Genetic Architecture of Insulin Resistance in the Mouse
Open accessAbstract
Insulin resistance (IR) is a complex trait with multiple genetic and environmental components. Confounded by large differences between the sexes, environment, and disease pathology, the genetic basis of IR has been difficult to dissect. Here we examine IR and related traits in a diverse population of more than 100 unique male and female inbred mouse strains after feeding a diet rich in fat and refined carbohydrates. Our results show dramatic variation in IR among strains of mice and widespread differences between sexes that are dependent on genotype. We uncover more than 15 genome-wide significant loci and validate a gene, Agpat5, associated with IR. We also integrate plasma metabolite levels and global gene expression from liver and adipose tissue to identify metabolite quantitative trait loci (mQTL) and expression QTL (eQTL), respectively. Our results provide a resource for analysis of interactions between diet, sex, and genetic background in IR.
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Parks et al. identified pathways and genes contributing to diet-induced obesity and diabetes by examining global gene expression in multiple tissues and metabolites in plasma.
“By examining global gene expression in multiple tissues and metabolites in plasma, they were able to identify pathways and genes contributing to diet-induced obesity and diabetes.”
From Multi-omics approaches to disease (2017) · cites this paper as [32]
Parks and coworkers studied the effects of a high fat, high sucrose diet across about 100 different inbred strains of mice.
“For example, Parks and coworkers [31, 32] recently studied the effects of a high fat, high sucrose diet across about 100 different inbred strains of mice.”
From Multi-omics approaches to disease (2017) · cites this paper as [32]
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Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,628 · 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 3,487 · see citing works
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165 · see citing works
Metabolite 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
Self-citationA genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993 · see citing works
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.686 · Cited by 2,912 · see citing works
Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes
Grant, S. F. A., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Manolescu, A., Sainz, J., Helgason, A., Stefansson, H., Emilsson, V., Helgadottir, A., et al. (2006) · Nature Genetics · doi:10.1038/ng1732 · Cited by 2,287 · 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
Disruption of IRS-2 causes type 2 diabetes in mice
Withers, D., Gutiérrez, J., Towery, H., Burks, D., Ren, J.-M., Previs, S., Zhang, Y., Bernal, D., Pons, S., Shulman, G., et al. (1998) · Nature · doi:10.1038/36116 · Cited by 1,850 · see citing works
Sugar-Sweetened Beverages, Obesity, Type 2 Diabetes Mellitus, and Cardiovascular Disease Risk
Malik, V. S., Popkin, B. M., Bray, G. A., Després, J.-P., & Hu, F. B. (2010) · Circulation · doi:10.1161/circulationaha.109.876185 · Cited by 1,641 · see citing works
Mouse genomic variation and its effect on phenotypes and gene regulation.
Keane, T. M., Goodstadt, L., Danecek, P., White, M. A., Wong, K., Yalcin, B., Heger, A., Agam, A., Slater, G., Goodson, M., et al. (2011) · Nature · doi:10.1038/nature10413 · Cited by 1,580 · see citing works
FaST linear mixed models for genome-wide association studies
Lippert, C., Listgarten, J., Liu, Y., Kadie, C. M., Davidson, R. I., & Heckerman, D. (2011) · Nature Methods · doi:10.1038/nmeth.1681 · Cited by 1,209 · see citing works
Brown adipose tissue regulates glucose homeostasis and insulin sensitivity
Stanford, K. I., Middelbeek, R. J. W., Townsend, K. L., An, D., Nygaard, E. B., Hitchcox, K. M., Markan, K. R., Nakano, K., Hirshman, M. F., Tseng, Y.-H., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62308 · Cited by 1,180 · see citing works
Choi, H. K., Mount, D. B., & Reginato, A. M. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-7-200510040-00009 · Cited by 943 · see citing works
Gender differences in insulin resistance, body composition, and energy balance
Geer, E. B., & Shen, W. (2009) · Gender Medicine · doi:10.1016/j.genm.2009.02.002 · Cited by 913 · see citing works
Insulin resistance: a metabolic pathway to chronic liver disease
Bugianesi, E., McCullough, A. J., & Marchesini, G. (2005) · Hepatology · doi:10.1002/hep.20920 · Cited by 900 · see citing works
Variations in DNA elucidate molecular networks that cause disease
Chen, Y., Zhu, J., Lum, P. Y., Yang, X., Pinto, S., MacNeil, D. J., Zhang, C., Lamb, J., Edwards, S., Sieberts, S. K., et al. (2008) · Nature · doi:10.1038/nature06757 · Cited by 887 · see citing works
