Genome-wide association study identifies multiple loci influencing human serum metabolite levels
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Nuclear magnetic resonance assays allow for measurement of a wide range of metabolic phenotypes. We report here the results of a GWAS on 8,330 Finnish individuals genotyped and imputed at 7.7 million SNPs for a range of 216 serum metabolic phenotypes assessed by NMR of serum samples. We identified significant associations (P < 2.31 × 10(-10)) at 31 loci, including 11 for which there have not been previous reports of associations to a metabolic trait or disorder. Analyses of Finnish twin pairs suggested that the metabolic measures reported here show higher heritability than comparable conventional metabolic phenotypes. In accordance with our expectations, SNPs at the 31 loci associated with individual metabolites account for a greater proportion of the genetic component of trait variance (up to 40%) than is typically observed for conventional serum metabolic phenotypes. The identification of such associations may provide substantial insight into cardiometabolic disorders.
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A population study of 8,330 European individuals analyzed 216 serum metabolites using NMR and identified 31 mQTLs, including 11 novel loci without known association with any traits or diseases.
“Another population study of 8,330 European individuals analyzed 216 serum metabolites using NMR (Kettunen et al., 2012). The GWAS of these metabolites identified 31 mQTLs including 11 novel loci without known association with any traits or diseases.”
From Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016) · cites this paper as Kettunen et al., 2012
Several systems genetics studies of metabolites in human plasma or serum have been reported.
“Several systems genetics studies of metabolites in human plasma or serum have been reported (Gieger et al., 2008; Kettunen et al., 2012; Shin et al., 2014; Suhre et al., 2011; Yu et al., 2013).”
From Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016) · cites this paper as Kettunen et al., 2012
Genome-wide analysis studies have identified loci associated with variations in endogenous metabolite concentrations, and many of these genes coded for metabolic enzymes.
“A number of loci associated with variations in the concentration of endogenous metabolites could be identified in genome-wide analysis studies, and many of these genes were coding for metabolic enzymes (180-182).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [182]
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A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
Self-citationHindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013 · see citing works
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,527 · see citing works
Self-citationMetabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143 · see citing works
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026 · see citing works
Self-citationType 2 diabetes: principles of pathogenesis and therapy
Stumvoll, M., Goldstein, B. J., & van Haeften, T. W. (2005) · The Lancet · doi:10.1016/s0140-6736(05)61032-x · Cited by 2,662 · see citing works
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609 · see citing works
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.520 · Cited by 2,166 · see citing works
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843 · see citing works
GenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836 · see citing works
Newly identified loci that influence lipid concentrations and risk of coronary artery disease
Willer, C. J., Sanna, S., Jackson, A. U., Scuteri, A., Bonnycastle, L. L., Clarke, R., Heath, S. C., Timpson, N. J., Najjar, S. S., Stringham, H. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.76 · Cited by 1,585 · see citing works
Kathiresan, S., Melander, O., Guiducci, C., Surti, A., Burtt, N. P., Rieder, M. J., Cooper, G. M., Roos, C., Voight, B. F., Havulinna, A. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.75 · Cited by 1,386 · see citing works
Self-citationHuman metabolic individuality in biomedical and pharmaceutical research
CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature · doi:10.1038/nature10354 · Cited by 1,017 · see citing works
Protein phosphatase 1 – targeted in many directions
Cohen, P. T. W. (2002) · Journal of Cell Science · doi:10.1242/jcs.115.2.241 · Cited by 916 · see citing works
Dunn, W. B., Broadhurst, D., Atherton, H. J., Goodacre, R., & Griffin, J. L. (2010) · Chemical Society Reviews · doi:10.1039/b906712b · Cited by 870 · see citing works
Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts
