Association and Interaction Between Dietary Patterns and Gene Polymorphisms in Liangshan Residents with Hyperuricemia

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Background: Hyperuricemia (HUA) is caused by genetic and dietary factors. However, little is known about the ways in which diet and gene interactions influence HUA or the role of dietary patterns in HUA. Objectives: We aimed to explore the association between dietary patterns and HUA as well as dietary patterns and gene interactions in HUA among the Yi ethnic group of China. Methods: : Food consumption information was collected using a semi-quantitative food frequency questionnaire. Vein blood samples were collected after overnight fasting from all participants and DNA was extracted from peripheral blood leukocytes. Dietary patterns were derived using factor analysis. Results: : The study included 2646 participants aged 18–88 years with a HUA prevalence of 26.8%. Three major dietary patterns were identified and shown to be associated with HUA prevalence, with meat-based diets having a higher association with HUA than plant-based or regionally specific diets. The frequency of the T allele at ABCG2 rs2231142 and SLC2A9 rs11722228 loci was higher in HUA than in non-HUA populations. An additive interaction between a meat-based diet and the rs2231142 locus was associated with the risk of HUA. The relative excess risks of interaction (RERI), attributable proportion of interaction (AP), and synergy index (S) were 0.482 (95% CI 29 = 0.012,0.976),0.203 (95% CI = 0.033,0.374), 1.544 (95% CI = 1.012,2.355), respectively. Conclusions: : The meat-based dietary pattern was associated with an increased risk of HUA. There was an additive interaction between a meat-based dietary pattern and the ABCG2 rs2231142 locus in study participants. Individuals with the rs2231142 T allele had a higher frequency of HUA than those with the rs2231142 GG allele. Individuals with the rs2231142 T allele but a healthy dietary pattern could have a reduced HUA risk.
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Association and Interaction Between Dietary Patterns and Gene Polymorphisms in Liangshan Residents with Hyperuricemia | 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 Research Article Association and Interaction Between Dietary Patterns and Gene Polymorphisms in Liangshan Residents with Hyperuricemia Tingting Li, Shuangjing Li, Tian Tian, Zhichao Nie, Wangdong Xu, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-620530/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Background: Hyperuricemia (HUA) is caused by genetic and dietary factors. However, little is known about the ways in which diet and gene interactions influence HUA or the role of dietary patterns in HUA. Objectives: We aimed to explore the association between dietary patterns and HUA as well as dietary patterns and gene interactions in HUA among the Yi ethnic group of China. Methods: Food consumption information was collected using a semi-quantitative food frequency questionnaire. Vein blood samples were collected after overnight fasting from all participants and DNA was extracted from peripheral blood leukocytes. Dietary patterns were derived using factor analysis. Results: The study included 2646 participants aged 18–88 years with a HUA prevalence of 26.8%. Three major dietary patterns were identified and shown to be associated with HUA prevalence, with meat-based diets having a higher association with HUA than plant-based or regionally specific diets. The frequency of the T allele at ABCG2 rs2231142 and SLC2A9 rs11722228 loci was higher in HUA than in non-HUA populations. An additive interaction between a meat-based diet and the rs2231142 locus was associated with the risk of HUA. The relative excess risks of interaction (RERI), attributable proportion of interaction (AP), and synergy index (S) were 0.482 (95% CI 29 = 0.012,0.976),0.203 (95% CI = 0.033,0.374), 1.544 (95% CI = 1.012,2.355), respectively. Conclusions: The meat-based dietary pattern was associated with an increased risk of HUA. There was an additive interaction between a meat-based dietary pattern and the ABCG2 rs2231142 locus in study participants. Individuals with the rs2231142 T allele had a higher frequency of HUA than those with the rs2231142 GG allele. Individuals with the rs2231142 T allele but a healthy dietary pattern could have a reduced HUA risk. Health Economics & Outcomes Research Medical Genetics dietary pattern hyperuricemia gene interaction factor analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Major revision 19 Jul, 2021 Reviews received at journal 09 Jul, 2021 Reviewers agreed at journal 08 Jul, 2021 Reviewers invited by journal 08 Jul, 2021 Editor assigned by journal 01 Jul, 2021 Editor invited by journal 29 Jun, 