Extended Data Fig. 3: Top predicted Alzheimer’s disease-relevant genes in multiple brain regions, with whole blood as reference tissue. | Nature Machine Intelligence

Extended Data Fig. 3: Top predicted Alzheimer’s disease-relevant genes in multiple brain regions, with whole blood as reference tissue.

From: Hypergraph factorization for multi-tissue gene expression imputation

Extended Data Fig. 3: Top predicted Alzheimer’s disease-relevant genes in multiple brain regions, with whole blood as reference tissue.The alternative text for this image may have been generated using AI.

(a) Pearson correlation coefficient of top 20 predicted genes from the Alzheimer’s disease pathway (KEGG), ranked by average correlation. (b, c, d) Average per-gene expression (x-axis) versus prediction performance (Pearson correlation between predicted and ground truth expression) in (b) cerebellum, (c) cortex, and (d) hippocampus. HYFA exhibits strong prediction performance for several Alzheimer’s disease-relevant genes including APOE (cortex ρ=0.536, cerebellum: ρ=0.502), APP (cortex ρ=0.524), PSEN1 (cerebellum: ρ=0.459), and PSEN2 (cortex: ρ=0.590, cerebellum: ρ=0.559, hippocampus: ρ=0.403). In cerebellum, PSEN1 (ρ=0.459), PSEN2 (ρ=0.559), and APOE (ρ=0.502) attained above expected performances (average ρ=0.448). APP (ρ=0.524), PSEN2 (ρ=0.590), and APOE (ρ=0.536) surpassed the expected correlation in cortex (average ρ=0.443).

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