Background: Rising state pension ages in many developed countries may influence cognitive aging by delaying retirement, yet the cognitive consequences of retirement likely vary across individuals and contexts. This study investigates the heterogeneous association between retirement and cognitive function.
Methods: We analyzed harmonized data from three longitudinal studies: the Health and Retirement Study, the English Longitudinal Study on Ageing, and the Survey of Health, Ageing and Retirement in Europe. The dataset encompassed three waves across 19 counties from 2014 to 2019. Our study included 12 811 individuals who worked in the first wave, from whom each survey collected covariate information. We assessed retirement status among participants aged 50-80 years in the second wave and measured cognitive function using word recall tests in the third wave. The analysis employed instrumental variable causal forests estimation, utilizing state pension age as an instrument for retirement.
Results: Among 7432 individuals with retirement propensity scores between 0.1 and 0.9, 2165 (29.1%) retired during the second wave. Analysis revealed that retirees recalled 1.348 more words than workers on average. The association between retirement and cognitive function was heterogeneous; greater cognitive benefits were observed among women, individuals with higher socioeconomic status, those with robust pre-retirement health, and those who engaged in physical activity before retirement.
Conclusions: The observed heterogeneous associations suggest policymakers should consider incorporating early retirement options into the pension system, allowing individuals to make retirement decisions based on their circumstances.
{"title":"Heterogeneity in the association between retirement and cognitive function: a machine learning analysis across 19 countries.","authors":"Koryu Sato, Haruko Noguchi, Kosuke Inoue","doi":"10.1093/ije/dyaf201","DOIUrl":"10.1093/ije/dyaf201","url":null,"abstract":"<p><strong>Background: </strong>Rising state pension ages in many developed countries may influence cognitive aging by delaying retirement, yet the cognitive consequences of retirement likely vary across individuals and contexts. This study investigates the heterogeneous association between retirement and cognitive function.</p><p><strong>Methods: </strong>We analyzed harmonized data from three longitudinal studies: the Health and Retirement Study, the English Longitudinal Study on Ageing, and the Survey of Health, Ageing and Retirement in Europe. The dataset encompassed three waves across 19 counties from 2014 to 2019. Our study included 12 811 individuals who worked in the first wave, from whom each survey collected covariate information. We assessed retirement status among participants aged 50-80 years in the second wave and measured cognitive function using word recall tests in the third wave. The analysis employed instrumental variable causal forests estimation, utilizing state pension age as an instrument for retirement.</p><p><strong>Results: </strong>Among 7432 individuals with retirement propensity scores between 0.1 and 0.9, 2165 (29.1%) retired during the second wave. Analysis revealed that retirees recalled 1.348 more words than workers on average. The association between retirement and cognitive function was heterogeneous; greater cognitive benefits were observed among women, individuals with higher socioeconomic status, those with robust pre-retirement health, and those who engaged in physical activity before retirement.</p><p><strong>Conclusions: </strong>The observed heterogeneous associations suggest policymakers should consider incorporating early retirement options into the pension system, allowing individuals to make retirement decisions based on their circumstances.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12641609/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145587305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Isaac Núñez, José Luis Rodríguez-Olivares, Jesús Alegre Díaz, Yanink Caro-Vega
