{"id":79010,"date":"2025-05-06T11:27:10","date_gmt":"2025-05-06T11:27:10","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/79010\/"},"modified":"2025-05-06T11:27:10","modified_gmt":"2025-05-06T11:27:10","slug":"exploring-the-genetic-intersection-between-obesity-associated-genetic-variants-and-insulin-sensitivity-indices","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/79010\/","title":{"rendered":"Exploring the genetic intersection between obesity-associated genetic variants and insulin sensitivity indices"},"content":{"rendered":"<p>Previous large-scale GWAS studies have independently identified numerous genetic variants associated with the obesity-related traits such as BMI and WHR<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 13\" title=\"Yengo, L. et al. Meta-analysis of genome-wide association studies for height and body mass index in &#x223C;700000 individuals of European ancestry. Hum. Mol. Genet. 27, 3641&#x2013;3649 (2018).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR13\" id=\"ref-link-section-d5552040e969\" target=\"_blank\" rel=\"noopener\">13<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 14\" title=\"Pulit, S. L. et al. Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. Hum. Mol. Genet. 28, 166&#x2013;174 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR14\" id=\"ref-link-section-d5552040e972\" target=\"_blank\" rel=\"noopener\">14<\/a> as well as IS indices<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Walford, G. A. et al. Genome-wide association study of the modified Stumvoll insulin sensitivity index identifies BCL2 and FAM19A2 as novel insulin sensitivity loci. Diabetes 65, 3200&#x2013;3211 (2016).\" href=\"#ref-CR15\" id=\"ref-link-section-d5552040e976\">15<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Chen, J. et al. The trans-ancestral genomic architecture of glycemic traits. Nat. Genet. 53, 840&#x2013;860 (2021).\" href=\"#ref-CR16\" id=\"ref-link-section-d5552040e976_1\">16<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 17\" title=\"Williamson, A. et al. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake. Nat. Genet. 55, 973&#x2013;983 (2023).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR17\" id=\"ref-link-section-d5552040e979\" target=\"_blank\" rel=\"noopener\">17<\/a>. In this study, we investigated the shared genetic factors between BMI\/WHR and fasting and OGTT based IS indices and examined the impact of BMI adjustment on these associations. Our analysis showed that after adjusting for BMI, the number of BMI-associated variants significantly linked to IS indices, indicating that many genetic associations between BMI and IS are mediated through adiposity. The BMI and WHR variants were generally associated with both increased and decreased IS, with effects varying across fasting and OGTT-based IS indices. Additionally, WHR-associated variants exhibited sex-specific effects, with a stronger influence observed in females, particularly with postprandial IS indices following BMI adjustment.<\/p>\n<p>Previous research has established that a high BMI polygenic risk score is a risk factor for T2D<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 18\" title=\"Khera, A. V. et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell 177, 587&#x2013;596e9 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR18\" id=\"ref-link-section-d5552040e986\" target=\"_blank\" rel=\"noopener\">18<\/a>, which is primarily mediated through onset of prediabetes and insulin resistance (IR)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 19\" title=\"Miao, Z. et al. The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance. PLOS Genet. 16, e1009018 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR19\" id=\"ref-link-section-d5552040e990\" target=\"_blank\" rel=\"noopener\">19<\/a>. Consistent with this, our study reveals a pattern where genetic variants linked to obesity-related traits tend to be associated with reduced IS in models unadjusted for BMI. Many IS-associated variants, including those in FTO, BDNF and other loci, showed significant associations prior to BMI adjustment. However, after adjustment, most associations were attenuated, except for variants in PPARG and NOL4, which retained their significance. This is in line with prior studies where genetic variants in the FTO locus lost their association with IS index (Stumvoll index) after BMI adjustment<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 20\" title=\"Do, R. et al. Genetic variants of FTO influence adiposity, insulin sensitivity, leptin levels, and resting metabolic rate in the Quebec family study. Diabetes 57, 1147&#x2013;1150 (2008).