Self-citationScott, R. A., Lagou, V., Welch, R., Wheeler, E., Montasser, M. E., Luan, J., Mägi, R., Strawbridge, R. J., Rehnberg, E., Gustafsson, S., et al. (2012) · Nature Genetics · doi:10.1038/ng.2385 · Cited by 817 · see citing works
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Speliotes, E. K., Willer, C. J., Berndt, S. I., Monda, K. L., Þorleifsson, G., Jackson, A., Allen, H. L., Lindgren, C. M., Luan, J., Mägi, R., et al. (2010) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/d3bn-7g86 · Cited by 767 · see citing works
Insulin Sensitivity and Atherosclerosis
Howard, G., O’Leary, D. H., Zaccaro, D. J., Haffner, S. M., Rewers, M., Hamman, R. F., Selby, J. V., Saad, M. F., Savage, P. J., & Bergman, R. N. (1996) · Circulation · doi:10.1161/01.cir.93.10.1809 · Cited by 732 · see citing works
The link between abdominal obesity, metabolic syndrome and cardiovascular disease
Ritchie, S. A., & Connell, J. M. C. (2006) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2006.07.005 · Cited by 726 · see citing works
Roberts, L. D., Souza, A. L., Gerszten, R. E., & Clish, C. B. (2012) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb3002s98 · Cited by 714 · see citing works
Self-citationThe Origins and Drivers of Insulin Resistance
Johnson, A. M. F., & Olefsky, J. M. (2013) · Cell · doi:10.1016/j.cell.2013.01.041 · Cited by 639 · see citing works
Visceral Obesity in Men: Associations With Glucose Tolerance, Plasma Insulin, and Lipoprotein Levels
Pouliot, M., Després, J., Nadeau, A., Moorjani, S., Prud’homme, D., Lupien, P. J., Tremblay, A., & Bouchard, C. (1992) · Diabetes · doi:10.2337/diab.41.7.826 · Cited by 634 · see citing works
Systems 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
Self-citationMetabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans
Cheng, S. C., Rhee, E. P., Larson, M. G., Lewis, G. D., McCabe, E. L., Shen, D., Palma, M. J., Roberts, L. D., Dejam, A., Souza, A. L., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.067827 · Cited by 588 · see citing works
Self-citationParks, B. W., Nam, E., Org, E., Kostem, E., Norheim, F., Hui, S. T., Pan, C., Civelek, M., Rau, C. D., Bennett, B. J., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.007 · Cited by 544 · see citing works
Self-citationDavenport, J. R., Watts, A. J., Roper, V. C., Croyle, M. J., van Groen, T., Wyss, J. M., Nagy, T. R., Kesterson, R. A., & Yoder, B. K. (2007) · Current Biology · doi:10.1016/j.cub.2007.08.034 · Cited by 482 · see citing works
Hevener, A. L., Olefsky, J. M., Reichart, D., Nguyen, M. T. A., Bandyopadyhay, G., Leung, H.-Y., Watt, M. J., Benner, C., Febbraio, M. A., Nguyen, A.-K., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci31561 · Cited by 459 · see citing works
Self-citationSex and depot differences in adipocyte insulin sensitivity and glucose metabolism
Macotela, Y., Boucher, J., Tran, T. T., & Kahn, C. R. (2009) · Diabetes · doi:10.2337/db08-1054 · Cited by 401 · see citing works
DNAH5 Mutations are a Common Cause of Primary Ciliary Dyskinesia with Outer Dynein Arm Defects
Hornef, N., Olbrich, H., Horvath, J. E., Zariwala, M. A., Fliegauf, M., Loges, N. T., Wildhaber, J. H., Noone, P. G., Kennedy, M. P., Antonarakis, S. E., et al. (2006) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200601-084oc · Cited by 353 · see citing works
The Number of X Chromosomes Causes Sex Differences in Adiposity in Mice
Chen, X., McClusky, R., Chen, J., Beaven, S. W., Tontonoz, P., Arnold, A. P., & Reue, K. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002709 · Cited by 326 · see citing works
Self-citationA high-resolution association mapping panel for the dissection of complex traits in micePreprint
Bennett, B. J., Farber, C. R., Orozco, L. D., Kang, H. M., Ghazalpour, A., Siemers, N. O., Neubauer, M., Neuhaus, I., Yordanova, R., Guan, B., et al. (2010) · Genome Research · doi:10.1101/gr.099234.109 · Cited by 314 · see citing works
Self-citationAntidiabetic Effects of IGFBP2, a Leptin-Regulated Gene
Hedbacker, K., Birsoy, K., Wysocki, R. W., Asilmaz, E., Ahima, R. S., Farooqi, I. S., & Friedman, J. M. (2010) · Cell Metabolism · doi:10.1016/j.cmet.2009.11.007 · Cited by 280 · see citing works
Glucose Metabolism In Vivo in Four Commonly Used Inbred Mouse Strains
Berglund, E. D., Li, C. Y., Poffenberger, G., Ayala, J. E., Fueger, P. T., Willis, S. E., Jewell, M. M., Powers, A. C., & Wasserman, D. H. (2008) · Diabetes · doi:10.2337/db07-1615 · Cited by 265 · see citing works
Sexual differences in the control of energy homeostasis
Shi, H., Seeley, R. J., & Clegg, D. J. (2009) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2009.03.004 · Cited by 242 · cited 2× · see citing works
“believed to be responsible in part for the dramatic sex differences in IR (Shi et al., 2009).”
