We develop structural-equation-modelling techniques to describe genomic variance in unrelated individuals, as captured by genetic relationship matrices (GRMs), analogous to twin research methodologies.

Methods are developed in collaboration with the University of Bristol, University of Cologne and A & M Texas University.

Example publications

Shapland, C. Y., Verhoef, E., Smith, G. D., Fisher, S. E., Verhulst, B., Dale, P. S., & Pourcain, B. S. (2021). Multivariate genome-wide covariance analyses of literacy, language and working memory skills reveal distinct etiologies. npj Sci. Learn. 6, 23 (2021). https://doi.org/10.1038/s41539-021-00101-y

St Pourcain, B., Eaves, L. J., Ring, S. M., Fisher, S. E., Medland, S., Evans, D. M., & Smith, G. D. (2018). Developmental changes within the genetic architecture of social communication behaviour: A multivariate study of genetic variance in unrelated individuals. Biological Psychiatry, 83(7), 598-606. doi:10.1016/j.biopsych.2017.09.020.

Genetic Relationship Matrix, Shapland et al. 2021

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