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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
Open accessAbstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
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“These LD differences in turn drive differences in effect size estimates (i.e. predictors) from GWAS across populations in proportion to LD between tagging and causal SNP pairs, even when causal effects are the same35,37–40 (Supplementary Note).”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [38]
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“2) linkage disequilibrium (LD) differentiates marginal effect size estimates for polygenic traits across populations, even when causal variants are the same;”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [38]
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Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Self-citationGenetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
SIFT: predicting amino acid changes that affect protein function
Ng, P. C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg509 · Cited by 6,601
Self-citationA second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
Self-citationGenomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.686 · Cited by 2,912
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Wang, Y., Guga, S., Wu, K., Khaw, Z., Tzoumkas, K., Tombleson, P., Comeau, M. E., Langefeld, C. D., Graham, D. S. C., Morris, D. L., et al. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010253 · Cited by 21
Meidtner, K., Podmore, C., Kröger, J., van der Schouw, Y. T., Bendinelli, B., Agnoli, C., Arriola, L., Barricarte, A., Boeing, H., Cross, A. J., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1080 · Cited by 22
Self-citationGhanbari, M., Peters, M. J., de Vries, P. S., Boer, C. G., van Rooij, J., Lee, Y., Kumar, V., Uitterlinden, A. G., Ikram, M. A., Wijmenga, C., et al. (2018) · Journal of Human Genetics · doi:10.1038/s10038-017-0403-x · Cited by 20
Self-citationInaishi, J., Hirakawa, Y., Horikoshi, M., Akiyama, M., Higashioka, M., Yoshinari, M., Hata, J., Mukai, N., Kamatani, Y., Momozawa, Y., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01782 · Cited by 20
Self-citationShared genetic underpinnings of childhood obesity and adult cardiometabolic diseases
Ayele, F. T., Lee, A. J., Workalemahu, T., & Sanchez-Pozos, K. A. (2019) · Human Genomics · doi:10.1186/s40246-019-0202-x · Cited by 19
Wang, X., Jia, J., & Huang, T. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001140 · Cited by 20
Self-citationSi, S., Li, J., Tewara, M. A., Li, H., Liu, X., Li, Y., Chen, X., Liu, C., Yuan, T., Li, W., et al. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01576-7 · Cited by 19
Self-citationLiu, T., Lu, H.-F., Chen, Y.-C., Liao, C., Lin, Y., Yang, J., Liao, W., Lin, W.-D., Chen, S., Huang, Y.-C., et al. (2025) · Science Advances · doi:10.1126/sciadv.adt0539 · Cited by 22
Self-citationCao, Y., Widyahening, I. S., Sun, X., & Li, S. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70060 · Cited by 23
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McCarthy, M. I. (2015) · Diabetologia · doi:10.1007/s00125-015-3588-6 · Cited by 20
Self-citationChen, L., Fan, Z., Sun, X., Qiu, W., Chen, Y., Zhou, J., & Lv, G. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.891410 · Cited by 20
Self-citationRamos-Levi, A. M., Barabash, A., Valerio, J., de la Torre, N. G., Mendizabal, L., Zulueta, M., de Miguel, M. P., Diaz, A., Durán, A., Familiar, C., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1036088 · Cited by 21
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Shi, J., & Lee, S. (2016) · Biometrics · doi:10.1111/biom.12481 · Cited by 17
Nair, A. K., Piaggi, P., McLean, N. A., Kaur, M., Kobes, S., Knowler, W. C., Bogardus, C., Hanson, R. L., & Baier, L. J. (2015) · Diabetologia · doi:10.1007/s00125-015-3835-x · Cited by 19
Exploring the Major Sources and Extent of Heterogeneity in a Genome‐Wide Association Meta‐Analysis
Pei, Y., Tian, Q., Zhang, L., & Deng, H. (2015) · Annals of Human Genetics · doi:10.1111/ahg.12143 · Cited by 19
Ohi, K., Kikuchi, M., Ikeda, M., Yamamori, H., Yasuda, Y., Fujimoto, M., Fujino, H., Miura, K., Fukunaga, M., Nakaya, A., et al. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.04.009 · Cited by 19
Chikowore, T., van Zyl, T., Feskens, E. J. M., & Conradie, K. R. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.09.019 · Cited by 19
