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Physical Activity and the Association of Common FTO Gene Variants With Body Mass Index and Obesity
Open accessAbstract
BACKGROUND: Common FTO (fat mass and obesity associated) gene variants have recently been associated with body mass index (BMI) and obesity in several large studies. The role of lifestyle factors (such as physical activity) in those with an underlying FTO genetic predisposition is unknown. METHODS: To determine if FTO variants are associated with BMI in Old Order Amish (OOA) individuals, and to further determine whether the detrimental associations of FTO gene variants can be lessened by increased physical activity, a total of 704 healthy OOA adults were selected from the Heredity and Phenotype Intervention (HAPI) Heart Study, an investigation of gene x environment interactions in cardiovascular disease, for whom objective quantified physical activity measurements were available and for whom 92 single-nucleotide polymorphisms (SNPs) in FTO were genotyped. RESULTS: Twenty-six FTO SNPs were associated with BMI (P = .04 to <.001), including rs1477196 (P < .001) and rs1861868 (P < .001), 2 SNPs in moderate linkage disequilibrium in the OOA (D' = 0.82; r(2) = 0.36). Stratified analyses of rs1861868 revealed its association with BMI to be restricted entirely to those subjects with low sex- and age-adjusted physical activity scores (P < .001); in contrast, the SNP had no effect on those with above-average physical activity scores (P = .29), with the genotype x physical activity interaction achieving statistical significance (P = .01). Similar evidence for interaction was also obtained for rs1477196. CONCLUSIONS: Our results strongly suggest that the increased risk of obesity owing to genetic susceptibility by FTO variants can be blunted through physical activity. These findings emphasize the important role of physical activity in public health efforts to combat obesity, particularly in genetically susceptible individuals.
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Cites
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J. C., Fry, B., Maller, J., & Daly, M. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth457 · Cited by 14,551
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Validation of the Insomnia Severity Index as an outcome measure for insomnia research
Bastien, C. (2001) · Sleep Medicine · doi:10.1016/s1389-9457(00)00065-4 · Cited by 8,067
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531
Multipoint Quantitative-Trait Linkage Analysis in General Pedigrees
Almasy, L. A., & Blangero, J. (1998) · The American Journal of Human Genetics · doi:10.1086/301844 · Cited by 3,021
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Fletcher, G. F., Balady, G. J., Amsterdam, E. A., Chaitman, B., Eckel, R., Fleg, J., Froelicher, V. F., Leon, A. S., Piña, I. L., Rodney, R., et al. (2001) · Circulation · doi:10.1161/hc3901.095960 · Cited by 1,923
Score Tests for Association between Traits and Haplotypes when Linkage Phase Is Ambiguous
Schaid, D. J., Rowland, C. M., Tines, D. E., Jacobson, R. M., & Poland, G. A. (2002) · The American Journal of Human Genetics · doi:10.1086/338688 · Cited by 1,777
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Items 101–200 of 297
Richardson, A. S., North, K. E., Graff, M., Young, K. M., Mohlke, K. L., Lange, L. A., Lange, E. M., Harris, K. M., & Gordon‐Larsen, P. (2013) · Pediatric Obesity · doi:10.1111/j.2047-6310.2013.00152.x · Cited by 38
