Literature DB >> 30606050

The Relationship Between Common Variant Schizophrenia Liability and Number of Offspring in the UK Biobank.

Valentina Escott-Price1, Antonio F Pardiñas1, Enrique Santiago1, James Walters1, George Kirov1, Michael J Owen1, Michael C O'Donovan1.   

Abstract

OBJECTIVE: Schizophrenia is associated with a marked reduction in reproductive success, yet alleles that are common contribute substantially to the liability of the disorder. Among several possible explanations for this, it has been postulated that individuals who carry risk alleles but are unaffected are at some reproductive advantage, offsetting the effects of negative selection among those who are affected. The authors sought to test this hypothesis, isolating the effects of risk alleles on fecundity from the effects that are contingent on expressing schizophrenia.
METHODS: The burden of schizophrenia risk alleles, as indexed by a polygenic risk score (PRS), carried by 139,679 participants in the UK Biobank study who did not have schizophrenia was compared with the number of offspring of these individuals.
RESULTS: Higher schizophrenia liability in study subjects without manifest disorder was weakly but significantly associated with having more children (B=0.006, 95% CI=0.002, 0.010). The relationship was dependent on sex, with a positive correlation between number of children and liability among females (B=0.011, 95% CI=0.006, 0.016), whereas among males, higher liability was associated with being childless (odds ratio=0.96, 95% CI=0.94, 0.98). The negative effect on number of children associated with schizophrenia itself was twofold to 15-fold greater than the positive effect associated with PRS in unaffected individuals.
CONCLUSIONS: These findings suggest that a complex relationship between liability and fecundity is consistent with sexual selection. Although the overall pattern of a weak positive correlation with liability may contribute to the persistence of schizophrenia risk alleles, these results indicate that the negative selection acting on individuals affected by schizophrenia in the general population is larger than any advantage conferred by genetic loading in unaffected individuals.

Entities:  

Keywords:  Fecundity; Genetics; Schizophrenia; Statistics

Mesh:

Year:  2019        PMID: 30606050     DOI: 10.1176/appi.ajp.2018.18020140

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  3 in total

1.  Magical thinking in individuals with high polygenic risk for schizophrenia but no non-affective psychoses-a general population study.

Authors:  Aino Saarinen; Leo-Pekka Lyytikäinen; Jarmo Hietala; Henrik Dobewall; Veikka Lavonius; Olli Raitakari; Mika Kähönen; Elina Sormunen; Terho Lehtimäki; Liisa Keltikangas-Järvinen
Journal:  Mol Psychiatry       Date:  2022-05-03       Impact factor: 15.992

2.  The shared genetic architecture of schizophrenia, bipolar disorder and lifespan.

Authors:  Gerard Muntané; Xavier Farré; Elena Bosch; Lourdes Martorell; Arcadi Navarro; Elisabet Vilella
Journal:  Hum Genet       Date:  2020-08-09       Impact factor: 4.132

Review 3.  The polygenic architecture of schizophrenia - rethinking pathogenesis and nosology.

Authors:  Olav B Smeland; Oleksandr Frei; Anders M Dale; Ole A Andreassen
Journal:  Nat Rev Neurol       Date:  2020-06-11       Impact factor: 42.937

  3 in total

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