Advancing psychiatric genetics through dissecting heterogeneity
Hodgson, K., McGuffin, P., & Lewis, C. M. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx241 · Cited by 19
Xia, Q., Lu, S., Ostrovsky, J., McCormack, S. E., Falk, M. J., & Grant, S. F. A. (2018) · Aging and Disease · doi:10.14336/ad.2017.0230 · Cited by 20
Pathophysiology of Type 2 Diabetes in Koreans
Kwak, S. H., & Park, K. S. (2018) · Endocrinology and Metabolism · doi:10.3803/enm.2018.33.1.9 · Cited by 23
Self-citationRozenberg, K., & Rosenzweig, T. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196736 · Cited by 20
Caro-Gomez, M. A., Naranjo-González, C. A., Gallego-Lopera, N., Parra, M. V., Valencia, D. M., Arcos, E. G., Perrasse, A. V., & Bedoya‐Berrío, G. (2018) · Gene · doi:10.1016/j.gene.2018.07.066 · Cited by 21
Beysel, S., Eyerci, N., Pınarlı, F. A., Kızılgül, M., Özçelik, Ö., Çalışkan, M., & Çakal, E. (2019) · BMC Endocrine Disorders · doi:10.1186/s12902-019-0375-2 · Cited by 19
Sanghera, D. K., Hopkins, R., Malone-Perez, M. W., Bejar, C., Tan, C., Mussa, H. J., Whitby, P. W., Fowler, B., Rao, C. V., Fung, K.-M. A., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211661 · Cited by 19
Self-citationDashti, H. S., Vetter, C., Lane, J. M., Smith, M. C., Wood, A. R., Weedon, M. N., Rutter, M. K., Garaulet, M., Scheer, F. A. J. L., & Saxena, R. (2019) · Diabetes · doi:10.2337/db19-0606 · Cited by 19
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Momozawa, Y., Merveille, A., Battaille, G., Wiberg, M. E., Koch, J., Willesen, J. L., Proschowsky, H. F., Gouni, V., Chetboul, V., Tiret, L., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-63457-y · Cited by 18
Mapping the genetic basis of diabetes mellitus in the Australian Burmese cat (Felis catus)
Samaha, G., Wade, C. M., Beatty, J. A., Lyons, L. A., Fleeman, L. M., & Haase, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-76166-3 · Cited by 25
Thomas, N. J., Dennis, J., Sharp, S. A., Kaur, A., Misra, S., Walkey, H. C., Johnston, D. G., Oliver, N. S., Hagopian, W., Weedon, M. N., et al. (2021) · Diabetologia · doi:10.1007/s00125-021-05513-4 · Cited by 19
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Grinder-Hansen, L., Ribel‐Madsen, R., Wojtaszewski, J. F. P., Poulsen, P., Grunnet, L. G., & Vaag, A. A. (2016) · Diabetes & Metabolism · doi:10.1016/j.diabet.2016.03.003 · Cited by 19
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Kahraman, S., Okawa, E. R., & Kulkarni, R. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0764-0 · Cited by 16
Jansen, H., Lieb, W., & Schunkert, H. (2016) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-016-6640-y · Cited by 19
Takei, R., Cadzow, M. J., Markie, D., Bixley, M., Phipps‐Green, A. J., Major, T. J., Li, C., Choi, H. K., Li, Z., Hu, H., et al. (2020) · Journal of Human Genetics · doi:10.1038/s10038-020-0821-z · Cited by 18
Evolutionary forces in diabetes and hypertension pathogenesis in Africans
Meeks, K. A. C., Bentley, A. R., Adeyemo, A., & Rotimi, C. N. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddaa238 · Cited by 19
Zaytseva, O. O., Sharapov, S., Perola, M., Esko, T., Landini, A., Hayward, C., Wilson, J. F., Lauc, G., Aulchenko, Y. S., Klarić, L., et al. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab335 · Cited by 19
Self-citationArl15 upregulates the TGFβ family signaling by promoting the assembly of the Smad-complex
Shi, M., Tie, H. C., Mahajan, D., Sun, X., Zhou, Y., Boh, B. K., Vardy, L. A., & Lü, L. (2022) · eLife · doi:10.7554/elife.76146 · Cited by 18
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Liu, J., Wang, L., Cui, X., Shen, Q., Wu, D., Yang, M. L., Dong, Y., Liu, Y., Chen, H., Yang, Z., et al. (2023) · Nutrients · doi:10.3390/nu15092144 · Cited by 18
Self-citationYan, J. Y., Hu, C., Jiang, F., Zhang, R., Wang, J., Tang, S., Peng, D., Chen, M., Bao, Y., & Jia, W. (2014) · Diabetic Medicine · doi:10.1111/dme.12587 · Cited by 18
Self-citationIbrahim, A. T., Hussain, A. A., Salih, M. A. M., Ibrahim, O. A., Jamieson, S. E., Ibrahim, M. E., Blackwell, J. M., & Mohamed, H. S. (2015) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/s40200-016-0225-y · Cited by 18
Pitkänen, N., Juonala, M., Rönnemaa, T., Sabin, M. A., Hutri‐Kähönen, N., Kähönen, M. A. P., Lehtimäki, T. J., Viikari, J. S. A., & Raitakari, O. T. (2016) · Diabetes Care · doi:10.2337/dc16-0167 · Cited by 19
