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A common genetic variant is associated with adult and childhood obesity.
Abstract
Obesity is a heritable trait and a risk factor for many common diseases such as type 2 diabetes, heart disease, and hypertension. We used a dense whole-genome scan of DNA samples from the Framingham Heart Study participants to identify a common genetic variant near the INSIG2 gene associated with obesity. We have replicated the finding in four separate samples composed of individuals of Western European ancestry, African Americans, and children. The obesity-predisposing genotype is present in 10% of individuals. Our study suggests that common genetic polymorphisms are important determinants of obesity.
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“To limit the conundrum of multiple testing, we used a more stringent criteria for SNP selection in the second sample[39]. Subjects were genotyped solely for the three SNPs found to be significant in both the SVO and Dictator in the first sample (rs2268490, rs237887 and rs1042778).”
From The oxytocin receptor (OXTR) contributes to prosocial fund allocations in the dictator game and the social value orientations task (2009) · cites this paper as [39]
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“…variants near insulin-induced gene 2 (INSIG2) associated with obesity in the Framingham Heart Study with replication in adults and children (Herbert et al. 2006) and the link between the fat mass and obesity associate gene (FTO) and obesity (Dina et al. 2007; Frayling et al. 2007; Scott et…”
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“…and A2M18i). heritability as opposed to phenotypic variance has been developed in the context of family-based genetic association tests [Lange et al., 2004], and has been successfully applied to a family-based genome-wide association study investigating body mass index [Herbert et al., 2006].”
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“This strategy was successfully applied in Herbert et al. [2006] for identifying a common genetic variant associated with obesity.”
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Deleş, B. (2019) · Hacettepe Üniversitesi Sağlık Bilimleri Fakültesi Dergisi · doi:10.21020/husbfd.483107 · Cited by 17
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BackgroundPlanning a genome-wide association study: Points to consider
Hakonarson, H. H., & Grant, S. F. A. (2011) · Annals of Medicine · doi:10.3109/07853890.2011.573803 · Cited by 14
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“For example, in a replication study described in Herbert et al. (2006), Polish and American samples were combined and a previously associated SNPwas genotyped in both the upper and lower extremes of BMI.”
ResultGenetics of complex respiratory diseases: implications for pathophysiology and pharmacology studies
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“It has been found that maternal obesity is the most significant predictor of obesity during childhood[12].”
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“Furthermore, our data clearly showed that association was even stronger when obesity was found in both, rather than in only one parent, which agrees with other studies (Davison and Birch, 2001; Herbert et al., 2006).”
ResultJiang, X., Cai, B., Xue, D., Lu, X., Cooper, G. F., & Neapolitan, R. E. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002358 · Cited by 13
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“A genomewide association study revealed the PCSK1 gene was associated with human obesity (Herbert et al., 2006) and mutations in this gene could cause severe monogenic obesity in humans (Jackson et al., 1997; Kilpeläinen et al., 2009; Chang et al., 2010), because the abnormal PC1/3 hinders…”
BackgroundBody size reference norms and subjective weight status: A gender and life course approach
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“snP selection and genetic analyses The SNP rs7566605 located near the INSIG2 gene (Figure 1) was selected due to its association with obesity in several studies (5,6).”
BackgroundResultInfluentialPrakash, J., Mittal, B., Srivastava, A. N., Awasthi, S., Srivastava, P., & Srivastava, N. (2017) · Iranian Biomedical Journal · doi:10.18869/acadpub.ibj.21.4.261 · Cited by 13
“An association between rs7566605 and obesity has also been reported in different ethnic groups [9,11-13] , though these associations have not supported by some studies [14-16] .”
