4.7 Article

Epigenome-Wide Association Study of Incident Type 2 Diabetes in a British Population: EPIC-Norfolk Study

期刊

DIABETES
卷 68, 期 12, 页码 2315-2326

出版社

AMER DIABETES ASSOC
DOI: 10.2337/db18-0290

关键词

-

资金

  1. Medical Research Council (MRC) [G9502233]
  2. Cancer Research UK [C864/A8257]
  3. MRC Cambridge initiative in metabolomic science [MR/L00002/1]
  4. MRC [G0601966, G0700931, MC_PC_13048]
  5. MRC program grants [MC_UU_12015/1, MC_UU_12015/2, MC_UU_12015/5]
  6. National Institute for Health Research (NIHR) Comprehensive Biomedical Research Centre Imperial College Healthcare National Health Service (NHS) Trust
  7. British Heart Foundation [RG/13/13/30194]
  8. Wellcome Trust [084723/Z/08/Z, 090532, 098381]
  9. NIHR [RP-PG-0407-10371]
  10. NIHR Official Development Assistance [16/136/68]
  11. European Union [279143, 643774]
  12. MRC-PHE Centre for Environment and Health
  13. Singapore Ministry of Health's National Medical Research Council under its Singapore Translational Research Investigator (STaR) Award [NMRC/STaR/0028/2017, N01-HC-25195, HHSN268201500001I]
  14. Division of Intramural Research, National Heart, Lung, and Blood Institute
  15. National Institutes of Health (NIH) Director's Challenge Award - Division of Intramural Research, National Heart, Lung, and Blood Institute
  16. Center for Information Technology, NIH
  17. National Institute of Diabetes and Digestive and Kidney Diseases [U01 DK078616, K24 DK080140]
  18. EU FP7 project BLUEPRINT [282510]
  19. U.K. MRC [MR/L003120/1]
  20. NIHR (Cambridge Biomedical Research Centre at the Cambridge University Hospitals NHS Foundation Trust)
  21. Novo Nordisk foundation
  22. Swedish Research Council
  23. Region Skane
  24. Euoropean Foundation for the Study of Diabetes
  25. Swedish Foundation for Strategic Research [IRC15-0067]
  26. Swedish Diabetes Foundation
  27. Albert Pahlsson Foundation
  28. MRC [MC_UU_12015/5, MR/N003284/1, MC_UU_12015/1, G0700931, MC_UU_12015/2, MR/L003120/1, G0601966] Funding Source: UKRI
  29. H2020 Societal Challenges Programme [643774] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

Epigenetic changes may contribute substantially to risks of diseases of aging. Previous studies reported seven methylation variable positions (MVPs) robustly associated with incident type 2 diabetes mellitus (T2DM). However, their causal roles in T2DM are unclear. In an incident T2DM case-cohort study nested within the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk cohort, we used whole blood DNA collected at baseline, up to 11 years before T2DM onset, to investigate the role of methylation in the etiology of T2DM. We identified 15 novel MVPs with robust associations with incident T2DM and robustly confirmed three MVPs identified previously (near to TXNIP, ABCG1, and SREBF1). All 18 MVPs showed directionally consistent associations with incident and prevalent T2DM in independent studies. Further conditional analyses suggested that the identified epigenetic signals appear related to T2DM via glucose and obesity-related pathways acting before the collection of baseline samples. We integrated genome-wide genetic data to identify methylation-associated quantitative trait loci robustly associated with 16 of the 18 MVPs and found one MVP, cg00574958 at CPT1A, with a possible direct causal role in T2DM. None of the implicated genes were previously highlighted by genetic association studies, suggesting that DNA methylation studies may reveal novel biological mechanisms involved in tissue responses to glycemia.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Genetics & Heredity

