Evidence map›Paper›PMID 32348611›Full record

ReviewGenes, brain, and behavior2020

Using the tools of genetic epidemiology to understand sex differences in neuropsychiatric disorders.

Alison K Merikangas, Laura Almasy

Open access · hybridAbstract readReview
In one paragraph

Review in Genes, brain, and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 5% 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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Sex-biased computations underlying differential set shift performance in mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  11. Prior Diagnoses and Age of Diagnosis in Children Later Diagnosed with Autism.Journal of autism and developmental disorders · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Sex-Specific Genetic Architecture and Comorbidities of Alcohol Use Behaviors.medRxiv : the preprint server for health sciences · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Sex differences in anhedonia in bipolar depression: a resting-state fMRI study.European archives of psychiatry and clinical neuroscience · 2025
    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

2 authors at 1 institution in 1 country.

Alison K MerikangasDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2253-839X
Laura AlmasyDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-9184-8124
Children's Hospital of Philadelphia · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
Large-Scale Evaluation of the Effect of Rare Genetic Variants on Psychiatric Symptoms and Cognitive AbilityU01MH119690 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI ALMASY, LAURA A., GLAHN, DAVID C · 2019 to 2023
$5.9M
A Neurobehavioral Family Study of SchizophreniaR01MH061622 · NIMH · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 2001 to 2018
$4.9M
2/9: Dissecting the effects of genomic variants on neurobehavioral dimensions in CNVs enriched for neuropsychiatric disorders.U01MH119737 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI MCDONALD-MCGINN, DONNA MARIE · 2019 to 2023
$2.4M
Genetic Architecture of Autisms without Intellectual DisabilityR21MH120739 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BUCAN, MAJA · 2019 to 2020
$452k
NIAAA NIH HHS AA008401NIAAA NIH HHS U10 AA008401NIGMS NIH HHS R01 GM031575NIMH NIH HHS MH119690NIMH NIH HHS MH119737NIMH NIH HHS MH120739NIMH NIH HHS R01 MH061622NIMH NIH HHS R21 MH120739NIMH NIH HHS U01 MH119690NIMH NIH HHS U01 MH119737
6 · The paper itself

Abstract

Many neuropsychiatric disorders exhibit differences in prevalence, age of onset, symptoms or course of illness between males and females. For the most part, the origins of these differences are not well understood. In this article, we provide an overview of sex differences in psychiatric disorders including autism spectrum disorder (ASD), attention deficit/hyperactivity disorder (ADHD), anxiety, depression, alcohol and substance abuse, schizophrenia, eating disorders and risk of suicide. We discuss both genetic and nongenetic mechanisms that have been hypothesized to underlie these differences, including ascertainment bias, environmental stressors, X- or Y-linked risk loci, and differential liability thresholds in males and females. We then review the use of twin, family and genome-wide association approaches to study potential genetic mechanisms of sex differences and the extent to which these designs have been employed in studies of psychiatric disorders. We describe the utility of genetic epidemiologic study designs, including classical twin and family studies, large-scale studies of population registries, derived recurrence risks, and molecular genetic analyses of genome-wide variation that may enhance our understanding sex differences in neuropsychiatric disorders.

Indexed as

PedigreeSex CharacteristicsFemaleGenome-Wide Association StudyHumansMaleMental DisordersSex ChromosomesTwin Studies as Topicfamily studygenetic epidemiologymultifactorial polygenic modelpsychiatric disorderssex differencessubstance use disordertwin study

Identifiers

PMID32348611
PMCPMC7507200
OpenAlexW3020033934

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.