scholarly journals Genetic comorbidity between major depression and cardio-metabolic disease, stratified by age at onset of major depression

2019 ◽  
Author(s):  
SP Hagenaars ◽  
JRI Coleman ◽  
S Choi ◽  
H Gaspar ◽  
MJ Adams ◽  
...  

AbstractIntroductionIt’s imperative to understand the specific and shared aetiologies of major depression and cardio-metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio-metabolic traits and if this association is stratified by age at onset for major depression.MethodsPolygenic risk scores analysis and linkage disequilibrium score regression was performed to examine whether differences in shared genetic aetiology exist between depression case control status (N cases = 40,940, N controls = 67,532), earlier (N = 15,844), and later onset depression (N = 15,800) with body mass index, coronary artery disease, stroke, and type 2 diabetes in eleven data sets from the Psychiatric Genomics Consortium, Generation Scotland, and UK Biobank.ResultsAll cardio-metabolic polygenic risk scores were associated with depression status. Significant genetic correlations were found between depression and body mass index, coronary artery disease, and type 2 diabetes. Higher polygenic risk for body mass index, coronary artery disease and type 2 diabetes was associated with both early and later onset depression, while higher polygenic risk for stroke was associated with later onset depression only. Significant genetic correlations were found between body mass index and later onset depression, and between coronary artery disease and both early and late onset depression.ConclusionsThe phenotypic associations between major depression and cardio-metabolic traits may partly reflect their overlapping genetic aetiology irrespective of the age depression first presents.

2020 ◽  
Vol 13 (6) ◽  
Author(s):  
Natalie R. van Zuydam ◽  
Claes Ladenvall ◽  
Benjamin F. Voight ◽  
Rona J. Strawbridge ◽  
Juan Fernandez-Tajes ◽  
...  

Background: Coronary artery disease (CAD) is accelerated in subjects with type 2 diabetes mellitus (T2D). Methods: To test whether this reflects differential genetic influences on CAD risk in subjects with T2D, we performed a systematic assessment of genetic overlap between CAD and T2D in 66 643 subjects (27 708 with CAD and 24 259 with T2D). Variants showing apparent association with CAD in stratified analyses or evidence of interaction were evaluated in a further 117 787 subjects (16 694 with CAD and 11 537 with T2D). Results: None of the previously characterized CAD loci was found to have specific effects on CAD in T2D individuals, and a genome-wide interaction analysis found no new variants for CAD that could be considered T2D specific. When we considered the overall genetic correlations between CAD and its risk factors, we found no substantial differences in these relationships by T2D background. Conclusions: This study found no evidence that the genetic architecture of CAD differs in those with T2D compared with those without T2D.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1490-P
Author(s):  
CHRISTOPH H. SAELY ◽  
ALEXANDER VONBANK ◽  
CHRISTINE HEINZLE ◽  
DANIELA ZANOLIN ◽  
BARBARA LARCHER ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 449-P
Author(s):  
TAKESHI KOMATSU ◽  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
TAKAAKI SATO ◽  
MASARU KITAZAWA ◽  
...  

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