BackgroundResultInfluentialPotential association of INSIG2 rs7566605 polymorphism with body weight in a Chinese subpopulation
Yang, L., Wu, Y., Li, H., Yu, Z., Li, X., Liu, Y., Xu, L., & Chen, Y. (2008) · European Journal of Human Genetics · doi:10.1038/ejhg.2008.8 · Cited by 13
Valid Comparisons of Antifibrinolytic Agents Used in Cardiac Surgery
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“体的研究样本中对所发现的关联进行重复 ([2])。尽管 所发现的多态没有在所有的研究中得到重复, 该研 究的设计, 即综合应用了 TDT 分析、两阶段研究设 计、多个大样本进行重复研究多种优势于一身, 发”
BackgroundIntroduction to Genetics and Childhood Obesity: Relevance to Nursing Practice
Seal, N. (2010) · Biological Research For Nursing · doi:10.1177/1099800410381424 · Cited by 13
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“E-mail: richard.neapolitan@northwestern.edu 150 risk loci associated with 60 common diseases and traits [Herbert et al., 2006; Lambert, 2009; Manolio and Collins, 2009; Spinola et al., 2001].”
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“To our knowledge, only two GWAS reported obesity phenotype associations separately by gender.”
BackgroundInfluentialAssociation of INSIG2 rs9308762 With ALT Level Independent of BMI
Guan, L., Shang, X., Liu, F., Song, J., Ma, J., & Wang, H. (2013) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e3182a87b71 · Cited by 12
“Herbert et al (19) reported that a common variant (rs7566605) located 10 kb upstream of insulin-induced gene 2 (INSIG2) was associated with obesity.”
BackgroundAn algorithm for direct causal learning of influences on patient outcomes
Rathnam, C., Lee, S., & Jiang, X. (2016) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2016.10.003 · Cited by 12
“By looking at single-locus associations, researchers have identified over 150 risk loci associated with 60 common diseases and traits [2-4].”
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“The INSIG2 (insulin-induced gene 2) gene has previously been shown to be associated with obesity in some but not all studies (40,41) and is ~1 cM upstream from our chromosome 2 region.”
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“INSIG1 is a close homolog of INSIG2 (11), which was recently proposed to be associated with a risk of obesity (12, 13).”
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Human genetic variation of medical significance
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The INSIG2 rs7566605 polymorphism is not associated with body mass index and breast cancer risk
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“Background Herbert and coworkers [1] conducted a genome-wide association study (GWAS) on 694 subjects of the Framingham Heart Study with a family-based design to identify genetic loci (single nucleotide polymorphisms, SNPs) contributing to obesity using body mass index (BMI) as the primary phenotype.”
BackgroundInfluentialZhang, X., Pan, F., Xie, Y., Zou, F., & Wang, W. W. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02008-7_19 · Cited by 11
Association of maternally inheritedGNASalleles with African–American male birth weight
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Introducing Evolutionary Thinking For Medicine
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“Among them 2 polymorphisms were found in the vicinity of the FTO (fat mass and obesity associated) and INSIG2 (insulin-induced gene 2) genes [Herbert et al., 2006; Frayling et al., 2007].”
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“The Affymetrix GeneChip Mapping 50k_XBA240 array data for the Korean HapMap project (Korean HapMap 50 k) were generated according to manufacturer's instructions, as reported elsewhere (Herbert et al., 2006).”
MethodAssociation between the ROBO1 gene and body mass index in patients using antipsychotics
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“In a recent reanalysis of a scan of 86 604 single nucleotide polymorphisms (SNPs) among 1322 individuals in the Framingham Heart study offspring cohort [for the original analysis, see Herbert et al. (2006)] Lasky-Su et al.”
BackgroundShared ancestral susceptibility to colorectal cancer and other nutrition related diseases
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“280 AG D T2D GPR45 ~20kb down [17] Chr 11 gap rs9300039 11p12.”
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Self-citationAn INSIG2 Polymorphism Affects Glucose Homeostasis in Sardinian Obese Children and Adolescents
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“An association of a single nucleotide polymorphism (SNP), rs7566605, with BMI has been described by some authors, but not confirmed by others (Herbert et al., 2006; Lyon et al., 2007; Andreasen et al., 2008; Hotta et al., 2008; Zhang et al., 2008; Bressler et al., 2009; Heid et al., 2009;…”
BackgroundA New Formulation for Latent Class ModelsPreprint
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“Since then, it has been applied to research on human diseases such as coronary heart disease [48], obesity [49] and type 2 diabetes [50].”
BackgroundLittleton, S. H., & Grant, S. F. A. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12968 · Cited by 8
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“In this study, we aim to explore the genetic and environmental factors on BMI and WC in a Chinese sample of twins aged 8–17 years.”
