Publications by authors named "K Lehto"
Antidepressants exhibit a considerable variation in efficacy, and increasing evidence suggests that individual genetics contribute to antidepressant treatment response. Here, we combined data on antidepressant non-response measured using rating scales for depressive symptoms, questionnaires of treatment effect, and data from electronic health records, to increase statistical power to detect genomic loci associated with non-response to antidepressants in a total sample of 135,471 individuals prescribed antidepressants (25,255 non-responders and 110,216 responders). We performed genome-wide association meta-analyses, genetic correlation analyses, leave-one-out polygenic prediction, and bioinformatics analyses for genetically informed drug prioritization.
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- * Both male and female schizophrenia patients faced higher risks of all-cause mortality, suicide, and natural causes, but no significant differences were found between the sexes in these risks.
- * Young females (<40) showed a notably higher mortality risk compared to older females, while males faced a much greater risk of dying from neurological disorders than females, indicating a need for better healthcare interventions.
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- Low drug adherence significantly hampers the effectiveness of prescribed medications, making it crucial to understand the factors that lead to poor adherence and discontinuation of treatments.
- Analysis of data from over 1.8 million individuals reveals that socio-demographic factors, such as needing social assistance and immigration status, negatively impact medication adherence and persistence, while demographic and health factors show less consistent effects.
- Genetic factors show limited association with adherence, with some pharmacogenes linked to persistence; the study suggests that interventions targeting socio-economically disadvantaged populations could enhance medication uptake and overall health outcomes.
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- - Individuals with mental illness are at a higher risk for severe COVID-19 outcomes, but studies on their vaccination uptake have shown mixed results.
- - This research analyzed data from multiple cohort studies and Swedish registers to explore the relationship between mental illness and COVID-19 vaccination rates.
- - Findings revealed that while overall vaccine uptake was high in both groups, there was a slight decrease in vaccination rates among unmedicated individuals with mental illness, indicating a need for further investigation into this subgroup.
Article Synopsis
- - The study aimed to explore the genetic basis of major depressive disorder by analyzing symptoms across various clinical and community cohorts, acknowledging challenges like sample size differences and missing data patterns.
- - Researchers performed genome-wide association studies using data from both diagnosed and undiagnosed participants, fitting models to understand the relationships between different depressive symptoms.
- - Findings emphasized the relevance of symptom directionality (e.g., hypersomnia vs. insomnia) and the necessity of considering study design when analyzing genetic data related to depression.