Exposing the exposures responsible for type 2 diabetes and obesity
Abstract
The rising prevalences of type 2 diabetes and obesity constitute major threats to human health globally. Powerful social and economic factors influence the distribution of these diseases among and within populations. These factors act on a substrate of individual predisposition derived from the composite effects of inherited DNA variation and a range of environmental exposures experienced throughout the life course. Although “Western” lifestyle represents a convenient catch-all culprit for such exposures, effective treatment and prevention will be informed by characterization of the most critical, causal environmental factors. In this Review, we examine how burgeoning understanding of the genetic basis of type 2 diabetes and obesity can highlight nongenetic exposures that drive development of these conditions.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Human genetics has a unique potential for causal inference.
“Human genetics will also, given its unique potential for causal inference, support identification of the non-genetic risk factors (often modifiable) that directly contribute to disease predisposition and development165.”
From A brief history of human disease genetics (2020) · cites this paper as [165]
Cites
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762 · see citing works
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534 · see citing works
Self-citationHuman Genetics Shape the Gut Microbiome
Goodrich, J. K., Waters, J. L., Poole, A. C., Sutter, J. L., Koren, O., Blekhman, R., Beaumont, M., Van Treuren, W., Knight, R., Bell, J. T., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.053 · Cited by 3,164 · see citing works
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115 · see citing works
Diabetes Prevention Program Research Group (2009) · The Lancet · doi:10.1016/s0140-6736(09)61457-4 · Cited by 3,020 · see citing works
Personalized nutrition by prediction of glycemic responses
Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., Ben-Yacov, O., Lador, D., Avnit-Sagi, T., Lotan-Pompan, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.001 · Cited by 2,929 · see citing works
Vrieze, A., Van Nood, E., Holleman, F., Salojärvi, J., Kootte, R. S., Bartelsman, J. F. W. M., Dallinga–Thie, G. M., Ackermans, M. T., Serlie, M. J., Oozeer, R., et al. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.06.031 · Cited by 2,913 · see citing works
Population-level analysis of gut microbiome variation
Falony, G., Joossens, M., Vieira-Silva, S., Wang, J., Darzi, Y., Faust, K., Kurilshikov, A., Bonder, M. J., Valles-Colomer, M., Vandeputte, D., et al. (2016) · Science · doi:10.1126/science.aad3503 · Cited by 2,400 · see citing works
Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota
MetaHIT consortium, Forslund, K., Hildebrand, F., Nielsen, T., Falony, G., Le Chatelier, E., Sunagawa, S., Prifti, E., Vieira-Silva, S., Gudmundsdottir, V., et al. (2015) · Nature · doi:10.1038/nature15766 · Cited by 2,116 · see citing works
Comparison of Weight-Loss Diets with Different Compositions of Fat, Protein, and Carbohydrates
Sacks, F. M., Bray, G. A., Carey, V. J., Smith, S. R., Ryan, D. H., Anton, S. D., McManus, K., Champagne, C. M., Bishop, L. M., Laranjo, N., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0804748 · Cited by 1,966 · see citing works
Cox, L. M., Yamanishi, S., Sohn, J., Alekseyenko, A. V., Leung, J. M., Cho, I., Kim, S. G., Li, H., Gao, Z., Mahana, D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.052 · Cited by 1,859 · see citing works
<i>FTO</i> Obesity Variant Circuitry and Adipocyte Browning in Humans
Claussnitzer, M., Dankel, S. N., Kim, K.-H., Quon, G., Meuleman, W., Haugen, C., Glunk, V., Sousa, I. S., Beaudry, J. L., Puviindran, V., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1502214 · Cited by 1,332 · see citing works
The Response to Long-Term Overfeeding in Identical Twins
Bouchard, C., Tremblay, A., Després, J.-P., Nadeau, A., Lupien, P. J., Thériault, G., Dussault, J., Moorjani, S., Pinault, S., & Fournier, G. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005243222101 · Cited by 1,278 · see citing works