{"title":"Target-trial specification as a feasibility check: can we emulate a target trial to evaluate the effect of age at first-time pregnancy on mortality?","authors":"Isaac Núñez, José Luis Rodríguez-Olivares, Jesús Alegre Díaz, Yanink Caro-Vega","doi":"10.1093/ije/dyaf178","DOIUrl":"https://doi.org/10.1093/ije/dyaf178","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145477072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Giovanni A Salum, Carina de Giusti, Laila Souza, Juliana Juk, Rosângela Costa, Luisa Sugaya, Arthur Caye, André Simioni, Paula B Rocha, Gisele G Manfro, Lucas T Ito, Francisco Da Silva, Igor Duarte, Nathalia Esper, Mauricio Anés, Rodolfo F Damiano, Theodore D Satterthwaite, Carolina M Carvalho, Patricia Bado, Maurício S Hoffmann, Julia L Schafer, Caio B Casella, Sara Evans-Lacko, Carolina Ziebold, Rudi Rocha, André Zugman, Andrea Jackowski, Ary Gadelha, Marcelo Q Hoexter, Clarice Madruga, Rodrigo Grassi-Oliveira, Annamaria Cattaneo, Audrey Tyrka, Tomas Paus, Daniel S Pine, Ellen Leibenluft, Argyris Stringaris, Kathleen R Merikangas, Michael P Milham, Alexandre Franco, Marcos Santoro, João R Sato, Vanessa Ota, Guilherme V Polanczyk, Jair de J Mari, Rodrigo A Bressan, Eurípedes C Miguel, Luis A Rohde, Sintia Belangero, Pedro M Pan
{"title":"Cohort Profile: Brazilian High-Risk Cohort for Mental Health Conditions (BHRC).","authors":"Giovanni A Salum, Carina de Giusti, Laila Souza, Juliana Juk, Rosângela Costa, Luisa Sugaya, Arthur Caye, André Simioni, Paula B Rocha, Gisele G Manfro, Lucas T Ito, Francisco Da Silva, Igor Duarte, Nathalia Esper, Mauricio Anés, Rodolfo F Damiano, Theodore D Satterthwaite, Carolina M Carvalho, Patricia Bado, Maurício S Hoffmann, Julia L Schafer, Caio B Casella, Sara Evans-Lacko, Carolina Ziebold, Rudi Rocha, André Zugman, Andrea Jackowski, Ary Gadelha, Marcelo Q Hoexter, Clarice Madruga, Rodrigo Grassi-Oliveira, Annamaria Cattaneo, Audrey Tyrka, Tomas Paus, Daniel S Pine, Ellen Leibenluft, Argyris Stringaris, Kathleen R Merikangas, Michael P Milham, Alexandre Franco, Marcos Santoro, João R Sato, Vanessa Ota, Guilherme V Polanczyk, Jair de J Mari, Rodrigo A Bressan, Eurípedes C Miguel, Luis A Rohde, Sintia Belangero, Pedro M Pan","doi":"10.1093/ije/dyaf192","DOIUrl":"10.1093/ije/dyaf192","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12619906/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael B Cook, Naomi Adams, Ashley Adjetey, Ryan Arathimos, Marko Balabanovic, Ros Blackwood, Adam Booth, Benjamin J Cairns, Ali Connell, Sidra Ellis, Ben Elsworth, Kate Evans, Alice Forman, Eva Gradovich, Cosima Gretton, Fiona Grimm, David J Hunter, Kamil Lipinski, Jodie Lord, Jane Luff, Fiona Maleady-Crowe, Rachel Moran, Sophie North, Alicia Peel, Diana van der Plaat, Kirstin Purves, Fiona Reddington, Andrew Roddam, Saskia C Sanderson, Tim Sprosen, Adam Steventon, Iain Turnbull, Emma Vestesson, Raghib Ali
{"title":"Cohort Profile: Our Future Health.","authors":"Michael B Cook, Naomi Adams, Ashley Adjetey, Ryan Arathimos, Marko Balabanovic, Ros Blackwood, Adam Booth, Benjamin J Cairns, Ali Connell, Sidra Ellis, Ben Elsworth, Kate Evans, Alice Forman, Eva Gradovich, Cosima Gretton, Fiona Grimm, David J Hunter, Kamil Lipinski, Jodie Lord, Jane Luff, Fiona Maleady-Crowe, Rachel Moran, Sophie North, Alicia Peel, Diana van der Plaat, Kirstin Purves, Fiona Reddington, Andrew Roddam, Saskia C Sanderson, Tim Sprosen, Adam Steventon, Iain Turnbull, Emma Vestesson, Raghib Ali","doi":"10.1093/ije/dyaf171","DOIUrl":"10.1093/ije/dyaf171","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12527338/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145300084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amanda R Cooklin,Meredith O'Connor,Jan M Nicholson,Donna Berthelsen,Paul Hockey,Agatha Faulkner,Ben Edwards,Lisa G Smithers,Tim Slade,Julie Moschion,Lyndall Strazdins,Ann V Sanson,Steve R Zubrick
