Literature DB >> 33110259

Exons as units of phenotypic impact for truncating mutations in autism.

Andrew H Chiang1,2, Jonathan Chang1,2, Jiayao Wang1,2, Dennis Vitkup3,4.   

Abstract

Autism spectrum disorders (ASD) are a group of related neurodevelopmental diseases displaying significant genetic and phenotypic heterogeneity. Despite recent progress in understanding ASD genetics, the nature of phenotypic heterogeneity across probands remains unclear. Notably, likely gene-disrupting (LGD) de novo mutations affecting the same gene often result in substantially different ASD phenotypes. Nevertheless, we find that truncating mutations affecting the same exon frequently lead to strikingly similar intellectual phenotypes in unrelated ASD probands. Analogous patterns are observed for two independent proband cohorts and several other important ASD-associated phenotypes. We find that exons biased toward prenatal and postnatal expression preferentially contribute to ASD cases with lower and higher IQ phenotypes, respectively. These results suggest that exons, rather than genes, often represent a unit of effective phenotypic impact for truncating mutations in autism. The observed phenotypic patterns are likely mediated by nonsense-mediated decay (NMD) of splicing isoforms, with autism phenotypes usually triggered by relatively mild (15-30%) decreases in overall gene dosage. We find that each ASD gene with recurrent mutations can be characterized by a parameter, phenotype dosage sensitivity (PDS), which quantifies the relationship between changes in a gene's dosage and changes in a given disease phenotype. We further demonstrate analogous relationships between exon LGDs and gene expression changes in multiple human tissues. Therefore, similar phenotypic patterns may be also observed in other human genetic disorders.

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Year:  2020        PMID: 33110259     DOI: 10.1038/s41380-020-00876-3

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  54 in total

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2.  Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism.

Authors:  F Kyle Satterstrom; Jack A Kosmicki; Jiebiao Wang; Michael S Breen; Silvia De Rubeis; Joon-Yong An; Minshi Peng; Ryan Collins; Jakob Grove; Lambertus Klei; Christine Stevens; Jennifer Reichert; Maureen S Mulhern; Mykyta Artomov; Sherif Gerges; Brooke Sheppard; Xinyi Xu; Aparna Bhaduri; Utku Norman; Harrison Brand; Grace Schwartz; Rachel Nguyen; Elizabeth E Guerrero; Caroline Dias; Catalina Betancur; Edwin H Cook; Louise Gallagher; Michael Gill; James S Sutcliffe; Audrey Thurm; Michael E Zwick; Anders D Børglum; Matthew W State; A Ercument Cicek; Michael E Talkowski; David J Cutler; Bernie Devlin; Stephan J Sanders; Kathryn Roeder; Mark J Daly; Joseph D Buxbaum
Journal:  Cell       Date:  2020-01-23       Impact factor: 41.582

3.  Rare de novo variants associated with autism implicate a large functional network of genes involved in formation and function of synapses.

Authors:  Sarah R Gilman; Ivan Iossifov; Dan Levy; Michael Ronemus; Michael Wigler; Dennis Vitkup
Journal:  Neuron       Date:  2011-06-09       Impact factor: 17.173

4.  Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism.

Authors:  Stephan J Sanders; A Gulhan Ercan-Sencicek; Vanessa Hus; Rui Luo; Michael T Murtha; Daniel Moreno-De-Luca; Su H Chu; Michael P Moreau; Abha R Gupta; Susanne A Thomson; Christopher E Mason; Kaya Bilguvar; Patricia B S Celestino-Soper; Murim Choi; Emily L Crawford; Lea Davis; Nicole R Davis Wright; Rahul M Dhodapkar; Michael DiCola; Nicholas M DiLullo; Thomas V Fernandez; Vikram Fielding-Singh; Daniel O Fishman; Stephanie Frahm; Rouben Garagaloyan; Gerald S Goh; Sindhuja Kammela; Lambertus Klei; Jennifer K Lowe; Sabata C Lund; Anna D McGrew; Kyle A Meyer; William J Moffat; John D Murdoch; Brian J O'Roak; Gordon T Ober; Rebecca S Pottenger; Melanie J Raubeson; Youeun Song; Qi Wang; Brian L Yaspan; Timothy W Yu; Ilana R Yurkiewicz; Arthur L Beaudet; Rita M Cantor; Martin Curland; Dorothy E Grice; Murat Günel; Richard P Lifton; Shrikant M Mane; Donna M Martin; Chad A Shaw; Michael Sheldon; Jay A Tischfield; Christopher A Walsh; Eric M Morrow; David H Ledbetter; Eric Fombonne; Catherine Lord; Christa Lese Martin; Andrew I Brooks; James S Sutcliffe; Edwin H Cook; Daniel Geschwind; Kathryn Roeder; Bernie Devlin; Matthew W State
Journal:  Neuron       Date:  2011-06-09       Impact factor: 17.173

