{'fraction_non_alphanumeric': 0.038461538461538464, 'fraction_numerical': 0.01557935735150925, 'mean_word_length': 5.503164556962025, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Interactions between Enhanced Polygenic Risk Scores and Lifestyle for Cardiovascular Disease, Diabetes Mellitus and Lipid Levels.

Background - Both lifestyle and genetic factors confer risk for cardiovascular diseases, type 2 diabetes (T2D), and dyslipidemia. However, the interactions between these two groups of risk factors were not comprehensively understood due to previous poor estimation of genetic risk. Here we set out to develop enhanced polygenic risk scores (PRS), and systematically investigate multiplicative and additive interactions between PRS and lifestyle for coronary artery disease, atrial fibrillation, T2D, total cholesterol, triglyceride, and LDL-cholesterol. Methods - Our study included 276,096 unrelated white British participants from the UK Biobank. We investigated several PRS methods (P+T, LDpred, PRS-CS, and AnnoPred), and showed that AnnoPred achieved consistently improved prediction accuracy for all six diseases/traits. With enhanced PRS and combined lifestyle status categorized by smoking, body mass index, physical activity, and diet, we investigated both multiplicative and additive interactions between PRS and lifestyle using regression models. Results - We observed that healthy lifestyle reduced disease incidence by similar multiplicative magnitude across different PRS groups. The absolute risk reduction (ARR) from lifestyle adherence was however significantly greater in individuals with higher PRS. Specifically, for T2D, the ARR from lifestyle adherence was 12.4% (95% CI, 10.0%-14.9%) in the top 1% PRS versus 2.8% (95% CI, 2.3%-3.3%) in the bottom PRS decile, leading to a ratio of more than 4.4. We also observed a significant interaction effect between PRS and lifestyle on triglyceride level. Conclusions - By leveraging functional annotations, AnnoPred outperforms state-of-the-art methods on quantifying genetic risk through PRS. Our analyses based on enhanced PRS suggest that individuals with high genetic risk may derive similar relative but greater absolute benefit from lifestyle adherence.