Aulchenko, Y. S., Janssens, A. C. J. W., Albert Hofman, D., Isaacs, A. J., Sijbrands, E. J. G., Witteman, J. C. M., van Duijn, C. M., Ripatti, S., Lindqvist, I., Perola, M., et al. (2008) · Nature Genetics · doi:10.1038/ng.269 · Cited by 846 · see citing works
Self-citationVariants in MTNR1B influence fasting glucose levels
Prokopenko, I., Langenberg, C., Florez, J. C., Saxena, R., Soranzo, N., Þorleifsson, G., Loos, R. J. F., Manning, A. K., Jackson, A., Aulchenko, Y. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.290 · Cited by 743 · see citing works
Self-citationGenetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum
Gieger, C., Geistlinger, L., Altmaier, E., Hrabé de Angelis, M., Kronenberg, F., Meitinger, T., Mewes, H.-W., Wichmann, H.-E., Weinberger, K. M., Adamski, J., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000282 · Cited by 737 · see citing works
Kolz, M., Johnson, T., Sanna, S., Teumer, A., Vitart, V., Perola, M., Mangino, M., Albrecht, E., Wallace, C., Farrall, M., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000504 · Cited by 659 · see citing works
Self-citationA genome-wide perspective of genetic variation in human metabolism
Illig, T., Gieger, C., Zhai, G., Römisch-Margl, W., Wang-Sattler, R., Prehn, C., Altmaier, E., Kastenmüller, G., Kato, B. S., Mewes, H.-W., et al. (2010) · Nature Genetics · doi:10.1038/ng.507 · Cited by 653 · see citing works
GWAMA: software for genome-wide association meta-analysis
Mägi, R., & Morris, A. P. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-288 · Cited by 603 · see citing works
High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
Soininen, P., Kangas, A. J., Würtz, P., Tukiainen, T., Tynkkynen, T., Laatikainen, R., Järvelin, M., Kähönen, M. A. P., Lehtimäki, T. J., Viikari, J. S. A., et al. (2009) · The Analyst · doi:10.1039/b910205a · Cited by 591 · see citing works
Self-citationWallace, C., Newhouse, S., Braund, P. S., Zhang, F., Tobin, M. D., Falchi, M., Ahmadi, K. R., Dobson, R., Marçano, A. C. B., Hajat, C., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.11.001 · Cited by 437 · see citing works
Chasman, D. I., Paré, G., Mora, S., Hopewell, J. C., Peloso, G., Clarke, R., Cupples, L. A., Hamsten, A., Kathiresan, S., Mälarstig, A., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000730 · Cited by 337 · see citing works
Self-citationINSULIN, GLUCAGON, AMINOACID IMBALANCE, AND HEPATIC ENCEPHALOPATHY
Soeters, P. B., & Fischer, J. (1976) · The Lancet · doi:10.1016/s0140-6736(76)90541-9 · Cited by 257 · see citing works
A Polymorphism Within the G6PC2 Gene Is Associated with Fasting Plasma Glucose Levels
Bouatia‐Naji, N., Rocheleau, G., Lommel, L. V., Lemaire, K., Schuit, F. C., Cavalcanti-Proença, C., Marchand, M., Hartikainen, A., Sovio, U., Graeve, F. D., et al. (2008) · Science · doi:10.1126/science.1156849 · Cited by 242 · see citing works
Self-citationA genotype calling algorithm for the Illumina BeadArray platform
Teo, Y. Y., Inouye, M., Small, K. S., Gwilliam, R., Deloukas, P., Kwiatkowski, D. P., & Clark, T. G. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm443 · Cited by 216 · see citing works
Self-citationTLR3-induced activation of mast cells modulates CD8+ T-cell recruitment
Orinska, Z., Bulanova, E., Budagian, V., Metz, M., Maurer, M., & Bulfone‐Paus, S. (2005) · Blood · doi:10.1182/blood-2004-07-2656 · Cited by 181 · see citing works
Ding, J., Gudjonsson, J. E., Liang, L., Stuart, P. E., Li, Y., Chen, W., Weichenthal, M., Ellinghaus, E., Franke, A., Cookson, W., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.10.024 · Cited by 180 · see citing works
An Immune Response Network Associated with Blood Lipid Levels
Inouye, M., Silander, K., Hämäläinen, E., Salomaa, V. V., Harald, K., Jousilahti, P., Männistö, S., Eriksson, J. G., Saarela, J., Ripatti, S., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001113 · Cited by 125 · see citing works
Self-citationFcγ Receptor Deficiency Confers Protection Against Atherosclerosis in Apolipoprotein E Knockout Mice
Hernández-Vargas, P., Ortiz-Muñoz, G., López‐Franco, Ó., Suzuki, Y., Gallego‐Delgado, J., Sanjuán, G., Lázaro, A., López-Parra, V., Ortega, L. M., Egido, J., et al. (2006) · Circulation Research · doi:10.1161/01.res.0000250556.07796.6c · Cited by 107 · see citing works
Marone, G., Galli, S. J., & Kitamura, Y. (2002) · Trends in Immunology · doi:10.1016/s1471-4906(02)02274-3 · Cited by 97 · see citing works
Koot, B. G. P., Houwen, R. H. J., Pot, D. J., & Nauta, J. (2004) · European Journal of Pediatrics · doi:10.1007/s00431-004-1492-z · Cited by 87 · see citing works
Bergstrom, J. D., & Reitz, R. C. (1980) · Archives of Biochemistry and Biophysics · doi:10.1016/0003-9861(80)90008-9 · Cited by 82 · see citing works
Point mutations in the tyrosine aminotransferase gene in tyrosinemia type II.
