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Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer
| dc.contributor.author | Sun, R. | |
| dc.contributor.author | Xu, M. | |
| dc.contributor.author | Li, X. | |
| dc.contributor.author | Gaynor, S. | |
| dc.contributor.author | Zhou, H. | |
| dc.contributor.author | Li, Z. | |
| dc.contributor.author | Bossé, Y. | |
| dc.contributor.author | Lam, S. | |
| dc.contributor.author | Tsao, M. S. | |
| dc.contributor.author | Tardón García, Adonina | |
| dc.date.accessioned | 2021-06-01T09:45:19Z | |
| dc.date.available | 2021-06-01T09:45:19Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Genetic Epidemiology, 45, p. 99-114 (2021); doi:10.1002/gepi.22358 | |
| dc.identifier.issn | 0741-0395 | |
| dc.identifier.uri | http://hdl.handle.net/10651/58997 | |
| dc.description.sponsorship | Cancer Prevention Institute of Texas [RR170048]; United States Department of Health & Human Services, National Institutes of Health (NIH) - USA [P42-ES016454, R01-HL113338, R35-CA197449, T32-ES007142, U01CA209414, U19CA203654] | |
| dc.description.statementofresponsibility | Sun, R., Xu, M., Li, X., Gaynor, S., Zhou, H., Li, Z., Bossé, Y., Lam, S., Tsao, M.-S., Tardon, A., Chen, C., Doherty, J., Goodman, G., Bojesen, S.E., Landi, M.T., Johansson, M., Field, J.K., Bickeböller, H., Wichmann, H.-E., Risch, A., Rennert, G., Arnold, S., Wu, X., Melander, O., Brunnström, H., Le Marchand, L., Liu, G., Andrew, A., Duell, E., Kiemeney, L.A., Shen, H., Haugen, A., Johansson, M., Grankvist, K., Caporaso, N., Woll, P., Dawn Teare, M., Scelo, G., Hong, Y.-C., Yuan, J.-M., Lazarus, P., Schabath, M.B., Aldrich, M.C., Albanes, D., Mak, R., Barbie, D., Brennan, P., Hung, R.J., Amos, C.I., Christiani, D.C., Lin, X. | |
| dc.format.extent | p. 99-114 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Genetic Epidemiology | |
| dc.rights | © 2020 Wiley Periodicals LLC | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090970574&doi=10.1002%2fgepi.22358&partnerID=40&md5=26b90f294c2f939e5be8e4d4080415c1 | |
| dc.title | Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1002/gepi.22358 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1002/gepi.22358 |
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