HRS Bibliography

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S

Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.

G

Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.

C

Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.

A

Zhang A, Zhang Y, Meng Y, et al. Associations between psychological resilience and epigenetic clocks in the health and retirement study. GeroScience. Forthcoming. doi:10.1007/s11357-023-00940-0.
Zhan Y, Clements MS, Roberts RO, et al. Association of telomere length with general cognitive trajectories: a meta-analysis of four prospective cohort studies. Neurobiology of Aging. 2018;69:111 - 116. doi:10.1016/j.neurobiolaging.2018.05.004.