File:Predictive power of future PGSs (polygenic scores).jpg
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[edit]DescriptionPredictive power of future PGSs (polygenic scores).jpg |
English: Predictive power of future PGSs (polygenic_scores). Currently attainable predictive power of PGSs (“Largest GWAS”) and projected explanatory power of future PGSs derived from discovery samples of 1M and 2M individuals (“~1M” and “~2M”). For each trait, we calculate h2SNP directly from Eq. 3. We assume M = 70,000, and using values of R 2 and N from the largest published GWAS of the trait (e.g., 6.9% and 405,000 for education). Implied SNP-based heritabilities are 15, 16 and 30%, respectively. Parameterizations based on estimates of SNP-based heritabilities (25, 25 and 50%) yield higher projections.
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Date |
Published online: 01 February 2017 |
Source | David Cesarini & Peter M. Visscher (2017) Genetics and educational attainment. npj Science of Learning 2, Article number: 4 doi:10.1038/s41539-017-0005-6 http://www.nature.com/articles/s41539-017-0005-6 |
Author | David Cesarini & Peter M. Visscher |
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This work is licensed under a Creative Commons Attribution 4.0 International License. |
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current | 17:39, 10 February 2017 | 900 × 644 (48 KB) | Was a bee (talk | contribs) | == {{int:filedesc}} == {{Information |Description={{en|1=Predictive power of future PGSs (polygenic_scores). Currently attainable predictive power of PGSs (“Largest GWAS”) and projected explanatory power of future PGSs derived from discovery sample... |
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