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Pharmacogenetics of the Response to β2 Agonist Drugs: A Systematic Overview of the Field
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“A protective effect of the H-allele was also described for diabetes type 2, impaired glucose tolerance, fasting and postprandial insulin levels, and HOMA indices for b -cell function and insulin resistance (Herbert et al. , 2006; Frayling et al. , 2007; Scuteri et al. , 2007; Liu et al. , 2008).”
Evaluation of a two-stage framework for prediction using big genomic data
Jiang, X., & Neapolitan, R. E. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv010 · Cited by 8
Lv, D., Zhou, D., Zhang, Y., Zhang, S., & Zhu, Y. (2017) · Gene · doi:10.1016/j.gene.2017.06.030 · Cited by 8
Zhang, H., Huang, R., Tian, S., An, K., Zhu, W., Shi, J., Cao, W., & Wang, S. (2020) · BioMed Research International · doi:10.1155/2020/4935831 · Cited by 8
“Moreover, multiple linear regression with TMTB score insisted that TC and LDL are associated with the TMTB score independent from age, gender, education, BMI, DM duration, HBP duration, smoking, insulin, and metformin usage.”
BackgroundInfluentialFBAT-SNP-PC: An Approach for Multiple Markers and Single Trait in Family-Based Association Tests
Rakovski, C. S., Weiss, S. T., Laird, N. M., & Lange, C. (2008) · Human Heredity · doi:10.1159/000119111 · Cited by 8
New Powerful Approaches for Family‐based Association Tests with Longitudinal Measurements
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“The Framingham Heart Study is conducted and supported by the National Heart, Lung and Blood Institute (NHLBI) in collaboration with Boston University and the participants are enrolled from the community without ascertainment for a particular trait or disease (Kannel, 2000; Herbert et al., 2006).”
BackgroundMethodStunff, C. L., Dechartres, A., del Giudice, E. M., Froguel, P., & Bougneres, P. F. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1822 · Cited by 8
“Plasma glucose was determined with a glucose analyzer (Beckman glucose analyzer, Beckman Coulter, Fullerton, CA) and serum insulin by time-resolved fluoroimmunoassay using Wallac Delfia reagents (PerkinElmer SAS, Courtaboeuf, France).”
BackgroundInfluentialInterpreting analyses of continuous covariates in affected sibling pair linkage studies
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“…proposed the simultaneous use of two pairwise covariates, Xsum ¼ ðX1 XÞ þ ðX2 XÞ and Xdiff ¼ jX1 X2j, in the Rice-Holmans likelihood for ASP linkage analysis [Holmans, 2002; Rice et al., 1999] and also provided guidance on the vexing issue of correcting for multiple testing when many covariates,…”
Koskinen, S., Kampman, O., Solismaa, A., Lyytikäinen, L., Seppälä, N., Viikki, M., Hämäläinen, M., Moilanen, E., Mononen, N., Lehtimäki, T. J., et al. (2016) · Pharmacogenomics · doi:10.2217/pgs-2016-0117 · Cited by 7
Novel recessive locus for body mass index in childhood asthma
Lee, S., Lasky-Su, J. A., Won, S., Laurie, C. A., Celedon, J. C., Lange, C., Weiss, S. T., & Hecker, J. (2021) · Thorax · doi:10.1136/thoraxjnl-2020-215742 · Cited by 7
Latent common genetic components of obesity traits
Tayo, B. O., Harders, R., Luke, A. H., Zhu, X., & Cooper, R. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.194 · Cited by 7
A data-driven weighting scheme for family-based genome-wide association studies
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“Family-based genome-wide association studies have identified susceptibility loci for some complex human diseases.3 Currently, family-based association tests such as the TDT and its extensions4–8 are the most commonly used methods to detect disease susceptibility loci in Users may view, print, copy,…”
Hubacek, J. A., Kuthanová, L., Bohuslavová, R., Adámková, V., Lánská, V., Meitinger, T., & Pfeufer, A. (2010) · PubMed · doi:10.14712/fb2010056030131 · Cited by 7
Genome wide association study: searching for genes underlying body mass index in the Chinese.
