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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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Mapping the Genetic Architecture of Gene Expression in Human Liver
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“Recent large-scale, genome-wide association studies have now delivered a number of novel findings across a diversity of diseases, including age-related macular degeneration [1–3], heart disease [4,5], host control of HIV-1 [6], type I and II diabetes [7,8], and obesity [9].”
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Assessment of cumulative evidence on genetic associations: interim guidelines
Ioannidis, J. P. A., Boffetta, P., Little, J., O'Brien, T. R., Uitterlinden, A. G., Vineis, P., Balding, D. J., Chokkalingam, A. P., Dolan, S. M., Flanders, W. D., et al. (2007) · International Journal of Epidemiology · doi:10.1093/ije/dym159 · Cited by 554
Two independent alleles at 6q23 associated with risk of rheumatoid arthritis
Plenge, R. M., Cotsapas, C. J., Davies, L. R. L., Price, A. L., de Bakker, P. I. W., Maller, J., Pe’er, I., Burtt, N. P., Blumenstiel, B. S., DeFelice, M., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.27 · Cited by 552
“27" language="eng" relation="no"> To identify susceptibility alleles associated with rheumatoid arthritis, we genotyped 397 individuals with rheumatoid arthritis for 116,204 SNPs and carried out an association analysis in comparison to publicly available genotype data for 1,211 related individuals from the Framingham…”
MethodAugust, G. P., Caprio, S., Fennoy, I., Freemark, M., KAUFMAN, F. R., Lustig, R. H., Silverstein, J. H., Speiser, P., Styne, D. M., & Montori, V. M. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2458 · Cited by 518
“This concept is supported by a genome-wide scan in participants in the Framingham Heart Study demonstrating that a common polymorphism in a cholesterol-regulating gene is associated with obesity (79).”
ResultHinney, A., Nguyen, T. T., Scherag, A., Friedel, S., Brönner, G., Müller, T. D., Grallert, H., Illig, T., Wichmann, H. ‐., Rief, W., et al. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001361 · Cited by 521
“INTRODUCTION The advent of genome wide association studies (GWAs) already has had a major impact on the identification of polygenes involved in human body weight regulation [1].”
BackgroundAndreasen, C. H., Stender-Petersen, K. L., Mogensen, M. S., Torekov, S. S., Wegner, L., Andersen, G., Nielsen, A. L., Albrechtsen, A., Borch-Johnsen, K., Rasmussen, S. S., et al. (2008) · Diabetes · doi:10.2337/db07-0910 · Cited by 476
“Association between common forms of obesity and genes such as GAD2 (1), ENPP1 (2), and INSIG2 (3) have been reported but difficult to validate (4–6).”
BackgroundThe genetic contribution to non-syndromic human obesity
Walley, A. J., Asher, J. E., & Froguel, P. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2594 · Cited by 412
“Although an early first-generation array-based GWA study identified insulin-induced gene 2 ( INSIG2 ) as a candidate obesity gen”
BackgroundLasky-Su, J. A., Neale, B. M., Franke, B., Anney, R., Zhou, K., Maller, J., Vásquez, A. A., Chen, W., Asherson, P. J., Buitelaar, J. K., et al. (2008) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30867 · Cited by 398
Highly parallel genomic assays
Fan, J., Chee, M. S., & Gunderson, K. L. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1901 · Cited by 389
“Nonetheless, high-density arrays of random SNPs have been used successfully to identify loci that harbour disease-predisposing genetic variants through genome-wide association scan”
Overcoming the Winner’s Curse: Estimating Penetrance Parameters from Case-Control Data
Zöllner, S. K., & Pritchard, J. K. (2007) · The American Journal of Human Genetics · doi:10.1086/512821 · Cited by 383
“Simulate genotype counts D on the basis of minor-allele frequency f and penetrances v1, v2, and v3 for a sample of n cases and n controls, according to equation (3), under the assumption of Hardy-Weinberg equilibrium in the general population.”