Kaakinen, M., Läärä, E., Pouta, A. M., Hartikainen, A., Laitinen, J. H., Tammelin, T., Herzig, K.-H., Sovio, U., Bennett, A. J., Peltonen, L., et al. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq178 · Cited by 40
The Influence of Obesity-Related Single Nucleotide Polymorphisms on BMI Across the Life Course
Graff, M., Gordon‐Larsen, P., Lim, U., Fowke, J. H., Love, S.-A. M., Fesinmeyer, M. D., Wilkens, L. R., Vertilus, S., Ritchie, M. D., Prentice, R. L., et al. (2013) · Diabetes · doi:10.2337/db12-0863 · Cited by 37
Leońska‐Duniec, A., Jastrzębski, Z., Zarębska, A., Maciejewska, A., Ficek, K., & Cięszczyk, P. (2016) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2016.08.013 · Cited by 42
Chasing Mendel: five questions for personalized medicine
Joyner, M. J., & Prendergast, F. G. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2014.272336 · Cited by 38
The heritable basis of gene–environment interactions in cardiometabolic traits
Poveda, A., Chen, Y., Brändström, A., Engberg, E., Hallmans, G., Johansson, I., Renström, F., Kurbasic, A., & Franks, P. W. (2016) · Diabetologia · doi:10.1007/s00125-016-4184-0 · Cited by 34
Franks, P. W., & Poveda, A. (2017) · Diabetologia · doi:10.1007/s00125-017-4207-5 · Cited by 36
Galbete, C., Contreras, R., Martínez, J. A., Martínez‐González, M. Á., Guillén‐Grima, F., & Martí, A. (2012) · Chronobiology International · doi:10.3109/07420528.2012.728657 · Cited by 35
Bjørnland, T., Langaas, M., Grill, V., & Mostad, I. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175071 · Cited by 35
Liguori, R., Labruna, G., Alfieri, A., Martone, D., Farinaro, E., Contaldo, F., Sacchetti, L., Pasanisi, F., & Buono, P. (2014) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2014.03.004 · Cited by 36
Caruso, V., Bahari, H., & Morris, M. J. (2013) · Journal of Neuroendocrinology · doi:10.1111/jne.12053 · Cited by 35
Putting the Genome in Context: Gene-Environment Interactions in Type 2 Diabetes
Franks, P. W., & Paré, G. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0758-y · Cited by 32
Kalantari, N., Doaei, S., Keshavarz-Mohammadi, N., Gholamalizadeh, M., & Pazan, N. (2016) · Europe PMC (PubMed Central) · Cited by 33
Diet Quality Is Associated with Cardiometabolic Outcomes in Survivors of Childhood Leukemia
Bérard, S., Morel, S., Teasdale, E., Shivappa, N., Hébert, J. R., Laverdière, C., Sinnett, D., Levy, E. H., & Marcil, V. (2020) · Nutrients · doi:10.3390/nu12072137 · Cited by 36
Gene-lifestyle interplay in type 2 diabetes
Franks, P. W., & Merino, J. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.02.001 · Cited by 33
Song, X., Pang, L., Feng, Y., Fan, X., Li, X., Zhang, W., Gao, J., Zhang, J., Nemani, K., Zhang, H., et al. (2014) · Behavioral and Brain Functions · doi:10.1186/1744-9081-10-35 · Cited by 33
Williams, P. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031436 · Cited by 34
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
Elouej, S., Belfki, H., Nagara, M., Lasram, K., Attaoua, R., Sallem, O. K., Kamoun, I., Chargui, M., Romdhane, L., Jamoussi, H., et al. (2016) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2015.0090 · Cited by 30
Zavattari, P., Loche, A., Pilia, S., Ibba, A., Moi, L., Guzzetti, C., Casini, M. R., & Loche, S. (2011) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2011.00674.x · Cited by 30
