Publications

See full publication list here
†Authors contributed equally ¶Senior authors

Selected works (co-)led by team members

Wenmin Zhang¶, Tianyuan Lu¶, Robert Sladek, Josée Dupuis, and Guillaume Lettre¶. Robust fine-mapping in the presence of linkage disequilibrium mismatch. Submitted.

Yanzhen Cheng, Shihui Peng, Ou Ren, Wenmin Zhang, and Tianyuan Lu¶. Identifying Non-Glycemic Genetic Components of HbA1c Improves Diabetes Risk Stratification in Prediabetes. Submitted.

Chen-Yang Su¶ and Tianyuan Lu¶. Disentangling adiposity-related and non-adiposity-related genetic pathways for type 2 diabetes. Submitted.

Chen-Yang Su¶ and Tianyuan Lu¶. Genetic evidence prioritizes circulating proteins for heart failure beyond shared BMI-related genetic liability. Submitted.

Shihui Peng, Guillaume Butler-Laporte, Sterling C. Johnson, Corinne D. Engelman, and Tianyuan Lu. Genetic evidence suggests a protective role of immunoglobulin M in Alzheimer’s disease. Submitted.

Jiaqi Duan, Chen-Yang Su, Satoshi Yoshiji, Wenmin Zhang, and Tianyuan Lu. Identifying circulating protein targets for common factors underlying schizophrenia, depression, and bipolar disorder. Submitted.

Chen-Yang Su, Masashi Hasebe, Adriaan van der Graaf, Yefeng Yang, Hsuan Megan Tsao, Leighton Smith, Guillaume Butler-Laporte, Sirui Zhou, Wenmin Zhang, Tianyuan Lu, and Satoshi Yoshiji¶. Systematic variant-to-gene mapping highlights TGFB2 and VEGFA as adipokine-coding genes with non-obese, insulinresistance-like characteristics and distinct disease risks. Submitted.

Yifei Wu, Yuchang Wu, Wenmin Zhang, Qiongshi Lu, and Tianyuan Lu¶. Impact of proxy cases on identification of target genes for Alzheimer’s disease using Mendelian randomization. Submitted.

Shihui Peng and Tianyuan Lu¶. Improving cross-ancestry generalizability of genetic risk prediction for short stature using a meta-polygenic risk score. Submitted.

Yanzhen Cheng, Wenmin Zhang, and Tianyuan Lu¶. Colocalization and discordance between plasma and brain protein quantitative trait loci. Submitted.

Yanzhen Cheng, Guillaume Butler-Laporte, Tomoko Nakanishi, and Tianyuan Lu¶. Development of a simple clinical score to prioritize detection of severe alpha-1 antitrypsin deficiency with PiZZ genotype. Submitted.

Jerome J. Choi, Corinne D. Engelman, and Tianyuan Lu¶. Multi-omics integration of transcriptomics and metabolomics with machine learning uncovers novel risk factors for Alzheimer’s disease. Submitted.

Dandan Tan, Yefeng Yang, Masashi Hasebe, Julia Carrasco-Zanini, Chen-Yang Su, Urvashi Singh, Leighton Smith, Megan Tsao, Aaron Leong, Miriam Udler, Jason Flannick, Guillaume Butler-Laporte, Claudia Langenberg, Tianyuan Lu¶, and Satoshi Yoshiji¶. Plasma proteomic signatures characterize type 2 diabetes heterogeneity. Submitted.

Chen-Yang Su, Masashi Hasebe, Dandan Tan, Bangli Cao, Kevin Liang, Takayoshi Sasako, Vincent Mooser, Wenmin Zhang, Sirui Zhou, Satoshi Yoshiji, Tianyuan Lu¶, and Guillaume Butler-Laporte¶. Disentangling osteoarthritis-specific genetic effects from obesity to identify novel therapeutic targets. Submitted.

Chen-Yang Su, Adriaan van der Graaf, Wenmin Zhang, Dong-Keun Jang, Susannah Selber-Hnatiw, Ta-Yu Yang, Guillaume Butler-Laporte, Kevin Y. H. Liang, Fumihiko Matsuda, Maria C. Costanzo, Noel P. Burtt, Jason Flannick, Sirui Zhou, Vincent Mooser, Tianyuan Lu¶, and Satoshi Yoshiji¶. Multi-ancestry proteome-phenome-wide Mendelian randomization offers a comprehensive protein-disease atlas and potential therapeutic targets. Submitted.

