16488 results for "sec+and+unspecified+malignant+neoplasm"

in 17.53 milliseconds.

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB4_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB4_M

  Dataset EGAD00001001756

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW50_C

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW50_C

  Dataset EGAD00001001835

• Somatic copy number alterations profiling in non-small cell lung cancer and their correlation with clinical efficacy in first-line treatment

  Genomic data from FFPE tumor samples of 258 patients with non-small cell lung cancer (NSCLC), profiled by shallow whole-genome sequencing (sWGS) at 1x. The study aimed to characterize somatic copy number alterations (SCNAs) and SCNA burden to assess their clinical relevance for patient stratification across different first-line treatments.

  Dac EGAC50000000929

• Prospective Lynch Syndrome Database entries

  These data have been used to produce cancer incidence results for https://pubmed.ncbi.nlm.nih.gov/37181409/ , https://pubmed.ncbi.nlm.nih.gov/40231433/ and https://plsd.eu as available in March 2026. The tables contain demographic information at individual level, individual cancer events with given age, as well as prophylactic and therapeutic surgeries to remove organs. The data have been de-identified to ensure anonymity.

  Dataset EGAD50000002468

• Genome-wide genotype data for 1,433 ni-Vanuatu

  Here, we generated genome-wide genotype data for 1,433 contemporary ni-Vanuatu and assessed their fine-scale genetic structure, in order to address central questions about the settlement of western Remote Oceania.

  Study EGAS00001005910

• Human primary and metastatic colorectal cancer (CRC) samples

  Dac EGAC00001002954

• NCCS-NSCLC-ITH2 project leader and principal investigator

  Dac EGAC00001003152

• Department of Gastroenterology and Hepatology Data Access Committee

  Dac EGAC00001003361

• DAC for study PTP and Vel Exome Sequencing

  Dac EGAC00001000013

• The Sample and Data Access Committee (SDAC) of CARTaGENE

  Dac EGAC00001000525

• Shanghai Institute of Endocrine and Metabolic Diseases

  Dac EGAC00001000677

• KUL Research group Molecular Bacteriology and Beneo Orafti.

  Dac EGAC00001000706

• Genomic Heterogeneity and the Small Renal Mass

  Dac EGAC00001000875

• Primary tumor and metastatic breast cancer data access

  Dac EGAC00001001687

• DKFZ OE0436 and UNI-Klinikum Heidelberg DAC

  Dac EGAC00001001904

• Haematopoietic stem cells and malignancies Data Access Comittee

  Dac EGAC00001002410

• The Ernest and Helen Scott Haematological Research Institute

  Dac EGAC00001002616

• DAC Genome-wide array data Tunisia and Morocco

  Dac EGAC00001002770

• France

  French cases and controls

  Dataset EGAD00010002023

• Belgium

  Belgian cases and controls

  Dataset EGAD00010002022

• Finland

  Finnish cases and controls

  Dataset EGAD00010002020

• Genomics and Oncogenesis of Pediatric Brain Tumors

  Dac EGAC00001003200

• Phenotype_files

  Description of phenotype and data dictionary

  Dataset EGAD00010002695

• Department of Gastroenterology and Hepatology Data Access Committee

  Dac EGAC00001003021

• Single-Cell NSC DAC – ADHD and Control iPSC Study

  Dac EGAC00001003572