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• DAC for PROP1 study

  Dac EGAC00001000312

• DAC for ACC Study

  Dac EGAC00001000376

• Centre for Biocultural History

  Dac EGAC00001000502

• DAC for SCHoming study group

  Dac EGAC00001000667

• DAC for Pitteloud group

  Dac EGAC00001000690

• DAC for CancerDetector study

  Dac EGAC00001000979

• DAC for cirrhosis data

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• DAC for HIFI data

  Dac EGAC00001001142

• DAC for Hodson's Lab

  Dac EGAC00001001298

• DAC for Levy Group

  Dac EGAC00001001450

• Center for Medical Genetics

  Dac EGAC00001001466

• DAC for Pediatric GBM

  Dac EGAC00001001621

• DAC for TG data

  Dac EGAC00001002263

• OPTIMISTIC DAC for ReCognitION

  Dac EGAC00001002434

• DAC for cfTrack study

  Dac EGAC00001002472

• DAC for hiPSC-derived neurons

  Dac EGAC00001002797

• DAC for study EGAS00001007291

  Dac EGAC00001003261

• Evaluation of novel therapies using primary cultured gynecological cancer cells and search for predictors of efficacy

  The objective of this study is to establish an optimal method to evaluate the anti-tumor efficacy and biological activity of the novel therapies under investigation in our department using cancer tissues and cells derived from patients with gynecological malignancies in vitro and to evaluate them in practice. This research will contribute to the development of new treatments for gynecological cancer.

  Study JGAS000809

• Comprehensive survey for the construction of an integrated database of food, gut microbiome, and health information (the "Sukoyaka Health Survey"). A study on the relationship between food and health and genetic background.

  We conducted a cohort-based study to investigate the association between the genetic background and diet/lifestyle in 50 healthy Japanese. We analyzed some participants living in Miyazaki. The SNP array (Japonica Array v2) was used for genotyping. Shotgun metagenomic sequencing of fecal microbiome and metabolome of feces and blood were analyzed.

  Study JGAS000679

• Spatial transcriptome analysis for elucidating progression of early lung adenocarcinoma

  In this study, we performed spatial transcriptome analysis of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) to identify molecular events which occur during progression of ealry lung adenocarcinoma. For the analysis, we used cancer tissues which were precisely classified by Noguchi classification. Using the obtained data, we elucidated key molecular changes during tumor cell progression and their associated microenvironment statuses.

  Study JGAS000677

• Comprehensive molecular profiling for breast cancer patients and high-risk individuals.

  Although germ-line mutations in BRCA1 and BRCA2 gene are responsible for familial breast and ovarian cancer, the detailed mechanism of tumorigenesis is yet unknown. Here, we performed next-generation sequencing to determine the genomic profiles of familial breast cancer tumorigenesis. Target-capture sequencing of fresh-frozen or formalin-fixed-paraffin-embedded (FFPE) samples of breast cancer or normal breast tissue were performed.

  Study JGAS000368

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from Schizophrenia individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000043

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from normal individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000042

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from Bipolar disorder individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000045

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from Depression individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000044