The potential causal relationship between BMI, T1D, urolithiasis, and hydronephrosis in European ancestry: A Mendelian randomization analysis
Body mass index (BMI), type 1 diabetes (T1D), urolithiasis, and hydronephrosis are interrelated. Our aim was to analyze their causal relationships at the genetic level. Mendelian randomization is an instrumental variable analysis method that follows Mendel genetic law of random allocation of parenta...
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| Veröffentlicht in: | Medicine (Baltimore) 2024-09, Vol.103 (39), p.e39914 |
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| creator | Han, Yangjun Gao, Wenzhi Wang, Bing Gao, Zihui Diao, Mingxin Zuo, Chao Zhang, Minghua Diao, Yingzhi Wang, Chunji Liu, Honglei Gu, Yaming |
| description | Body mass index (BMI), type 1 diabetes (T1D), urolithiasis, and hydronephrosis are interrelated. Our aim was to analyze their causal relationships at the genetic level. Mendelian randomization is an instrumental variable analysis method that follows Mendel genetic law of random allocation of parental alleles to offspring. In observational studies, genetic variants are used as instrumental variables to infer causal relationships between exposure factors and study outcomes. All the genome-wide association study data in our study were publicly available and from published genome-wide association studies, UK Biobank, and FinnGen. Random-effects inverse variance weighted was the primary analysis method, with R Egger, weighted median, and weighted mode as supplementary methods. We examined heterogeneity, horizontal pleiotropy, and the influence of individual single nucleotide polymorphisms on the analysis. We further explored the causal relationships between BMI, T1D, urolithiasis, and hydronephrosis, as well as the robustness of the analysis results. Inverse variance weighted results showed genetic causal relationships between BMI (P = .034, odds ratio [OR] 95% confidence interval [CI] = 1.273 [1.019-1.589]), T1D (P = .028, OR 95% CI = 0.921 [0.855-0.991]), urolithiasis (P |
| doi_str_mv | 10.1097/MD.0000000000039914 |
| format | Article |
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Our aim was to analyze their causal relationships at the genetic level. Mendelian randomization is an instrumental variable analysis method that follows Mendel genetic law of random allocation of parental alleles to offspring. In observational studies, genetic variants are used as instrumental variables to infer causal relationships between exposure factors and study outcomes. All the genome-wide association study data in our study were publicly available and from published genome-wide association studies, UK Biobank, and FinnGen. Random-effects inverse variance weighted was the primary analysis method, with R Egger, weighted median, and weighted mode as supplementary methods. We examined heterogeneity, horizontal pleiotropy, and the influence of individual single nucleotide polymorphisms on the analysis. We further explored the causal relationships between BMI, T1D, urolithiasis, and hydronephrosis, as well as the robustness of the analysis results. Inverse variance weighted results showed genetic causal relationships between BMI (P = .034, odds ratio [OR] 95% confidence interval [CI] = 1.273 [1.019-1.589]), T1D (P = .028, OR 95% CI = 0.921 [0.855-0.991]), urolithiasis (P < .001, OR 95% CI = 1.361 [1.175-1.576]), and hydronephrosis. Sensitivity analyses confirmed the accuracy and robustness of these findings. Our results support significant causal roles of BMI, T1D, and urolithiasis in hydronephrosis, potentially offering new intervention strategies for preventing its development.</description><identifier>ISSN: 1536-5964</identifier><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000039914</identifier><identifier>PMID: 39331875</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>Body Mass Index ; Diabetes Mellitus, Type 1 - epidemiology ; Diabetes Mellitus, Type 1 - genetics ; Female ; Genome-Wide Association Study ; Humans ; Hydronephrosis - epidemiology ; Hydronephrosis - genetics ; Male ; Mendelian Randomization Analysis - methods ; Observational Study ; Polymorphism, Single Nucleotide ; Urolithiasis - epidemiology ; Urolithiasis - genetics ; White People - genetics</subject><ispartof>Medicine (Baltimore), 2024-09, Vol.103 (39), p.e39914</ispartof><rights>Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.