Association of Genetic Markers with the Risk of Early-Onset Breast Cancer in Kazakh Women

被引:1
作者
Skvortsova, Liliya [1 ]
Abdikerim, Saltanat [1 ,2 ]
Yergali, Kanagat [1 ]
Mit, Natalya [1 ]
Perfilyeva, Anastassiya [1 ]
Omarbayeva, Nazgul [3 ,4 ]
Zhunussova, Aigul [1 ]
Kachiyeva, Zulfiya [5 ]
Sadykova, Tolkyn [3 ,4 ]
Bekmanov, Bakhytzhan [1 ,2 ]
Kaidarova, Dilyara [3 ,4 ]
Djansugurova, Leyla [1 ,2 ]
Zhunussova, Gulnur [1 ]
机构
[1] Inst Genet & Physiol, Lab Mol Genet, Alma Ata 050060, Kazakhstan
[2] Al Farabi Kazakh Natl Univ, Dept Mol Biol & Genet, Alma Ata 050040, Kazakhstan
[3] Kazakh Inst Oncol & Radiol, Breast Canc Dept, Alma Ata 050060, Kazakhstan
[4] Asfendiyarov Kazakh Natl Med Univ, Oncol Dept, Alma Ata 050012, Kazakhstan
[5] Asfendiyarov Kazakh Natl Med Univ, Res Inst Appl & Fundamental Med, Alma Ata 050012, Kazakhstan
关键词
early-onset breast cancer; microarray-based SNP genotyping; genome-wide association study; genetic variations; genetic markers; Kazakh population; CHITINASE; YKL-39; GROWTH; ALPHA-2-MACROGLOBULIN; EXPRESSION; CELLS;
D O I
10.3390/genes15010108
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Breast cancer is a global health problem. It is an age-dependent disease, but cases of early-onset breast cancer (eBC) are gradually increasing. There are many unresolved questions regarding eBC risk factors, mechanisms of development and screening. Only 10% of eBC cases are due to mutations in the BRCA1/BRCA2 genes, and 90% have a more complex genetic background. This poses a significant challenge to timely cancer detection in young women and highlights the need for research and awareness. Therefore, identifying genetic risk factors for eBC is essential to solving these problems. This study represents an association analysis of 144 eBC cases and 163 control participants to identify genetic markers associated with eBC risks in Kazakh women. We performed a two-stage approach in association analysis to assess genetic predisposition to eBC. First-stage genome-wide association analysis revealed two risk intronic loci in the CHI3L2 gene (p = 5.2 x 10(-6)) and MGAT5 gene (p = 8.4 x 10(-6)). Second-stage exonic polymorphisms haplotype analysis showed significant risks for seven haplotypes (p < 9.4 x 10(-4)). These results point to the importance of studying medium- and low-penetrant genetic markers in their haplotype combinations for a detailed understanding of the role of detected genetic markers in eBC development and prediction.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] TYROBP genetic variants in early-onset Alzheimer's disease
    Pottier, Cyril
    Ravenscroft, Thomas A.
    Brown, Patricia H.
    Finch, NiCole A.
    Baker, Matt
    Parsons, Meeia
    Asmann, Yan W.
    Ren, Yingxue
    Christopher, Elizabeth
    Levitch, Denise
    van Blitterswijk, Marka
    Cruchaga, Carlos
    Campion, Dominique
    Nicolas, Gael
    Richard, Anne-Claire
    Guerreiro, Rita
    Bras, Jose T.
    Zuchner, Stephan
    Gonzalez, Michael A.
    Bu, Guojun
    Younkin, Steven
    Knopman, David S.
    Josephs, Keith A.
    Parisi, Joseph E.
    Petersen, Ronald C.
    Ertekin-Taner, Nilufer
    Graff-Radford, Neill R.
    Boeve, Bradley F.
    Dickson, Dennis W.
