Literature DB >> 23355297

The evolutionary paradox and the missing heritability of schizophrenia.

Jenny van Dongen1, Dorret I Boomsma.   

Abstract

Schizophrenia is one of the most detrimental common psychiatric disorders, occurring at a prevalence of approximately 1%, and characterized by increased mortality and reduced reproduction, especially in men. The heritability has been estimated around 70% and the genome-wide association meta-analyses conducted by the Psychiatric Genomics Consortium have been successful at identifying an increasing number of risk loci. Various theories have been proposed to explain why genetic variants that predispose to schizophrenia persist in the population, despite the fitness reduction in affected individuals, a question known as the evolutionary paradox. In this review, we consider evolutionary perspectives of schizophrenia and of the empirical evidence that may support these perspectives. Proposed evolutionary explanations include balancing selection, fitness trade-offs, fluctuating environments, sexual selection, mutation-selection balance and genomic conflicts. We address the expectations about the genetic architecture of schizophrenia that are predicted by different evolutionary scenarios and discuss the implications for genetic studies. Several potential sources of "missing" heritability, including gene-environment interactions, epigenetic variation, and rare genetic variation are examined from an evolutionary perspective. A better understanding of evolutionary history may provide valuable clues to the genetic architecture of schizophrenia and other psychiatric disorders, which is highly relevant to genetic studies that aim to detect genetic risk variants.
Copyright © 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23355297     DOI: 10.1002/ajmg.b.32135

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  33 in total

1.  Influence of DGKH variants on amygdala volume in patients with bipolar affective disorder and schizophrenia.

Authors:  S Kittel-Schneider; T Wobrock; H Scherk; T Schneider-Axmann; S Trost; D Zilles; C Wolf; A Schmitt; B Malchow; A Hasan; M Backens; W Reith; P Falkai; O Gruber; A Reif
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-06-24       Impact factor: 5.270

2.  Genomic and network patterns of schizophrenia genetic variation in human evolutionary accelerated regions.

Authors:  Ke Xu; Eric E Schadt; Katherine S Pollard; Panos Roussos; Joel T Dudley
Journal:  Mol Biol Evol       Date:  2015-02-12       Impact factor: 16.240

3.  Mating, sexual selection, and the evolution of schizophrenia.

Authors:  Marco Del Giudice
Journal:  World Psychiatry       Date:  2017-06       Impact factor: 49.548

4.  Opposite risk patterns for autism and schizophrenia are associated with normal variation in birth size: phenotypic support for hypothesized diametric gene-dosage effects.

Authors:  Sean G Byars; Stephen C Stearns; Jacobus J Boomsma
Journal:  Proc Biol Sci       Date:  2014-11-07       Impact factor: 5.349

Review 5.  Genetic psychophysiology: advances, problems, and future directions.

Authors:  Andrey P Anokhin
Journal:  Int J Psychophysiol       Date:  2014-04-13       Impact factor: 2.997

Review 6.  Positive Traits in the Bipolar Spectrum: The Space between Madness and Genius.

Authors:  Tiffany A Greenwood
Journal:  Mol Neuropsychiatry       Date:  2016-12-09

Review 7.  Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences.

Authors:  Ryan Bogdan; David A A Baranger; Arpana Agrawal
Journal:  Annu Rev Clin Psychol       Date:  2018-05-07       Impact factor: 18.561

Review 8.  Curtailing the communicability of psychiatric disorders.

Authors:  Milton L Wainberg; Liat Helpman; Cristiane S Duarte; Sten H Vermund; Jennifer J Mootz; Lidia Gouveia; Maria A Oquendo; Karen McKinnon; Francine Cournos
Journal:  Lancet Psychiatry       Date:  2018-10-10       Impact factor: 27.083

9.  Genomics at cellular resolution: insights into cognitive disorders and their evolution.

Authors:  Stefano Berto; Yuxiang Liu; Genevieve Konopka
Journal:  Hum Mol Genet       Date:  2020-09-30       Impact factor: 6.150

10.  A genetic variant in CAMKK2 gene is possibly associated with increased risk of bipolar disorder.

Authors:  Minoo Atakhorrami; Simin Rahimi-Aliabadi; Javad Jamshidi; Elham Moslemi; Abolfazl Movafagh; Mina Ohadi; Arash Mirabzadeh; Babak Emamalizadeh; Hamid Ghaedi; Fatemeh Gholipour; Atena Fazeli; Marzieh Motallebi; Shaghayegh Taghavi; Azadeh Ahmadifard; Saeed Mohammadihosseinabad; Amir Ehtesham Shafiei Zarneh; Neda Shahmohammadibeni; Faranak Madadi; Monavvar Andarva; Hossein Darvish
Journal:  J Neural Transm (Vienna)       Date:  2015-09-09       Impact factor: 3.575

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