Publications by authors named "M Kuokkanen"

Article Synopsis
  • The study tackles the challenges of understanding major depressive disorder (MDD) by examining multimorbidities to identify specific subtypes influenced by genetic and non-genetic factors.
  • The researchers analyzed data from 1.2 million individuals across the UK, Finland, and Spain, using dynamic Bayesian network approaches to discover seven distinct clusters of disease burdens linked to MDD.
  • Findings highlight the importance of inflammatory processes and suggest that personalized treatments for MDD could be developed based on the unique profiles of patients' genetic and clinical risk factors.
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Background: Comprehensive management of multimorbidity can significantly benefit from advanced health risk assessment tools that facilitate value-based interventions, allowing for the assessment and prediction of disease progression. Our study proposes a novel methodology, the Multimorbidity-Adjusted Disability Score (MADS), which integrates disease trajectory methodologies with advanced techniques for assessing interdependencies among concurrent diseases. This approach is designed to better assess the clinical burden of clusters of interrelated diseases and enhance our ability to anticipate disease progression, thereby potentially informing targeted preventive care interventions.

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Article Synopsis
  • Major depressive disorder (MDD) has diverse comorbidities that complicate understanding its biological mechanisms; previous research identified seven clusters based on genetic and environmental risk factors.
  • Our study analyzed data from over 77,000 participants to explore gene-by-environment interactions, specifically focusing on childhood trauma's impact within these clusters.
  • Significant genetic findings included unique SNPs associated with high-comorbidity clusters, while established candidates for childhood maltreatment and depression were also replicated, confirming links between genetic risk and trauma exposure.
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Article Synopsis
  • X-chromosomal genetic variants can provide important information about differences in human traits and diseases between sexes.
  • A large-scale study analyzed kidney-related traits in nearly 909,000 individuals, finding 23 genetic loci linked to uric acid levels and estimated glomerular filtration rate (eGFR), including four new genes that may play a role in kidney function.
  • The research also discovered five novel sex-specific interactions, with variations showing different effects in males and females, and highlighted genes that are responsive to androgens (male hormones), indicating a complex relationship between sex and kidney-related genetics.
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Dyslipidemia associates with and usually precedes the onset of chronic kidney disease (CKD), but a comprehensive assessment of molecular lipid species associated with risk of CKD is lacking. Here, we sought to identify fasting plasma lipids associated with risk of CKD among American Indians in the Strong Heart Family Study, a large-scale community-dwelling of individuals, followed by replication in Mexican Americans from the San Antonio Family Heart Study and Caucasians from the Australian Diabetes, Obesity and Lifestyle Study. We also performed repeated measurement analysis to examine the temporal relationship between the change in the lipidome and change in kidney function between baseline and follow-up of about five years apart.

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