BackgroundPiatti, P., Monti, L. D., Valsecchi, G., Magni, F., Setola, E., Marchesi, F., Galli-Kienle, M., Pozza, G., & Alberti, K. G. M. M. (2001) · Diabetes Care · doi:10.2337/diacare.24.5.875 · Cited by 208 · see citing works
The effects of oestrogen and progesterone on insulin sensitivity in female rats
KUMAGAI, S., Holmäng, A. B., & Björntorp, P. A. (1993) · Acta Physiologica Scandinavica · doi:10.1111/j.1748-1716.1993.tb09596.x · Cited by 193 · see citing works
Decreased Susceptibility to Fatty Acid–Induced Peripheral Tissue Insulin Resistance in Women
Frias, J. P., Macaraeg, G. B., Ofrecio, J., Yu, J. G., Olefsky, J. M., & Kruszynska, Y. T. (2001) · Diabetes · doi:10.2337/diabetes.50.6.1344 · Cited by 162 · see citing works
Machleder, D., Ivandic, B., Welch, C. L., Castellani, L. W., Reue, K., & Lusis, A. J. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119300 · Cited by 129 · see citing works
Self-citationOrozco, L. D., Bennett, B. J., Farber, C. R., Ghazalpour, A., Pan, C., Che, N., Wen, P.-Z., Qi, H. X., Mutukulu, A., Siemers, N. O., et al. (2012) · Cell · doi:10.1016/j.cell.2012.08.043 · Cited by 129 · see citing works
Self-citationIdentification and characterization of new long chain Acyl-CoA dehydrogenases
He, M., Pei, Z., Mohsen, A.-W. A., Watkins, P. A., MURDOCH, G. H., Veldhoven, P. P. V., Ensenauer, R. E., & Vockley, J. E. (2010) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2010.12.005 · Cited by 124 · see citing works
Farber, C. R., Bennett, B. J., Orozco, L. D., Zou, W., Lira, A. K., Kostem, E., Kang, H. M., Furlotte, N. A., Berberyan, A., Ghazalpour, A., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002038 · Cited by 113 · see citing works
Self-citationMcLaughlin, T., Stuehlinger, M., Lamendola, C. A., Abbasi, F., Bialek, J., Reaven, G. M., & Tsao, P. S. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1441 · Cited by 101 · see citing works
Prasad, S. S., Garg, A., & Agarwal, A. K. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m007575 · Cited by 87 · see citing works
Sexually different actions of leptin in proopiomelanocortin neurons to regulate glucose homeostasis
Shi, H., Strader, A. D., Sorrell, J. E., Chambers, J. B., Woods, S. C., & Seeley, R. J. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00704.2007 · Cited by 85 · cited 1× · see citing works
“Targeted biochemical studies have even demonstrated that metabolic hormones, such as leptin, have distinct biological actions between males and females (Shi et al., 2008).”
BackgroundCatalano, K. J., Stefanovski, D., & Bergman, R. N. (2010) · Diabetes · doi:10.2337/db08-0675 · Cited by 84 · see citing works
Apolipoprotein AII Is a Regulator of Very Low Density Lipoprotein Metabolism and Insulin Resistance
Castellani, L. W., Nguyen, C., Charugundla, S., Weinstein, M. M., Doan, C. X., Blaner, W. S., Wongsiriroj, N., & Lusis, A. J. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m708995200 · Cited by 80 · see citing works
Self-citationElevated concentration of asymmetric dimethylarginine (ADMA) in individuals with metabolic syndrome
Palomo, I. F., Contreras, A., Alarcón, M. A., Elba Leiva, M., Guzmán, L., Mujica, V., Icaza, G., Díaz, N. S., González, D. R., & Moore‐Carrasco, R. (2011) · Nitric Oxide · doi:10.1016/j.niox.2011.03.002 · Cited by 61 · see citing works
Wagner, J. D., Thomas, M. J., Williams, J. K., Zhang, L., Greaves, K. A., & Cefalu, W. T. (1998) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.83.3.4628 · Cited by 56 · see citing works
Almind, K., Kulkarni, R., Lannon, S. M., & Kahn, C. R. (2003) · Diabetes · doi:10.2337/diabetes.52.6.1535 · Cited by 53 · see citing works
Wang, L., Shao, J., Muhlenkamp, P., Liu, S., Klepcyk, P. J., Ren, J., & Friedman, J. E. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m000764200 · Cited by 49 · see citing works
Wagner, J. D. (1998) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.83.3.896 · Cited by 41 · see citing works
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Multi-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
Self-citationTrends in insulin resistance: insights into mechanisms and therapeutic strategy
Li, M., Chi, X., Wang, Y., Setrerrahmane, S., Xie, W., & Xu, H. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01073-0 · Cited by 939 · see citing works
Animal models of obesity and diabetes mellitus
Kleinert, M., Clemmensen, C., Hofmann, S. M., Moore, M. C., Renner, S., Woods, S. C., Huypens, P., Beckers, J., de Angelis, M. H., Schürmann, A., et al. (2018) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.161 · Cited by 853 · see citing works
Sex differences and hormonal effects on gut microbiota composition in mice
Org, E., Mehrabian, M., Parks, B. W., Shipkova, P., Liu, X., Drake, T. A., & Lusis, A. J. (2016) · Gut Microbes · doi:10.1080/19490976.2016.1203502 · Cited by 796 · see citing works
Self-citationRole of Estrogens in the Regulation of Liver Lipid Metabolism
Palmisano, B. T., Zhu, L., & Stafford, J. M. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-70178-3_12 · Cited by 550 · see citing works
Sex differences in lipid and lipoprotein metabolism
Palmisano, B. T., Zhu, L., Eckel, R. H., & Stafford, J. M. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2018.05.008 · Cited by 535 · see citing works
Genetic and environmental control of host-gut microbiota interactions
Org, E., Parks, B. W., Joo, J. W. J., Emert, B., Schwartzman, W., Kang, E. Y., Mehrabian, M., Pan, C., Knight, R., Gunsalus, R., et al. (2015) · Genome Research · doi:10.1101/gr.194118.115 · Cited by 381 · see citing works
Self-citationContribution of Adipose Tissue Inflammation to the Development of Type 2 Diabetes Mellitus
Burhans, M. S., Hagman, D. K., Kuzma, J. N., Schmidt, K. A., & Kratz, M. (2018) · Comprehensive physiology · doi:10.1002/cphy.c170040 · Cited by 427 · see citing works
Sex Hormones and Sex Chromosomes Cause Sex Differences in the Development of Cardiovascular Diseases
Arnold, A. P., Cassis, L. A., Eghbali, M., Reue, K., & Sandberg, K. L. (2017) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.116.307301 · Cited by 339 · see citing works
The role of sex in the genomics of human complex traits
Khramtsova, E. A., Davis, L. K., & Stranger, B. E. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0083-1 · Cited by 303 · see citing works
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Link, J. C., & Reue, K. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064827 · Cited by 293 · see citing works
Ribas, V., Drew, B. G., Zhou, Z., Phun, J., Kalajian, N. Y., Soleymani, T., Daraei, P., Widjaja, K., Wanagat, J., de Aguiar Vallim, T. Q., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad3815 · Cited by 259 · see citing works
Self-citationDiet, genetics, and the gut microbiome drive dynamic changes in plasma metabolites
Fujisaka, S., Avila-Pacheco, J., Soto, M., Kostic, A., Dreyfuss, J. M., Pan, H., Ussar, S., Altindis, E., Li, N., Bry, L., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.060 · Cited by 231 · see citing works
“We and others have previously shown that different strains of mice and mice from different vendors exhibit different rates of obesity and diabetes when challenged with a high-fat diet (Parks et al., 2015; Ussar et al., 2016).”