Emond, J. A., Tovar, A., Li, Z., Lansigan, R. K., & Gilbert‐Diamond, D. (2017) · Appetite · doi:10.1016/j.appet.2017.07.009 · Cited by 29
The Complex Interplay of Genetic and Lifestyle Risk Factors in Type 2 Diabetes: An Overview
Franks, P. W. (2012) · Scientifica · doi:10.6064/2012/482186 · Cited by 30
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
Kalniņa, I., Zaharenko, L., Vaivade, I., Rovīte, V., Ņikitina-Zaķe, L., Pečulis, R., Frīdmanis, D., Geldnere, K., Jacobsson, J. A., Almén, M. S., et al. (2013) · Gene · doi:10.1016/j.gene.2013.06.079 · Cited by 28
Living the Good Life? Mortality and Hospital Utilization Patterns in the Old Order Amish
Mitchell, B. D., Lee, W.-J., Tolea, M. I., Shields, K. S., Ashktorab, Z., Magder, L. S., Ryan, K. A., Pollin, T. I., McArdle, P. F., Shuldiner, A. R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051560 · Cited by 30
Self-citationChanges in VGF and C3aR1 gene expression in human adipose tissue in obesity
Koç, G., Soyocak, A., Alış, H., Kankaya, B., & Kanıgür, G. (2020) · Molecular Biology Reports · doi:10.1007/s11033-020-06043-9 · Cited by 26
Introduction to Personalized Medicine in Diabetes Mellitus
Glauber, H. S., Rishe, N. D., & Karnieli, E. (2014) · Rambam Maimonides Medical Journal · doi:10.5041/rmmj.10136 · Cited by 26
Byrne, E. M., Raheja, U. K., Stephens, S. H., Heath, A. C., Madden, P. A. F., Vaswani, D., Nijjar, G. V., Ryan, K. A., Yousufi, H., Gehrman, P., et al. (2014) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m08981 · Cited by 26
Self-citationA unique genetic defect on chromosome 3 is responsible for juvenile obesity in the Berlin Fat Mouse
Neuschl, C., Hantschel, C., Wagener, A., Schmitt, A. O., Illig, T., & Brockmann, G. A. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.97 · Cited by 26
Obesity Genes and Gene–Environment–Behavior Interactions: Recommendations for a Way Forward
Shuldiner, A. R. (2008) · Obesity · doi:10.1038/oby.2008.523 · Cited by 25
Self-citationThe composite alliance of FTO locus with obesity‐related genetic variants
Chauhdary, Z., Rehman, K., & Akash, M. S. H. (2021) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/1440-1681.13498 · Cited by 24
Behavioral and Environmental Modification of the Genetic Influence on Body Mass Index: A Twin Study
Horn, E. E., Turkheimer, E. N., Strachan, E. D., & Duncan, G. E. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9718-6 · Cited by 24
Schnurr, T. M., Stallknecht, B. M., Sørensen, T. I. A., Kilpeläinen, T. O., & Hansen, T. F. (2020) · Obesity Reviews · doi:10.1111/obr.13182 · Cited by 25
Baik, I., & Shin, C. (2012) · Nutrition Research and Practice · doi:10.4162/nrp.2012.6.1.78 · Cited by 23
Chermon, D., & Birk, R. Z. (2022) · Nutrients · doi:10.3390/nu14194202 · Cited by 27
Kıraç, D., Kaspar, E. Ç., Avcilar, T., ÇAKIR, Ö., Ulucan, K., Kurtel, H., Deyneli, O., & Güney, A. Y. (2015) · Clinical and Experimental Health Sciences · doi:10.5455/musbed.20150602015512 · Cited by 32
Replication of genetic effects of MC4R polymorphisms on body mass index in a Korean population
Sull, J. W., Lee, M., & Jee, S. H. (2013) · Endocrine · doi:10.1007/s12020-013-9909-y · Cited by 24
Muc, M., Padez, C. M. P., & Manco, L. (2015) · American Journal of Human Biology · doi:10.1002/ajhb.22712 · Cited by 25
Sertić, J., Juričić, L., Ljubić, H., Božina, T., Lovrić, J., Markeljević, J., Jelaković, B., Merkler, M., & Reiner, Ž. (2009) · BMC Research Notes · doi:10.1186/1756-0500-2-203 · Cited by 21
