DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts
H.M. Smith, H.K. Ng, J.E. Moodie, D.A. Gadd, D.L. Mccartney, E. Bernabeu, A. Campbell, P. Redmond, A. Taylor, D. Page, J. Corley, S.E. Harris, D. Tay, I.J. Deary, K.L. Evans, M.R. Robinson, J.C. Chambers, M. Loh, S.R. Cox, R.E. Marioni, R.F. Hillary, American Journal of Human Genetics 112 (2025) 106–115.

Blood-based epigenome-wide association study and prediction of alcohol consumption
E. Bernabeu, A.D. Chybowska, J.K. Kresovich, M. Suderman, D.L. Mccartney, R.F. Hillary, J. Corley, M.D.C. Valdés-Hernández, S.M. Maniega, M.E. Bastin, J.M. Wardlaw, Z. Xu, D.P. Sandler, A. Campbell, S.E. Harris, A.M. Mcintosh, J.A. Taylor, P. Yousefi, S.R. Cox, K.L. Evans, M.R. Robinson, C.A. Vallejos, R.E. Marioni, Clinical Epigenetics 17 (2025).

Deep eutectic solvent as a solution for polyester/cotton textile recycling
N. Depope, A. Depope, V.M. Archodoulaki, W. Ipsmiller, A. Bartl, Waste Management 208 (2025).

Gene body methylation regulates gene expression and mediates phenotypic diversity in natural Arabidopsis populations
Z. Shahzad, E. Hollwey, J.D. Moore, J. Choi, G. Cassin-Ross, H. Rouached, M.R. Robinson, D. Zilberman, Nature Plants 11 (2025) 2084–2099.

Antler allometry, the Irish elk and Gould revisited
M. Tsuboi, B.T. Kopperud, M. Matschiner, M. Grabowski, C. Syrowatka, C. Pélabon, T.F. Hansen, Evolutionary Biology 51 (2024) 149–165.

Inference of genetic effects via approximate message passing
A. Depope, M. Mondelli, M.R. Robinson, in:, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, 2024, pp. 13151–13155.

Bayesian linear regression for analyzing general omics data with time-to-event phenotypes
A. Villanueva Marijuan, Bayesian Linear Regression for Analyzing General Omics Data with Time-to-Event Phenotypes, Institute of Science and Technology Austria, 2024.

Algorithms for causal learning and comparative analysis for genomic data
N.N. Machnik, Algorithms for Causal Learning and Comparative Analysis for Genomic Data, Institute of Science and Technology Austria, 2024.

Causal inference for multiple risk factors and diseases from genomics data
N.N. Machnik, S.M. Mahmoudi, M. Borczyk, I. Krätschmer, M.J. Bauer, M.R. Robinson, BioRxiv (2024).

Refining epigenetic prediction of chronological and biological age
E. Bernabeu, D.L. Mccartney, D.A. Gadd, R.F. Hillary, A.T. Lu, L. Murphy, N. Wrobel, A. Campbell, S.E. Harris, D. Liewald, C. Hayward, C. Sudlow, S.R. Cox, K.L. Evans, S. Horvath, A.M. Mcintosh, M.R. Robinson, C.A. Vallejos, R.E. Marioni, Genome Medicine 15 (2023).

Using AlphaFold to predict the impact of single mutations on protein stability and function
M.A. Pak, K.A. Markhieva, M.S. Novikova, D.S. Petrov, I.S. Vorobyev, E. Maksimova, F. Kondrashov, D.N. Ivankov, PLoS ONE 18 (2023).

Genetic insights into the age-specific biological mechanisms governing human ovarian aging
S.E. Ojavee, L. Darrous, M. Patxot, K. Läll, K. Fischer, R. Mägi, Z. Kutalik, M.R. Robinson, American Journal of Human Genetics 110 (2023) 1549–1563.

Reply to: Revisiting the use of structural similarity index in Hi-C
E. Ing-Simmons, N.N. Machnik, J.M. Vaquerizas, Nature Genetics 55 (2023) 2053–2055.

Low-pT quarkonium polarization measurements: Challenges and opportunities
P. Faccioli, I. Krätschmer, C. Lourenço, Physics Letters B 840 (2023).

Genome and epigenomewide studies of plasma protein biomarkers for Alzheimer's disease implicate TBCA and TREM2 in disease risk
R.F. Hillary, D.A. Gadd, D.L. McCartney, L. Shi, A. Campbell, R.M. Walker, C.W. Ritchie, I.J. Deary, K.L. Evans, A.J. NevadoHolgado, C. Hayward, D.J. Porteous, A.M. McIntosh, S. Lovestone, M.R. Robinson, R.E. Marioni, Alzheimer’s &; Dementia: Diagnosis, Assessment &; Disease Monitoring 14 (2022).

Haematological changes from conception to childbirth: An indicator of major pregnancy complications
M. Patxot, M. Stojanov, S.E. Ojavee, R.P. Gobert, Z. Kutalik, M. Gavillet, D. Baud, M.R. Robinson, European Journal of Haematology 109 (2022) 566–575.

Blood-based epigenome-wide analyses of cognitive abilities
D.L. McCartney, R.F. Hillary, E.L.S. Conole, D.T. Banos, D.A. Gadd, R.M. Walker, C. Nangle, R. Flaig, A. Campbell, A.D. Murray, S.M. Maniega, M.D.C. Valdés-Hernández, M.A. Harris, M.E. Bastin, J.M. Wardlaw, S.E. Harris, D.J. Porteous, E.M. Tucker-Drob, A.M. McIntosh, K.L. Evans, I.J. Deary, S.R. Cox, M.R. Robinson, R.E. Marioni, Genome Biology 23 (2022).

Liability-scale heritability estimation for biobank studies of low-prevalence disease
S.E. Ojavee, Z. Kutalik, M.R. Robinson, The American Journal of Human Genetics 109 (2022) 2009–2017.

Improving GWAS discovery and genomic prediction accuracy in biobank data
E.J. Orliac, D. Trejo Banos, S.E. Ojavee, K. Läll, R. Mägi, P.M. Visscher, M.R. Robinson, Proceedings of the National Academy of Sciences of the United States of America 119 (2022).

Improving genome-wide association discovery and genomic prediction accuracy in biobank data
E. Orliac, D. Trejo Banos, S. Ojavee, K. Läll, R. Mägi, P. Visscher, M.R. Robinson, (2022).