BackgroundRajbhandari, P., Thomas, B. J., Feng, A., Hong, C., Wang, J., Vergnes, L., Sallam, T., Wang, B., Sandhu, J., Seldin, M. M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.11.019 · Cited by 190 · 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
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Lusis, A. J., Seldin, M. M., Allayee, H., Bennett, B. J., Civelek, M., Davis, R. C., Eskin, E., Farber, C. R., Hui, S., Mehrabian, M., et al. (2016) · Journal of Lipid Research · doi:10.1194/jlr.r066944 · Cited by 158 · see citing works
Self-citationPak, H. H., Haws, S. A., Green, C. L., Koller, M., Lavarias, M. T., Richardson, N. E., Yang, S. E., Dumas, S. N., Sonsalla, M., Bray, L., et al. (2021) · Nature Metabolism · doi:10.1038/s42255-021-00466-9 · Cited by 171 · see citing works
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Krishnan, K. C., Mehrabian, M., & Lusis, A. J. (2018) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000536 · Cited by 142 · see citing works
Self-citationBennett, B. J., Davis, R. C., Civelek, M., Orozco, L. D., Wu, J., Qi, H., Pan, C., Packard, R. R. S., Eskin, E., Yan, M., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005711 · Cited by 135 · see citing works
Self-citationAn integrative systems genetic analysis of mammalian lipid metabolism
Parker, B. L., Calkin, A. C., Seldin, M. M., Keating, M. F., Tarling, E. J., Yang, P., Moody, S. C., Liu, Y., Zerenturk, E. J., Needham, E. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0984-y · Cited by 127 · see citing works
Self-citationGreco, C. M., Koronowski, K. B., Smith, J. G., Shi, J., Kunderfranco, P., Carriero, R., Chen, S., Samad, M., Welz, P.-S., Zinna, V. M., et al. (2021) · Science Advances · doi:10.1126/sciadv.abi7828 · Cited by 124 · see citing works
Valentine, W. J., Yanagida, K., Kawana, H., Kono, N., Noda, N. N., Aoki, J., & Shindou, H. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.101470 · Cited by 125 · see citing works
Buscher, K., Ehinger, E., Gupta, P. P., Pramod, A. B., Wolf, D., Tweet, G., Pan, C., Mills, C. D., Lusis, A. J., & Ley, K. F. (2017) · Nature Communications · doi:10.1038/ncomms16041 · Cited by 120 · see citing works
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Link, J. C., Wiese, C. B., Chen, X., Avetisyan, R., Ronquillo, E., Ma, F., Guo, X., Yao, J., Allison, M., Chen, Y.-D. I., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci140223 · Cited by 121 · see citing works
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Cao, Y., Vergnes, L., Wang, Y.-C., Pan, C., Krishnan, K. C., Moore, T. M., Rosa‐Garrido, M., Kimball, T. H., Zhou, Z., Charugundla, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31544-5 · Cited by 115 · see citing works
Self-citationGene-by-Sex Interactions in Mitochondrial Functions and Cardio-Metabolic Traits
Norheim, F., Hasin-Brumshtein, Y., Vergnes, L., Krishnan, K. C., Pan, C., Seldin, M. M., Hui, S. T. Y., Mehrabian, M., Zhou, Z., Gupta, S., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2018.12.013 · Cited by 111 · see citing works
Self-citationZhou, Z., Moore, T. M., Drew, B. G., Ribas, V., Wanagat, J., Civelek, M., Segawa, M., Wolf, D. M., Norheim, F., Seldin, M. M., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aax8096 · Cited by 108 · see citing works
Self-citationMorrison, M. C., & Kleemann, R. (2015) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00308 · Cited by 105 · see citing works
The genetic architecture of NAFLD among inbred strains of mice
Hui, S. T. Y., Parks, B. W., Org, E., Norheim, F., Che, N., Pan, C., Castellani, L. W., Charugundla, S., Dirks, D. L., Psychogios, N., et al. (2015) · eLife · doi:10.7554/elife.05607 · Cited by 102 · see citing works
Self-citationAnti-Inflammatory Strategies Targeting Metaflammation in Type 2 Diabetes
Kuryłowicz, A., & Koźniewski, K. (2020) · Molecules · doi:10.3390/molecules25092224 · Cited by 101 · see citing works
Resveratrol ameliorates metabolic disorders and insulin resistance in high-fat diet-fed mice
Gong, L., Guo, S., & Zou, Z. (2019) · Life Sciences · doi:10.1016/j.lfs.2019.117212 · Cited by 96 · see citing works
Preguiça, I., Alves, A., Nunes, S., Fernandes, R., Gomes, P., Viana, S., & Reis, F. (2020) · Obesity Reviews · doi:10.1111/obr.13081 · Cited by 113 · see citing works
Geoghegan, G., Simcox, J., Seldin, M. M., Parnell, T. J., Stubben, C., Just, S. F., Begaye, L. J., Lusis, A. J., & Villanueva, C. J. (2019) · Molecular Metabolism · doi:10.1016/j.molmet.2019.03.003 · Cited by 90 · see citing works
Self-citationA Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism
Seldin, M. M., Koplev, S., Rajbhandari, P., Vergnes, L., Rosenberg, G. M., Meng, Y., Pan, C., Phuong, T. M. N., Gharakhanian, R., Che, N., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.015 · Cited by 84 · see citing works
Self-citationFgr kinase is required for proinflammatory macrophage activation during diet-induced obesity
Acín-Pérez, R., Iborra, S., Martí-Mateos, Y., Cook, E. C. L., Conde-Garrosa, R., Petcherski, A., Muñoz, M. D. M., Martínez de Mena, R., Krishnan, K. C., Jiménez, C., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-00273-8 · Cited by 83 · see citing works
Self-citationKurt, Z., Barrere‐Cain, R., LaGuardia, J. S., Mehrabian, M., Pan, C., Hui, S. T. Y., Norheim, F., Zhou, Z., Hasin-Brumshtein, Y., Lusis, A. J., et al. (2018) · Biology of Sex Differences · doi:10.1186/s13293-018-0205-7 · Cited by 82 · see citing works
Self-citationChop / Ddit3 depletion in β cells alleviates ER stress and corrects hepatic steatosis in mice
Yong, J., Parekh, V. S., Reilly, S. M., Nayak, J., Chen, Z., Lebeaupin, C., Jang, I., Zhang, J., Prakash, T. P., Sun, H., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.aba9796 · Cited by 79 · see citing works
Shu, L., Chan, K. H. K., Zhang, G., Huan, T., Kurt, Z., Zhao, Y., Codoni, V., Trégouët, D., Yang, J. J., Wilson, J. G., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007040 · Cited by 78 · see citing works
Self-citationMultitissue Multiomics Systems Biology to Dissect Complex Diseases
Yang, X. (2020) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.04.006 · Cited by 77 · see citing works
Ferrara, P. J., Rong, X., Maschek, J. A., Verkerke, A. R. P., Siripoksup, P., Song, H., Green, T. D., Krishnan, K. C., Johnson, J. M., TURK, J. W., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci135963 · Cited by 78 · see citing works
Self-citationChen, K.-H. E., Lainez, N. M., & Coss, D. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.2000490 · Cited by 73 · see citing works
Genetic Mechanisms Leading to Sex Differences Across Common Diseases and Anthropometric Traits
Traglia, M., Bseiso, D. N. F., Gusev, A., Adviento, B., Park, D., Mefford, J., Zaitlen, N., & Weiss, L. A. (2016) · Genetics · doi:10.1534/genetics.116.193623 · Cited by 70 · see citing works
The virtuous cycle of human genetics and mouse models in drug discovery
Nadeau, J. H., & Auwerx, J. H. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-018-0009-9 · Cited by 71 · see citing works
Genetic and hormonal control of hepatic steatosis in female and male mice
Norheim, F., Hui, S. T. Y., Külahçıoğlu, E., Mehrabian, M., Cantor, R. M., Pan, C., Parks, B. W., & Lusis, A. J. (2016) · Journal of Lipid Research · doi:10.1194/jlr.m071522 · Cited by 71 · see citing works
Self-citationMammalian models of diabetes mellitus, with a focus on type 2 diabetes mellitus
Lutz, T. A. (2023) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00818-3 · Cited by 68 · see citing works
Nelson, M. E., Madsen, S., Cooke, K. C., Fritzen, A. M., Thorius, I. H., Masson, S. W. C., Carroll, L., Weiss, F. C., Seldin, M. M., Potter, M., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2021.12.013 · Cited by 67 · see citing works
Contribution of Adipose Tissue Inflammation to the Development of Type 2 Diabetes Mellitus
Burhans, M. S., Hagman, D. K., Kuzma, J. N., Schmidt, K. A., & Kratz, M. (2019) · Comprehensive physiology · doi:10.1002/j.2040-4603.2019.tb00055.x · Cited by 65 · see citing works
Liver Pyruvate Kinase Promotes NAFLD/NASH in Both Mice and Humans in a Sex-Specific Manner
Krishnan, K. C., Floyd, R. R., Sabir, S., Jayasekera, D. W., León‐Mimila, P., Jones, A. E., Cortez, A. A., Shravah, V., Péterfy, M., Stiles, L., et al. (2020) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2020.09.004 · Cited by 62 · see citing works
Self-citationAdipocyte OGT governs diet-induced hyperphagia and obesity
Li, M., Vera, N. B., Yang, Y., Zhang, B., Ni, W., Ziso-Qejvanaj, E., Ding, S., Zhang, K., Yin, R., Wang, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07461-x · Cited by 62 · see citing works
Sex-specific genetic regulation of adipose mitochondria and metabolic syndrome by Ndufv2
Krishnan, K. C., Vergnes, L., Acín‐Pérez, R., Stiles, L., Shum, M., Ma, L., Mouisel, É., Pan, C., Moore, T. M., Péterfy, M., et al. (2021) · Nature Metabolism · doi:10.1038/s42255-021-00481-w · Cited by 59 · see citing works
Self-citationSex-specific metabolic functions of adipose Lipocalin-2
Krishnan, K. C., Sabir, S., Shum, M., Meng, Y., Acín‐Pérez, R., Lang, J. M., Floyd, R. R., Vergnes, L., Seldin, M. M., Fuqua, B. K., et al. (2019) · Molecular Metabolism · doi:10.1016/j.molmet.2019.09.009 · Cited by 59 · see citing works
