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GenomicsSearching for variants associated with endometriosis
We explored regulatory mechanism of a SNP on chromosome 9p21 associated with endometriosis by leveraging “allele-specific” functional genomic approaches. By re-sequencing 1.29 Mb of 9p21 region and scrutinizing DNase-seq data from the ENCODE project, we prioritized rs17761446 as a candidate function...
EGAS00001001741 | EGA
Genomicsena-DATASET-NIG-07-03-2016-14:49:59:413-12 - samples
We performed target re-sequencing for 1.29 Mb interval of chromosome 9 (chr9:21299764–22590271, hg19). NimbleGen SeqCap EZ choice system was used as a target enrichment method (Roche Diagnostics). A DNA probe set complementary to the target region was designed by NimbleDesign. The libraries were seq...
EGAD00001001942 | EGA
GenomicsData Access Committee of National Institute of Genetics of Japan
Data Access Committee EGAC00001000448
EGAC00001000448 | EGA
TranscriptomicsGene expression profiles of serous ovarian cancer samples
To elucidate the mechanisms of rapid progression of serous ovarian cancer, gene expression profiles from forty-three ovarian cancer tissues comprising eight early stage and thirty-five advanced stage tissues were performed using oligonucleotide microarrays of 18,716 genes. By non-negative matrix fac...
ORGANISM(S): Homo sapiens 
2009-07-19 | E-GEOD-12470 | biostudies-arrayexpress
TranscriptomicsImmune-activation as a therapeutic direction for patients with high-risk ovarian cancer based on gene expression signature (2)
Advanced-stage ovarian cancer is one of the most lethal gynecologic malignancies. To improve prognosis of patients with ovarian cancers, a predictive biomarkers leading to personalized treatments are required. In this large-scale cross-platform study of six microarray datasets consisting of 1054 ova...
ORGANISM(S): Homo sapiens 
2012-03-01 | E-GEOD-32063 | biostudies-arrayexpress
TranscriptomicsImmune-activation as a therapeutic direction for patients with high-risk ovarian cancer based on gene expression signature (1)
The Japanese Serous Ovarian Cancer Study Group Advanced-stage ovarian cancer is one of the most lethal gynecologic malignancies. To improve prognosis of patients with ovarian cancers, a predictive biomarkers leading to personalized treatments are required. In this large-scale cross-platform study of...
ORGANISM(S): Homo sapiens 
2012-03-01 | E-GEOD-32062 | biostudies-arrayexpress
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