Transferability of Type 2 Diabetes Implicated Loci in Multi-Ethnic Cohorts from Southeast Asia
Open accessAbstract
Recent large genome-wide association studies (GWAS) have identified multiple loci which harbor genetic variants associated with type 2 diabetes mellitus (T2D), many of which encode proteins not previously suspected to be involved in the pathogenesis of T2D. Most GWAS for T2D have focused on populations of European descent, and GWAS conducted in other populations with different ancestry offer a unique opportunity to study the genetic architecture of T2D. We performed genome-wide association scans for T2D in 3,955 Chinese (2,010 cases, 1,945 controls), 2,034 Malays (794 cases, 1,240 controls), and 2,146 Asian Indians (977 cases, 1,169 controls). In addition to the search for novel variants implicated in T2D, these multi-ethnic cohorts serve to assess the transferability and relevance of the previous findings from European descent populations in the three major ethnic populations of Asia, comprising half of the world's population. Of the SNPs associated with T2D in previous GWAS, only variants at CDKAL1 and HHEX/IDE/KIF11 showed the strongest association with T2D in the meta-analysis including all three ethnic groups. However, consistent direction of effect was observed for many of the other SNPs in our study and in those carried out in European populations. Close examination of the associations at both the CDKAL1 and HHEX/IDE/KIF11 loci provided some evidence of locus and allelic heterogeneity in relation to the associations with T2D. We also detected variation in linkage disequilibrium between populations for most of these loci that have been previously identified. These factors, combined with limited statistical power, may contribute to the failure to detect associations across populations of diverse ethnicity. These findings highlight the value of surveying across diverse racial/ethnic groups towards the fine-mapping efforts for the casual variants and also of the search for variants, which may be population-specific.
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
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?
Under mutation-selection balance, different novel rare variants may have effects in each population, and fine mapping sometimes reveals subtle differences in association patterns.
“Under a mutation-selection balance model, it may be possible for different novel rare variants to have effects in each population, and fine mapping studies sometimes reveal subtle differences in the patterns of association [eg.67,68.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [67]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248 · cited 6× · see citing works
“Population structure ascertainment was carried out using principal components analysis (PCA) [59] with 4 panels from International Hapmap [60] and the Singapore Genome Variation Project [61] (http://www.nus-cme. org.sg/SGVP/) which includes 96 Chinese, 89 Malays and 83 Asian Indians from Singapore.”
MethodInfluentialGenome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442 · see citing works
A 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 · cited 3× · see citing works
“Population structure ascertainment was carried out using principal components analysis (PCA) [59] with 4 panels from International Hapmap [60] and the Singapore Genome Variation Project [61] (http://www.nus-cme. org.sg/SGVP/) which includes 96 Chinese, 89 Malays and 83 Asian Indians from Singapore.”
MethodHowie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928 · cited 1× · see citing works
“2 [63], incorporating population-specific genotypes from SGVP.”
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185 · see citing works
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031 · cited 1× · see citing works
“million people with T2D [3].”
Self-citationA genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993 · cited 2× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundResultGenome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843 · see citing works
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753 · see citing works
Self-citationThe Wellcome Trust Case Control Consortium, U.K.
Mossman, K. (2008) · Scientific American · doi:10.1038/scientificamerican0108-42a · Cited by 2,714 · see citing works
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609 · cited 1× · see citing works
“The final post-QC set of genotype data was used to impute SNPs on the International HapMap Phase 2 panels using IMPUTE v0.5.0”
MethodInfluentialVariant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes
Grant, S. F. A., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Manolescu, A., Sainz, J., Helgason, A., Stefansson, H., Emilsson, V., Helgadottir, A., et al. (2006) · Nature Genetics · doi:10.1038/ng1732 · Cited by 2,287 · cited 1× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundReplication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194 · cited 3× · see citing works
“It is noteworthy that the variants for which we were able to detect an association in our study were mostly discovered in the earlier wave of genome-wide scans for T2D (including CDKAL1, HHEX/IDE/KIF11, IGFBP2, SLC30A8 and FTO) [5–7,51].”
BackgroundResultDiabetes in Asia: Epidemiology, Risk Factors, and Pathophysiology
Chan, J. C. N., Malik, V., Jia, W., Kadowaki, T., Yajnik, C. S., Yoon, K.-H., & Hu, F. B. (2009) · JAMA · doi:10.1001/jama.2009.726 · Cited by 1,997 · cited 1× · see citing works
“Importantly, these populations broadly capture the genetic diversity across Asia, home to almost three billion people, and especially in a large proportion of the populations that are likely to experience the greatest increase in the burden of T2D in the near future [1].”
BackgroundWellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics · doi:10.1038/ng.120 · Cited by 1,864 · see citing works
Self-citationThe common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
Altshuler, D., Hirschhorn, J. N., Klannemark, M., Lindgren, C. M., Vohl, M.-C., Nemesh, J., Lane, C. R., Schaffner, S. F., Bolk, S., Brewer, C., et al. (2000) · Nature Genetics · doi:10.1038/79216 · Cited by 1,766 · see citing works
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.609 · Cited by 1,761 · cited 4× · see citing works
“Whenever possible, we used the effect sizes from stage 2 of DIAGRAM+ [11].”
BackgroundMethodResultInfluentialGloyn, A. L., Pearson, E. R., Antcliff, J. F., Proks, P., Bruining, G. J., Slingerland, A. S., Howard, N., Srinivasan, S., Silva, J. M. C. L., Molnes, J., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032922 · Cited by 1,137 · cited 1× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundMechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes
Lyssenko, V., Lupi, R., Marchetti, P., Guerra, S. D., Orho‐Melander, M., Almgren, P., Sjögren, M., Ling, C., Eriksson, K., Lethagen, Υ.-L., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci30706 · Cited by 821 · cited 1× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundRamachandran, A., Wan Ma, R. C., & Snehalatha, C. (2010) · The Lancet · doi:10.1016/s0140-6736(09)60937-5 · Cited by 782 · see citing works
Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus
Yasuda, K., Miyake, K., Horikawa, Y., Hara, K., Osawa, H., Furuta, H., Hirota, Y., Mori, H., Jonsson, A., Sato, Y., et al. (2008) · Nature Genetics · doi:10.1038/ng.207 · Cited by 776 · cited 2× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundGloyn, A. L., Weedon, M. N., Owen, K. R., Turner, M. J., Knight, B. A., Hitman, G., Walker, M., Levy, J. C., Sampson, M., Halford, S., et al. (2003) · Diabetes · doi:10.2337/diabetes.52.2.568 · Cited by 754 · see citing works
Unoki, H., Takahashi, A., Kawaguchi, T., Hara, K., Horikoshi, M., Andersen, G., Ng, D. P. K., Holmkvist, J., Borch-Johnsen, K., Jørgensen, T., et al. (2008) · Nature Genetics · doi:10.1038/ng.208 · Cited by 725 · cited 2× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundSelf-citationFoong, A. W. P., Saw, S., Loo, J.-L., Shen, S. Y., Loon, S., Rosman, M., Aung, T., Tan, D. T. H., Tai, E. S., & Wong, T. Y. (2007) · Ophthalmic Epidemiology · doi:10.1080/09286580600878844 · Cited by 432 · cited 1× · see citing works
“Details of the study participants and methods have been published previously [56].”
