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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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“Although obesity has been shown to be associated with one common genetic polymorphism in the United States (Herbert et al., 2006) and another in the United Kingdom (Frayling et al., 2007), the vast majority of obesity is related to more than one gene locus, each accounting for only a part of…”
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“from Genomics Collaborative (Table 1), as previously described (14).”
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“Nevertheless, effects of some SNPs appear to be more pronounced in children and diminish later in life as has been shown for the associations of variants in TMEM18 , GNDPA2 , MC4R , NEGR1 , BDNF and KTCD15 with early-onset obesity [57], and particularly for INSIG2 variants [58–60].”
BackgroundObesity: Interactions of Genome and Nutrients Intake
Doo, M., & Kim, Y. (2015) · Preventive Nutrition and Food Science · doi:10.3746/pnf.2015.20.1.1 · Cited by 51
The Genetic Basis of Obesity and Related Metabolic Diseases in Humans and Companion Animals
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“Its coding gene (INSIG2) has been implicated in human GWAS for BMI [145], but that association has not been reliably replicable [146], so its validity as a candidate obesity gene is somewhat limited.”
BackgroundVansteelandt, S., Goetgeluk, S., Lutz, S. M., Waldman, I. D., Lyon, H. N., Schadt, E. E., Weiss, S. T., & Lange, C. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20393 · Cited by 53
“…adjustment principle by an application to three GWAS: a 100 K Affymetrix scan in the family-plates of the Framing-ham Heart Study (1,400 probands) [Herbert et al., 2006], a 550 K Illumina scan in the British Birth Cohort (genotype data on 1,430 probands, http://www.b58cgene.sgul.ac.uk/) and a 550…”
Smith, A. J. P., Cooper, J. A., Li, L. K., & Humphries, S. E. (2007) · International Journal of Obesity · doi:10.1038/sj.ijo.0803645 · Cited by 50
“Using the recessive model proposed by Herbert et al., the GG/CG genotypes were combined and analysed against the CC genotype. The previous study identified an association between obesity Received 14 October 2006; revised 31 January 2007; accepted 29 March 2007; published online 1 May 2007 Correspondence: Dr AJP Smith,…”
MethodGenetics: A Starting Point for the Prevention and the Treatment of Obesity
Novelli, G., Cassadonte, C., Sbraccia, P., & Biancolella, M. (2023) · Nutrients · doi:10.3390/nu15122782 · Cited by 54
“However, there are exceptions, such as the rs7566605 C allele of the INSIG2 gene, present in 10% of individuals of different ethnic origins, suggesting that it is ancient and is consistent with the hypothesis that such alleles only became deleterious in modern times [70].”
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The positives, protocols, and perils of genome‐wide association
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“Recently, a 100K scan of reported an obesity gene that met genomewide significance using this methodology with replication in several independent samples across various ages and ethnicities [Herbert et al., 2006].”
MethodInsulin-Induced Gene 2 Involvement in Human Adipocyte Metabolism and Body Weight Regulation
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“In addition, the hepatic over-expression of Insig-1 (or Insig-2) would also inhibit the activation of SREBP-1c in the rat liver [32–34], a key factor in the control of hepatic glucose metabolism and the manipulation of glucose homeostasis associated with insulin.”
BackgroundGenotype-Phenotype Associations in Obesity Dependent on Definition of the Obesity Phenotype
Kring, S. I. I., Larsen, L. H., Holst, C., Toubro, S., Hansen, T. F., Astrup, A. V., Pedersen, O. B., & rensen, T. I. A. S. O. (2008) · Obesity Facts · doi:10.1159/000137665 · Cited by 46
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Genomic approaches to drug discovery
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“Based on the previous findings [10, 36], we only considered an additive model in testing the associations between these SNPs and adiposity phenotypes except for the SNP near INSIG2 for which we used a recessive model [5].”
BackgroundMethodPollex, R. L., Ban, M. R., Young, T. K., Bjerregaard, P., Anand, S. S., Yusuf, S., Zinman, B., Harris, S. B., Hanley, A. J., Connelly, P. W., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-80 · Cited by 48
“Our study also examined the rs7566605 genetic variant, located 10 kb upstream of the INSIG2 gene, which was recently shown in a multi-staged genome-wide association study to be associated with obesity [9].”
