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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19957775 |
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| _version_ | 1866901967213690880 |
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| author | Ying Wang Masahiro Kanai Taotao Tan Mireille Kamariza Kristin Tsuo Kai Yuan Wei Zhou Yukinori Okada Hailiang Huang Patrick Turley Elizabeth G. Atkinson Alicia R. Martin |
| author_facet | Ying Wang Masahiro Kanai Taotao Tan Mireille Kamariza Kristin Tsuo Kai Yuan Wei Zhou Yukinori Okada Hailiang Huang Patrick Turley Elizabeth G. Atkinson Alicia R. Martin |
| contents | <p>These are the main codes used for the paper:</p> <p>Wang et al. Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology, Cell Genomics, 2023; 3</p> <p>doi: https://doi.org/10.1101/2022.12.29.522270 </p> <p> </p> <p>Added UKB downsample & meta-analyzed GWAS summary statistics with varying sample sizes in the format as inputs for PRS-CS for 17 traits studied in this paper on May 1, 2026. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19957775 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology Ying Wang Masahiro Kanai Taotao Tan Mireille Kamariza Kristin Tsuo Kai Yuan Wei Zhou Yukinori Okada Hailiang Huang Patrick Turley Elizabeth G. Atkinson Alicia R. Martin <p>These are the main codes used for the paper:</p> <p>Wang et al. Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology, Cell Genomics, 2023; 3</p> <p>doi: https://doi.org/10.1101/2022.12.29.522270 </p> <p> </p> <p>Added UKB downsample & meta-analyzed GWAS summary statistics with varying sample sizes in the format as inputs for PRS-CS for 17 traits studied in this paper on May 1, 2026. </p> |
| title | Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology |
| url | https://doi.org/10.5281/zenodo.19957775 |