Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA

Kettunen, Johannes, Demirkan, Ayşe, Würtz, Peter, Draisma, Harmen H.M., Haller, Toomas, Rawal, Rajesh, Vaarhorst, Anika, Kangas, Antti J. +42 more·2016·Nature Communications
DOI 10.1038/ncomms11122

Cited by (787)

Items 601–700 of 787

  1. Multi-ancestry Multivariate Genome-Wide Analysis Highlights the Role of Common Genetic Variation in Cardiac Structure, Function, and Heart Failure-related Traits
    Michael G. Levin, Noah L. Tsao, Tiffany R. Bellomo, William P. Bone, Krishna G. Aragam, Yifan Yang, Michael P. Morley, Megan F. Burke, Renae Judy, Zoltan Pierre Arany et al. · 2021 · medRxiv
  2. Biomedical consequences of elevated cholesterol-containing lipoproteins and apolipoproteins
    Amand Floriaan Schmidt, Roshni Joshi, María Gordillo‐Marañón, Fotios Drenos, Pimphen Charoen, Claudia Giambartolomei, Joshua C. Bis, Tom R. Gaunt, Alun David Hughes, Debbie A. Lawlor et al. · 2022 · medRxiv
  3. Validation of lipid-related therapeutic targets for coronary heart disease prevention using human genetics
    María Gordillo‐Marañón, Magdalena Zwierzyna, Pimphen Charoen, Fotios Drenos, Sandesh Chopade, Tina Shah, Jorgen Engmann, Juan Pablo Casas, Nish Chaturvedi, Olia Papacosta et al. · 2021 · Research Square
  4. An atlas of genetic regulation and disease associations of microRNAs
    Mohsen Ghanbari, Rima Mustafa, Michelle M. J. Mens, Arno van Hilten, Jian V. Huang, Gennady V. Roshchupkin, Tianxiao Huan, Linda Broer, Paul Elliott, Daniel A Levy et al. · 2022 · Research Square
  5. Causal relationships between genetically predicted circulating levels of amino acids and non-alcoholic fatty liver disease risk: a Mendelian randomisation study
    Jian Zhao, Jing Zeng, Dong Liu, Jun Zhang, Fei Li, Giovanni Targher, Jian‐Gao Fan · 2023 · medRxiv
  6. A multivariable Mendelian randomisation study of serum lipids and dementia risk within the UK Biobank
    Kitty Pham, Anwar Mulugeta, Amanda L. Lumsden, Elina Hyppönen · 2024 · medRxiv
  7. Plasma Short-Chain Fatty Acids and Hypertensive Disorders of Pregnancy: Results from a Nested Case-Control Study and Two-sample Mendelian Randomization Analysis
    Dandan Wang, Lei Wu, Pei Feng, Yexiu Sun, Di Wu, He Nan Xu, Hao Yang Peng, Hongmei Li · 2024 · medRxiv
  8. Phenotype-driven parallel embedding for microbiome multi-omic data integration
    Tal Bamberger, Elhanan Borenstein · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  9. Omics: Potential Role in Early-Phase Drug Development
    Harald Grallert, Carola Marzi, Stefanie M. Hauck, Christian Gieger · 2014 · Springer eBooks
  10. OBSOLETE: Metabolomics in Cardiovascular Research
    Veikko V Salomaa · 2017 · Elsevier eBooks
  11. Novel Approaches to Cardiovascular Diagnostics
    James A. Wingrove, Steven J. Rosenberg · 2017 · Elsevier eBooks
  12. NMR Spectroscopy of Serum and Plasma
    Hector C. Keun · 2018 · Royal Society of Chemistry eBooks
  13. Use of novel biomarkers to explore cardiovascular risk and drug effects
    Daniel Kofink · 2017 · Utrecht University Repository (Utrecht University)
  14. A Meta-Analysis of Italian and Estonian Individuals Shows An Effect of Common Variants in HMGCR on Blood Apob Levels
    Martina Rosticci, Natalia Pervjakova, Marika Kaakinen, Arrigo F.G. Cicero, Arne P Feufer, Letizia Marullo, Reedik Mägi, Krista Fischer, Longda Jiang, Sergio D’Addato et al. · 2018 · Biomarkers in Medicine
  15. Applications of Metabolic Phenotyping in Epidemiology
    Rui Climaco Pinto, İbrahim Karaman, Julia C. Fussell, Εvangelos Εvangelou, Frank J. Kelly, Paul Elliott, Ioanna Tzoulaki · 2018 · Elsevier eBooks
  16. Recessive genetic effects on type 2 diabetes-related metabolites in a consanguineous population
    Ayşe Demirkan, Jun Liu, Najaf Amin, Jan Bert van Klinken, Ko Willems van Dijk, Cornelia M. van Duijn · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  17. Metabolites downstream of predicted loss-of-function variants inform relationship to disease