{"title":"Cohort Profile: Growing up in Australia: the Longitudinal Study of Australian Children (LSAC).","authors":"Amanda R Cooklin,Meredith O'Connor,Jan M Nicholson,Donna Berthelsen,Paul Hockey,Agatha Faulkner,Ben Edwards,Lisa G Smithers,Tim Slade,Julie Moschion,Lyndall Strazdins,Ann V Sanson,Steve R Zubrick","doi":"10.1093/ije/dyaf168","DOIUrl":"https://doi.org/10.1093/ije/dyaf168","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"100 1","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Medhat Zayed, Arne Janssens, Maarten Caspers, Pavlos Mamouris, Simon Gabriël Beerten, Tine De Burghgraeve, Pieter J K Libin, Thomas Neyens, Nicolas Delvaux, Gijs Van Pottelbergh, Bert Aertgeerts, Bert Vaes
{"title":"Data resource profile: the Intego-II primary care database.","authors":"Ahmed Medhat Zayed, Arne Janssens, Maarten Caspers, Pavlos Mamouris, Simon Gabriël Beerten, Tine De Burghgraeve, Pieter J K Libin, Thomas Neyens, Nicolas Delvaux, Gijs Van Pottelbergh, Bert Aertgeerts, Bert Vaes","doi":"10.1093/ije/dyaf200","DOIUrl":"10.1093/ije/dyaf200","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12622959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145540582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: The association between dairy intake and mortality remains unclear, particularly in populations with low dairy consumption, such as the Japanese population. Thus, we investigated the associations between dairy intake and mortality in a pooled analysis of 10 Japanese cohorts.
Methods: We analysed data from 180 267 males and 218 423 females aged ≥35 years at baseline (1983-2014) without a history of cardiovascular disease (CVD) or cancer. Dairy consumption (milk, yogurt, cheese, and total dairy intakes) was assessed through self-reported food frequency questionnaires. Multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for each study and pooled by using random-effects models to evaluate the associations with all-cause and cause-specific mortality.
Results: Over 11.5-24.4 years of follow-up, 41 218 males and 28 659 females died. In males, compared with consuming milk
Conclusion: Dairy intake, particularly daily milk intake, may reduce mortality risk, especially cerebrovascular disease mortality risk, in Japanese males and females.
{"title":"Association between dairy intake and all-cause and cause-specific mortality: a pooled analysis of 0.4 million Japanese adults from 10 population-based cohort studies.","authors":"Yukai Lu, Yumi Sugawara, Atsushi Hozawa, Motoki Iwasaki, Norie Sawada, Rieko Kanehara, Isao Oze, Hidemi Ito, Naoko Miyagawa, Yuriko N Koyanagi, Keiko Wada, Chisato Nagata, Sanyu Ge, Tetsuhisa Kitamura, Takashi Kimura, Akiko Tamakoshi, Mai Utada, Keitaro Matsuo, Yingsong Lin, Sarah Krull Abe, Manami Inoue","doi":"10.1093/ije/dyaf180","DOIUrl":"10.1093/ije/dyaf180","url":null,"abstract":"<p><strong>Background: </strong>The association between dairy intake and mortality remains unclear, particularly in populations with low dairy consumption, such as the Japanese population. Thus, we investigated the associations between dairy intake and mortality in a pooled analysis of 10 Japanese cohorts.</p><p><strong>Methods: </strong>We analysed data from 180 267 males and 218 423 females aged ≥35 years at baseline (1983-2014) without a history of cardiovascular disease (CVD) or cancer. Dairy consumption (milk, yogurt, cheese, and total dairy intakes) was assessed through self-reported food frequency questionnaires. Multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for each study and pooled by using random-effects models to evaluate the associations with all-cause and cause-specific mortality.