Self-citationSystems genetics applications in metabolism research
Seldin, M. M., Yang, X., & Lusis, A. J. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0132-x · Cited by 56 · see citing works
Self-citationSex as a Biological Variable in Nutrition Research: From Human Studies to Animal Models
Chen, Y., Kim, M., Paye, S. M., & Benayoun, B. A. (2022) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-062220-105852 · Cited by 56 · see citing works
Yang, J., Guo, Y., Henning, S. M., Chan, B. C., Long, J., Zhong, J., Acín‐Pérez, R., Petcherski, A., Shirihai, O. S., Heber, D., et al. (2020) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202000091 · Cited by 53 · see citing works
Toit, E. D., Browne, L., Irving‐Rodgers, H. F., Massa, H. M., Fozzard, N., Jennings, M. P., & Peak, I. R. A. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1456-5 · Cited by 50 · see citing works
Mann, S. N., Hadad, N., Holte, M. N., Rothman, A. R., Sathiaseelan, R., Mondal, S. A., Agbaga, M., Unnikrishnan, A., Subramaniam, M., Hawse, J. R., et al. (2020) · eLife · doi:10.7554/elife.59616 · Cited by 50 · see citing works
Ogata, S., Ito, S., Masuda, T., & Ohtsuki, S. (2019) · Pharmaceutical Research · doi:10.1007/s11095-019-2674-8 · Cited by 50 · see citing works
Stagg, D. B., Gillingham, J. R., Nelson, A. B., Lengfeld, J. E., d’Avignon, D. A., Puchalska, P., & Crawford, P. A. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101269 · Cited by 48 · see citing works
Skovsø, S., Panzhinskiy, E., Kolic, J., Cen, H. H., Dionne, D. A., Dai, X.-Q., Sharma, R. B., Elghazi, L., Ellis, C. E., Faulkner, K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28039-8 · Cited by 47 · see citing works
Dervisevic, M., Esser, L., Chen, Y., Alba, M., Prieto‐Simón, B., & Voelcker, N. H. (2024) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2024.116995 · Cited by 45 · see citing works
Regulator of Calcineurin 1 helps coordinate whole‐body metabolism and thermogenesis
Rotter, D., Peiris, H. S., Grinsfelder, D. B., Martin, A. M., Burchfield, J. S., Parra, V., Hull, C., Morales, C. R., Jessup, C. F., Matusica, D., et al. (2018) · EMBO Reports · doi:10.15252/embr.201744706 · Cited by 46 · see citing works
Self-citationLi, Z., Votava, J. A., Zajac, G. J. M., Nguyen, J. N., Jaimes, F. L., Ly, S. M., Brinkman, J. A., Giorgi, M. D., Kaul, S., Green, C. L., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.02.015 · Cited by 47 · see citing works
Self-citationZhu, B., Lei, L., Sun, Y., Shi, X., Fu, K., Hua, J., Martyniuk, C. J., Han, J. Z., Yang, L., & Zhou, B. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c02712 · Cited by 46 · see citing works
High-Density Genotypes of Inbred Mouse Strains: Improved Power and Precision of Association Mapping
Rau, C. D., Parks, B. W., Wang, Y., Eskin, E., Šimeček, P., Churchill, G. A., & Lusis, A. J. (2015) · G3 Genes Genomes Genetics · doi:10.1534/g3.115.020784 · Cited by 45 · see citing works
Self-citationImpacts of high fat diet on ocular outcomes in rodent models of visual disease
Clarkson-Townsend, D. A., Douglass, A., Singh, A., Allen, R. S., Uwaifo, I. N., & Pardue, M. T. (2021) · Experimental Eye Research · doi:10.1016/j.exer.2021.108440 · Cited by 46 · see citing works
miR-146a regulates insulin sensitivity via NPR3
Roos, J., Dahlhaus, M., Funcke, J., Kustermann, M., Strauß, G., Halbgebauer, D., Boldrin, E., Holzmann, K., Möller, P., Trojanowski, B. M., et al. (2020) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-020-03699-1 · Cited by 44 · see citing works
Abnormal food timing and predisposition to weight gain: Role of barrier dysfunction and microbiota
Bishehsari, F., Engen, P. A., Adnan, D., Sarrafi, S., Wilber, S., Shaikh, M. W., Green, S. J., Naqib, A. D., Giron, L. B., Abdel‐Mohsen, M., et al. (2020) · Translational research · doi:10.1016/j.trsl.2020.11.007 · Cited by 43 · see citing works
Estrogen Mediates an Atherosclerotic-Protective Action via Estrogen Receptor Alpha/SREBP-1 Signaling
Xie, F., Li, X., Xu, Y., Cheng, D., Xia, X., Lv, X., Yuan, G., & Peng, C. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.895916 · Cited by 43 · see citing works
Wu, C., Shields, J. N., Akemann, C., Meyer, D. N., Connell, M. L., Baker, B. B., Pitts, D. K., & Baker, T. R. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.143736 · Cited by 42 · see citing works
Metabolomic analysis of insulin resistance across different mouse strains and diets
Stöckli, J., Fisher‐Wellman, K. H., Chaudhuri, R., Zeng, X., Fazakerley, D. J., Meoli, C. C., Thomas, K. C., Hoffman, N. J., Mangiafico, S. P., Xirouchaki, C. E., et al. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m117.818351 · Cited by 39 · see citing works