Natt, E., Kida, K., Odièvre, M., Rocco, M. D., & Scherer, G. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.19.9297 · Cited by 82 · see citing works
Zhang, S., Liu, X., Yu, Y., Hong, X., Christoffel, K. K., Wang, B., Tsai, H., Li, Z., Liu, X., Tang, G., et al. (2009) · Obesity · doi:10.1038/oby.2009.125 · Cited by 60 · see citing works
Surakka, I. L., Kristiansson, K., Anttila, Inouye, M., Barnes, C. P., Moutsianas, L., Salomaa, V. V., Daly, M. J., Palotie, A. V., Peltonen, L., et al. (2010) · Genome Research · doi:10.1101/gr.106534.110 · Cited by 52 · see citing works
Self-citationZhao, M. F., Wigren, M., Dunér, P., Kolbus, D., Olofsson, K. E., Björkbacka, H., Nilsson, J. Å., & Fredrikson, G. N. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.0902654 · Cited by 51 · see citing works
Isaacs, A. J., Sayed‐Tabatabaei, F. A., Aulchenko, Y. S., Zillikens, M. C., Sijbrands, E. J. G., Schut, A. F., Rutten, W. P. F., Pols, H. A. P., Witteman, J. C. M., Oostra, B. A., et al. (2007) · European Journal of Epidemiology · doi:10.1007/s10654-006-9103-0 · Cited by 32 · see citing works
Histamine release from human bronchoalveolar lavage mast cells by neurokinin A and bradykinin
Cross, L. J. M., Heaney, L. G., & Ennis, M. (1997) · Inflammation Research · doi:10.1007/s000110050192 · Cited by 27 · see citing works
Shin, Y., Vaziri, N. D., Willekes-Koolschijn, N., Kim, C. H., & Joles, J. A. (2005) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00037.2005 · Cited by 14 · see citing works
A Speculation About Hypercholesterolemia in Congenital Analbuminemia
Rosipal, Š., Debreová, M., & Rosipal, R. (2006) · The American Journal of Medicine · doi:10.1016/j.amjmed.2005.10.038 · Cited by 12 · see citing works
Serum Parameters as Discriminators between Normal and Coronary Groups
Schlessinger, B. S., Wilson, F. H., & Milch, L. J. (1959) · Circulation · doi:10.1161/01.cir.19.2.265 · Cited by 12 · see citing works
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10 Years of GWAS Discovery: Biology, Function, and Translation
Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719 · see citing works
Self-citationMulti-omics approaches to disease
Hasin, Y., Seldin, M., & Lusis, A. (2017) · Genome Biology · doi:10.1186/s13059-017-1215-1 · Cited by 2,953 · see citing works
An atlas of genetic influences on human blood metabolites
The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Shin, S.-Y., Fauman, E. B., Petersen, A.-K., Krumsiek, J., Santos, R., Huang, J., Arnold, M., Erte, I., Forgetta, V., et al. (2014) · Nature Genetics · doi:10.1038/ng.2982 · Cited by 1,515 · see citing works
Branched-chain amino acids in metabolic signalling and insulin resistance
Lynch, C. J., & Adams, S. H. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.171 · Cited by 1,461 · see citing works
Soininen, P., Kangas, A. J., Würtz, P., Suna, T., & Ala‐Korpela, M. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000216 · Cited by 890 · see citing works
Self-citationKettunen, J., Demirkan, A., Würtz, P., Draisma, H. H. M., Haller, T., Rawal, R., Vaarhorst, A., Kangas, A. J., Lyytikäinen, L.-P., Pirinen, M., et al. (2016) · Nature Communications · doi:10.1038/ncomms11122 · Cited by 738 · see citing works
Self-citationWürtz, P., Kangas, A. J., Soininen, P., Lawlor, D. A., Smith, G. D., & Ala‐Korpela, M. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx016 · Cited by 660 · see citing works
Self-citationAnalytical Methods in Untargeted Metabolomics: State of the Art in 2015
Alonso, A., Marsal, S., & Julià, A. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00023 · Cited by 685 · see citing works
Metabolite Profiling and Cardiovascular Event Risk
Würtz, P., Havulinna, A. S., Soininen, P., Tynkkynen, T., Prieto‐Merino, D., Tillin, T., Ghorbani, A., Artati, A., Wang, Q., Tiainen, M., et al. (2015) · Circulation · doi:10.1161/circulationaha.114.013116 · Cited by 667 · see citing works
Self-citationSystems genetics approaches to understand complex traits
Civelek, M., & Lusis, A. J. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3575 · Cited by 621 · see citing works
Stegemann, C., Pechlaner, R., Willeit, P., Langley, S. R., Mangino, M., Mayr, U., Menni, C., Moayyeri, A., Santer, P., Rungger, G., et al. (2014) · Circulation · doi:10.1161/circulationaha.113.002500 · Cited by 563 · see citing works
Shim, H., Chasman, D. I., Smith, J. D., Mora, S., Ridker, P. M., Nickerson, D. A., Krauss, R. M., & Stephens, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120758 · Cited by 562 · see citing works
The food metabolome: a window over dietary exposure
Scalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., Rappaport, S. M., van der Hooft, J. J., & Wishart, D. S. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.076133 · Cited by 519 · see citing works
Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights
Wen, W., Li, D., Li, X., Gao, Y., Li, W., Li, H., Liu, J., Liu, H., Chen, W., Luo, J., et al. (2014) · Nature Communications · doi:10.1038/ncomms4438 · Cited by 512 · see citing works
Lipids, lipoproteins, and metabolites and risk of myocardial infarction and stroke
Holmes, M. V., Millwood, I. Y., Kartsonaki, C., Hill, M. R., Bennett, D. A., Boxall, R., Guo, Y., Xu, X., Bian, Z., Hu, R., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.12.006 · Cited by 508 · see citing works
Self-citationSun, Y. V., & Hu, Y.-J. (2016) · Advances in Genetics · doi:10.1016/bs.adgen.2015.11.004 · Cited by 459 · see citing works
Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu
Leitsalu, L., Haller, T., Esko, T., Tammesoo, M., Alavere, H., Snieder, H., Perola, M., Ng, P. C., Mägi, R., Milani, L. A., et al. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt268 · Cited by 437 · see citing works
Self-citationA reference map of potential determinants for the human serum metabolome
Bar, N., Korem, T., Weissbrod, O., Zeevi, D., Rothschild, D., Leviatan, S., Kosower, N., Lotan‐Pompan, M., Weinberger, A., Roy, C. I. L., et al. (2020) · Nature · doi:10.1038/s41586-020-2896-2 · Cited by 440 · see citing works
Challenges and emergent solutions for LC‐MS/MS based untargeted metabolomics in diseases
Liang, C., Lu, H., & Lee, Y. H. (2018) · Mass Spectrometry Reviews · doi:10.1002/mas.21562 · Cited by 419 · see citing works
Lotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002179 · Cited by 417 · see citing works
Self-citationGlycA: A Composite Nuclear Magnetic Resonance Biomarker of Systemic Inflammation
Otvos, J. D., SHALAUROVA, I. Y., Wolak, J. E., Connelly, M. A., Mackey, R. H., Stein, J. H., & Tracy, R. P. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2014.232918 · Cited by 401 · see citing works
A Systems Genetics Approach Identifies Genes and Pathways for Type 2 Diabetes in Human Islets
Taneera, J., Lang, S., Sharma, A., Fadista, J., Zhou, Y., Ahlqvist, E., Jonsson, A. E., Lyssenko, V., Vikman, P. J., Hansson, O., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.06.006 · Cited by 376 · see citing works
The continuing value of twin studies in the omics era
van Dongen, J., Slagboom, P., Draisma, H., Martin, N. G., & Boomsma, D. (2012) · Nature reviews genetics · doi:10.1038/nrg3243 · Cited by 398 · see citing works
Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease
Folkersen, L., Fauman, E., Sabater-Lleal, M., Strawbridge, R. J., Frånberg, M., Sennblad, B., Baldassarre, D., Veglia, F., Humphries, S. E., Rauramaa, R., et al. (2017) · PLOS Genetics · doi:10.1371/journal.pgen.1006706 · Cited by 343 · see citing works
Deelen, J., Kettunen, J., Fischer, K., van der Spek, A., Trompet, S., Kastenmüller, G., Boyd, A., Zierer, J., van den Akker, E. B., Ala-Korpela, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11311-9 · Cited by 362 · see citing works
Self-citationSookoian, S. C., & Pirola, C. J. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i3.711 · Cited by 344 · see citing works
Fischer, K., Kettunen, J., Würtz, P., Haller, T., Havulinna, A. S., Kangas, A. J., Soininen, P., Esko, T., Tammesoo, M.-L., Mägi, R., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001606 · Cited by 344 · see citing works
Self-citationXie, H., Guo, R., Zhong, H., Feng, Q., Lan, Z., Qin, B., Ward, K. J., Jackson, M. A., Xia, Y., Chen, X., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.10.004 · Cited by 341 · see citing works
A Genome-wide Association Study of the Human Metabolome in a Community-Based Cohort
Rhee, E. P., Ho, J. E., Chen, M., Shen, D., Cheng, S. C., Larson, M. G., Ghorbani, A., Shi, X. D., Helenius, I. T., O’Donnell, C. J., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.06.013 · Cited by 318 · see citing works
Scientific Opinion on Dietary Reference Values for zinc
EFSA Panel on Dietetic Products, N. A. A. (. (2014) · EFSA Journal · doi:10.2903/j.efsa.2014.3844 · Cited by 324 · see citing works
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Self-citationMendelian randomization: where are we now and where are we going?
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Vanweert, F., Schrauwen, P., & Esther Phielix, E. (2022) · Nutrition and Diabetes · doi:10.1038/s41387-022-00213-3 · Cited by 315 · see citing works
Gender-specific pathway differences in the human serum metabolome
Krumsiek, J., Mittelstraß, K., Do, K. T., Stückler, F., Ried, J. S., Adamski, J., Peters, A., Illig, T., Kronenberg, F., Friedrich, N., et al. (2015) · Metabolomics · doi:10.1007/s11306-015-0829-0 · Cited by 293 · see citing works
Genetic evidence for causal relationships between maternal obesity-related traits and birth weight
