Combining human tissue and iPSC-derived cardiomyocyte eQTL datasets to understand noncoding genetic variants: boosting the cardiogenetics toolbox
| dc.contributor.author | Dababneh, Saif | |
| dc.contributor.author | Kim, Kyoung-Han | |
| dc.contributor.author | Tibbits, Glen F. | |
| dc.date.accessioned | 2024-08-20T03:24:56Z | |
| dc.date.available | 2024-08-20T03:24:56Z | |
| dc.date.issued | 2024-08-14 | |
| dc.date.updated | 2024-08-20T03:24:56Z | |
| dc.identifier.citation | Clinical Epigenetics. 2024 Aug 14;16(1):107 | |
| dc.identifier.uri | https://doi.org/10.1186/s13148-024-01721-y | |
| dc.identifier.uri | http://hdl.handle.net/10393/46475 | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The Author(s) | |
| dc.title | Combining human tissue and iPSC-derived cardiomyocyte eQTL datasets to understand noncoding genetic variants: boosting the cardiogenetics toolbox |
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