Yefeng Yang, Dandan Tan, Julia Carrasco-Zanini-Sanchez, Chen-Yang Su, Sirui Zhou, Satoshi Koyama, Pradeep Natarajan, Claudia Langenberg, Tianyuan Lu¶, and Satoshi Yoshiji¶. Plasma proteomics reveals coronary artery disease heterogeneity across discrete clusters and phenotypic continuum. Submitted.

Kate V Lauer, Lily N Stalter, Bret M Hanlon, Brian W Parks, Tianyuan Lu¶, and Luke M Funk¶. Inclusion of a multi-ancestry polygenic risk score into a machine learning weight gain prediction model: an observational analysis from the NIH All of Us Research Program. Submitted.

Wenmin Zhang¶, Satoshi Yoshiji, Robert Sladek, Josée Dupuis¶, and Tianyuan Lu¶. Benchmarking Bayesian colocalization methods in validating Mendelian randomization-based target discoveries from circulating proteins for cardiometabolic diseases. Submitted.

Tianyuan Lu¶, Lily N. Stalter, Kate V. Lauer, Bret M. Hanlon, Wenmin Zhang, and Luke M. Funk. A multi-ancestry polygenic risk score for body mass index predicts longitudinal weight change. Genome Medicine 2026. Link to publication

Tianyuan Lu¶, David Stein, Wenmin Zhang, Yuval Itan, and Andrew D. Paterson.  Development of polyphenotypic scores to prioritize detection of G6PD rs1050828-T carriers in African and African American populations. Genetics in Medicine 2026. Link to publication

Wenmin Zhang¶, Qiongshi Lu, and Tianyuan Lu¶. Challenges to case-only analysis for gene-environment interaction detection using polygenic risk scores: model assumptions and biases in large biobanks. Genetics 2026. Link to publication

Jerome J. Choi, Noah Cohen Kalafut, Tim Gruenloh, Corinne D. Engelman, Tianyuan Lu¶, and Daifeng Wang¶. COSIME: Cooperative multi-view integration and scalable and interpretable model explainer. Nature Machine Intelligence 2025. Link to publication

Tianyuan Lu¶ and Andrew D. Paterson¶. Estimating effects of serum vitamin B12 levels on psychiatric disorders and cognitive impairment: a Mendelian randomization study. Communications Medicine 2025. Link to publication

Tianyuan Lu¶, Wenmin Zhang, Fergus W. Hamilton, Guillaume Butler-Laporte, Nicholas J. Timpson, George Davey Smith, and J. Brent Richards¶. Challenges to the independence assumption in Mendelian randomization due to sample selection and complex methods. The Journal of Clinical Endocrinology & Metabolism 2025. Link to publication

Tianyuan Lu¶, Wenmin Zhang, Cassiane Robinson-Cohen, Corinne D. Engelman, Qiongshi Lu, Ian H. de Boer, Lei Sun, and Andrew D. Paterson. Improved characterization of gene-environment interactions for vitamin D through variance quantitative trait loci. American Journal of Clinical Nutrition 2025. Link to publication

Tianyuan Lu¶, Despoina Manousaki, Lei Sun, and Andrew D. Paterson¶. Integrative proteogenomic analyses provide novel interpretations of type 1 diabetes risk loci through circulating proteins. Diabetes 2025. Link to publication

Nazim Rabouhi, Simon Guindon, Emilia Aisha Coleman, HJ van Heesbeen, Celia M. T. Greenwood¶, Tianyuan Lu¶, and Philippe M. Campeau¶. Assessing in silico tools for accurate pathogenicity prediction in CHD nucleosome remodelers. Journal of Molecular Biology 2025. Link to publication

Wenmin Zhang, Chen-Yang Su, Satoshi Yoshiji, and Tianyuan Lu¶. MR Corge: Sensitivity analysis of Mendelian randomization based on the core gene hypothesis for polygenic exposures. Bioinformatics 2024. Link to publication

Tianyuan Lu¶, Yiheng Chen, Satoshi Yoshiji, Yann Ilboudo, Vincenzo Forgetta, Sirui Zhou, and Celia M. T. Greenwood¶. Circulating metabolite abundances associated with risks of psychiatric disorders: a Mendelian randomization study. Biological Psychiatry 2024. Link to publication

Tianyuan Lu¶, Vincenzo Forgetta, Sirui Zhou, J Brent Richards, and Celia M. T. Greenwood¶. Identifying rare genetic determinants for improved polygenic risk prediction of bone mineral density and fracture risk. Journal of Bone and Mineral Research 2023. Link to publication
Lady Davis Institute Paper of the Month (December 2023)

