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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/53323

Title: Association of serotonin and dopamine gene pathways with behavioural subphenotypes in dementia.
Author: GILL, MICHAEL
Author's Homepage: http://people.tcd.ie/mgill
Keywords: Neuroscience
Alzheimer's disease
Issue Date: 2012
Citation: Proitsi P, Lupton MK, Reeves SJ, Hamilton G, Archer N, Martin BM, Lyegbe C, Hollingworth P, Lawlor B, Gill M, Brayne C, Rubinsztein DC, Owen MJ, Williams J, Lovestone S, Powell JF., Association of serotonin and dopamine gene pathways with behavioural subphenotypes in dementia., Neurobiology of Aging, 33, 4, 2012, 791-803
Series/Report no.: Neurobiology of Aging
33
4
Abstract: Genetic association studies investigating the association between genes of serotonergic and dopaminergic systems and behavioral and psychological symptoms in dementia (BPSD) are contradictory. We have utilized 1008 probable Alzheimer's disease (AD) patients from the UK and used the 12-item Neuropsychiatric Inventory. We applied a multiple indicators-multiple causes (MIMIC) approach to investigate the effect of 11 polymorphisms on the 4 behavioral subphenotypes "psychosis", "moods", "agitation", and "behavioural dyscontrol". Significant associations were observed between the serotonin transporter gene (SERT) polymorphism STin2 and "psychosis"; the dopamine transporter gene (DAT) 3' variable number tandem repeats (VNTR) and "agitation"; and the dopamine receptor 4 (DRD4) VNTR and "moods" factors. Direct associations were identified between the dopamine receptor 3 (DRD3) BalI polymorphism and depression; the dopamine receptor 1 (DRD1) and dopamine transporter gene 3' VNTR polymorphisms and aberrant motor behavior; the DRD4 VNTR and sleep disturbances; and the SERT gene VNTR 5HTTLPR and apathy items. Significant interactions observed between polymorphisms suggested epistatic effects and interactions between polymorphisms and medications highlighted potential treatment response. This multiple indicators multiple causes (MIMIC) model efficiently captured the complexity of the interrelations between genetic variation, behavioral symptoms, and clinical variables.
Description: PUBLISHED
pmid:20685009
URI: http://hdl.handle.net/2262/53323
Related links: http://dx.doi.org/10.1016/j.neurobiolaging.2010.06.011
Appears in Collections:Psychiatry (Scholarly Publications)

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