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Understanding the unique patient-causal singularism and patient reported outcomes.
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IQVIA Patient Centered Solutions, Reading, UK.
Patient reported outcome measures (PROMs) now play a significant role in randomized control trials (RCTs) providing the basis for efficacy or safety endpoints. Most PROM data is quantitative and is summarized at the group level. Whilst PROM data is informative in providing the aggregated patient perspective on disease and interventions, it provides little information about the patients' individual experiences.
View Article and Find Full Text PDFCRAmed: a conditional randomization test for high-dimensional mediation analysis in sparse microbiome data.
Bioinformatics
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Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Motivation: Numerous microbiome studies have revealed significant associations between the microbiome and human health and disease. These findings have motivated researchers to explore the causal role of the microbiome in human complex traits and diseases. However, the complexities of microbiome data pose challenges for statistical analysis and interpretation of causal effects.
View Article and Find Full Text PDFInferring the genetic relationships between unsupervised deep learning-derived imaging phenotypes and glioblastoma through multi-omics approaches.
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Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
View Article and Find Full Text PDFThe comparative effectiveness of medicinal cannabis for chronic pain versus prescription medication treatment.
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January 2025
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Reviews of the effectiveness of medicinal cannabis for chronic pain vary in their conclusions. IASP has identified that a key missing evidence in this debate is data from observational cohort studies, analyzed with comparative effectiveness methods. In a medically supervised context to the use of marijuana for chronic pain, we identified 440 patients certified for medical marijuana by pain specialists in a single healthcare system.
View Article and Find Full Text PDFTelomemore enables single-cell analysis of cell cycle and chromatin condensation.
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Laboratory for Molecular Infection Medicine Sweden (MIMS), Umeå University, Biomedicinbyggnaden 6K och 6L, Umeå universitetssjukhus, 901 87, Umeå, Sweden.
Single-cell RNA-seq methods can be used to delineate cell types and states at unprecedented resolution but do little to explain why certain genes are expressed. Single-cell ATAC-seq and multiome (ATAC + RNA) have emerged to give a complementary view of the cell state. It is however unclear what additional information can be extracted from ATAC-seq data besides transcription factor binding sites.
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