MethodSelf-citationCommon variants in WFS1 confer risk of type 2 diabetes
Sandhu, M. S., Weedon, M. N., Fawcett, K. A., Wasson, J., Debenham, S. L., Daly, A., Allen, H. L., Frayling, T. M., Neumann, R. J., Sherva, R., et al. (2007) · Nature Genetics · doi:10.1038/ng2067 · Cited by 378 · cited 1× · see citing works
“These genome-wide association studies (GWAS) have identified a number of novel loci harboring common variants that are associated with an increased risk of T2D [4–11], adding to the loci previously identified by candidate gene studies (PPARG [12], KCNJ11 [13–14], WFS1 [15–16]) and linkage studies TCF7L2 [17–19]).”
BackgroundNg, M. C. Y., Park, K. S., Oh, B., Tam, C. H. T., Cho, Y. M., Shin, H. D., Lam, V. K. L., Ma, R. C. W., So, W. Y., Cho, Y. S., et al. (2008) · Diabetes · doi:10.2337/db07-1583 · Cited by 362 · see citing works
Tsai, F., Yang, C.-F., Chen, C., Chuang, L., Lu, C.-H., Chang, C., Wang, T.-Y., Chen, R.-H., Shiu, C.-F., Liu, Y.-M., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000847 · Cited by 343 · cited 3× · see citing works
“Based on the allele frequencies observed in our studies and the sample sizes available, we had at least 80% power to detect the associations for only 8 (TCF7L2, HNF1B, UBE2E2, CDKAL1, SLC30A8, HHEX, KCNQ1 and SRR) of the 36 variants in the Chinese (the ethnic group with the largest sample size), 1 in the Malays (SRR)…”
BackgroundLavanya, R., Jeganathan, V. S. E., Zheng, Y., Raju, P., Cheung, N., Tai, E. S., Wang, J. J., Lamoureux, E. L., Mitchell, P. L. R., Young, T. L., et al. (2009) · Ophthalmic Epidemiology · doi:10.3109/09286580903144738 · Cited by 320 · cited 1× · see citing works
“Detailed methodology has been published [57].”
Self-citationOmori, S., Tanaka, Y., Takahashi, A., Hirose, H., Kashiwagi, A., Kaku, K., Kawamori, R., Nakamura, Y., & Maeda, S. (2007) · Diabetes · doi:10.2337/db07-0979 · Cited by 279 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultGrarup, N., Rose, C. S., Galijatovic, E. A. A., Andersen, G., Nielsen, A. L., Albrechtsen, A., Clausen, J. O., Rasmussen, S. S., Jørgensen, T., Sandbæk, A., et al. (2007) · Diabetes · doi:10.2337/db07-0856 · Cited by 261 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultGroves, C. J., Zeggini, E., Minton, J. A. L., Frayling, T. M., Weedon, M. N., Rayner, N. W., Hitman, G. A., Walker, M., Wiltshire, S., Hattersley, A. T., et al. (2006) · Diabetes · doi:10.2337/db06-0355 · Cited by 252 · see citing works
Wu, Y., Li, H., Loos, R. J. F., Yu, Z., Ye, X., Chen, L., Pan, A., Hu, F. B., & Lin, X. (2008) · Diabetes · doi:10.2337/db08-0047 · Cited by 240 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultTakeuchi, F., Serizawa, M., Yamamoto, K., Fujisawa, T., Nakashima, E., Ohnaka, K., Ikegami, H., Sugiyama, T., Katsuya, T., Miyagishi, M., et al. (2009) · Diabetes · doi:10.2337/db08-1494 · Cited by 233 · cited 6× · see citing works
“discovered in a Japanese study [20] conferred a protective effect”
BackgroundResultInfluentialHorikoshi, M., Hara, K., Ito, C., Shojima, N., Nagai, R., Ueki, K., Froguel, P., & Kadowaki, T. (2007) · Diabetologia · doi:10.1007/s00125-007-0827-5 · Cited by 211 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultTan, C., Emmanuel, S. C., Tan, B. Y., & Jacob, E. B. (1999) · Diabetes Care · doi:10.2337/diacare.22.2.241 · Cited by 210 · see citing works
Hughes, K., Aw, T. C., Kuperan, P., & Choo, M. H. (1997) · Journal of Epidemiology & Community Health · doi:10.1136/jech.51.4.394 · Cited by 208 · cited 1× · see citing works
“The Singapore Prospective Study Program (SP2) includes 6,968 participants from one of four previous cross-sectional studies: Thyroid and Heart Study 1982–1984 [52], National Health Survey 1992 [53], National University of Singapore Heart Study 1993–1995 [54] or National Health Survey 1998 [55].”
MethodHughes, K., Yeo, P. P., Lun, K. C., Thai, A. C., Sothy, S. P., Wang, K. W., Cheah, J. S., Phoon, W. O., & Lim, P. (1990) · Journal of Epidemiology & Community Health · doi:10.1136/jech.44.1.29 · Cited by 180 · cited 1× · see citing works
“The Singapore Prospective Study Program (SP2) includes 6,968 participants from one of four previous cross-sectional studies: Thyroid and Heart Study 1982–1984 [52], National Health Survey 1992 [53], National University of Singapore Heart Study 1993–1995 [54] or National Health Survey 1998 [55].”
MethodHu, C., Zhang, R., Wang, C., Wang, J., Ma, X., Lu, J., Qin, W., Hou, X., Wang, C., Bao, Y., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007643 · Cited by 178 · cited 2× · see citing works
“However, replication efforts for the more recently identified SNPs have been less successful [32,46–48].”
BackgroundResultLee, Y., Kang, E. S., Kim, S. H., Han, S. J., Kim, C. H., Kim, H. J., Ahn, C. W., Soo, B., Nam, M., Nam, C. M., et al. (2008) · Journal of Human Genetics · doi:10.1007/s10038-008-0341-8 · Cited by 174 · cited 2× · see citing works
“Of these, only the association at KCNQ1 has been extensively replicated [11,20–21,23–30].”
BackgroundResultSingapore Genome Variation Project: A haplotype map of three Southeast Asian populationsPreprint
Teo, Y., Sim, X., Ong, R. T., Tan, A. K. S., Chen, J., Tantoso, E., Small, K. S., Ku, C., Lee, E. J. D., Seielstad, M. T., et al. (2009) · Genome Research · doi:10.1101/gr.095000.109 · Cited by 169 · cited 4× · see citing works
“Found at: doi:10.1371/journal.pgen.1001363.s001 (0.42 MB TIF) Figure S2 Principal components analysis (PCA) plots of genetic diversity for each of the case control study and when superimposed against the Singapore Genome Variation Project (SGVP) populations.”
MethodInfluentialSelf-citationHumphries, S. E., Gable, D. R., Cooper, J. A., Ireland, H., Stephens, J. W., Hurel, S. J., Li, K., Palmen, J., Miller, M. A., Cappuccio, F. P., et al. (2006) · Journal of Molecular Medicine · doi:10.1007/s00109-006-0108-7 · Cited by 165 · cited 1× · see citing works
“While the direction and magnitude of the effects sizes were similar in our populations and previous reports [24,49–50], statistical significance was only observed in the Indian GWAS.”
