Evidence map›Paper›PMID 26749308›Full record

ArticleAmerican journal of human genetics2016

Genome Sequencing of Autism-Affected Families Reveals Disruption of Putative Noncoding Regulatory DNA.

Tychele N Turner, Fereydoun Hormozdiari, Michael H Duyzend, Sarah A McClymont, Paul W Hook, Ivan Iossifov, Archana Raja, Carl Baker, Kendra Hoekzema, Holly A Stessman and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed
18.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

172 citing papers in PubMed, 288 citations in OpenAlex.

  1. Molecular syndromology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Targeted Therapy ofNeurology. Genetics · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Exploring key genes and pathways associated with sex differences in autism spectrum disorder: integrated bioinformatic analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  19. Review
  20. Article

112 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 6 institutions in 1 country.

Tychele N TurnerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Fereydoun HormozdiariDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Michael H DuyzendDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Sarah A McClymontMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Paul W HookMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Ivan IossifovCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; New York Genome Center, New York, NY 10013, USA.
Archana RajaDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
Carl BakerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Kendra HoekzemaDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Holly A StessmanDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Michael C ZodyNew York Genome Center, New York, NY 10013, USA.
Bradley J NelsonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
John HuddlestonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
Richard SandstromDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Joshua D SmithDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
David HannaDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
James M SwansonDepartment of Pediatrics, University of California, Irvine, CA 92612, USA.
Elaine M FaustmanDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98105, USA.
Michael J BamshadDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195, USA.
John StamatoyannopoulosDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Deborah A NickersonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Andrew S McCallionMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Robert DarnellNew York Genome Center, New York, NY 10013, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA; Rockefeller University, New York, NY 10065, USA.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. Electronic address: eee@gs.washington.edu.
University of Washington · USHoward Hughes Medical Institute · USJohns Hopkins University · USCold Spring Harbor Laboratory · USNew York Genome Center · USUniversity of California, Irvine · US

Funding

New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6M
University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Predoctoral Training Program in Human GeneticsT32GM007814 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 1985 to 2021
$10.6M
Intellectual and Developmental Disabilities Research CenterU54HD083091 · NICHD · UNIVERSITY OF WASHINGTON · PI DOHERTY, DANIEL · 2014 to 2019
$7.9M
Development of a Neuronal Regulatory LexiconR01NS062972 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MCCALLION, ANDREW S · 2009 to 2018
$4.1M
Howard Hughes Medical InstituteNHGRI NIH HHS 2T32HG000035NHGRI NIH HHS T32 HG000035NHGRI NIH HHS UM1 HG008901NICHD NIH HHS HHSN267200700021CNICHD NIH HHS HHSN267200700023CNICHD NIH HHS HHSN275200800015CNICHD NIH HHS U54 HD083091NIGMS NIH HHS 5T32GM07814NIGMS NIH HHS T32 GM007266NIGMS NIH HHS T32 GM007814NINDS NIH HHS NS062972NINDS NIH HHS R01 NS062972
6 · The paper itself

Abstract

We performed whole-genome sequencing (WGS) of 208 genomes from 53 families affected by simplex autism. For the majority of these families, no copy-number variant (CNV) or candidate de novo gene-disruptive single-nucleotide variant (SNV) had been detected by microarray or whole-exome sequencing (WES). We integrated multiple CNV and SNV analyses and extensive experimental validation to identify additional candidate mutations in eight families. We report that compared to control individuals, probands showed a significant (p = 0.03) enrichment of de novo and private disruptive mutations within fetal CNS DNase I hypersensitive sites (i.e., putative regulatory regions). This effect was only observed within 50 kb of genes that have been previously associated with autism risk, including genes where dosage sensitivity has already been established by recurrent disruptive de novo protein-coding mutations (ARID1B, SCN2A, NR3C2, PRKCA, and DSCAM). In addition, we provide evidence of gene-disruptive CNVs (in DISC1, WNT7A, RBFOX1, and MBD5), as well as smaller de novo CNVs and exon-specific SNVs missed by exome sequencing in neurodevelopmental genes (e.g., CANX, SAE1, and PIK3CA). Our results suggest that the detection of smaller, often multiple CNVs affecting putative regulatory elements might help explain additional risk of simplex autism.

Indexed as

Genome, HumanAutistic DisorderDNAExomeFemaleHumansMalePedigreePolymorphism, Single NucleotideDNA

Identifiers

PMID26749308
PMCPMC4716689
OpenAlexW2212604588

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.