To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Autoimmune thyroid disease (AITD) and major depressive disorder (MDD) are common genetic diseases. The comorbidity of AITD and MDD has been widely demonstrated by large amounts of epidemiological studies. However, the genetic architectures of the comorbidity remain unknown.
Methods:
We use large-scale GWAS summary data and novel genetic statistical methods to assess the genetic correlation and potential causality between AITD and MDD disorders. We perform cross-trait GWAS meta-analyses to identify genetic risk variants not previously associated with the individual traits. And we use summary-data-based mendelian randomisation to identify putative functional genes shared between diseases.
Results:
Both global and local genetic correlation study confirmed the genetic correlation of AITD and MDD. Through multi-trait analysis of GWAS (MTAG), we identified 112 SNPs associated with the conjoint phenotype, but not with individual traits. Mendelian randomisation confirmed the causal relationship between MDD (exposure) and AITD (outcome). The summary-based mendelian randomisation study found two plausible functional genes for AITD and MDD comorbidity.
Conclusions:
AITD and MDD are genetically correlated in global and local chromosomal regions. MR analyses support a putative casual effect of MDD on AITD risk, though residual pleiotropy or confounding cannot be fully excluded. These findings highlight the need for triangulation with experimental and longitudinal studies to confirm causality.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.