Evidence map›Paper›PMID 24094742›Full record

ArticleAmerican journal of human genetics2013

Identification of small exonic CNV from whole-exome sequence data and application to autism spectrum disorder.

Christopher S Poultney, Arthur P Goldberg, Elodie Drapeau, Yan Kou, Hala Harony-Nicolas, Yuji Kajiwara, Silvia De Rubeis, Simon Durand, Christine Stevens, Karola Rehnström and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 pooled it
16.5field-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

92 citing papers in PubMed, 3 syntheses or guidelines pooled it, 169 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Synaptic Proteostasis in Health and Disease.Journal of neurochemistry · 2026
    Review
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  14. Therapeutic effects ofFrontiers in pharmacology · 2025
    Article
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32 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

15 authors at 7 institutions in 3 countries.

Christopher S PoultneySeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Arthur P Goldberg
Elodie Drapeau
Yan Kou
Hala Harony-Nicolas
Yuji Kajiwara
Silvia De Rubeis
Simon Durand
Christine Stevens
Karola Rehnström
Aarno Palotie
Mark J Daly
Avi Ma'ayan
Menachem Fromer
Joseph D Buxbaum
Icahn School of Medicine at Mount Sinai · USAllen Institute for Brain Science · USBroad Institute · USChild Health and Development Institute · USMassachusetts General Hospital · USUniversity of Helsinki · FIWellcome Sanger Institute · GB

Funding

Population-Based Autism Genetics & Environment StudyR01MH097849 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2014 to 2022
$5.2M
1/4-The Autism Sequencing Consortium: Autism gene discovery in >20,000 exomesU01MH100233 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2013 to 2015
$2.5M
3/5-Elucidating the Genetic Architecture of Autism by Deep Genomic SequencingR01MH089025 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2009 to 2010
$1.4M
Population-Based Autism Genetics & Environment StudyR56MH097849 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2012 to 2013
$1.3M
Expression2Kinases: mRNA Profiling Linked to Multiple Upstream Regulatory LayersR01GM098316 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2012 to 2015
$1.3M
NIGMS NIH HHS R01 GM098316NIMH NIH HHS MH089025NIMH NIH HHS MH097849NIMH NIH HHS MH100233NIMH NIH HHS R01 MH089025NIMH NIH HHS R01 MH097849NIMH NIH HHS R56 MH097849NIMH NIH HHS U01 MH100233
6 · The paper itself

Abstract

Copy number variation (CNV) is an important determinant of human diversity and plays important roles in susceptibility to disease. Most studies of CNV carried out to date have made use of chromosome microarray and have had a lower size limit for detection of about 30 kilobases (kb). With the emergence of whole-exome sequencing studies, we asked whether such data could be used to reliably call rare exonic CNV in the size range of 1-30 kilobases (kb), making use of the eXome Hidden Markov Model (XHMM) program. By using both transmission information and validation by molecular methods, we confirmed that small CNV encompassing as few as three exons can be reliably called from whole-exome data. We applied this approach to an autism case-control sample (n = 811, mean per-target read depth = 161) and observed a significant increase in the burden of rare (MAF ≤1%) 1-30 kb CNV, 1-30 kb deletions, and 1-10 kb deletions in ASD. CNV in the 1-30 kb range frequently hit just a single gene, and we were therefore able to carry out enrichment and pathway analyses, where we observed enrichment for disruption of genes in cytoskeletal and autophagy pathways in ASD. In summary, our results showed that XHMM provided an effective means to assess small exonic CNV from whole-exome data, indicated that rare 1-30 kb exonic deletions could contribute to risk in up to 7% of individuals with ASD, and implicated a candidate pathway in developmental delay syndromes.

Indexed as

DNA Copy Number VariationsExomeAutophagyBase SequenceCase-Control StudiesChildChild Development Disorders, PervasiveExonsGene DeletionGenetic Predisposition to DiseaseHumansMolecular Sequence DataSequence Analysis, DNA

Identifiers

PMID24094742
PMCPMC3791269
OpenAlexW2012352152

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.