Genetic Factor in the Risk of Human Breast Cancer

preprint OA: closed
Full text JSON View at publisher

Abstract

Abstract In this article, we use multistage models to simulate the data of surveillance, epidemiology, and end results (SEER) registry. The data are age-specific incidence rates of breast cancer of females in the United States. Our results indicate that the proportion of the mutation carriers of breast cancer genes is 16% and the proportion of the non-mutation carriers of breast cancer genes is 84%, and 2 gene mutations are most likely to occur in the development of the mutation carriers of breast cancer genes. In addition, the genetic components in the younger is higher than that in the older groups, which is in accordance with observations that the genetic effects are strongest in early-onset cancers.
Full text 8,404 characters · extracted from preprint-html · click to expand
Genetic Factor in the Risk of Human Breast Cancer | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Genetic Factor in the Risk of Human Breast Cancer Liya Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4727028/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In this article, we use multistage models to simulate the data of surveillance, epidemiology, and end results (SEER) registry. The data are age-specific incidence rates of breast cancer of females in the United States. Our results indicate that the proportion of the mutation carriers of breast cancer genes is 16% and the proportion of the non-mutation carriers of breast cancer genes is 84%, and 2 gene mutations are most likely to occur in the development of the mutation carriers of breast cancer genes. In addition, the genetic components in the younger is higher than that in the older groups, which is in accordance with observations that the genetic effects are strongest in early-onset cancers. Biological sciences/Computational biology and bioinformatics Biological sciences/Genetics Breast Cancer Gene Mutation Mutation Carriers Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4727028","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":336474276,"identity":"63866a25-d770-40f4-bae2-b8735b572c0b","order_by":0,"name":"Liya Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIiWNgGAWjYLCCBwUMcgZgFhsxykGKEgwYjEnXkriBaC3y83vMJBIMDqdvl0g+wPCh7DAD/+wG/FoMjrGlgbTk7pyRlsA449xhBok7BwhoYWM+Btay4UaOATNv22EGA4kEAg5rY2wDO8zgRv4H5r/EaGE4BrElweBGDgMzIzFaDI6lJVskGKQbbjjzzOBgz7l0HokbhBzWfMbwxocKa3mD48kPH/wos5bjn0HIYQwMLBIMDM1g1gEg5iGoHgiYPzAw1BGjcBSMglEwCkYqAADHQ0K5QD9/dgAAAABJRU5ErkJggg==","orcid":"","institution":"Hubei University of Education","correspondingAuthor":true,"prefix":"","firstName":"Liya","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2024-07-11 23:40:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4727028/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4727028/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":63820337,"identity":"ef93aa85-18d2-4b8f-8503-6942a79e0f35","added_by":"auto","created_at":"2024-09-02 15:52:25","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":276567,"visible":true,"origin":"","legend":"","description":"","filename":"GeneticFactorintheRiskofHumanBreastCance.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4727028/v1_covered_9e0549c3-6757-474e-82b9-975f1f43d584.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Genetic Factor in the Risk of Human Breast Cancer","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Breast Cancer, Gene Mutation, Mutation Carriers","lastPublishedDoi":"10.21203/rs.3.rs-4727028/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4727028/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn this article, we use multistage models to simulate the data of surveillance, epidemiology, and end results (SEER) registry. The data are age-specific incidence rates of breast cancer of females in the United States. Our results indicate that the proportion of the mutation carriers of breast cancer genes is 16% and the proportion of the non-mutation carriers of breast cancer genes is 84%, and 2 gene mutations are most likely to occur in the development of the mutation carriers of breast cancer genes. In addition, the genetic components in the younger is higher than that in the older groups, which is in accordance with observations that the genetic effects are strongest in early-onset cancers.\u003c/p\u003e","manuscriptTitle":"Genetic Factor in the Risk of Human Breast Cancer","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-08 20:08:38","doi":"10.21203/rs.3.rs-4727028/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"edeb0360-083d-4890-8bad-e65e6fa08265","owner":[],"postedDate":"August 8th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":35636865,"name":"Biological sciences/Computational biology and bioinformatics"},{"id":35636866,"name":"Biological sciences/Genetics"}],"tags":[],"updatedAt":"2024-09-02T15:44:17+00:00","versionOfRecord":[],"versionCreatedAt":"2024-08-08 20:08:38","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4727028","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4727028","identity":"rs-4727028","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00