Evidence map›Paper›PMID 26204995›Full record

ArticleHuman genetics2015

Whole exome sequencing in extended families with autism spectrum disorder implicates four candidate genes.

Nicola H Chapman, Alejandro Q Nato, Raphael Bernier, Katy Ankenman, Harkirat Sohi, Jeff Munson, Ashok Patowary, Marilyn Archer, Elizabeth M Blue, Sara Jane Webb and 4 more

Abstract read
In one paragraph

Article in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Shared genetic background between children and adults with attention deficit/hyperactivity disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Pooled it
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  12. High expression ofGland surgery · 2022
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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

14 authors at 4 institutions in 1 country.

Nicola H ChapmanDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA.
Alejandro Q NatoDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA.
Raphael BernierDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Katy AnkenmanDepartment of Psychiatry, University of California, San Francisco, CA, USA.
Harkirat SohiDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA.
Jeff MunsonDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Ashok PatowaryDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Marilyn ArcherDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Elizabeth M BlueDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2725-6669
Sara Jane WebbDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Hilary CoonDepartment of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
Wendy H RaskindDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA.
Zoran BrkanacDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Ellen M WijsmanDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA. wijsman@u.washington.edu.
University of Washington · USUniversity of Washington Medical Center · USUniversity of California, San Francisco · USUniversity of Utah · US

Funding

Intellectual and Developmental Disabilities Research CenterU54HD083091 · NICHD · UNIVERSITY OF WASHINGTON · PI GURALNICK, MICHAEL J · 2014 to 2019
$7.9M
Next Generation Gene Discovery in Familial AutismR01MH092367 · NIMH · UNIVERSITY OF WASHINGTON · PI BRKANAC, ZORAN · 2011 to 2015
$3.3M
1/3 - Sequencing Autism Spectrum Disorder Extended PedigreesR01MH094400 · NIMH · UNIVERSITY OF UTAH · PI COON, HILARY · 2012 to 2016
$1.5M
2/3 Sequencing Autism Spectrum Disorder Extended PedigreesR01MH094293 · NIMH · UNIVERSITY OF WASHINGTON · PI WIJSMAN, ELLEN M · 2012 to 2016
$1.1M
Identifying Alzheimer's disease genes using genomic and family dataR00AG040184 · NIA · UNIVERSITY OF WASHINGTON · PI BLUE, ELIZABETH ELOYCE · 2013 to 2016
$746k
NIA NIH HHS R00 AG040184NICHD NIH HHS U54 HD083091NIMH NIH HHS R01 MH092367NIMH NIH HHS R01 MH094293NIMH NIH HHS R01 MH094400
6 · The paper itself

Abstract

Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders, characterized by impairment in communication and social interactions, and by repetitive behaviors. ASDs are highly heritable, and estimates of the number of risk loci range from hundreds to >1000. We considered 7 extended families (size 12-47 individuals), each with ≥3 individuals affected by ASD. All individuals were genotyped with dense SNP panels. A small subset of each family was typed with whole exome sequence (WES). We used a 3-step approach for variant identification. First, we used family-specific parametric linkage analysis of the SNP data to identify regions of interest. Second, we filtered variants in these regions based on frequency and function, obtaining exactly 200 candidates. Third, we compared two approaches to narrowing this list further. We used information from the SNP data to impute exome variant dosages into those without WES. We regressed affected status on variant allele dosage, using pedigree-based kinship matrices to account for relationships. The p value for the test of the null hypothesis that variant allele dosage is unrelated to phenotype was used to indicate strength of evidence supporting the variant. A cutoff of p = 0.05 gave 28 variants. As an alternative third filter, we required Mendelian inheritance in those with WES, resulting in 70 variants. The imputation- and association-based approach was effective. We identified four strong candidate genes for ASD (SEZ6L, HISPPD1, FEZF1, SAMD11), all of which have been previously implicated in other studies, or have a strong biological argument for their relevance.

Indexed as

Autism Spectrum DisorderExomeEye ProteinsFemaleGene FrequencyGenes, DominantGenetic Association StudiesGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMaleMembrane ProteinsModels, GeneticPhosphotransferases (Phosphate Group Acceptor)Polymorphism, Single NucleotideRepressor ProteinsEye ProteinsFEZF1 protein, humanMembrane ProteinsPhosphotransferases (Phosphate Group Acceptor)PPIP5K2 protein, humanRepressor ProteinsSAMD11 protein, humanSEZ6L protein, humanTranscription Factors

Identifiers

PMID26204995
PMCPMC4578871
OpenAlexW998272963

What OpenQuestion holds

Textmetadata
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Registered trials

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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.