Literature DB >> 9315975

Anxiety and depressive symptoms in childhood--a genetic study of comorbidity.

A Thapar1, P McGuffin.   

Abstract

Anxiety and depressive symptoms commonly co-occur yet the underlying mechanisms for this covariation remain poorly understood. Genetic strategies are a useful means of investigating whether the comorbidity of two sets of symptoms or disorders can be explained by the same aetiological factors. In this paper we use a systematically ascertained sample of 172 twin pairs aged 8 to 16 years to examine the causes of covariation of maternally rated anxiety and depressive symptoms. The results suggest that most of the covariation can be explained by a common set of genes that influence anxiety and depressive symptoms. Some covariation between anxiety and depressive symptoms is also explained by environmental influences of the non-shared type. In addition, depressive symptoms also appear to be influenced by specific genetic factors.

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Year:  1997        PMID: 9315975     DOI: 10.1111/j.1469-7610.1997.tb01692.x

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  25 in total

Review 1.  Behavioral genetics as a tool for developmental psychology: anxiety and depression in children and adolescents.

Authors:  T C Eley
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2.  Comorbidity of Anxiety and Depression in Youth: Implications for Treatment and Prevention.

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5.  Depressive disorder in preschool children: patterns of affective organization.

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Review 6.  Emotion regulation in youth with emotional disorders: implications for a unified treatment approach.

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Review 7.  Genetic and environmental influences on psychiatric comorbidity: a systematic review.

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Review 8.  Comorbidity of anxiety and depression in children and adolescents: 20 years after.

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Review 9.  Gene-environment interaction and the genetics of depression.

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Review 10.  Pediatric depression: is there evidence to improve evidence-based treatments?

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Journal:  J Child Psychol Psychiatry       Date:  2009-01       Impact factor: 8.982

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