Literature DB >> 16257094

Genetic correlates of behavioral endophenotypes in Alzheimer disease: role of COMT, 5-HTTLPR and APOE polymorphisms.

B Borroni1, M Grassi, C Agosti, C Costanzi, S Archetti, S Franzoni, C Caltagirone, M Di Luca, L Caimi, A Padovani.   

Abstract

Several studies have been conducted to understand the genetic correlates of Alzheimer disease (AD)-related behavioral and psychological symptoms in dementia (BPSD). However, given that BPSD rarely occur in isolation, it has been suggested that targeting BPSD individually is too narrow of an approach if one wants to accurately define all the associated risk factors. To date, we know of no work on genetic polymorphisms related to behavioral endophenotypes in AD. The present study sought to evaluate the relationship between such behavioral endophenotypes in AD and genetic variations in dopamine- or serotonin-related genes, such as catechol-O-methyltransferase (COMT) or 5-HTT gene-linked promoter region (5-HTTLPR), and apolipoprotein E (APOE). Among 232 AD patients who underwent clinical and neuropsychological examination, a behavioral and psychiatric evaluation, and genotyping at COMT, 5-HTTPLR, and APOE; 66.4% showed more than one behavioral symptom. By Principal Component Analysis of Neuropsychiatric Inventory (NPI) symptoms four endophenotypes were identified, these were termed "psychosis", "moods", "apathy", and "frontal". Modeling NPI symptom-endophenotype-genotype relationships, and taking into account possible confounds (i.e. demographic characteristics, comorbidities, concomitant pharmacological treatments, and disease severity) by latent variable models, COMT and 5-HTTLPR genetic variations correlated with "frontal" and "psychosis" endophenotypes. APOE genotype did not correlate with any endophenotype. These findings suggest that the possibility of identifying distinct phenotypes on a genetic basis among AD patients exists, and suggest that clustering of BPSD into endophenotypes might provide a new strategy for guiding future research on this issue.

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Year:  2005        PMID: 16257094     DOI: 10.1016/j.neurobiolaging.2005.09.029

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  25 in total

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