Evidence map›Paper›PMID 24581740›Full record

ArticleAmerican journal of human genetics2014

A higher mutational burden in females supports a "female protective model" in neurodevelopmental disorders.

Sébastien Jacquemont, Bradley P Coe, Micha Hersch, Michael H Duyzend, Niklas Krumm, Sven Bergmann, Jacques S Beckmann, Jill A Rosenfeld, Evan E Eichler

Abstract read
In one paragraph

Article in American journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 324 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
324citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

324 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Does the Extreme Male Brain Hypothesis of Autism Apply More to Females Than Males? A Systematic and Meta-Analytic Approach.Autism research : official journal of the International Society for Autism Research · 2026
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  4. Potential of Salivary Biomarkers in Autism Research: A Systematic Review.International journal of molecular sciences · 2021
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264 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

9 authors.

Sébastien JacquemontService of Medical Genetics, University Hospital of Lausanne, University of Lausanne, Lausanne 1011, Switzerland. Electronic address: sebastien.jacquemont@chuv.ch.
Bradley P CoeDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Micha HerschDepartment of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland; Swiss institute of Bioinformatics, Lausanne 1015, Switzerland.
Michael H DuyzendDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Niklas KrummDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Sven BergmannDepartment of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland; Swiss institute of Bioinformatics, Lausanne 1015, Switzerland.
Jacques S BeckmannSwiss institute of Bioinformatics, Lausanne 1015, Switzerland.
Jill A RosenfeldSignature Genomic Laboratories LLC, PerkinElmer Inc., Spokane, WA 99207, USA.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute. Electronic address: eee@gs.washington.edu.

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Sporadic Mutations and Autism Spectrum DisordersR01MH101221 · NIMH · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2013 to 2025
$9.2M
NIGMS NIH HHS T32 GM007266NIMH NIH HHS MH101221NIMH NIH HHS R01 MH101221
6 · The paper itself

Abstract

Increased male prevalence has been repeatedly reported in several neurodevelopmental disorders (NDs), leading to the concept of a "female protective model." We investigated the molecular basis of this sex-based difference in liability and demonstrated an excess of deleterious autosomal copy-number variants (CNVs) in females compared to males (odds ratio [OR] = 1.46, p = 8 × 10(-10)) in a cohort of 15,585 probands ascertained for NDs. In an independent autism spectrum disorder (ASD) cohort of 762 families, we found a 3-fold increase in deleterious autosomal CNVs (p = 7 × 10(-4)) and an excess of private deleterious single-nucleotide variants (SNVs) in female compared to male probands (OR = 1.34, p = 0.03). We also showed that the deleteriousness of autosomal SNVs was significantly higher in female probands (p = 0.0006). A similar bias was observed in parents of probands ascertained for NDs. Deleterious CNVs (>400 kb) were maternally inherited more often (up to 64%, p = 10(-15)) than small CNVs < 400 kb (OR = 1.45, p = 0.0003). In the ASD cohort, increased maternal transmission was also observed for deleterious CNVs and SNVs. Although ASD females showed higher mutational burden and lower cognition, the excess mutational burden remained, even after adjustment for those cognitive differences. These results strongly suggest that females have an increased etiological burden unlinked to rare deleterious variants on the X chromosome. Carefully phenotyped and genotyped cohorts will be required for identifying the symptoms, which show gender-specific liability to mutational burden.

Indexed as

MutationAdolescentAdultAgedChild Development Disorders, PervasiveChromosomes, Artificial, BacterialCognition DisordersCohort StudiesDatabases, GeneticDevelopmental DisabilitiesDNA Copy Number VariationsDNA Mutational AnalysisFemaleGene DeletionGenotypeHumans

Identifiers

PMID24581740
PMCPMC3951938

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.