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Record W3111507598 · doi:10.1186/s12916-020-01855-9

Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study

2020· article· en· W3111507598 on OpenAlex
Caroline J. Bull, Joshua A. Bell, Neil Murphy, Eleanor Sanderson, George Davey Smith, Nicholas J. Timpson, Barbara L. Banbury, Demetrius Albanes, Sonja I. Berndt, Stéphane Bezieau, D. Timothy Bishop, Hermann Brenner, Daniel D. Buchanan, Andrea N. Burnett‐Hartman, Graham Casey, Sergi Castellvı́-Bel, Andrew T. Chan, Jenny Chang‐Claude, Amanda J. Cross, Albert de la Chapelle, Jane C. Figueiredo, Steven Gallinger, Susan M. Gapstur, Graham G. Giles, Stephen B. Gruber, Andrea Gsur, Jochen Hampe, Heather Hampel, Tabitha A. Harrison, Michael Hoffmeister, Li Hsu, Wen‐Yi Huang, Jeroen R. Huyghe, Mark A. Jenkins, Corinne E. Joshu, Temitope O. Keku, Tilman Kühn, Sun‐Seog Kweon, Loı̈c Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Vicente Martín, Anne M. May, Roger L. Milne, Vı́ctor Moreno, Polly A. Newcomb, Kenneth Offit, Shuji Ogino, Amanda I. Phipps, Elizabeth A. Platz, John D. Potter, Conghui Qu, J. Ramón Quirós, Gad Rennert, Elio Ríboli, Lori C. Sakoda, Clemens Schafmayer, Robert E. Schoen, Martha L. Slattery, Catherine M. Tangen, Cornelia M. Ulrich, Fränzel J.B. van Duijnhoven, Bethany Van Guelpen, Kala Visvanathan, Pavel Vodička, Ludmila Vodičková, Hansong Wang, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Peter T. Campbell, Wei Zheng, Ulrike Peters, Emma E. Vincent, Marc J. Gunter

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Medicine · 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 Center for Advancing Translational SciencesNational Institute of Environmental Health SciencesNational Institute on AgingMedicinska fakulteten, Umeå UniversitetInstituto de Salud Carlos IIINational Human Genome Research InstituteCancer Council VictoriaOntario Ministry of Research and InnovationNational Health and Medical Research CouncilNational Institute of Diabetes and Digestive and Kidney DiseasesWorld Cancer Research FundMedical Research CouncilCenters for Disease Control and PreventionChonnam National University Hwasun HospitalHellenic Health FoundationJunta de Castilla y LeónXunta de GaliciaMutuelle Générale de l'Education NationaleElizabeth Blackwell Institute for Health Research, University of BristolDeutsche KrebshilfeAssociazione Italiana per la Ricerca sul CancroNordForskVetenskapsrådetNational Cancer InstituteFundación Científica Asociación Española Contra el CáncerMinisterio de Economía y CompetitividadBundesministerium für Bildung und ForschungZonMwCanadian Cancer Society Research InstituteInstitut National de la Santé et de la Recherche MédicaleDamon Runyon Cancer Research FoundationUniversity of BristolChonnam National UniversityCentres de Recerca de CatalunyaUmeå UniversitetMinisterstvo Zdravotnictví Ceské RepublikyGroupement des Entreprises Françaises dans la lutte contre le CancerCentre Hospitalier Universitaire de NantesEuropean CommissionCancerfondenCanadian Institutes of Health ResearchDiabetes UKGeneralitat de CatalunyaFood Standards AgencyAmerican Institute for Cancer ResearchKempe FoundationConseil Régional des Pays de la LoireMatthias Lackas-StiftungGénome QuébecKWF KankerbestrijdingWageningen University and ResearchCancer Research UKXarxa de Bancs de Tumors de CatalunyaWorld Health OrganizationMemorial Sloan-Kettering Cancer CenterWellcome TrustPelotoniaWellcomeMoffitt Cancer CenterInstitut Gustave-RoussyGrantová Agentura České RepublikyJohns Hopkins UniversityCentre International de Recherche sur le CancerLigue Contre le CancerDeutsches KrebsforschungszentrumAgència de Gestió d'Ajuts Universitaris i de RecercaNational Institute for Health and Care ResearchCancer Research Foundation in Northern SwedenHarvard T.H. Chan School of Public HealthNational Heart, Lung, and Blood InstituteFlorida Department of HealthNational Institutes of HealthMike and Josie Harper Cancer Research InstituteUniversity of PittsburghWorld Cancer Research Fund InternationalMcGill UniversityAssociation Anne de Bretagne GenetiqueU.S. Department of Health and Human ServicesWereld Kanker Onderzoek FondsBrigham and Women's HospitalAmerican Cancer SocietyUniversity of South Florida
KeywordsMendelian randomizationMedicineColorectal cancerBody mass indexOdds ratioInternal medicineOncologyConfidence intervalGenome-wide association studyCancerWaist–hip ratioWaistEndocrinologySingle-nucleotide polymorphismGeneticsGenotypeGenetic variantsBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. METHODS: We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. RESULTS: ) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. CONCLUSIONS: Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.

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.

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)0.001
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 score0.032
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.021
GPT teacher head0.291
Teacher spread0.270 · 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