The team recently shared a genome-wide association study of metabolic markers on a preprint server (read it here). This study uncovered the largest number of genetic variants associated with these markers to date, revealing novel sex-specific effects that may contribute to the differences in cardiometabolic health between men and women.
Building on this, the latest research demonstrates substantial genetic overlap between metabolic markers and severe mental illnesses including major depression, bipolar disorder, and schizophrenia. Notably, while these disorders share high genetic correlations and comorbidities with cardiometabolic diseases, major depression shows an opposite relationship with the markers compared to bipolar disorder and schizophrenia.
The findings suggest that these metabolic markers exert widespread causal effects on psychiatric and cardiometabolic conditions, offering valuable insights into their shared and distinct etiologies. These results underscore the potential of metabolomics in disentangling the biological underpinnings of mental disorders and improving precision treatment strategies.
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