Draft:Stephen Burgess
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Submission declined on 26 August 2026 by Absurdum4242 (talk). There has not been enough of a change to the written prose of the article to overcome the last reviewers concerns about LLM issues. Please rewrite the article in simple sentences using your own words before reapplying again for review. Thanks and keep up the good work. Declined by Absurdum4242 38 days ago. | |
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Declined by Sulfurboy 45 days ago.Please delete the portions which were LLM-generated, and summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have used an LLM but you believe that your use is covered by one of the two exceptions (basic copyediting and translation between two languages in which you are fully fluent), please provide a transcript of the prompt(s) you used while writing your draft (see the how-to guide). Reviewers can make mistakes. If you have not received any LLM assistance, you may seek a second opinion at the AfC Help Desk. See the advice page on large language models for more information. | |
Comment: Undoubtedly notable, however we cannot accept drafts that used AI assistance. Please re-write this in your own words from the top down using sources that you validate. Sulfurboy (talk) 09:01, 19 August 2026 (UTC)
Stephen Burgess | |
|---|---|
 | |
| Born | 1983 (age 42–43) |
| Alma mater | University of Cambridge (BA, MMath, PhD) |
| Known for | Mendelian randomization, causal inference |
| Awards | Clarivate Highly Cited Researcher (2019–2025) |
| Scientific career | |
| Fields | Statistics, Epidemiology |
| Workplaces | MRC Biostatistics Unit, University of Cambridge |
| Simon G. Thompson | |
Stephen Burgess
[edit]Stephen Burgess (born 1983) is a British statistician and genetic epidemiologist. He is a Research Professor at the University of Cambridge and a Programme Leader at the MRC Biostatistics Unit. His primary area of research is the development of statistical methods for Mendelian randomization and causal inference using genetic data.[1][2]
Education
[edit]Burgess studied mathematics at Emmanuel College, Cambridge, receiving a Bachelor of Arts degree in 2005 and a Master of Mathematics degree in 2006.[1]
He completed a PhD at the University of Cambridge's MRC Biostatistics Unit in 2012. His doctoral research examined the use of genetic instrumental variables in Mendelian randomization analyses.[3]
Career
[edit]After completing his doctorate, Burgess joined the Cardiovascular Epidemiology Unit in the University of Cambridge's Department of Public Health and Primary Care. In 2013, he received a Sir Henry Wellcome Postdoctoral Fellowship.[1]
In 2017, he was appointed Programme Leader Track at the MRC Biostatistics Unit. [2] He became a Programme Leader in 2022 and a Research Professor in 2025. He still maintains an affiliation with the Cardiovascular Epidemiology Unit. Additionally, he has been a fellow at Homerton College, Cambridge since 2014.[4][5]
Burgess is Director of Statistics at Sequoia Genetics.[6]
He has served as an associate editor of the International Journal of Epidemiology and previously served as an associate editor of the American Journal of Human Genetics.[7][8] He is a member of the steering committee of the European Causal Inference Meeting.[9]
Research
[edit]Burgess's research focuses on methods for Mendelian randomization, including approaches to address pleiotropy, in which genetic variants affect more than one biological pathway. Pleiotropic genetic variants can lead to biased estimates and invalid causal claims. He has also contributed to methods that use summary data from genome-wide association studies rather than individual-level data.[10][11]
His work includes Mendelian randomization applications in cardiovascular disease, cancer, and metabolic disease research.[12][13] He helped develop reporting guidance for Mendelian randomization studies.[14]
Publications and software
[edit]Burgess has co-authored publications in statistics, epidemiology, genetics and medicine.[15]
With Simon G. Thompson, he wrote Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation, published in 2015, and its second edition, Mendelian Randomization: Methods for Causal Inference Using Genetic Variants, published in 2021.[16]
He maintains the R package MendelianRandomization, which is used to conduct Mendelian randomization analyses.[17]
Books
[edit]- Burgess, S.; Thompson, S.G. (2015). Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation. Chapman & Hall/CRC.
- Burgess, S.; Thompson, S.G. (2021). Mendelian Randomization: Methods for Causal Inference Using Genetic Variants. Chapman & Hall/CRC.
Selected publications
[edit]- Burgess, S.; Butterworth, A.; Thompson, S. G. (2013). "Mendelian randomization analysis with multiple genetic variants using summarized data". Genetic Epidemiology. 37 (7): 658–665. doi:10.1002/gepi.21758. PMC 4377079. PMID 24114802.
- Bowden, J.; Davey Smith, G.; Burgess, S. (2015). "Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression". International Journal of Epidemiology. 44 (2): 512–525. doi:10.1093/ije/dyv080. PMC 4469799. PMID 26050253.
