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Record W3004290453 · doi:10.1038/s41467-020-14389-8

Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

2020· article· en· W3004290453 on OpenAlexaff
Nikos Papadimitriou, Niki Dimou, Konstantinos K. Tsilidis, Barbara L. Banbury, Richard M. Martin, Sarah J. Lewis, Nabila Kazmi, Tim Robinson, Demetrius Albanes, Krasimira Aleksandrova, Sonja I. Berndt, D. Timothy Bishop, Hermann Brenner, Daniel D. Buchanan, Bas Bueno‐de‐Mesquita, Peter T. Campbell, Sergi Castellvı́-Bel, Andrew T. Chan, Jenny Chang‐Claude, Merete Ellingjord‐Dale, Jane C. Figueiredo, Steven Gallinger, Graham G. Giles, Edward L. Giovannucci, Stephen B. Gruber, Andrea Gsur, Jochen Hampe, Heather Hampel, Sophia Harlid, Tabitha A. Harrison, Michael Hoffmeister, John L. Hopper, Li Hsu, José María Huerta, Jeroen R. Huyghe, Mark A. Jenkins, Temitope O. Keku, Tilman Kühn, Carlo La Vecchia, Loı̈c Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Noralane M. Lindor, Brigid M. Lynch, Sanford D. Markowitz, Giovanna Masala, Anne M. May, Roger L. Milne, Evelyn M. Monninkhof, Lorena Moreno, Vı́ctor Moreno, Polly A. Newcomb, Kenneth Offit, Vittorio Perduca, Paul D.P. Pharoah, Elizabeth A. Platz, John D. Potter, Gad Rennert, Elio Ríboli, María‐José Sánchez, Stephanie L. Schmit, Robert E. Schoen, Gianluca Severi, Sabina Sieri, Martha L. Slattery, Mingyang Song, Catherine M. Tangen, Stephen N. Thibodeau, Ruth C. Travis, Antonia Trichopoulou, Cornelia M. Ulrich, Franzel J. B. van Duijnhoven, Bethany Van Guelpen, Pavel Vodička, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Ulrike Peters, Marc J. Gunter, Neil Murphy

Bibliographic record

VenueNature Communications · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMemorial University of NewfoundlandLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
FundersNational Institute of Environmental Health SciencesNational Institute for Health and Care ResearchDepartment of Health and Social CareNational Cancer InstituteNational Institutes of HealthCancer Research UKCentre International de Recherche sur le CancerWorld Health Organization
KeywordsBreast cancerMedicineColorectal cancerOncologyOdds ratioConfidence intervalInternal medicineCancerEpidemiologyGynecology

Abstract

fetched live from OpenAlex

Abstract Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER +ve ) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.348
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations697
Published2020
Admission routes1
Has abstractyes

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