The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Self-citation
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 401–500 of 1,001
Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop
Hu, P., Branca, R. T., Hernando, D., Karampinos, D. C., Machann, J., McKenzie, C. A., Wu, H. H., Yokoo, T., & Velan, S. S. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28103 · Cited by 29
Ali, O., Cerjak, D., Kent, J. W., James, R. G., Blangero, J., Carless, M. A., & Zhang, Y. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0048-6 · Cited by 32
Linking Metabolic Disease With the PGC-1α Gly482Ser Polymorphism
Vandenbeek, R., Khan, N. P., & Estall, J. L. (2017) · Endocrinology · doi:10.1210/en.2017-00872 · Cited by 30
Bakhashab, S., Filimban, N., Altall, R. M., Nassir, R., Qusti, S. Y., Al-Qahtani, M. H., Abuzenadah, A. M., & Dallol, A. (2020) · Genes · doi:10.3390/genes11010098 · Cited by 31
Placental multi-omics integration identifies candidate functional genes for birthweight
Ayele, F. T., Zeng, X., Chatterjee, S., Ouidir, M., Lesseur, C., Hao, K., Chen, J., Tesfaye, M., Marsit, C. J., Workalemahu, T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30007-1 · Cited by 30
Baldeón, L., Weigelt, K., de Wit, H., Özcan, B., van Oudenaren, A., Sempértegui, F., Sijbrands, E. J. G., Grosse, L., van Zonneveld, A. J., Drexhage, H. A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129421 · Cited by 29
Self-citationRaffield, L. M., Louie, T., Sofer, T., Jain, D., Ipp, E., Taylor, K. D., Papanicolaou, G., Avilés-Santa, L. M., Lange, L. A., Laurie, C. C., et al. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx082 · Cited by 30
Self-citationAmare, A. T., Schubert, K. O., Cohen‐Woods, S., & Baune, B. T. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/150615 · Cited by 29
Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports · doi:10.1038/srep18092 · Cited by 28
Fine Mapping of Type 2 Diabetes Susceptibility Loci
Morris, A. P. (2014) · Current Diabetes Reports · doi:10.1007/s11892-014-0549-2 · Cited by 28
Self-citationCheung, C. Y. Y., Tang, C. S.-M., Xu, A., Lee, C., Au, K., Xu, L., Fong, C. H.-Y., Kwok, K. H. M., Chow, W., Woo, Y. C., et al. (2016) · Diabetologia · doi:10.1007/s00125-016-4132-z · Cited by 27
Hodonsky, C. J., Baldassari, A., Bien, S. A., Raffield, L. M., Highland, H. M., Sitlani, C. M., Wojcik, G. L., Tao, R., Graff, M., Tang, W., et al. (2020) · BMC Genomics · doi:10.1186/s12864-020-6626-9 · Cited by 24
Self-citationKriegler, T., Kiburg, G., & Hessa, T. (2020) · Journal of Molecular Biology · doi:10.1016/j.jmb.2020.10.028 · Cited by 28
ARL15 modulates magnesium homeostasis through N-glycosylation of CNNMs
Zolotarov, Y., Ma, C., González‐Recio, I., Hardy, S., Franken, G. A. C., Uetani, N., Latta, F., Kostantin, E., Boulais, J., Thibault, M.-P., et al. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03832-8 · Cited by 28
Gaining insight into metabolic diseases from human genetic discoveries
Claussnitzer, M., & Suszták, K. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.07.005 · Cited by 28
Peripheral Blood Transcriptomic Signatures of Fasting Glucose and Insulin Concentrations
Chen, B. H., Hivert, M., Peters, M. J., Pilling, L. C., Hogan, J., Pham, L., Harries, L. W., Fox, C. S., Bandinelli, S., Dehghan, A., et al. (2016) · Diabetes · doi:10.2337/db16-0470 · Cited by 28
Self-citationHarder, M. N., Appel, E. V. R., Grarup, N., Gjesing, A. P., Ahluwalia, T. S., Jørgensen, T., Christensen, C., Brandslund, I., Linneberg, A. R., Sørensen, T. I. A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120890 · Cited by 27
How Can Genetic Studies Help Us to Understand Links Between Birth Weight and Type 2 Diabetes?
