Harnessing the Power of Population Cohorts to Study the Relationship Between Endocrine-Metabolic Disorders and Depression

Jespersen et al discuss the study of Leone et al in which they utilized a population cohort of 2.2 million individuals born in Sweden and their first-degree relatives to characterize the genetic and environmental relationship between endocrine-metabolic disorders and depression. First, they examined...

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Bibliographic Details
Published in:The American journal of psychiatry 2022-11, Vol.179 (11), p.788-790
Main Authors: Jespersen, Anders, Yilmaz, Zeynep, Vilhjálmsson, Bjarni J.
Format: Article
Language:English
Subjects:
Depression - epidemiology
Diabetes
Genetics
Humans
Medicin och hälsovetenskap
Metabolic Diseases - epidemiology
Metabolic disorders
Polycystic ovary syndrome
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Summary:Jespersen et al discuss the study of Leone et al in which they utilized a population cohort of 2.2 million individuals born in Sweden and their first-degree relatives to characterize the genetic and environmental relationship between endocrine-metabolic disorders and depression. First, they examined the association between endocrine-metabolic disorders and depression in case subjects and the extent to which these conditions coaggregated in family members, who, to some degree, share both genetics and environment. Second, they performed a quantitative analysis using the siblings to estimate (additive) heritabilities, as well as genetic and environmental correlations between endocrine-metabolic disorders and depression. They found genetic correlations for the sibling pairs to be 0.31 between type 2 diabetes and depression, 0.21 between obesity and depression, and 0.34 between polycystic ovary syndrome (PCOS) and depression.
ISSN:0002-953X
1535-7228
1535-7228
DOI:10.1176/appi.ajp.20220798