ResultReplication of Genome-Wide Association Studies of Type 2 Diabetes Susceptibility in Japan
Horikawa, Y., Miyake, K., Yasuda, K., Enya, M., Hirota, Y., Yamagata, K., Hinokio, Y., Oka, Y., Iwasaki, N., Iwamoto, Y., et al. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0452 · Cited by 150 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultReplication Study of Candidate Genes Associated With Type 2 Diabetes Based On Genome-Wide Screening
Tabara, Y., Osawa, H., Kawamoto, R., Onuma, H., Shimizu, I., Miki, T., Kohara, K., & Makino, H. (2008) · Diabetes · doi:10.2337/db07-1785 · Cited by 144 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultCutter, J., Tan, B. Y., & Chew, S. K. (2001) · Europe PMC (PubMed Central) · Cited by 137 · see citing works
Bodhini, D., Radha, V., Dhar, M., Narayani, N., & Mohan, V. (2007) · Metabolism · doi:10.1016/j.metabol.2007.04.012 · Cited by 130 · see citing works
Han, X., Luo, Y., Ren, Q., Zhang, X., Wang, F., Sun, X., Zhou, X., & Ji, L. (2010) · BMC Medical Genetics · doi:10.1186/1471-2350-11-81 · Cited by 124 · see citing works
Wen, J., Rönn, T., Olsson, A., Yang, Z., Lu, B., Du, Y., Groop, L., Ling, C., & Ren-ming, H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009153 · Cited by 124 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultHu, C., Wang, C., Zhang, R., Ma, X., Wang, J., Lu, J., Qin, W., Bao, Y., Xiang, K., & Jia, W. (2009) · Diabetologia · doi:10.1007/s00125-009-1335-6 · Cited by 123 · cited 1× · see citing works
“Of these, only the association at KCNQ1 has been extensively replicated [11,20–21,23–30].”
BackgroundFranks, P. W., Rolandsson, O., Debenham, S. L., Fawcett, K. A., Payne, F., Dina, C., Froguel, P., Mohlke, K. L., Willer, C. J., Olsson, T., et al. (2007) · Diabetologia · doi:10.1007/s00125-007-0887-6 · Cited by 115 · see citing works
Chambers, J. C., Zhang, W., Zabaneh, D., Sehmi, J., Jain, P., McCarthy, M. I., Froguel, P., Ruokonen, A., Balding, D. J., Järvelin, M., et al. (2009) · Diabetes · doi:10.2337/db08-1805 · Cited by 98 · see citing works
Hertel, J. K., Johansson, S., Ræder, H., Midthjell, K., Lyssenko, V., Groop, L., Molven, A., & Njølstad, P. R. (2008) · Diabetologia · doi:10.1007/s00125-008-0982-3 · Cited by 97 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultLin, Y., Li, P., Li, C., Zhang, B., Tang, X., Zhang, X., Li, Y., Yang, X. Q., Yang, Y., Wang, L., et al. (2010) · BMC Medical Genetics · doi:10.1186/1471-2350-11-97 · Cited by 87 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultLiu, Y., Zhou, D., Zhang, D., Chen, Z., Zhao, T., Zhang, Z., Ning, M., Hu, X., Yang, Y., Zhang, Z., et al. (2009) · Diabetologia · doi:10.1007/s00125-009-1375-y · Cited by 85 · cited 1× · see citing works
“Of these, only the association at KCNQ1 has been extensively replicated [11,20–21,23–30].”
BackgroundGenetic Variation in KCNQ1 Associates With Fasting Glucose andβ-Cell Function
Tan, J. T., Nurbaya, S., Gardner, D. S.-L., Ye, S., Tai, E. S., & Ng, D. P. K. (2009) · Diabetes · doi:10.2337/db08-1138 · Cited by 82 · cited 1× · see citing works
“Of these, only the association at KCNQ1 has been extensively replicated [11,20–21,23–30].”
BackgroundSelf-citationTan, J. T., Ng, D. P. K., Yaakub, S. N., Ye, S., Lim, X. L., Leong, H., Seet, L. T., Siew, W. F., Kon, W. Y. C., Wong, T. Y., et al. (2009) · Endocrine Reviews · doi:10.1210/edrv.30.7.9999 · Cited by 77 · see citing works
Self-citationTan, J. T., Ng, D. P. K., Yaakub, S. N., Ye, S., Lim, X. L., Leong, H., Seet, L. T., Siew, W. F., Kon, W. Y. C., Wong, T. Y., et al. (2009) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-0688 · Cited by 76 · cited 1× · see citing works
“We have previously shown that SNPs associated with T2D in European populations also show similar associations in populations of Asian ethnicity [24].”
BackgroundSelf-citationHerder, C., Rathmann, W., Straßburger, K., Finner, H., Grallert, H., Huth, C., Meisinger, C., Gieger, C., Martin, S., Giani, G., et al. (2008) · Hormone and Metabolic Research · doi:10.1055/s-2008-1078730 · Cited by 71 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultGenome-wide comparisons of variation in linkage disequilibriumPreprint
Teo, Y. Y., Fry, A. E., Bhattacharya, K., Small, K. S., Kwiatkowski, D. P., & Clark, T. G. (2009) · Genome Research · doi:10.1101/gr.092189.109 · Cited by 70 · cited 1× · see citing works
“The varLD algorithm [64–65] was used to assess regional patterns of LD variation between two populations.”
MethodSelf-citationFurukawa, Y., Shimada, T., Furuta, H., Matsuno, S., Kusuyama, A., Doi, A., Nishi, M., Sasaki, H., Sanke, T., & Nanjo, K. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1029 · Cited by 64 · cited 1× · see citing works
“Many of these studies, conducted in individuals of Han Chinese, Japanese, Asian Indians, exhibited replication for many of the index SNPs that emerged from the first wave of T2D GWAS [4–7] with consistent direction of effect [20,23–24,30–45].”
ResultvarLD: a program for quantifying variation in linkage disequilibrium patterns between populations
Ong, R. T., & Teo, Y. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq125 · Cited by 59 · see citing works
Self-citationQi, Q., Li, H., Loos, R. J. F., Liu, C., Wu, Y., Hu, F. B., Wu, H., Lu, L., Yu, Z., & Xu, L. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp294 · Cited by 53 · cited 1× · see citing works
“Of these, only the association at KCNQ1 has been extensively replicated [11,20–21,23–30].”
BackgroundPositive association between variations in CDKAL1 and type 2 diabetes in Han Chinese individuals
Liu, Y., Yu, L., Zhang, D., Chen, Z., Zhou, D., Zhao, T., Li, S., Wang, T., Hu, X., Feng, G., et al. (2008) · Diabetologia · doi:10.1007/s00125-008-1141-6 · Cited by 45 · see citing works
Sanghera, D. K., Been, L. F., Ortega, L., Wander, G. S., Mehra, N. K., Aston, C. E., Mulvihill, J. J., & Ralhan, S. K. (2009) · Journal of Human Genetics · doi:10.1038/jhg.2009.7 · Cited by 42 · cited 1× · see citing works
“However, replication efforts for the more recently identified SNPs have been less successful [32,46–48].”
