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Chunk #31 — Results — Do DHS- Scores Predict Outcomes Better than GW-scores? — Height

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Incorporating Functional Genomic Information to Enhance Polygenic Signal and Identify Variants Involved in Gene-by-Environment Interaction for Young Adult Alcohol Problems.
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Regression results for GW-scores and DHS-scores predicting height are shown in Table 3. The GW-scores significantly predicted height at both the p<.01 and p<.05 inclusion thresholds (β =0.0028, p=1×10−47 and β =0.0025, p=3×10−48, respectively). Likewise, the DHS-scores significantly predicted height at the p<.01 and p<.05 inclusion thresholds (β =0.0042, p=1×10−37 and β =0.0040, p=3×10−39, respectively). Compared to polygenic prediction of ADsx, the predictive power of polygenic scores for height was much stronger and the total phenotypic variance accounted for was considerably larger, ranging from 8.6 – 8.9% for GW scores and 6.4 – 6.9% for DHS scores. The per-SNP ratios for DHS to GW effects ranged from 1.6 to 1.8 for R2, indicating that each SNP included in the DHS-scores accounted for, on average, 1.6–1.8 times the variance in height compared to SNPs in GW-scores.