</rights><rights>Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c286t-1246cc5a52b818a33a11bd61d6a5ebebcd9b300c2285f38371b0b558fdb866e13</cites><orcidid>0009-0001-5900-4191</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11441904/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11441904/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27915,27916,53782,53784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39331875$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Yangjun</creatorcontrib><creatorcontrib>Gao, Wenzhi</creatorcontrib><creatorcontrib>Wang, Bing</creatorcontrib><creatorcontrib>Gao, Zihui</creatorcontrib><creatorcontrib>Diao, Mingxin</creatorcontrib><creatorcontrib>Zuo, Chao</creatorcontrib><creatorcontrib>Zhang, Minghua</creatorcontrib><creatorcontrib>Diao, Yingzhi</creatorcontrib><creatorcontrib>Wang, Chunji</creatorcontrib><creatorcontrib>Liu, Honglei</creatorcontrib><creatorcontrib>Gu, Yaming</creatorcontrib><title>The potential causal relationship between BMI, T1D, urolithiasis, and hydronephrosis in European ancestry: A Mendelian randomization analysis</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>Body mass index (BMI), type 1 diabetes (T1D), urolithiasis, and hydronephrosis are interrelated. Our aim was to analyze their causal relationships at the genetic level. Mendelian randomization is an instrumental variable analysis method that follows Mendel genetic law of random allocation of parental alleles to offspring. In observational studies, genetic variants are used as instrumental variables to infer causal relationships between exposure factors and study outcomes. All the genome-wide association study data in our study were publicly available and from published genome-wide association studies, UK Biobank, and FinnGen. Random-effects inverse variance weighted was the primary analysis method, with R Egger, weighted median, and weighted mode as supplementary methods. We examined heterogeneity, horizontal pleiotropy, and the influence of individual single nucleotide polymorphisms on the analysis. We further explored the causal relationships between BMI, T1D, urolithiasis, and hydronephrosis, as well as the robustness of the analysis results. Inverse variance weighted results showed genetic causal relationships between BMI (P = .034, odds ratio [OR] 95% confidence interval [CI] = 1.273 [1.019-1.589]), T1D (P = .028, OR 95% CI = 0.921 [0.855-0.991]), urolithiasis (P < .001, OR 95% CI = 1.361 [1.175-1.576]), and hydronephrosis. Sensitivity analyses confirmed the accuracy and robustness of these findings. Our results support significant causal roles of BMI, T1D, and urolithiasis in hydronephrosis, potentially offering new intervention strategies for preventing its development.</description><subject>Body Mass Index</subject><subject>Diabetes Mellitus, Type 1 - epidemiology</subject><subject>Diabetes Mellitus, Type 1 - genetics</subject><subject>Female</subject><subject>Genome-Wide Association Study</subject><subject>Humans</subject><subject>Hydronephrosis - epidemiology</subject><subject>Hydronephrosis - genetics</subject><subject>Male</subject><subject>Mendelian Randomization Analysis - methods</subject><subject>Observational Study</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Urolithiasis - epidemiology</subject><subject>Urolithiasis - genetics</subject><subject>White People - genetics</subject><issn>1536-5964</issn><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdUU1v1DAQtRAVLYVfgIR85LBbPHHiOFxQ6Rao1BWX5WzZziwx8trBToqW_8B_xqWlH_gy1sx7bz4eIa-AnQDr2rfr1Qm7f7zroH5CjqDhYtl0on764H9Inuf8nTHgbVU_I4e84xxk2xyR35sB6RgnDJPTnlo95xISej25GPLgRmpw-okY6If1xYJuYLWgc4reTYPT2eUF1aGnw75PMeA4pFhy1AV6XkAj6lDKFvOU9u_oKV1j6NG7kk2FFXfu1982BaP9vhBfkIOt9hlf3sZj8vXj-ebs8_Lyy6eLs9PLpa2kmJZQ1cLaRjeVkSA15xrA9AJ6oRs0aGzfGc6YrSrZbLnkLRhmmkZueyOFQODH5P2N7jibHfa2bJ-0V2NyO532KmqnHleCG9S3eKUA6ho6VheFN7cKKf6Yy4Jq57JF73XAOGfFAVhbdbIWBcpvoLYcJyfc3vUBpq6dVOuV-t_Jwnr9cMQ7zj_r-B-j3pyd</recordid><startdate>20240927</startdate><enddate>20240927</enddate><creator>Han, Yangjun</creator><creator>Gao, Wenzhi</creator><creator>Wang, Bing</creator><creator>Gao, Zihui</creator><creator>Diao, Mingxin</creator><creator>Zuo, Chao</creator><creator>Zhang, Minghua</creator><creator>Diao, Yingzhi</creator><creator>Wang, Chunji</creator><creator>Liu, Honglei</creator><creator>Gu, Yaming</creator><general>Lippincott Williams & Wilkins</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0001-5900-4191</orcidid></search><sort><creationdate>20240927</creationdate><title>The potential causal relationship between BMI, T1D, urolithiasis, and hydronephrosis in