The genetic architecture of type 2 diabetes
Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature · doi:10.1038/nature18642 · Cited by 1,051 · see citing works
Self-citationVimaleswaran, K. S., Berry, D. J., Lu, C., Tikkanen, E., Pilz, S., Hiraki, L. T., Cooper, J. D., Dastani, Z., Li, R., Houston, D. K., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001383 · Cited by 1,046 · see citing works
Self-citationDIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics · doi:10.1038/ng.2897 · Cited by 1,034 · see citing works
Self-citationIndividual differences in response to regular physical activity
BOUCHARD, C., & RANKINEN, T. (2001) · Medicine and Science in Sports and Exercise · doi:10.1097/00005768-200106001-00013 · Cited by 939 · see citing works
Hattersley, A. T., & Tooke, J. E. (1999) · The Lancet · doi:10.1016/s0140-6736(98)07546-1 · Cited by 909 · see citing works
DNA methylation and body-mass index: a genome-wide analysis
Dick, K. J., Nelson, C. P., Tsaprouni, L., Sandling, J. K., Aïssi, D., Wahl, S., Meduri, E., Morange, P.-E., Gagnon, F., Grallert, H., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62674-4 · Cited by 778 · see citing works
Study, T. L. C., Yang, J., Bakshi, A., Zhu, Z., Hemani, G., Vinkhuyzen, A. A. E., Lee, S. H., Robinson, M. R., Perry, J. R. B., Nolte, I. M., et al. (2015) · Nature Genetics · doi:10.1038/ng.3390 · Cited by 745 · see citing works
Putative contributors to the secular increase in obesity: exploring the roads less traveled
Keith, S. W., Redden, D. T., Katzmarzyk, P. T., Boggiano, M. M., Hanlon, E. C., Benca, R. M., Ruden, D. M., Pietrobelli, A., Barger, J. L., Fontaine, K. R., et al. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803326 · Cited by 633 · see citing works
Sugar-Sweetened Beverages and Genetic Risk of Obesity
Qi, Q., Chu, A. Y., Kang, J., Jensen, M. K., Curhan, G. C., Pasquale, L. R., Ridker, P. M., Hunter, D. J., Willett, W. C., Rimm, E. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203039 · Cited by 599 · see citing works
Kilpeläinen, T. O., Qi, L., Brage, S., Sharp, S. J., Sonestedt, E., Demerath, E. W., Ahmad, T., Mora, S., Kaakinen, M., Sandholt, C. H., et al. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001116 · Cited by 559 · see citing works
Ussar, S., Griffin, N. W., Bézy, O., Fujisaka, S., Vienberg, S. G., Softic, S., Deng, L., Bry, L., Gordon, J. I., & Kahn, C. R. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.07.007 · Cited by 529 · see citing works
Chambers, J. C., Loh, M. C. S., Lehne, B. C., Drong, A., Kriebel, J., Motta, V., Wahl, S., Elliott, H. R., Rota, F., Scott, W. R., et al. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00127-8 · Cited by 511 · see citing works
Self-citationGreenlandic Inuit show genetic signatures of diet and climate adaptation
Fumagalli, M., Moltke, I., Grarup, N., Racimo, F., Bjerregaard, P., Jørgensen, M. E., Korneliussen, T. S., Gerbault, P., Skotte, L., Linneberg, A. R., et al. (2015) · Science · doi:10.1126/science.aab2319 · Cited by 509 · see citing works
TXNIP regulates peripheral glucose metabolism in humans
Parikh, H., Carlsson, E., Chutkow, W. A., Johansson, L. E., Storgaard, H., Poulsen, P., Saxena, R., Ladd, C., Schulze, P. C., Mazzini, M. J., et al. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040158 · Cited by 495 · see citing works
Developmental origins of metabolic disease: Life course and intergenerational perspectives
Godfrey, K. M., Gluckman, P. D., & Hanson, M. A. (2010) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2009.12.008 · Cited by 485 · see citing works
A common Greenlandic TBC1D4 variant confers muscle insulin resistance and type 2 diabetes
Moltke, I., Grarup, N., Jørgensen, M. E., Bjerregaard, P., Treebak, J. T., Fumagalli, M., Korneliussen, T. S., Andersen, M. A., Nielsen, T. S., Krarup, N. T., et al. (2014) · Nature · doi:10.1038/nature13425 · Cited by 418 · see citing works
