Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes
Yang Wu, Ting Qi, Naomi R. Wray, Peter M. Visscher, Jian Zeng, Jian Yang
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.xgen.2023.100344 ↗
- Volume · Issue · Pages
- 3 · 8 · 100344-100344
- Publisher
- Cell Press
- Article URL
- https://doi.org/10.1016/j.xgen.2023.100344 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
19 Jun 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 19 Jun 2023 | OpenAlex |
Keywords (as given): complex traits; multi-omics integration; molecular phenotypes; prostate cancer
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
Best available information, not a definitive status: Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
- Journal
- Cell Genomics
- Publication date used
- 19 Jun 2023 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- —
- Recognition status
- Pending Verification (PERIOD_HAS_UNMATCHED_ROWS)
- Source
- —
- Verification status
- Unverified
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