European ancestry: A Mendelian randomization analysis</title><author>Han, Yangjun ; Gao, Wenzhi ; Wang, Bing ; Gao, Zihui ; Diao, Mingxin ; Zuo, Chao ; Zhang, Minghua ; Diao, Yingzhi ; Wang, Chunji ; Liu, Honglei ; Gu, Yaming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c286t-1246cc5a52b818a33a11bd61d6a5ebebcd9b300c2285f38371b0b558fdb866e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Body Mass Index</topic><topic>Diabetes Mellitus, Type 1 - epidemiology</topic><topic>Diabetes Mellitus, Type 1 - genetics</topic><topic>Female</topic><topic>Genome-Wide Association Study</topic><topic>Humans</topic><topic>Hydronephrosis - epidemiology</topic><topic>Hydronephrosis - genetics</topic><topic>Male</topic><topic>Mendelian Randomization Analysis - methods</topic><topic>Observational Study</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Urolithiasis - epidemiology</topic><topic>Urolithiasis - genetics</topic><topic>White People - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Yangjun</creatorcontrib><creatorcontrib>Gao, Wenzhi</creatorcontrib><creatorcontrib>Wang, Bing</creatorcontrib><creatorcontrib>Gao, Zihui</creatorcontrib><creatorcontrib>Diao, Mingxin</creatorcontrib><creatorcontrib>Zuo, Chao</creatorcontrib><creatorcontrib>Zhang, Minghua</creatorcontrib><creatorcontrib>Diao, Yingzhi</creatorcontrib><creatorcontrib>Wang, Chunji</creatorcontrib><creatorcontrib>Liu, Honglei</creatorcontrib><creatorcontrib>Gu, Yaming</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Yangjun</au><au>Gao, Wenzhi</au><au>Wang, Bing</au><au>Gao, Zihui</au><au>Diao, Mingxin</au><au>Zuo, Chao</au><au>Zhang, Minghua</au><au>Diao, Yingzhi</au><au>Wang, Chunji</au><au>Liu, Honglei</au><au>Gu, Yaming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The potential causal relationship between BMI, T1D, urolithiasis, and hydronephrosis in European ancestry: A Mendelian randomization analysis</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2024-09-27</date><risdate>2024</risdate><volume>103</volume><issue>39</issue><spage>e39914</spage><pages>e39914-</pages><issn>1536-5964</issn><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>Body mass index (BMI), type 1 diabetes (T1D), urolithiasis, and hydronephrosis are interrelated. Our aim was to analyze their causal relationships at the genetic level. Mendelian randomization is an instrumental variable analysis method that follows Mendel genetic law of random allocation of parental alleles to offspring. In observational studies, genetic variants are used as instrumental variables to infer causal relationships between exposure factors and study outcomes. All the genome-wide association study data in our study were publicly available and from published genome-wide association studies, UK Biobank, and FinnGen. Random-effects inverse variance weighted was the primary analysis method, with R Egger, weighted median, and weighted mode as supplementary methods. We examined heterogeneity, horizontal pleiotropy, and the influence of individual single nucleotide polymorphisms on the analysis. We further explored the causal relationships between BMI, T1D, urolithiasis, and hydronephrosis, as well as the robustness of the analysis results. Inverse variance weighted results showed genetic causal relationships between BMI (P = .034, odds ratio [OR] 95% confidence interval [CI] = 1.273 [1.019-1.589]), T1D (P = .028, OR 95% CI = 0.921 [0.855-0.991]), urolithiasis (P < .001, OR 95% CI = 1.361 [1.175-1.576]), and hydronephrosis. Sensitivity analyses confirmed the accuracy and robustness of these findings. Our results support significant causal roles of BMI, T1D, and urolithiasis in hydronephrosis, potentially offering new intervention strategies for preventing its development.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>39331875</pmid><doi>10.1097/MD.0000000000039914</doi><orcidid>https://orcid.org/0009-0001-5900-4191</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Body Mass Index Diabetes Mellitus, Type 1 - epidemiology Diabetes Mellitus, Type 1 - genetics Female Genome-Wide Association Study Humans Hydronephrosis - epidemiology Hydronephrosis - genetics Male Mendelian Randomization Analysis - methods Observational Study Polymorphism, Single Nucleotide Urolithiasis - epidemiology Urolithiasis - genetics White People - genetics |
| title | The potential causal relationship between BMI, T1D, urolithiasis, and hydronephrosis in European ancestry: A Mendelian randomization analysis |
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