BackgroundMethodInfluentialGenomewide Association between GLCCI1 and Response to Glucocorticoid Therapy in Asthma
Tantisira, K. G., Lasky-Su, J. A., Harada, M., Murphy, A., Litonjua, A. A., Himes, B. E., Lange, C., Lazarus, R. M., Sylvia, J. S., Klanderman, B. J., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa0911353 · Cited by 368
A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study
Kathiresan, S., Manning, A. K., Demissie, S., D’Agostino, R. B., Surti, A., Guiducci, C., Gianniny, L., Burtt, N. P., Melander, O., Orho‐Melander, M., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s17 · Cited by 338
“Genotyping methods All analyses were based on the Affymetrix 100K GeneChip genotyping data generated in Framingham Heart Study participants as described previously [20].”
MethodSpeakman, J. R., Rance, K. A., & Johnstone, A. M. (2008) · Obesity · doi:10.1038/oby.2008.318 · Cited by 331
“These studies include variants in the INSIG (10), GAD2 (11), ENPP1 (12), and FTO (13) genes.”
BackgroundRegulation ofFto/Ftmgene expression in mice and humans
Stratigopoulos, G., Padilla, S. L., LeDuc, C. A., Watson, E., Hattersley, A. T., McCarthy, M. I., Zeltser, L. M., Chung, W. K., & Leibel, R. L. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00839.2007 · Cited by 329
Evolution in Health and Disease
(2007) · doi:10.1093/acprof:oso/9780199207466.001.0001 · Cited by 323
Genetic Epidemiology of Obesity
Yang, W., Kelly, T. N., & He, J. (2007) · Epidemiologic Reviews · doi:10.1093/epirev/mxm004 · Cited by 322
“(21) identified a common genetic variant near the insulin-induced gene 2 (INSIG2) associated with obesity in Framingham Heart Study participants.”
Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks
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Genome-wide association studies of obesity and metabolic syndrome
Fall, T., & Ingelsson, E. (2012) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2012.08.018 · Cited by 309
Israel, S., Lerer, E., Shalev, I., Uzefovsky, F., Riebold, M., Laiba, E., Bachner-Melman, R., Maril, A., Bornstein, G., Knafo, A., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005535 · Cited by 278
“To limit the conundrum of multiple testing, we used a more stringent criteria for SNP selection in the second sample[39].”
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Lencz, T., Morgan, T., Athanasiou, M., Dain, B., Reed, C. R., Kane, J. M., Kucherlapati, R., & Malhotra, A. K. (2002) · Molecular Psychiatry · doi:10.1038/sj.mp.4001983 · Cited by 282
Gene-environment interaction and obesity
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Bessesen, D. H. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0520 · Cited by 257
“with those individuals with low-risk alleles (17).”
Model of genetic variation in human social networks
Fowler, J. H., Dawes, C. T., & Christakis, N. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806746106 · Cited by 245
From monogenic to polygenic obesity: recent advances
Hinney, A., Vogel, C. I. G., & Hebebrand, J. (2010) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-010-0096-6 · Cited by 269
Non-Replication and Inconsistency in the Genome-Wide Association Setting
Ioannidis, J. P. A. (2007) · Human Heredity · doi:10.1159/000103512 · Cited by 246
Variations in the FTO gene are associated with severe obesity in the Japanese
Hotta, K., Nakata, Y., Matsuo, T., Kamohara, S., Kotani, K., Komatsu, R., Itoh, N., Mineo, I., Wada, J., Masuzaki, H., et al. (2008) · Journal of Human Genetics · doi:10.1007/s10038-008-0283-1 · Cited by 244
“Recent progress in single nucleotide polymorphism (SNP) genotyping techniques has enabled genome-wide association studies on common diseases (Herbert et al. 2006; Frayling et al. 2007; Scuteri et al. 2007; The Wellcome Trust Case Control Consortium 2007; Hinney et al. 2007).”