BackgroundOmori, S., Tanaka, Y., Horikoshi, M., Takahashi, A., Hara, K., Hirose, H., Kashiwagi, A., Kaku, K., Kawamori, R., Kadowaki, T., et al. (2009) · Diabetologia · doi:10.1007/s00125-009-1397-5 · Cited by 33 · see citing works
HHEX gene polymorphisms are associated with type 2 diabetes in the Dutch Breda cohort
van Vliet‐Ostaptchouk, J. V., Onland‐Moret, N. C., van Haeften, T. W., Franke, L., Elbers, C. C., Shiri‐Sverdlov, R., van der Schouw, Y. T., Hofker, M. H., & Wijmenga, C. (2008) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5202008 · Cited by 33 · see citing works
Schleinitz, D., Tönjes, A., Böttcher, Y., Dietrich, K., Enigk, B., Koriath, M., Scholz, G. H., Blüher, M., Zeggini, E., McCarthy, M. I., et al. (2009) · Hormone and Metabolic Research · doi:10.1055/s-0029-1233480 · Cited by 24 · see citing works
Zhou, J., Yang, J., Zhao, L., & Xin, Z. (2010) · PubMed · Cited by 24 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · 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-citationGenetics of Type 2 Diabetes—Pitfalls and Possibilities
Prasad, R., & Groop, L. (2015) · Genes · doi:10.3390/genes6010087 · Cited by 458 · see citing works
Volgman, A. S., Palaniappan, L. S., Aggarwal, N. T., Gupta, M., Khandelwal, A., Krishnan, A. V., Lichtman, J. H., Mehta, L. S., Patel, H. N., Shah, K. S., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000580 · Cited by 552 · see citing works
Epidemiology and determinants of type 2 diabetes in south Asia
Hills, A. P., Arena, R., Khunti, K., Yajnik, C. S., Jayawardena, R., Henry, C. J., Street, S. J., Soares, M. J., & Misra, A. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30204-3 · Cited by 290 · see citing works
Phan, T. P., Alkema, L., Tai, E. S., Tan, K. H. X., Yang, Q., Lim, W., Teo, Y. Y., Cheng, C., Wang, X., Wong, T. Y., et al. (2014) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2013-000012 · Cited by 190 · see citing works
Self-citationTabassum, R., Chauhan, G., Dwivedi, O. P., Mahajan, A., Jaiswal, A., Kaur, I., Bandesh, K., Singh, T., Mathai, B. J., Pandey, Y., et al. (2012) · Diabetes · doi:10.2337/db12-0406 · Cited by 182 · see citing works
“Although GWAS have greatly improved our understanding of the genetic basis of T2D, most of these studies have been performed in Europeans (9), and the studies involving South Asians are very limited (7,10).”
BackgroundLin, Z., Bei, J., Shen, M., Li, Q., Liao, Z., Zhang, Y., Lv, Q., Wei, Q., Low, H.-Q., Guo, Y., et al. (2011) · Nature Genetics · doi:10.1038/ng.1005 · Cited by 165 · see citing works
Self-citationCheng, C., Schäche, M., Ikram, M. K., Young, T. L., Guggenheim, J. A., Vitart, V., MacGregor, S., Verhoeven, V. J. M., Barathi, V. A., Liao, J., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.06.016 · Cited by 160 · see citing works
Self-citationA Form of the Metabolic Syndrome Associated with Mutations in DYRK1B
Keramati, A. R., Fathzadeh, M., Go, G., Singh, R., Choi, M., Faramarzi, S., Mane, S., Kasaei, M. M., Sarajzadeh, K., Hwa, J., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1301824 · Cited by 155 · see citing works
Kwan, T., Wong, S. S., Hong, Y., Kanaya, A. M., Khan, S. S., Hayman, L. L., Shah, S. H., Welty, F. K., DEEDWANIA, P. C., Khaliq, A., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001145 · Cited by 139 · see citing works
Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics
Krentz, N. A. J., & Gloyn, A. L. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0325-0 · Cited by 128 · see citing works
Genetic Variants on Chromosome 1q41 Influence Ocular Axial Length and High Myopia
Fan, Q., Barathi, V. A., Cheng, C., Zhou, X., Meguro, A., Nakata, I., Khor, C. C., Goh, L.-K., Li, Y., Lim, W., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002753 · Cited by 116 · see citing works
“For SiMES Malays, we also excluded the samples falling in the main clusters of PCA plots of the Chinese and Indians ethnic groups, as described in the previous study [68].”
MethodSelf-citationAdeyemo, A., Zaghloul, N. A., Chen, G., Doumatey, A. P., Leitch, C. C., Hostelley, T. L., Nesmith, J. E., Zhou, J., Bentley, A. R., Shriner, D., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10967-7 · Cited by 116 · see citing works
Wu, Y., Waite, L. L., Jackson, A., Sheu, W. H., Buyske, S. G., Absher, D., Arnett, D. K., Boerwinkle, E., Bonnycastle, L. L., Carty, C. L., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003379 · Cited by 111 · see citing works
“Recently GWAS have identified more than one independent signal at loci associated with coronary artery disease [11] and type 2 diabetes [12,13].”
BackgroundSelf-citationChallenges in Elucidating the Genetics of Diabetic Retinopathy
Kuo, J. Z.-C., Wong, T. Y., & Rotter, J. I. (2013) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2013.5024 · Cited by 109 · see citing works
Self-citationChen, G., Bentley, A. R., Adeyemo, A., Shriner, D., Zhou, J., Doumatey, A. P., Huang, H., Ramos, E., Erdos, M. R., Gerry, N. P., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds282 · Cited by 83 · see citing works
Ehlert, T., Simon, P. D., & Moser, D. (2013) · Sports Medicine · doi:10.1007/s40279-012-0012-y · Cited by 79 · see citing works
“over-represented SNPs in thousands of type 2 diabetics from different ethnic populations [40–48].”
BackgroundGene loci associated with insulin secretion in islets from nondiabetic mice
Keller, M. P., Rabaglia, M. E., Schueler, K. L., Stapleton, D. S., Gatti, D. M., Vincent, M. J., Mitok, K. A., Wang, Z., Ishimura, T., Simonett, S. P., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci129143 · Cited by 77 · see citing works
“A SNP near the HUNK gene is associated with type 2 diabetes in multi-ethnic cohorts from Southeast Asia (1).”
Wei, F., & Tomizawa, K. (2011) · Endocrine Journal · doi:10.1507/endocrj.ej11-0099 · Cited by 74 · see citing works
Comparing methods for performing trans-ethnic meta-analysis of genome-wide association studies
Wang, X., Chua, H.-X., Chen, P., Ong, R. T., Sim, X., Zhang, W., Takeuchi, F., Liu, X., Khor, C. C., Tay, W.-T., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt064 · Cited by 70 · see citing works
“Japan: This consists of a T2D study across 931 cases and 1404 controls sampled from four regions in Tokyo that have been genotyped on the Illumina HumanHap 550 BeadChip (13); SCES: The Singapore Chinese Eye Study included 302 T2D cases and 1089 controls, out of a total of 1952 Chinese subjects that have been genotyped…”
MethodSelf-citationEuropean genetic variants associated with type 2 diabetes in North African Arabs
Cauchi, S., Ezzidi, I., Achhab, Y. E., Mtiraoui, N., Chaïeb, L., Salah, D., Nejjari, C., Labrune, Y., Yengo, L., Beury, D., et al. (2012) · Diabetes & Metabolism · doi:10.1016/j.diabet.2012.02.003 · Cited by 68 · see citing works
Multi-ethnic studies in complex traits
Fu, J., Festen, E. A. M., & Wijmenga, C. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr386 · Cited by 68 · see citing works
“(9) concluded that there is considerable locus and allelic heterogeneity in T2D association between populations.”