Role of Hereditary Factors in Weight Loss and Its Maintenance
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BackgroundAssociation of Morbid Obesity With FTO and INSIG2 Allelic Variants
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“In addition to the above cases that were taken directly from rSNP_Guide database, from two recent publications we examined the non-coding SNPs (three in total) within or around two genes, namely INSIG2 [65] and TCF7L2 [66], that represent extremely rare examples of variants associated with complex disease (obesity and…”
BackgroundINSIG1 influences obesity-related hypertriglyceridemia in humans
Smith, E. M., Zhang, Y., Baye, T. M., Gawrieh, S., Cole, R., Blangero, J., Carless, M. A., Curran, J. E., Dyer, T. D., Abraham, L. J., et al. (2009) · Journal of Lipid Research · doi:10.1194/jlr.m001404 · Cited by 44
“with BMI and LDL-C in other studies (41-43), and tested for both main effects and”
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“Recently, a single nucleotide polymorphism (SNP) located 10 kb upstream of INSIG2 (rs7566605) was shown to be associated with an increased obesity risk for CChomozygotes in a cross-sectional study of adults and children (6).”
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Kao, A. C.-C., & Müller, D. J. (2013) · Pharmacogenomics · doi:10.2217/pgs.13.207 · Cited by 43
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“The Affymetrix 100K SNPs provided 112,990 autosomal and 2344 X-chromosomal SNPs in 1345 individuals (16).”
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MethodCorbi, G., Polito, R., Monaco, M. L., Cacciatore, F., Scioli, M., Ferrara, N., Daniele, A., & Nigro, E. (2019) · Nutrients · doi:10.3390/nu11092195 · Cited by 41
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Vansteelandt, S., DeMeo, D. L., Lasky-Su, J. A., Smoller, J. W., Murphy, A., McQueen, M. B., Schneiter, K., Celedon, J. C., Weiss, S. T., Silverman, E. K., et al. (2007) · Biometrics · doi:10.1111/j.1541-0420.2007.00925.x · Cited by 37
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Thirlaway, K., & Upton, D. (2009) · University of Canberra Research Portal · Cited by 38
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“In fact, a number of genome-wide association studies have already leveraged the availability of high-throughput genotyping technologies to identify polymorphisms in genes that associate with diseases like age-related macular degeneration [74–76], diabetes [77, 78], obesity [ 79 ], and cancer [80], to name just a few.”
BackgroundHow hormones mediate trade-offs in human health and disease
Bribiescas, R. G., & Ellison, P. T. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199207466.003.0007 · Cited by 36
INSIG2 Polymorphism Is Neither Associated With BMI Nor With Phenotypes of Lipoprotein Metabolism
Boes, E., Kollerits, B., Heid, I. M., Hunt, S. C., Pichler, M., Paulweber, B., Coassin, S., Adams, T. D., Hopkins, P. N., Lingenhel, A., et al. (2008) · Obesity · doi:10.1038/oby.2007.132 · Cited by 36
“(rs7566605) 10 kb upstream of the INSIG2 transcription start site to be associated with obesity in white and AfricanAmerican populations (6).”
BackgroundMethodInfluentialCommon Genetic Variants for Breast Cancer: 32 Largely Refuted Candidates and Larger Prospects
Ioannidis, J. P. A. (2006) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djj392 · Cited by 36
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“We also included the polymorphism rs7566605 located 10 kb upstream of the INSIG2 gene associated with BMI and various other indices of obesity (Herbert et al., 2006; Lyon et al., 2007).”
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de Krom, M., Bauer, F., Collier, D. A., Adan, R. A. H., & la Fleur, S. E. (2009) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-080508-141124 · Cited by 34
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“[4] conducted a genome-wide association study to identify genetic loci (single nucleotide polymorphisms; SNPs) contributing to obesity using BMI as the primary phenotype.”
BackgroundInfluentialDai, F., Sun, G., Åberg, K. A., Keighley, E. D., Indugula, S. R., Roberts, S. T., Smelser, D. T., Viali, S., Li, J., Deka, R., et al. (2008) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2008.00462.x · Cited by 34
“…and 780 Annals of Human Genetics (2008) 72,780–792 C© 2008 The Authors Journal compilation C© 2008 Blackwell Publishing Ltd/University College London genetic variants associated with obesity and related traits (Bell et al. 2005, Rankinen et al. 2006, Herbert et al. 2006, Frayling et al. 2007).”
BackgroundIsa, K. A. M., & Masuri, M. G. (2011) · American Journal of Food and Nutrition · doi:10.5251/ajfn.2011.1.2.55.60 · Cited by 32
Honma, T., Kitano, Y., Kijima, R., Jibu, Y., Kawakami, Y., Tsuduki, T., Nakagawa, K., & Miyazawa, T. (2013) · NIPPON SHOKUHIN KOGYO GAKKAISHI · doi:10.3136/nskkk.60.541 · Cited by 33
A Survey on Machine and Deep Learning Models for Childhood and Adolescent Obesity
Siddiqui, H., Rattani, A., Woods, N. K., Cure, L., Lewis, R. K., Twomey, J. M., Smith‐Campbell, B., & Hill, T. J. (2021) · IEEE Access · doi:10.1109/access.2021.3131128 · Cited by 37
“Lot of research has been done to study the causal effect of genetics in relation to obesity [50], [51].”