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Crosbie, J., Arnold, P., Paterson, A., Swanson, J., Dupuis, A., Li, X., Shan, J., Goodale, T., Tam, C., Strug, L. J., et al. (2013) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-012-9693-9 · Cited by 218
“The approach has been successful in studies of QT interval (Arking et al. 2006), obesity (Herbert et al. 2006), foetal haemoglobin level (Menzel and Thein 2009), and in one previous candidate gene study for ADHD traits (Cornish et al. 2005).”
ResultAlbuquerque, D., Stice, E. M., Rodríguez‐López, R., Manco, L., & Nóbrega, C. (2015) · Molecular Genetics and Genomics · doi:10.1007/s00438-015-1015-9 · Cited by 240
“The remaining loci with evidence for association were INSIG2, MC4R, NEGR1, BDNF and KCTD15 (Zhao and Grant 2011; Mitchell et al. 2013).”
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Watts, J. L. (2009) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2008.11.002 · Cited by 228
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“Michael Christman and Alan Herbert at Boston University School of Medicine in the Department of Genetics and Genomics using the GeneChip Human Mapping 100K set from Affymetrix, following the manufacturer's protocol as previously described [57].”
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“Two additional GWA studies were published within that year, of Parkinson’s disease and obesity (38, 39), but efforts at replicating these findings have produced inconsistent results (40, 41).”
ResultGrant, S. F. A., Li, M., Bradfield, J. P., Kim, C., Annaiah, K., Santa, E., Glessner, J., Casalunovo, T., Frackelton, E. C., Otieno, F. G., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001746 · Cited by 206
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Genome-wide association scans identified CTNNBL1 as a novel gene for obesity
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“Body mass variation is now known to have a large genetic component, with heritability estimates ranging from 30% to 70% (12).”
BackgroundFox, C. S., Heard‐Costa, N. L., Cupples, L. A., Dupuis, J., Vasan, R. S., & Atwood, L. D. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s18 · Cited by 172
“001 for mean BMI) previously identified in this sample using a different analytic method [18].”
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“While more common statistical tests, such as the Bonferroni and Hochberg corrections, did not identify this variant, the multi-stage approach employed by the authors proved accurate, as this variant was replicated in four out of five independent populations (no significant association was found using the Nurses Health…”
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Applications of Linkage Disequilibrium and Association Mapping in Crop Plants
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“A long standing mixed model method has been used by animal scientists to analyze the data from extended pedigree in dairy or cattle breeding programs (Henderson 1975; Henderson 1976; Henderson 1984 ).”
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Association of the FTO Gene With BMI
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Lyon, H. N., Emilsson, V., Hinney, A., Heid, I. M., Lasky-Su, J. A., Zhu, X., Þorleifsson, G., Gunnarsdottir, S., Walters, G. B., Þorsteinsdóttir, U., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030061 · Cited by 154
“The association of SNP rs7566605 with obesity was initially found in a set of related individuals from the Framingham Heart Study (FHS) offspring cohort [8].”
BackgroundMethodInfluentialThe Genetic Basis of Type 2 Diabetes.
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“For example, a recent study (82) identified a variant in the insulin induced gene 2 (INSIG2) that was associated with obesity in children and adults in several populations using the genome-wide association approach.”
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“Similarly, the GSMA would miss common genes with a low sibling recurrence risk that would be easily detectable in large association studies, such as the insulininduced gene 2 (INSIG2) gene, which was recently identified as a probable susceptibility gene for obesity by genome-wide association (63).”