BackgroundGenetic Determinants of Age-Related Macular Degeneration in Diverse Populations From the PAGE Study
Restrepo, N. A., Spencer, K. L., Goodloe, R., Garrett, T. A., HEISS, G. M., kova, P. B., Jorgensen, N. W., Jensen, R. A., Matise, T. C., Hindorff, L. A., et al. (2014) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.14-14246 · Cited by 66 · see citing works
“Genotyping details have been published elsewhere.(52) Genotyping methods with SiMES followed those of the SP2 cohort as previously described.”
MethodSelf-citationTransferability and Fine Mapping of Type 2 Diabetes Loci in African Americans
Ng, M. C. Y., Saxena, R., Li, J., Palmer, N. D., Dimitrov, L., Xu, J., Rasmussen-Torvik, L. J., Zmuda, J. M., Siscovick, D. S., Patel, S. R., et al. (2013) · Diabetes · doi:10.2337/db12-0266 · Cited by 62 · see citing works
“The reported index single nucleotide polymorphisms (SNPs) at these loci have been replicated in multiple populations (22 – 24) but less successfully in AfA (25 – 27).”
Insights into the genetic basis of type 2 diabetes
Kato, N. (2013) · Journal of Diabetes Investigation · doi:10.1111/jdi.12067 · Cited by 53 · see citing works
Hanscombe, K. B., Persyn, E., Traylor, M., Glanville, K. P., Hamer, M., Coleman, J. R. I., & Lewis, C. M. (2021) · Genome Medicine · doi:10.1186/s13073-021-00994-9 · Cited by 53 · see citing works
“trocardiography [60], diastolic blood pressure [61] and diabetes mellitus [62].”
BackgroundCui, Q., Feng, Q.-S., Mo, H., Sun, J., Xia, Y.-F., Zhang, H., Foo, J. N., Guo, Y., Chen, L.-Z., Li, M., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw200 · Cited by 53 · see citing works
Self-citationGao, H., Kim, Y., Chen, P., Igase, M., Kawamoto, R., Kim, M. K., Kohara, K., Lee, J., Miki, T., Ong, R. T., et al. (2013) · Diabetes · doi:10.2337/db13-0129 · Cited by 52 · see citing works
Self-citationTomasoni, M., Beyeler, M. J., Vela, S. O., Mounier, N., Porcu, E., Corre, T., Krefl, D., Button, A. L., Abouzeid, H., Konstantinidis, L., et al. (2023) · Ophthalmology Science · doi:10.1016/j.xops.2023.100288 · Cited by 47 · see citing works
Kwak, S. H., Chae, J., Lee, S., Choi, S., Koo, B. K., Yoon, J. W., Park, J., Cho, B., Moon, M. K., Lim, S. K., et al. (2018) · Diabetes · doi:10.2337/db18-0361 · Cited by 49 · see citing works
“In addition, the haplotype structure of certain risk loci and variant allele frequency are different among populations (6,7).”
BackgroundThe Architecture of Risk for Type 2 Diabetes: Understanding Asia in the Context of Global Findings
Abdullah, N., Attia, J., Oldmeadow, C. J., Scott, R. J., & Holliday, E. G. (2014) · International Journal of Endocrinology · doi:10.1155/2014/593982 · Cited by 47 · see citing works
“Chinese [117, 145, 146], African-American [121, 147, 148], Southeast Asian [124], Hispanic [149], Mexican-American [150], South Asian [92], Indo-European [151], and Indian Punjabi Sikh [152].”
BackgroundInfluentialA comparison of type 2 diabetes risk allele load between African Americans and European Americans
Keaton, J. M., Bailey, J. N. C., Palmer, N. D., Freedman, B. I., Langefeld, C. D., Ng, M. C. Y., & Bowden, D. W. (2014) · Human Genetics · doi:10.1007/s00439-014-1486-5 · Cited by 47 · see citing works
“We selected SNPs from T2D risk loci with prior evidence of association (p < 5 × 10−8) in GWAS of European, African American and other ethnicities (Steinthorsdottir et al. 2007; Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research et al. 200…”
MethodProjection of prediabetes and diabetes population size in Singapore using a dynamic Markov model
Wong, L. Y., Toh, M. P. H. S., & Tham, L. (2016) · Journal of Diabetes · doi:10.1111/1753-0407.12384 · Cited by 46 · see citing works
The type 2 diabetes-associated HMG20A gene is mandatory for islet beta cell functional maturity
Mellado‐Gil, J. M., Fuente-Martín, E., Lorenzo, P. I., Cobo‐Vuilleumier, N., López–Noriega, L., Martín‐Montalvo, A., Herrera-Gómez, I. D. G., Ceballos-Chávez, M., Gómez-Jaramillo, L., Campos‐Caro, A., et al. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0272-z · Cited by 43 · see citing works
“We find that: (1) HMG20A is expressed in pancreatic islet beta cells, (2) HMG20A levels are decreased in T2DM islets, (3) high glucose stimulates HMG20A expression, (4) the T2DM-associated SNP within the 3′ UTR of the HMG20A transcript decreases luciferase activity, (5) HMG20A regulates key genes in beta cell function…”
BackgroundEdwards, D. R. V., Naj, A. C., Monda, K. L., North, K. E., Neuhouser, M. L., Magvanjav, O., Kusimo, I., Vitolins, M. Z., Manson, J. E., O’Sullivan, M. J., et al. (2012) · Human Genetics · doi:10.1007/s00439-012-1246-3 · Cited by 45 · see citing works
“Variation in ZPLD1 has been nominally associated with type 2 diabetes in Southeast Asians (Sim et al., 2011).”
BackgroundZhou, B., Wei, F., Kanai, N., Fujimura, A., Kaitsuka, T., & Tomizawa, K. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu184 · Cited by 45 · see citing works
“Twelve SNPs in CDKAL1, including the three SNPs examined in the present study, have been associated with T2D [rs4712523 (23); rs4712524 (13); rs10440833 (24); rs6931514 (25); rs9465871 (26); rs9295474 (27); rs9356744, rs7773318, rs9465994 (28)].”
on behalf of the China Kadoorie Biobank Collaborative Group, Gan, W., Walters, R. G., Holmes, M. V., Bragg, F., Millwood, I. Y., Banasik, K., Chen, Y., Du, H., Iona, A., et al. (2016) · Diabetologia · doi:10.1007/s00125-016-3920-9 · Cited by 45 · see citing works
“Previous studies have reported that the majority of common variants are shared across different ethnic groups [24, 30, 47, 48].”
BackgroundPalit, S. P., Patel, R., Jadeja, S. D., RATHWA, N. N., Mahajan, A., Ramachandran, A. V., Dhar, M. K., Sharma, S., & Begum, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-59845-z · Cited by 44 · see citing works
Silver, M. J., Chen, P., Li, R.-Y., Cheng, C.-Y., Wong, T., Tai, E., Teo, Y. Y., & Montana, G. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003939 · Cited by 44 · see citing works
“after first round of quality control [52] and removal of monomorphic SNPs.”
