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Epidemiological methods for studying genes and environmental factors in complex diseases
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A comparison of prospective and retrospective assessments of diet in the study of breast cancer
Giovannucci, E., stampfer, M. J., Colditz, G. A., Manson, J. E., Rosner, B. A., Longnecker, M., Speizer, F. E., & Willett, W. C. (1993) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116703 · Cited by 207
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The preterm parturition syndrome
Romero, R., Espinoza, J., Kusanovic, J., Gotsch, F., Hassan, S., Erez, O., Chaiworapongsa, T., & Mazor, M. (2006) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2006.01120.x · Cited by 1,419
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Smith, G. D. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh132 · Cited by 1,222
Kim-Cohen, J., Caspi, A., Taylor, A., Williams, B., Newcombe, R., Craig, I. W., & Moffitt, T. E. (2006) · Molecular Psychiatry · doi:10.1038/sj.mp.4001851 · Cited by 1,158
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Hunter, D. J. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1578 · Cited by 1,132
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Thanassoulis, G., Campbell, C. Y., Owens, D. S., Smith, J. G., Smith, A. V., Peloso, G. M., Kerr, K. F., Pechlivanis, S., Budoff, M. J., Harris, T. B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1109034 · Cited by 1,008
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Smith, G. D., & Ebrahim, S. (2005) · BMJ · doi:10.1136/bmj.330.7499.1076 · Cited by 545
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Reddy, K. S., & Katan, M. B. (2004) · Public Health Nutrition · doi:10.1079/phn2003587 · Cited by 487
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Barnett, J. H., Scoriels, L., & Munafò, M. R. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.01.005 · Cited by 412
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Zondervan, K. T., Cardon, L. R., & Kennedy, S. H. (2002) · Human Reproduction · doi:10.1093/humrep/17.6.1415 · Cited by 271
Egger, M., Ebrahim, S., & Smith, G. D. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.1 · Cited by 160
Using genetic markers to orient the edges in quantitative trait networks: The NEO software
Aten, J. E., Fuller, T. F., Lusis, A. J., & Horvath, S. (2008) · BMC Systems Biology · doi:10.1186/1752-0509-2-34 · Cited by 147
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Boffetta, P., Winn, D. M., Ioannidis, J. P., Thomas, D. C., Little, J., Smith, G. D., Cogliano, V. J., Hecht, S. S., Seminara, D., Vineis, P., et al. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys010 · Cited by 48
Understanding asthma and allergies by the lens of biodiversity and epigenetic changes
Fiuza, B. S. D., Fonseca, H. F., Meirelles, P. M., Marques, C. R., da Silva, T. M., & Figueiredo, C. A. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.623737 · Cited by 38
The study of gene environment interactions in psychiatry: Limited gains at a substantial cost?
Zammit, S., Wiles, N., & Lewis, G. (2010) · Psychological Medicine · doi:10.1017/s0033291709991280 · Cited by 25
Capitalizing on Mendelian randomization to assess the effects of treatments
Smith, G. D. (2007) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.100.9.432 · Cited by 60
HLA, day care attendance, and socio-economic status in young patients with type 1 diabetes
Kaila, B., Dean, H. J., Schroeder, M., & Taback, S. P. (2003) · Diabetic Medicine · doi:10.1046/j.1464-5491.2003.01005.x · Cited by 9
Metadata
- Authors
- Clayton, D., & McKeigue, P. M.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2001-10
- Volume
- 358
- Issue
- 9290
- Pages
- 1356-1360
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2128463395
- Cited by
- 470
- References
- 2
- FWCI
- 18.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.