BackgroundPrecision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision
Hekler, E. B., Tiro, J. A., Hunter, C. M., & Nebeker, C. (2020) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaa018 · Cited by 154
Development and Evaluation of a Genetic Risk Score for Obesity
Belsky, D. W., Moffitt, T. E., Sugden, K., Williams, B., Houts, R., McCarthy, J., & Caspi, A. (2013) · Biodemography and Social Biology · doi:10.1080/19485565.2013.774628 · Cited by 165
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Beaudet, A. L., & Belmont, J. W. (2007) · Annual Review of Medicine · doi:10.1146/annurev.med.59.012907.101800 · Cited by 144
Trikalinos, T. A., Salanti, G., Zintzaras, E., & Ioannidis, J. P. A. (2008) · Advances in genetics · doi:10.1016/s0065-2660(07)00413-0 · Cited by 145
Genetic dissection of type 2 diabetes
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“Insulin-induced gene 2 (INSIG2) was identified in a low-density scan in the Framingham cohort where heritability estimates for BMI range between 37 and 54% (58).”
BackgroundInfluentialRecent progress in the genetics of common obesity
Loos, R. J. F. (2009) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2009.03523.x · Cited by 147
O’Donnell, C. J., Cupples, L. A., D’Agostino, R. B., Fox, C. S., Hoffmann, U., Hwang, S., Ingellson, E., Liu, C., Murabito, J. M., Polak, J. F., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s4 · Cited by 139
“From GWAS, several previously unrecognized genes have been identified that may contribute to disease, including CFH and age-related macular degeneration [16], INSIG2 and obesity [17], NOS1AP with QT interval variation [18], and several genes including TCF7L2 [19] as well as IGF2BP2 and CDKA1 with diabetes mellitus [20…”
Hotta, K., Nakamura, M., Nakamura, T., Matsuo, T., Nakata, Y., Kamohara, S., Miyatake, N., Kotani, K., Komatsu, R., Itoh, N., et al. (2009) · Journal of Human Genetics · doi:10.1038/jhg.2009.106 · Cited by 138
Jarick, I., Vogel, C. I. G., Scherag, S., Schäfer, H., Hebebrand, J., Hinney, A., & Scherag, A. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq518 · Cited by 139
Analyses of shared genetic factors between asthma and obesity in children
Melén, E., Himes, B. E., Brehm, J. M., Boutaoui, N., Klanderman, B. J., Sylvia, J. S., & Lasky-Su, J. A. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2010.06.030 · Cited by 140
On the Replication of Genetic Associations: Timing Can Be Everything!
Lasky-Su, J. A., Lyon, H. N., Emilsson, V., Heid, I. M., Molony, C. M., Raby, B. A., Lazarus, R. M., Klanderman, B. J., Soto-Quirós, M. E., Ávila, L., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.01.018 · Cited by 132
“Details of the significant association between rs7566605 and obesity were described in the previous report.(9) SNP rs1455832 is also common (minor allele frequency [MAF] 1⁄4 0.”
BackgroundMethodInfluentialShen, G.-Q., Rao, S., Martinelli, N., Li, L., Olivieri, O., Corrocher, R., Abdullah, K. G., Hazen, S. L., Smith, J. D., Barnard, J., et al. (2007) · Journal of Human Genetics · doi:10.1007/s10038-007-0230-6 · Cited by 133
ARG1 Is a Novel Bronchodilator Response Gene
Litonjua, A. A., Lasky-Su, J. A., Schneiter, K., Tantisira, K. G., Lazarus, R. M., Klanderman, B. J., Lima, J. J., Irvin, C. G., Peters, S. P., Hanrahan, J. P., et al. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200709-1363oc · Cited by 130
Appetitive traits and child obesity: measurement, origins and implications for intervention
Carnell, S., & Wardle, J. (2008) · Proceedings of The Nutrition Society · doi:10.1017/s0029665108008641 · Cited by 130
Genome-wide association with select biomarker traits in the Framingham Heart Study
Benjamin, E. J., Dupuis, J., Larson, M. G., Lunetta, K. L., Booth, S. L., Govindaraju, D. R., Kathiresan, S., Keaney, J. F., Keyes, M. J., Lin, J., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s11 · Cited by 124
“Acknowledgements The investigators would like to express their gratitude to the Framingham Heart Study participants and key collaborators: Fox CS, Jacques PF, Lee DS, Lipinska I, Massaro JM, Murabito JM, O'Donnell CJ, Seshadri S, Yang Q.”
