Publications by authors named "R K Linner"
Article Synopsis
- This study focuses on treatment-resistant depression (TRD), which affects about one-third of major depressive disorder (MDD) patients, and aims to clarify its genetic basis since previous research hasn't pinpointed specific genetic markers.* -
- Researchers used electroconvulsive therapy (ECT) as an indicator of TRD and applied machine learning to analyze health records, performing a genome-wide association study involving over 154,000 patients in four large biobanks.* -
- The findings revealed low heritability estimates and identified two significant genetic loci associated with TRD, suggesting links to other traits like cognition and metabolism, which could have implications for future treatments.*
The German Socio-Economic Panel (SOEP) serves a global research community by providing representative annual longitudinal data of respondents living in private households in Germany. The dataset offers a valuable life course panorama, encompassing living conditions, socioeconomic status, familial connections, personality traits, values, preferences, health, and well-being. To amplify research opportunities further, we have extended the SOEP Innovation Sample (SOEP-IS) by collecting genetic data from 2,598 participants, yielding the first genotyped dataset for Germany based on a representative population sample (SOEP-G).
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to evaluate how polygenic scores (PGS) related to psychiatric disorders affect healthcare usage and the burden of comorbid conditions among a large group of participants with linked health records.
- Using data from approximately 118,882 individuals, researchers found that higher PGS for major depressive disorder was significantly associated with increased visits to emergency departments, inpatient services, and outpatient services, especially after a depression diagnosis.
- The results indicate that individuals with a higher genetic predisposition to depression tend to use more healthcare resources and experience greater comorbidity, although similar patterns were not observed for bipolar disorder and schizophrenia.
Behaviors and disorders characterized by difficulties with self-regulation, such as problematic substance use, antisocial behavior, and symptoms of attention-deficit/hyperactivity disorder (ADHD), incur high costs for individuals, families, and communities. These externalizing behaviors often appear early in the life course and can have far-reaching consequences. Researchers have long been interested in direct measurements of genetic risk for externalizing behaviors, which can be incorporated alongside other known risk factors to improve efforts at early identification and intervention.
View Article and Find Full Text PDFProprietary genetic datasets are valuable for boosting the statistical power of genome-wide association studies (GWASs), but their use can restrict investigators from publicly sharing the resulting summary statistics. Although researchers can resort to sharing down-sampled versions that exclude restricted data, down-sampling reduces power and might change the genetic etiology of the phenotype being studied. These problems are further complicated when using multivariate GWAS methods, such as genomic structural equation modeling (Genomic SEM), that model genetic correlations across multiple traits.
View Article and Find Full Text PDF