Beaumont, R. N., Horikoshi, M., McCarthy, M. I., & Freathy, R. M. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0852-9 · Cited by 27
Self-citationChemo-Preventive Action of Resveratrol: Suppression of p53—A Molecular Targeting Approach
Akter, R., Rahman, M. H., Kaushik, D. K., Mittal, V., Uivaroșan, D., Nechifor, A. C., Behl, T., Karthika, C., Stoicescu, M., Munteanu, M. A., et al. (2021) · Molecules · doi:10.3390/molecules26175325 · Cited by 28
Genetics of Type 2 Diabetes: the Power of Isolated Populations
Andersen, M. K., Pedersen, C. T., Moltke, I., Hansen, T. F., Albrechtsen, A., & Grarup, N. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0757-z · Cited by 32
Zhou, W., Fritsche, L. G., Das, S., Zhang, H., Nielsen, J. B., Holmen, O. L., Chen, J., Lin, M., Elvestad, M. B., Hveem, K., et al. (2017) · Genetic Epidemiology · doi:10.1002/gepi.22067 · Cited by 27
Self-citationA Decade of Genetic and Metabolomic Contributions to Type 2 Diabetes Risk Prediction
Merino, J., Udler, M. S., Leong, A., & Meigs, J. B. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0958-0 · Cited by 28
Self-citationHu, Y., Tan, L., Chen, X., Greenbaum, J., & Deng, H. (2018) · Bone · doi:10.1016/j.bone.2018.08.020 · Cited by 28
Genome-wide association analysis of common genetic variants of resistant hypertension
on behalf of eMERGE network, Rouby, N. M. E., McDonough, C. W., Gong, Y., McClure, L. A., Mitchell, B. D., Horenstein, R. B., Talbert, R. L., Crawford, D. C., Gitzendanner, M. A., et al. (2018) · The Pharmacogenomics Journal · doi:10.1038/s41397-018-0049-x · Cited by 27
Self-citationPancreatic Islet Transcriptional Enhancers and Diabetes
Cebola, I. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1230-6 · Cited by 26
Pan, L., Liu, Y., Huang, C., Huang, Y., Lin, R., Wei, K., Zhou, Y., Yao, Y., Qin, G., & Yu, Y. (2025) · BMC Medicine · doi:10.1186/s12916-024-03832-y · Cited by 30
Al‐Daghri, N. M., Pontremoli, C., Cagliani, R., Forni, D., Alokail, M. S., Al-Attas, O. S., Sabico, S., Riva, S., Clerici, M., & Sironi, M. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-017-0897-z · Cited by 26
Performance of epistasis detection methods in semi-simulated GWAS
Chatelain, C., Durand, G., Thuillier, V., & Augé, F. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2229-8 · Cited by 26
Guzmán-Castañeda, S. J., Ortega-Vega, E. L., de la Cuesta‐Zuluaga, J., Velásquez-Mejía, E. P., Rojas, W., Bedoya, G., & Escobar, J. S. (2019) · Gut Microbes · doi:10.1080/19490976.2019.1634416 · Cited by 26
Zeng, Y., He, H., Zhang, L., Zhu, W., Shen, H., Yan, Y., & Deng, H. (2020) · Journal of Human Genetics · doi:10.1038/s10038-020-00843-4 · Cited by 27
SATB2‐LEMD2 interaction links nuclear shape plasticity to regulation of cognition‐related genes
Feurle, P., Abentung, A., Cera, I., Wahl, N., Ablinger, C., Bucher, M., Stefan, E., Sprenger, S., Teis, D., Fischer, A., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019103701 · Cited by 26
An update of the consensus statement on insulin resistance in children 2010
Tagi, V. M., Samvelyan, S., & Chiarelli, F. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1061524 · Cited by 30
