Fig. 2: Manhattan plots for GWAS of four time-to-event phenotypes with different censoring rates in the UK Biobank data with White British ancestry. | Nature Communications

Fig. 2: Manhattan plots for GWAS of four time-to-event phenotypes with different censoring rates in the UK Biobank data with White British ancestry.

From: Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks

Fig. 2: Manhattan plots for GWAS of four time-to-event phenotypes with different censoring rates in the UK Biobank data with White British ancestry.

GWAS results using GATE-noSPA (A) and GATE (B) are shown for ischemic heart disease (PheCode 411, N = 407,776, censoring rate = 90.9%), female breast Cancer (PheCode 174.1, N = 208,160, censoring rate = 92.6%), glaucoma (PheCode 365, N = 398,971, censoring rate = 98.5%), and Alzheimer’s Disease (PheCode 290.11, N = 342,881, censoring rate = 99.8%).

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