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

K. Alaine Broadaway, Xianyong Yin, Alice Williamson, Victoria A. Parsons, Emma P. Wilson, Anne H. Moxley, Swarooparani Vadlamudi, Arushi Varshney, Anne U. Jackson, Vasudha Ahuja, Stefan R. Bornstein, Laura J. Corbin, Graciela E. Delgado, Om P. Dwivedi, Lilian Fernandes Silva, Timothy M. Frayling, Harald Grallert, Stefan Gustafsson, Liisa Hakaste, Ulf Hammar, Christian Herder, Sandra Herrmann, Kurt Hojlund, David A. Hughes, Marcus E. Kleber, Cecilia M. Lindgren, Ching-Ti Liu, Jian'an Luan, Anni Malmberg, Angela P. Moissl, Andrew P. Morris, Nikolaos Perakakis, Annette Peters, John R. Petrie, Michael Roden, Peter E. H. Schwarz, Sapna Sharma, Angela Silveira, Rona J. Strawbridge, Tiinamaija Tuomi, Andrew R. Wood, Peitao Wu, Bjorn Zethelius, Damiano Baldassarre, Johan G. Eriksson, Tove Fall, Jose C. Florez, Andreas Fritsche, Bruna Gigante, Anders Hamsten, Eero Kajantie, Markku Laakso, Jari Lahti, Deborah A. Lawlor, Lars Lind, Winfried Maerz, James B. Meigs, Johan Sundstrom, Nicholas J. Timpson, Robert Wagner, Mark Walker, Nicholas J. Wareham, Hugh Watkins, Ines Barroso, Stephen O'Rahilly, Niels Grarup, Stephen CJ. Parker, Michael Boehnke, Claudia Langenberg, Eleanor Wheeler, Karen L. Mohlke

Summary: Insufficient insulin secretion and increased proinsulin levels indicate beta-cell stress and insulin resistance. A meta-analysis of European-ancestry individuals identified 36 independent signals at 30 loci associated with fasting proinsulin. These loci are involved in various mechanisms that affect insulin processing and beta-cell function. Colocalization analysis provided potential candidate genes and regulatory mechanisms for proinsulin production and glucose regulation. This study highlights the importance of genetic studies for understanding disease predisposition.

AMERICAN JOURNAL OF HUMAN GENETICS (2023)

Article Genetics & Heredity

Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing

Fang Chen, Xingyan Wang, Seon-Kyeong Jang, Bryan C. Quach, J. Dylan Weissenkampen, Chachrit Khunsriraksakul, Lina Yang, Renan Sauteraud, Christine M. Albert, Nicholette D. D. Allred, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, R. Graham Barr, Diane M. Becker, Lawrence F. Bielak, Joshua C. Bis, John Blangero, Meher Preethi Boorgula, Daniel Chasman, Sameer Chavan, Yii-Der Chen, Lee-Ming Chuang, Adolfo Correa, Joanne E. Curran, Sean P. David, Lisa de Las Fuentes, Ranjan Deka, Ravindranath Duggirala, Jessica D. Faul, Melanie E. Garrett, Sina A. Gharib, Xiuqing Guo, Michael E. Hall, Nicola L. Hawley, Jiang He, Brian D. Hobbs, John E. Hokanson, Chao A. Hsiung, Shih-Jen Hwang, Thomas M. Hyde, Marguerite R. Irvin, Andrew E. Jaffe, Eric O. Johnson, Robert Kaplan, Sharon L. R. Kardia, Joel D. Kaufman, Tanika N. Kelly, Joel E. Kleinman, Charles Kooperberg, I-Te Lee, Daniel Levy, Sharon M. Lutz, Ani W. Manichaikul, Lisa W. Martin, Olivia Marx, Stephen T. McGarvey, Ryan L. Minster, Matthew Moll, Karine A. Moussa, Take Naseri, Kari E. North, Elizabeth C. Oelsner, Juan M. Peralta, Patricia A. Peyser, Bruce M. Psaty, Nicholas Rafaels, Laura M. Raffield, Muagututi'a Sefuiva Reupena, Stephen S. Rich, Jerome Rotter, David A. Schwartz, Aladdin H. Shadyab, Wayne H-H Sheu, Mario Sims, Jennifer A. Smith, Xiao Sun, Kent D. Taylor, Marilyn J. Telen, Harold Watson, Daniel E. Weeks, David R. Weir, Lisa R. Yanek, Kendra A. Young, Kristin L. Young, Wei Zhao, Dana B. Hancock, Bibo Jiang, Scott Vrieze, Dajiang J. Liu

Summary: Most TWASs conducted so far have focused on European ancestry and lacked diversity. To address this limitation, researchers aggregated GWAS summary statistics, whole-genome sequences, and eQTL data from diverse ancestries. They developed a new approach called TESLA, which integrates eQTL datasets with multi-ancestry GWAS, improving power and identifying more genes associated with tobacco use phenotypes compared to alternative TWAS methods. The study also suggests potential drug repurposing options for treating nicotine addiction.

