Relevance of the MHC region for breast cancer susceptibility in Asians.
View / Open Files
Authors
Ho, Peh Joo
Khng, Alexis Jiaying
Tan, Benita Kiat-Tee
Tan, Ern Yu
Tan, Su-Ming
Tan, Veronique Kiak Mien
Lim, Geok Hoon
Aronson, Kristan J
Chan, Tsun L
Choi, Ji-Yeob
Ho, Weang-Kee
Hou, Ming-Feng
Ito, Hidemi
Iwasaki, Motoki
John, Esther M
Kang, Daehee
Kim, Sung-Won
Kurian, Allison W
Kwong, Ava
Lophatananon, Artitaya
Matsuo, Keitaro
Mohd-Taib, Nur Aishah
Muir, Kenneth
Murphy, Rachel A
Park, Sue K
Shen, Chen-Yang
Shu, Xiao-Ou
Teo, Soo Hwang
Wang, Qin
Yamaji, Taiki
Zheng, Wei
Bolla, Manjeet K
Dunning, Alison M
Hartman, Mikael
Publication Date
2022-05-11Journal Title
Breast Cancer
ISSN
1340-6868
Publisher
Springer Science and Business Media LLC
Pages
1-11
Type
Article
This Version
VoR
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Ho, P. J., Khng, A. J., Tan, B. K., Tan, E. Y., Tan, S., Tan, V. K. M., Lim, G. H., et al. (2022). Relevance of the MHC region for breast cancer susceptibility in Asians.. Breast Cancer, 1-11. https://doi.org/10.1007/s12282-022-01366-w
Abstract
BACKGROUND: Human leukocyte antigen (HLA) genes play critical roles in immune surveillance, an important defence against tumors. Imputing HLA genotypes from existing single-nucleotide polymorphism datasets is low-cost and efficient. We investigate the relevance of the major histocompatibility complex region in breast cancer susceptibility, using imputed class I and II HLA alleles, in 25,484 women of Asian ancestry. METHODS: A total of 12,901 breast cancer cases and 12,583 controls from 12 case-control studies were included in our pooled analysis. HLA imputation was performed using SNP2HLA on 10,886 quality-controlled variants within the 15-55 Mb region on chromosome 6. HLA alleles (n = 175) with info scores greater than 0.8 and frequencies greater than 0.01 were included (resolution at two-digit level: 71; four-digit level: 104). We studied the associations between HLA alleles and breast cancer risk using logistic regression, adjusting for population structure and age. Associations between HLA alleles and the risk of subtypes of breast cancer (ER-positive, ER-negative, HER2-positive, HER2-negative, early-stage, and late-stage) were examined. RESULTS: We did not observe associations between any HLA allele and breast cancer risk at P < 5e-8; the smallest p value was observed for HLA-C*12:03 (OR = 1.29, P = 1.08e-3). Ninety-five percent of the effect sizes (OR) observed were between 0.90 and 1.23. Similar results were observed when different subtypes of breast cancer were studied (95% of ORs were between 0.85 and 1.18). CONCLUSIONS: No imputed HLA allele was associated with breast cancer risk in our large Asian study. Direct measurement of HLA gene expressions may be required to further explore the associations between HLA genes and breast cancer risk.
Keywords
Breast cancer risk, Breast cancer subtypes, HLA
Sponsorship
National Cancer Institute (U19CA148537)
European Commission (223175)
National Cancer Institute (R01CA128978)
National Cancer Institute (U19CA148065)
European Commission Horizon 2020 (H2020) Societal Challenges (634935)
European Commission Horizon 2020 (H2020) Societal Challenges (633784)
Cancer Research UK (A10710)
Cancer Research UK (A16563)
Cancer Research UK (A12014)
Cancer Research UK (A10118)
Wellcome Trust (203477/Z/16/Z)
Identifiers
External DOI: https://doi.org/10.1007/s12282-022-01366-w
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338683
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk