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Yang Y, Chen J, Zhao X, Gong F, Liu R, Miao J, Lin M, Ge F, Chen W. Genetic analysis reveals the shared genetic architecture between breast cancer and atrial fibrillation. Front Genet 2025; 16:1450259. [PMID: 40201568 PMCID: PMC11975938 DOI: 10.3389/fgene.2025.1450259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 02/28/2025] [Indexed: 04/10/2025] Open
Abstract
Background Epidemiological studies have observed an association between atrial fibrillation (AF) and breast cancer (BC). However, the underlying mechanisms linking these two conditions remain unclear. This study aims to systematically explore the genetic association between AF and BC. Methods We utilized the largest available genome-wide association study (GWAS) datasets for European individuals, including summary data for AF (N = 1,030,836) and BC (N = 247,173). Multiple approaches were employed to systematically investigate the genetic relationship between AF and BC from the perspectives of pleiotropy and causality. Results Global genetic analysis using LDSC and HDL revealed a genetic correlation between AF and BC (rg = 0.0435, P = 0.039). Mixer predicted genetic overlap between non-MHC regions of the two conditions (n = 125, rg = 0.05). Local genetic analyses using LAVA and GWAS-PW identified 22 regions with potential genetic sharing. Cross-trait meta-analysis by CPASSOC identified one novel pleiotropic SNP and 14 pleiotropic SNPs, which were subsequently annotated. Eight of these SNPs passed Bayesian colocalization tests, including one novel pleiotropic SNP. Further fine-mapping analysis identified a set of causal SNPs for each significant SNP. TWAS analyses using JTI and FOCUS models jointly identified 10 pleiotropic genes. Phenome-wide association study (PheWAS) of novel pleiotropic SNPs identified two eQTLs (PELO, ITGA1). Gene-based PheWAS results showed strong associations with BMI, height, and educational attainment. PCGA methods combining GTEx V8 tissue data and single-cell RNA data identified 16 co-enriched tissue types (including cardiovascular, reproductive, and digestive systems) and 5 cell types (including macrophages and smooth muscle cells). Finally, univariable and multivariable bidirectional Mendelian randomization analyses excluded a causal relationship between AF and BC. Conclusion This study systematically investigated the shared genetic overlap between AF and BC. Several pleiotropic SNPs and genes were identified, and co-enriched tissue and cell types were revealed. The findings highlight common mechanisms from a genetic perspective rather than a causal relationship. This study provides new insights into the AF-BC association and suggests potential experimental targets and directions for future research. Additionally, the results underscore the importance of monitoring the potential risk of one disease in patients diagnosed with the other.
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Affiliation(s)
- Yang Yang
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
| | - Jiayi Chen
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
| | - XiaoHua Zhao
- Department of Cardiology, Yan’an Hospital Affiliated To Kunming Medical University, Kunming, China
| | - Fuhong Gong
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
| | - Ruimin Liu
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
| | - Jingge Miao
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
| | - Mengping Lin
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
| | - Fei Ge
- Department of Breast Surgery, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Wenlin Chen
- Yunnan Key Laboratory of Breast Cancer Precision Medicine, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Kunming, China
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Cruz Cisneros MC, Anderson EJ, Hampton BK, Parotti B, Sarkar S, Taft-Benz S, Bell TA, Blanchard M, Dillard JA, Dinnon KH, Hock P, Leist SR, Madden EA, Shaw GD, West A, Baric RS, Baxter VK, Pardo-Manuel de Villena F, Heise MT, Ferris MT. Host Genetic Variation Impacts SARS-CoV-2 Vaccination Response in the Diversity Outbred Mouse Population. Vaccines (Basel) 2024; 12:103. [PMID: 38276675 PMCID: PMC10821422 DOI: 10.3390/vaccines12010103] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
The COVID-19 pandemic led to the rapid and worldwide development of highly effective vaccines against SARS-CoV-2. However, there is significant individual-to-individual variation in vaccine efficacy due to factors including viral variants, host age, immune status, environmental and host genetic factors. Understanding those determinants driving this variation may inform the development of more broadly protective vaccine strategies. While host genetic factors are known to impact vaccine efficacy for respiratory pathogens such as influenza and tuberculosis, the impact of host genetic variation on vaccine efficacy against COVID-19 is not well understood. To model the impact of host genetic variation on SARS-CoV-2 vaccine efficacy, while controlling for the impact of non-genetic factors, we used the Diversity Outbred (DO) mouse model. We found that DO mice immunized against SARS-CoV-2 exhibited high levels of variation in vaccine-induced neutralizing antibody responses. While the majority of the vaccinated mice were protected from virus-induced disease, similar to human populations, we observed vaccine breakthrough in a subset of mice. Importantly, we found that this variation in neutralizing antibody, virus-induced disease, and viral titer is heritable, indicating that the DO serves as a useful model system for studying the contribution of genetic variation of both vaccines and disease outcomes.