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR20\" id=\"ref-link-section-d5552040e1010\" target=\"_blank\" rel=\"noopener\">20<\/a>. These results support the hypothesis that genetic influences on IS, particularly postprandial IS, are largely mediated through BMI-dependent mechanisms, reinforcing the shared genetic predisposition between adiposity and glucose metabolism, as supported by studies showing a strong link between BMI and IR<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 21\" title=\"Kolb, H. Obese visceral fat tissue inflammation: from protective to detrimental? BMC Med. 20, 494 (2022).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR21\" id=\"ref-link-section-d5552040e1014\" target=\"_blank\" rel=\"noopener\">21<\/a>.<\/p>\n<p>Our results further highlight that fasting-based IS indices may have a stronger genetic component than postprandial IS indices. Associations that remained significant after BMI adjustment were primarily observed with fasting indices, suggesting that genetic factors may exert a more direct influence on fasting IS, whereas postprandial IS is more susceptible to environmental and BMI-mediated effects. This is consistent with previous study demonstrating that fasting IS has strong genetic component, while postprandial IS is more influenced by other non-genetic factors<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 9\" title=\"Suleman, S. et al. Genetic underpinnings of fasting and oral glucose-stimulated based insulin sensitivity indices. J. Clin. Endocrinol. Metab. dgae275 &#010;                  https:\/\/doi.org\/10.1210\/clinem\/dgae275&#010;                  &#010;                 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR9\" id=\"ref-link-section-d5552040e1021\" target=\"_blank\" rel=\"noopener\">9<\/a>. Notably, some variants became significantly associated with IS indices only after BMI adjustment, emphasizing the complexity of IS regulation. These findings suggest that different IS indices capture distinct physiological mechanisms, with fasting IS being more directly influenced by genetic predisposition, while postprandial IS is more intertwined with adiposity and fat distribution. Given the well-established link between higher BMI and increased IR due to greater adipose tissue accumulation, these results underscore the interplay between genetic susceptibility, body composition, and IS.<\/p>\n<p>The presence of IS-improving variants among BMI-associated loci confirms the existence of \u201cmetabolically healthy obesity\u201d genetic variants. Previous studies have shown that some genetic variants linked to increased adiposity confer favourable cardiometabolic profiles, implying a genetic basis for metabolically healthy obesity. These findings support the idea that certain individuals, due to their genetic makeup, can store fat in a way that minimizes ectopic lipid accumulation in vital organs, preserving metabolic health. This aligns with previous evidence that adiposity-promoting variants can also have protective effects on metabolism, highlighting the importance of understanding genetic heterogeneity within obesity-related traits<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 22\" title=\"Huang, L. O., Loos, R. J. F. &amp; Kilpel&#xE4;inen, T. O. Evidence of genetic predisposition for metabolically healthy obesity and metabolically obese normal weight. Physiol. Genomics. 50, 169&#x2013;178 (2018).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR22\" id=\"ref-link-section-d5552040e1028\" target=\"_blank\" rel=\"noopener\">22<\/a>.<\/p>\n<p>Interestingly, variants associated with both increased and decreased IS were linked to diverse metabolic consequences, challenging the assumption that all BMI- and WHR-associated variants generally contribute to metabolic dysfunction. For instance, PPARG, a key gene in lipid and glucose metabolism<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 23\" title=\"Kim, H. &amp; Ahn, Y. Role of peroxisome proliferator-activated receptor-&#x3B3; in the glucose-sensing apparatus of liver and &#x3B2;-cells. Diabetes 53, S60&#x2013;S65 (2004).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR23\" id=\"ref-link-section-d5552040e1039\" target=\"_blank\" rel=\"noopener\">23<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 24\" title=\"Francque, S. et al. Nonalcoholic steatohepatitis: the role of peroxisome proliferator-activated receptors. Nat. Rev. Gastroenterol. Hepatol. 