    Mengbo Li, Andy Yi-Yang Wang, Lake‐Ee Quek, Stephen Thomas Vernon, Gemma Alexandra Figtree, Jean Yee Hwa Yang, John O’Sullivan · 2019 · Molecular Genetics and Metabolism
  18. Integration of Multi-Omics in Type 2 Diabetes and Related Disorders Research
    Jun Liu · 2020 · EUR Research Repository (Erasmus University Rotterdam)
  19. Lipoprotein (a): Principles from Bench to Bedside
    Marlys L. Koschinsky, Michael B. Boffa · 2020 · Contemporary cardiology
  20. A matter of fat : Epidemiological studies of dietary and plasma fatty acids in coronary heart disease
    Kamalita Pertiwi · 2021
  21. Environment-host-microbe interactions shape human metabolism
    Lianmin Chen, Jingyuan Fu · 2021
  22. A multidimensional Mendelian randomization study on the impact of gut dysbiosis on chronic diseases and human longevity
    Éloi Gagnon, Patricia L. Mitchell, Hasanga D. Manikpurage, Erik Abner, Nele Taba, Tõnu Esko, Nooshin Ghodsian, Sébastien Thériault, Patrick Mathieu, Benoît J. Arsenault · 2021 · medRxiv
  23. Investigating the relationships between unfavorable sleep and metabolomic traits: Evidence from multi-cohort multivariable regression and mendelian randomization analyses
    Maxime M. Bos, Neil Goulding, Matthew A. Lee, Amy Hofman, Mariska Bot, René Pool, Lisanne S. Vijfhuizen, Xiang Zhang, C. Li, Rima Mustafa et al. · 2021 · Atherosclerosis
  24. Deregulation, competition policy and intra-professional contests in medical education
    Kathryn Dwan, Rosalie A. Boyce · 2001
  25. Omics: Potential Role in Early Phase Drug Development
    Harald Grallert, Carola Marzi, Stefanie M. Hauck, Christian Gieger · 2019 · Springer eBooks
  26. PathGPS: Discover shared genetic architecture using biobank data
    Zijun Gao, Trevor J. Hastie, Qingyuan Zhao · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  27. Metabolomics in Cardiovascular Research
    Veikko V Salomaa, Michael Inouye · 2017 · Elsevier eBooks
  28. Faculty Opinions recommendation of Exome sequencing of Finnish isolates enhances rare-variant association power.
    Fowzan Sami Alkuraya · 2019 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  29. Faculty Opinions recommendation of Adipsin preserves beta cells in diabetic mice and associates with protection from type 2 diabetes in humans.
    Bente Klarlund Pedersen · 2019 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  30. Faculty Opinions recommendation of Genetics of 35 blood and urine biomarkers in the UK Biobank.
    Karsten Michael Borgwardt · 2021 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  31. Novel Genetic Loci Associated with Osteoarthritis in Multi-Ancestry Analyses in 484,374 Participants from MVP and the UK Biobank
    Merry‐Lynn McDonald, Preeti Lakshman Kumar, Vinodh Srinivasasainagendra, Ashwathy Nair, Alison Rocco, Ava C. Wilson, Joe W. Chiles, Joshua Richman, Sarah A. Pinson, Richard A. Dennis et al. · 2022 · medRxiv
  32. Mendelian Randomization Study of Age at Diagnosis of Diabetes with Cardiovascular Diseases and Cardiometabolic Traits
    Chaojie Ye, Lijie Kong, Yiying Wang, Zhiyun Zhao, Mian Li, Yu Xu, Min Xu, Jieli Lu, Shuangyuan Wang, Hong Lin et al. · 2022 · SSRN Electronic Journal
  33. A metabolome-wide Mendelian randomization study prioritizes causal circulating metabolites for multiple sclerosis
    Angela Ge, Yitang Sun, Thaddaeus Kiker, Yanjiao Zhou, Kaixiong Ye · 2022 · medRxiv
  34. Identifying and characterising blood biomarkers associated with migraine risk
    Hamzeh Mesrian Tanha · 2023 · Queensland University of Technology
  35. The Role of Lp(a) in Atherosclerosis: An Overview
    Anastasiya Matveyenko, Marianna Pavlyha, Gissette Reyes‐Soffer · 2023 · Contemporary cardiology
  36. Peer Review #1 of "Association of ApoE gene polymorphisms with serum lipid levels and the risk of type 2 diabetes mellitus in the Chinese Han population of central China (v0.1)"
    2023 · PeerJ