Lau, W., Andrew, T., & Maniatis, N. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.007 · Cited by 18
Jiang, C., Jen, W., Tsao, C.-Y., Chang, L.-C., Chen, C.-H., & Lee, Y. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008823 · Cited by 18
Self-citationMiranda‐Lora, A. L., Vilchis‐Gil, J., Juárez-Comboni, D. B., Cruz, M., & Klünder‐Klünder, M. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.647864 · Cited by 19
Self-citationMolina-Ayala, M., Rodríguez-Amador, V., Suárez‐Sánchez, R., León-Solís, L. E., Gómez-Zamudio, J. H., Mendoza‐Zubieta, V., Cruz, M., & Suárez‐Sánchez, F. (2022) · Gene · doi:10.1016/j.gene.2021.146181 · Cited by 20
Self-citationMatsuba, R., Sakai, K., Imamura, M., Tanaka, Y., Iwata, M., Hirose, H., Kaku, K., Maegawa, H., Watada, H., Tobe, K., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126363 · Cited by 18
Self-citationCommon germline variants within the CDKN2A/2B region affect risk of pancreatic neuroendocrine tumors
Campa, D., Capurso, G., Pastore, M., Talar‐Wojnarowska, R., Milanetto, A. C., Landoni, L., Maiello, E., Lawlor, R. T., Malecka-Panas, E. I., Funel, N., et al. (2016) · Scientific Reports · doi:10.1038/srep39565 · Cited by 18
Gao, G., Pierce, B. L., Olopade, O. I., Im, H. K., & Huo, D. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006727 · Cited by 18
Chen, R., Yang, Z., Liu, J., Cai, X. M., Huo, Y., Zhang, Z., Li, M., Chang, H., & Luo, X. (2022) · Genome Medicine · doi:10.1186/s13073-022-01057-3 · Cited by 20
Self-citationThe genetic and evolutionary basis of gene expression variation in East Africans
Kelly, D. E., Ramdas, S., Ma, R., Rawlings-Goss, R., Grant, G. R., Ranciaro, A., Hirbo, J. B., Beggs, W. R., Yeager, M., Chanock, S. J., et al. (2023) · Genome biology · doi:10.1186/s13059-023-02874-4 · Cited by 18
Self-citationWei, L., Gao, J., Wang, L., Tao, Q., & Tu, C. (2023) · Human Molecular Genetics · doi:10.1093/hmg/ddad166 · Cited by 19
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Prone-Olazábal, D., Davies, I. G., & González-Galarza, F. F. (2023) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2023.0125 · Cited by 19
Locke, J. M., Wei, F., Tomizawa, K., Weedon, M. N., & Harries, L. W. (2015) · Diabetologia · doi:10.1007/s00125-015-3508-9 · Cited by 17
Goto, A., Noda, M., Goto, M., Yasuda, K., Mizoue, T., Yamaji, T., Sawada, N., Iwasaki, M., Inoue, M., Tsugane, S., et al. (2018) · Diabetic Medicine · doi:10.1111/dme.13602 · Cited by 17
Methods for the Analysis and Interpretation for Rare Variants Associated with Complex Traits
Weissenkampen, J. D., Jiang, Y., Eckert, S., Jiang, B., Li, B., & Liu, D. J. (2019) · Current Protocols in Human Genetics · doi:10.1002/cphg.83 · Cited by 20
The Burmese cat as a genetic model of type 2 diabetes in humans
Samaha, G., Beatty, J. A., Wade, C. M., & Haase, B. (2019) · Animal Genetics · doi:10.1111/age.12799 · Cited by 21
Altall, R. M., Qusti, S. Y., Filimban, N., Alhozali, A. M., Alotaibi, N. A., Dallol, A., Chaudhary, A., & Bakhashab, S. (2019) · The Application of Clinical Genetics · doi:10.2147/tacg.s229952 · Cited by 17
Kawai, V. K., Shi, M., Feng, Q., Chung, C. P., Liu, G., Cox, N. J., Jarvik, G. P., Lee, M. T. M., Hebbring, S. J., Harley, J. B., et al. (2020) · Arthritis & Rheumatology · doi:10.1002/art.41291 · Cited by 17
Self-citationSong, C. H., Yan, H., Wang, H., Zhang, Y., Cao, H., Wan, Y., Kong, L., Chen, S., Xu, H., Pan, B., et al. (2018) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2017.11.007 · Cited by 18
Self-citationSotos‐Prieto, M., Smith, C. E., Lai, C., Tucker, K. L., Ordovás, J. M., & Mattei, J. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz210 · Cited by 17
van der Kroef, S., Noordam, R., Deelen, J., Akintola, A. A., Jansen, S. W. M., Postmus, I., Wijsman, C. A., Beekman, M., Mooijaart, S. P., Slagboom, P. E., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149992 · Cited by 16
Pappalardo, Z., Gambhir, D., Hennings, T. G., Richards, H. W., Choe, J., Yang, K. Y., Baeyens, L., Ang, K., Chen, S., Arkin, M. R., et al. (2017) · Diabetes · doi:10.2337/db16-0962 · Cited by 14
Zheng, J., Li, K., Huang, T., Chen, Y., Xie, H., Xu, D., Sun, J., & Li, D. (2017) · Nutrients · doi:10.3390/nu9040376 · Cited by 16
Self-citationSandor, C., Beer, N. L., & Webber, C. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005816 · Cited by 16
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Kahali, B., Chen, Y., Feitosa, M., Bielak, L., O'Connell, J., Musani, S., Hegde, Y. D., Chen, Y.-H., Stetson, L., Guo, X.-Q., et al. (2020) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/clinem/dgaa855 · Cited by 17
