The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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 7,633
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
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
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
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
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
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
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
Disruption of IRS-2 causes type 2 diabetes in mice
Withers, D. J., Gutierrez, J. S., Towery, H. H., Burks, D. J., Ren, J., Previs, S. F., Zhang, Y., Bernal, D., Pons, S., Shulman, G. I., et al. (1998) · Nature · doi:10.1038/36116 · Cited by 1,775
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–244 of 244
Tulod, J. Z., Witman, N. D., Grond, K., Duddleston, K. N., & Kurtz, C. C. (2023) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00078.2023 · Cited by 1
Wang, J., Chen, J., Liu, Y., & Xu, J. (2025) · JMIR Medical Informatics · doi:10.2196/64992 · Cited by 1
Genetic and sex-specific regulation of mitochondrial function in gonadal and inguinal adipose tissue
Kamińska, D., Pan, C., Vergnes, L., Ro, A., Ulaganathan, G., & Lusis, A. J. (2025) · Molecular Metabolism · doi:10.1016/j.molmet.2025.102227 · Cited by 1
Self-citationKinetics of respiratory burst and its regulation in bone marrow granulocytes of diabetic db/db mice
Сафронова, В. Г., Dyukina, A. R., Tikhonova, I. V., & Grinevich, A. A. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.08.026 · Cited by 1
Miller, A. K., Bartlett, J., Pan, C., Lusis, A. J., Crawford, D. C., Williams, S. M., & Buchner, D. A. (2025) · Nature Communications · doi:10.1038/s41467-025-63763-x · Cited by 2
Self-citationSinha, A., Patra, D., Mishra, S., Vashisth, A., Sharma, S., Dey, U., Ramprasad, P., Roy, S., Kumar, A., Tikoo, K., et al. (2026) · Diabetes · doi:10.2337/db25-0259 · Cited by 1
Endothelial NPR-C promotes insulin resistance via Caveolin-1-mediated insulin transcytosis
Xu, Z.-Q., Yu, X., Wei, J., Deng, Q.-W., Zhai, W.-H., Rong, W., Li, M.-Y., Zhang, Q.-R., Gao, P., Li, X.-D., et al. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156686 · Cited by 1
Wang, T., Jiang, X., Ding, C., Huo, J., Ru, S., Zhang, X., Liu, Z., & Wu, X. (2026) · Journal of Chromatography B · doi:10.1016/j.jchromb.2026.125257 · Cited by 1
Assali, E. A., Taha, M., Salhab, A., Amer, J., Krishnan, K. C., Kostić, M., Veliova, M., Brownstein, A. J., Shirihai, O. S., Safadi, R., et al. (2026) · Molecular Metabolism · doi:10.1016/j.molmet.2026.102433 · Cited by 1
El‐Lakany, M. A., Wedn, A. M., & El‐Mas, M. M. (2024) · Oxidative stress in applied basic research and clinical practice · doi:10.1007/978-3-031-62131-4_9 · Cited by 1
Beta-cell specific insulin resistance promotes glucose-stimulated insulin hypersecretion [preprint]
Skovsø, S., Noh, H. L., Suk, S., Gablaski, B., Kim, J. K., & Johnson, J. D. (2020) · The Journal of the American Medical Association (JAMA) Network (American Medical Association) · Cited by 1
Batista, T. M., Vettorazzi, J. F., Santos-Silva, J. C., Camargo, R. L., Branco, R. C. S., junior, J. A. D. S., de Oliveira, K. M., Silva, P. M. R., Boschero, A. C., Ribeiro, R. A., et al. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-93337-1_26 · Cited by 1
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. (2022) · Yearbook of pediatric endocrinology · doi:10.1530/ey.19.15.17 · Cited by 1
Self-citationGenome-wide Association Study for Noise-induced Cochlear SynaptopathyPreprint
(2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/311407 · Cited by 1
Francis, D., Ghazanfar, S., Havula, E., Krycer, J. R., Senior, A. M., Minard, A. Y., Geddes, T. A., Weiss, F. C., Stöckli, J., Yang, J. Y. H., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/718304 · Cited by 1
Ferrara, P. J., Rong, X., Maschek, J. A., Verkerke, A. R. P., Siripoksup, P., Song, H., Krishnan, K. C., Johnson, J. M., TURK, J. W., Houmard, J. A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.23.887232 · Cited by 1
Self-citationChop / Ddit3 depletion in β-cells alleviates ER stress and corrects hepatic steatosisPreprint
Yong, J., Parekh, V. S., Nayak, J., Chen, Z., Lebeaupin, C., Zhang, J., Prakash, T. P., Murray, S., Guo, S., Ayala, J. E., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.02.893271 · Cited by 1
[Leukocyte count of puerperal sows].