  37. Peer Review #2 of "Association of ApoE gene polymorphisms with serum lipid levels and the risk of type 2 diabetes mellitus in the Chinese Han population of central China (v0.1)"
    2023 · PeerJ
  38. Genotype-based “virtual” metabolomics in a clinical biobank identifies novel metabolite-disease associations
    Jane F. Ferguson, Minoo Bagheri, Andrei Bombin, Mingjian Shi, Venkatesh Locharla Murthy, Ravi V. Shah, Jonathan D. Mosley · 2023 · Research Square
  39. Lifelong impacts of puberty timing on human plasma metabolic profiles
    Zengjun Li, Si Fang, Dong Liu, Fei Ran Li, Cairong Zhu, Jian Zhao · 2023 · medRxiv
  40. Integrated Multiplex Network-Based Approach for Novel Biomarker Identification in Sleep Apnea
    Fangchao Zhao, Shujun Li · 2023 · SSRN Electronic Journal
  41. Genotype-based “virtual” metabolomics in a clinical biobank identifies novel metabolite-disease associations
    Minoo Bagheri, Andrei Bombin, Mingjian Shi, Venkatesh Locharla Murthy, Ravi V. Shah, Jonathan D. Mosley, Jane F. Ferguson · 2023 · Research Square
  42. A precision medicine approach to coronary artery disease risk prediction and mitigation in people with type 2 diabetes
    Paul W. Franks, Daniel Coral, Juan J. Fernandez-Tajes, Marie Pigeyre, Michael Chong, Naeimeh Atabaki‐Pasdar, Hugo Fitipaldi, Sebastian Kalamajski, Maria F. Gomez, Guillaume Paré et al. · 2023 · Research Square
  43. From Genomics Data to Causality: An Integrated Pipeline for Mendelian Randomization
    Jyoti Sharma, Vaishnavi Jangale, Asish Kumar Swain, Pankaj Yadav · 2023 · medRxiv
  44. Decreased circulating omega-3 fatty acids increase the risk of myocardial infarction: a two-sample Mendelian randomization study
    Wei Wang, Linfei Yang, Jing Zhang, Haiyun Xiang · 2024 · Frontiers in Cardiovascular Medicine
  45. The role of lipid metabolism and immune response in the pathogenesis of Ankylosing spondylitis and Primary glaucoma: A Bidirectional Mendelian Randomization Study
    Shenglan Xu, Liang Zhao, Yu-Da Wang, Qiuyu Li, Haoyu Wang, Xing Wu, Junhua Li · 2024 · Research Square
  46. Additional file 1 of Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses
    Maxime M. Bos, Neil Goulding, Matthew A. Lee, Amy Hofman, Mariska Bot, René Pool, Lisanne S. Vijfhuizen, Xiang Zhang, Chihua Li, Rima Mustafa et al. · 2021 · Figshare
  47. Additional file 13 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  48. Additional file 11 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  49. Additional file 3 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  50. Additional file 6 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  51. Additional file 16 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  52. Additional file 1 of Causal effect between total cholesterol and HDL cholesterol as risk factors for chronic kidney disease: a mendelian randomization study
    Liu Miao, Min Yan, Bin Qi, Chuan-Meng Zhu, Jianhong Chen, Guo‐Xiong Deng, Yong Wang, Jianfei Li, Rongshan Li · 2021 · Figshare
  53. Additional file 21 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  54. Additional file 1 of Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study
    Caroline J. Bull, Joshua A. Bell, Neil Murphy, Eleanor C. M. Sanderson, George Davey Smith, Nicholas John Timpson, Barbara L. Banbury, Demetrius Albanes, Sonja I. Berndt, Stéphane Bezieau et al. · 2020 · Figshare
  55. Additional file 17 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  56. Additional file 4 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  57. Additional file 1 of Causality of genetically determined metabolites and metabolic pathways on osteoarthritis: a two-sample mendelian randomization study
    Yifei Gu, Qianmei Jin, Jinquan Hu, Xinwei Wang, Yu, Wenchao, Zhanchao Wang, Chen Wang, Liu, Yang, Yu Chen, Wen Yuan · 2023 · Figshare
  58. Additional file 20 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  59. Additional file 7 of Role of the ADCY9 gene in cardiac abnormalities of the Rubinstein-Taybi syndrome