Jones, S. E., Tyrrell, J., Wood, A. R., Beaumont, R. N., Ruth, K. S., Tuke, M. A., Yaghootkar, H., Hu, Y., Teder-Laving, M., Hayward, C., et al. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006125 · Cited by 388 · see citing works
Exercise or exercise and diet for preventing type 2 diabetes mellitus
Orozco, L. J., Buchleitner, A. M., Giménez‐Pérez, G., Figuls, M. R. I., Richter, B., & Mauricio, D. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003054.pub3 · Cited by 327 · see citing works
Pallejá, A., Kashani, A., Allin, K. H., Nielsen, T., Zhang, C., Li, Y., Brach, T., Liang, S., Feng, Q., Jørgensen, N. B., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0312-1 · Cited by 312 · see citing works
The Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Horikoshi, M., Early Growth Genetics (EGG) Consortium, Yaghootkar, H., Mook-Kanamori, D. O., Sovio, U., Taal, H. R., Hennig, B. J., Bradfield, J. P., St Pourcain, B., et al. (2013) · Nature Genetics · doi:10.1038/ng.2477 · Cited by 309 · see citing works
Qi, Q., Chu, A. Y., Kang, J. H., Huang, J., Rose, L. M., Jensen, M. K., Liang, L., Curhan, G. C., Pasquale, L. R., Wiggs, J. L., et al. (2014) · BMJ · doi:10.1136/bmj.g1610 · Cited by 303 · see citing works
Endurance training does not enhance total energy expenditure in healthy elderly persons
Goran, M. I., & Poehlman, É. T. (1992) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1992.263.5.e950 · Cited by 276 · see citing works
Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study
Langenberg, C., Sharp, S. J., Franks, P. W., Scott, R. A., Deloukas, P., Forouhi, N. G., Froguel, P., Groop, L., Hansen, T. F., Palla, L., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001647 · Cited by 233 · see citing works
Self-citationTanaka, T., Ngwa, J. S., van Rooij, F. J., Zillikens, M. C., Wojczynski, M. K., Frazier-Wood, A. C., Houston, D. K., Kanoni, S., Lemaitre, R. N., Luan, J., et al. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.052183 · Cited by 226 · see citing works
Self-citationQian, F., Korat, A. A., Malik, V., & Hu, F. B. (2016) · Diabetes Care · doi:10.2337/dc16-0513 · Cited by 222 · see citing works
Hivert, M.-F., Jablonski, K. A., Perreault, L., Saxena, R., McAteer, J. B., Franks, P. W., Hamman, R. F., Kahn, S. E., Haffner, S., the DIAGRAM Consortium, et al. (2011) · Diabetes · doi:10.2337/db10-1119 · Cited by 191 · see citing works
Self-citationTrim28 Haploinsufficiency Triggers Bi-stable Epigenetic Obesity
Dalgaard, K., Landgraf, K., Heyne, S., Lempradl, A., Longinotto, J., Gossens, K., Ruf, M., Orthofer, M., Strogantsev, R., Selvaraj, M., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.025 · Cited by 190 · see citing works
Ye, Z., Sharp, S. J., Burgess, S., Scott, R. A., Imamura, F., Langenberg, C., Wareham, N. J., & Forouhi, N. G. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70184-6 · Cited by 189 · see citing works
Willemsen, G. A. H. M., Ward, K. J., Bell, C. G., Christensen, K., Bowden, J. L., Dalgård, C., Harris, J. R., Kaprio, J. A., Lyle, R., Magnusson, P. K. E., et al. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.83 · Cited by 184 · see citing works
Ahmad, S., Rukh, G., Varga, T. V., Ali, A., Kurbasic, A., Shungin, D., Ericson, U., Koivula, R. W., Chu, A. Y., Rose, L. M., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003607 · Cited by 182 · see citing works
Self-citationFTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals
Qi, Q., Kilpeläinen, T. O., Downer, M. K., Tanaka, T., Smith, C. E., Sluijs, I., Sonestedt, E., Chu, A. Y., Renström, F., Lin, X., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu411 · Cited by 167 · see citing works
Self-citationEvaluating empirical bounds on complex disease genetic architecture
Agarwala, V., Flannick, J. A., Sunyaev, S. R., & Altshuler, D. (2013) · Nature Genetics · doi:10.1038/ng.2804 · Cited by 143 · see citing works
Qi, Q., Li, Y., Chomistek, A. K., Kang, J. H., Curhan, G. C., Pasquale, L. R., Willett, W. C., Rimm, E. B., Hu, F. B., & Qi, L. (2012) · Circulation · doi:10.1161/circulationaha.112.098061 · Cited by 134 · see citing works
Effect of 1 alpha (OH)-vitamin D3 on insulin secretion in diabetes mellitus.