NATURE GENETICS (2023)

Article Multidisciplinary Sciences

Large scale phenotype imputation and in vivo functional validation implicate ADAMTS14 as an adiposity gene

Katherine A. Kentistou, Jian'an Luan, Laura B. L. Wittemans, Catherine Hambly, Lucija Klaric, Zoltan Kutalik, John R. Speakman, Nicholas J. Wareham, Timothy J. Kendall, Claudia Langenberg, James F. Wilson, Peter K. Joshi, Nicholas M. Morton

Summary: Our understanding of the genetic contribution to human adiposity is incomplete, as few studies measure adiposity directly. In this study, the authors used whole-body imaging adiposity phenotypes in large biobanks to enhance their ability to discover genes driving human adiposity, and investigated one such gene using a mouse model.

NATURE COMMUNICATIONS (2023)

Article Nutrition & Dietetics

A Healthy Diet is Associated with a Lower Risk of Hepatic Fibrosis

Vincent Gao, Michelle T. Long, Shridhar R. Singh, Youjin Kim, Xuehong Zhang, Gail Rogers, Paul F. Jacques, Daniel Levy, Jiantao Ma

Summary: This study analyzed the relationship between diet quality and hepatic fibrosis in two different population samples. The results showed that higher diet quality was associated with lower risk of liver fibrosis. The findings suggest that a healthy diet may reduce the likelihood of obesity and hepatic steatosis, as well as the progression of steatosis to fibrosis.

JOURNAL OF NUTRITION (2023)

Article Biochemistry & Molecular Biology

Genetic predisposition to macronutrient preference and workplace food choices

Jordi Merino, Hassan S. Dashti, Douglas E. Levy, Magdalena Del Rocio Sevilla-Gonzalez, Marie-France Hivert, Bianca C. Porneala, Richa Saxena, Anne N. Thorndike

Summary: This study investigates the impact of genetic variants on macronutrient preference and long-term food choices. The results show that an increase in the polygenic score for carbohydrate preference is associated with more monthly food purchases and a higher number of purchases with green-labeled food. However, there is no evidence of associations between fat and protein polygenic scores and food purchases.

MOLECULAR PSYCHIATRY (2023)

Article Multidisciplinary Sciences

An atlas of genetic scores to predict multi-omic traits

Yu Xu, Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, Loïc Lannelongue, Samuel A. Lambert, Usman A. Tahir, Sebastian May-Wilson, Carles Foguet, Asa Johansson, Praveen Surendran, Artika P. Nath, Elodie Persyn, James E. Peters, Clare Oliver-Williams, Shuliang Deng, Bram Prins, Jian'an Luan, Lorenzo Bomba, Nicole Soranzo, Emanuele Di Angelantonio, Nicola Pirastu, E. Shyong Tai, Rob M. van Dam, Helen Parkinson, Emma E. Davenport, Dirk S. Paul, Christopher Yau, Robert E. Gerszten, Anders Maelarstig, John Danesh, Xueling Sim, Claudia Langenberg, James F. Wilson, Adam S. Butterworth, Michael Inouye

Summary: This study investigates the use of omic modalities in dissecting the molecular underpinnings of common diseases and traits. It examines a large cohort with extensive multi-omic data and uses machine learning to train genetic scores for various molecular traits. The study evaluates the performance of these genetic scores through external validation across different ancestral cohorts and highlights key biological insights related to metabolism and disease pathways. A web portal is also developed to provide public access to the genetic scores and validation results.

