The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Open accessAbstract
We conducted a genome-wide association study for type 2 diabetes (T2D) in Icelandic cases and controls, and we found that a previously described variant in the transcription factor 7-like 2 gene (TCF7L2) gene conferred the most significant risk. In addition to confirming two recently identified risk variants, we identified a variant in the CDKAL1 gene that was associated with T2D in individuals of European ancestry (allele-specific odds ratio (OR) = 1.20 (95% confidence interval, 1.13-1.27), P = 7.7 x 10(-9)) and individuals from Hong Kong of Han Chinese ancestry (OR = 1.25 (1.11-1.40), P = 0.00018). The genotype OR of this variant suggested that the effect was substantially stronger in homozygous carriers than in heterozygous carriers. The ORs for homozygotes were 1.50 (1.31-1.72) and 1.55 (1.23-1.95) in the European and Hong Kong groups, respectively. The insulin response for homozygotes was approximately 20% lower than for heterozygotes or noncarriers, suggesting that this variant confers risk of T2D through reduced insulin secretion.
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?
In the citing paper
“Interestingly, several of the recently discovered risk loci for type 2 diabetes have been implicated in cell cycle control of β-cells and could theoretically influence adult β-cell mass or alter the timing of cell cycle exit of adult β-cells (36–39).”
From Adaptive β-Cell Proliferation Is Severely Restricted With Advanced Age (2009) · cites this paper as [36]
In the citing paper
“5) Some regions reveal surprising associations. For example, unexpected connections have emerged among T2D, inflammatory diseases (two loci), and cancer (four loci). A single intron of CDKAL1 was found to contain a SNP associated with T2D and insulin secretion defects (99–101, 116), and another with Crohn’s disease and psoriasis (117).”
From Genetic Mapping in Human Disease (2008) · cites this paper as [116]
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
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
A haplotype map of the human genome
The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 1×
“The results were adjusted for relatedness between individuals and potential population stratification by genomic contro”
BackgroundMathematical Statistics and Data Analysis
Rabinowitz, L., & Rice, J. A. (1989) · Technometrics · doi:10.2307/3556160 · Cited by 3,142
A 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
Variant 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
Self-citationSkol, A. D., Scott, L. J., Abecasis, G. R., & Boehnke, M. (2006) · Nature Genetics · doi:10.1038/ng1706 · Cited by 1,286
A common inversion under selection in Europeans
Stefánsson, H., Helgason, A., Þorleifsson, G., Steinthórsdóttir, V., Másson, G., Barnard, J., Baker, A., Jónasdóttir, Á., Ingason, A., Gudnadottir, V. G., et al. (2005) · Nature Genetics · doi:10.1038/ng1508 · Cited by 847
Self-citationThe gene encoding phosphodiesterase 4D confers risk of ischemic stroke
Grétarsdóttir, S., Þorleifsson, G., Reynisdottir, S. T., Manolescu, A. R., Jonsdottir, S., Jónsdóttir, Þ., Gudmundsdottir, T., Bjarnadottir, S. M., Einarsson, O. B., Gudjonsdottir, H. M., et al. (2003) · Nature Genetics · doi:10.1038/ng1245 · Cited by 560
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 801–900 of 1,001
Wang, L., Xu, W., & Wang, X. (2016) · Medicine · doi:10.1097/md.0000000000005090 · Cited by 4