Inomata, S., Kadowaki, S., Yamatani, T., Fukase, M., & Fujita, T. (1986) · PubMed · Cited by 119 · see citing works
Krul-Poel, Y. H. M., Westra, S., ten Boekel, E., ter Wee, M. M., van Schoor, N. M., van Wijland, H., Stam, F., Lips, P. T. A. M., & Şimşek, S. (2015) · Diabetes Care · doi:10.2337/dc15-0323 · Cited by 113 · see citing works
Strengthening causal inference in cardiovascular epidemiology through Mendelian randomization
Smith, G. D., Timpson, N. J., & Ebrahim, S. B. J. (2008) · Annals of Medicine · doi:10.1080/07853890802010709 · Cited by 112 · see citing works
Unravelling the complex mechanisms of transgenerational epigenetic inheritance
Blake, G. E. T., & Watson, E. D. (2016) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2016.06.008 · Cited by 105 · see citing works
Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry
Nettleton, J. A., Follis, J. L., Ngwa, J. S., Smith, C. E., Ahmad, S., Tanaka, T., Wojczynski, M. K., Voortman, T., Lemaître, R. N., Kristiansson, K., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv186 · Cited by 102 · see citing works
Self-citationInference of the Genetic Architecture Underlying BMI and Height with the Use of 20,240 Sibling Pairs
Hemani, G., Yang, J., Vinkhuyzen, A. A. E., Powell, J. E., Willemsen, G. A. H. M., Hottenga, J., Abdellaoui, A., Mangino, M., Valdes, A. M., Medland, S. E., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.005 · Cited by 101 · see citing works
Exercise or exercise and diet for preventing type 2 diabetes mellitus
Orozco, L., Mauricio, D., Giménez‐Pérez, G., & Figuls, M. R. I. (2007) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003054.pub2 · Cited by 97 · see citing works
Association Between Maternal Diabetes in Utero and Age at Offspring's Diagnosis of Type 2 Diabetes
Pettitt, D. J., Lawrence, J. M., Beyer, J., Hillier, T. A., Liese, A. D., Mayer-Davis, B., Loots, B., Imperatore, G., Liu, L. L., Dolan, L. M., et al. (2008) · Diabetes Care · doi:10.2337/dc08-0769 · Cited by 94 · see citing works
Food Preference Patterns in a UK Twin Cohort
Pallister, T., Sharafi, M., Lachance, G., Pirastu, N., Mohney, R. P., MacGregor, A. J., Feskens, E. J. M., Duffy, V. B., Spector, T. D., & Menni, C. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.69 · Cited by 90 · see citing works
Papandonatos, G. D., Pan, Q., Pajewski, N. M., Delahanty, L. M., Peter, I., Erar, B., Ahmad, S., Harden, M., Chen, L., Fontanillas, P., et al. (2015) · Diabetes · doi:10.2337/db15-0441 · Cited by 88 · see citing works
Self-citationParental diabetes and birthweight in 236 030 individuals in the UK Biobank Study
Tyrrell, J., Yaghootkar, H., Freathy, R. M., Hattersley, A. T., & Frayling, T. M. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt220 · Cited by 73 · see citing works
Estimation of magnitude in gene–environment interactions in the presence of measurement error
Wong, M. Y., Day, N., Luan, J., & Wareham, N. J. (2004) · Statistics in Medicine · doi:10.1002/sim.1662 · Cited by 71 · see citing works
Challenges in the Use of Literature-based Meta-Analysis to Examine Gene-Environment Interactions
Palla, L., Higgins, J. P. T., Wareham, N. J., & Sharp, S. J. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq051 · Cited by 52 · see citing works
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 33 · see citing works
Self-citationGene × 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 30 · see citing works