Bivariate Linkage Study of Proximal Hip Geometry and Body Size Indices: The Framingham Study
Karasik, D., Dupuis, J., Cupples, L. A., Beck, T., Mahaney, M. C., Havill, L. M., Kiel, D. P., & Demissie, S. (2007) · Calcified Tissue International · doi:10.1007/s00223-007-9052-y · Cited by 33
“Height and body mass index (BMI) are also under genetic influence [23, 24].”
BackgroundMultistage Sampling for Genetic Studies
Elston, R. C., Lin, D., & Gang, Z. (2007) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.8.080706.092357 · Cited by 33
“(58) for a single-stage familybased association study and was applied to a genome-wide family-based association study with 100,000 SNPs (18).”
MethodCalibration of credibility of agnostic genome‐wide associations
Ioannidis, J. P. A. (2008) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30721 · Cited by 33
“…disease [Maraganore et al., 2005; Elbaz et al., 2006]; the INSIG2neighboring variant that was proposed to be associated with obesity risk [Herbert et al., 2006; Dina et al., 2007; Loos et al., 2007; Rosskopf et al., 2007]; and even some of the gene variants (such as EXT2-ALX4 variants)…”
BackgroundGallicchio, L. M., Chang, H. H., Christo, D. K., Thuita, L. W., Huang, H. Y., Strickland, P. T., Ruczinski, I., Clipp, S. L., & Helzlsouer, K. J. (2009) · BMC Medical Genetics · doi:10.1186/1471-2350-10-103 · Cited by 32
“Lyon HN, Emilsson V, Hinney A, Heid IM, Lasky-Su J, Zhu X, Thorleifsson G, Gunnarsdottir S, Walters GB, Thorsteinsdottir U, et al.: The association of a SNP upstream of INSIG2 with body mass index is reproduced in several but not all cohorts.”
ResultKelly, S. A., Nehrenberg, D. L., Hua, K., Garland, T., & Pomp, D. (2012) · Genetics · doi:10.1534/genetics.112.140509 · Cited by 33
“Insig2 has been implicated in the functional regulation of lipid and cholesterol metabolism, positively (Herbert et al. 2006; Lyon et al. 2007) and negatively (Dina et al. 2007) associated with human obesity, associated with cholesterol biosynthesis, and characterized as a strong candidate…”
BackgroundWoehning, A., Schultz, J.-H., Roeder, E., Moeltner, A., Isermann, B., Nawroth, P., Wolfrum, C., & Rudofsky, G. (2012) · International Journal of Obesity · doi:10.1038/ijo.2012.14 · Cited by 32
Larkin, E. K., Patel, S. R., Elston, R. C., Gray‐McGuire, C., Zhu, X., & Redline, S. S. (2008) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2008.00472.x · Cited by 33
“Also, several genome-wide association studies of obesity have identified genes that were not observed in this study, including fat mass and obesity associated (FTO), insulin induced gene 2 (INSIG2), melanocortin 4 receptor (MC4R), catenin β-like 1 CTNNBL1 and phosphofructokinase, platelet (PFKP) (Herbert et al., 2006;…”
BackgroundNew insights into the genetics of body weight
Dina, C. (2008) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e328303e5e6 · Cited by 32
Vogel, C. I., Scherag, A., Brönner, G., Nguyen, T. T., Wang, H.-J., Grallert, H., Bornhorst, A., Rosskopf, D., Völzke, H., Reinehr, T., et al. (2009) · BMC Medical Genetics · doi:10.1186/1471-2350-10-19 · Cited by 30
Wang, Y., Tong, C., Wang, Z., Wang, Z., Mauger, D. T., Tantisira, K. G., Israel, E., Szefler, S. J., Chinchilli, V. M., Boushey, H. A., et al. (2015) · The Pharmacogenomics Journal · doi:10.1038/tpj.2014.83 · Cited by 31
Wang, H., Zhang, H., ZHANG, S.-W., Pan, Y., & Ma, J. (2008) · Biomedical and Environmental Sciences · doi:10.1016/s0895-3988(09)60013-1 · Cited by 31
Capel, F. (2007) · CRC Press eBooks · doi:10.3109/9781420020137 · Cited by 31
Adaptive Two-Stage Analysis of Genetic Association in Case-Control Designs
Zheng, G., Song, K. S., & Elston, R. C. (2007) · Human Heredity · doi:10.1159/000099830 · Cited by 30
Gene × Environment Interactions in Obesity: The State of the Evidence
Ahmad, S., Varga, T. V., & Franks, P. W. (2013) · Human Heredity · doi:10.1159/000351070 · Cited by 31
Obesity and genomics: role of technology in unraveling the complex genetic architecture of obesity
Apalasamy, Y. D., & Mohamed, Z. (2015) · Human Genetics · doi:10.1007/s00439-015-1533-x · Cited by 35
Genetics of type 2 diabetes mellitus and obesity—a review
Jafar‐Mohammadi, B., & McCarthy, M. I. (2008) · Annals of Medicine · doi:10.1080/07853890701670421 · Cited by 31
“In a low-density scan initiated in the Framingham cohort, Herbert and colleagues published evidence that variation at the INSIG2 gene may be responsible for a modest increase in the risk of obesity (76).”