Genetic Effects on Postprandial Variations of Inflammatory Markers in Healthy Individuals
Cheng, Y., Kao, W. L., Mitchell, B. D., Sharrett, A. R., Ryan, K. A., Vogel, R. A., Shuldiner, A. R., & Pollin, T. I. (2009) · Obesity · doi:10.1038/oby.2009.416 · Cited by 21
Self-citationAssociation of FTO Mutations with Risk and Survival of Breast Cancer in a Chinese Population
Zeng, X., Ban, Z., Cao, J., Zhang, W., Tianjiao, C., Lei, D., & Du, Y. (2015) · Disease Markers · doi:10.1155/2015/101032 · Cited by 20
Peterson, R. E., MAES, H. H. M., Lin, P., Kramer, J., HESSELBROCK, V. M., Bauer, L. O., Nürnberger, J. I., Edenberg, H. J., Dick, D. M., & Webb, B. T. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-368 · Cited by 22
Kıraç, D., ÇAKIR, Ö., Avcilar, T., Deyneli, O., Kurtel, H., Yazıcı, D., Kaspar, E. Ç., Celik, N., & Güney, A. İ. (2016) · IUBMB Life · doi:10.1002/iub.1558 · Cited by 23
Seasonality of mood and behavior in the Old Order Amish
Raheja, U. K., Stephens, S. H., Mitchell, B. D., Rohan, K. J., Vaswani, D., Balis, T. G., Nijjar, G. V., Sleemi, A., Pollin, T. I., Ryan, K. A., et al. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.10.019 · Cited by 17
Self-citationPhysical activity attenuates genetic effects on BMI : Results from a study of C hinese adult twins
Wang, B., Gao, W., Lv, J., Yu, C., Wang, S., Pang, Z., Cong, L., Dong, Z., Wu, F., Wang, H., et al. (2016) · Obesity · doi:10.1002/oby.21402 · Cited by 17
Zhang, Y.-P., Zhang, Y.-Y., & Duan, D. D. (2016) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2016.02.003 · Cited by 17
Boiko, A. S., Pozhidaev, I. V., Paderina, D. Z., Бочарова, А. В., Mednova, I. A., Fedorenko, O. Y., Kornetova, E. G., LOONEN, A. J. M., Semke, A. V., Bokhan, N. A., et al. (2021) · Pharmacogenomics and Personalized Medicine · doi:10.2147/pgpm.s327353 · Cited by 19
Staub, K., Henneberg, M., Galassi, F. M., Eppenberger, P., Haeusler, M., Морозова, И., Rühli, F. J., & Bender, N. (2018) · Evolution Medicine and Public Health · doi:10.1093/emph/eoy012 · Cited by 18
Akram, F., Gragnoli, C., Raheja, U. K., Snitker, S., Lowry, C. A., Stearns‐Yoder, K. A., Hoisington, A. J., Brenner, L. A., Saunders, E. F. H., Stiller, J. W., et al. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.12.016 · Cited by 16
Self-citationAbdollahi, S., Ardekanizadeh, N. H., Poorhosseini, S. M., Gholamalizadeh, M., Roumi, Z., Goodarzi, M. O., & Doaei, S. (2022) · Advances in Nutrition · doi:10.1093/advances/nmac101 · Cited by 17
Rankinen, T., & Bouchard, C. (2012) · Progress in molecular biology and translational science · doi:10.1016/b978-0-12-398397-8.00017-4 · Cited by 16
Ancestry specific associations of FTO gene variant and metabolic syndrome
Hardy, D. S., Garvin, J. T., Baye, T. M., & Racette, S. B. (2020) · Medicine · doi:10.1097/md.0000000000018820 · Cited by 16
Impact of obesity-related genes in Spanish population
Martínez, F., Mansego, M. L., Rojo‐Martínez, G., de Marco, G., Morcillo, S., Soriguer, F., Redón, J., Alonso, M. P., Martı́n-Escudero, J. C., Cooper, R., et al. (2013) · BMC Genetics · doi:10.1186/1471-2156-14-111 · Cited by 16
Joyner, M. J. (2013) · Physiology · doi:10.1152/physiol.00015.2013 · Cited by 16
Roberts, M. D., Brown, J. D., Toedebusch, R. G., Padilla, J., Jenkins, N. T., Laughlin, M. H., & Booth, F. W. (2012) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00167.2012 · Cited by 15
Lustig, R. H. (2010) · Endocrine updates · doi:10.1007/978-1-4419-7034-3 · Cited by 23
