Home > Publications database > Genome-Wide Interaction Analysis of Genetic Variants with Menopausal Hormone Therapy for Colorectal Cancer Risk. > print |
001 | 180090 | ||
005 | 20240229145604.0 | ||
024 | 7 | _ | |a 10.1093/jnci/djac094 |2 doi |
024 | 7 | _ | |a pmid:35512400 |2 pmid |
024 | 7 | _ | |a 0027-8874 |2 ISSN |
024 | 7 | _ | |a 0198-0157 |2 ISSN |
024 | 7 | _ | |a 1460-2105 |2 ISSN |
024 | 7 | _ | |a altmetric:127755391 |2 altmetric |
037 | _ | _ | |a DKFZ-2022-01089 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Tian, Yu |0 P:(DE-He78)834e8bc4d74592e3b999100c157215f5 |b 0 |e First author |u dkfz |
245 | _ | _ | |a Genome-Wide Interaction Analysis of Genetic Variants with Menopausal Hormone Therapy for Colorectal Cancer Risk. |
260 | _ | _ | |a Oxford |c 2022 |b Oxford Univ. Press |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1660221706_9237 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a #EA:C020#LA:C020# / 2022 Aug 8;114(8):1135-1148 |
520 | _ | _ | |a The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk.We conducted a genome-wide gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen-only, and combined estrogen-progestogen therapy with CRC risk, among 28,486 postmenopausal women (11,519 cases and 16,967 controls) from 38 studies, using logistic regression, two-step method, and 2- or 3-degree-of-freedom (d.f.) joint test. A set-based score test was applied for rare genetic variants.The use of any MHT, estrogen-only and estrogen-progestogen were associated with a reduced CRC risk [odds ratio (OR) with 95% confidence interval (95% CI) of 0.71 (0.64-0.78), 0.65 (0.53-0.79), and 0.73 (0.59-0.90), respectively]. The two-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was significantly reduced in women with the GG genotype [0.68 (0.64-0.72)] but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-d.f. joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing ORs of 0.78 (0.70-0.87) for TT, 0.68 (0.63-0.73) for TC, and 0.66 (0.60-0.74) for CC genotypes. In addition, five genes in rare variant analysis showed suggestive interactions with MHT (two-sided P < 1.2x10-4).Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved. |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
700 | 1 | _ | |a Kim, Andre E |b 1 |
700 | 1 | _ | |a Bien, Stephanie A |b 2 |
700 | 1 | _ | |a Lin, Yi |b 3 |
700 | 1 | _ | |a Qu, Conghui |b 4 |
700 | 1 | _ | |a Harrison, Tabitha |b 5 |
700 | 1 | _ | |a Carreras-Torres, Robert |b 6 |
700 | 1 | _ | |a Díez-Obrero, Virginia |b 7 |
700 | 1 | _ | |a Dimou, Niki |b 8 |
700 | 1 | _ | |a Drew, David A |b 9 |
700 | 1 | _ | |a Hidaka, Akihisa |b 10 |
700 | 1 | _ | |a Huyghe, Jeroen R |b 11 |
700 | 1 | _ | |a Jordahl, Kristina M |b 12 |
700 | 1 | _ | |a Morrison, John |b 13 |
700 | 1 | _ | |a Murphy, Neil |b 14 |
700 | 1 | _ | |a Obón-Santacana, Mireia |b 15 |
700 | 1 | _ | |a Ulrich, Cornelia M |b 16 |
700 | 1 | _ | |a Ose, Jennifer |b 17 |
700 | 1 | _ | |a Peoples, Anita R |b 18 |
700 | 1 | _ | |a Ruiz-Narvaez, Edward A |b 19 |
700 | 1 | _ | |a Shcherbina, Anna |b 20 |
700 | 1 | _ | |a Stern, Mariana |b 21 |
700 | 1 | _ | |a Su, Yu-Ru |b 22 |
700 | 1 | _ | |a van Duijnhoven, Franzel J B |b 23 |
700 | 1 | _ | |a Arndt, Volker |0 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0 |b 24 |u dkfz |
700 | 1 | _ | |a Baurley, James |b 25 |
700 | 1 | _ | |a Berndt, Sonja I |b 26 |
700 | 1 | _ | |a Bishop, D Timothy |b 27 |
700 | 1 | _ | |a Brenner, Hermann |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 28 |u dkfz |
700 | 1 | _ | |a Buchanan, Daniel D |b 29 |
700 | 1 | _ | |a Chan, Andrew T |b 30 |
700 | 1 | _ | |a Figueiredo, Jane C |b 31 |
700 | 1 | _ | |a Gallinger, Steven |b 32 |
700 | 1 | _ | |a Gruber, Stephen B |b 33 |
700 | 1 | _ | |a Harlid, Sophia |b 34 |
