4002 results for "*geneti*"

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• Genetic analysis of nevus spilus-type congenital melanocytic nevus

  We performed whole-exome sequencing (WES) of lesional dermis and SNP array of peripheral blood, lesional epidermis, lesional dermis, and/or cultured melanocytes from individuals with nevus spilus-type congenital melanocytic nevus.

  Study JGAS000929

• Germline WES of serrated polyposis syndrome

  The serrated polyposis syndrome (SPS) is a disease with a mainly unknown inherited genetic basis characterized by the presence of multiple and/or large serrated polyps in the colon and a higher associated risk for colorectal cancer (CRC). The objective of the present study was to identify new SPS/CRC germline predisposition genes by using whole-exome sequencing in two affected SPS patients from the same family.

  Study EGAS50000000765

• WES of serrated polyposis syndrome

  Samples were obtained from patients diagnosed with serrated polyposis syndrome (SPS). To provide further detail, the dataset comprises two whole-exome sequencing samples from patients within the same family, uploaded in BAM file format with IDs 449758 and 449549. Exomic regions were sequenced using HiSeq2000 Platform (Illumina, San Diego, USA) and Sure SelectXT All Exon v5 kit (Agilent, Santa Clara, CA, USA) for exon enrichment. Only those potentially pathogenic germline genetic variants shared by both individuals were considered.

  Dataset EGAD50000001126

• Characterization of cell types, positional codes, and enhancers contributing to human facial individuality and pathology

  Human genetic diversity generates an astonishing variety of facial shapes, and craniofacial anomalies rank among the most common birth defects. This study generated a multimodal atlas of human embryonic craniofacial development across embryonic weeks 6–11, including single-cell transcriptomics, chromatin accessibility, and spatial transcriptomics. The dataset characterizes cell states, mesenchymal subtypes, and their gene-enhancer cis-regulatory landscapes in space and time. These data provide a resource for studying normal human facial development, craniofacial abnormalities, and the genetic mechanisms underlying facial individuality.

  Study EGAS50000002001

• Long read whole genome sequencing data from brain postmortem tissue

  Chart genetic variation in the human brain in healthy controls and Parkinson’s disease (PD) patients.

  Study EGAS50000001452

• scATAC Gene scores

  Gene score matrices generated with ArchR based on chromatin profiles

  Study EGAS50000001993

• Timing chromosomal amplification events using patterns of somatic mutations in high hyperdiploid acute lymphoblastic leukemia

  This dataset included samples with high hyperdiploid acute lymphoblastic leukemia (ALL) collected from the Division of Clinical Genetics, Lund University, Sweden. All samples were subjected to whole genome sequencing using the Illumina HiSeqX platform. Paired-end sequencing (2x150bp) was done to ~60x coverage for diagnostic samples and ~30x coverage for remission samples. The paired-end reads were aligned to the human reference genome GRCh37 (https://www.ncbi.nlm.nih.gov/assembly/GCF_000001405.25/) by the Burrows-Wheeler Aligner tool (version 0.7.17). Duplicate reads marking and local realignment were performed by GATK (version 4.0.11.0).

  Study EGAS00001007052

• Large-scale single-cell phylogenetic mapping of clonal evolution in the human aging esophagus

  SMART-PTA single-cell whole-genome and full transcriptome sequencing form normal esophagus samples

  Dataset EGAD50000002573

• The Natural History of Human Prostate Cancer

  Whole genome DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of 3 men. For each of three different prostates, multiple tumour samples (4, 5, and 3 depending on the case) and one normal tissue sample were whole genome sequenced with a matched blood sample using the Illumiuna HiSeq platform. Tumour samples were sequenced to a target depth of 50X and normals and blood to a target depth of 30X. As of September 2020, some of the studies using these data include: Cooper et al, Nature Genetics 2015 (PMID: 25730763) Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)

  Dataset EGAD00001000689

• Batches 1-3 prostatectomy analysis

  Whole Genome Sequencing Illumina HiSeq data from 95 men with prostate cancer. Samples were taken from primary tissue obtained at prostatectomy (target sequencing depth 50X) with matched blood control (target sequencing depth 30X). This data is from batches 1 to 3 and is the bulk of the data used in Wedge et al, Nature Genetics 2018 (PMID: 29662167). As of September 2020, some of the studies using these data include: Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)

  Dataset EGAD00001001116