Self-citationPrediction of complex phenotypes using the Drosophila melanogaster metabolome
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Yang, Y., Yao, S., Ding, J., Chen, W., & Guo, Y. (2020) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2019.0204 · Cited by 15
Banerji, J. (2015) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2015.2285 · Cited by 16
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Qi, Q., Wang, X., Strizich, G., & Wang, T. (2015) · International Journal of Diabetology & Vascular Disease Research · doi:10.19070/2328-353x-si01001 · Cited by 19
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Yap, Y. A., & Mariño, E. (2020) · Advances in experimental medicine and biology · doi:10.1007/5584_2020_515 · Cited by 16
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Perry, B. I., Jones, H. J., Richardson, T. G., Zammit, S., Wareham, N. J., Lewis, G., Jones, P. B., & Khandaker, G. M. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.08.006 · Cited by 16
Self-citationZhong, S., Jiang, D., & McPeek, M. S. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006329 · Cited by 15
Fernández‐Rhodes, L., Howard, A. G., Graff, M., Isasi, C. R., Highland, H. M., Young, K. L., Parra, E. J., Below, J. E., Qi, Q., Kaplan, R. C., et al. (2018) · BMC Obesity · doi:10.1186/s40608-018-0200-x · Cited by 15
Self-citationThe Role of TRAPγ/SSR3 in Preproinsulin Translocation Into the Endoplasmic Reticulum
Xu, X., Huang, Y., Li, X., Arvan, P. R., & Liu, M. R. (2021) · Diabetes · doi:10.2337/db21-0638 · Cited by 15
Self-citation10q26 – The enigma in age-related macular degeneration
Merle, D. A., Sen, M., Armento, A., Stanton, C. M., Thee, E. F., Meester‐Smoor, M. A., Kaiser, M., Clark, S. J., Klaver, C. C. W., Keane, P. A., et al. (2022) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2022.101154 · Cited by 16
Dinh, P., Peng, J.-H., Tran, T., Wu, D., Tran, C., Dinh, T., & Pan, S.-L. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1104223 · Cited by 16
Matsuba, R., Imamura, M., Tanaka, Y., Iwata, M., Hirose, H., Kaku, K., Maegawa, H., Watada, H., Tobe, K., Kashiwagi, A., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154093 · Cited by 14
Self-citationYin, X., Bizon, C., Tilson, J. L., Lin, Y., Gizer, I. R., Ehlers, C. L., & Wilhelmsen, K. C. (2017) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32540 · Cited by 15
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Zhang, Q., Wu, K., He, J., Zeng, Y., Greenbaum, J., Xia, X., Liu, H., Lv, W., Xu, L., Zhang, W., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-16722-6 · Cited by 15
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Kleinstein, S. E., Rein, M., Abdelmalek, M. F., Guy, C. D., Goldstein, D. B., Diehl, A. M., & Moylan, C. A. (2018) · Hepatology Communications · doi:10.1002/hep4.1227 · Cited by 15
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Pieralice, S., Zampetti, S., Maddaloni, E., & Buzzetti, R. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01297-w · Cited by 15
Yaman, Y., Bay, V., Aymaz, R., Keleş, M., Öner, Y., Teferedegn, E. Y., & Ün, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-93864-8 · Cited by 15
Balkhiyarova, Z., Luciano, R., Kaakinen, M., Ulrich, A., Shmeliov, A., Bianchi, M., Chioma, L., Dallapiccola, B., Prokopenko, I., & Manco, M. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab287 · Cited by 15
Self-citationLópez-Portillo, M. L., Huidobro, A., Tobar-Calfucoy, E. A., Yáñez, C., Retamales-Ortega, R., Garrido‐Tapia, M., Acevedo, J., Paredes, F., Vicente Cid, O., Catterina Ferreccio, R., et al. (2021) · Nutrients · doi:10.3390/nu14010069 · Cited by 17
Noordam, R., Sitlani, C. M., Avery, C. L., Stewart, J. D., Gogarten, S. M., Wiggins, K. L., Trompet, S., Warren, H. R., Sun, F. X., Evans, D. S., et al. (2016) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2016-104112 · Cited by 16
Self-citationGuan, M., Keaton, J. M., Dimitrov, L. M., Hicks, P. J., Xu, J., Palmer, N. D., Wilson, J. G., Freedman, B. I., Bowden, D. W., & Ng, M. C. Y. (2018) · Kidney International Reports · doi:10.1016/j.ekir.2018.03.002 · Cited by 14
Self-citationLiu, S., Liu, Y., & Liao, S. (2019) · Molecular Genetics and Genomics · doi:10.1007/s00438-019-01552-0 · Cited by 15