Association between gene polymorphisms and obesity and physical fitness in Korean children
Kim, H. J., Lee, S. Y., & Kim, C. M. (2017) · Biology of Sport · doi:10.5114/biolsport.2018.70748 · Cited by 15
Arya, R., Farook, V. S., Fowler, S. P., Puppala, S., Chittoor, G., Resendez, R. G., Mummidi, S., Vanamala, J., Almasy, L. A., Curran, J. E., et al. (2018) · Genetic Epidemiology · doi:10.1002/gepi.22114 · Cited by 16
The role of FTO genotype on eating behavior in obese Sardinian children and adolescents
Ibba, A., Pilia, S., Zavattari, P., Loche, A., Guzzetti, C., Casini, M. R., Minerba, L., & Loche, S. (2013) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2012-0417 · Cited by 15
Hagberg, J. M. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00153.2011 · Cited by 15
Generating Large-Scale Longitudinal Data Resources for Aging Research
Gallacher, J., & Hofer, S. M. (2011) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbr047 · Cited by 15
Physical activity and gene association with human obesity
Świtała, K., & Leońska‐Duniec, A. (2021) · Baltic Journal of Health and Physical Activity · doi:10.29359/bjhpa.13.4.10 · Cited by 16
Liaw, Y., Liaw, Y., & Lan, T. (2019) · Genes · doi:10.3390/genes10050354 · Cited by 13
Manco, L., Pinho, S., Albuquerque, D., Machado‐Rodrigues, A. M., & Padez, C. M. P. (2019) · American Journal of Human Biology · doi:10.1002/ajhb.23312 · Cited by 13
Farzand, A., Rohin, M. A. K., Awan, S. J., Ahmad, A. M. R., Akram, H., Saleem, T., & Imran, M. (2025) · Life · doi:10.3390/life15111658 · Cited by 14
Association of FTO gene with obesity in Polish schoolchildren
Sitek, A., Rosset, I., Strapagiel, D., Majewska, M., Ostrowska-Nawarycz, L., & Żądzińska, E. (2014) · Anthropological Review · doi:10.2478/anre-2014-0003 · Cited by 12
Leite, L. C. G., dos Santos, M. C., Duarte, N. E., Horimoto, A. R. V. R., Crispim, F., Filho, J. P. B. V., Fabbro, A. L. D., Franco, L. J., & Moisés, R. S. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.102358 · Cited by 12
Almawi, W. Y., Nemr, R., Atazhanova, T., Malalla, Z. H. A., Sarray, S., Mustafa, F. E., & Mahmood, N. (2023) · Reproductive Sciences · doi:10.1007/s43032-022-01149-w · Cited by 11
Asoom, L. I. A., Afandi, D. T. A., Abdulhadi, A. S. A., Rafique, N., Chathoth, S., & Alsunni, A. A. (2020) · International Journal of General Medicine · doi:10.2147/ijgm.s251466 · Cited by 11
Wang, W., Yang, K., Wang, S., Zhang, J., Shi, Y., Zhang, H., Jin, D., Gu, R., Zeng, Q., & Hua, Q. (2021) · European Journal of Sport Science · doi:10.1080/17461391.2021.1976843 · Cited by 11
Johnson, W., Ong, K. K., Elks, C. E., Wareham, N. J., Wong, A., Terrera, G. M., Hardy, R., & teams, O. B. O. T. M. N. S. A. D. C. (2014) · Nutrition and Diabetes · doi:10.1038/nutd.2014.33 · Cited by 10
Wu, Z., Yang, Y., & Qiu, G. (2013) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2013.0225 · Cited by 11
Choi, J., Wen, W., Jia, G., Tao, R., Long, J., Shu, X., & Zheng, W. (2024) · Preventive Medicine · doi:10.1016/j.ypmed.2024.107886 · Cited by 10
Rethinking Our Public Health Genetics Research Paradigm
El‐Sayed, A. M., Koenen, K. C., & Galea, S. (2013) · American Journal of Public Health · doi:10.2105/ajph.2012.301127 · Cited by 10
Labayen, I., Ruiz, J. R., Ortega, F. B., Gottrand, F., Huybrechts, I., Dallongeville, J., Widhalm, K., Ferrari, M., Buyken, A. E., Kersting, M., et al. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114511004600 · Cited by 10