PGC‐1a integrates a metabolism and growth network linked to caloric restriction
Miller, K. N., Clark, J. P., Martin, S. A., Howell, P. R., Burhans, M. S., Haws, S. A., Johnson, N. B., Rhoads, T. W., Pavelec, D. M., Eliceiri, K. W., et al. (2019) · Aging Cell · doi:10.1111/acel.12999 · Cited by 38 · see citing works
Self-citationSafari, Z., Bruneau, A., Monnoye, M., Mariadassou, M., Philippe, C., Zatloukal, K., & Gérard, P. (2020) · Nutrients · doi:10.3390/nu12020287 · Cited by 26 · see citing works
Systems Genomics Identifies a Key Role for Hypocretin/Orexin Receptor-2 in Human Heart Failure
Perez, M. V., Pavlović, A., Shang, C., Wheeler, M. T., Miller, C. L., Liu, J., Dewey, F. E., Pan, S., Thanaporn, P., Absher, D., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.09.061 · Cited by 36 · see citing works
Egami, R., Kokaji, T., Hatano, A., Yugi, K., Eto, M., Morita, K., Ohno, S., Fujii, M., Hironaka, K., Uematsu, S., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102217 · Cited by 36 · see citing works
Kambale, E. K., Katemo, F. M., Quetin‐Leclercq, J., Memvanga, P. B., & Beloqui, A. (2023) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2023.122715 · Cited by 34 · see citing works
The phospholipase A2 family’s role in metabolic diseases: Focus on skeletal muscle
Cervera, I. P., Gabriel, B., Aldiss, P., & Morton, N. (2021) · Physiological Reports · doi:10.14814/phy2.14662 · Cited by 29 · see citing works
Chromatin Modifications Associated With Diabetes and Obesity
Schones, D. E., Leung, A., & Natarajan, R. D. (2015) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.115.305041 · Cited by 32 · see citing works
How mice are indispensable for understanding obesity and diabetes genetics
Attie, A., Churchill, G. A., & Nadeau, J. H. (2017) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000321 · Cited by 32 · see citing works
Norheim, F., Bjellaas, T., Hui, S. T. Y., Krishnan, K. C., Lee, J. J., Gupta, S., Pan, C., Hasin-Brumshtein, Y., Parks, B. W., Li, D., et al. (2018) · Journal of Lipid Research · doi:10.1194/jlr.m081398 · Cited by 32 · see citing works
Self-citationEcheverría, F., Patino, P. A. J., Castro‐Sepúlveda, M., Bustamante, A., Concha, P. A. G., Poblete-Aro, C., Valenzuela, R., & García‐Díaz, D. F. (2020) · British Journal Of Nutrition · doi:10.1017/s000711452000481x · Cited by 31 · see citing works
Genetic regulation of liver lipids in a mouse model of insulin resistance and hepatic steatosis
Norheim, F., Krishnan, K. C., Bjellaas, T., Vergnes, L., Pan, C., Parks, B. W., Meng, Y., Lang, J., Ward, J. A., Reue, K., et al. (2021) · Molecular Systems Biology · doi:10.15252/msb.20209684 · Cited by 32 · see citing works
Self-citationNutritional systems biology of type 2 diabetes
Zhao, Y., Barrere‐Cain, R., & Yang, X. (2015) · Genes & Nutrition · doi:10.1007/s12263-015-0481-3 · Cited by 31 · see citing works
Humanity in a Dish: iPSC Cohort Studies
Warren, C. R., & Cowan, C. (2017) · Trends in Cell Biology · doi:10.1016/j.tcb.2017.09.006 · Cited by 30 · see citing works
Genetic control of the mouse HDL proteome defines HDL traits, function, and heterogeneity
Pamir, N., Pan, C., Plubell, D. L., Hutchins, P. M., Tang, C., Wimberger, J., Irwin, A. D., Vallim, T. Q. D. A., Heinecke, J. W., & Lusis, A. J. (2019) · Journal of Lipid Research · doi:10.1194/jlr.m090555 · Cited by 29 · see citing works
Self-citationThermogenic profiling using magnetic resonance imaging of dermal and other adipose tissues
Kasza, I., Hernando, D., Roldán‐Alzate, A., Alexander, C. M., & Reeder, S. B. (2016) · JCI Insight · doi:10.1172/jci.insight.87146 · Cited by 28 · see citing works
Kazemi, M., Kim, J. Y., Wan, C., Xiong, J. D., Parry, S. A., Azziz, R., & Lujan, M. E. (2021) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.07.032 · Cited by 27 · see citing works
Yin, Y., Li, D., Liu, F., Wang, X., Cui, Y., Li, S., & Li, X. (2022) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c01461 · Cited by 27 · see citing works
Noggin depletion in adipocytes promotes obesity in mice
Blázquez‐Medela, A. M., Jumabay, M., Rajbhandari, P., Sallam, T., Guo, Y., Yao, J., Vergnes, L., Reue, K., Zhang, L., Yao, Y., et al. (2019) · Molecular Metabolism · doi:10.1016/j.molmet.2019.04.004 · Cited by 26 · see citing works
Self-citationConserved multi-tissue transcriptomic adaptations to exercise training in humans and mice
Moore, T. M., Lee-Ødegård, S., Olsén, T., Morselli, M., Strumwasser, A. R., Lin, A. J., Zhou, Z., Abrishami, A. D., Garcia, S. M., Bribiesca, J., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112499 · Cited by 27 · see citing works