- Bowden, J.; Davey Smith, G.; Haycock, P. C.; Burgess, S. (2016). "Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator". Genetic Epidemiology. 40 (4): 304–314. doi:10.1002/gepi.21965. PMC 4849733. PMID 27061298.
- Burgess, S.; Davey Smith, G.; Davies, N.; et al. (2020). "Guidelines for performing Mendelian randomization investigations". Wellcome Open Research. 4: 186. doi:10.12688/wellcomeopenres.15555.3. PMC 7384151. PMID 32760811.
- Burgess, S.; Ference, B.; Staley, J.; et al. (2018). "Association of LPA variants with risk of coronary disease and the implications for lipoprotein(a)-lowering therapies: a Mendelian randomization analysis". JAMA Cardiology. 3 (7): 619–627. doi:10.1001/jamacardio.2018.1470. PMC 6481553. PMID 29926099.
References
[edit]- 1 2 3 "Stephen Burgess". University of Cambridge, School of Clinical Medicine. 18 August 2026. Retrieved 1 September 2026.
- 1 2 "Stephen Burgess". MRC Biostatistics Unit, University of Cambridge. 17 June 2024. Retrieved 1 September 2026.
- ↑ Burgess, Stephen (2012). Statistical issues in Mendelian randomization: use of genetic instrumental variables for assessing causal associations (Thesis). University of Cambridge. doi:10.17863/CAM.16219. Retrieved 1 September 2026.
- ↑ "Stephen Burgess". Homerton College, University of Cambridge. Retrieved 1 September 2026.
- ↑ "The Homertonian 2022". Homerton College, University of Cambridge. 11 August 2022. Retrieved 1 September 2026.
- ↑ "Professor Stephen Burgess". Sequoia Genetics. 25 May 2026. Retrieved 1 September 2026.
- ↑ "Editorial Board". International Epidemiological Association. Retrieved 1 September 2026.
- ↑ "Editorial Board". The American Journal of Human Genetics. Retrieved 1 September 2026.
- ↑ "Steering committee". European Causal Inference Meeting. Retrieved 1 September 2026.
- ↑ Bowden, J.; Davey Smith, G.; Burgess, S. (2015). "Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression". International Journal of Epidemiology. 44 (2): 512–525. doi:10.1093/ije/dyv080. PMC 4469799. PMID 26050253.
- ↑ Burgess, S.; Butterworth, A.; Thompson, S. G. (2013). "Mendelian randomization analysis with multiple genetic variants using summarized data". Genetic Epidemiology. 37 (7): 658–665. doi:10.1002/gepi.21758. PMC 4377079. PMID 24114802.
- ↑ Burgess, S.; Ference, B.; Staley, J.; et al. (2018). "Association of LPA variants with risk of coronary disease and the implications for lipoprotein(a)-lowering therapies: a Mendelian randomization analysis". JAMA Cardiology. 3 (7): 619–627. doi:10.1001/jamacardio.2018.1470. PMC 6481553. PMID 29926099.
- ↑ Larsson, S. C.; Carter, P.; Kar, S.; et al. (2020). "Smoking, alcohol consumption and cancer: A Mendelian randomisation study in UK Biobank and international genetic consortia participants". PLOS Medicine. 17 (7) e1003178. doi:10.1371/journal.pmed.1003178. PMC 7377370. PMID 32701947.
- ↑ Burgess, S.; Davey Smith, G.; Davies, N.; et al. (2020). "Guidelines for performing Mendelian randomization investigations". Wellcome Open Research. 4: 186. doi:10.12688/wellcomeopenres.15555.3. PMC 7384151. PMID 32760811.
- ↑ "Highly Cited Researchers 2025". Clarivate. 7 October 2025. Retrieved 1 September 2026.
- ↑ "Mendelian Randomization - Courses". mendelianrandomization.com. Retrieved 1 September 2026.
- ↑ "MendelianRandomization". CRAN. Retrieved 1 September 2026.
External links
[edit]- Staff profile, MRC Biostatistics Unit
- Staff profile, University of Cambridge School of Clinical Medicine
- Stephen Burgess publications on Google Scholar
- Official website
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Please delete the portions which were LLM-generated, and summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have used an LLM but you believe that your use is covered by one of the two exceptions (basic copyediting and translation between two languages in which you are fully fluent), please provide a transcript of the prompt(s) you used while writing your draft (see the how-to guide). Reviewers can make mistakes. If you have not received any LLM assistance, you may seek a second opinion at the AfC Help Desk.
See the advice page on large language models for more information.