Tyrrell, J., Richmond, R. C., Palmer, T. M., Feenstra, B., Rangarajan, J., Metrustry, S., Cavadino, A., Paternoster, L., Armstrong, L. L., De Silva, N. M. G., et al. (2016) · JAMA · doi:10.1001/jama.2016.1975 · Cited by 284 · see citing works
Self-citationWürtz, P., Wang, Q., Kangas, A. J., Richmond, R. C., Skarp, J., Tiainen, M., Tynkkynen, T., Soininen, P., Havulinna, A. S., Kaakinen, M., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001765 · Cited by 280 · see citing works
Self-citationA metabolic view on menopause and ageing
Auro, K. M., Joensuu, A., Fischer, K., Kettunen, J., Salo, P. P., Mattsson, H., Niironen, M., Kaprio, J. A., Eriksson, J. G., Lehtimäki, T. J., et al. (2014) · Nature Communications · doi:10.1038/ncomms5708 · Cited by 272 · see citing works
Self-citationGenome-wide characterization of circulating metabolic biomarkers
Karjalainen, M. K., Karthikeyan, S., Oliver‐Williams, C., Sliz, E., Allara, E., Fung, W. T., Surendran, P., Zhang, W., Jousilahti, P., Kristiansson, K., et al. (2024) · Nature · doi:10.1038/s41586-024-07148-y · Cited by 268 · see citing works
Self-citationMetabolite-based genome-wide association studies in plants
Luo, J. (2015) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2015.01.006 · Cited by 263 · see citing works
McCaw, Z. R., Lane, J. M., Saxena, R., Redline, S. S., & Lin, X. (2019) · Biometrics · doi:10.1111/biom.13214 · Cited by 255 · see citing works
Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
Jin, Q., & Ma, R. C. W. (2021) · Cells · doi:10.3390/cells10112832 · Cited by 252 · see citing works
Tigchelaar, E. F., Zhernakova, A., Dekens, J. A. M., Hermes, G. D. A., Baranska, A., Mujagic, Z., Swertz, M. A., Contreras, A. M. M., Deelen, P., Cénit, M. C., et al. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-006772 · Cited by 248 · see citing works
Long-term leisure-time physical activity and serum metabolome
Kujala, U. M., Mäkinen, V.-P., Heinonen, I., Soininen, P., Kangas, A. J., Leskinen, T. H., Rahkila, P., Würtz, P., Kovanen, V., Cheng, S., et al. (2013) · Circulation · doi:10.1161/circulationaha.112.105551 · Cited by 239 · see citing works
Self-citationTillin, T., Hughes, A. D., Wang, Q., Würtz, P., Ala‐Korpela, M., Sattar, N. A., Forouhi, N. G., Godsland, I. F., Eastwood, S. V., McKeigue, P., et al. (2015) · Diabetologia · doi:10.1007/s00125-015-3517-8 · Cited by 227 · see citing works
Self-citationMetabolomics and Proteomics in Type 2 Diabetes
Chen, Z., & Gerszten, R. E. (2020) · Circulation Research · doi:10.1161/circresaha.120.315898 · Cited by 207 · see citing works
Caussy, C., Hsu, C., Lo, M., Liu, A., Bettencourt, R., Ajmera, V. H., Bassirian, S., Hooker, J., Sy, E., Richards, L., et al. (2018) · Hepatology · doi:10.1002/hep.29892 · Cited by 205 · see citing works
Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence
Wang, Q., Würtz, P., Auro, K. M., Mäkinen, V., Kangas, A. J., Soininen, P., Tiainen, M., Tynkkynen, T., Jokelainen, J. J., Santalahti, K., et al. (2016) · BMC Medicine · doi:10.1186/s12916-016-0733-0 · Cited by 205 · see citing works
Self-citationCirculating Metabolite Predictors of Glycemia in Middle-Aged Men and Women
Würtz, P., Tiainen, M., Mäkinen, V., Kangas, A. J., Soininen, P., Saltevo, J. T., Keinanen-Kiukaanniemi, S. M., Mäntyselkä, P. T., Lehtimäki, T. J., Laakso, M., et al. (2012) · Diabetes Care · doi:10.2337/dc11-1838 · Cited by 203 · see citing works
Self-citationDraisma, H. H. M., Pool, R., Kobl, M., Jansen, R., Petersen, A.-K., Vaarhorst, A. A. M., Yet, İ., Haller, T., Demirkan, A., Esko, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms8208 · Cited by 196 · see citing works
Self-citationCausal Inference in Cancer Epidemiology: What Is the Role of Mendelian Randomization?
Yarmolinsky, J., Wade, K. H., Richmond, R. C., Langdon, R., Bull, C. J., Tilling, K. M., Relton, C. L., Lewis, S. J., Smith, G. D., & Martin, R. M. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-17-1177 · Cited by 186 · see citing works
Warren, C. R., O’Sullivan, J. F., Friesen, M., Becker, C. E., Zhang, X., Liu, P., Wakabayashi, Y., Morningstar, J. E., Shi, X., Choi, J., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.01.010 · Cited by 191 · see citing works
Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase
Würtz, P., Wang, Q., Soininen, P., Kangas, A. J., Fatemifar, G., Tynkkynen, T., Tiainen, M., Perola, M., Tillin, T., Hughes, A. D., et al. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.12.060 · Cited by 188 · see citing works
Self-citationGenetic variation in metabolic phenotypes: study designs and applications
Suhre, K., & Gieger, C. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3314 · Cited by 187 · see citing works
Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci
Yin, X., Chan, L. S., Bose, D., Jackson, A., VandeHaar, P., Locke, A. E., Fuchsberger, C., Stringham, H. M., Welch, R., Yu, K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29143-5 · Cited by 177 · see citing works
Self-citationGenetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits
Civelek, M., Wu, Y., Pan, C., Raulerson, C. K., Ko, A., He, A., Tilford, C. A., Saleem, N. K., Stančáková, A., Scott, L. J., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.027 · Cited by 173 · see citing works
Dietary habits, lifestyle factors and neurodegenerative diseases
Popa‐Wagner, A., Dumbrava, D., Dumitrascu, D., Căpitănescu, B., Petcu, E. B., Surugiu, R., & Fang, W.-H. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.266045 · Cited by 187 · see citing works
Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
Panyard, D. J., Kim, K. M., Darst, B. F., Deming, Y. K., Zhong, X., Wu, Y., Kang, H., Carlsson, C. M., Johnson, S. C., Asthana, S., et al. (2021) · Communications Biology · doi:10.1038/s42003-020-01583-z · Cited by 179 · see citing works
Exome sequencing of Finnish isolates enhances rare-variant association power
Locke, A. E., Steinberg, K. M., Chiang, C. W. K., Service, S. K., Havulinna, A. S., Stell, L., Pirinen, M., Abel, H., Chiang, C., Fulton, R. S., et al. (2019) · Nature · doi:10.1038/s41586-019-1457-z · Cited by 170 · see citing works
Self-citationInouye, M., Ripatti, S., Kettunen, J., Lyytikäinen, L., Oksala, N., Laurila, P., Kangas, A. J., Soininen, P., Savolainen, M. J., Viikari, J. S. A., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002907 · Cited by 165 · see citing works
Self-citationThe Finnish Twin Cohort Study: An Update
Kaprio, J. A. (2013) · Twin Research and Human Genetics · doi:10.1017/thg.2012.142 · Cited by 169 · see citing works
Self-citationMetabolomics and Diabetes: Analytical and Computational Approaches
Sas, K. M., Karnovsky, A., Michailidis, G. C., & Pennathur, S. (2015) · Diabetes · doi:10.2337/db14-0509 · Cited by 169 · see citing works
Waage, J., collaborators, A., Standl, M., Curtin, J. A., Jessen, L. E., Thorsen, J., Tian, C., Schoettler, N., Flores, C., Abdellaoui, A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0157-1 · Cited by 167 · see citing works
Self-citationMahendran, Y., Cederberg, H., Vangipurapu, J., Kangas, A. J., Soininen, P., Kuusisto, J., Uusitupa, M. I. J., Ala‐Korpela, M., & Laakso, M. (2013) · Diabetes Care · doi:10.2337/dc13-0800 · Cited by 162 · see citing works
Self-citationScaioli, E., Liverani, E., & Belluzzi, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18122619 · Cited by 163 · see citing works
Albumin, bilirubin, uric acid and cancer risk: results from a prospective population-based study
Kuhn, T. E., Sookthai, D., Graf, M. E., Schübel, R., Freisling, H., Johnson, T., Katzke, V. A., & Kaaks, R. (2017) · British Journal of Cancer · doi:10.1038/bjc.2017.313 · Cited by 150 · see citing works
Metabolomics Signatures in Type 2 Diabetes: A Systematic Review and Integrative Analysis
Sun, Y., Gao, H., Fan, Z., He, Y., & Yan, Y. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgz240 · Cited by 149 · see citing works
Pleiotropic genes for metabolic syndrome and inflammation
Kraja, A. T., Chasman, D. I., North, K. E., Reiner, A. P., Yanek, L. R., Kilpeläinen, T. O., Smith, J. A., Dehghan, A., Dupuis, J., Johnson, A. D., et al. (2014) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2014.04.007 · Cited by 147 · see citing works
Assessing the Causal Effects of Human Serum Metabolites on 5 Major Psychiatric Disorders
Yang, J., Yan, B., Zhao, B., Fan, Y., He, X., Yang, L., Ma, Q., Zheng, J., Wang, W., Bai, L., et al. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz138 · Cited by 143 · see citing works
Dimethylguanidino valeric acid is a marker of liver fat and predicts diabetes
O’Sullivan, J., Morningstar, J. E., Yang, Q., Zheng, B., Gao, Y. L., Jeanfavre, S., Scott, J. M., Fernandez, C., Zheng, H., O’Connor, S., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci95995 · Cited by 136 · see citing works
NAFLD risk alleles in PNPLA3, TM6SF2, GCKR and LYPLAL1 show divergent metabolic effects
Sliz, E., Sebert, S. P., Würtz, P., Kangas, A. J., Soininen, P., Lehtimäki, T. J., Kähönen, M. A. P., Viikari, J. S. A., Männikkö, M., Ala‐Korpela, M., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy124 · Cited by 135 · see citing works
Self-citationApproaches for drawing causal inferences from epidemiological birth cohorts: A review
Richmond, R. C., Al-Amin, A., Smith, G. D., & Relton, C. L. (2014) · Early Human Development · doi:10.1016/j.earlhumdev.2014.08.023 · Cited by 134 · see citing works
Takeda, H., Izumi, Y., Takahashi, M., Paxton, T., Tamura, S., Koike, T., Yu, Y., Kato, N., Nagase, K., Shiomi, M., et al. (2018) · Journal of Lipid Research · doi:10.1194/jlr.d083014 · Cited by 135 · see citing works