MethodMurphy, A., Weiss, S. T., & Lange, C. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000197 · Cited by 30
“establish genome-wide significance within one data set. They usually identify only a handful of SNPs (typically fewer than 20) which are then genotyped in other studies in order to generalize the significant findings”
Crawford, D. C., Ritchie, M. D., & Rieder, M. J. (2007) · Pharmacogenomics · doi:10.2217/14622416.8.5.487 · Cited by 30
Fine‐mapping of Obesity‐related Quantitative Trait Loci in an F9/10 Advanced Intercross Line
Fawcett, G. L., Jarvis, J. P., Roseman, C. C., Wang, B., Wolf, J. B., & Cheverud, J. M. (2009) · Obesity · doi:10.1038/oby.2009.411 · Cited by 30
“Genes such as INSIG2 (15) are controversial and may exhibit nonadditive, epistatic effects on fat deposition.”
BackgroundLasky-Su, J., Banaschewski, T., Buitelaar, J., Franke, B., Brookes, K., Sonuga-Barke, E., Ebstein, R., Eisenberg, J., Gill, M., Manor, I., et al. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.03.006 · Cited by 29
Association Analyses Between Type 2 Diabetes Genes and Obesity Traits in Pigs
Du, Z., Fan, B., Zhao, X., Amoako, R., & Rothschild, M. F. (2008) · Obesity · doi:10.1038/oby.2008.557 · Cited by 29
Effects of theFTOGene on Lifestyle Intervention Studies in Children
Rendo‐Urteaga, T., Moleres, A., & del Moral, A. M. (2009) · Obesity Facts · doi:10.1159/000262296 · Cited by 27
Kuo, P., Kao, C., Chen, P., Chen, C.-H., Tsai, Y.-S., Lu, M., & Huang, M. (2011) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e318234ee84 · Cited by 29
“A single nucleotide polymorphism (SNP) (rs7566605) at 10 kb upstream of the transcription site of INSIG2 was significantly associated with BMI.(19) In addition, the animal experiment demonstrated that overexpression of this gene causes a reduction in plasma triglyceride (TG) levels.”
BackgroundResultInfluentialTeoh, S. L., & Das, S. (2016) · Tumor Biology · doi:10.1007/s13277-016-5357-7 · Cited by 29
“Framingham Heart Study participants, a common genetic variant located 10 kb upstream of the transcription start site of INSIG2 gene was identified to be associated with obesity [90].”
BackgroundSay, Y.-H. (2017) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.1186/s40101-017-0142-x · Cited by 29
Fisler, J. S., & Warden, C. H. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-391884-0.00023-8 · Cited by 29
A latent class model for obesity
Greene, W. H., Harris, M. N., Hollingsworth, B. P., & Maitra, P. (2014) · Economics Letters · doi:10.1016/j.econlet.2014.01.004 · Cited by 28
Dog obesity – The need for identifying predisposing genetic markers
Switonski, M., & Mankowska, M. (2013) · Research in Veterinary Science · doi:10.1016/j.rvsc.2013.08.015 · Cited by 28
Pharmacogenetic Correlates of Antipsychotic-Induced Weight Gain in the Chinese Population
Luo, C., Liu, J., Wang, X., Mao, X., Zhou, H., & Liu, Z. (2019) · Neuroscience Bulletin · doi:10.1007/s12264-018-0323-6 · Cited by 31
“The rs7566605 SNP of INSIG2 was suggested to be associated with obesity [118], but the first study of an association of rs7566605 with AIWG yielded a negative result with CATIE samples [119].”
ResultLuo, M., Sainsbury, J., Tuff, J. F., Lacap, P. A., Yuan, X.-Y., Hirbod, T., Kimani, J., Wachihi, C., Ramdahin, S., Bielawny, T., et al. (2012) · Journal of Virology · doi:10.1128/jvi.01499-12 · Cited by 27
“Genome-wide SNP (single-nucleotide polymorphism) analysis allows for an unbiased identification of genetic factors that influence complex traits, and high-throughput technologies have allowed for tremendous progress in this field (3, 8, 18, 31).”
Background
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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