mei; Yan Wang; Nicholas Knoblauch; Jean Morrison; Siming Zhao; Yi Jiang; Evan Geller; Iuliana Ionita-Laza; Jinyu Wu; Kun Xia; James P Noonan; Zhong Sheng Sun; Xin He
Journal:  Am J Hum Genet       Date:  2018-05-10       Impact factor: 11.025

6.  De Novo Mutations and Rare Variants Occurring in NMDA Receptors.

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Journal:  J Physiol       Date:  2020-06-15       Impact factor: 5.182

9.  De Novo Truncating Variants in ASXL2 Are Associated with a Unique and Recognizable Clinical Phenotype.

Authors:  Vandana Shashi; Loren D M Pena; Katherine Kim; Barbara Burton; Maja Hempel; Kelly Schoch; Magdalena Walkiewicz; Heather M McLaughlin; Megan Cho; Nicholas Stong; Scott E Hickey; Christine M Shuss; Michael S Freemark; Jane S Bellet; Martha Ann Keels; Melanie J Bonner; Maysantoine El-Dairi; Megan Butler; Peter G Kranz; Constance T R M Stumpel; Sylvia Klinkenberg; Karin Oberndorff; Malik Alawi; Rene Santer; Slavé Petrovski; Outi Kuismin; Satu Korpi-Heikkilä; Olli Pietilainen; Palotie Aarno; Mitja I Kurki; Alexander Hoischen; Anna C Need; David B Goldstein; Fanny Kortüm
Journal:  Am J Hum Genet       Date:  2016-09-29       Impact factor: 11.025

10.  Diagnostic utility of whole exome sequencing in patients showing cerebellar and/or vermis atrophy in childhood.

Authors:  Chihiro Ohba; Hitoshi Osaka; Mizue Iai; Sumimasa Yamashita; Yume Suzuki; Noriko Aida; Nobuyuki Shimozawa; Ayumi Takamura; Hiroshi Doi; Atsuko Tomita-Katsumoto; Kiyomi Nishiyama; Yoshinori Tsurusaki; Mitsuko Nakashima; Noriko Miyake; Yoshikatsu Eto; Fumiaki Tanaka; Naomichi Matsumoto; Hirotomo Saitsu
Journal:  Neurogenetics       Date:  2013-10-04       Impact factor: 2.660

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