Rao, P., Zhou, Y., Ge, S., Wang, A.-X., Yu, X.-W., Alzain, M. A., Verónica, A., Qiu, J., Song, M., Zhang, J., et al. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13090863 · Cited by 15
Woo, H. J., & Jaques Reifman, A. (2018) · BMC Medical Genomics · doi:10.1186/s12920-018-0373-7 · Cited by 15
Jones, S. E., Lane, J. M., Wood, A. R., van Hees, V. T., Tyrrell, J., Beaumont, R. N., Jefferies, A., Dashti, H. S., Hillsdon, M. M., Ruth, K. S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/303941 · Cited by 15
Self-citationWen, C. H., Margolis, M. P., Dai, R., Zhang, P., Przytycki, P. F., Vo, D., Bhattacharya, A., Kim, M., Matoba, N., Tsai, E. A., et al. (2023) · medRxiv · doi:10.1101/2023.03.03.23286706 · Cited by 16
Self-citationHuerta‐Chagoya, A., Moreno-Macías, H., Fernández-López, J. C., Ordóñez-Sánchez, M. L., Rodríguez-Guillén, R., Contreras, A. V., Hidalgo‐Miranda, A., Alfaro-Ruíz, L. A., Salazar-Fernandez, E., Moreno‐Estrada, A., et al. (2019) · BMC Genetics · doi:10.1186/s12863-018-0707-7 · Cited by 14
Strauss, S. H., Slavov, G. T., & DiFazio, S. P. (2022) · Forests · doi:10.3390/f13111887 · Cited by 14
Structural insights into regulation of CNNM-TRPM7 divalent cation uptake by the small GTPase ARL15
Mahbub, L., Kozlov, G., Zong, P., Lee, E. L., Tetteh, S., Nethramangalath, T., Knorn, C., Jiang, J., Shahsavan, A., Yue, L., et al. (2023) · eLife · doi:10.7554/elife.86129 · Cited by 14
Penetrance and expressivity of mitochondrial variants in a large clinically unselected population
Cannon, S. J., Hall, T., Hawkes, G., Colclough, K., Boggan, R. M., Wright, C. F., Pickett, S. J., Hattersley, A. T., Weedon, M. N., & Patel, K. A. (2023) · Human Molecular Genetics · doi:10.1093/hmg/ddad194 · Cited by 14
Self-citationEstimation of DNA contamination and its sources in genotyped samples
Zajac, G. J. M., Fritsche, L. G., Weinstock, J. S., Dagenais, S. L., Lyons, R. H., Brummett, C. M., & Abecasis, G. R. (2019) · Genetic Epidemiology · doi:10.1002/gepi.22257 · Cited by 15
Self-citationRahnamafar, R., Moradi, L., & Khoobi, M. (2020) · Journal of Heterocyclic Chemistry · doi:10.1002/jhet.3911 · Cited by 14
Analysis of Glucocorticoid-Related Genes Reveal CCHCR1 as a New Candidate Gene for Type 2 Diabetes
Brenner, L. N., Mercader, J. M., Robertson, C. C., Cole, J. B., Chen, L., Jacobs, S. B. R., Rich, S. S., & Florez, J. C. (2020) · Journal of the Endocrine Society · doi:10.1210/jendso/bvaa121 · Cited by 14
Self-citationNijhawan, P., Behl, T., BUNGAU, S. G., Uddin, M. S., Zengin, G., & Arora, S. (2020) · Molecular Biology Reports · doi:10.1007/s11033-020-05784-x · Cited by 15
Human pancreatic islet miRNA-mRNA networks of altered miRNAs due to glycemic status
Karagiannopoulos, A., Esguerra, J. L. S., Pedersen, M. G., Wendt, A., Prasad, R. B., & Eliasson, L. (2022) · iScience · doi:10.1016/j.isci.2022.103995 · Cited by 14
Metadata
- Authors
- DIAbetes 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., Ferreira, T., Horikoshi, M., Johnson, A. D., Ng, M. C. Y., Prokopenko, I., Saleheen, D., Wang, X., Zeggini, E., Abecasis, G. R., Adair, L. S., Almgren, P., Atalay, M., Aung, T., Baldassarre, D., Balkau, B., Bao, Y., Barnett, A. H., Barroso, I., Basit, A., Been, L. F., Beilby, J., Bell, G. I., Benediktsson, R., Bergman, R. N., Boehm, B. O., Boerwinkle, E., Bonnycastle, L. L., Burtt, N., Cai, Q., Campbell, H., Carey, J., Cauchi, S., Caulfield, M., Chan, J. C. N., Chang, L.-C., Chang, T.-J., Chang, Y.-C., Charpentier, G., Chen, C.-H., Chen, H., Chen, Y.-T., Chia, K.-S., Chidambaram, M., Chines, P. S., Cho, N. H., Cho, Y. M., Chuang, L.-M., Collins, F. S., Cornelis, M. C., Couper, D. J., Crenshaw, A. T., van Dam, R. M., Danesh, J., Das, D., de Faire, U., Dedoussis, G., Deloukas, P., Dimas, A. S., Dina, C., Doney, A. S. F., Donnelly, P. J., Dorkhan, M., van Duijn, C., Dupuis, J., Edkins, S., Elliott, P., Emilsson, V., Erbel, R., Eriksson, J. G., Escobedo, J., Esko, T., Eury, E., Florez, J. C., Fontanillas, P., Forouhi, N. G., Forsen, T., Fox, C., Fraser, R. M., Frayling, T. M., Froguel, P., Frossard, P., Gao, Y., Gertow, K., Gieger, C., Gigante, B., Grallert, H., Grant, G. B., Groop, L. C., Groves, C. J., Grundberg, E., Guiducci, C., Hamsten, A., Han, B.-G., Hara, K., Hassanali, N., Hattersley, A. T., Hayward, C., Hedman, A. K., Herder, C., Hofman, A., Holmen, O. L., Hovingh, K., Hreidarsson, A. B., Hu, C., Hu, F. B., Hui, J., Humphries, S. E., Hunt, S. E., Hunter, D. J., Hveem, K., Hydrie, Z. I., Ikegami, H., Illig, T., Ingelsson, E., Islam, M., Isomaa, B., Jackson, A. U., Jafar, T., James, A., Jia, W., Jöckel, K.