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• African American Breast Cancer GWAS

  The GWAS includes African American participants from 9 epidemiological studies of breast cancer, comprising a total of 3,153 cases and 2,831 controls (cases/controls: The Multiethnic Cohort Study (MEC), 734/1,003; The Los Angeles component of The Women's Contraceptive and Reproductive Experiences (CARE) Study, 380/224; The Women's Circle of Health Study (WCHS), 272/240; The San Francisco Bay Area Breast Cancer Study (SFBCS), 172/231; The Northern California Breast Cancer Family Registry (NC-BCFR), 440/53;The Carolina Breast Cancer Study (CBCS), 656/608; The Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort, 64/133; The Nashville Breast Health Study (NBHS), 310/186; and, The Wake Forest University Breast Cancer Study (WFBC), 125/153). Quality control of the GWAS data and additional details can be found in Chen et al. Hum Genet. 2013 (PMID: 22923054)

  Study phs000851

• RNA sequencing of surgically removed lung adenocarcinoma afterwards treated with immune checkpoint inhibitors

  Patients with lung adenocarcinoma (LUAD) from The Cancer Genome Atlas (TCGA) database were enrolled in the training cohort to establish a prognostic signature based on the expression of tumor-specific amino acid metabolism related genes. The established signature was further investigated against an original cohort, KCC-ICI, of chemotherapy combined with immune checkpoint inhibitors. The signature consisting of nine genes, KYNU, PSPH, PPAT, MIF, GCLC, ACAD8, TYRP1, ALDH2, and HDC, could effectively stratify the OS in LUAD patients. The KCC-ICI cohort confirmed the predictive ability of the established signature in the clinical response to immune checkpoint blockade therapy, which correlated with the infiltration of immune cells (e.g., T lymphocytes and nature killer cells). We discovered that the high signature risk score patients showed a significantly lower concentration of plasma-free ??-aminobutyric acid (AABA).

  Study JGAS000675

• Ontario Institute for Cancer Research; Biliary Tract Cancer

  Next Generation Sequencing data from Biliary Tract cancers

  Study EGAS50000000972

• Bulk RNA-Seq Digital Gene Expression Matrix

  Raw read counts and normalized read counts for each gene

  Dataset EGAD50000002489

• Serum Proteomics of Aortic Diseases

  Comparative proteome-based analysis of different autologous bone entities used for alveolar onlay grafting

  Dataset EGAD00010002314

• cqmuGWAS1

  DNA for 1546 individuals from Chongqing was extract from peripheral blood and genotyped by Illumina Omni Zhonghua-8 version 1 gene chips.

  Dataset EGAD00010001527

• Copy number profiling of primary samples and cell lines of retinoblastoma

  Illumina SNP-arrays for matching retinoblastoma-blood pairs and retinoblastoma cell lines.

  Dataset EGAD00010000908

• README-for-EGAS00001004349-linking-HIPO-K09R-RNA-files

  Dataset EGAD00001006785

• DATA FILES FOR SJRB

  Retinoblastoma whole genome sequencing

  Dataset EGAD00001000261

• Reference epigenome IPS01_N_Fibroblast_WGBS data generated from KEP study

  A IPS01_N_Fibroblast_WGBS paired end data for iPSC(Oct4)

  Dataset EGAD00001003473