InfluentialComment on "A Common Genetic Variant Is Associated with Adult and Childhood Obesity"
Christian Dina, C., Meyre, D., Samson, C., Tichet, J., Marre, M., Jouret, B., Charles, M.-A. A., Balkau, B., & Froguel, P. (2007) · Science · doi:10.1126/science.1129402 · Cited by 125
Obesity susceptibility loci and dietary intake in the Look AHEAD Trial
McCaffery, J. M., Papandonatos, G. D., Peter, I., Huggins, G. S., Raynor, H. A., Delahanty, L. M., Cheskin, L. J., Balasubramanyam, A., Wagenknecht, L. E., & Wing, R. R. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.026955 · Cited by 127
Linkage Disequilibrium in Wild Mice
Laurie, C. C., Nickerson, D. A., Anderson, A. D., Weir, B. S., Livingston, R. J., Dean, M. D., Smith, K. L., Schadt, E. E., & Nachman, M. W. (2005) · PLoS Genetics · doi:10.1371/journal.pgen.0030144 · Cited by 123
“In recent years, there has been a great deal of investment in whole-genome association studies in humans, and these efforts are coming to fruition [17,18,43,44].”
BackgroundObesity – A neuropsychological disease? Systematic review and neuropsychological model
Jauch‐Chara, K., & Oltmanns, K. M. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.001 · Cited by 136
Insulin-induced gene: A new regulator in lipid metabolism
Dong, X., & Tang, S.-Q. (2010) · Peptides · doi:10.1016/j.peptides.2010.07.020 · Cited by 120
Squalene synthase: a critical enzyme in the cholesterol biosynthesis pathway
Do, R., Kiss, R., Gaudet, D., & Engert, J. C. (2008) · Clinical Genetics · doi:10.1111/j.1399-0004.2008.01099.x · Cited by 118
“Publicly available genome-wide datasets do not reveal any association of 21 FDFT1 variants and apoB, LDL-C or TC (Table 2) (81, 82).”
BackgroundLeón‐Mimila, P., Villamil‐Ramírez, H., Villalobos‐Comparán, M., Villarreal-Molina, M. T., Romero‐Hidalgo, S., López-Contreras, B. E., Gutiérrez‐Vidal, R., Vega‐Badillo, J., Jacobo‐Albavera, L., Posadas‐Romero, C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070640 · Cited by 123
“[12], we found that the G and not the C allele confers risk for obesity.”
BackgroundGenetic Determinants of Childhood Obesity
Littleton, S. H., Berkowitz, R. I., & Grant, S. F. A. (2020) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-020-00496-1 · Cited by 144
Khoury, M. J., Little, J., GWINN, M. L., & Ioannidis, J. P. A. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyl253 · Cited by 119
Integrating Genetics and Social Science: Genetic Risk Scores
Belsky, D. W., & Israel, S. (2014) · Biodemography and Social Biology · doi:10.1080/19485565.2014.946591 · Cited by 118
“For example, in the cases of obesity and asthma, the first and best-replicated GWAS discoveries, FTO for obesity and the ORMDL3/GSDMB locus on chromosome 17 for asthma, were unanticipated in existing biological models of disease pathogenesis (Herbert et al. 2006; Moffatt et al. 2007).”