-H., Jonsson, A., Jowett, J. B. M., Kadowaki, T., Kang, H. M., Kanoni, S., Kao, W. H. L., Kathiresan, S., Kato, N., Katulanda, P., Keinanen-Kiukaanniemi, S. M., Kelly, A. M., Khan, H., Khaw, K.-T., Khor, C.-C., Kim, H.-L., Kim, S., Kim, Y. J., Kinnunen, L., Klopp, N., Kong, A., Korpi-Hyövälti, E., Kowlessur, S., Kraft, P., Kravic, J., Kristensen, M. M., Krithika, S., Kumar, A., Kumate, J., Kuusisto, J., Kwak, S. H., Laakso, M., Lagou, V., Lakka, T. A., Langenberg, C., Langford, C., Lawrence, R., Leander, K., Lee, J.-M., Lee, N. R., Li, M., Li, X., Li, Y., Liang, J., Liju, S., Lim, W.-Y., Lind, L., Lindgren, C. M., Lindholm, E., Liu, C.-T., Liu, J. J., Lobbens, S., Long, J., Loos, R. J. F., Lu, W., Luan, J., Lyssenko, V., Ma, R. C. W., Maeda, S., Mägi, R., Männistö, S., Matthews, D. R., Meigs, J. B., Melander, O., Metspalu, A., Meyer, J., Mirza, G., Mihailov, E., Moebus, S., Mohan, V., Mohlke, K. L., Morris, A. D., Mühleisen, T. W., Müller-Nurasyid, M., Musk, B., Nakamura, J., Nakashima, E., Navarro, P., Ng, P.-K., Nica, A. C., Nilsson, P. M., Njølstad, I., Nöthen, M. M., Ohnaka, K., Ong, T. H., Owen, K. R., Palmer, C. N. A., Pankow, J. S., Park, K. S., Parkin, M., Pechlivanis, S., Pedersen, N. L., Peltonen, L., Perry, J. R. B., Peters, A., Pinidiyapathirage, J. M., Platou, C. G. P., Potter, S., Price, J. F., Qi, L., Radha, V., Rallidis, L., Rasheed, A., Rathmann, W., Rauramaa, R., Raychaudhuri, S., Rayner, N. W., Rees, S. D., Rehnberg, E., Ripatti, S., Robertson, N., Roden, M., Rossin, E. J., Rudan, I., Rybin, D., Saaristo, T. E., Salomaa, V., Saltevo, J., Samuel, M., Sanghera, D. K., Saramies, J., Scott, J., Scott, L. J., Scott, R. A., Segrè, A. V., Sehmi, J., Sennblad, B., Shah, N., Shah, S., Shera, A. S., Shu, X. O., Shuldiner, A. R., Sigurðsson, G., Sijbrands, E., Silveira, A., Sim, X., Sivapalaratnam, S., Small, K. S., So, W. Y., Stančáková, A., Stefansson, K., Steinbach, G., Steinthorsdottir, V., Stirrups, K., Strawbridge, R. J., Stringham, H. M., Sun, Q., Suo, C., Syvänen, A.-C., Takayanagi, R., Takeuchi, F., Tay, W. T., Teslovich, T. M., Thorand, B., Thorleifsson, G., Thorsteinsdottir, U., Tikkanen, E., Trakalo, J., Tremoli, E., Trip, M. D., Tsai, F. J., Tuomi, T., Tuomilehto, J., Uitterlinden, A. G., Valladares-Salgado, A., Vedantam, S., Veglia, F., Voight, B. F., Wang, C., Wareham, N. J., Wennauer, R., Wickremasinghe, A. R., Wilsgaard, T., Wilson, J. F., Wiltshire, S., Winckler, W., Wong, T. Y., Wood, A. R., Wu, J.-Y., Wu, Y., Yamamoto, K., Yamauchi, T., Yang, M., Yengo, L., Yokota, M., Young, R., Zabaneh, D., Zhang, F., Zhang, R., Zheng, W., Zimmet, P. Z., Altshuler, D., Bowden, D. W., Cho, Y. S., Cox, N. J., Cruz, M., Hanis, C. L., Kooner, J., Lee, J.-Y., Seielstad, M., Teo, Y. Y., Boehnke, M., Parra, E. J., Chambers, J. C., Tai, E. S., McCarthy, M. I., & Morris, A. P.
- Affiliations
- Centre for Human Genetics (GB)
- Korea National Institute of Health (KR)
- Imperial College London (GB)
- University of Washington (US)
- Framingham Heart Study (US)
- Wake Forest University Health Sciences (US)
- University of Cambridge (GB)
- National University of Singapore (SG)
- Wellcome Sanger Institute (GB)
- University of North Carolina at Chapel Hill (US)
- Lund University (SE)
- University of Eastern Finland (FI)
- University of Milan (IT)
- Université Paris-Sud (FR)
- Shanghai Jiao Tong University (CN)
- National Health Service (GB)
- Baqai Institute of Diabetology and Endocrinology (PK)
- University of Oklahoma Health Sciences Center (US)
- The University of Western Australia (AU)
- University of Chicago (US)
- University of Iceland (IS)
- Cedars-Sinai Medical Center (US)
- Nanyang Technological University (SG)
- Baylor College of Medicine (US)
- National Institutes of Health (US)
- Broad Institute (US)
- Vanderbilt University (US)
- Western General Hospital (GB)
- Queen Mary University of London (GB)
- Chinese University of Hong Kong (HK)
- Institute of Biomedical Sciences, Academia Sinica (TW)
- National Taiwan University Hospital (TW)
- Centre Hospitalier Sud Francilien (FR)
- China Medical University (TW)
- Boston University (US)
- Indian Council of Medical Research (IN)
- Ajou University (KR)
- Seoul National University (KR)
- National Taiwan University (TW)
- Harvard University (US)
- Ealing Hospital NHS Trust (GB)
- Harokopio University of Athens (GR)
- University of Geneva (CH)
- University of Dundee (GB)
- Erasmus MC (NL)
