0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessTumour-promoting inflammation is a "hallmark" of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear.
James Yarmolinsky, Jamie Robinson, Daniela Mariosa, Ville Karhunen, Jian Huang, Niki Dimou, Neil Murphy, Kimberley Burrows, Emmanouil Bouras, Karl Smith‐Byrne, Sarah J. Lewis, Tessel E. Galesloot, Lambertus A. Kiemeney, Sita H. Vermeulen, Paul Martin, Demetrius Albanes, Lifang Hou, Polly A. Newcomb, Emily White, Alicja Wolk, Anna H. Wu, Loı̈c Le Marchand, Amanda I. Phipps, Daniel D. Buchanan, Sizheng Steven Zhao, Dipender Gill, Stephen J. Chanock, Mark P. Purdue, George Davey Smith, Paul Brennan, Karl‐Heinz Herzig, Paul M Ridker, Abbas Dehghan, Mattias Johansson, Marc J. Gunter, Konstantinos K. Tsilidis, Richard M. Martin (2023). Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. , DOI: https://doi.org/10.1101/2023.05.04.23289196.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2023
Authors
37
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1101/2023.05.04.23289196
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
