Evidence map›Paper›PMID 21383861›Full record

ArticlePLoS genetics2011

A population genetic approach to mapping neurological disorder genes using deep resequencing.

Rachel A Myers, Ferran Casals, Julie Gauthier, Fadi F Hamdan, Jon Keebler, Adam R Boyko, Carlos D Bustamante, Amelie M Piton, Dan Spiegelman, Edouard Henrion and 9 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
8.2field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Glutamatergic candidate genes in autism spectrum disorder: an overview.Journal of neural transmission (Vienna, Austria : 1996) · 2014
    Pooled it
  3. Pooled it
  4. Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Science advances · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Autism Spectrum Disorder: Focus on Glutamatergic Neurotransmission.International journal of molecular sciences · 2022
    Review
  15. Review
  16. Frontiers in synaptic neuroscience · 2022
    Review
  17. Review
  18. Review
  19. An Autism-AssociatedFrontiers in cellular neuroscience · 2021
    Article
  20. The Genetic Control of Stoichiometry Underlying Autism.Annual review of neuroscience · 2020
    Article
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

19 authors at 4 institutions in 2 countries.

Rachel A MyersDepartment of Pediatrics, University of Montreal, Montreal, Canada.
Ferran Casals
Julie Gauthier
Fadi F Hamdan
Jon Keebler
Adam R Boyko
Carlos D Bustamante
Amelie M Piton
Dan Spiegelman
Edouard Henrion
Martine Zilversmit
Julie Hussin
Jacklyn Quinlan
Yan Yang
Ronald G Lafrenière
Alexander R Griffing
Eric A Stone
Guy A Rouleau
Philip Awadalla
Université de Montréal · CANorth Carolina State University · USCentre Hospitalier de l’Université de Montréal · CAStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep resequencing of functional regions in human genomes is key to identifying potentially causal rare variants for complex disorders. Here, we present the results from a large-sample resequencing (n  =  285 patients) study of candidate genes coupled with population genetics and statistical methods to identify rare variants associated with Autism Spectrum Disorder and Schizophrenia. Three genes, MAP1A, GRIN2B, and CACNA1F, were consistently identified by different methods as having significant excess of rare missense mutations in either one or both disease cohorts. In a broader context, we also found that the overall site frequency spectrum of variation in these cases is best explained by population models of both selection and complex demography rather than neutral models or models accounting for complex demography alone. Mutations in the three disease-associated genes explained much of the difference in the overall site frequency spectrum among the cases versus controls. This study demonstrates that genes associated with complex disorders can be mapped using resequencing and analytical methods with sample sizes far smaller than those required by genome-wide association studies. Additionally, our findings support the hypothesis that rare mutations account for a proportion of the phenotypic variance of these complex disorders.

Indexed as

Genetics, PopulationChildChild Development Disorders, PervasiveChromosome MappingCohort StudiesFemaleGenetic LociHumansMaleMutationPolymorphism, Single NucleotideSchizophreniaSelection, GeneticSequence Analysis, DNA

Identifiers

PMID21383861
PMCPMC3044677
OpenAlexW1965970535

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.