- Icelandic Heart Association (IS)
- Essen University Hospital (DE)
- University of Helsinki (FI)
- Mexican Social Security Institute (MX)
- Centre National de la Recherche Scientifique (FR)
- Addenbrooke's Hospital (GB)
- Brigham and Women's Hospital (US)
- University of Edinburgh (GB)
- University of Exeter (GB)
- Center for Non-Communicable Diseases (PK)
- Karolinska University Hospital (SE)
- Helmholtz Munich (DE)
- Karolinska Institutet (SE)
- University of Oxford (GB)
- King's College London (GB)
- The University of Tokyo (JP)
- Deutsches Diabetes-Zentrum e.V. (DE)
- Norwegian University of Science and Technology (NO)
- Amsterdam UMC Location University of Amsterdam (NL)
- University College London (GB)
- Kindai University (JP)
- Aga Khan University (PK)
- Folkhälsans Forskningscentrum (FI)
- University of Michigan (US)
- Baker Heart and Diabetes Institute (AU)
- Johns Hopkins University (US)
- National Center for Global Health and Medicine (JP)
- Oulu University Hospital (FI)
- Agency for Science, Technology and Research (SG)
- Ewha Womans University (KR)
- Finnish Institute for Health and Welfare (FI)
- deCODE Genetics (Iceland) (IS)
- Seinäjoen Keskussairaala (FI)
- Ministry of Health and Quality of Life (MU)
- University of Toronto (CA)
- University of San Carlos (PH)
- Hammersmith Hospital (GB)
- BGI Group (China) (CN)
- Uppsala University (SE)
- University of Tartu (EE)
- University of Bonn (DE)
- Nagoya University (JP)
- Chubu Rosai Hospital (JP)
- UiT The Arctic University of Norway (NO)
- Kyushu University (JP)
- Churchill Hospital (GB)
- University of Minnesota (US)
- University of Kelaniya (LK)
- Kuopio University Hospital (FI)
- Finnish Diabetes Association (FI)
- Central Finland Health Care District (FI)
- South Karelia Central Hospital (FI)
- University of Maryland, Baltimore (US)
- Universität Ulm (DE)
- Singapore National Eye Center (SG)
- Universität für Weiterbildung Krems (AT)
- Centro Cardiologico Monzino (IT)
- The University of Melbourne (AU)
- Aichi Gakuin University (JP)
- The University of Texas Health Science Center at Houston (US)
- Imperial College Healthcare NHS Trust (GB)
- Corresponding author
- Morris, Andrew D
- Boehnke, Michael
- Parra, Esteban J
- Chambers, John C
- Tai, E Shyong
- McCarthy, Mark I
- Morris, Andrew P
- ORCID
- Mahajan, Anubha
- Zhang, Weihua
- Below, Jennifer E
- Gaulton, Kyle J
- Ferreira, Teresa
- Horikoshi, Momoko
- Johnson, Andrew D
- Ng, Maggie C Y
- Prokopenko, Inga
- Saleheen, Danish
- Wang, Xu
- Zeggini, Eleftheria
- Adair, Linda S
- Almgren, Peter
- Atalay, Mustafa
- Aung, Tin
- Baldassarre, Damiano
- Balkau, Beverley
- Bao, Yuqian
- Barnett, Anthony H
- Basit, Abdul
- Been, Latonya F
- Beilby, John
- Benediktsson, Rafn
- Bergman, Richard N
- Boehm, Bernhard O
- Boerwinkle, Eric
- Bonnycastle, Lori L
- Burtt, Noël
- Cai, Qiuyin
- Caulfield, Mark
- Chan, Juliana C N
- Chang, Li-Ching
- Chang, Tien-Jyun
- Chang, Yi-Cheng
- Charpentier, Guillaume
- Chen, Chien-Hsiun
- Chen, Han
- Chen, Yuan-Tsong
- Chia, Kee-Seng
- Chidambaram, Manickam
- Cho, Nam H
- Cho, Young Min
- Chuang, Lee-Ming
- Collins, Francis S
- Cornelis, Marilyn C
- Couper, David J
- van Dam, Rob M
- Danesh, John
- Das, Debashish
- Dedoussis, George
- Deloukas, Panos
- Dimas, Antigone S
- Doney, Alex S F
- Donnelly, Peter J
- Dorkhan, Mozhgan
- van Duijn, Cornelia
- Dupuis, Josée
- Edkins, Sarah
- Elliott, Paul
- Emilsson, Valur
- Eriksson, Johan G
- Escobedo, Jorge
- Fontanillas, Pierre
- Forouhi, Nita G
- Fox, Caroline
- Fraser, Ross M
- Frayling, Timothy M
- Froguel, Philippe
- Gieger, Christian
- Gigante, Bruna
- Grallert, Harald
- Groop, Leif C
- Grundberg, Elin
- Hamsten, Anders
- Hara, Kazuo
- Hattersley, Andrew T
- Hayward, Caroline
- Herder, Christian
- Hu, Cheng
- Hu, Frank B
- Hui, Jennie
- Humphries, Steve E
- Hunt, Sarah E
- Hveem, Kristian
- Ikegami, Hiroshi
- Ingelsson, Erik
- Jafar, Tazeen
- Jia, Weiping
- Jöckel, Karl-Heinz
- Jonsson, Anna
- Kadowaki, Takashi
- Kang, Hyun Min
- Kanoni, Stavroula
- Kathiresan, Sekar
- Katulanda, Prasad
- Keinanen-Kiukaanniemi, Sirkka M
- Khan, Hassan
- Khaw, Kay-Tee
- Khor, Chiea-Chuen
- Kim, Young Jin
- Kinnunen, Leena
- Kong, Augustine
- Kraft, Peter
- Kristensen, Malene M
- Kumar, Ashish
- Kwak, Soo Heon
- Laakso, Markku
- Lagou, Vasiliki
- Lakka, Timo A
- Langenberg, Claudia
- Langford, Cordelia
- Leander, Karin
- Li, Yun
- Liang, Junbin
- Liju, Samuel
- Lim, Wei-Yen
- Lind, Lars
- Lindgren, Cecilia M
