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186 results for “genome wide association study”
A Genome-Wide Association Study (GWAS) of Risk for Osteosarcoma
This is a genome-wide association study (GWAS) of osteosarcoma, the most common primary bone malignancy. Osteosarcoma typically occurs in adolescents and young adults. It occurs at increased frequency in several inherited cancer predisposition syndromes but the genetic contribution to sporadic osteosarcoma is largely unexplored. The objective of this study was to identify genetic risk factors for osteosarcoma by conducting a genome-wide association study. We developed collaborations with multiple institutions in order to attain the necessary sample size required to discover novel loci in the genome associated with osteosarcoma using the GWAS approach. Genomic DNA (either blood or buccal in source) derived from osteosarcoma cases was obtained from each participating institution or research group. De-identified blood or buccal cell DNA samples from osteosarcoma cases were derived from existing biobanks at the collaborative institutions. Control subjects were derived from existing NCI cohorts and matched by gender and ethnicity.
Genome-wide study the fruit ripening associated lncRNAs in strawberry
GEO Series GSE129032. Fragaria vesca. 18 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide association study and transcriptome analysis provide new insights into the white/red earlobe color formation in chicken
GEO Series GSE110145. Gallus gallus. 200 samples. Type: Genome variation profiling by high throughput sequencing.
Genome-wide association study of RegX3 in M. tuberculosis (Mtb) grown under phosphate limited conditions
GEO Series GSE182669. Mycobacterium tuberculosis. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide association study on Tuberculosis in the Chinese Population
GEO Series GSE83397. Homo sapiens. 1008 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
Ewing Sarcoma Genome-wide Association Study
Ewing sarcoma (EwS) is a pediatric bone and soft tissue tumor for which genetic risk factors remain poorly understood. DCEG investigators are studying inherited genetic variation to identify regions in the genome associated with increased risk of EwS. They accomplish this by comparing the frequency of genotyped genetic variants between EwS cases and ancestry-matched, cancer-free controls to identify genomic regions that are important for EwS susceptibility. This large (2,000+ cases), international consortium combines previously published data with new EwS cases to perform integrative analyses of newly discovered genetic susceptibility regions to identify local genomic structures and nearby target genes that may be important for EWS risk. The overall goal of the study is to expand understanding of EwS etiology and provide insight into improved treatment and potentially preventative measures to reduce the overall burden of EwS.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.