Self-citationNæss, Ø., Stoltenberg, C., Hoff, D. A., Nystad, W., Magnus, P. M., Tverdal, A., & Smith, G. D. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs298 · Cited by 30 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Global aetiology and epidemiology of type 2 diabetes mellitus and its complications
Zheng, Y., Ley, S. H., & Hu, F. B. (2018) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.151 · Cited by 5,697 · see citing works
Obesity and cardiovascular disease: a scientific statement from the American Heart Association
Powell-Wiley, T. M., Poirier, P., Burke, L. E., Després, J.-P., Gordon-Larsen, P., Lavie, C. J., Lear, S. A., Ndumele, C. E., Neeland, I. J., Sanders, P., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000973 · Cited by 3,691 · see citing works
A brief history of human disease genetics
Claussnitzer, M., Cho, J. H., Collins, R., Cox, N. J., Dermitzakis, E. T., Hurles, M. E., Kathiresan, S., Kenny, E. E., Lindgren, C. M., MacArthur, D. G., et al. (2020) · Nature · doi:10.1038/s41586-019-1879-7 · Cited by 697 · see citing works
Self-citationThe IBD interactome: an integrated view of aetiology, pathogenesis and therapy
de Souza, H. S. P., Fiocchi, C., & Iliopoulos, D. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.110 · Cited by 447 · see citing works
Vegetarian diet, change in dietary patterns, and diabetes risk: A prospective study
Chiu, T. H. T., Pan, W.-H., Lin, M.-N., & Lin, C.-L. (2018) · Nutrition & Diabetes · doi:10.1038/s41387-018-0022-4 · Cited by 116 · see citing works
Corezola do Amaral, M. E., Kravets, V., Dwulet, J. M., Farnsworth, N. L., Piscopio, R., Schleicher, W. E., Miranda, J. G., & Benninger, R. K. P. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00132.2020 · Cited by 41 · see citing works
Valero-Pérez, M., Bermejo, L. M., López-Plaza, B., García, M. A., Palma-Milla, S., & Gómez-Candela, C. (2020) · Nutrients · doi:10.3390/nu12071960 · Cited by 10 · see citing works
- Authors
- Franks, P. W., & McCarthy, M. I.
- Affiliations
- Harvard University (US)
- Centre for Human Genetics (GB)
- Corresponding author
- McCarthy, Mark I.
- Venue
- Science
- Published
- 2016-10-07
- Volume
- 354
- Issue
- 6308
- Pages
- 69-73
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2527803868
- Cited by
- 265
- References
- 62
- Citations by year
- 2026: 10 · 2025: 24 · 2024: 29 · 2023: 24 · 2022: 39 · 2021: 26 · 2020: 27 · 2019: 26 · 2018: 31 · 2017: 29
- FWCI
- 3.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Funders
- Wellcome Trust (98381)
- Medical Research Council (MR/L020149/1, MR/M004422/1)
- National Institutes of Health (DK098032, DK105535)
- European Commission (HEALTH-F4-2007-201413, CoG-2015_681742_NASCENT, IMI_JU_2010_DIRECT, IMI_JU_2016_RHAPSODY)
- Swedish Research Council
- Swedish Heart-Lung Foundation
- Swedish Diabetes Association
- European Foundation for the Study of Diabetes
- Novo Nordisk Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Keywords
- type 2 diabetes, obesity, environmental exposure, genetic susceptibility, Western lifestyle, life course, social determinants of health, causal factors, disease prevention, epigenetics
- MeSH terms
- Diabetes Mellitus, Type 2, Diet, Energy Metabolism, Environmental Exposure, Humans, Life Style, Obesity, Gene-Environment Interaction, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review