Mitchell, B. D., Kalra, G., Ryan, K. A., Zhang, M., Sztalryd, C., Steinle, N., Taylor, S. I., Snitker, S., Lewis, J. P., Miller, M. J., et al. (2018) · Journal of clinical lipidology · doi:10.1016/j.jacl.2018.11.006 · Cited by 10
Self-citationCelis-Morales, C. A., Lyall, D. M., Bailey, M. E. S., Petermann-Rocha, F. E., Anderson, J. J., Ward, J., Mackay, D., Welsh, P. I., Pell, J. P., Sattar, N. A., et al. (2019) · Obesity · doi:10.1002/oby.22417 · Cited by 10
Survivors of acute lymphoblastic leukemia and body mass changes
Skoczeń, S., Surmiak, M., & Strojny, W. (2009) · Expert Opinion on Drug Safety · doi:10.1517/14740330903410213 · Cited by 10
Mier‐Mota, J., Ponce‐González, J. G., Pérez‐Bey, A., Cabanas‐Sánchez, V., Veiga‐Núñez, O., Santiago, C., Gómez‐Gallego, F., & Castro‐Piñero, J. (2023) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14469 · Cited by 9
Salimi, S., Yanosky, J. D., Huang, D., Montresor-López, J., Vogel, R. A., Reed, R. M., Mitchell, B. D., & Puett, R. C. (2020) · Environmental Health · doi:10.1186/s12940-020-00593-y · Cited by 9
Self-citationThe Genetic Determinants of Common Obesity-Susceptibility
Loos, R. J. F. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0965-6_10 · Cited by 9
Gene-Lifestyle Interactions and Their Consequences on Human Health
Pomeroy, J. J., derberg, A. M. S. O., & Franks, P. W. (2009) · Medicine and sport science/Medicine and sport · doi:10.1159/000235700 · Cited by 9
Cohen‐Cline, H., Lau, R., Moudon, A. V., Turkheimer, E. N., & Duncan, G. E. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.33 · Cited by 9
Studying Gene–Behavior Interactions: Summary of Recommendations
Bouchard, C., & Agurs‐Collins, T. (2008) · Obesity · doi:10.1038/oby.2008.525 · Cited by 9
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Kim, H., Jin, H., & Eom, Y. (2021) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.1635 · Cited by 9
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Metadata
- Authors
- Rampersaud, E., Mitchell, B. D., Pollin, T. I., Fu, M., Shen, H., O’Connell, J. R., Ducharme, J. L., Hines, S., Sack, P., Naglieri, R., Shuldiner, A. R., & Snitker, S.
- Affiliations
- University of Maryland, Baltimore (US)
- ORCID
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2008-09-08
- Volume
- 168
- Issue
- 16
- Pages
- 1791
- ISSN
- 0003-9926 (ISSN-L)
- PMC
- PMC3635949
- OpenAlex
- W2010505352
- Cited by
- 299
- References
- 31
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 11 · 2023: 7 · 2022: 8 · 2021: 9 · 2020: 14 · 2019: 6 · 2018: 7 · 2017: 15 · 2016: 23 · 2015: 12 · 2014: 13 · 2013: 24 · 2012: 30
- FWCI
- 20.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Archives of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (T32HL072751, U01HL072515)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK072488)
- National Center for Research Resources (M01RR016500, M01RR000052, M01RR 16500)
- 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
- FTO, fat mass and obesity-associated gene, single nucleotide polymorphisms, body mass index, obesity, physical activity, gene-environment interaction, genetic susceptibility, Old Order Amish, linkage disequilibrium, cardiovascular disease
- MeSH terms
- Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Adult, Female, Genotype, Humans, Male, Middle Aged, Motor Activity, Obesity, Proteins, Risk Factors, Body Mass Index, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
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