NATURE (2023)

Article Clinical Neurology

Risk of Midlife Stroke After Adverse Pregnancy Outcomes: The FinnGen Study

Eliza Miller, Anni E. Kauko, Sarah Tom, Hannele Laivuori, Teemu A. Niiranen, Natalie Bello

Summary: The study found that adverse pregnancy outcomes are associated with an earlier onset of maternal cerebrovascular disease, especially in cases where women had more than one affected pregnancy.

STROKE (2023)

Article Multidisciplinary Sciences

Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy

Hanna M. Ollila, Eilon Sharon, Ling Lin, Nasa Sinnott-Armstrong, Aditya Ambati, Selina M. Yogeshwar, Ryan P. Hillary, Otto Jolanki, Juliette Faraco, Mali Einen, Guo Luo, Jing Zhang, Fang Han, Han Yan, Xiao Song Dong, Jing Li, Jun Zhang, Seung-Chul Hong, Tae Won Kim, Yves Dauvilliers, Lucie Barateau, Gert Jan Lammers, Rolf Fronczek, Geert Mayer, Joan Santamaria, Isabelle Arnulf, Stine Knudsen-Heier, May Kristin Lyamouri Bredahl, Per Medboe Thorsby, Giuseppe Plazzi, Fabio Pizza, Monica Moresco, Catherine Crowe, Stephen K. Van den Eeden, Michel Lecendreux, Patrice Bourgin, Takashi Kanbayashi, Francisco J. Martinez-Orozco, Rosa Peraita-Adrados, Antonio Beneto, Jacques Montplaisir, Alex Desautels, Yu-Shu Huang, Poul Jennum FinnGen, Poul Jennum, Sona Nevsimalova, David Kemlink, Alex Iranzo, Sebastiaan Overeem, Aleksandra Wierzbicka, Peter Geisler, Karel Sonka, Makoto Honda, Birgit Hoegl, Ambra Stefani, Fernando Morgadinho Coelho, Vilma Mantovani, Eva Feketeova, Mia Wadelius, Niclas Eriksson, Hans Smedje, Par Hallberg, Per Egil Hesla, David Rye, Zerrin Pelin, Luigi Ferini-Strambi, Claudio L. Bassetti, Johannes Mathis, Ramin Khatami, Adi Aran, Sheela Nampoothiri, Tomas Olsson, Ingrid Kockum, Markku Partinen, Markus Perola, Birgitte R. Kornum, Sina Rueger, Juliane Winkelmann, Taku Miyagawa, Hiromi Toyoda, Seik-Soon Khor, Mihoko Shimada, Katsushi Tokunaga, Manuel Rivas, Jonathan K. Pritchard, Neil Risch, Zoltan Kutalik, Ruth O'Hara, Joachim Hallmayer, Chun Jimmie Ye, Emmanuel J. Mignot

Summary: The authors identified genetic loci for narcolepsy and suggested infection and immune cell involvement as triggers. They also found that narcolepsy type 1 is caused by a loss of hypocretin/orexin transmission. In addition, the study revealed risk factors related to H1N1 influenza A infection and immunization with Pandemrix (R) vaccine.

NATURE COMMUNICATIONS (2023)