Phani, N. M., Adhikari, P., Nagri, S. K., D’Souza, S. C., Satyamoorthy, K., & Rai, P. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157364 · Cited by 28
Florwick, A., Dharmaraj, T., Jurgens, J. A., Valle, D. L., & Wilson, K. L. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00079 · Cited by 27
Domínguez-Cruz, M. G., Muñoz, M. D. L., Totomoch-Serra, A., García‐Escalante, M. G., Burgueño, J. A., Valadéz-González, N., Pinto-Escalantes, D., & Díaz-Badillo, Á. (2018) · Gene · doi:10.1016/j.gene.2018.08.041 · Cited by 27
International Society of Psychiatric Genetics Ethics Committee: Issues facing us
Lázaro‐Muñoz, G., Sabatello, M., Huckins, L. M., Peay, H. L., Degenhardt, F., Meiser, B., Lencz, T., Soda, T., Docherty, A. R., Crepaz‐Keay, D., et al. (2019) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32736 · Cited by 26
Genetic Studies on Diabetic Microvascular Complications: Focusing on Genome-Wide Association Studies
Kwak, S. H., & Park, K. S. (2015) · Endocrinology and Metabolism · doi:10.3803/enm.2015.30.2.147 · Cited by 25
Self-citationCausal inference challenges in social epidemiology: Bias, specificity, and imagination
Glymour, M. M., & Rudolph, K. E. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.07.045 · Cited by 25
Owolabi, M. O., Peprah, E. K., Xu, H., Akinyemi, R., Tiwari, H. K., Irvin, M. R., Wahab, K., Arnett, D. K., & Ovbiagele, B. I. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.09.021 · Cited by 26
Fürtjes, A. E., Coleman, J. R. I., Tyrrell, J., Lewis, C. M., & Hagenaars, S. P. (2021) · Psychological Medicine · doi:10.1017/s0033291721000945 · Cited by 24
An epidemiological perspective of personalized medicine: the E stonian experience
Milani, L. A., Leitsalu, L., & Metspalu, A. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12320 · Cited by 27
Self-citationZhao, J., Wang, M., Deng, W., Zhong, D., Jiang, Y., Liao, Y., Chen, B., & Zhang, X. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.03.079 · Cited by 23
Lin, J. J., & Musunuru, K. (2018) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.117.001946 · Cited by 27
Álvarez, H. R., Echeverría, I., Benito, A. A., Glaria, I., Benavides, J., Pérez, V. P., de Andrés, D., & Reina, R. (2021) · Pathogens · doi:10.3390/pathogens10010083 · Cited by 25
Deleskog, A., den Hoed, M., Tettamanti, G., Carlsson, S., Ljung, R., Feychting, M., & Brooke, H. L. (2017) · Clinical Epidemiology · doi:10.2147/clep.s147188 · Cited by 26
Cao, Y., Wang, T., Wu, Y., Juan, J., Qin, X., Tang, X., Wu, T., & Hu, Y. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19041011 · Cited by 24
Self-citationGoldstein, J. A., Weinstock, J. S., Bastarache, L. A., Larach, D. B., Fritsche, L. G., Schmidt, E. M., Brummett, C. M., Kheterpal, S., Abecasis, G. R., Denny, J. C., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1009077 · Cited by 25
Self-citationGenetics of Type 2 Diabetes in African Americans
Ng, M. C. Y. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0651-0 · Cited by 24
Self-citationThe Genetic Architecture of Diabetes in Pregnancy: Implications for Clinical Practice
Kleinberger, J. W., Maloney, K. A., & Pollin, T. I. (2016) · American Journal of Perinatology · doi:10.1055/s-0036-1592078 · Cited by 24