BackgroundMethodInfluentialSelf-citationLi, Q., Wojciechowski, R., Simpson, C. L., Hysi, P. G., Verhoeven, V. J. M., Ikram, M. K., Höhn, R., Vitart, V., Hewitt, A. W., Oexle, K., et al. (2014) · Human Genetics · doi:10.1007/s00439-014-1500-y · Cited by 38 · see citing works
Self-citationGoyal, S., Tanigawa, Y., Zhang, W., Chai, J. F., Almeida, M., Sim, X., Lerner, M. R., Chainakul, J., Ramiu, J. G., Seraphin, C., et al. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01531-8 · Cited by 39 · see citing works
Self-citationHan, Y. Y., Dorajoo, R., Chang, X., Wang, L., Khor, C. C., Sim, X., Cheng, C., Shi, Y., Tham, Y. C., Zhao, W., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-18214-z · Cited by 37 · see citing works
Self-citationJordan, D. M., & Do, R. (2018) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083117-021136 · Cited by 35 · see citing works
“Several examples exist of GWAS loci discovered in European cohorts failing to replicate in trans-ethnic cohorts or of trans-ethnic GWASs explaining less variance than GWASs performed on an ethnically homogeneous population (22, 38, 43, 61).”
BackgroundDissection of type 2 diabetes: a genetic perspective
Bonnefond, A., Florez, J. C., Loos, R. J. F., & Froguel, P. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00339-5 · Cited by 40 · see citing works
Oei, L., Estrada, K., Duncan, E. L., Christiansen, C., Liu, C., Langdahl, B. L., Obermayer-Pietsch, B. M., Riancho, J. A., Prince, R. L., van Schoor, N. M., et al. (2013) · Bone · doi:10.1016/j.bone.2013.10.015 · Cited by 36 · see citing works
“When the linkage disequilibrium structure in the region differs across populations this may result in decreased power and lack of replication [74–77].”
BackgroundInvestigation on Cardiovascular Risk Prediction Using Genetic Information
Pu, L., Zhao, Z., & Zhang, Y. (2012) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2012.2205009 · Cited by 36 · see citing works
Sohani, Z. N., Deng, W. Q., Paré, G., Meyre, D., Gerstein, H. C., & Anand, S. S. (2014) · Diabetologia · doi:10.1007/s00125-014-3354-1 · Cited by 34 · see citing works
“Four GWAS have been conducted in South Asians [14–17], which collectively identified nine SNPs ( p<5×10).”
InfluentialSgD-CNV, a database for common and rare copy number variants in three Asian populations
Xu, H., Poh, W.-T., Sim, X., Ong, R. T., Suo, C., Tay, W.-T., Khor, C. C., Seielstad, M. T., Liu, J., Aung, T., et al. (2011) · Human Mutation · doi:10.1002/humu.21601 · Cited by 33 · see citing works
Self-citationAssociation Analysis of Genetic Variants with Type 2 Diabetes in a Mongolian Population in China
Bai, H., Liu, H., Suyalatu, S., Guo, X., Chu, S., Chen, Y., Lan, T., Borjigin, B., Orlov, Y. L., Posukh, O. L., et al. (2015) · Journal of Diabetes Research · doi:10.1155/2015/613236 · Cited by 33 · see citing works
“SNPs found to be associated with T2D in Asian populations, rs1048886 (C6orf57) [5], rs4402960 (IGF2BP2) [28], rs5015480 (HHEX, IDE), rs1359790 (SPRY2) [29], rs1552224 (CENTD2), rs3923113 (GRB14), rs5215 (KCNJ11), rs7903146 (TCF7L2) [6], rs10886471 (GRK5), and rs7403531 (RASGRP1) [30], were not replicated in our study.”
BackgroundAssociation of melatonin & MTNR1B variants with type 2 diabetes in Gujarat population
Patel, R., RATHWA, N. N., Palit, S. P., Ramachandran, A. V., & Begum, R. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.04.058 · Cited by 32 · see citing works
Kuo, J. Z.-C., Sheu, W. H., Assimes, T. L., Hung, Y., Absher, D., Chiu, Y., Mak, J. T., Wang, J., Kwon, S., Hsu, C., et al. (2013) · Diabetologia · doi:10.1007/s00125-013-3047-1 · Cited by 31 · see citing works
“05, which followed the αs used in an earlier trans-ethnic study of type 2 diabetes mellitus [11].”
BackgroundMethodResultPatel, R., Palit, S. P., RATHWA, N. N., Ramachandran, A. V., & Begum, R. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.06.962 · Cited by 30 · see citing works
Genetic Risk Factors for Type 2 Diabetes: Insights from the Emerging Genomic Evidence
Ntzani, E., & Kavvoura, F. K. (2012) · Current Vascular Pharmacology · doi:10.2174/157016112799305030 · Cited by 29 · see citing works
Osada, U. N., Sunagawa, H., Terauchi, Y., & Ueda, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154821 · Cited by 29 · see citing works
“Both of these pathways may be hampered in carriers of CDKAL1 risk variants, in which actually impaired insulin secretion is reported [18][19][8][20].”
BackgroundYamakawa‐Kobayashi, K., Natsume, M., Aoki, S., Nakano, S., Inamori, T., Kasezawa, N., & Goda, T. (2012) · BMC Medical Genetics · doi:10.1186/1471-2350-13-11 · Cited by 27 · see citing works
“Furthermore, additional GWAS for Japanese and Chinese populations were performed and new susceptibility loci were detected [24-28], some of which have also been confirmed in Caucasians as well as Asian populations [24,25,29].”
BackgroundPeter, I., McCaffery, J. M., Kelley-Hedgepeth, A., Hakonarson, H. H., Reís, S. E., Wagenknecht, L. E., Kopin, A. S., Huggins, G. S., & Study, F. T. G. S. O. T. L. A. (2012) · Obesity · doi:10.1038/oby.2012.11 · Cited by 27 · see citing works
Replication of newly identified type 2 diabetes susceptible loci in Northwest Indian population
Sharma, V., Sharma, I., Sethi, I., Mahajan, A., Singh, G., Angural, A., Bhanwer, A. J. S., Dhar, M. K., Singh, V., Rai, E., et al. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.02.013 · Cited by 26 · see citing works
Chai, J. F., Raichur, S., Khor, I. W., Torta, F. T., Chew, W. S., Herr, D. R., Ching, J., Kovalik, J. P., Khoo, C. M., Wenk, M. R., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz246 · Cited by 25 · see citing works
Self-citationLi, 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 · see citing works
“Asian GWAS datasets, we noted that rs7636 , a synonymous SNP within Acetylcholinesterase ( AChE ), exhibited genome-wide significance for T2D in Asian but not Caucasian populations with an odd ratios of 1.85 (95% CI: 1.42–2.41, p : 5.00E-6) 39 .”