    Rademakers, Rosa
    NEUROBIOLOGY OF AGING, 2016, 48 : 222.e9 - 222.e15
  • [42] Quality of care in Colombian women with early-onset breast cancer in two time periods: findings from a nationwide administrative registry cohort
    Valbuena-Garcia, Ana Maria
    Trujillo-Caceres, Silvia Juliana
    Vargas, Juliana Alexandra Hernandez
    Diaz, Sandra
    Acuna, Lizbeth
    Perdomo, Sandra
    Pineros, Marion
    LANCET REGIONAL HEALTH-AMERICAS, 2025, 43
  • [43] Clinicopathologic characteristics of early-onset breast cancer: a comparative analysis of cases from across Ghana
    Akakpo, Patrick Kafui
    Imbeah, Emmanuel Gustav
    Edusei, Lawrence
    Naporo, Simon
    Ulzen-Appiah, Kofi
    Clegg-Lamptey, Joe Nat
    Dedey, Florence
    Nsaful, Josephine
    Affram, Nelson
    Wiafe, Beatrice
    Mensah, Samuel
    Nortey, Michael
    Sheriff, Mohammed
    Amponsah-Manu, Forster
    Agbedinu, Kwabena
    Jiagge, Evelyn Mawunyo
    BMC WOMENS HEALTH, 2023, 23 (01)
  • [44] Does Guideline-Adherent Therapy Improve the Outcome for Early-Onset Breast Cancer Patients?
    Varga, Dominic
    Wischnewsky, Manfred
    Atassi, Ziad
    Wolters, Regine
    Geyer, Verena
    Strunz, Kathrin
    Kreienberg, Rolf
    Woeckel, Achim
    ONCOLOGY, 2010, 78 (3-4) : 189 - 195
  • [45] Support Vector Machine Classifier for Estrogen Receptor Positive and Negative Early-Onset Breast Cancer
    Upstill-Goddard, Rosanna
    Eccles, Diana
    Ennis, Sarah
    Rafiq, Sajjad
    Tapper, William
    Fliege, Joerg
    Collins, Andrew
    PLOS ONE, 2013, 8 (07):
  • [46] Evaluation of Genetic Variations in miRNA-Binding Sites of BRCA1 and BRCA2 Genes as Risk Factors for the Development of Early-Onset and/or Familial Breast Cancer
    Erturk, Elif
    Cecener, Gulsah
    Polatkan, Volkan
    Gokgoz, Sehsuvar
    Egeli, Unal
    Tunca, Berrin
    Tezcan, Gulcin
    Demirdogen, Elif
    Ak, Secil
    Tasdelen, Ismet
    ASIAN PACIFIC JOURNAL OF CANCER PREVENTION, 2014, 15 (19) : 8319 - 8324
  • [47] Melatonin improves endothelial function in vitro and prolongs pregnancy in women with early-onset preeclampsia
    Hobson, Sebastian R.
    Gurusinghe, Seshi
    Lim, Rebecca
    Alers, Nicole O.
    Miller, Suzanne L.
    Kingdom, John C.
    Wallace, Euan M.
    JOURNAL OF PINEAL RESEARCH, 2018, 65 (03)
  • [48] High-Resolution Bisulfite-Sequencing of Peripheral Blood DNA Methylation in Early-Onset and Familial Risk Breast Cancer Patients
    Chen, Justin
    Haanpaa, Maria K.
    Gruber, Joshua J.
    Jager, Natalie
    Ford, James M.
    Snyder, Michael P.
    CLINICAL CANCER RESEARCH, 2019, 25 (17) : 5301 - 5314
  • [49] Determining prognostic factors and optimal surgical intervention for early-onset triple-negative breast cancer
    Zheng, Yi-Zi
    Liu, Yan
    Deng, Zhen-Han
    Liu, Guo-Wen
    Xie, Ni
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [50] Genetic study of early-onset Graves' disease in the Chinese Han population
    Yuan, F. -F.
    Ye, X. -P.
    Liu, W.
    Xue, L. -Q.
    Ma, Y. -R.
    Zhang, L. -L.
    Zhang, M. -M.
    Sun, F.
    Wan, Y. -Y.
    Zhang, Q. -Y.
    Zhao, S. -X.
    Song, H. -D.
    CLINICAL GENETICS, 2018, 93 (01) : 103 - 110