Li, J., Lee, H. M., Wang, Y., Tong, A. H.-Y., Yip, K. Y.-L., Tsui, S. K., Lok, S., Ozaki, R., Luk, A. O. Y., Kong, A. P. S., et al. (2016) · Scientific Reports · doi:10.1038/srep35228 · Cited by 24
Self-citationGenetic factors associated with risk of metabolic syndrome and hepatocellular carcinoma
Tang, R., Liu, H., Yuan, Y., Xie, K., Xu, P., Liu, X., & Wen, J. (2017) · Oncotarget · doi:10.18632/oncotarget.15893 · Cited by 24
Ivarsdottir, E. V., Steinthórsdóttir, V., DANESHPOUR, M. S., Þorleifsson, G., Sulem, P., Hólm, H., Sigurðsson, S., Hreiðarsson, Á. B., Sigurdsson, G. T., Bjarnason, R. G., et al. (2017) · Nature Genetics · doi:10.1038/ng.3928 · Cited by 24
Self-citationNew Insights into the Genetics of Latent Autoimmune Diabetes in Adults
Andersen, M. K. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01330-y · Cited by 26
Ibanez, L., Heitsch, L., Dube, U., Farias, F. H. G., Budde, J., Bergmann, K., Davenport, R., Bradley, J., Carrera, C., Kinnunen, J., et al. (2019) · Stroke · doi:10.1161/strokeaha.118.023097 · Cited by 23
Self-citationPancreatic Islet Protein Complexes and Their Dysregulation in Type 2 Diabetes
Pedersen, H., Guðmundsdóttir, V., & Brunak, S. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00043 · Cited by 22
Human genetics as a model for target validation: finding new therapies for diabetes
Thomsen, S. K., & Gloyn, A. L. (2017) · Diabetologia · doi:10.1007/s00125-017-4270-y · Cited by 24
Cera, I., Whitton, L., Donohoe, G. J., Morris, D. W., Dechant, G., & Apostolova, G. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1007890 · Cited by 22
Yang, C.-H., Mangiafico, S. P., Waibel, M., Loudovaris, T., Loh, K., Thomas, H. E., Morahan, G., & Andrikopoulos, S. (2020) · Diabetologia · doi:10.1007/s00125-020-05137-0 · Cited by 22
Huang, Y., Xu, X., Arvan, P. R., & Liu, M. R. (2021) · The FASEB Journal · doi:10.1096/fj.202002774r · Cited by 23
Barroso, I. (2021) · Diabetologia · doi:10.1007/s00125-021-05575-4 · Cited by 22
Self-citationLi, X., Peng, S., Guan, B., Chen, S., Zhou, G., Wei, Y. Q., Gong, C., Xu, J., Lu, X., Zhang, X., et al. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.734400 · Cited by 25
Self-citationTan, Q., Yang, S., Wang, B., Wang, M., Yu, L., Liang, R., Liu, W., Song, J., Guo, Y., Zhou, M., et al. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.131757 · Cited by 24
Srinivasan, S., Liju, S., Sathish, N., Siddiqui, M. K., Anjana, R. M., Pearson, E. R., Doney, A. S. F., Mohan, V., Radha, V., & Palmer, C. N. A. (2023) · Diabetes Care · doi:10.2337/dc23-0243 · Cited by 25
Self-citationConnecting SNPs in Diabetes: A Spatial Analysis of Meta-GWAS Loci
Schierding, W. S., & O'Sullivan, J. M. (2015) · Frontiers in Endocrinology · doi:10.3389/fendo.2015.00102 · Cited by 23
Raghavan, S., Porneala, B., McKeown, N. M., Fox, C. S., Dupuis, J., & Meigs, J. B. (2015) · Diabetologia · doi:10.1007/s00125-015-3498-7 · Cited by 23
Self-citationNovel Risk Factors for Type 2 Diabetes in African-Americans
Chatterjee, R., Maruthur, N. M., & Edelman, D. E. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0675-5 · Cited by 25
Polygenic risk for type 2 diabetes mellitus among individuals with psychosis and their relatives
