Yosuke presents at APPG 2026
Yosuke Tanigawa presents at APPG 2026, Advances in Polygenic Precision Genomics 2026.
GeneSIS: enhancing transferability of polygenic scores with variant-level gene-by-sex interaction effects
We introduce GeneSIS, a statistical learning framework for modeling variant-level gene-by-sex interaction effects, and show it improves polygenic score prediction across 32 traits …
Dissecting Alzheimer's disease heterogeneity by cross-trait polygenic prediction
Led by Bill Li, this work introduces cross-trait polygenic prediction as a strategy for using phenome-wide PGS libraries in deeply phenotyped cohorts to reveal multiple polygenic …
PRISM: ancestry-aware integration of tissue-specific genomic annotations enhances the transferability of polygenic scores
In this study, led by Xiaohe (Lucy) Tian, we showed that ancestry-aware integration of tissue-specific genomic annotations enhances the transferability of polygenic scores (PGS).
A polygenic score method boosted by non-additive models
We developed GenoBoost, a polygenic score modeling approach, incorporating both additive and non-additive genetic dominance effects.
Predictive modeling of disease
Robust and biologically interpretable genetic risk models for a broad range of individuals.
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Power of inclusion: Enhancing polygenic prediction with admixed individuals
We developed a polygenic score training approach that allows direct inclusion of admixed individuals without the need for local ancestry inference and showed ancestry-diverse …
Integration of rare expression outlier-associated variants improves polygenic risk prediction
Polygenic risk score (PRS), an approach to estimate genetic liability to complex traits by aggregating the effects across multiple genetic variants, has attracted increasing …
Significant Sparse Polygenic Risk Scores across 813 traits in UK Biobank
We performed a systematic assessment of the predictive performance of PRS models across >1,500 traits in UK Biobank and report 813 PRS models with significant predictive …
[Review in Japanese] 複数の表現型を用いた人類遺伝統計学の大規模情報解析 (Large-scale human genetic statistical inference with multiple phenotypes)
[invited review written in Japanese] 日本語総説の執筆の機会をいただき、ゲノムワイド相関解析（GWAS）、ポリジェニック・リスク・スコア（polygenic risk score）、高次元データセットでの正則化つきの回帰モデル（penalized regression、Lasso 回帰など）に関する人類統計遺伝学の解析手法 …