Yang, F., Chen, X. D., Tan, L., Shen, J., Li, D. Y., Zhang, F., Sha, B. Y., & Deng, H. (2014) · PubMed · doi:10.3967/bes2014.061 · Cited by 7
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“Discussion INSIG2, showing involvement with cholesterol metabolism in studies using the cell line and mice, has been identified as an obesity-susceptible gene in a recent wholegenome association study [1].”
InfluentialResponse to Comments on "A Common Genetic Variant Is Associated with Adult and Childhood Obesity"
Herbert, A. G., Gerry, N. P., McQueen, M. B., Heid, I. M., Pfeufer, A., Illig, T., Wichmann, H. ‐., Meitinger, T., Hunter, D., Hu, F. B., et al. (2007) · Science · doi:10.1126/science.1129763 · Cited by 7
Self-citationGENESTAT: an information portal for design and analysis of genetic association studies
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Genome-wide association studies for the identification of biomarkers in metabolic diseases
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“These four groups were selected for severe obesity, while the fifth group had a mean BMI representative of the majority of overweight patients [62].”
BackgroundInfluentialAspectos genéticos de la obesidad humana
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Evolutionary biology as a foundation for studying aging and aging-related disease
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Genetic Landscape of Obesity in Children: Research Advances and Prospects
Khusainova, R. I., Minniakhmetov, I. R., Vasyukova, O. V., Yalaev, B. I., Ринатович, С. Р., Kopytina, D. A., Guseinova, R. M., Dobreva, E. A., Mel'nichenko, G. A., Dedov, I. I., et al. (2025) · Journal of Obesity · doi:10.1155/jobe/9186826 · Cited by 8
“Variants in the FTO gene demonstrated particularly consistent associations across pediatric studies, underscoring its prominent and stable role in weight regulation during early development [113, 114].”
Zhou, F., Tian, G., Cui, Y., He, S., & Yan, Y. (2023) · Pediatric Obesity · doi:10.1111/ijpo.13077 · Cited by 6
“19,20 Subsequent replication studies showed the association of variants in the FTO with BMI was more robust compared to the INSIG2 gene for children.”
Result
Metadata
- Authors
- Herbert, A., Gerry, N. P., McQueen, M. B., Heid, I. M., Pfeufer, A., Illig, T., Wichmann, H.-E., Meitinger, T., Hunter, D., Hu, F. B., Colditz, G., Hinney, A., Hebebrand, J., Koberwitz, K., Zhu, X., Cooper, R., Ardlie, K., Lyon, H., Hirschhorn, J. N., Laird, N. M., Lenburg, M. E., Lange, C., & Christman, M. F.
- Affiliations
- Boston University (US)
- Corresponding author
- Herbert, Alan
- Christman, Michael F.
- ORCID
- Venue
- Science
- Published
- 2006-04-14
- Volume
- 312
- Issue
- 5771
- Pages
- 279-283
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2149512324
- Cited by
- 732
- References
- 32
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 10 · 2022: 8 · 2021: 10 · 2020: 8 · 2019: 11 · 2018: 2 · 2017: 17 · 2016: 19 · 2015: 28 · 2014: 30 · 2013: 37 · 2012: 39
- FWCI
- 75.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Civil War Book Review (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Site cant be reached (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01 HL54485, U01HL065899, R01HL066289, R01HL66289, R01HL074166, U01 HL65899)
- National Institute of Mental Health (R01MH59532, R01MH059532)
- National Cancer Institute (CA-87969, P01CA087969)
- National Institute of General Medical Sciences (R01GM046877)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK046200, K23DK067288, P30 DK-46200)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD060726)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- obesity, genetic association, INSIG2, childhood obesity, adult obesity, type 2 diabetes risk, whole genome scan, Framingham Heart Study, African Americans
- MeSH terms
- Adult, Alleles, Black or African American, Child, Europe, Female, Gene Frequency, Genes, Recessive, Genotype, Haplotypes, Humans, Male, Membrane Proteins, Models, Genetic, Obesity, Genetic Variation, Cohort Studies, Linkage Disequilibrium, Body Mass Index, Case-Control Studies, Genetic Predisposition to Disease, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, White People, Intracellular Signaling Peptides and Proteins
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