PMC:6323551 / 8193-9002 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/6323551","sourcedb":"PMC","sourceid":"6323551","source_url":"https://www.ncbi.nlm.nih.gov/pmc/6323551","text":"Cross-Phenotype Associations\nTo construct the DDN, we used the genetic associations, identified through the PheWAS approach, that were reported in in our previous study to comprehensively test for associations between 625,325 SNPs and 541 EHR-based phenotypes.13 As part of MyCode initiative, individuals agreed to provide blood and DNA samples for broad, future research, including genomic analyses as part of the Regeneron-Geisinger DiscovEHR collaboration and linking to data in the Geisinger EHR under a protocol approved by the Geisinger Institutional Review Board. The association testing was performed on genotype and phenotype data from 38,668 unrelated individuals. We used 31,017 associations with a p value \u003c 1 × 10−4 to generate a network between disease diagnoses derived from ICD-9 phenotypes.13","divisions":[{"label":"title","span":{"begin":0,"end":28}}],"tracks":[{"project":"2_test","denotations":[{"id":"30598166-29606303-2050489","span":{"begin":807,"end":809},"obj":"29606303"}],"attributes":[{"subj":"30598166-29606303-2050489","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#bb93ec","default":true}]}]}}