Title of article :
Candidate Gene Polymorphisms in the Serotonergic Pathway: Influence on Depression Symptomatology in an Elderly Population
Author/Authors :
Lene Christiansen، نويسنده , , Qihua Tan، نويسنده , , Maria Iachina، نويسنده , , Lise Bathum، نويسنده , , Torben A. Kruse، نويسنده , , Matthew McGue، نويسنده , , Kaare Christensen، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
8
From page :
223
To page :
230
Abstract :
Background Depressed mood is a major concern in the elderly, with consequences for morbidity and mortality. Previous studies have demonstrated that genetic factors in depression and subsyndromal depressive symptoms are no less important in the elderly than during other life stages. Variations in genes included in the serotonin system have been suggested as risk factors for various psychiatric disorders but may also serve as candidates for normal variations in mood. Methods This study included 684 elderly Danish twins to investigate the influence of 11 polymorphisms in 7 serotonin system genes on the mean level of depression symptomatology assessed over several years, reflecting individuals’ underlying mood level. Results A suggestive association of sequence variations in genes responsible for the synthesis (TPH), recognition (5-HTR2A), and degradation (MAOA) of serotonin with depression symptomatology was found, although the effect was generally restricted to men. We also found that a specific haplotype in VMAT2, the gene encoding the vesicular monoamine transporter, was significantly associated with depression symptoms in men (p = .007). Conclusions These results suggest that variations in genes encoding the components of serotonin metabolism may influence the basic mood level and that different genetic factors may apply in men and women.
Keywords :
Depression symptomatology , genetics , Mood disorders , polymorphisms , serotonin system
Journal title :
Biological Psychiatry
Serial Year :
2007
Journal title :
Biological Psychiatry
Record number :
503231
Link To Document :
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