Evidence map›Paper›PMID 29187259›Full record

ArticleGenome medicine2017

Impact of IQ on the diagnostic yield of chromosomal microarray in a community sample of adults with schizophrenia.

Chelsea Lowther, Daniele Merico, Gregory Costain, Jack Waserman, Kerry Boyd, Abdul Noor, Marsha Speevak, Dimitri J Stavropoulos, John Wei, Anath C Lionel and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Copy Number Variations in Neuropsychiatric Disorders.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Translational Study of Copy Number Variations in Schizophrenia.International journal of molecular sciences · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Schizophrenia and education in Chinese metropolises: a population-based study.Social psychiatry and psychiatric epidemiology · 2020
    Article
  14. Article
  15. Article
  16. Elucidating the diagnostic odyssey of 22q11.2 deletion syndrome.American journal of medical genetics. Part A · 2018
    Article
  17. 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

13 authors at 5 institutions in 1 country.

Chelsea LowtherClinical Genetics Research Program, Centre for Addiction and Mental Health, 33 Russell Street, Room 1100, Toronto, ON, Canada, M5S 2S1.
Daniele MericoDeep Genomics Inc, Toronto, ON, Canada.
Gregory CostainClinical Genetics Research Program, Centre for Addiction and Mental Health, 33 Russell Street, Room 1100, Toronto, ON, Canada, M5S 2S1.
Jack WasermanHumber River Regional Hospital, Toronto, ON, Canada.
Kerry BoydDepartment of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Abdul NoorLaboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Marsha SpeevakLaboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Dimitri J StavropoulosLaboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
John WeiThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Anath C LionelThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Christian R MarshallThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Stephen W SchererThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Anne S BassettClinical Genetics Research Program, Centre for Addiction and Mental Health, 33 Russell Street, Room 1100, Toronto, ON, Canada, M5S 2S1. anne.bassett@utoronto.ca.
University of Toronto · CAHospital for Sick Children · CACentre for Addiction and Mental Health · CAHumber River Regional Hospital · CAMcMaster University · CA

Funding

CIHR 111238CIHR 382119CIHR 97800
6 · The paper itself

Abstract

backgroundSchizophrenia is a severe psychiatric disorder associated with IQ deficits. Rare copy number variations (CNVs) have been established to play an important role in the etiology of schizophrenia. Several of the large rare CNVs associated with schizophrenia have been shown to negatively affect IQ in population-based controls where no major neuropsychiatric disorder is reported. The aim of this study was to examine the diagnostic yield of microarray testing and the functional impact of genome-wide rare CNVs in a community ascertained cohort of adults with schizophrenia and low (< 85) or average (≥ 85) IQ.

methodsWe recruited 546 adults of European ancestry with schizophrenia from six community psychiatric clinics in Canada. Each individual was assigned to the low or average IQ group based on standardized tests and/or educational attainment. We used rigorous methods to detect genome-wide rare CNVs from high-resolution microarray data. We compared the burden of rare CNVs classified as pathogenic or as a variant of unknown significance (VUS) between each of the IQ groups and the genome-wide burden and functional impact of rare CNVs after excluding individuals with a pathogenic CNV.

resultsThere were 39/546 (7.1%; 95% confidence interval [CI] = 5.2-9.7%) schizophrenia participants with at least one pathogenic CNV detected, significantly more of whom were from the low IQ group (odds ratio [OR] = 5.01 [2.28-11.03], p = 0.0001). Secondary analyses revealed that individuals with schizophrenia and average IQ had the lowest yield of pathogenic CNVs (n = 9/325; 2.8%), followed by those with borderline intellectual functioning (n = 9/130; 6.9%), non-verbal learning disability (n = 6/29; 20.7%), and co-morbid intellectual disability (n = 15/62; 24.2%). There was no significant difference in the burden of rare CNVs classified as a VUS between any of the IQ subgroups. There was a significantly (p=0.002) increased burden of rare genic duplications in individuals with schizophrenia and low IQ that persisted after excluding individuals with a pathogenic CNV.

conclusionsUsing high-resolution microarrays we were able to demonstrate for the first time that the burden of pathogenic CNVs in schizophrenia differs significantly between IQ subgroups. The results of this study have implications for clinical practice and may help inform future rare variant studies of schizophrenia using next-generation sequencing technologies.

Indexed as

IntelligenceAdultDNA Copy Number VariationsFemaleGenetic TestingHumansIntelligence TestsMaleOligonucleotide Array Sequence AnalysisSchizophreniaCognitive deficitCopy number variationDeletionDuplicationIntellectual disabilityIQITPR1NeurodevelopmentSchizophreniaSUMF1

Identifiers

PMID29187259
PMCPMC5708103
OpenAlexW2769257088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.