Tumor gene project

The study focuses on human tumor susceptibility as well as somatic cancer genomics. We use high-throughput sequencing approaches to achieve a comprehensive molecular characterization of tumors. Our goal is to better understand their genesis and management opportunities.

Type: Cancer Genomics
Archiver: Federated European Genome-Phenome Archive (FEGA Finland)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000001443	Histone modification ChIP-seq for chromatin state annotations of myometrium and UL subclasses. Altogether 5 analyses and 210 runs. Includes fastq files; both ChIP and Input for each sample. Some Inputs are used for multiple ChIP experiments. ChIP-seq alignment files for trimmed, mapping q20 and nonredundant reads; both ChIP and Input for each sample. Software: Trim Galore v0.6.7; Bowtie 2 v2.5.0; samtools v1.6	Illumina HiSeq 2500 Illumina NovaSeq 6000	82

Publications	Citations
Chromatin state origins of uterine leiomyoma. Räisänen M, Kaasinen E, Jäntti M, Taira A, Siili E, Bützow R, Heikinheimo O, Pasanen A, Karhu A, FinnGen, Berta DG, Välimäki N, Aaltonen LA. Nat Commun 16: 2025 4307	0