Evidence map›Paper›PMID 26390830›Full record

ArticleMolecular psychiatry2016

Genome-wide autozygosity is associated with lower general cognitive ability.

D P Howrigan, M A Simonson, G Davies, S E Harris, A Tenesa, J M Starr, D C Liewald, I J Deary, A McRae, M J Wright and 37 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Linking individual fitness to the evolution of cognition.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Phenome-wide Burden of Copy-Number Variation in the UK Biobank.American journal of human genetics · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Detection and quantification of inbreeding depression for complex traits from SNP data.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

47 authors at 20 institutions in 7 countries.

D P HowriganAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
M A SimonsonDivision of Data Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
G DaviesDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
S E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
A TenesaInstitute of Genetics and Molecular Medicine, MRC Human Genetics Unit, Western General Hospital, University of Edinburgh, Edinburgh, UK.
J M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
D C LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
I J DearyDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
A McRaeQueensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia.
M J WrightQueensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia.
G W MontgomeryQueensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia.
N HansellQueensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia.
N G MartinQueensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia.
A PaytonCentre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK.
M HoranCentre for Clinical and Cognitive Neurosciences, Institute of Brain Behaviour and Mental Health, University of Manchester, Salford Royal NHS Foundation Trust, Salford, UK.
W E OllierCentre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK.
A AbdellaouiDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
D I BoomsmaDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
P DeRosseDivision of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA.
E E M KnowlesDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
D C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
S DjurovicNORMENT, KG Jebsen Centre, Oslo, Norway.
I MelleNORMENT, KG Jebsen Centre, Oslo, Norway.
O A AndreassenNORMENT, KG Jebsen Centre, Oslo, Norway.
A ChristoforouK.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
V M SteenK.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
S L HellardK.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
K SundetNORMENT, KG Jebsen Centre, Oslo, Norway.
I ReinvangDepartment of Psychology, University of Oslo, Oslo, Norway.
T EspesethDepartment of Psychology, University of Oslo, Oslo, Norway.
A J LundervoldK.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway.
I GieglingDepartment of Psychiatry, University of Halle, Halle, Germany.
B KonteDepartment of Psychiatry, University of Halle, Halle, Germany.
A M HartmannDepartment of Psychiatry, University of Halle, Halle, Germany.
D RujescuDepartment of Psychiatry, University of Halle, Halle, Germany.
P RoussosDepartment of Psychiatry, Friedman Brain Institute, Department of Genetics and Genomic Sciences, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
S GiakoumakiDepartment of Psychology, University of Crete, Rethymno, Crete, Greece.
K E BurdickDepartment of Psychiatry, Friedman Brain Institute, Department of Genetics and Genomic Sciences, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
P BitsiosDepartment of Psychiatry, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
G DonohoeSchool of Psychology, National University of Ireland Galway, Galway, Ireland.
R P CorleyInstitute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA.
P M VisscherCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
N PendletonCentre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK.
A K MalhotraDivision of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA.
B M NealeAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
T LenczDivision of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA.
M C KellerInstitute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA.
Oslo University Hospital · NOQIMR Berghofer Medical Research Institute · AUUniversity of Edinburgh · GBUniversity of Manchester · GBBroad Institute · USHaukeland University Hospital · NOIcahn School of Medicine at Mount Sinai · USThe University of Queensland · AUUniversity of Bergen · NOUniversity of Colorado Boulder · USUniversity of Oslo · NOWestern General Hospital · GBYale University · USZucker Hillside Hospital · USAlzheimer Scotland · GBAmsterdam Public Health · NLFoundation for Research and Technology Hellas · GRHofstra University · USMassachusetts Institute of Technology · USOllscoil na Gaillimhe – University of Galway · IE

Funding

Striatal D2/D3 Dopamine receptor availability in first episode schizophreniaP50MH080173 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI GOLDBERG, TERRY · 2008 to 2012
$10.4M
Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Common and Rare Genetic Factors in an Ethnically Homogeneous Schizophrenia CohortRC2MH089964 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI LENCZ, TODD · 2009 to 2010
$3.5M
Influence of Psychosis on Brain-Behavior Endophenotypes for Bipolar DisorderR01MH080912 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2012
$2.6M
Understanding the Neurocognitive Heterogeneity in Bipolar DisorderR01MH100125 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BURDICK, KATHERINE ELIZABETH · 2013 to 2017
$2.1M
Genetic Variation and Functional Disability in SchizophreniaR01MH079800 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI MALHOTRA, ANIL K · 2007 to 2011
$1.9M
Neurocognition as an endophenotype in bipolar disorderK23MH077807 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BURDICK, KATHERINE ELIZABETH · 2008 to 2012
$774k
Evolutionary Roles of Homozygosity & Copy Number Variation in Mental DisordersK01MH085812 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2010 to 2014
$751k
Biotechnology and Biological Sciences Research Council BB/F019394/1Biotechnology and Biological Sciences Research Council BB/F022441/1Chief Scientist Office ETM/55Medical Research Council G0100594Medical Research Council G0600237Medical Research Council G0700704Medical Research Council G0900753Medical Research Council G0901461Medical Research Council MR/K002279/1Medical Research Council MR/K026992/1NIMH NIH HHS K01 MH085812NIMH NIH HHS K23 MH077807NIMH NIH HHS P50 MH080173NIMH NIH HHS R01 MH079800NIMH NIH HHS R01 MH080912NIMH NIH HHS R01 MH100141NIMH NIH HHS RC2 MH089964
6 · The paper itself

Abstract

Inbreeding depression refers to lower fitness among offspring of genetic relatives. This reduced fitness is caused by the inheritance of two identical chromosomal segments (autozygosity) across the genome, which may expose the effects of (partially) recessive deleterious mutations. Even among outbred populations, autozygosity can occur to varying degrees due to cryptic relatedness between parents. Using dense genome-wide single-nucleotide polymorphism (SNP) data, we examined the degree to which autozygosity associated with measured cognitive ability in an unselected sample of 4854 participants of European ancestry. We used runs of homozygosity-multiple homozygous SNPs in a row-to estimate autozygous tracts across the genome. We found that increased levels of autozygosity predicted lower general cognitive ability, and estimate a drop of 0.6 s.d. among the offspring of first cousins (P=0.003-0.02 depending on the model). This effect came predominantly from long and rare autozygous tracts, which theory predicts as more likely to be deleterious than short and common tracts. Association mapping of autozygous tracts did not reveal any specific regions that were predictive beyond chance after correcting for multiple testing genome wide. The observed effect size is consistent with studies of cognitive decline among offspring of known consanguineous relationships. These findings suggest a role for multiple recessive or partially recessive alleles in general cognitive ability, and that alleles decreasing general cognitive ability have been selected against over evolutionary time.

Indexed as

AdultAllelesChromosome MappingCognitionFemaleGenome, HumanGenome-Wide Association StudyHomozygoteHumansInbreeding DepressionMalePolymorphism, Single NucleotideWhite People

Identifiers

PMID26390830
PMCPMC4803638
OpenAlexW1963057732

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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.