5.  Diverse types of genetic variation converge on functional gene networks involved in schizophrenia.

Authors:  Sarah R Gilman; Jonathan Chang; Bin Xu; Tejdeep S Bawa; Joseph A Gogos; Maria Karayiorgou; Dennis Vitkup
Journal:  Nat Neurosci       Date:  2012-11-11       Impact factor: 24.884

6.  Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction.

Authors:  M Ayalew; H Le-Niculescu; D F Levey; N Jain; B Changala; S D Patel; E Winiger; A Breier; A Shekhar; R Amdur; D Koller; J I Nurnberger; A Corvin; M Geyer; M T Tsuang; D Salomon; N J Schork; A H Fanous; M C O'Donovan; A B Niculescu
Journal:  Mol Psychiatry       Date:  2012-05-15       Impact factor: 15.992

7.  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

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

Authors:  Ivan Iossifov; Brian J O'Roak; Stephan J Sanders; Michael Ronemus; Niklas Krumm; Dan Levy; Holly A Stessman; Kali T Witherspoon; Laura Vives; Karynne E Patterson; Joshua D Smith; Bryan Paeper; Deborah A Nickerson; Jeanselle Dea; Shan Dong; Luis E Gonzalez; Jeffrey D Mandell; Shrikant M Mane; Michael T Murtha; Catherine A Sullivan; Michael F Walker; Zainulabedin Waqar; Liping Wei; A Jeremy Willsey; Boris Yamrom; Yoon-ha Lee; Ewa Grabowska; Ertugrul Dalkic; Zihua Wang; Steven Marks; Peter Andrews; Anthony Leotta; Jude Kendall; Inessa Hakker; Julie Rosenbaum; Beicong Ma; Linda Rodgers; Jennifer Troge; Giuseppe Narzisi; Seungtai Yoon; Michael C Schatz; Kenny Ye; W Richard McCombie; Jay Shendure; Evan E Eichler; Matthew W State; Michael Wigler
Journal:  Nature       Date:  2014-10-29       Impact factor: 69.504

9.  Genotype to phenotype relationships in autism spectrum disorders.

Authors:  Jonathan Chang; Sarah R Gilman; Andrew H Chiang; Stephan J Sanders; Dennis Vitkup
Journal:  Nat Neurosci       Date:  2014-12-22       Impact factor: 24.884

10.  De novo mutations in schizophrenia implicate synaptic networks.

Authors:  Menachem Fromer; Andrew J Pocklington; David H Kavanagh; Hywel J Williams; Sarah Dwyer; Padhraig Gormley; Lyudmila Georgieva; Elliott Rees; Priit Palta; Douglas M Ruderfer; Noa Carrera; Isla Humphreys; Jessica S Johnson; Panos Roussos; Douglas D Barker; Eric Banks; Vihra Milanova; Seth G Grant; Eilis Hannon; Samuel A Rose; Kimberly Chambert; Milind Mahajan; Edward M Scolnick; Jennifer L Moran; George Kirov; Aarno Palotie; Steven A McCarroll; Peter Holmans; Pamela Sklar; Michael J Owen; Shaun M Purcell; Michael C O'Donovan
Journal:  Nature       Date:  2014-01-22       Impact factor: 49.962

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  2 in total

1.  Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms.

Authors:  Ping-I Lin; Mohammad Ali Moni; Susan Shur-Fen Gau; Valsamma Eapen
Journal:  Front Psychiatry       Date:  2021-05-12       Impact factor: 4.157

2.  Full-length isoform transcriptome of the developing human brain provides further insights into autism.

Authors:  Kevin K Chau; Pan Zhang; Jorge Urresti; Megha Amar; Akula Bala Pramod; Jiaye Chen; Amy Thomas; Roser Corominas; Guan Ning Lin; Lilia M Iakoucheva
Journal:  Cell Rep       Date:  2021-08-31       Impact factor: 9.423

  2 in total

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