Genetics of human metabolism: an update
Kastenmüller, G., Raffler, J., Gieger, C., & Suhre, K. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv263 · Cited by 128 · see citing works
Challenges and novel approaches for investigating molecular mediation
Richmond, R. C., Hemani, G., Tilling, K. M., Smith, G. D., & Relton, C. L. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw197 · Cited by 133 · see citing works
Shu, L., Zhao, Y., Kurt, Z., Byars, S., Tukiainen, T., Kettunen, J., Orozco, L. D., Pellegrini, M. A., Lusis, A. J., Ripatti, S., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-3198-9 · Cited by 129 · see citing works
Self-citationCichońska, A., Rousu, J., Marttinen, P., Kangas, A. J., Soininen, P., Lehtimäki, T. J., Raitakari, O. T., Järvelin, M., Salomaa, V. V., Ala‐Korpela, M., et al. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw052 · Cited by 129 · see citing works
Self-citationAho, V., Ollila, H. M., Kronholm, E., Bondia-Pons, I., Soininen, P., Kangas, A. J., Hilvo, M., Seppälä, I., Kettunen, J., Oikonen, M., et al. (2016) · Scientific Reports · doi:10.1038/srep24828 · Cited by 126 · see citing works
Self-citationHoffman, J. M., Soltow, Q. A., Li, S., Sidik, A., Jones, D. P., & Promislow, D. (2014) · Aging Cell · doi:10.1111/acel.12215 · Cited by 124 · see citing works
Kaikkonen, J., Würtz, P., Suomela, E., Lehtovirta, M., Kangas, A. J., Jula, A., Mikkilä, V., Viikari, J. S. A., Juonala, M., Rönnemaa, T., et al. (2016) · Hepatology · doi:10.1002/hep.28899 · Cited by 123 · see citing works
Self-citationPaththinige, C. S., Sirisena, N. D., & Dissanayake, V. H. W. (2017) · Lipids in Health and Disease · doi:10.1186/s12944-017-0488-4 · Cited by 123 · see citing works
A Genome-Wide Association Study of a Biomarker of Nicotine Metabolism
Loukola, A., Buchwald, J., Gupta, R., Palviainen, T., Hällfors, J., Tikkanen, E., Korhonen, T., Ollikainen, M., Sarin, A., Ripatti, S., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005498 · Cited by 121 · see citing works
Self-citationCholesterol Auxotrophy as a Targetable Vulnerability in Clear Cell Renal Cell Carcinoma
Riscal, R., Bull, C. J., Mesaros, C., Finan, J. M., Carens, M., Ho, E. S., Xu, J. P., Godfrey, J., Brennan, P., Johansson, M., et al. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0211 · Cited by 120 · see citing works
Pallister, T., Jennings, A., Mohney, R. P., Yarand, D., Mangino, M., Cassidy, A., MacGregor, A. J., Spector, T. D., & Menni, C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158568 · Cited by 117 · see citing works
Glucokinase regulatory protein: complexity at the crossroads of triglyceride and glucose metabolism
Raimondo, A., Rees, M. G., & Gloyn, A. L. (2015) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000155 · Cited by 118 · see citing works
Turi, K. N., Romick‐Rosendale, L. E., Ryckman, K. K., & Hartert, T. V. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.04.021 · Cited by 118 · see citing works
Effects of hormonal contraception on systemic metabolism: cross-sectional and longitudinal evidence
Wang, Q., Würtz, P., Auro, K., Morin-Papunen, L., Kangas, A. J., Soininen, P., Tiainen, M., Tynkkynen, T., Joensuu, A., Havulinna, A. S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw147 · Cited by 117 · see citing works
Self-citationClifford, S. A., Davies, S., & Wake, M. A. (2019) · BMJ Open · doi:10.1136/bmjopen-2017-020261 · Cited by 114 · see citing works
Metabolomics platforms for genome wide association studies—linking the genome to the metabolome
Adamski, J., & Suhre, K. (2012) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.10.003 · Cited by 113 · see citing works
Karisa, B., Thomson, J. M., Wang, Z., Li, C., Montanholi, Y. R., Miller, S. P., Moore, S. S., & Plastow, G. S. (2014) · Livestock Science · doi:10.1016/j.livsci.2014.03.002 · Cited by 110 · see citing works
Neuroinflammation and comorbidities are frequently ignored factors in CNS pathology
Popa‐Wagner, A., Sandu, R. E., Buga, A.-M., Uzoni, A., & Petcu, E. B. (2015) · Neural Regeneration Research · doi:10.4103/1673-5374.165208 · Cited by 111 · see citing works
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
Hagenbeek, F. A., Pool, R., van Dongen, J., Draisma, H. H. M., Hottenga, J., Willemsen, G. A. H. M., Abdellaoui, A., Fedko, I. O., den Braber, A., Visser, P. J., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13770-6 · Cited by 110 · see citing works
Metabolomic Consequences of Genetic Inhibition of PCSK9 Compared With Statin Treatment
Sliz, E., Kettunen, J., Holmes, M. V., Williams, C. O., Boachie, C., Wang, Q., Männikkö, M., Sebert, S., Walters, R., Lin, K., et al. (2018) · Circulation · doi:10.1161/circulationaha.118.034942 · Cited by 109 · see citing works