700 | 1 | _ | |a Hoffmeister, Michael |0 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f |b 35 |u dkfz |
700 | 1 | _ | |a Jenkins, Mark A |b 36 |
700 | 1 | _ | |a Joshi, Amit D |b 37 |
700 | 1 | _ | |a Keku, Temitope O |b 38 |
700 | 1 | _ | |a Larsson, Susanna C |b 39 |
700 | 1 | _ | |a Le Marchand, Loic |b 40 |
700 | 1 | _ | |a Li, Li |b 41 |
700 | 1 | _ | |a Giles, Graham G |b 42 |
700 | 1 | _ | |a Milne, Roger L |b 43 |
700 | 1 | _ | |a Nan, Hongmei |b 44 |
700 | 1 | _ | |a Nassir, Rami |b 45 |
700 | 1 | _ | |a Ogino, Shuji |b 46 |
700 | 1 | _ | |a Budiarto, Arif |b 47 |
700 | 1 | _ | |a Platz, Elizabeth A |b 48 |
700 | 1 | _ | |a Potter, John D |b 49 |
700 | 1 | _ | |a Prentice, Ross L |b 50 |
700 | 1 | _ | |a Rennert, Gad |b 51 |
700 | 1 | _ | |a Sakoda, Lori C |b 52 |
700 | 1 | _ | |a Schoen, Robert E |b 53 |
700 | 1 | _ | |a Slattery, Martha L |b 54 |
700 | 1 | _ | |a Thibodeau, Stephen N |b 55 |
700 | 1 | _ | |a Van Guelpen, Bethany |b 56 |
700 | 1 | _ | |a Visvanathan, Kala |b 57 |
700 | 1 | _ | |a White, Emily |b 58 |
700 | 1 | _ | |a Wolk, Alicja |b 59 |
700 | 1 | _ | |a Woods, Michael O |b 60 |
700 | 1 | _ | |a Wu, Anna H |b 61 |
700 | 1 | _ | |a Campbell, Peter T |b 62 |
700 | 1 | _ | |a Casey, Graham |b 63 |
700 | 1 | _ | |a Conti, David V |b 64 |
700 | 1 | _ | |a Gunter, Marc J |b 65 |
700 | 1 | _ | |a Kundaje, Anshul |b 66 |
700 | 1 | _ | |a Lewinger, Juan Pablo |b 67 |
700 | 1 | _ | |a Moreno, Victor |b 68 |
700 | 1 | _ | |a Newcomb, Polly A |b 69 |
700 | 1 | _ | |a Pardamean, Bens |b 70 |
700 | 1 | _ | |a Thomas, Duncan C |b 71 |
700 | 1 | _ | |a Tsilidis, Konstantinos K |b 72 |
700 | 1 | _ | |a Peters, Ulrike |b 73 |
700 | 1 | _ | |a Gauderman, W James |b 74 |
700 | 1 | _ | |a Hsu, Li |b 75 |
700 | 1 | _ | |a Chang-Claude, Jenny |0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253 |b 76 |e Last author |u dkfz |
773 | _ | _ | |a 10.1093/jnci/djac094 |0 PERI:(DE-600)1465951-7 |n 8 |p 1135-1148 |t Journal of the National Cancer Institute |v 114 |y 2022 |x 0027-8874 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:180090 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-He78)834e8bc4d74592e3b999100c157215f5 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 24 |6 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 28 |6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 35 |6 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 76 |6 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2022 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-28 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-01-28 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-28 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2022-11-18 |w ger |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b JNCI-J NATL CANCER I : 2021 |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2022-11-18 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2022-11-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2022-11-18 |
915 | _ | _ | |a IF >= 10 |0 StatID:(DE-HGF)9910 |2 StatID |b JNCI-J NATL CANCER I : 2021 |d 2022-11-18 |
920 | 2 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
920 | 1 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
920 | 1 | _ | |0 I:(DE-He78)C071-20160331 |k C071 |l C071 Cancer Survivorship |x 1 |
920 | 1 | _ | |0 I:(DE-He78)C070-20160331 |k C070 |l C070 Klinische Epidemiologie und Alternf. |x 2 |
920 | 1 | _ | |0 I:(DE-He78)C120-20160331 |k C120 |l Präventive Onkologie |x 3 |
920 | 1 | _ | |0 I:(DE-He78)HD01-20160331 |k HD01 |l DKTK HD zentral |x 4 |
920 | 0 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C020-20160331 |
980 | _ | _ | |a I:(DE-He78)C071-20160331 |
980 | _ | _ | |a I:(DE-He78)C070-20160331 |
980 | _ | _ | |a I:(DE-He78)C120-20160331 |
980 | _ | _ | |a I:(DE-He78)HD01-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|