    Yueheng Wu, Yu Xia, Ping Li, Hui‐Qi Qu, Yichuan Liu, Yongchao Yang, Jijin Lin, Zheng, Meng, Lifeng Tian, Zhuanbin Wu et al. · 2020 · Figshare
  60. Additional file 1 of Causal association between 637 human metabolites and ovarian cancer: a mendelian randomization study
    Yedong Huang, Wenyu Lin, Xiangqin Zheng · 2024 · Figshare
  61. Additional file 14 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  62. Additional file 7 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  63. Additional file 9 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  64. Additional file 6 of Role of the ADCY9 gene in cardiac abnormalities of the Rubinstein-Taybi syndrome
    Yueheng Wu, Yu Xia, Ping Li, Hui‐Qi Qu, Yichuan Liu, Yongchao Yang, Jijin Lin, Zheng, Meng, Lifeng Tian, Zhuanbin Wu et al. · 2020 · Figshare
  65. Additional file 23 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  66. Additional file 8 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  67. Additional file 8 of Role of the ADCY9 gene in cardiac abnormalities of the Rubinstein-Taybi syndrome
    Yueheng Wu, Yu Xia, Ping Li, Hui‐Qi Qu, Yichuan Liu, Yongchao Yang, Jijin Lin, Zheng, Meng, Lifeng Tian, Zhuanbin Wu et al. · 2020 · Figshare
  68. Additional file 22 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  69. Additional file 1 of Genetically predicted plasma levels of amino acids and metabolic dysfunction-associated fatty liver disease risk: a Mendelian randomization study
    Jian Zhao, Jing Zeng, Cairong Zhu, Xuechao Li, Dong Liu, Jun Zhang, Fei Li, Giovanni Targher, Jian‐Gao Fan · 2023 · Figshare
  70. Additional file 1 of Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants
    Maria Carolina Borges, Philip Haycock, Jie Zheng, Gibran Hemani, Michael Vaclav Holmes, George Davey Smith, Aroon Dinesh Hingorani, Debbie A. Lawlor · 2022 · Figshare
  71. Additional file 19 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  72. Additional file 1 of A cross-omics integrative study of metabolic signatures of chronic obstructive pulmonary disease
    Prokić, Ivana, Lies Lahousse, Maaike de Vries, Jun Liu, Marita Kalaoja, Judith M. Vonk, Diana A. van der Plaat, Cleo C. van Diemen, Ashley van der Spek, Alexandra Zhernakova et al. · 2020 · Figshare
  73. Additional file 1 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  74. Additional file 2 of Genetically mimicked effects of ASGR1 inhibitors on all-cause mortality and health outcomes: a drug-target Mendelian randomization study and a phenome-wide association study
    Guoyi Yang, Catherine Mary Schooling · 2023 · Figshare
  75. Additional file 3 of Role of the ADCY9 gene in cardiac abnormalities of the Rubinstein-Taybi syndrome
    Yueheng Wu, Yu Xia, Ping Li, Hui‐Qi Qu, Yichuan Liu, Yongchao Yang, Jijin Lin, Zheng, Meng, Lifeng Tian, Zhuanbin Wu et al. · 2020 · Figshare
  76. Additional file 10 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  77. Additional file 2 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  78. Additional file 12 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  79. Additional file 24 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  80. Additional file 18 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  81. Additional file 15 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
    Xiaojing Chu, Martin Jaeger, Joep Beumer, Olivier B. Bakker, Raúl Aguirre‐Gamboa, Marije Oosting, Sanne P. Smeekens, Simone J.C.F.M. Moorlag, Vera P. Mourits, Valerie A. C. M. Koeken et al. · 2021 · Figshare
  82. The Association Between apolipoprotein B and Risk of Cardiovascular Disease：Mendelian randomization analysis
    Pengli Chen, Ziwei Song, Dewang Ran, Lili Li · 2024 · Research Square
  83. Mega study charts how genetic variants affect metabolism
    2024 · Nature
  84. Metabolome-Wide Mendelian Randomization to Evaluate the Causal Association Between Blood Metabolites and Rosacea
