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).

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.

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).

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).

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.

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).

Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
M. Patxot, D. Trejo Banos, A. Kousathanas, E.J. Orliac, S.E. Ojavee, G. Moser, J. Sidorenko, Z. Kutalik, R. Magi, P.M. Visscher, L. Ronnegard, M.R. Robinson, Nature Communications 12 (2021).

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
S.E. Ojavee, A. Kousathanas, D. Trejo Banos, E.J. Orliac, M. Patxot, K. Lall, R. Magi, K. Fischer, Z. Kutalik, M.R. Robinson, Nature Communications 12 (2021).

Probabilistic inference of the genetic architecture of functional enrichment of complex traits
M.R. Robinson, (2021).

Blood-based epigenome-wide analyses of cognitive abilities
D.L. McCartney, R.F. Hillary, E.L. Conole, D. Trejo Banos, D.A. Gadd, R.M. Walker, C. Nangle, R. Flaig, A. Campbell, A.D. Murray, S. Munoz Maniega, M. del C Valdes-Hernandez, 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, (2021).

Postpartum hemorrhage risk is driven by changes in blood composition through pregnancy
M.R. Robinson, M. Patxot, M. Stojanov, S. Blum, D. Baud, Scientific Reports 11 (2021).

Quantification of the overall contribution of gene-environment interaction for obesity-related traits
J. Sulc, N. Mounier, F. Günther, T. Winkler, A.R. Wood, T.M. Frayling, I.M. Heid, M.R. Robinson, Z. Kutalik, Nature Communications 11 (2020).

Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
M.F. Nabais, T. Lin, B. Benyamin, K.L. Williams, F.C. Garton, A.A.E. Vinkhuyzen, F. Zhang, C.L. Vallerga, R. Restuadi, A. Freydenzon, R.A.J. Zwamborn, P.J. Hop, M.R. Robinson, J. Gratten, P.M. Visscher, E. Hannon, J. Mill, M.A. Brown, N.G. Laing, K.A. Mather, P.S. Sachdev, S.T. Ngo, F.J. Steyn, L. Wallace, A.K. Henders, M. Needham, J.H. Veldink, S. Mathers, G. Nicholson, D.B. Rowe, R.D. Henderson, P.A. McCombe, R. Pamphlett, J. Yang, I.P. Blair, A.F. McRae, N.R. Wray, Npj Genomic Medicine 5 (2020).

Bayesian reassessment of the epigenetic architecture of complex traits
D. Trejo Banos, D. McCartney, M. Patxot, L. Anchieri, T. Battram, C. Christiansen, R. Costeira, R. Walker, S. Morris, A. Campbell, Q. Zhang, D. Porteous, A. McRae, N. Wray, P. Visscher, C. Haley, K. Evans, I. Deary, A. McIntosh, G. Hemani, J. Bell, R. Marioni, M.R. Robinson, Nature Communications 11 (2020).

Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults
R.F. Hillary, D. Trejo-Banos, A. Kousathanas, D.L. Mccartney, S.E. Harris, A.J. Stevenson, M. Patxot, S.E. Ojavee, Q. Zhang, D.C. Liewald, C.W. Ritchie, K.L. Evans, E.M. Tucker-Drob, N.R. Wray, A.F. Mcrae, P.M. Visscher, I.J. Deary, M.R. Robinson, R.E. Marioni, Genome Medicine 12 (2020).

Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults
R.F. Hillary, D. Trejo-Banos, A. Kousathanas, D.L. McCartney, S.E. Harris, A.J. Stevenson, M. Patxot, S.E. Ojavee, Q. Zhang, D.C. Liewald, C.W. Ritchie, K.L. Evans, E.M. Tucker-Drob, N.R. Wray, A.F. McRae, P.M. Visscher, I.J. Deary, M.R. Robinson, R.E. Marioni, (2020).

Accurate, scalable and integrative haplotype estimation
O. Delaneau, J.-F. Zagury, M.R. Robinson, J.L. Marchini, E.T. Dermitzakis, Nature Communications 10 (2019).

Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel
R.P.J. Bevers, M. Litovchenko, A. Kapopoulou, V.S. Braman, M.R. Robinson, J. Auwerx, B. Hollis, B. Deplancke, Nature Metabolism 1 (2019) 1226–1242.

Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank
J. Sulc, N. Mounier, F. Günther, T. Winkler, A.R. Wood, T.M. Frayling, I.M. Heid, M.R. Robinson, Z. Kutalik, BioRxiv (2019).