InfluentialJayant, S. S., Gupta, R., Rastogi, A., Agrawal, K., Sachdeva, N. K., Ram, S., Dutta, P. R., Bhadada, S. K., & Bhansali, A. K. (2022) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2022.102418 · Cited by 23 · see citing works
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 23 · see citing works
Liu, C.-T., Ng, M., Rybin, D., Adeyemo, A., Bielinski, S., Boerwinkle, E., Borecki, I., Cade, B., Chen, Y.-D.-I., Djoussé, L., et al. (2012) · Diabetologia · doi:10.1007/s00125-012-2656-4 · Cited by 24 · see citing works
Cheng, G., Xue, H., Luo, J. M., Jia, H., Zhang, L., Dai, J., & Buyken, A. E. (2017) · Scientific Reports · doi:10.1038/s41598-017-00453-9 · Cited by 23 · see citing works
Comparative Genome of GK and Wistar Rats Reveals Genetic Basis of Type 2 Diabetes
Liu, T., Li, H., Ding, G., Wang, Z., Chen, Y., Liu, L., Li, Y., & Li, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141859 · Cited by 23 · see citing works
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 · see citing works
Self-citationSzabó, M. I., Máté, B., Csép, K., & Benedek, T. (2017) · Biochemical Genetics · doi:10.1007/s10528-017-9827-4 · Cited by 22 · see citing works
Anand, S. S., Meyre, D., Paré, G., Bailey, S. D., Xie, C., Zhang, X., Montpetit, A., Desai, D., Bosch, J., Mohan, V., et al. (2013) · Diabetes Care · doi:10.2337/dc12-2553 · Cited by 22 · see citing works
“Other investigators have evaluated T2DM genetic associations across multiple ethnicities with conflicting results, possibly attributable to limited statistical power, allelic heterogeneity, or linkage disequilibrium differences (20,21).”
Bhagwandin, C., Ashbeck, E. L., Whalen, M. B., Bandola-Simon, J. M., Roche, P. A., Szajman, A., Truong, S. M., Wertheim, B. C., Klimentidis, Y. C., Ishido, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204898 · Cited by 22 · see citing works
Efficiency of trans-ethnic genome-wide meta-analysis and fine-mapping
Ong, R. T., Wang, X., Liu, X., & Teo, Y. (2012) · European Journal of Human Genetics · doi:10.1038/ejhg.2012.88 · Cited by 20 · see citing works
Self-citationChikowore, 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 · see citing works
Klimentidis, Y. C., Lemas, D. J., Wiener, H. W., O’Brien, D. M., Havel, P. J., Stanhope, K. L., Hopkins, S. E., Tiwari, H. K., & Boyer, B. B. (2013) · Journal of Diabetes · doi:10.1111/1753-0407.12093 · Cited by 19 · see citing works
“Both CDKAL1 and HHEX variants were strongly associated with T2D and insulin secretion in several south-east Asian cohorts and among Pima Indians, respectively.(47,48) Our finding that the risk allele for the HHEX SNP as identified in GWAS corresponds to the “protective” allele in this sample is not uncommon in genetic…”
BackgroundQiu, J., Moore, J. H., & Darabos, C. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21964 · Cited by 18 · see citing works
“E-mail: JHMoore@upenn.edu developing countries and 20% in developed countries by 2030 [Shaw et al., 2010; Zhao et al., 2012].”
BackgroundDissecting the Brain/Islet Axis in Metabesity
Fuente-Martín, E., Mellado‐Gil, J. M., Cobo‐Vuilleumier, N., Martín‐Montalvo, A., Romero‐Zerbo, S., Contreras, I. D., Hmadcha, A., Soria, B., Bermudo, F. M., Reyes, J. C., et al. (2019) · Genes · doi:10.3390/genes10050350 · Cited by 17 · see citing works
Hints of Unique Genetic Effects for Type 2 Diabetes in India
Holliday, E. G. (2013) · Diabetes · doi:10.2337/db12-1836 · Cited by 17 · see citing works
Wang, X., Liu, X., Sim, X., Xu, H., Khor, C. C., Ong, R. T., Tay, W.-T., Suo, C., Poh, W.-T., Ng, D. P. K., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.219 · Cited by 16 · see citing works
Self-citationVerma, G., Bowen, A., Gheibi, S., Hamilton, A., Muthukumar, S., Cataldo, L. R., Asplund, O., Esguerra, J. L. S., Karagiannopoulos, A., Lyons, C., et al. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.101692 · Cited by 16 · see citing works
Genetic Determinants of Type 2 Diabetes in Asians
Qi, Q., Wang, X., Strizich, G., & Wang, T. (2015) · International Journal of Diabetology & Vascular Disease Research · doi:10.19070/2328-353x-si01001 · Cited by 16 · see citing works
“In addition, a GWAS of T2D in multi-ethnic cohorts from Southeast Asia (including Chinese, Malays and Asian Indians) observed consistent direction of effect for many T2D SNPs identified in European populations [85].”
BackgroundChen, Z., Pereira, M. A., Seielstad, M. T., Koh, W., Tai, E. S., Teo, Y.-Y., Liu, J., Hsu, C., Wang, R., Odegaard, A., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087762 · Cited by 15 · see citing works
“Since 2007, genomewide association studies (GWAS) have reported at least 57 additional thoroughly replicated genetic susceptibility loci harboring common variants for T2D [38–57].”
BackgroundSelf-citationXu, K., Jiang, L., Zhang, M., Zheng, X., Gu, Y., Wang, Z., Cai, Y., Dai, H., Shi, Y., Zheng, S., et al. (2016) · Medicine · doi:10.1097/md.0000000000003604 · Cited by 15 · see citing works
Ding, Q., Tan, A. L. M., Parra, E. J., Cruz, M., Sim, X., Teo, Y., Long, J., AlSafar, H. S., Petretto, E. G., Tai, E. S., et al. (2020) · Journal of Human Genetics · doi:10.1038/s10038-019-0720-3 · Cited by 14 · see citing works
“…0.586 Mexico City 2 2016 Mexico Mexican 140 448 306 166 415 306 0.592 0.578 Scott et al. 2007 Finland European 41 808 311 36 854 283 0.616 0.605 Sim et al. 2011 China Asian 190 864 907 255 852 833 0.666 0.647 correlation with serum glucose and insulin level across obese mice samples (r= 0.77…”
MethodInfluentialSelf-citationThe New Perspectives on Genetic Studies of Type 2 Diabetes and Thyroid Diseases
Xu, M., Bi, Y., Cui, B., Hong, J., Wang, W., & Ning, G. (2013) · Current Genomics · doi:10.2174/138920213804999138 · Cited by 14 · see citing works
“Since the first GWAS, the number of susceptibility loci for T2D has grown up to more than 50 (Table 1) [22-45].”
BackgroundChikowore, T., Conradie, K. R., Towers, G. W., & van Zyl, T. (2015) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2015.0116 · Cited by 13 · see citing works
Liu, H., He, J., Zhang, Q., Lv, W., Xia, X., Sun, C., Zhang, W., & Deng, H. (2017) · Molecular Genetics and Genomics · doi:10.1007/s00438-017-1381-6 · Cited by 13 · see citing works
“Another subset of 13 SNPs had not been reported to be associated with T2D but their annotated genes were mentioned as T2D associated in previous studies (details in the Supplementary Table S6) (Sim et al. 2011; Voight et al. 2011; Mahajan et al. 2014; Cook and Morris 2016).”
Admixture mapping and fine-mapping of type 2 diabetes susceptibility loci in African American women
Uribe‐Salazar, J. M., Palmer, J. R., Haddad, S. A., Rosenberg, L. A., & Ruiz-Narváez, E. (2018) · Journal of Human Genetics · doi:10.1038/s10038-018-0503-2 · Cited by 13 · see citing works
Lam, V. K. L., Ronald, C. W., Lee, H. M., Hu, C., Park, K. S., Furuta, H., Wang, Y., Tam, C. H. T., Sim, X., Ng, D. P. K., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062378 · Cited by 11 · see citing works
“Notwithstanding some heterogeneity of effect sizes possibly due to differences in population-specific LD architecture, allele frequency [18] and factors such as lifestyle and environment [22], rs1583645 of CPE and rs6583813 of IDE showed consistent associations with T2D on meta-analysis of multiple East Asian cohorts.”
