Author

Ai Ling Teh

Agency for Science, Technology and Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:benchmark study· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Ai Peng TaniD· 2 shared Dennis Y.Q. WangiD· 2 shared Shi Yu ChaniD· 2 shared Aisleen Mariz Arellano ManahaniD· 1 shared Amalia M. SkybergiD· 1 shared Anke Huels· 1 shared Arshia NaaziD· 1 shared Arthur Mark Richards· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Ai Peng TanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Epigenetic and brain age across development: Performance and associations in the MIND consortium

Marlene Staginnus, Vilte Baltramonaityte, Isabel K. Schuurmans, Sarina Abrishamcar, Martin Bauer, Sintia Iole Belangero, Elisabeth B. Binder, Rodrigo A. Bressan, Sybil Alexandra Burt, Claudia Buß, Shi Yu Chan, Valentine Chirokoff, Shaunna Clark, H. Valerie Curran, Darina Czamara, , Esther Walton

Across 15 cohorts (birth to 24 years), 20 epigenetic clocks and eight brain age models predicted chronological age modestly, stabilizing by middle childhood; their age residuals were weakly associated.

bioRxiv · Jul 30, 2026 · PreprintNeuroscience✦ In-depth digest

Developing a multi-modal neuroimaging-based BrainAge model across childhood

Shi Yu Chan, Pei Huang, Ai Ling Teh, Arshia Naaz, Jasmine Si Min Chuah, Zhen Ming Ngoh, Janice Lee, Aisleen Mariz Arellano Manahan, Xavier Yan Heng Lim, Marielle V. Fortier, Juan Helen Zhou, B.T. Thomas Yeo, Yap Seng Chong, Peter Gluckman, Johan Eriksson, , Ai Peng Tan

This paper develops and benchmarks BrainAge models using multi-modal neuroimaging data from childhood cohorts to distinguish healthy from symptomatic developmental trajectories.

bioRxiv · May 19, 2026 · PreprintNeuroscience

Genetic liability to metabolic dysfunction modelled in early adulthood predicts cardiometabolic risk across the life course in Asian populations

Hong Pan, Evelyn Lau, Yurui Chen, Jian Huang, Ai Ling Teh, Pei Fang Tan, Shaun Seh Ern Loong, Kazuo Miyazawa, Xiaohe Zhang, Varsha Gupta, Priti Mishra, Jinyi Che, Ning Li, Eran Elhaik, Suresh Anand Sadananthan, , Dennis Y.Q. Wang

This paper develops a polygenic score for metabolic syndrome in early adulthood and shows it predicts cardiometabolic risk across the life course in Asian populations.

medRxiv · Apr 27, 2026 · PreprintGenetic & Genomic Medicine