Tianyuan Lu¶, Tomoko Nakanishi, Satoshi Yoshiji, Guillaume Butler-Laporte, Celia M. T. Greenwood, and J. Brent Richards¶. Dose-dependent association of alcohol consumption with obesity and type 2 diabetes: observational and Mendelian randomization analyses. The Journal of Clinical Endocrinology & Metabolism 2023. Link to publication
Endocrine Society News Release (June 2023)

Tianyuan Lu¶, Vincenzo Forgetta, J. Brent Richards, and Celia M. T. Greenwood¶. Genetic determinants of polygenic prediction accuracy within a population. Genetics 2022. Link to publication

Tianyuan Lu, Vincenzo Forgetta, Celia M. T. Greenwood, Sirui Zhou, and J. Brent Richards¶. Circulating proteins influencing psychiatric disease: A Mendelian randomization study. Biological Psychiatry 2022. Link to publication
Prix Relève Étoile Jacques-Genest / Best Publication Award – Health Sciences of Québec (March 2023)

Tianyuan Lu¶, Vincenzo Forgetta, J. Brent Richards, and Celia M. T. Greenwood¶. Capturing additional genetic risk from family history for improved polygenic risk prediction. Communications Biology 2022. Link to publication

Tianyuan Lu, Vincenzo Forgetta, Celia M. T. Greenwood, and J. Brent Richards¶. Identifying causes of fracture beyond bone mineral density: Evidence from human genetics. Journal of Bone and Mineral Research 2022. Link to publication

Tianyuan Lu, Vincenzo Forgetta, J. Brent Richards, and Celia M. T. Greenwood¶. Polygenic risk score as a possible tool for identifying familial monogenic causes of complex diseases. Genetics in Medicine 2022. Link to publication

Célia Escribe†, Tianyuan Lu†, Julyan Keller-Baruch, Vincenzo Forgetta, Bowei Xiao, J. Brent Richards, Sahir Bhatnagar, Karim Oualkacha and Celia M. T. Greenwood¶. Block coordinate descent algorithm improves variable selection and estimation in error-in-variables regression. Genetic Epidemiology 2021. Link to publication
Highlight of Issue (December 2021)

Tianyuan Lu, Andres Cardenas, Patrice Perron, Marie-France Hivert, Luigi Bouchard, and Celia M. T. Greenwood¶. Detecting cord blood cell type-specific epigenetic associations with gestational diabetes mellitus and early childhood growth. Clinical Epigenetics 2021. Link to publication

Tianyuan Lu, Vincenzo Forgetta, Haoyu Wu, John R. B. Perry, Ken K. Ong, Celia M. T. Greenwood, Nicholas J. Timpson, Despoina Manousaki, and J. Brent Richards¶. A polygenic risk score to predict future adult short stature among children. The Journal of Clinical Endocrinology & Metabolism 2021. Link to publication

Tianyuan Lu†, Vincenzo Forgetta†, Julyan Keller-Baruch, Maria Nethander, Derrick Bennett, Marie Forest, Sahir Bhatnagar, Robin G. Walters, Kuang Lin, Zhengming Chen, Liming Li, Magnus Karlsson, Dan Mellström, Eric Orwoll, Eugene V. McCloskey, John A. Kanis, William D. Leslie, Robert J. Clarke, Claes Ohlsson, Celia M. T. Greenwood, and J. Brent Richards¶. Improved prediction of fracture risk leveraging a genome-wide polygenic risk score. Genome Medicine 2021. Link to publication

Tianyuan Lu and Jessica C. Mar¶. Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell types. Biology of Sex Differences 2020. Link to publication

Tianyuan Lu, Sirui Zhou, Haoyu Wu, Vincenzo Forgetta, Celia M. T. Greenwood, J. Brent Richards¶. Individuals with common diseases, but with a low polygenic risk score could be prioritized for rare variant screening. Genetics in Medicine 2020. Link to publication
Editor’s Featured Article (March 2021)

Tianyuan Lu, Vincenzo Forgetta, Oriana H. Y. Yu, Lauren Mokry, Madeline Gregory, George Thanassoulis, Celia M. T. Greenwood and J. Brent Richards¶. Genetic influences on coronary heart disease act on atherosclerosis in type 2 diabetes. Cardiovascular Diabetology 2020. Link to publication

Tianyuan Lu, Kathleen Oros Klein, Inés Colmegna, Maximilien Lora, Celia M. T. Greenwood, and Marie Hudson¶. Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis. BMC Medical Genomics 2019. Link to publication