Association analysis of monoamine genes with measures of depression and anxiety in a selected community sample of siblings
Autor: | Ian W. Craig, Shaun Purcell, P Huezo-Diaz, M W Nash, Richard Williamson, Pak C. Sham, Abram Sterne, Karen Sugden |
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Rok vydání: | 2005 |
Předmět: |
Male
Candidate gene Genotype Biology Tryptophan Hydroxylase Cellular and Molecular Neuroscience Gene Frequency Surveys and Questionnaires Genetic predisposition medicine Receptor Serotonin 5-HT2C Humans Genetic Predisposition to Disease Sibling Monoamine Oxidase Genetics (clinical) Depression (differential diagnoses) Alleles Genetic association Depressive Disorder Siblings Neuroticism Anxiety Disorders Psychiatry and Mental health Phenotype Receptor Serotonin 5-HT1D Receptor Serotonin 5-HT1B Microsatellite Anxiety Female medicine.symptom Clinical psychology Microsatellite Repeats |
Zdroj: | American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics. (1) |
ISSN: | 1552-4841 |
Popis: | Evidence indicates the genetic susceptibility to depression and anxiety is both overlapping and dimensional. In the current study, a quantitative phenotype had been created from several depression and anxiety-related measures in order to index this common genetic susceptibility (G). This has been studied in 119 sibships comprising 312 individuals, selected for extreme scores on G, from a community-based sample of 34,371 individuals. In a pathway based candidate gene study, we examined five microsatellite markers located within or nearby to five serotonin system genes (5HT2C, 5HT1D, 5HT1B, TPH1, and MAOB). Statistical analysis, carried out using QTDT, gave a significant association with a microsatellite downstream of TPH1. Further analysis included a life-events composite as a co-variable, this lead to a stronger association of TPH1. To our knowledge, this is the first study to report an association of the 3' end of TPH1 with continuous measures of depression and anxiety. |
Databáze: | OpenAIRE |
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