Self-citationThe E3 ligase MARCH5 is a PPARγ target gene that regulates mitochondria and metabolism in adipocytes
Bond, S. T., Moody, S. C., Liu, Y., Civelek, M., Villanueva, C. J., Gregorevic, P., Kingwell, B. A., Hevener, A. L., Lusis, A. J., Henstridge, D. C., et al. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00394.2018 · Cited by 26 · see citing works
Self-citationPatra, D., Ramprasad, P., Sharma, S., Dey, U., Kumar, V., Singh, S., Dasgupta, S., Kumar, A. A., Tikoo, K., & Pal, D. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107328 · Cited by 24 · see citing works
A PPARγ/long noncoding RNA axis regulates adipose thermoneutral remodeling in mice
Zhang, Z., Cui, Y., Su, V., Wang, D., Tol, M. J. P. M., Cheng, L., Wu, X., Kim, J., Rajbhandari, P., Zhang, S., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci170072 · Cited by 24 · see citing works
Self-citationYang, C.-H., Mangiafico, S. P., Waibel, M., Loudovaris, T., Loh, K., Thomas, H. E., Morahan, G., & Andrikopoulos, S. (2020) · Diabetologia · doi:10.1007/s00125-020-05137-0 · Cited by 23 · see citing works
Role of gut microbe-derived metabolites in cardiometabolic diseases: Systems based approach
Cao, Y., Aquino-Martínez, R., Hutchison, E. R., Allayee, H., Lusis, A. J., & Rey, F. E. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101557 · Cited by 23 · see citing works
Self-citationAflatounian, A., Paris, V. R., Richani, D., Edwards, M. C., Cochran, B. J., Ledger, W. L., Gilchrist, R. B., Bertoldo, M. J., Wu, L. E., & Walters, K. A. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101583 · Cited by 23 · see citing works
Metabolic responses to intermittent hypoxia are regulated by sex and estradiol in mice
Marcouiller, F., Jochmans‐Lemoine, A., Ganouna‐Cohen, G., Mouchiroud, M., Laplante, M., Marette, A., Bairam, A., & Joseph, V. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00272.2020 · Cited by 23 · see citing works
Buckley, T. N., Omotola, O. B., Archer, L. A., Rostron, C. R., Kamineni, E. P., Llanora, J., Chalfant, J. M., Lei, F., Slade, E., & Pendergast, J. S. (2021) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00150.2020 · Cited by 21 · see citing works
Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function
Molendijk, J., Blazev, R., Mills, R. J., Ng, Y., Watt, K. I., Chau, D., Gregorevic, P., Crouch, P. J., Hilton, J. B. W., Lisowski, L., et al. (2022) · eLife · doi:10.7554/elife.82951 · Cited by 18 · see citing works
Self-citationZhou, M., Tamburini, I. J., Van, C., Molendijk, J., Nguyen, C. M., Chang, I. Y.-Y., Johnson, C., Vélez, L. M., Cheon, Y., Yeo, R. X., et al. (2023) · eLife · doi:10.7554/elife.88863 · Cited by 22 · see citing works
Self-citation
- Authors
- Parks, B. W., Sallam, T., Mehrabian, M., Psychogios, N., Hui, S. T., Norheim, F., Castellani, L. W., Rau, C. D., Pan, C., Phun, J., Zhou, Z., Yang, W.-P., Neuhaus, I., Gargalovic, P. S., Kirchgessner, T. G., Graham, M., Lee, R., Tontonoz, P., Gerszten, R. E., Hevener, A. L., & Lusis, A. J.
- Affiliations
- University of California, Los Angeles (US)
- University of Oslo (NO)
- Bristol-Myers Squibb (United States) (US)
- Ionis Pharmaceuticals (United States) (US)
- Howard Hughes Medical Institute (US)
- Harvard University (US)
- Corresponding author
- Parks, Brian W.
- Lusis, Aldons J.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 21
- Issue
- 2
- Pages
- 334-347
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC4349439
- OpenAlex
- W2000653200
- Cited by
- 249
- References
- 53
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 26 · 2023: 36 · 2022: 25 · 2021: 22 · 2020: 31 · 2019: 26 · 2018: 19 · 2017: 16 · 2016: 9 · 2015: 8 · 2013: 1
- FWCI
- 11.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (K99HL123021, P01HL090553, HL28481, R01HL081572, R00HL123021, T32HL069766, P01HL028481)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK089109, P30DK041301, P30DK063491, R01DK081572)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007228)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- insulin resistance, genetic architecture, inbred mouse strains, sex differences, metabolite quantitative trait loci, expression quantitative trait loci, hepatic gene expression, adipose tissue gene expression, high-fat high-carbohydrate diet, genetic background
- MeSH terms
- Animals, Dietary Carbohydrates, Female, Genotype, Insulin Resistance, Male, Mice, Inbred C3H, Mice, Inbred C57BL, Mice, Inbred DBA, Genetic Variation, 1-Acylglycerol-3-Phosphate O-Acyltransferase, Mice, Diet, High-Fat
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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