Self-citationWang, J., Stančáková, A., Soininen, P., Kangas, A. J., Paananen, J., Kuusisto, J., Ala‐Korpela, M., & Laakso, M. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2012.02562.x · Cited by 107 · see citing works
Self-citationPharmacometabonomics in Humans: A New Tool for Personalized Medicine
Everett, J. R. (2015) · Pharmacogenomics · doi:10.2217/pgs.15.20 · Cited by 106 · see citing works
Costea, I., Mack, D. R., Lemaître, R. N., Israel, D. M., Marcil, V., Ahmad, A., & Amre, D. K. (2014) · Gastroenterology · doi:10.1053/j.gastro.2013.12.034 · Cited by 106 · see citing works
Genome-wide association study of blast resistance in indica rice
Wang, C., Yang, Y., Yuan, X., Xu, Q. J., Feng, Y., Yu, H., Wang, Y., & Wei, X. (2014) · BMC Plant Biology · doi:10.1186/s12870-014-0311-6 · Cited by 106 · see citing works
Amerindian-specific regions under positive selection harbour new lipid variants in Latinos
Ko, A., Cantor, R. M., Weissglas‐Volkov, D., Nikkola, E., Reddy, P. M. V. L., Sinsheimer, J. S., Paşaniuc, B., Brown, R., Alvarez, M., Rodríguez, A., et al. (2014) · Nature Communications · doi:10.1038/ncomms4983 · Cited by 102 · see citing works
Self-citationMalmström, E., Kilsgård, O., Hauri, S., Smeds, E., Herwald, H., Malmström, L., & Malmström, J. A. (2016) · Nature Communications · doi:10.1038/ncomms10261 · Cited by 101 · see citing works
Genetic Determinants Influencing Human Serum Metabolome among African Americans
Yu, B., Zheng, Y., Alexander, D. C., Morrison, A. C., Coresh, J., & Boerwinkle, E. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004212 · Cited by 102 · see citing works
Raffler, J., Friedrich, N., Arnold, M., Kacprowski, T., Rueedi, R., Altmaier, E., Bergmann, S., Budde, K., Gieger, C., Homuth, G., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005487 · Cited by 101 · see citing works
- Authors
- Kettunen, J., Tukiainen, T., Sarin, A.-P., Ortega-Alonso, A., Tikkanen, E., Lyytikäinen, L.-P., Kangas, A. J., Soininen, P., Würtz, P., Silander, K., Dick, D. M., Rose, R. J., Savolainen, M. J., Viikari, J., Kähönen, M., Lehtimäki, T., Pietiläinen, K. H., Inouye, M., McCarthy, M. I., Jula, A., Eriksson, J., Raitakari, O. T., Salomaa, V., Kaprio, J., Järvelin, M.-R., Peltonen, L., Perola, M., Freimer, N. B., Ala-Korpela, M., Palotie, A., & Ripatti, S.
- Affiliations
- University of Helsinki (FI)
- Tampere University Hospital (FI)
- University of Oulu (FI)
- University of Eastern Finland (FI)
- Virginia Commonwealth University (US)
- University of Turku (FI)
- The University of Melbourne (AU)
- Centre for Human Genetics (GB)
- Finnish Institute for Health and Welfare (FI)
- Imperial College London (GB)
- University of California, Los Angeles (US)
- Broad Institute (US)
- Corresponding author
- Ripatti, Samuli
- ORCID
- Kettunen, Johannes
- Tukiainen, Taru
- Sarin, Antti-Pekka
- Tikkanen, Emmi
- Lyytikäinen, Leo-Pekka
- Kangas, Antti J
- Würtz, Peter
- Dick, Danielle M
- Rose, Richard J
- Savolainen, Markku J
- Viikari, Jorma
- Kähönen, Mika
- Lehtimäki, Terho
- Pietiläinen, Kirsi H
- Inouye, Michael
- McCarthy, Mark I
- Eriksson, Johan
- Raitakari, Olli T
- Salomaa, Veikko
- Kaprio, Jaakko
- Järvelin, Marjo-Riitta
- Peltonen, Leena
- Perola, Markus
- Palotie, Aarno
- Ripatti, Samuli
- Venue
- Nature Genetics
- Published
- 2012-01-29
- Volume
- 44
- Issue
- 3
- Pages
- 269-276
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC3605033
- OpenAlex
- W2169718193
- Cited by
- 553
- References
- 44
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 25 · 2023: 23 · 2022: 17 · 2021: 36 · 2020: 31 · 2019: 49 · 2018: 49 · 2017: 48 · 2016: 65 · 2015: 53 · 2014: 68 · 2013: 38 · 2012: 25
- FWCI
- 35.35
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- WOS
- Funders
- Wellcome Trust (089062/Z/09/Z, GR069224, 89061/Z/09/Z, 090532, 098051)
- Novo Nordisk Fonden (#NNF10OC1013354)
- National Institutes of Health (6r01hl087679-03, 5rl1mh083268-05)
- National Institute on Alcohol Abuse and Alcoholism (K02AA018755, AA12502, AA 15416, R01AA008315, R01AA012502, R01AA009203, R37AA012502, AA08315, R01AA015416)
- National Heart, Lung, and Blood Institute (5R01HL087679, R01 HL087679)
- National Institute of Mental Health (RL1-MH083268, 1RL1MH083268)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- serum metabolites, genetic loci, NMR metabolomics, heritability, twin pairs, cardiometabolic disease, genetic variants, Finnish population, metabolic phenotypes
- MeSH terms
- Amino Acids, Analysis of Variance, Finland, Genotype, Humans, Magnetic Resonance Spectroscopy, Phenotype, Polymorphism, Single Nucleotide, Inheritance Patterns, Quantitative Trait Loci, Serum, Lipid Metabolism, Genome-Wide Association Study, Metabolome
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