Padmanabhan, J. L., Nanda, P., Tandon, N., Mothi, S. S., Bolo, N. R., McCarroll, S. A., Clementz, B. A., Gershon, E. S., Pearlson, G. D., Sweeney, J. A., et al. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.02.015 · Cited by 23
van de Bunt, M., Lako, M., Barrett, A., Gloyn, A. L., Hansson, M. D., McCarthy, M. I., Beer, N. L., & Honoré, C. (2016) · Islets · doi:10.1080/19382014.2016.1182276 · Cited by 23
Self-citationSeppälä, I., Oksala, N., Jula, A., Kangas, A. J., Soininen, P., Hutri‐Kähönen, N., März, W., Meinitzer, A., Juonala, M., Kähönen, M. A. P., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-01274-6 · Cited by 23
Genetic prediction of type 2 diabetes using deep neural network
Kim, J., Kim, J., Kwak, M. J., & Bajaj, M. (2017) · Clinical Genetics · doi:10.1111/cge.13175 · Cited by 23
Heritability and family-based GWAS analyses of the N -acyl ethanolamine and ceramide plasma lipidome
McGurk, K. A., Williams, S. G., Guo, H., Watkins, H. C., Farrall, M., Cordell, H. J., Nicolaou, A., & Keavney, B. D. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab002 · Cited by 24
Sun, J., Zhang, H., Zhang, Y., Wang, L., Sun, B., Gao, F., & Liu, G. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.03.012 · Cited by 24
Horikoshi, M., Pasquali, L., Wiltshire, S., Huyghe, J. R., Mahajan, A., Asimit, J. L., Ferreira, T. C., Locke, A. E., Robertson, N. R., Wang, X., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw048 · Cited by 23
Self-citationSzabó, M. I., Máté, B., Csép, K., & Benedek, T. (2017) · Biochemical Genetics · doi:10.1007/s10528-017-9827-4 · Cited by 23
TCF19 Impacts a Network of Inflammatory and DNA Damage Response Genes in the Pancreatic β-Cell
Yang, G. H. Y., Fontaine, D. A., Lodh, S., Blumer, J. T., Roopra, A., & Davis, D. B. (2021) · Metabolites · doi:10.3390/metabo11080513 · Cited by 22
Genomic legacy of migration in endangered caribou
Cavedon, M., vonHoldt, B. M., Hebblewhite, M., Hegel, T. M., Heppenheimer, E., Hervieux, D., Mariani, S., Schwantje, H. M., Steenweg, R. W., Theoret, J., et al. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1009974 · Cited by 22
Chen, M., Lu, Y., Chen, X., Wang, Z., & Ma, L. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.966707 · Cited by 24
Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose
Qiao, Z., Sidorenko, J., Revez, J. A., Xue, A., Lu, X., Pärna, K., Snieder, H., Study, L. C., Visscher, P. M., Wray, N. R., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36013-1 · Cited by 23
Self-citationCruz, L. A., Bailey, J. N. C., & Crawford, D. C. (2023) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-122220-113250 · Cited by 22
Juvinao-Quintero, D. L., Sharp, G. C., Sanderson, E. C. M., Relton, C. L., & Elliott, H. R. (2023) · Diabetologia · doi:10.1007/s00125-023-05914-7 · Cited by 23
Brown, E. L., Below, J. E., Fischer, R. S. B., Essigmann, H. T., Hu, H., Huff, C., Robinson, D. A., Petty, L. E., Aguilar, D. A., Bell, G. I., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142130 · Cited by 23
Self-citationGenome engineering tools for building cellular models of disease
Lin, J. J., & Musunuru, K. (2016) · FEBS Journal · doi:10.1111/febs.13763 · Cited by 23
Complex Genetics of Type 2 Diabetes and Effect Size: What have We Learned from Isolated Populations?
