UK biobank data: come and get it

The UK Biobank sample handling and storage protocol for the collection, processing and archiving of human blood and urine

Elliott, P., Peakman, T. C., & Biobank, O. B. O. U. (2008) · International Journal of Epidemiology · doi:10.1093/ije/dym276 · Cited by 996 · see citing works

UK Biobank: bank on it

Palmer, L. J. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60924-6 · Cited by 377 · see citing works

Genes, environment and the value of prospective cohort studies

Manolio, T. A., Wilson, J., & Collins, F. S. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1919 · Cited by 317 · see citing works

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005 · see citing works

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0326-7 · Cited by 2,565 · see citing works

Triangulation in aetiological epidemiology

Lawlor, D. A., Tilling, K., & Davey Smith, G. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyw314 · Cited by 1,129 · see citing works

Commentary: Two-sample Mendelian randomization: opportunities and challenges

Lawlor, D. A. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw127 · Cited by 810 · see citing works

Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3869 · Cited by 490 · see citing works

Genetic architecture: the shape of the genetic contribution to human traits and disease

Timpson, N. J., Greenwood, C. M. T., Soranzo, N., Lawson, D. J., & Richards, J. B. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.101 · Cited by 434 · see citing works

Frequency and phenotype of type 1 diabetes in the first six decades of life: a cross-sectional, genetically stratified survival analysis from UK Biobank

Thomas, N. J., Jones, S. E., Weedon, M. N., Shields, B. M., Oram, R. A., & Hattersley, A. T. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30362-5 · Cited by 417 · see citing works

Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank

Lane, J. M., Vlasac, I., Anderson, S. G., Kyle, S. D., Dixon, W. G., Bechtold, D. A., Gill, S., Little, M. A., Luik, A., Loudon, A., et al. (2016) · Nature Communications · doi:10.1038/ncomms10889 · Cited by 312 · see citing works

Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits

Hammerschlag, A. R., Stringer, S., de Leeuw, C. A., Sniekers, S., Taskesen, E., Watanabe, K., Blanken, T. F., Dekker, K., te Lindert, B. H. W., Wassing, R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3888 · Cited by 289 · see citing works

Privacy in the Genomic Era

Naveed, M., Ayday, E., Clayton, E. W., Fellay, J., Gunter, C. A., Hubaux, J.-P., Malin, B. A., & Wang, X. (2015) · ACM Computing Surveys · doi:10.1145/2767007 · Cited by 261 · see citing works

Biological embedding of experience: a primer on epigenetics

Aristizabal, M. J., Anreiter, I., Halldorsdottir, T., Odgers, C. L., McDade, T. W., Goldenberg, A., Mostafavi, S., Kobor, M. S., Binder, E. B., Sokolowski, M. B., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820838116 · Cited by 268 · see citing works

Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies

Travis, R. C., Balkwill, A., Fensom, G. K., Appleby, P. N., Reeves, G. K., Wang, X.-S., Roddam, A. W., Gathani, T., Peto, R., Green, J., et al. (2016) · Journal of the National Cancer Institute · doi:10.1093/jnci/djw169 · Cited by 192 · see citing works

Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach

Mostert, M., Bredenoord, A. L., Biesaart, M. C. I. H., & van Delden, J. J. M. (2016) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.239 · Cited by 143 · see citing works

Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure

Visconti, A., Duffy, D. L., Liu, F., Zhu, G., Wu, W., Chen, Y., Hysi, P. G., Zeng, C., Sanna, M., Iles, M. M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04086-y · Cited by 103 · see citing works

Repurposing antihypertensive drugs for the prevention of Alzheimer’s disease: a Mendelian Randomization study

Walker, V. M., Kehoe, P. G., Martin, R. M., & Davies, N. M. (2018) · doi:10.1101/486878 · Cited by 96

The causes and consequences of Alzheimer's disease: phenome-wide evidence from mendelian randomization

Korologou-Linden, R., Bhatta, L., Brumpton, B. M., Howe, L. D., Millard, L. A. C., Kolaric, K., Ben-Shlomo, Y., Williams, D. M., Smith, G. D., Anderson, E. L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32183-6 · Cited by 71 · see citing works

Genetic evidence that lower circulating FSH levels lengthen menstrual cycle, increase age at menopause and impact female reproductive health

Ruth, K. S., Beaumont, R. N., Tyrrell, J., Jones, S. E., Tuke, M. A., Yaghootkar, H., Wood, A. R., Freathy, R. M., Weedon, M. N., Frayling, T. M., et al. (2016) · Human Reproduction · doi:10.1093/humrep/dev318 · Cited by 70 · see citing works

Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes

Chung, W., Chen, J., Turman, C., Lindstrom, S., Zhu, Z., Loh, P.-R., Kraft, P., & Liang, L. (2019) · Nature Communications · doi:10.1038/s41467-019-08535-0 · Cited by 60 · see citing works

Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction

Gao, X. R., Chiariglione, M., Qin, K., Nuytemans, K., Scharre, D. W., Li, Y.-J., & Martin, E. R. (2023) · Scientific Reports · doi:10.1038/s41598-023-27551-1 · Cited by 45 · see citing works

Investigating evidence for a causal association between inflammation and self-harm: A multivariable Mendelian Randomisation study

Russell, A. E., Ford, T., Gunnell, D., Heron, J., Joinson, C., Moran, P., Relton, C., Suderman, M., Hemani, G., & Mars, B. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.05.065 · Cited by 39 · see citing works

Sleep trajectories and mediators of poor sleep: findings from the longitudinal analysis of 41,094 participants of the UK Biobank cohort

Fatima, Y., Bucks, R. S., Mamun, A. A., Skinner, I., Rosenzweig, I., Leschziner, G., & Skinner, T. C. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.10.020 · Cited by 38 · see citing works

Using Genetic Instruments to Estimate Interactions in Mendelian Randomization Studies

North, T.-L., Davies, N. M., Harrison, S., Carter, A. R., Hemani, G., Sanderson, E., Tilling, K., & Howe, L. D. (2019) · Epidemiology · doi:10.1097/ede.0000000000001096 · Cited by 19 · see citing works

Integrating biomedical and clinical data with BioBank Japan

Tanaka, T., Nagata, Y., & Takemoto, A. (2022) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00105-w · Cited by 3 · see citing works

Russian National Association of Biobanks and Biobanking Specialists — a tool for integrating Russian biobanks and increasing the efficiency of biomedical research Drapkina O. M.

Drapkina, O. M. (2020) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2020-2757 · Cited by 11 · see citing works

Types of Biobanks

Gramatiuk, S., & Huppertz, B. (2022) · Springer eBooks · doi:10.1007/978-3-030-87637-1_3 · Cited by 3 · see citing works

The Significance of Biobanking in the Sustainability of Biomedical Research: A Review

Zohouri, M., & Ghaderi, A. A. (2020) · Iranian Biomedical Journal · doi:10.29252/ibj.24.4.206 · Cited by 18 · see citing works

MGA Biobank - A Multispecialistic Project Biobank in Slovakia

Hirjakova, P. (2023) · Biomedical Journal of Scientific & Technical Research · doi:10.26717/bjstr.2023.51.008052