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Wu X, Xiao C, Han Z, Zhang L, Zhao X, Hao Y, Xiao J, Gallagher CS, Kraft P, Morton CC, Li J, Jiang X. Investigating the shared genetic architecture of uterine leiomyoma and breast cancer: A genome-wide cross-trait analysis. Am J Hum Genet 2022; 109:1272-1285. [PMID: 35803233 PMCID: PMC9300879 DOI: 10.1016/j.ajhg.2022.05.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 05/25/2022] [Indexed: 01/09/2023] Open
Abstract
Little is known regarding the shared genetic architecture or causality underlying the phenotypic association observed for uterine leiomyoma (UL) and breast cancer (BC). Leveraging summary statistics from the hitherto largest genome-wide association study (GWAS) conducted in each trait, we investigated the genetic overlap and causal associations of UL with BC overall, as well as with its subtypes defined by the status of estrogen receptor (ER). We observed a positive genetic correlation between UL and BC overall (rg = 0.09, p = 6.00 × 10-3), which was consistent in ER+ subtype (rg = 0.06, p = 0.01) but not in ER- subtype (rg = 0.06, p = 0.08). Partitioning the whole genome into 1,703 independent regions, local genetic correlation was identified at 22q13.1 for UL with BC overall and with ER+ subtype. Significant genetic correlation was further discovered in 9 out of 14 functional categories, with the highest estimates observed in coding, H3K9ac, and repressed regions. Cross-trait meta-analysis identified 9 novel loci shared between UL and BC. Mendelian randomization demonstrated a significantly increased risk of BC overall (OR = 1.09, 95% CI = 1.01-1.18) and ER+ subtype (OR = 1.09, 95% CI = 1.01-1.17) for genetic liability to UL. No reverse causality was found. Our comprehensive genome-wide cross-trait analysis demonstrates a shared genetic basis, pleiotropic loci, as well as a putative causal relationship between UL and BC, highlighting an intrinsic link underlying these two complex female diseases.
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Affiliation(s)
- Xueyao Wu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Chenghan Xiao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Zhitong Han
- Department of Life Sciences, Sichuan University, Chengdu, Sichuan 610041, China
| | - Li Zhang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xunying Zhao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yu Hao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Jinyu Xiao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - C Scott Gallagher
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cynthia Casson Morton
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Manchester Centre for Audiology and Deafness, Manchester Academic Health Science Center, University of Manchester, Manchester M13 9PL, UK
| | - Jiayuan Li
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Xia Jiang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Solna, Stockholm, Sweden; Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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Rotunno M, Barajas R, Clyne M, Hoover E, Simonds NI, Lam TK, Mechanic LE, Goldstein AM, Gillanders EM. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer. Cancer Epidemiol Biomarkers Prev 2020; 29:1519-1534. [PMID: 32467344 DOI: 10.1158/1055-9965.epi-19-1551] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 03/17/2020] [Accepted: 05/13/2020] [Indexed: 01/03/2023] Open
Abstract
The application of next-generation sequencing (NGS) technologies in cancer research has accelerated the discovery of somatic mutations; however, progress in the identification of germline variation associated with cancer risk is less clear. We conducted a systematic literature review of cancer genetic susceptibility studies that used NGS technologies at an exome/genome-wide scale to obtain a fuller understanding of the research landscape to date and to inform future studies. The variability across studies on methodologies and reporting was considerable. Most studies sequenced few high-risk (mainly European) families, used a candidate analysis approach, and identified potential cancer-related germline variants or genes in a small fraction of the sequenced cancer cases. This review highlights the importance of establishing consensus on standards for the application and reporting of variants filtering strategies. It also describes the progress in the identification of cancer-related germline variation to date. These findings point to the untapped potential in conducting studies with appropriately sized and racially diverse families and populations, combining results across studies and expanding beyond a candidate analysis approach to advance the discovery of genetic variation that accounts for the unexplained cancer heritability.
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Affiliation(s)
- Melissa Rotunno
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland.
| | - Rolando Barajas
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Mindy Clyne
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Elise Hoover
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | | | - Tram Kim Lam
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Leah E Mechanic
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Alisa M Goldstein
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Elizabeth M Gillanders
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
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Rafieenia F, Abbaszadegan MR, Poursheikhani A, Razavi SMS, Jebelli A, Molaei F, Aghaee‐Bakhtiari SH. In silico evidence of high frequency of miRNA‐related SNPs in Esophageal Squamous Cell Carcinoma. J Cell Physiol 2019; 235:966-978. [DOI: 10.1002/jcp.29012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 05/31/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Fatemeh Rafieenia
- Medical Genetics Research Center Mashhad University of Medical Sciences Mashhad Iran
- Student Research Committee Mashhad University of Medical Sciences Mashhad Iran
| | - Mohammad Reza Abbaszadegan
- Medical Genetics Research Center Mashhad University of Medical Sciences Mashhad Iran
- Immunology Research Center Mashhad University of Medical Sciences Mashhad Iran
| | - Arash Poursheikhani
- Medical Genetics Research Center Mashhad University of Medical Sciences Mashhad Iran
| | | | - Amir Jebelli
- Stem Cell and Regenerative Medicine Research Department Iranian Academic Center for Education, Culture and Research (ACECR), Mashhad Branch Mashhad Iran
| | - Fatemeh Molaei
- Medical Genetics Research Center Mashhad University of Medical Sciences Mashhad Iran
| | - Seyed Hamid Aghaee‐Bakhtiari
- Bioinformatics Research Group Mashhad University of Medical Sciences Mashhad Iran
- Department of Medical Biotechnology, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran
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