Nair, A. K., & Baier, L. J. (2015) · The Review of Diabetic Studies · doi:10.1900/rds.2015.12.299 · Cited by 21
Sandholm, N., Haukka, J. K., Toppila, I., Valo, E., Harjutsalo, V., Forsblom, C. M., & Groop, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-29211-1 · Cited by 20
Druggability of Coronary Artery Disease Risk Loci
Tragante, V., Hemerich, D., Alshabeeb, M. A., Brænne, I., Lempiäinen, H., Patel, R. S., den Ruijter, H. M., Barnes, M. R., Moore, J. H., Schunkert, H., et al. (2018) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.117.001977 · Cited by 22
Osteopontin activates the diabetes-associated potassium channel TALK-1 in pancreatic β-cells
Dickerson, M. T., Vierra, N. C., Milian, S. C., Dadi, P. K., & Jacobson, D. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175069 · Cited by 20
Lubberding, A. F., Juhl, C. R., Skovhøj, E. Z., Kanters, J. K., Mandrup-Poulsen, T. R., & Torekov, S. S. (2022) · Acta Physiologica · doi:10.1111/apha.13781 · Cited by 21
Mattis, K. K., Krentz, N. A. J., Metzendorf, C., Abaitua, F., Spigelman, A. F., Sun, H., Iklé, J. M., Thaman, S., Rottner, A. K., Bautista, A., et al. (2023) · Diabetologia · doi:10.1007/s00125-022-05856-6 · Cited by 22
Self-citationA systems view of epigenetic networks regulating pancreas development and β‐cell function
Xie, R., Carrano, A. C., & Sander, M. (2015) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1287 · Cited by 23
Catechol-O-methyltransferase association with hemoglobin A1c
Hall, K. T., Jablonski, K. A., Chen, L., Harden, M. V., Tolkin, B. R., Kaptchuk, T. J., Bray, G. A., Ridker, P. M., Florez, J. C., Mukamal, K. J., et al. (2016) · Metabolism · doi:10.1016/j.metabol.2016.04.001 · Cited by 21
Self-citationStrawbridge, R. J., Hilding, A., Silveira, A. M. V., Österholm, C., Sennblad, B., McLeod, O., Tsikrika, P., Foroogh, F., Tremoli, E., Baldassarre, D., et al. (2016) · Diabetes · doi:10.2337/db15-1333 · Cited by 21
Self-citationGrarup, N., Moltke, I., Andersen, M. K., Bjerregaard, P., Larsen, C. V. L., Dahl‐Petersen, I. K., Jørsboe, E., Tiwari, H. K., Hopkins, S. E., Wiener, H. W., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4659-2 · Cited by 20
Jones, S. E., Lane, J. M., Ar, W., van Hees, V. T., Tyrrell, J., Beaumont, R. N., Jeffries, A. R., Dashti, H. S., Hillsdon, M. M., Ruth, K. S., et al. (2019) · Yearbook of pediatric endocrinology · doi:10.1530/ey.16.1.1 · Cited by 26
Self-citationBenabdelkamel, H., Masood, A., Okla, M., Al-Naami, M. Y., & Alfadda, A. A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194905 · Cited by 21
Genetically Determined Birthweight Associates With Atrial Fibrillation
Kember, R. L., Levin, M. G., Cousminer, D. L., Tsao, N. L., Judy, R., Schur, G. M., Lubitz, S. A., Ellinor, P. T., McCormack, S. E., Grant, S. F. A., et al. (2020) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.119.002553 · Cited by 21
Self-citationMahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01058-3 · Cited by 704
Self-citationA role for zinc transporter gene SLC39A12 in the nervous system and beyond
Davis, D. N., Strong, M. D., Chambers, E., Hart, M. D., Bettaieb, A., Clarke, S. L., Smith, B. J., Stoecker, B. J., Lucas, E. A., Lin, D., et al. (2021) · Gene · doi:10.1016/j.gene.2021.145824 · Cited by 22
Mendelian randomization study of obesity and type 2 diabetes in hospitalized COVID-19 patients
Qu, H., Qu, J., Glessner, J., & Hakonarson, H. H. (2022) · Metabolism · doi:10.1016/j.metabol.2022.155156 · Cited by 20
Association between RAC1 gene variation, redox homeostasis and type 2 diabetes mellitus
Azarova, I. E., Klyosova, E. Y., & Polonikov, A. (2022) · European Journal of Clinical Investigation · doi:10.1111/eci.13792 · Cited by 18
Chan, M., Sadeghi‐Alavijeh, O., Lopes, F. M., Hilger, A. C., Stanescu, H. C., Voinescu, C., Beaman, G. M., Newman, W. G., Zaniew, M., Weber, S., et al. (2022) · eLife · doi:10.7554/elife.74777 · Cited by 23
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)
- Teesside University Research Portal (Teesside University) (publishedVersion, other-oa)
- Research Explorer (The University of Manchester) (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- AJOU Open Repository (Ajou University) (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Anglia Ruskin Research Online (Anglia Ruskin University) (submittedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Site cant be reached (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Griffith Research Online (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Hirsla (Landspítali University Hospital) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- 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 ›
Are you an author, or do you see a problem with this page? Request a review