4002 results for "*geneti*"

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• Genotyping data from four arrays for 90 Asian individuals (Illumina GDA, Illumina GSA, Illumina OncoArray, and ThermoFisher Axiom)

  A uniquely comprehensive genetic profile of 90 "healthy" Asian individuals who are representative of the diverse multi-ethnic population of Singapore, with 65 females and 25 males, aged 21 to 61 years, from the major ethnic groups (63 Chinese, 9 Malay, 18 Indian). This is a subset of the 92 participants described in PMID 41387625 (DOI: 10.1038/s43856-025-01298-4), who agreed to share their genetic data for future research beyond the original study. Replicates for one female (Coriell Cat# GM18592, RRID:CVCL_P195) and one male (Coriell Cat# GM18609, RRID:CVCL_P207) control cell line of type B-Lymphocyte, ethnicity Han Chinese from the NHGRI Sample Repository for Human Genetic Research were also included. This dataset consists of individual-level genetic data from 4 genotyping arrays -- the Illumina Infinium Global Diversity Array (GDA) v1.0, the Illumina Infinium Global Screening Array (GSA) v3.0, the Illumina Infinium OncoArray-500K v1.0, and a custom ThermoFisher Scientific's Applied Biosystems Axiom array. Data from low-coverage whole genome sequencing (lc-WGS read length 2X150bp) for the same samples is also available on EGA (EGAD50000002806).

  Dataset EGAD00010002834

• 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

  Dac EGAC50000000968

• Canadian prostate cancer samples (CPC-GENE) for PanProstate study

  CPC-GENE has sequenced the genomes of 350 intermediate risk prostate cancers to identify genetic signatures that differ in cancers that responded well to treatment compared with those that did not. CPC-GENE also has sequenced multiple regions of prostate cancer from the same gland to determine if and how the genetic make-up of prostate cancer varies within an individual man’s prostate

  Study EGAS00001003037

• Telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  Long read sequencing of 195 blood samples for allele-specific telomere detection

  Dataset EGAD50000002360

• Telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  A high-resolution workflow combining PacBio and Nanopore long-read sequencing platforms has been developed to map allele-specific telomere length in clinical patient samples. By tracing allele-specific telomeric sequence in family members across multiple generations, we show that telomeric variant sequences (TVSs) interspersed throughout the canonical repeat region are heritable (with mean similarity score > 0.95), allele-specific, and account for the extreme heterogeneity of telomere length between alleles.

  Study EGAS50000001642

• DAC of telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  DAC of telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  Dac EGAC50000000943

• Characterization_of_genomic_landscape_of_Peripheral_T_cell_Lymphomas__not_otherwise_specified__PTCL_NOS_

  Peripheral T-cell lymphomas not otherwise specified (PTCL-NOS) represent a heterogeneous group of nodal and extra-nodal mature T-cell lymphomas, with a low prevalence in Western countries. PTCL-NOSs account for about 25% of all PTCLs and are currently diagnosed based on exclusion criteria, as this lymphomas lack unifying morphological, phenotypic and genomic features. Cytogenetic and FISH analysis of PTCL-NOS samples have not revealed recurrent pathogenetic abnormalities, while gene expression profiling has shown only partial ability to segregate cases representing homogeneous clinic-pathological entities. This underscores the need to look at PTCL-NOS with innovative and high-throughput approaches to identify recurrent genetic lesions that could further our understanding of the biology of this heterogeneous group of diseases, provide better diagnostic tools and perhaps new targets for innovative treatments. Our aim is to study ~15 patients affected by PTCL-NOS. Out study will be funded by a private, non-profit Italian cancer research fund (Associazione Italiana per la Ricerca sul Cancro, www.airc.it) based on a grant owned by Anna Dodero and Cristiana Carniti, hematologists at INT. Samples will be analysed by whole genome sequencing using Illumina X10 machines, on a 150bp-PE protocol. Data will be analysed using the pipeline available in Team 78, under the supervision of Peter Campbell, the WTSI faculty who will oversee the project, and by Francesco Maura, visiting scientist at the WTSI.

  Study EGAS00001002057

• Investigating the genetics of immunity against Salmonella in humans (2019-09-05)

  This study entails whole genome sequencing of an interleukin (IL)-12 b-1 receptor-deficient individual who presented with a chronic systemic Salmonella Enteritidis infection that did not resolve with standard IFNg and antibiotic treatment. Whole genome sequencing of the patient's parents are also included. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/ . This dataset contains all the data available for this study on 2019-09-05.

  Dataset EGAD00001005311

• August 2019 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  August 2019 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies (Canadian Epigenetics, Environment and Health Research Consortium), Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001005335

• Control iPSC lines with clinically annotated genetic variants for versatile multi-lineage differentiation Part 2

  This is 2nd part of data for original Control iPSC lines with clinically annotated genetic variants for versatile multi-lineage differentiation,

  Dataset EGAD00001005359