Literature DB >> 25363768

The contribution of de novo coding mutations to autism spectrum disorder.

Ivan Iossifov1, Brian J O'Roak2, Stephan J Sanders3, Michael Ronemus1, Niklas Krumm4, Dan Levy1, Holly A Stessman4, Kali T Witherspoon4, Laura Vives4, Karynne E Patterson4, Joshua D Smith4, Bryan Paeper4, Deborah A Nickerson4, Jeanselle Dea5, Shan Dong6, Luis E Gonzalez7, Jeffrey D Mandell5, Shrikant M Mane8, Michael T Murtha7, Catherine A Sullivan7, Michael F Walker5, Zainulabedin Waqar7, Liping Wei9, A Jeremy Willsey3, Boris Yamrom1, Yoon-ha Lee1, Ewa Grabowska10, Ertugrul Dalkic11, Zihua Wang1, Steven Marks1, Peter Andrews1, Anthony Leotta1, Jude Kendall1, Inessa Hakker1, Julie Rosenbaum1, Beicong Ma1, Linda Rodgers1, Jennifer Troge1, Giuseppe Narzisi10, Seungtai Yoon1, Michael C Schatz1, Kenny Ye12, W Richard McCombie1, Jay Shendure4, Evan E Eichler13, Matthew W State14, Michael Wigler1.   

Abstract

Whole exome sequencing has proven to be a powerful tool for understanding the genetic architecture of human disease. Here we apply it to more than 2,500 simplex families, each having a child with an autistic spectrum disorder. By comparing affected to unaffected siblings, we show that 13% of de novo missense mutations and 43% of de novo likely gene-disrupting (LGD) mutations contribute to 12% and 9% of diagnoses, respectively. Including copy number variants, coding de novo mutations contribute to about 30% of all simplex and 45% of female diagnoses. Almost all LGD mutations occur opposite wild-type alleles. LGD targets in affected females significantly overlap the targets in males of lower intelligence quotient (IQ), but neither overlaps significantly with targets in males of higher IQ. We estimate that LGD mutation in about 400 genes can contribute to the joint class of affected females and males of lower IQ, with an overlapping and similar number of genes vulnerable to contributory missense mutation. LGD targets in the joint class overlap with published targets for intellectual disability and schizophrenia, and are enriched for chromatin modifiers, FMRP-associated genes and embryonically expressed genes. Most of the significance for the latter comes from affected females.

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Year:  2014        PMID: 25363768      PMCID: PMC4313871          DOI: 10.1038/nature13908

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  49 in total

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Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

2.  Structural variation of chromosomes in autism spectrum disorder.

Authors:  Christian R Marshall; Abdul Noor; John B Vincent; Anath C Lionel; Lars Feuk; Jennifer Skaug; Mary Shago; Rainald Moessner; Dalila Pinto; Yan Ren; Bhooma Thiruvahindrapduram; Andreas Fiebig; Stefan Schreiber; Jan Friedman; Cees E J Ketelaars; Yvonne J Vos; Can Ficicioglu; Susan Kirkpatrick; Rob Nicolson; Leon Sloman; Anne Summers; Clare A Gibbons; Ahmad Teebi; David Chitayat; Rosanna Weksberg; Ann Thompson; Cathy Vardy; Vicki Crosbie; Sandra Luscombe; Rebecca Baatjes; Lonnie Zwaigenbaum; Wendy Roberts; Bridget Fernandez; Peter Szatmari; Stephen W Scherer
Journal:  Am J Hum Genet       Date:  2008-01-17       Impact factor: 11.025

3.  Whole-genome sequencing in autism identifies hot spots for de novo germline mutation.

Authors:  Jacob J Michaelson; Yujian Shi; Madhusudan Gujral; Hancheng Zheng; Dheeraj Malhotra; Xin Jin; Minghan Jian; Guangming Liu; Douglas Greer; Abhishek Bhandari; Wenting Wu; Roser Corominas; Aine Peoples; Amnon Koren; Athurva Gore; Shuli Kang; Guan Ning Lin; Jasper Estabillo; Therese Gadomski; Balvindar Singh; Kun Zhang; Natacha Akshoomoff; Christina Corsello; Steven McCarroll; Lilia M Iakoucheva; Yingrui Li; Jun Wang; Jonathan Sebat
Journal:  Cell       Date:  2012-12-21       Impact factor: 41.582

Review 4.  Gene balance hypothesis: connecting issues of dosage sensitivity across biological disciplines.