- Lindholm, Eero
- Liu, Ching-Ti
- Long, Jirong
- Loos, Ruth J F
- Lu, Wei
- Luan, Jian'an
- Lyssenko, Valeriya
- Maeda, Shiro
- Mägi, Reedik
- Männistö, Satu
- Meigs, James B
- Melander, Olle
- Metspalu, Andres
- Meyer, Julia
- Moebus, Susanne
- Mohan, Viswanathan
- Mohlke, Karen L
- Morris, Andrew D
- Nakamura, Jiro
- Navarro, Pau
- Nilsson, Peter M
- Njølstad, Inger
- Nöthen, Markus M
- Ohnaka, Keizo
- Owen, Katharine R
- Pankow, James S
- Park, Kyong Soo
- Pechlivanis, Sonali
- Pedersen, Nancy L
- Peltonen, Leena
- Perry, John R B
- Peters, Annette
- Pinidiyapathirage, Janani M
- Price, Jackie F
- Qi, Lu
- Radha, Venkatesan
- Rathmann, Wolfgang
- Raychaudhuri, Soumya
- Rayner, N William
- Rehnberg, Emil
- Ripatti, Samuli
- Roden, Michael
- Rossin, Elizabeth J
- Rudan, Igor
- Rybin, Denis
- Salomaa, Veikko
- Sanghera, Dharambir K
- Scott, James
- Scott, Laura J
- Segrè, Ayellet V
- Sennblad, Bengt
- Shah, Nabi
- Shah, Sonia
- Shu, Xiao Ou
- Shuldiner, Alan R
- Sijbrands, Eric
- Silveira, Angela
- Sim, Xueling
- Sivapalaratnam, Suthesh
- Small, Kerrin S
- So, Wing Yee
- Stirrups, Kathleen
- Strawbridge, Rona J
- Stringham, Heather M
- Sun, Qi
- Suo, Chen
- Takeuchi, Fumihiko
- Tay, Wan Ting
- Thorand, Barbara
- Tikkanen, Emmi
- Tremoli, Elena
- Tsai, Fuu Jen
- Tuomilehto, Jaakko
- Vedantam, Sailaja
- Veglia, Fabrizio
- Voight, Benjamin F
- Wang, Congrong
- Wareham, Nicholas J
- Wilsgaard, Tom
- Wilson, James F
- Winckler, Wendy
- Wong, Tien Yin
- Wood, Andrew R
- Wu, Ying
- Yamamoto, Ken
- Yamauchi, Toshimasa
- Young, Robin
- Zabaneh, Delilah
- Zhang, Fan
- Zhang, Rong
- Zheng, Wei
- Zimmet, Paul Z
- Altshuler, David
- Bowden, Donald W
- Cho, Yoon Shin
- Cox, Nancy J
- Cruz, Miguel
- Hanis, Craig L
- Kooner, Jaspal
- Lee, Jong-Young
- Seielstad, Mark
- Boehnke, Michael
- Parra, Esteban J
- Chambers, John C
- Tai, E Shyong
- McCarthy, Mark I
- Morris, Andrew P
- Venue
- Nature Genetics
- Published
- 2014-02-09
- Volume
- 46
- Issue
- 3
- Pages
- 234-244
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC3969612
- OpenAlex
- W2148749248
- Cited by
- 1,034
- References
- 54
- Citations by year
- 2026: 14 · 2025: 32 · 2024: 47 · 2023: 59 · 2022: 81 · 2021: 80 · 2020: 89 · 2019: 105 · 2018: 114 · 2017: 125 · 2016: 152 · 2015: 106 · 2014: 27
- FWCI
- 18.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
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- WOS
- Funders
- Wellcome Trust (095552/Z/11/Z, 098017, 098381, WT098017, 095552, WT090367, WT098381, WT090532, 201413, 090532, WT085475, WT081682)
- National Institute for Health and Care Research (NF-SI-0512-10165, NF-SI-0611-10136, NF-SI-0512-10113, NF-SI-0611-10099, NF-SI-0611-10219)
- British Heart Foundation (RG/08/008/25291, RG/08/014/24067)
- European Commission (201413)
- Consejo Nacional de Ciencia y Tecnología
- Instituto Mexicano del Seguro Social
- Instituto de Seguriidad y Servicios Sociales de los Trabadores del Estado
- Novo Nordisk Fonden (NNF12OC1016467, NNF14OC0009819, NNF13OC0005339)
- National Institutes of Health (2r24hd050924-06, UL1TR001079, HG000376, DK085501, DK085584, DK073541, DK062370)
- Canadian Institutes of Health Research
- Medical Research Council (MR/K006584/1, MC_UU_12015/5, MR/L003120/1, MC_UU_12015/2, G0601261, MC_UU_12015/1)
- Japan Society for the Promotion of Science (24591347, 25221307, 24591346, 23591328, 23591327, 24390169)
- National Human Genome Research Institute (R56HG000376, R01HG000376, HG000376, T32HG000040)
- National Institute of General Medical Sciences (T32GM007753)
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK085584, U01DK085501, R01DK072193, DK-085501, U01DK062370, DK085545, U01DK085545, R56DK062370, R01DK073541, R01DK078616, K24DK080140, DK-085584, DK-073541, DK-062370, R01DK093757, R01DK062370)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24 HD-050924)
- FP7 Health (201413, HEALTH-F4-2007-201413)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- type 2 diabetes, genetic susceptibility, genetic architecture, disease susceptibility loci, fine mapping, ethnic ancestry, East Asian ancestry, South Asian ancestry, European ancestry
- MeSH terms
- Alleles, Diabetes Mellitus, Type 2, Hispanic or Latino, Humans, Risk Factors, Case-Control Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, White People, Asian People, Genome-Wide Association Study
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 ›
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