</p><p><strong>Results: </strong>Over 11.5-24.4 years of follow-up, 41 218 males and 28 659 females died. In males, compared with consuming milk <once/week, almost daily was associated with reduced all-cause mortality (HR: 0.94, 95% CI: 0.92-0.97; P-trend < .0001), CVD mortality (HR: 0.89, 95% CI: 0.82-0.97; P-trend = .005), and cerebrovascular disease mortality (HR: 0.81, 95% CI: 0.75-0.87; P-trend < .0001). In females, almost daily milk consumption was associated with reduced cerebrovascular disease mortality (HR: 0.90, 95% CI: 0.82-0.98; P-trend = .009). The second and third quartiles of total dairy intake were associated with reduced all-cause mortality in both sexes, and cancer mortality in males, although no dose-response association was found. No associations were observed for yogurt or cheese intake in either sex.</p><p><strong>Conclusion: </strong>Dairy intake, particularly daily milk intake, may reduce mortality risk, especially cerebrovascular disease mortality risk, in Japanese males and females.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145587323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Making DAGs even more useful: using augmented causal diagrams to depict counterfactual, study design, measurement, analytical, and interventional features.","authors":"Onyebuchi A Arah, Matthew M Coates","doi":"10.1093/ije/dyaf207","DOIUrl":"10.1093/ije/dyaf207","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12694401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145722753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katy J L Bell, Philippe Autier, Karsten J Jørgensen
{"title":"New evidence resurfaces old questions on the benefits and harms of mammography screening.","authors":"Katy J L Bell, Philippe Autier, Karsten J Jørgensen","doi":"10.1093/ije/dyaf204","DOIUrl":"https://doi.org/10.1093/ije/dyaf204","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145632933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timothy D Winter, Om Jahagirdar, Mattias Johansson, Paul Brennan, Mitchell J Machiela, Stephen J Chanock, Mark P Purdue, Diptavo Dutta
Background: Renal cell carcinoma (RCC) histological subtypes clear cell RCC (ccRCC; >75% of cases) and papillary RCC (papRCC; ∼15%) exhibit distinct molecular and genetic profiles, patient demographics, and prognoses. Previous epidemiologic studies have identified several risk factors for overall RCC, although few have explored differences in etiology across subtypes.
Methods: For this study, we applied two-sample Mendelian randomization (MR) to findings from a genome-wide association study of RCC (27 213 cases, 488 019 controls) to investigate the effects of RCC risk factors with ccRCC (15 507 cases) and papRCC (2103 cases). We also conducted case-only MR analyses contrasting ccRCC and papRCC cases to test for heterogeneity in risk factor effects across subtypes.
Results: MR for overall RCC confirmed associations with obesity, blood pressure, smoking, and several other suspected risk factors. In subtype-specific analyses, we observed stronger associations with ccRCC than for papRCC for anthropometric measures such as body mass index [ccRCC odds ratio (ORccRCC) = 1.58 per standard deviation increase, 95% confidence interval (CI) = 1.50-1.68; papRCC odds ratio (ORpapRCC) = 1.24, 95% CI = 1.07-1.42; Pheterogeneity = 2.7 × 10-4], while stronger associations with papRCC were observed for chronic kidney disease (ORccRCC = 1.07, 95% CI = 0.99-1.15; ORpapRCC = 1.39, 95% CI = 1.16-1.66; Pheterogeneity = 5.42 × 10-5), creatinine-based estimated glomerular filtration rate (ORccRCC = 0.96, 95% CI = 0.92-1.01; ORpapRCC = 0.71, 95% CI = 0.64-0.79; Pheterogeneity = 7.76 × 10-5), and telomere length (ORccRCC = 1.98, 95% CI = 1.93-2.06; ORpapRCC = 2.50, 95% CI = 2.28-2.72; Pheterogeneity = 6.2 × 10-3). Further analysis identified the colocalization of significant RCC risk loci and 20 risk factors along with potential target genes through transcriptomic analysis.
Conclusion: These results highlight the heterogeneous nature of RCC etiology and the importance of considering histologic subtypes in etiologic and genetic studies.