Mäde, D., & Wujanz, G. (1996) · PubMed
Kokaji, T., Hatano, A., Ito, Y., Yugi, K., Eto, M., Ohno, S., Fujii, M., Hironaka, K., Egami, R., Inoue, H., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/653758
Transcriptional control of adipogenesis by PATZ1Preprint
Patel, S., Sparman, N. Z. R., Sadeh, S., Wang, J., Whitelegge, J. P., Fried, S. K., Waki, H., Villanueva, C. J., Seldin, M. M., Sakaguchi, S., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.24.493273
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) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.10.540142
Self-citationMasson, S. W. C., Madsen, S., Cooke, K. C., Potter, M., Díaz‐Vegas, A., Carroll, L., Thillainadesan, S., Walder, K. R., Cooney, G. J., Morahan, G., et al. (2023) · eLife · doi:10.7554/elife.86961.1
Masson, S. W. C., Søren, M., Cooke, K. C., et al. (2023) · eLife · doi:10.7554/elife.86961.1.sa1
Kurt, Z., Cheng, J. Y., McQuillen, C. N., Saleem, Z., Hsu, N., Jiang, N., Barrere‐Cain, R., Pan, C., Franzén, O., Koplev, S., et al. (2023) · eLife · doi:10.7554/elife.88266.1
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.88863.2
Self-citationThe genetic and dietary landscape of the muscle insulin signalling networkPreprint
van Gerwen, J., Masson, S. W. C., Cutler, H. B., Díaz‐Vegas, A., Potter, M., Stöckli, J., Madsen, S., Nelson, M. E., Humphrey, S. J., & James, D. E. (2024) · eLife · doi:10.7554/elife.89212.2
Effects of prenatal dexamethasone exposure on adult C57BL/6J mouse metabolism and oxidative stress
Nemec-Bakk, A. S., Bel, J., Niccoli, S., Boreham, D. R., Tai, T. C., Lees, S. J., & Khaper, N. (2024) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/cjpp-2023-0254
Jonuscheit, M., Uhlemeyer, C., Korzekwa, B., Schouwink, M., Öner‐Sieben, S., Ensenauer, R. E., Roden, M., Belgardt, B., & Schrauwen‐Hinderling, V. B. (2024) · NMR in Biomedicine · doi:10.1002/nbm.5140
Maake, T. W. (2022) · ResearchSpace (University of KwaZulu-Natal) · doi:10.29086/10413/22868
Isolating the Direct Effects of Growth Hormone on Lifespan and MetabolismPreprint
Lasher, A. T., Liu, K., Fitch, M. P., & Sun, L. Y. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.18.613718
Michorowska, S., Vogel, K. R., Jain, R., Clair, S. L. S., Simcox, J., & Parks, B. W. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.151059 · Cited by 2
Self-citationGuo, S.-H., Xu, J., Gong, Y.-Q., Hu, W., Li, C., & Lü, K. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1574238
ACAD10 encodes two orphan enzymes in the ether lipid biosynthetic and salvage pathwaysPreprint
Ye, J. S., Purlyte, E., López, V. A., Mill, J., Tatge, L., Kizzar, T., Baldwin, D. A., Rashan, E. H., Kim, J., Pagliarini, D. J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.10.675409
Azar, F. A., Vivoli, A., Machuca‐Parra, A. I., Paré, F., Civelek, M., Shou, W., & Lim, G. E. (2025) · Physiological Reports · doi:10.14814/phy2.70681
Rebeca, F.-R., Garcia-Alaman, A., Fontcuberta-PiSunyer, M., Perea-Atienzar, M., Angulo-Capel, J., Hadley, C. K., Lin, Z., Cohen, P., Vidal, J., & Gasa, R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.15.699691
Sexual dimorphism shapes renal metabolic adaptation to a ketogenic diet
Kelly, M. E., Hoffner, L. A., Ramirez, C. B., Anica, A. L., Kim, J., Tong, G., Kim, Y., Mannepalli, V., Choi, W., Jang, K.-H., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117190
Recazens, E. (2021) · theses.fr (ABES) · doi:10.70675/5b66fe82zcbbbz4251z98c0z2bb967f598c2
Le, T. H., McGee, T., Seshie, O., Bui, T., Giorgio, G., Beeson, A., Johnson, B. B., Ang, G., Polesskaya, O., palmer, A., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9695368/v1
Liu, M., Jiang, J., Wang, Z., Ma, X., Zeng, J., & Tang, J. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.158750
Metadata
- 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
- 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 ›
Are you an author, or do you see a problem with this page? Request a review