Genetic variants in the MRPS30 region and postmenopausal breast cancer risk

被引:16
|
作者
Huang, Ying [1 ,2 ]
Ballinger, Dennis G. [3 ]
Dai, James Y. [1 ,2 ]
Peters, Ulrike [1 ,2 ]
Hinds, David A. [4 ]
Cox, David R. [3 ]
Beilharz, Erica [3 ]
Chlebowski, Rowan T. [5 ]
Rossouw, Jacques E. [6 ]
McTiernan, Anne [1 ,2 ]
Rohan, Thomas [7 ]
Prentice, Ross L. [1 ,2 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98109 USA
[2] Fred Hutchinson Canc Res Ctr, Div Vaccine & Infect Dis, Seattle, WA 98109 USA
[3] Perlegen Sci Inc, Mountain View, CA 94043 USA
[4] 23andMe Inc, Mountain View, CA 94043 USA
[5] Harbor UCLA Res & Educ Inst, Div Med Oncol Hematol, Torrance, CA 90502 USA
[6] NHLBI, NIH, Prevent & Populat Sci Program, Bethesda, MD 20892 USA
[7] Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY 10461 USA
来源
GENOME MEDICINE | 2011年 / 3卷
基金
美国国家卫生研究院;
关键词
ESTROGEN PLUS PROGESTIN; CONJUGATED EQUINE ESTROGENS; GENOME-WIDE ASSOCIATION; FAT DIETARY PATTERN; FGFR2; GENE; WOMEN; SUSCEPTIBILITY; MAMMOGRAPHY; PREDICTION; BENEFITS;
D O I
10.1186/gm258
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Genome-wide association studies have identified several genomic regions that are associated with breast cancer risk, but these provide an explanation for only a small fraction of familial breast cancer aggregation. Genotype by environment interactions may contribute further to such explanation, and may help to refine the genomic regions of interest. Methods: We examined genotypes for 4,988 SNPs, selected from recent genome-wide studies, and four randomized hormonal and dietary interventions among 2,166 women who developed invasive breast cancer during the intervention phase of the Women's Health Initiative (WHI) clinical trial (1993 to 2005), and one-to-one matched controls. These SNPs derive from 3,224 genomic regions having pairwise squared correlation (r(2)) between adjacent regions less than 0.2. Breast cancer and SNP associations were identified using a test statistic that combined evidence of overall association with evidence for SNPs by intervention interaction. Results: The combined 'main effect' and interaction test led to a focus on two genomic regions, the fibroblast growth factor receptor two (FGFR2) and the mitochondrial ribosomal protein S30 (MRPS30) regions. The ranking of SNPs by significance level, based on this combined test, was rather different from that based on the main effect alone, and drew attention to the vicinities of rs3750817 in FGFR2 and rs7705343 in MRPS30. Specifically, rs7705343 was included with several FGFR2 SNPs in a group of SNPs having an estimated false discovery rate < 0.05. In further analyses, there were suggestions (nominal P < 0.05) that hormonal and dietary intervention hazard ratios varied with the number of minor alleles of rs7705343. Conclusions: Genotype by environment interaction information may help to define genomic regions relevant to disease risk. Combined main effect and intervention interaction analyses raise novel hypotheses concerning the MRPS30 genomic region and the effects of hormonal and dietary exposures on postmenopausal breast cancer risk.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Discriminatory power of common genetic variants in personalized breast cancer diagnosis
    Wu, Yirong
    Abbey, Craig K.
    Liu, Jie
    Ong, Irene
    Peissig, Peggy
    Onitilo, Adedayo A.
    Fan, Jun
    Yuan, Ming
    Burnside, Elizabeth S.
    MEDICAL IMAGING 2016: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT, 2016, 9787
  • [22] Comprehensive screen of genetic variation in DNA repair pathway genes and postmenopausal breast cancer risk
    Monsees, Genevieve M.
    Kraft, Peter
    Chanock, Stephen J.
    Hunter, David J.
    Han, Jiali
    BREAST CANCER RESEARCH AND TREATMENT, 2011, 125 (01) : 207 - 214
  • [23] Sex hormone associations with breast cancer risk and the mediation of randomized trial postmenopausal hormone therapy effects
    Zhao, Shanshan
    Chlebowski, Rowan T.
    Anderson, Garnet L.
    Kuller, Lewis H.
    Manson, Joann E.
    Gass, Margery
    Patterson, Ruth
    Rohan, Thomas E.
    Lane, Dorothy S.
    Beresford, Shirley A. A.
    Lavasani, Sayeh
    Rossouw, Jacques E.