Authors:  James A Birchler; Reiner A Veitia
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

5.  MIPgen: optimized modeling and design of molecular inversion probes for targeted resequencing.

Authors:  Evan A Boyle; Brian J O'Roak; Beth K Martin; Akash Kumar; Jay Shendure
Journal:  Bioinformatics       Date:  2014-05-26       Impact factor: 6.937

6.  Advancing paternal age and autism.

Authors:  Abraham Reichenberg; Raz Gross; Mark Weiser; Michealine Bresnahan; Jeremy Silverman; Susan Harlap; Jonathan Rabinowitz; Cory Shulman; Dolores Malaspina; Gad Lubin; Haim Y Knobler; Michael Davidson; Ezra Susser
Journal:  Arch Gen Psychiatry       Date:  2006-09

7.  De novo gene disruptions in children on the autistic spectrum.

Authors:  Ivan Iossifov; Michael Ronemus; Dan Levy; Zihua Wang; Inessa Hakker; Julie Rosenbaum; Boris Yamrom; Yoon-Ha Lee; Giuseppe Narzisi; Anthony Leotta; Jude Kendall; Ewa Grabowska; Beicong Ma; Steven Marks; Linda Rodgers; Asya Stepansky; Jennifer Troge; Peter Andrews; Mitchell Bekritsky; Kith Pradhan; Elena Ghiban; Melissa Kramer; Jennifer Parla; Ryan Demeter; Lucinda L Fulton; Robert S Fulton; Vincent J Magrini; Kenny Ye; Jennifer C Darnell; Robert B Darnell; Elaine R Mardis; Richard K Wilson; Michael C Schatz; W Richard McCombie; Michael Wigler
Journal:  Neuron       Date:  2012-04-26       Impact factor: 17.173

8.  Spatial and temporal mapping of de novo mutations in schizophrenia to a fetal prefrontal cortical network.

Authors:  Suleyman Gulsuner; Tom Walsh; Amanda C Watts; Ming K Lee; Anne M Thornton; Silvia Casadei; Caitlin Rippey; Hashem Shahin; Vishwajit L Nimgaonkar; Rodney C P Go; Robert M Savage; Neal R Swerdlow; Raquel E Gur; David L Braff; Mary-Claire King; Jon M McClellan
Journal:  Cell       Date:  2013-08-01       Impact factor: 41.582

9.  Transcriptomic analysis of autistic brain reveals convergent molecular pathology.

Authors:  Irina Voineagu; Xinchen Wang; Patrick Johnston; Jennifer K Lowe; Yuan Tian; Steve Horvath; Jonathan Mill; Rita M Cantor; Benjamin J Blencowe; Daniel H Geschwind
Journal:  Nature       Date:  2011-05-25       Impact factor: 49.962

10.  Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations.

Authors:  Brian J O'Roak; Laura Vives; Santhosh Girirajan; Emre Karakoc; Niklas Krumm; Bradley P Coe; Roie Levy; Arthur Ko; Choli Lee; Joshua D Smith; Emily H Turner; Ian B Stanaway; Benjamin Vernot; Maika Malig; Carl Baker; Beau Reilly; Joshua M Akey; Elhanan Borenstein; Mark J Rieder; Deborah A Nickerson; Raphael Bernier; Jay Shendure; Evan E Eichler
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

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  996 in total

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Authors:  Elizabeth M Berry-Kravis; Lothar Lindemann; Aia E Jønch; George Apostol; Mark F Bear; Randall L Carpenter; Jacqueline N Crawley; Aurore Curie; Vincent Des Portes; Farah Hossain; Fabrizio Gasparini; Baltazar Gomez-Mancilla; David Hessl; Eva Loth; Sebastian H Scharf; Paul P Wang; Florian Von Raison; Randi Hagerman; Will Spooren; Sébastien Jacquemont
Journal:  Nat Rev Drug Discov       Date:  2017-12-08       Impact factor: 84.694

2.  Coalitional game theory as a promising approach to identify candidate autism genes.

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3.  Haploinsufficiency of ZNF462 is associated with craniofacial anomalies, corpus callosum dysgenesis, ptosis, and developmental delay.

Authors:  Karin Weiss; Kristen Wigby; Madeleine Fannemel; Lindsay B Henderson; Natalie Beck; Neeti Ghali; D D D Study; Britt-Marie Anderlid; Johanna Lundin; Ada Hamosh; Marilyn C Jones; Sondhya Ghedia; Maximilian Muenke; Paul Kruszka
Journal:  Eur J Hum Genet       Date:  2017-05-17       Impact factor: 4.246

Review 4.  Drug development in the era of precision medicine.

Authors:  Sarah A Dugger; Adam Platt; David B Goldstein
Journal:  Nat Rev Drug Discov       Date:  2017-12-08       Impact factor: 84.694

5.  Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress.

Authors:  Ligia A Papale; Sisi Li; Andy Madrid; Qi Zhang; Li Chen; Pankaj Chopra; Peng Jin; Sündüz Keleş; Reid S Alisch
Journal:  Neurobiol Dis       Date:  2016-08-26       Impact factor: 5.996

6.  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

7.  Missense variants in the chromatin remodeler CHD1 are associated with neurodevelopmental disability.

Authors:  Genay O Pilarowski; Hilary J Vernon; Carolyn D Applegate; Leandros Boukas; Megan T Cho; Christina A Gurnett; Paul J Benke; Erin Beaver; Jennifer M Heeley; Livija Medne; Ian D Krantz; Meron Azage; Dmitriy Niyazov; Lindsay B Henderson; Ingrid M Wentzensen; Berivan Baskin; Maria J Guillen Sacoto; Gregory D Bowman; Hans T Bjornsson
Journal:  J Med Genet       Date:  2017-09-02       Impact factor: 6.318

8.  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

9.  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

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

Authors:  Wenshu XiangWei; Yuwu Jiang; Hongjie Yuan
Journal:  Curr Opin Physiol       Date:  2017-12-27
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