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Affiliation(s)
- Marta C. Cruz Cisneros
- Genetics and Molecular Biology Curriculum, University of North Carolina, Chapel Hill, NC 27599, USA; (M.C.C.C.); (B.K.H.)
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Elizabeth J. Anderson
- Division of Comparative Medicine, University of North Carolina, Chapel Hill, NC 27599, USA; (E.J.A.); (V.K.B.)
| | - Brea K. Hampton
- Genetics and Molecular Biology Curriculum, University of North Carolina, Chapel Hill, NC 27599, USA; (M.C.C.C.); (B.K.H.)
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Breantié Parotti
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Sanjay Sarkar
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Sharon Taft-Benz
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Timothy A. Bell
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Matthew Blanchard
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Jacob A. Dillard
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
| | - Kenneth H. Dinnon
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
| | - Pablo Hock
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Sarah R. Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (S.R.L.)
| | - Emily A. Madden
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
| | - Ginger D. Shaw
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Ande West
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (S.R.L.)
| | - Ralph S. Baric
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (S.R.L.)
| | - Victoria K. Baxter
- Division of Comparative Medicine, University of North Carolina, Chapel Hill, NC 27599, USA; (E.J.A.); (V.K.B.)
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Fernando Pardo-Manuel de Villena
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Mark T. Heise
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Martin T. Ferris
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
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Bian S, Guo X, Yang X, Wei Y, Yang Z, Cheng S, Yan J, Chen Y, Chen GB, Du X, Francis SS, Shu Y, Liu S. Genetic determinants of IgG antibody response to COVID-19 vaccination. Am J Hum Genet 2024; 111:181-199. [PMID: 38181733 PMCID: PMC10806743 DOI: 10.1016/j.ajhg.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 01/07/2024] Open
Abstract
Human humoral immune responses to SARS-CoV-2 vaccines exhibit substantial inter-individual variability and have been linked to vaccine efficacy. To elucidate the underlying mechanism behind this variability, we conducted a genome-wide association study (GWAS) on the anti-spike IgG serostatus of UK Biobank participants who were previously uninfected by SARS-CoV-2 and had received either the first dose (n = 54,066) or the second dose (n = 46,232) of COVID-19 vaccines. Our analysis revealed significant genome-wide associations between the IgG antibody serostatus following the initial vaccine and human leukocyte antigen (HLA) class II alleles. Specifically, the HLA-DRB1∗13:02 allele (MAF = 4.0%, OR = 0.75, p = 2.34e-16) demonstrated the most statistically significant protective effect against IgG seronegativity. This protective effect was driven by an alteration from arginine (Arg) to glutamic acid (Glu) at position 71 on HLA-DRβ1 (p = 1.88e-25), leading to a change in the electrostatic potential of pocket 4 of the peptide binding groove. Notably, the impact of HLA alleles on IgG responses was cell type specific, and we observed a shared genetic predisposition between IgG status and susceptibility/severity of COVID-19. These results were replicated within independent cohorts where IgG serostatus was assayed by two different antibody serology tests. Our findings provide insights into the biological mechanism underlying individual variation in responses to COVID-19 vaccines and highlight the need to consider the influence of constitutive genetics when designing vaccination strategies for optimizing protection and control of infectious disease across diverse populations.
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Affiliation(s)
- Shengzhe Bian
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Xinxin Guo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Xilai Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Yuandan Wei
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Zijing Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Shiyao Cheng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Jiaqi Yan
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Yongkun Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Guo-Bo Chen
- Center for General Practice Medicine, Department of General Practice Medicine, Clinical Research Institute, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310059, Zhejiang, P.R. China; Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou 310063, Zhejiang, P.R. China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - Stephen S Francis
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yuelong Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China; Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102629, P.R. China.
| | - Siyang Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, P.R. China.
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