18, 24&#x2013;39 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR24\" id=\"ref-link-section-d5552040e1042\" target=\"_blank\" rel=\"noopener\">24<\/a>, was positively associated with fasting-based IS and lower T2D risk, supporting its role in beneficial metabolic outcomes. Similarly, VPS13C variants exhibited protective effects on IS and were linked to decreased T2D and stroke risk. Conversely, variants in FTO, VPS13C, and GPR61 loci were associated with reduced IS and increased T2D risk, consistent with expected metabolic dysfunction. Interestingly, variants rs17238110 and rs12595158 within the same locus VPS13C, displayed opposite effects on IS as well as T2D, CAD and stroke, illustrating the complexity of genetic influences within the same genomic region.<\/p>\n<p>We also identified variants in AC022431.2 and BCL2L11 that were associated with decreased IS and an increased risk of T2D, CAD, and stroke, suggesting their potential role in glucose metabolism regulation. BCL2 has previously been linked to postprandial IS in BMI-adjusted models<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 15\" title=\"Walford, G. A. et al. Genome-wide association study of the modified Stumvoll insulin sensitivity index identifies BCL2 and FAM19A2 as novel insulin sensitivity loci. Diabetes 65, 3200&#x2013;3211 (2016).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR15\" id=\"ref-link-section-d5552040e1074\" target=\"_blank\" rel=\"noopener\">15<\/a>. While the precise mechanism by which BCL2L11 influences IS remains unclear, the BCL2 family of proteins is known to regulate apoptosis by controlling mitochondrial permeability<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 25\" title=\"Brenner, D. &amp; Mak, T. W. Mitochondrial cell death effectors. Curr. Opin. Cell. Biol. 21, 871&#x2013;877 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR25\" id=\"ref-link-section-d5552040e1085\" target=\"_blank\" rel=\"noopener\">25<\/a>. Similarly, AC022431.2, though not well-characterized, is highly expressed in adipose tissue, suggesting a possible role in metabolic function. Conversely, a variant in JAZF1, which was associated with increased IS, was linked to an elevated risk of T2D while showing no apparent effects on CAD or stroke. JAZF1 has previously been implicated in reduced insulin release and beta-cell dysfunction<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 26\" title=\"Grarup, N. et al. Association testing of novel type 2 diabetes risk alleles in the JAZF1, CDC123\/CAMK1D, TSPAN8, THADA, ADAMTS9, and NOTCH2 loci with insulin release, insulin sensitivity, and obesity in a population-based sample of 4,516 glucose-tolerant middle-aged Danes. Diabetes 57, 2534&#x2013;2540 (2008).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR26\" id=\"ref-link-section-d5552040e1098\" target=\"_blank\" rel=\"noopener\">26<\/a>. This paradoxical association of JAZF1 with both improved IS and higher T2D risk may be explained by a compensatory mechanism where reduced insulin release is offset by enhanced IS<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 27\" title=\"Ahr&#xE9;n, B. &amp; Thorsson, O. Increased insulin sensitivity is associated with reduced insulin and glucagon secretion and increased insulin clearance in man. J. Clin. Endocrinol. Metab. 88, 1264&#x2013;1270 (2003).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR27\" id=\"ref-link-section-d5552040e1106\" target=\"_blank\" rel=\"noopener\">27<\/a>, yet still contributes to increased T2D risk.<\/p>\n<p>A variant in THADA was associated with increased IS but displayed a distinct risk profile for cardiometabolic diseases. THADA has been implicated in energy homeostasis, thermogenesis, pancreatic beta-cell function, and T2D<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Moraru, A. et al. THADA regulates the organismal balance between energy storage and heat production. Dev. Cell. 41, 72&#x2013;81e6 (2017).\" href=\"#ref-CR28\" id=\"ref-link-section-d5552040e1119\">28<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Zhang, Y. et al. THADA Inhibition in mice protects against type 2 diabetes mellitus by improving pancreatic &#x3B2;-cell function and preserving &#x3B2;-cell mass. Nat. Commun. 14, 1020 (2023).\" href=\"#ref-CR29\" id=\"ref-link-section-d5552040e1119_1\">29<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Simonis-Bik, A. M. et al. Gene variants in the novel type 2 diabetes loci CDC123\/CAMK1D, THADA, ADAMTS9, BCL11A, and MTNR1B affect different aspects of pancreatic beta-cell function. Diabetes 59, 293&#x2013;301 (2010).