Cited by 138Genetic Associations and EpidemiologySchizophrenia research and treatmentGenetic Mapping and Diversity in Plants and Animals

Evidence-based psychiatric genetics, AKA the false dichotomy between common and rare variant hypotheses

Visscher, P M, Goddard, M E, Derks, E M, Wray, N R·2012·Molecular Psychiatry

Abstract

In this article, we review some of the data that contribute to our understanding of the genetic architecture of psychiatric disorders. These include results from evolutionary modelling (hence no data), the observed recurrence risk to relatives and data from molecular markers. We briefly discuss the common-disease common-variant hypothesis, the success (or otherwise) of genome-wide association studies, the evidence for polygenic variance and the likely success of exome and whole-genome sequencing studies. We conclude that the perceived dichotomy between 'common' and 'rare' variants is not only false, but unhelpful in making progress towards increasing our understanding of the genetic basis of psychiatric disorders. Strong evidence has been accumulated that is consistent with the contribution of many genes to risk of disease, across a wide range of allele frequencies and with a substantial proportion of genetic variation in the population in linkage disequilibrium with single-nucleotide polymorphisms (SNPs) on commercial genotyping arrays. At the same time, most causal variants that segregate in the population are likely to be rare and in total these variants also explain a significant proportion of genetic variation. It is the combination of allele frequency, effect size and functional characteristics that will determine the success of new experimental paradigms such as whole exome/genome sequencing to detect such loci. Empirical results suggest that roughly half the genetic variance is tagged by SNPs on commercial genome-wide chips, but that individual causal variants have a small effect size, on average. We conclude that larger experimental sample sizes are essential to further our understanding of the biology underlying psychiatric disorders.

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Crossref · 10.1038/mp.2011.65

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  • Knowledge of genetic architecture can help optimize gene discovery, including study design, ascertainment, and choice of genotyping technology.

    “Knowledge of genetic architecture can help optimize gene discovery (e.g., study design, ascertainment, and choice of genotyping technology) (Timpson et al., 2018; Visscher et al., 2012).”

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References 91 · Cited by 138

Authors
Visscher, P. M., Goddard, M. E., Derks, E. M., & Wray, N. R.
Affiliations
  • QIMR Berghofer Medical Research Institute (AU)
  • The University of Melbourne (AU)
  • University Medical Center Utrecht (NL)
Corresponding author
Visscher, P M
Venue
Molecular Psychiatry
Published
2011-06-14
Volume
17
Issue
5
Pages
474-485
ISSN
  • 1359-4184 (ISSN-L)
  • 1476-5578
OpenAlex
W2048687970
Cited by
138
References
91
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 2 · 2020: 6 · 2019: 7 · 2018: 8 · 2017: 4 · 2016: 7 · 2015: 17 · 2014: 21 · 2013: 27 · 2012: 26
FWCI
2.63
Type
journal article
Language
en
Open access
closed
Locations
  • Molecular Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
psychiatric genetics, common disease-common variant hypothesis, rare variants, genome-wide association study, linkage disequilibrium, single nucleotide polymorphisms, whole genome sequencing, exome sequencing, recurrence risk, allele frequency, effect size, sample size
MeSH terms
Mental Disorders, Humans, Polymorphism, Genetic, Genetic Predisposition to Disease, Multifactorial Inheritance

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