El-Husseiny, A. A., El-Din, A. M. G., Mariee, A. D., Mohamed, R. R., & Ibrahiem, A. H. (2017) · Gene Reports · doi:10.1016/j.genrep.2017.04.003 · Cited by 4
Ju, H., Lin, R., Yuan, Z., Sun, Y., Zeng, L., Su, Z., & Li, J. (2017) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2017.05.003 · Cited by 4
Anticipation of Precision Diabetes and Promise of Integrative Multi-Omics
Liu, C., & Sun, Y. V. (2021) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2021.05.011 · Cited by 4
Grant, S. F. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-11251-0_11 · Cited by 4
Dziedziejko, V., Safranow, K., Kijko-Nowak, M., Sieńko, J., Malinowski, D., Szumilas, K., & Pawlik, A. (2023) · Genes · doi:10.3390/genes14081595 · Cited by 4
Wang, T., Zhou, B., Guo, T., Bidlingmaier, M., Wallaschofski, H., Teumer, A., Vasan, R. S., & Kaplan, R. C. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21766 · Cited by 4
He, L., Zhbannikov, I. Y., Arbeev, K. G., Yashin, A. I., & Kulminski, A. M. (2017) · Genetic Epidemiology · doi:10.1002/gepi.22058 · Cited by 4
Ezzidi, I., Mtiraoui, N., Ali, M. E. M., Masoudi, A. A., & Abuduhier, F. M. (2018) · Journal of Genetics · doi:10.1007/s12041-018-1031-8 · Cited by 4
Zusi, C., Rinaldi, E., Bonetti, S., Boselli, M. L., Trabetti, E., Malerba, G., Bonora, E., Bonadonna, R. C., & Trombetta, M. (2021) · Journal of Endocrinological Investigation · doi:10.1007/s40618-020-01483-3 · Cited by 4
Translational Genomics: From Discovery to Clinical Practice
Ginsburg, G. S. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-369420-1.00022-6 · Cited by 4
Can Data Science Inform Environmental Justice and Community Risk Screening for Type 2 Diabetes?
Davis, J. A., & Burgoon, L. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121855 · Cited by 4
Åberg, K. A., Sun, G., Smelser, D. T., Indugula, S. R., Tsai, H., Steele, M. S., Tuitele, J., Deka, R., McGarvey, S. T., & Weeks, D. E. (2008) · Human Biology · doi:10.1353/hub.2008.a244598 · Cited by 4
Novel Insights Into the Etiology of Diabetes From Genome-Wide Association Studies
Palmer, C. N. A. (2009) · Diabetes · doi:10.2337/db09-1153 · Cited by 4
Bergholdt, R. (2009) · PubMed · Cited by 4
Obstacles to Translating Genotype-Phenotype Correlates in Metabolic Disease
Sharma, A. R., & Vella, A. V. (2016) · Physiology · doi:10.1152/physiol.00009.2016 · Cited by 4
Arya, R., Puppala, S., Farook, V. S., Chittoor, G., Jenkinson, C. P., Blangero, J., Hale, D. E., Duggirala, R., & Almasy, L. A. (2015) · Springer eBooks · doi:10.1007/978-3-662-46306-2_12 · Cited by 4
Genetics of Diabetes and Diabetic Complications
Prasad, R. B., Ahlqvist, E., & Groop, L. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_6 · Cited by 5
Die Herzinsuffizienz als komplexe genetische Erkrankung
Linsel‐Nitschke, P., Schunkert, H., & Erdmann, J. (2008) · Der Internist · doi:10.1007/s00108-008-2051-x · Cited by 4
Genome miners rush to stake claims
Wadman, M. (2007) · Nature · doi:10.1038/447623a · Cited by 4
Posttransplantation diabetes mellitus (PTDM): pharmacological aspects and genetic predispositions
Chastagner, D., Arnion, H., Danthu, C., Touré, F., & Picard, N. (2024) · Pharmacogenomics · doi:10.1080/14622416.2025.2470613 · Cited by 3
Applying weighted Cox regression to genome-wide association studies of time-to-event phenotypes
Li, Y., Ma, Y., He, X., Sun, Y., Zhu, M., Yue, W., Zhou, W., & Bi, W. (2025) · Nature Computational Science · doi:10.1038/s43588-025-00864-z · Cited by 3
Developmental origins of genotype-phenotype correlations in chronic diseases of old age.
