Evidence map›Paper›PMID 21855053›Full record

ArticleBiological psychiatry2011

De novo rates and selection of schizophrenia-associated copy number variants.

Elliott Rees, Valentina Moskvina, Michael J Owen, Michael C O'Donovan, George Kirov

Abstract read
PubMed Publisher
In one paragraph

Article in Biological psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. De novo mutation in schizophrenia.Schizophrenia bulletin · 2012
    Pooled it
  2. Review
  3. Atypical cortical networks in children at high-genetic risk of psychiatric and neurodevelopmental disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  4. Review
  5. Genomic insights into schizophrenia.Royal Society open science · 2023
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Population-based identity-by-descent mapping combined with exome sequencing to detect rare risk variants for schizophrenia.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2019
    Article
  15. Article
  16. Mutation intolerant genes and targets of FMRP are enriched for nonsynonymous alleles in schizophrenia.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Article
  17. Article
  18. Review
  19. Review
  20. Schizophrenia.Lancet (London, England) · 2016
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Elliott ReesDepartment of Psychological Medicine and Neurology, Medical Research Council, Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
Valentina Moskvina
Michael J Owen
Michael C O'Donovan
George Kirov

Funding

Medical Research Council G0800509
6 · The paper itself

Abstract

backgroundAt least 10 large and rare recurrent DNA copy number variants (CNVs) have been identified as risk factors for schizophrenia and other neurodevelopmental disorders. Because such conditions are associated with reduced fecundity, these pathogenic CNVs should be filtered out from the population by selection and must be replenished by de novo events.

methodsTo estimate the mutation rate (μ) for these CNVs and the selection pressure (s) against them, we first conducted a literature review on the rate of each of these CNVs in the population and the rate of their de novo occurrence. In each generation, the number of CNVs lost because of reduced fertility must be replenished by the same number of de novo CNVs. Therefore, the observed ratio of de novo versus all (inherited + de novo) CNVs approximates the selection coefficient (s) of that CNV. The mutation rate approximates to μ = s × q, where q is the frequency of the CNV in the population.

resultsHigh selection pressure operates at all these loci (s = .12 - .88), suggesting that following de novo occurrence, each of these CNVs persists in the population in only a few generations. The mutation rate for each CNV is high, affecting between 1:3500 and 1:30,000 individuals. The rarest CNVs have the highest selection coefficients.

conclusionsThe CNVs that increase risk to develop schizophrenia are caused by recent de novo mutations and are under strong selection pressure. They persist in the population because of high mutation rates.

Indexed as

Gene FrequencyMutation RateAlgorithmsDNA Copy Number VariationsHumansModels, BiologicalRisk FactorsSchizophreniaSelection, Genetic

Identifiers

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.