Article Psychology, Biological

Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus

Iain Mathieson, Felix R. Day, Nicola Barban, Felix C. Tropf, David M. Brazel, Ahmad Vaez, Natalie van Zuydam, Barbara D. Bitarello, Eugene J. Gardner, Evelina T. Akimova, Ajuna Azad, Sven Bergmann, Lawrence F. Bielak, Dorret Boomsma, Kristina Bosak, Marco Brumat, Julie E. Buring, David Cesarini, Daniel Chasman, Jorge E. Chavarro, Massimiliano Cocca, Maria Pina Concas, George Davey Smith, Gail Davies, Ian J. Deary, Tonu Esko, Jessica D. Faul, Oscar Franco, Andrea Ganna, Audrey J. Gaskins, Andrea Gelemanovic, Eco J. C. de Geus, Christian Gieger, Giorgia Girotto, Bamini Gopinath, Hans Joergen Grabe, Erica P. Gunderson, Caroline Hayward, Chunyan He, Diana van Heemst, W. David Hill, Eva R. Hoffmann, Georg Homuth, Jouke Jan Hottenga, Hongyang Huang, Elina Hyppoenen, M. Arfan Ikram, Rick Jansen, Magnus Johannesson, Zoha Kamali, Sharon L. R. Kardia, Maryam Kavousi, Annette Kifley, Tuomo Kiiskinen, Peter Kraft, Brigitte Kuehnel, Claudia Langenberg, Gerald Liew, Penelope A. Lind, Jian'an Luan, Reedik Magi, Patrik K. E. Magnusson, Anubha Mahajan, Nicholas G. Martin, Hamdi Mbarek, Mark McCarthy, George McMahon, Sarah E. Medland, Thomas Meitinger, Andres Metspalu, Evelin Mihailov, Lili Milani, Stacey A. Missmer, Paul Mitchell, Stine Mollegaard, Dennis O. Mook-Kanamori, Anna Morgan, Peter van der Most, Renee de Mutsert, Matthias Nauck, Ilja M. Nolte, Raymond Noordam, Brenda W. J. H. Penninx, Annette Peters, Patricia A. Peyser, Ozren Polasek, Chris Power, Ajka Pribisalic, Paul Redmond, Janet W. Rich-Edwards, Paul M. Ridker, Cornelius A. Rietveld, Susan M. Ring, Lynda M. Rose, Rico Rueedi, Vallari Shukla, Jennifer A. Smith, Stasa Stankovic, Kari Stefansson, Doris Stoeckl, Konstantin Strauch, Morris A. Swertz, Alexander Teumer, Gudmar Thorleifsson, Unnur Thorsteinsdottir, A. Roy Thurik, Nicholas J. Timpson, Constance Turman, Andre G. Uitterlinden, Melanie Waldenberger, Nicholas J. Wareham, David R. Weir, Gonneke Willemsen, Jing Hau Zhao, Wei Zhao, Yajie Zhao, Harold Snieder, Marcel den Hoed, Ken K. Ong, Melinda C. Mills, John R. B. Perry

Summary: Identifying genetic determinants of reproductive success can reveal the mechanisms underlying fertility and identify genes that are currently under natural selection. A genome-wide association study on individuals of European ancestry identified 43 genomic loci associated with the number of children ever born or childlessness. These loci are involved in various aspects of reproductive biology, such as puberty timing, age at first birth, sex hormone regulation, endometriosis, and age at menopause. Additionally, missense variants in ARHGAP27 were found to be associated with higher number of children ever born but shorter reproductive lifespan, suggesting a trade-off at this locus. Other genes, including PIK3IP1, ZFP82, and LRP4, were also implicated by coding variants, and a new role for the melanocortin 1 receptor (MC1R) in reproductive biology was suggested. Furthermore, integration with data from historical selection scans revealed an allele in the FADS1/2 gene locus that has been undergoing selection for thousands of years. These findings highlight the diverse biological mechanisms contributing to reproductive success.

NATURE HUMAN BEHAVIOUR (2023)

Article Endocrinology & Metabolism

Proteogenomic links to human metabolic diseases

Mine Koprulu, Julia Carrasco-Zanini, Eleanor Wheeler, Sam Lockhart, Nicola D. Kerrison, Nicholas J. Wareham, Maik Pietzner, Claudia Langenberg

Summary: Studying the plasma proteome can help identify new disease processes. In this study, a cis-focused proteogenomic analysis was conducted on plasma proteins from 1,180 individuals, revealing unreported protein quantitative trait loci (pQTL). Shared genetic regulation between pQTLs and health outcomes, improved gene assignment at risk loci, and convergence of phenotypic consequences and gene burden were observed. These findings highlight the value of integrating proteomic and genomic data to identify mediators of metabolic diseases.

NATURE METABOLISM (2023)

Article Endocrinology & Metabolism

Pediatric Features of Genetic Predisposition to Polycystic Ovary Syndrome

Jia Zhu, Anders U. Eliasen, Izzuddin M. Aris, Sara E. Stinson, Jens-Christian Holm, Torben Hansen, Marie-France Hivert, Klaus Bonnelykke, Rany M. Salem, Joel N. Hirschhorn, Yee-Ming Chan

Summary: Genetic risk factors for PCOS are associated with alterations in metabolic, growth, and developmental traits in childhood.