背景:肾细胞癌(RCC)的组织学亚型透明细胞癌(ccRCC,占75%)和乳头状肾细胞癌(papRCC,约15%)表现出不同的分子和遗传谱、患者人口统计学和预后。以前的流行病学研究已经确定了总体RCC的几个危险因素,尽管很少有研究探讨不同亚型的病因差异。方法:本研究采用双样本孟德尔随机化(MR)对RCC全基因组关联研究(27213例,488019例对照)的结果进行分析,探讨ccRCC(15507例)和papRCC(2103例)对RCC危险因素的影响。我们还进行了病例MR分析,对比ccRCC和papRCC病例,以检验不同亚型之间风险因素影响的异质性。结果:总体RCC的MR证实与肥胖、血压、吸烟和其他几个可疑的危险因素有关。在亚型特异性分析中,我们观察到体重指数等人体测量指标与ccRCC的相关性强于与papRCC的相关性[ccRCC优势比(ORccRCC) = 1.58 /标准差增加,95%可信区间(CI) = 1.50-1.68;papRCC优势比(ORpapRCC) = 1.24, 95% CI = 1.07-1.42;Pheterogeneity = 2.7×身手),尤其在强关联papRCC观察慢性肾脏疾病(ORccRCC = 1.07, 95% CI 0.99 = -1.15; ORpapRCC = 1.39, 95% CI = 1.16 -1.66; Pheterogeneity = 5.42×纯),creatinine-based估计肾小球滤过率(ORccRCC = 0.96, 95% CI 0.92 = -1.01; ORpapRCC = 0.71, 95% CI = 0.64 -0.79; Pheterogeneity = 7.76×纯),和端粒长度(ORccRCC = 1.98, 95% CI 1.93 = -2.06; ORpapRCC = 2.50, 95% CI = 2.28 -2.72; Pheterogeneity = 6.2×三分)。进一步的分析通过转录组学分析确定了重要的RCC风险位点和20个风险因素以及潜在的靶基因的共定位。结论:这些结果突出了RCC病因的异质性,以及在病因学和遗传学研究中考虑组织学亚型的重要性。
{"title":"Using Mendelian randomization to investigate etiologic heterogeneity across renal cell carcinoma subtypes.","authors":"Timothy D Winter, Om Jahagirdar, Mattias Johansson, Paul Brennan, Mitchell J Machiela, Stephen J Chanock, Mark P Purdue, Diptavo Dutta","doi":"10.1093/ije/dyaf177","DOIUrl":"10.1093/ije/dyaf177","url":null,"abstract":"<p><strong>Background: </strong>Renal cell carcinoma (RCC) histological subtypes clear cell RCC (ccRCC; >75% of cases) and papillary RCC (papRCC; ∼15%) exhibit distinct molecular and genetic profiles, patient demographics, and prognoses. Previous epidemiologic studies have identified several risk factors for overall RCC, although few have explored differences in etiology across subtypes.</p><p><strong>Methods: </strong>For this study, we applied two-sample Mendelian randomization (MR) to findings from a genome-wide association study of RCC (27 213 cases, 488 019 controls) to investigate the effects of RCC risk factors with ccRCC (15 507 cases) and papRCC (2103 cases). We also conducted case-only MR analyses contrasting ccRCC and papRCC cases to test for heterogeneity in risk factor effects across subtypes.</p><p><strong>Results: </strong>MR for overall RCC confirmed associations with obesity, blood pressure, smoking, and several other suspected risk factors. In subtype-specific analyses, we observed stronger associations with ccRCC than for papRCC for anthropometric measures such as body mass index [ccRCC odds ratio (ORccRCC) = 1.58 per standard deviation increase, 95% confidence interval (CI) = 1.50-1.68; papRCC odds ratio (ORpapRCC) = 1.24, 95% CI = 1.07-1.42; Pheterogeneity = 2.7 × 10-4], while stronger associations with papRCC were observed for chronic kidney disease (ORccRCC = 1.07, 95% CI = 0.99-1.15; ORpapRCC = 1.39, 95% CI = 1.16-1.66; Pheterogeneity = 5.42 × 10-5), creatinine-based estimated glomerular filtration rate (ORccRCC = 0.96, 95% CI = 0.92-1.01; ORpapRCC = 0.71, 95% CI = 0.64-0.79; Pheterogeneity = 7.76 × 10-5), and telomere length (ORccRCC = 1.98, 95% CI = 1.93-2.06; ORpapRCC = 2.50, 95% CI = 2.28-2.72; Pheterogeneity = 6.2 × 10-3). Further analysis identified the colocalization of significant RCC risk loci and 20 risk factors along with potential target genes through transcriptomic analysis.</p><p><strong>Conclusion: </strong>These results highlight the heterogeneous nature of RCC etiology and the importance of considering histologic subtypes in etiologic and genetic studies.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12645421/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145421689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}