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Sökning: onr:"swepub:oai:lup.lub.lu.se:46bbca7f-14af-457a-9fea-83c1d375c6c6" > Genetically Predict...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005819naa a2200673 4500
001oai:lup.lub.lu.se:46bbca7f-14af-457a-9fea-83c1d375c6c6
003SwePub
008201218s2020 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/46bbca7f-14af-457a-9fea-83c1d375c6c62 URI
0247 a https://doi.org/10.1093/jnci/djz1092 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Yang, Yaohuau Vanderbilt University4 aut
2451 0a Genetically Predicted Levels of DNA Methylation Biomarkers and Breast Cancer Risk : Data From 228 951 Women of European Descent
264 c 2019-05-29
264 1b Oxford University Press (OUP),c 2020
300 a 10 s.
520 a BACKGROUND: DNA methylation plays a critical role in breast cancer development. Previous studies have identified DNA methylation marks in white blood cells as promising biomarkers for breast cancer. However, these studies were limited by low statistical power and potential biases. Using a new methodology, we investigated DNA methylation marks for their associations with breast cancer risk. METHODS: Statistical models were built to predict levels of DNA methylation marks using genetic data and DNA methylation data from HumanMethylation450 BeadChip from the Framingham Heart Study (n = 1595). The prediction models were validated using data from the Women's Health Initiative (n = 883). We applied these models to genomewide association study (GWAS) data of 122 977 breast cancer patients and 105 974 controls to evaluate if the genetically predicted DNA methylation levels at CpG sites (CpGs) are associated with breast cancer risk. All statistical tests were two-sided. RESULTS: Of the 62 938 CpG sites CpGs investigated, statistically significant associations with breast cancer risk were observed for 450 CpGs at a Bonferroni-corrected threshold of P less than 7.94 × 10-7, including 45 CpGs residing in 18 genomic regions, that have not previously been associated with breast cancer risk. Of the remaining 405 CpGs located within 500 kilobase flaking regions of 70 GWAS-identified breast cancer risk variants, the associations for 11 CpGs were independent of GWAS-identified variants. Integrative analyses of genetic, DNA methylation, and gene expression data found that 38 CpGs may affect breast cancer risk through regulating expression of 21 genes. CONCLUSION: Our new methodology can identify novel DNA methylation biomarkers for breast cancer risk and can be applied to other diseases.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Medicinsk genetik0 (SwePub)301072 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Medical Genetics0 (SwePub)301072 hsv//eng
7001 a Wu, Langu Vanderbilt University4 aut
7001 a Shu, Xiao Ouu Vanderbilt University4 aut
7001 a Cai, Qiuyinu Vanderbilt University4 aut
7001 a Shu, Xiangu Vanderbilt University4 aut
7001 a Li, Bingshanu Vanderbilt University4 aut
7001 a Guo, Xingyiu Vanderbilt University4 aut
7001 a Ye, Feiu Vanderbilt University4 aut
7001 a Michailidou, Kyriakiu University of Cambridge4 aut
7001 a Bolla, Manjeet K.u University of Cambridge4 aut
7001 a Wang, Qinu University of Cambridge4 aut
7001 a Dennis, Joe4 aut
7001 a Andrulis, Irene L.u University of Toronto,Mount Sinai Hospital of University of Toronto,University of Cambridge4 aut
7001 a Brenner, Hermannu German Cancer Research Centre4 aut
7001 a Chenevix-Trench, Georgiau QIMR Berghofer Medical Research Institute4 aut
7001 a Campa, Danieleu University of Pisa4 aut
7001 a Castelao, Jose E.4 aut
7001 a Gago-Dominguez, Manuelau University of California, San Diego,Complejo Hospitalario Universitario de Santiago4 aut
7001 a Dörk, Thilou Hannover Medical School4 aut
7001 a Hollestelle, Antoinetteu Erasmus University Medical Center4 aut
7001 a Lophatananon, Artitayau University of Manchester,University of Warwick4 aut
7001 a Muir, Kennethu University of Manchester,University of Warwick4 aut
7001 a Neuhausen, Susan L.u Beckman Research Institute of City of Hope4 aut
7001 a Olsson, Håkanu Lund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Lunds Melanomstudiegrupp,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund Melanoma Study Group,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments4 aut0 (Swepub:lu)onk-hol
7001 a Sandler, Dale P.u National Institute of Environmental Health Sciences4 aut
7001 a Simard, Jacquesu Laval University4 aut
7001 a Kraft, Peteru Harvard University4 aut
7001 a Pharoah, Paul D.P.u University of Cambridge4 aut
7001 a Easton, Douglas F.u University of Cambridge4 aut
7001 a Zheng, Weiu Vanderbilt University4 aut
7001 a Long, Jirongu Vanderbilt University4 aut
7102 a Vanderbilt Universityb University of Cambridge4 org
7730 t Journal of the National Cancer Instituted : Oxford University Press (OUP)g 112:3, s. 295-304q 112:3<295-304x 1460-2105x 0027-8874
8564 u http://dx.doi.org/10.1093/jnci/djz109x freey FULLTEXT
8564 u https://europepmc.org/articles/pmc7073907?pdf=render
8564 8u https://lup.lub.lu.se/record/46bbca7f-14af-457a-9fea-83c1d375c6c6
8564 8u https://doi.org/10.1093/jnci/djz109

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