Literature DB >> 27732705

Exploring Boundaries for the Genetic Consequences of Assortative Mating for Psychiatric Traits.

Wouter J Peyrot1, Matthew R Robinson2, Brenda W J H Penninx3, Naomi R Wray2.   

Abstract

IMPORTANCE: Considerable partner resemblances have been found for a wide range of psychiatric disorders, meaning that partners of affected individuals have an increased risk of being affected compared with partners of unaffected individuals. If this resemblance is reflected in genetic similarity between partners, genetic risk is anticipated to accumulate in offspring, but these potential consequences have not been quantified and have been left implicit. OBSERVATIONS: The anticipated consequences of partner resemblance on prevalence and heritability of psychiatric traits in the offspring generation were modeled for disorders with varying heritabilities, population prevalence (lifetime risk), and magnitudes of partner resemblance. These models facilitate interpretation for a wide range of psychiatric disorders, such as autism, schizophrenia, and depression. The genetic consequences of partner resemblance are most pronounced when attributable to phenotypic assortment (driven by the psychiatric trait). Phenotypic assortment results in increased genetic variance in the offspring generation, which may result in increased heritability and population prevalence. These consequences add generation after generation to a limit, but assortative mating is unlikely to balance the impact of reduced fecundity of patients with psychiatric disorders in the long term. This modeling suggests that the heritabilities of psychiatric disorders are unlikely to increase by more than 5% from 1 generation of assortative mating (maximally 13% across multiple generations). The population prevalence will increase most for less common disorders with high heritability; for example, the prevalence of autism might increase by 1.5-fold after 1 generation of assortative mating (≥2.4-fold in the long term) depending on several assumptions. CONCLUSIONS AND RELEVANCE: The considerable partner resemblances found for psychiatric disorders deserve more detailed interpretation than has been provided thus far. Although the limitations of modeling are emphasized, the anticipated consequences are at most modest for the heritability but may be considerable for the population prevalence of rare disorders with a high heritability.

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Year:  2016        PMID: 27732705     DOI: 10.1001/jamapsychiatry.2016.2566

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  21 in total

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2.  From R.A. Fisher's 1918 Paper to GWAS a Century Later.

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3.  Evaluating the Impact of Nonrandom Mating: Psychiatric Outcomes Among the Offspring of Pairs Diagnosed With Schizophrenia and Bipolar Disorder.

Authors:  Ashley E Nordsletten; Gustaf Brander; Henrik Larsson; Paul Lichtenstein; James J Crowley; Patrick F Sullivan; Naomi R Wray; David Mataix-Cols
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4.  Genetic footprints of assortative mating in the Japanese population.

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Journal:  Nat Hum Behav       Date:  2022-09-22

5.  Evidence of partner similarity for autistic traits, systemizing, and theory of mind via facial expressions.

Authors:  Gareth Richards; Simon Baron-Cohen; Varun Warrier; Ben Mellor; Jessica Davies; Laura Gee; John Galvin
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6.  Maternal Effects as Causes of Risk for Obsessive-Compulsive Disorder.

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Review 7.  The genetics of bipolar disorder.

Authors:  Francis James A Gordovez; Francis J McMahon
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Review 8.  Genetic correlations of polygenic disease traits: from theory to practice.

Authors:  Wouter van Rheenen; Wouter J Peyrot; Andrew J Schork; S Hong Lee; Naomi R Wray
Journal:  Nat Rev Genet       Date:  2019-10       Impact factor: 53.242

9.  Assortative mating biases marker-based heritability estimators.

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Journal:  Nat Commun       Date:  2022-02-03       Impact factor: 17.694

10.  Shared Genetics and Couple-Associated Environment Are Major Contributors to the Risk of Both Clinical and Self-Declared Depression.

Authors:  Yanni Zeng; Pau Navarro; Charley Xia; Carmen Amador; Ana M Fernandez-Pujals; Pippa A Thomson; Archie Campbell; Reka Nagy; Toni-Kim Clarke; Jonathan D Hafferty; Blair H Smith; Lynne J Hocking; Sandosh Padmanabhan; Caroline Hayward; Donald J MacIntyre; David J Porteous; Chris S Haley; Andrew M McIntosh
Journal:  EBioMedicine       Date:  2016-11-04       Impact factor: 11.205

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