BackgroundResultSelf-citationLi, Y., Gong, G., Geng, H., Yang, Z., Zhou, C., Xu, J., Qian, Y., Wang, X., & Chen, A. (2014) · Endocrine Journal · doi:10.1507/endocrj.ej14-0297 · Cited by 12 · see citing works
Contiguous mutation syndrome in the era of high‐throughput sequencing
Langouët, M., Siquier-Pernet, K., Sanquer, S., Bôle‐Feysot, C., Nitschké, P., Boddaert, N., Münnich, A., Mancini, G. M. S., Barouki, R., Amiel, J., et al. (2015) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.134 · Cited by 12 · see citing works
“associated with obesity in Chinese population (Sell et al. 1998; Li et al. 2003; Sim et al. 2011; Huang et al. 2012; Sanghera and Blackett 2012; Zhu et al. 2012).”
Common and rare exonic MUC5B variants associated with type 2 diabetes in Han Chinese
Chen, G., Zhang, Z., Adebamowo, S. N., Liu, G., Adeyemo, A., Zhou, Y., Doumatey, A. P., Wang, C., Zhou, J., Yan, W., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173784 · Cited by 11 · see citing works
Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes
Choi, S., Bae, S., & Park, T. (2016) · Genomics & Informatics · doi:10.5808/gi.2016.14.4.138 · Cited by 12 · see citing works
“Some genes (AGR3, C2CD4B, C6orf57, CAMK1D, DNER, IGF2BP2, KCNJ11, KCNQ1, NXN, PLS1, and RGS7) were previously reported to be associated with T2D [44-53].”
BackgroundGenetic Architecture of Type 2 Diabetes
Prasad, R. B., & Groop, L. (2016) · Wiley eBooks · doi:10.1002/9781118924853.ch14 · Cited by 12 · see citing works
"Diabetes Associated Genes from the Dark Matter of the Human Proteome"
Narayanan, R. (2014) · MOJ Proteomics & Bioinformatics · doi:10.15406/mojpb.2014.01.00020 · Cited by 11 · see citing works
“The ORFs C6orf27 and C6orf47 were associated exclusively with type 1 diabetes [58-60], whereas ORF C6orf57 was associated with type 2 diabetes and CD40 ligand [61,62].”
BackgroundDirect‐to‐consumer genetic testing in China and its role in GWAS discovery and replication
Kang, K., Sun, X., Wang, L., Yao, X., Tang, S., Deng, J., Wu, X., Yang, C., & Chen, G. (2020) · Quantitative Biology · doi:10.1007/s40484-020-0209-2 · Cited by 11 · see citing works
Chai, J. F., Kao, S. L., Wang, C., Lim, V., Khor, I. W., Dou, J., Podgornaia, A., Chothani, S. P., Cheng, C., Sabanayagam, C., et al. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa658 · Cited by 11 · see citing works
Self-citationKeaton, J. M., Hellwege, J. N., Ng, M. C. Y., Palmer, N. D., Pankow, J. S., Fornage, M., Wilson, J. G., Correa, A., Rasmussen‐Torvik, L. J., Rotter, J. I., et al. (2016) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789813207813_0024 · Cited by 10 · see citing works
Soltani, G., Hatefi, Z., Salehi, A. R., Khosravi, S., Ghiasi, M. R., Teke, K., Aminorroaya, A., & Salehi, R. (2018) · Advanced Biomedical Research · doi:10.4103/abr.abr_144_17 · Cited by 10 · see citing works
“[19-22] Carrying risk variants of CDKAL1 may attenuate normal functioning of CDKAL1 resulting in impaired insulin secretion.[16,23] Many studies have shown that rs7754840 in CDKAL1 gene is associated with risk of type 2 diabetes.”
BackgroundWan, L., Zhu, L., Huang, H., He, Y., Lv, J., Li, W., Chen, L., & He, W. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.09.006 · Cited by 10 · see citing works
Gómez-Marín, E., Marjanović, M. P., Zarzuela, L., Basurto-Cayuela, L., Guerrero-Martinez, J. A., Arribas, G., Yerbes, R., Ceballos-Chávez, M., Rodríguez‐Paredes, M., Tomé, M., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac766 · Cited by 9 · see citing works
Characterizing the genetic risk for Type 2 diabetes in a Malaysian multi‐ethnic cohort
Abdullah, N., Murad, N. A. A., Attia, J., Oldmeadow, C. J., Hanif, E. A. M., Syafruddin, S. E., Jalal, N. A., Ismail, N., Ishak, M., Jamal, R., et al. (2015) · Diabetic Medicine · doi:10.1111/dme.12735 · Cited by 9 · see citing works
Association of serine racemase gene variants with type 2 diabetes in the C hinese H an population
Zhang, S., Xiao, J., Ren, Q., Han, X., Tang, Y. C., Yang, W., Zhou, X., & Ji, L. (2013) · Journal of Diabetes Investigation · doi:10.1111/jdi.12145 · Cited by 9 · see citing works
- Authors
- Sim, X., Ong, R. T.-H., Suo, C., Tay, W.-T., Liu, J., Ng, D. P.-K., Boehnke, M., Chia, K.-S., Wong, T.-Y., Seielstad, M., Teo, Y.-Y., & Tai, E.-S.
- Affiliations
- National University of Singapore (SG)
- Agency for Science, Technology and Research (SG)
- Singapore National Eye Center (SG)
- University of Michigan (US)
- The University of Melbourne (AU)
- Corresponding author
- Teo, Yik-Ying
- Tai, E-Shyong
- ORCID
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-04-07
- Volume
- 7
- Issue
- 4
- Pages
- e1001363
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3072366
- OpenAlex
- W2025086473
- Cited by
- 152
- References
- 67
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 6 · 2021: 9 · 2020: 9 · 2019: 5 · 2018: 14 · 2017: 9 · 2016: 15 · 2015: 12 · 2014: 19 · 2013: 19 · 2012: 17
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Funders
- National Research Foundation (03/1/27/18/216)
- National University of Singapore
- National Research Foundation Singapore (NRF-RF-2010-05)
- Genome Institute of Singapore
- Medical Research Council
- National Medical Research Council (09/1/35/19/616, NMRC/STaR/0003/2008, 03/1/27/18/216, 08/1/35/19/550, 0796/2003, STAR/0003/2008)
- Biomedical Research Council (08/1/35/19/550, 03/1/27/18/216, 0796/2003, 09/1/35/19/616)
- National Human Genome Research Institute (R56HG000376, R01HG000376)
- 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 loci, multi-ethnic cohort, Chinese, Malay language, Asian Indians, CDKAL1, population-specific variants, allelic heterogeneity, linkage disequilibrium, fine mapping, genetic architecture
- MeSH terms
- Adult, Aged, Asia, Southeastern, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, tRNA Methyltransferases, Linkage Disequilibrium, Case-Control Studies, Kinesins, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Cyclin-Dependent Kinase 5, Genome-Wide Association Study, Genetic Loci
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