Genome-wide association study identifies multiple loci influencing human serum metabolite levels

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    Joel T. Dudley, Jennifer Listgarten, Oliver Stegle, Steven E. Brenner, Leopold Parts · 2014 · Pacific Symposium on Biocomputing (PSB)
44. Multiple susceptibility loci at chromosome 11q23.3 are associated with plasma triglyceride in East Asians
    Gombojav Bayasgalan, Soo Ji Lee, Minjung Kho, Yun‐Mi Song, Kayoung Lee, Joohon Sung · 2015 · Journal of Lipid Research
45. Nonadditive Effects of Genes in Human Metabolomics
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    Bénédicte L. Tremblay, Frédéric Guénard, Benoı̂t Lamarche, Louis Përusse, Marie‐Claude Vohl · 2018 · Nutrition Research
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    Jessica Lazarus, Karen A. Mather, Nicola J. Armstrong, Fei Song, Anne Poljak, Anbupalam Thalamuthu, Teresa Lee, Nicole A. Kochan, Henry Brodaty, Margaret J. Wright et al. · 2015 · Journal of Alzheimer s Disease
49. Small molecular glucokinase activators: has another new anti‐diabetic therapeutic lost favour?
    Matthew G. Rees, Anna L. Gloyn · 2012 · British Journal of Pharmacology
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    Rutger Verbeek, Marjorie Boyer, S. Matthijs Boekholdt, G. Kees Hovingh, John J.P. Kastelein, Nicholas J. Wareham, Kay‐Tee Khaw, Benoît J. Arsenault · 2016 · Arteriosclerosis Thrombosis and Vascular Biology
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    Yao Hu, Mariaelisa Graff, Jeffrey Haessler, Steven G. Buyske, Stephanie A. Bien, Ran Tao, Heather M. Highland, Katherine K. Nishimura, Niha Zubair, Yingchang Lu et al. · 2020 · PLoS Genetics
52. Automated quantum mechanical total line shape fitting model for quantitative NMR-based profiling of human serum metabolites
    Velitchka V. Mihaleva, Samuli‐Petrus Korhonen, John van Duynhoven, Mathias Niemitz, Jacques J. M. Vervoort, Doris M. Jacobs · 2014 · Analytical and Bioanalytical Chemistry
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57. Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
    Deming, Yuetiva, Xia, Jian, Cai, Yefei, Lord, Jenny, Del-Aguila, Jorge L., Fernandez, Maria Victoria, Carrell, David, Black, Kathleen, Budde, John, Ma, ShengMei et al. · 2016 · Scientific Reports
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    Leonardo Bottolo, Marco Banterle, Sylvia T. Richardson, Mika Ala‐Korpela, Marjo‐Riitta Järvelin, Alex Lewin · 2021 · Journal of the Royal Statistical Society Series C (Applied Statistics)
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    Abhishek Nag, Yuko Kurushima, Ruth C. E. Bowyer, Philippa M. Wells, Stefan Weiß, Maik Pietzner, Thomas Kocher, Johannes Raffler, Uwe Völker, Massimo Mangino et al. · 2020 · Human Molecular Genetics
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    Shuliu Sun, Minjie Jiao, Chengcheng Han, Qian Zhang, Wenhao Shi, Juanzi Shi, Xiaojuan Li · 2020 · Frontiers in Endocrinology
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    Mika Ala‐Korpela, George Davey Smith · 2016 · International Journal of Epidemiology
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    Bing Yu, Paul S. de Vries, Ginger Metcalf, Zhe Wang, Elena V. Feofanova, Xiaoming Liu, Donna Marie Muzny, Lynne E. Wagenknecht, Richard A. Gibbs, Alanna C. Morrison et al. · 2016 · Genome biology
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    Xiaocan Jia, Yongli Yang, Yuancheng Chen, Zhenhua Xia, Weiping Zhang, Yu Ying Feng, Yifan Li, Jiebing Tan, Chao Xu, Qıang Zhang et al. · 2018 · International Journal of Cardiology
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