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• Methylation_cfDNA_control

  Genome-wide CpG methylation information of cell-free DNA samples from healthy controls

  Dataset EGAD00010002585

• Genome-wide sequencing of (cell-free) DNA from Nipple aspirate fluid of Breast cancer patients

  Study EGAS00001007214

• prostate cancer plasma cfRNA

  Dataset contains mRNA capture sequencing data from plasma of 180 different human donors: 132 prostate cancer patients (PRAD) and 48 cancer-free controls. Samples were sequenced on a NovaSeq X and sequencing data is provided in FASTQ format.

  Dataset EGAD50000001805

• Comparison with genomic measurement

  Heatrich-BS was performed on 5 healthy volunteers and 15 CRC patient cell-free DNA. The Heatrich-BS predicted tumor fractions were compared with tumor burden values obtained by genomic methods such as targeted amplicon sequencing and low pass sequencing.

  Dataset EGAD00001008715

• MicroRNA profiling by next-generation sequencing for colorectal cancer screening

  The dataset contains raw miRNA sequencing data of plasma samples from 20 newly diagnosed colorectal cancer cases and 20 controls free of colorectal neoplasms matched by age and sex. It includes files in the FASTQ compressed (.gz) format.

  Dataset EGAD00001006966

• Profiles of extracellular miRNA in cerebrospinal fluid and serum from patients with Alzheimer's or Parkinson's disease correlate with disease status and features of pathology

  We profiled the miRNA contents from cerebrospinal fluid and serum (using next generation sequencing) from postmortem patients diagnosed with Alzheimer's or Parkinson's disease, and neurologically normal controls. All biofluids were cell-free and patient matched, there was one cerebrospinal fluid and one serum sample from each of 70 patients with Alzheimer's disease, 67 patients with Parkinson's disease and 78 age-similar controls. We correlated the miRNA changes with measurements of neuropathology such as plaques, tangles and Lewy bodies.

  Study phs000727

• The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective longitudinal and ethnically diverse cohort

  The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective longitudinal and ethnically diverse cohort and biobank that we established. To date, approximately 28,000 participants have enrolled in the study, with over 13,000 having completed their initial visit. The project is aimed at identifying novel molecular signatures with diagnostic, prognostic and therapeutic value, and at developing AI-based predictive models for disease onset and progression. A unique feature of the HPP is its deep and longitudinal profiling that includes medical history, lifestyle and nutritional habits, vital signs, anthropometrics, blood tests, continuous glucose and sleep monitoring, imaging modalities and molecular profiling of the transcriptome, genetics, gut, vaginal and oral microbiome, metabolome and immune system. For several of these modalities, the HPP is the first or largest cohort of its kind. Our analyses of this data provide novel insights into the variation of phenotypes with age and ethnicity, highlighting the importance of having ethnically diverse cohorts and the need for establishing age-dependent norms. We demonstrate how the HPP can be used to unravel personalized molecular signatures of disease by comparison to patient-specific and disease-specific matched healthy controls. Leveraging the extensive dietary and lifestyle HPP data, we systematically identify associations between lifestyle factors and health outcomes. Finally, we present a multi-modal foundation AI model that is trained using self-supervised learning on diet and CGM data and outperforms existing methods in predicting future onset of disease. We extend this AI framework to integrate all data modalities of each subject as a continuous sequence of diverse medical events, creating a digital twin that can simulate interventions and predict health trajectories and outcomes.

  Study EGAS00001008040

• Molecular Biomarkers of Obesity and Metformin Response in Endometrial Cancer: Analysis of GOG-0286B

  The primary endpoint for the phase 2 study was progression free survival (PFS), and the primary endpoint for the phase 3 study was overall survival (OS). Data from phase 2 were included in the phase 3 analysis. Tissue was collected from patients with endometrial cancer who participated in the study (NCT02065687). The tissue will be analyzed for genetic data and combined with the clinical data to see if some gene variants are associated with longer PFS or OS, particularly on the metformin arm of the study.

  Study phs002934

• Bam files for a metastatic bladder cancer patient with BAP1 variants

  This dataset consists of three bam files (two cell-free DNA and one germline DNA) from a metastatic bladder cancer patient with BAP1 variants. Bam files were generated from targeted Illumina sequencing data.

  Dataset EGAD00001005520

• Noncoding Mutational Analysis of DLBCL Genomes

  146 DNA samples obtained from 73 DLBCL patients (matching tumor and normal) were sequenced with PCR free 1.0 genome shotgun sequencing. All files are in bam format.

  Dataset EGAD00001004142