2021 Submission checks completed at journal 28 Jun, 2021 First submitted to journal 14 Jun, 2021 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-620530","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":36137094,"identity":"07f1bfa8-d025-4520-ae55-abcb784d027f","order_by":0,"name":"Tingting Li","email":"","orcid":"","institution":"Southwest Medical University, Luzhou","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tingting","middleName":"","lastName":"Li","suffix":""},{"id":36137095,"identity":"b2040fd0-aa15-4bd2-9189-491d2178ad41","order_by":1,"name":"Shuangjing Li","email":"","orcid":"","institution":"Ya an Vocational and Technical 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gene, interaction, factor analysis","lastPublishedDoi":"10.21203/rs.3.rs-620530/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-620530/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eHyperuricemia (HUA) is caused by genetic and dietary factors. However, little is known about the ways in which diet and gene interactions influence HUA or the\u0026nbsp;role of dietary patterns in HUA. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eObjectives:\u003c/strong\u003e We aimed to explore the association between dietary patterns and HUA as\u0026nbsp;well as dietary patterns and gene interactions in HUA among the Yi ethnic group of\u0026nbsp;China.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e Food consumption information was collected using a semi-quantitative food\u0026nbsp;frequency questionnaire. Vein blood samples were collected after overnight fasting\u0026nbsp;from all participants and DNA was extracted from peripheral blood leukocytes. Dietary\u0026nbsp;patterns were derived using factor analysis.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eThe study included 2646 participants aged 18–88 years with a HUA\u0026nbsp;prevalence of 26.8%. Three major dietary patterns were identified and shown to be\u0026nbsp;associated with HUA prevalence, with meat-based diets having a higher association\u0026nbsp;with HUA than plant-based or regionally specific diets. The frequency of the T allele at\u0026nbsp;\u003cem\u003eABCG2 \u003c/em\u003ers2231142 and \u003cem\u003eSLC2A9 \u003c/em\u003ers11722228 loci was higher in HUA than in non-HUA\u0026nbsp;populations. An additive interaction between a meat-based diet and the rs2231142 locus\u0026nbsp;was associated with the risk of HUA. The relative excess risks of interaction (RERI),\u0026nbsp;attributable proportion of interaction (AP), and synergy index (S) were 0.482 (95% CI 29 = 0.012,0.976),0.203 (95% CI = 0.033,0.374), 1.544 (95% CI = 1.012,2.355),\u0026nbsp;respectively.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e The meat-based dietary pattern was associated with an increased risk of\u0026nbsp;HUA. There was an additive interaction between a meat-based dietary pattern and the\u0026nbsp;\u003cem\u003eABCG2 \u003c/em\u003ers2231142 locus in study participants. Individuals with the rs2231142 T allele\u0026nbsp;had a higher frequency of HUA than those with the rs2231142 GG allele. Individuals\u0026nbsp;with the rs2231142 T allele but a healthy dietary pattern could have a reduced HUA risk.\u0026nbsp;\u003c/p\u003e","manuscriptTitle":"Association and Interaction Between Dietary Patterns and Gene Polymorphisms in Liangshan Residents with Hyperuricemia","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-06-30 22:34:11","doi":"10.21203/rs.3.rs-620530/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2021-07-19T06:31:17+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2021-07-09T04:40:44+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"44ef7d53-5681-4fd4-bbee-ec53dfdef2df","date":"2021-07-08T11:22:16+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2021-07-08T07:59:10+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2021-07-01T14:05:49+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2021-06-29T20:16:28+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2021-06-28T17:15:31+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2021-06-14T08:41:05+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"23713c07-e236-46df-9a5e-46deaf489182","owner":[],"postedDate":"June 30th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":5379515,"name":"Health Economics \u0026 Outcomes Research"},{"id":5379516,"name":"Medical Genetics"}],"tags":[],"updatedAt":"2021-12-21T06:29:19+00:00","versionOfRecord":[],"versionCreatedAt":"2021-06-30 22:34:11","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-620530","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-620530","identity":"rs-620530","version":["v1"]},"buildId":"-HB7Z8yhvgn0wM9Nzuekk","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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