Literature DB >> 9875952

Evolutionary epidemiology and manic depression.

D R Wilson1.   

Abstract

The reformulation of epidemiological prevalence rates as evolutionary frequency rates puts medical genetics within an explicit framework of Darwinian theory. Yet an enduring and still current assumption of genomic medicine is that genes associated with disease are necessarily maladapted. Indeed, it seems it could hardly be otherwise. However, evolutionary epidemiology has begun to uncover important and surprising counter-exemplary case-studies. Thus, the present aim is to first outline this emerging sub-discipline of 'evolutionary epidemiology'. Then, a major psychopathological syndrome--manic-depression--is examined in some detail within the purview of evolutionary epidemiology. Its medical genetics are those of an adaptive polymorphism in the human genome. Hence, genes associated with what is now a major public health problem accrued as they conferred selective advantage in phylogeny. Why should manic-depressive etiogenes have been selected? A preliminary anatomic-functional model, assembled from facts of human paleoneuropsychiatry, more adequately contextualises manic-depressive genomics and phenotypy. In this model, manic-depression finds its heuristic origins in a hierarchy of behavioural strategies stabilised in phylogeny and embedded at serial levels in the brain (Hawk-Dove ESS). A proportion of the population has variant genotypy which appears to have been favoured in social competition phylogenetically but express more pathogenic phenotypy in the current environment. The paper closes with a brief consideration of clinical practices and ethical issues as alternative considerations emerge with the syndrome recast in a more positive Darwinian light.

Entities:  

Mesh:

Year:  1998        PMID: 9875952     DOI: 10.1111/j.2044-8341.1998.tb00999.x

Source DB:  PubMed          Journal:  Br J Med Psychol        ISSN: 0007-1129


  8 in total

Review 1.  Using Evolutionary Theory to Guide Mental Health Research.

Authors:  Zachary Durisko; Benoit H Mulsant; Kwame McKenzie; Paul W Andrews
Journal:  Can J Psychiatry       Date:  2016-02-12       Impact factor: 4.356

2.  The role of the evolutionary approach in psychiatry.

Authors:  Riadh Abed; Martin Brüne; Daniel R Wilson
Journal:  World Psychiatry       Date:  2019-10       Impact factor: 49.548

3.  Does first episode polarity predict risk for suicide attempt in bipolar disorder?

Authors:  Sadia R Chaudhury; Michael F Grunebaum; Hanga C Galfalvy; Ainsley K Burke; Leo Sher; Ramin V Parsey; Benjamin Everett; J John Mann; Maria A Oquendo
Journal:  J Affect Disord       Date:  2007-04-16       Impact factor: 4.839

4.  Compassion Focused Group Therapy for People With a Diagnosis of Bipolar Affective Disorder: A Feasibility Study.

Authors:  Paul Gilbert; Jaskaran K Basran; Joanne Raven; Hannah Gilbert; Nicola Petrocchi; Simone Cheli; Andrew Rayner; Alison Hayes; Kate Lucre; Paschalina Minou; David Giles; Frances Byrne; Elizabeth Newton; Kirsten McEwan
Journal:  Front Psychol       Date:  2022-07-20

5.  Ten questions for evolutionary studies of disease vulnerability.

Authors:  Randolph M Nesse
Journal:  Evol Appl       Date:  2011-01-17       Impact factor: 5.183

6.  Bipolar disorder and neurophysiologic mechanisms.

Authors:  Simon M McCrea
Journal:  Neuropsychiatr Dis Treat       Date:  2008-12       Impact factor: 2.570

7.  Migratory sleeplessness in the white-crowned sparrow (Zonotrichia leucophrys gambelii).

Authors:  Niels C Rattenborg; Bruce H Mandt; William H Obermeyer; Peter J Winsauer; Reto Huber; Martin Wikelski; Ruth M Benca
Journal:  PLoS Biol       Date:  2004-07-13       Impact factor: 8.029

Review 8.  Toward a Deeper Understanding of the Genetics of Bipolar Disorder.

Authors:  Berit Kerner
Journal:  Front Psychiatry       Date:  2015-08-03       Impact factor: 4.157

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.