\" href=\"#ref-CR30\" id=\"ref-link-section-d5552040e1119_2\">30<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 31\" title=\"Zeggini, E. et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat. Genet. 40, 638&#x2013;645 (2008).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR31\" id=\"ref-link-section-d5552040e1122\" target=\"_blank\" rel=\"noopener\">31<\/a>. Its dual role, enhancing IS while also increasing T2D risk, highlights its pleiotropic nature and diverse metabolic effects. The observed increase in IS could be explained by a compensatory mechanism, where improved insulin action offsets beta-cell dysfunction, potentially contributing to an increased risk of T2D. However, the inverse association with CAD remains unclear and warrants further investigation.<\/p>\n<p>This study has some limitations. The sample size, while robust, may limit the statistical power of association analyses, and our findings have not been validated in diverse populations. Although the homogeneity of our sample minimizes ethnic confounders, it also restricts the generalizability of our results. Furthermore, adjusting for BMI in genetic analyses introduces complexities, as BMI itself is influenced by genetic variants and impacts IS, leading to potential collider bias<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 32\" title=\"Sun, Y. V. et al. Identification and correction for collider bias in a genome-wide association study of diabetes-related heart failure. Am. J. Hum. Genet. 111, 1481&#x2013;1493 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41598-025-98507-w#ref-CR32\" id=\"ref-link-section-d5552040e1129\" target=\"_blank\" rel=\"noopener\">32<\/a>. This is particularly relevant for WHR-associated variants, given that they were identified in a BMI-adjusted framework in prior studies. While we acknowledge these potential biases, our results provide valuable insights into the genetic interplay between obesity and IS, warranting further validation and mechanistic exploration.<\/p>\n<p>In summary, our findings demonstrate that genetic predisposition to higher BMI significantly impacts IS, with distinct effects on fasting and postprandial IS indices. Most BMI-linked variants were associated with IS in unadjusted models, but these associations largely diminished after BMI adjustment, suggesting their effects are mediated through adiposity. Conversely, WHR-associated variants, particularly in females, showed significant associations with OGTT-based indices after BMI adjustment, underscoring sex-specific genetic influences on IS. Notably, our results consolidate the notion that not all obesity-associated variants negatively impact metabolic health; some confer protective effects on IS, reinforcing the concept of metabolically healthy obesity. This study provides insights into the intricate genetic relationships between obesity and IS, offering a deeper understanding of the mechanisms driving metabolic health and disease. Understanding these relationships is crucial for the development of targeted interventions aimed at improving metabolic health through personalized genetic insights.<\/p>\n","protected":false},"excerpt":{"rendered":"Previous large-scale GWAS studies have independently identified numerous genetic variants associated with the obesity-related traits such as BMI&hellip;\n","protected":false},"author":2,"featured_media":79011,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3846],"tags":[7434,38631,6442,12306,14951,267,3965,38632,3966,38633,70,16,15,38634],"class_list":{"0":"post-79010","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-genetics","8":"tag-body-mass-index","9":"tag-endocrine-system-and-metabolic-diseases","10":"tag-endocrinology","11":"tag-genetic-association-study","12":"tag-genetic-variants","13":"tag-genetics","14":"tag-humanities-and-social-sciences","15":"tag-insulin-sensitivity","16":"tag-multidisciplinary","17":"tag-obesity-genetics","18":"tag-science","19":"tag-uk","20":"tag-united-kingdom","21":"tag-waist-to-hip-ratio"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/114460652639344135","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/79010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=79010"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/79010\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/79011"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=79010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=79010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=79010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}