    Min Li, Yuliang Huang, Dan Dan Zhan, Yu Wang, Xiao Han Hu, Ming Zhang, Zhou Zhou · 2024 · Research Square
  85. Genetic association of lipids and lipid-lowering drug targets with the risk of type 1 diabetes and its complications
    Haocheng Wang, Zirui Liu, Zhengkai Yang, Yu Lu, Cao Zou · 2024 · Research Square
  86. Investigating the Relationship Between Gut Microbiota and Ischemic Stroke: Genetic Causality and Metabolite Mediation
    Liya Ye, Gang Yu, Jing Shen, Hui Cai · 2024 · Research Square
  87. Causal Relationship Among Intestinal Microbiota, Lipid Metabolites, and Cholangiocarcinoma: A Mendelian Randomization Study
    Sicheng Xu, Xing He, Liqiang Liu, Junkai Ren, Qixian Zhou, Huilin Ye, Wenbin Li, Haikuo Wang · 2024 · Research Square
  88. Mendelian randomization study of urolithiasis: exploration of risk factors using human blood metabolites
    Dekai Hu, Jiashan Pan, Anqi Deng, Defeng Ge, Rui Yao, Bingbing Hou, Zongyao Hao · 2024 · BMC Urology
  89. Genetic insights into dietary patterns, liposome mediation, and osteoporosis risk: a Mendelian randomization study
    Kehan Long, Tengfei Zheng, Ao Gong, Zhendong Ying, Lei Zhang · 2024 · Frontiers in Nutrition
  90. Lifelong impacts of puberty timing on human plasma metabolic profiles: A metabolome‐wide Mendelian randomization study
    Zengjun Li, Xuechao Li, Si Fang, Dong Liu, Fei Li, Cairong Zhu, Jian Zhao · 2024 · Diabetes Obesity and Metabolism
  91. Causal relationship between amino acids and ovarian cancer in the European population: A bidirectional Mendelian randomization study and meta-analysis
    Yingji Ma, Jiaqi Su, Crystal Ma · 2024 · Medicine
  92. Causal association of plasma n-3 PUFA with peptic ulcer disease: a two-sample Mendelian randomisation study
    Zebin Dai, Qinjian Wang, Bingbing He, Shi Fang, Wei Chen, Qingxi Jiang, Dan Zhou, Zhanxiong Xue, Bo Yang · 2024 · British Journal Of Nutrition
  93. Mitochondrial DNA abundance and circulating metabolomic profiling: Multivariable-adjusted and Mendelian randomization analyses in UK Biobank
    Jiao Min Luo, Saskia le Cessie, Ko Willems van Dijk, Sara Hägg, Felix Graßmann, Diana van Heemst, Raymond Noordam · 2024 · Mitochondrion
  94. Transcriptomic and Metabolomic Analyses in Monozygotic and Dizygotic Twins
    Nikki Hubers, Gabin Drouard, Rick Jansen, René Pool, Jouke‐Jan Hottenga, Miina Ollikainen, Xiao-Ling Wang, Gonneke A. H. M. Willemsen, Jaakko A. Kaprio, Dorret Irene Boomsma et al. · 2024 · American Journal of Medical Genetics Part A
  95. The Protective Effect of Breastfeeding on Infant Inflammation: A Mediation Analysis of the Plasma Metabolome and Lipidome
    Satvika Burugupalli, Toby Mansell, Tingting Wang, Alexandra D. George, Sudip Paul, Richard Saffery, Mimi L.K. Tang, Thomas W. McDade, Habtamu B. Beyene, Thy Duong et al. · 2025 · SSRN Electronic Journal
  96. NMR Data Science
    Jun Kikuchi · 2025 · Springer eBooks
  97. Plasma metabolite based clustering of breast cancer survivors and identification of dietary and health related characteristics: an application of unsupervised machine learning
    Ga-Eun Yie, Woojin Kyeong, Sihan Song, Zisun Kim, Hyun Jo Youn, Jihyoung Cho, Jun Won Min, Yoo Seok Kim, Jung Eun Lee · 2025 · Nutrition Research and Practice
  98. Endophenotype-Informed Association Analyses for Liver Fat Accumulation and Metabolic Dysfunction in the Fels Longitudinal Study
    Ariana L. Garza, J. Blangero, Miryoung Lee, Cici X. Bauer, S. Czerwinski, A. Choh · 2025 · International Journal of Molecular Sciences
  99. Integrated proteomic, transcriptomic, and epigenomic profiling identifies SRA1 as a novel therapeutic target for postpartum depression
    Haozhang Huang, Ming Chen, Qinling Wei, Haowen Li, Huangtao Ruan, Linyan Fu, Junxiao Ma, Xiaowei Xia, Yanting Liao, Cai‐Lan Hou · 2025 · Research Square
  100. Premature ovarian insufficiency as a consequence of immunological abnormalities and dyslipidemia: a Mendelian randomization study
    Fengping Shao, Yinguang Li · 2025 · Gynecological Endocrinology