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2023)

Article Cardiac & Cardiovascular Systems

Global Comparison of Readmission Rates for Patients With Heart Failure

Farid Foroutan, Daniel G. Rayner, Heather J. Ross, Tamara Ehler, Ananya Srivastava, Sheojung Shin, Abdullah Malik, Harsukh Benipal, Clarissa Yu, Tsz Hin Alexander Lau, Joshua G. Lee, Rodolfo Rocha, Peter C. Austin, Daniel Levy, Jennifer E. Ho, John J. V. McMurray, Faiez Zannad, George Tomlinson, John A. Spertus, Douglas S. Lee

Summary: This study summarizes the 30-day and 1-year readmission and mortality rates of hospitalized heart failure patients globally, revealing significant international variations in these outcomes.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2023)

Article Immunology

Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets

Jing Hua Zhao, David Stacey, Niclas Eriksson, Erin Macdonald-Dunlop, Asa K. Hedman, Anette Kalnapenkis, Stefan Enroth, Domenico Cozzetto, Jonathan Digby-Bell, Jonathan Marten, Lasse Folkersen, Christian Herder, Lina Jonsson, Sarah E. Bergen, Christian Gieger, Elise J. Needham, Praveen Surendran, Andres Metspalu, Lili Milani, Reedik Magi, Mari Nelis, Georgi Hudjasov, Dirk S. Paul, Ozren Polasek, Barbara Thorand, Harald Grallert, Michael Roden, Urmo Vosa, Tonu Esko, Caroline Hayward, Asa Johansson, Ulf Gyllensten, Nick Powell, Oskar Hansson, Niklas Mattsson-Carlgren, Peter K. Joshi, John Danesh, Leonid Padyukov, Lars Klareskog, Mikael Landen, James F. Wilson, Agneta Siegbahn, Lars Wallentin, Anders Malarstig, Adam S. Butterworth, James E. Peters

Summary: In this study, the authors conducted a genome-wide protein quantitative trait locus (pQTL) study to identify genetic influences on inflammation-related plasma proteins. They found 180 pQTLs and integrated the data with eQTL and disease genome-wide association studies to gain insight into pathogenesis and identified lymphotoxin-alpha in multiple sclerosis. Mendelian randomization (MR) analysis revealed shared and distinct effects of specific proteins across immune-mediated diseases, including CD40's contradictory effects on rheumatoid arthritis and multiple sclerosis. MR also implicated CXCL5 in the etiology of ulcerative colitis.

NATURE IMMUNOLOGY (2023)

Article Cardiac & Cardiovascular Systems

Protein Biomarkers of Early Menopause and Incident Cardiovascular Disease

Mariana F. Ramirez, Michael Honigberg, Dongyu Wang, Juhi K. Parekh, Kamila Bielawski, Paul Courchesne, Martin D. Larson, Daniel Levy, Joanne M. Murabito, Jennifer E. Ho, Emily S. Lau

Summary: Premature and early menopause are associated with increased risk of cardiovascular disease (CVD). This study found that early menopause is associated with specific biomarkers related to CVD and modifies the association between certain biomarkers and cardiovascular outcomes. The identified biomarkers reflect various biological pathways including inflammation, adiposity, and neurohormonal regulation.

JOURNAL OF THE AMERICAN HEART ASSOCIATION (2023)

Article Medical Informatics

Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study

Valerie Kuan, Spiros Denaxas, Praveetha Patalay, Dorothea Nitsch, Rohini Mathur, Arturo Gonzalez-Izquierdo, Reecha Sofat, Linda Partridge, Amanda Roberts, Ian C. K. Wong, Melanie Hingorani, Nishi Chaturvedi, Harry Hemingway, Aroon Hingorani, MMTRC

Summary: This study provides important data on multimorbidity and comorbidity in diverse populations, highlighting non-random disease associations and patterns. It offers valuable resources for patients, clinicians, researchers, and policymakers to improve prevention, detection, and management of comorbid conditions. The findings also have implications for biomedical research and the development of clinical trials.

LANCET DIGITAL HEALTH (2023)

暂无数据