Summary data and other resources

GWAS and EWAS datasets

Hillary, F.R., et al. (2019). Genome and epigenome wide studies of neurological protein biomarkers in the Lothian Birth Cohort 1936. Nature Communications. [GWAS and EWAS datasets]

Hill, W.D., et al. (2019). Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income. Nature Communications. [dataset]

Hill, W.D., et al. (2019). Genetic contributions to two special factors of neuroticism are associated with affluence, higher intelligence, better health, and longer life. Molecular Psychiatry. [dataset]

Luciano, M., et al. (2019). The influence of X chromosome variants on trait neuroticism. Molecular Psychiatry. [dataset]

Marioni, R., et al. (2018). GWAS on family history of Alzheimer's disease. Translational Psychiatry. [dataset]

Davies, G., et al. (2018). Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications, 9(1), 1-16 2098. [dataset]

Deary, V., et al. (2018). Genetic contributions to self-reported tiredness. Molecular Psychiatry, 23(3), 609-620. [dataset]

Luciano, M., et al. (2018). Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism. Nature Genetics, 50(1), 6-11. [dataset]

Hagenaars, S.P., et al. (2017). Genetic prediction of male pattern baldness. PLOS Genetics, 13(2), e1006594. [dataset]

Harris, S.E., et al. (2017). Molecular genetic contributions to self-rated health. International Journal of Epidemiology, 46(3), 994-1009. [dataset]

Hill, W.D., et al. (2016). Molecular genetic contributions to social deprivation and household income in UK Biobank. Current Biology, 26(22), 3083-3089. [dataset]

Davies, G., et al. (2016). Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151). Molecular Psychiatry, 21(6), 758-767. [dataset]

Software

Deary, I.J., et al. (2011). A free, easy-to-use, copmuter-based simple and four-choice reaction time programme: The Deary-Liewald reaction time task. Behavior Research Methods, 43(1), 258-268. [software]

Other resources

Dr Susan Shenkin's step-by-step online guide for systematic reviews and meta-analyses [presentation]