BackgroundGenetics of fat tissue accumulation in pigs: a comparative approach
Switonski, M., Stachowiak, M., Cieślak, J., Bartz, M., & Grzes, M. (2010) · Journal of Applied Genetics · doi:10.1007/bf03195724 · Cited by 116
Comment on "A Common Genetic Variant Is Associated with Adult and Childhood Obesity"
Loos, R. J. F., Barroso, I., O’Rahilly, S., & Wareham, N. J. (2007) · Science · doi:10.1126/science.1130012 · Cited by 115
Evaluation of coverage variation of SNP chips for genome-wide association studies
Li, M., Li, C., & Guan, W. (2008) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5202007 · Cited by 113
Xi, B., Shen, Y., Zhang, M., Liu, X., Zhao, X., Wu, L., Cheng, H., Hou, D., Lindpaintner, K., Liu, L., et al. (2010) · BMC Medical Genetics · doi:10.1186/1471-2350-11-107 · Cited by 111
“Several promising genes have been reported to be associated with a variation in body mass index (BMI) in a monogenic or polygenic manner: proprotein convertase subtilisin/kexin type 1 (PCSK1) [6], melanocortin 4 receptor (MC4R) [7], catenin beta-like 1 (CTNNBL1) [8], ectonucleotide pyrophosphatase 1 (ENPP1) [9], and b…”
BackgroundComment on "A Common Genetic Variant Is Associated with Adult and Childhood Obesity"
Rosskopf, D., Bornhorst, A., Rimmbach, C., Schwahn, C., Kayser, A., Krüger, A., Tessmann, G., Geissler, I., Kroemer, H. K., & Völzke, H. (2007) · Science · doi:10.1126/science.1130571 · Cited by 112
Molecular genetic studies of gene identification for sarcopenia
Tan, L., Liu, S., Lei, S., Papasian, C. J., & Deng, H. (2011) · Human Genetics · doi:10.1007/s00439-011-1040-7 · Cited by 115
“The GWA approach has successfully identified new variants underlying several complex diseases or traits, such as diabetes (Smyth et al. 2006), obesity (Herbert et al. 2006), osteoporosis (Xiong et al. 2009) and hypertension (Wang et al. 2009b).”
MethodThe success of the genome-wide association approach: a brief story of a long struggle
Seng, K. C., & Seng, C. K. (2008) · European Journal of Human Genetics · doi:10.1038/ejhg.2008.12 · Cited by 111
Gene–environment interactions and obesity—Further aspects of genomewide association studies
Andreasen, C. H., & Andersen, G. (2009) · Nutrition · doi:10.1016/j.nut.2009.06.001 · Cited by 107
“The first obesity variant to be identified through the GWA approach was located w10 kb upstream of insulin-induced gene-2 (INSIG2) [14]; however, several independent attempts to validate the impact of this variant have been contradictory in their findings [15–19].”
BackgroundResultFranks, P. W., Jablonski, K. A., Delahanty, L. M., McAteer, J. B., Kahn, S. E., Knowler, W. C., & Florez, J. C. (2008) · Diabetologia · doi:10.1007/s00125-008-1158-x · Cited by 106
“Although several subsequent confirmatory analyses were published [11], others found no evidence of association [12–16].”
BackgroundInfluentialA Genome-wide Study Reveals Copy Number Variants Exclusive to Childhood Obesity Cases
Glessner, J., Bradfield, J. P., Wang, K., Takahashi, N., Zhang, H., Abou‐Sleiman, P. M., Mentch, F. D., Kim, C., Hou, C., Thomas, K., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.09.014 · Cited by 105
FTO and MC4R Gene Variants Are Associated with Obesity in Polycystic Ovary Syndrome
Ewens, K. G., Jones, M. R., Ankener, W., Stewart, D. R., Urbanek, M., Dunaif, A. E., Legro, R. S., Chua, A. K., Azziz, R., Spielman, R. S., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016390 · Cited by 105
“A total of 15 SNPs associated with obesity that were genotyped are located in or near FTO (rs1421085, rs17817449, rs8050136, rs9939609 and rs9930506) [9,10,16], GNPDA2 (rs10938397), KCTD15 (rs11084753), MTCH2 (rs10838738), NEGR1 (rs2815752), SH2B1 (rs7498665), TMEM18 (rs6548238) [9], MC4R (rs17782313 and rs12970134) […”
Munawar, N., Ahsan, K., Muhammad, K., Ahmad, A., Anwar, M. A., Shah, I., Ameri, A. A., & Mughairbi, F. A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22147671 · Cited by 107
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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