    Prentice, Ross L.
    BREAST CANCER RESEARCH, 2014, 16 (02)
  • [24] Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation
    Ghoussaini, Maya
    French, Juliet D.
    Michailidou, Kyriaki
    Nord, Silje
    Beesley, Jonathan
    Canisus, Sander
    Hillman, Kristine M.
    Kaufmann, Susanne
    Sivakumaran, Haran
    Marjaneh, Mandi Moradi
    Lee, Jason S.
    Dennis, Joe
    Bolla, Manjeet K.
    Wang, Qin
    Dicks, Ed
    Milne, Roger L.
    Hopper, John L.
    Southey, Melissa C.
    Schmidt, Marjanka K.
    Broeks, Annegien
    Muir, Kenneth
    Lophatananon, Artitaya
    Fasching, Peter A.
    Beckmann, Matthias W.
    Fletcher, Olivia
    Johnson, Nichola
    Sawyer, Elinor J.
    Tomlinson, Ian
    Burwinkel, Barbara
    Marme, Frederik
    Guenel, Pascal
    Truong, Therese
    Bojesen, Stig E.
    Flyger, Henrik
    Benitez, Javier
    Gonzalez-Neira, Anna
    Alonso, Rosario
    Pita, Guillermo
    Neuhausen, Susan L.
    Anton-Culver, Hoda
    Brenner, Hermann
    Arndt, Volker
    Meindl, Alfons
    Schmutzler, Rita K.
    Brauch, Hiltrud
    Hamann, Ute
    Tessier, Daniel C.
    Vincent, Daniel
    Nevanlinna, Heli
    Khan, Sofia
    AMERICAN JOURNAL OF HUMAN GENETICS, 2016, 99 (04) : 903 - 911
  • [25] Genetic Variants in Hormone-Related Genes and Risk of Breast Cancer
    Clendenen, Tess
    Zeleniuch-Jacquotte, Anne
    Wirgin, Isaac
    Koenig, Karen L.
    Afanasyeva, Yelena
    Lundin, Eva
    Arslan, Alan A.
    Axelsson, Tomas
    Forsti, Asta
    Hallmans, Goran
    Hemminki, Kari
    Lenner, Per
    Roy, Nirmal
    Shore, Roy E.
    Chen, Yu
    PLOS ONE, 2013, 8 (07):
  • [26] Multiple Genetic Variants in Telomere Pathway Genes and Breast Cancer Risk
    Shen, Jing
    Gammon, Marilie D.
    Wu, Hui-Chen
    Terry, Mary Beth
    Wang, Qiao
    Bradshaw, Patrick T.
    Teitelbaum, Susan L.
    Neugut, Alfred I.
    Santella, Regina M.
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2010, 19 (01) : 219 - 228
  • [27] Postmenopausal hormone therapy and the risk of breast cancer in Norway
    Roman, Marta
    Sakshaug, Solveig
    Graff-Iversen, Sidsel
    Vangen, Siri
    Weiderpass, Elisabete
    Ursin, Giske
    Hofvind, Solveig
    INTERNATIONAL JOURNAL OF CANCER, 2016, 138 (03) : 584 - 593
  • [28] Bone mineral density and risk of postmenopausal breast cancer
    Grenier, Debjani
    Cooke, Andrew L.
    Lix, Lisa
    Metge, Colleen
    Lu, Huimin
    Leslie, William D.
    BREAST CANCER RESEARCH AND TREATMENT, 2011, 126 (03) : 679 - 686
  • [29] Predictive accuracy of the breast cancer genetic risk model based on eight common genetic variants: The BACkSIDE study
    Dankova, Zuzana
    Zubor, Pavol
    Marian, Grendar
    Katarina, Zelinova
    Marianna, Jagelkova
    Igor, Sf'astny
    Andrea, Kapinova
    Daniela, Vargova
    Petra, Kasajova
    Dana, Dvorska
    Michal, Kalman
    Jan, Danko
    Zora, Lasabova
    JOURNAL OF BIOTECHNOLOGY, 2019, 299 : 1 - 7
  • [30] Interaction of insulin-like growth factor-I and insulin resistance-related genetic variants with lifestyle factors on postmenopausal breast cancer risk
    Jung, Su Yon
    Ho, Gloria
    Rohan, Thomas
    Strickler, Howard
    Bea, Jennifer
    Papp, Jeanette
    Sobel, Eric
    Zhang, Zuo-Feng
    Crandall, Carolyn
    BREAST CANCER RESEARCH AND TREATMENT, 2017, 164 (02) : 475 - 495