McCormack, S. E., Xia, Q., & Grant, S. F. A. (2012) · Europe PMC (PubMed Central) · Cited by 3
Sakai, K., Imamura, M., Tanaka, Y., Iwata, M., Hirose, H., Kaku, K., Maegawa, H., Watada, H., Tobe, K., Kashiwagi, A., et al. (2015) · Diabetology International · doi:10.1007/s13340-015-0202-6 · Cited by 3
The Effect of Type 2 Diabetes Risk Loci on Insulin Requirements in Type 1 Diabetes
Moosavi, M., Séguin, J., Li, Q., & Polychronakos, C. (2012) · Hormone Research in Paediatrics · doi:10.1159/000338665 · Cited by 3
Atypical protein kinase C dysfunction and the metabolic syndrome
Bèguinot, F., & Formisano, P. (2008) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2007.11.005 · Cited by 3
Ходырев, Д. С., Nikitin, A. G., Бровкин, А. Н., Лаврикова, Е. Ю., Лебедева, Н. О., Vikulova, O. K., Шамхалова, М. Ш., Shestakova, M. V., Mayorov, M. Y., Potapov, V. A., et al. (2016) · Russian Journal of Genetics · doi:10.1134/s1022795416110065 · Cited by 3
Genome-wide association studies (GWAS): What are they, when to use them?
Wang, F. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-817218-6.00004-8 · Cited by 3
Grant, S. F. A. (2023) · Springer eBooks · doi:10.1007/978-3-031-40116-9_11 · Cited by 3
Identification of genes related to fatty acid metabolism in type 2 diabetes mellitus
Yang, J., Zhou, Y., Zhang, J., Zheng, Y., & He, J.-D. (2024) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2024.101849 · Cited by 3
Yin, X. Y., Chen, P., Zhu, H. W., Yin, X. L., Ye, G., Chi, Y. Y., Kang, Z. P., Sun, H. Y., Hou, W. L., Guan, L., et al. (2021) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.2790 · Cited by 3
Li, Z., & Zhao, Y. (2021) · Cancer Management and Research · doi:10.2147/cmar.s314925 · Cited by 3
Population history modulates the fitness effects of Copy Number Variation in the Roma
Antinucci, M., Comas, D., & Calafell, F. (2023) · Human Genetics · doi:10.1007/s00439-023-02579-5 · Cited by 3
Díaz-García, J. D., Leyva-Leyva, M., Sánchez-Aguillón, F., de León‐Bautista, M. P., Fuentes-venegas, A., Torres-Viloria, A., Tenorio-Aguirre, E. K., Morales‐Lázaro, S. L., Olivo‐Díaz, A., & González‐Ramírez, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179196 · Cited by 3
Paraneoplastic Syndromes in Pancreatic Cancer
Werner, J., & Herzig, S. (2018) · Springer eBooks · doi:10.1007/978-1-4939-7193-0_27 · Cited by 3
Family Influences on Children’s Well-Being: Potential Roles of Molecular Genetics and Epigenetics
Guo, G. (2010) · National symposium on family issues · doi:10.1007/978-1-4419-7361-0_13 · Cited by 3
Sleep-related breathing disorders
Shaw, P. J., Tafti, M., & Thorpy, M. J. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139649469.030 · Cited by 3
A Model for Fine Mapping in Family Based Association Studies
Böehringer, S., & Pfeiffer, R. M. (2009) · Human Heredity · doi:10.1159/000194976 · Cited by 3
Marjoram, P., & Thomas, D. C. (2014) · Current Epidemiology Reports · doi:10.1007/s40471-014-0022-4 · Cited by 3
Developments in psoriasis and psoriatic arthritis
Feletar, M., Foley, P. A., & Brown, M. A. (2008) · Drug Discovery Today Disease Mechanisms · doi:10.1016/j.ddmec.2008.05.001 · Cited by 3
The genetics of diabetic pregnancy
Bajaj, K., & Gross, S. J. (2014) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2014.08.008 · Cited by 3
Current status of genome-wide association study
Han, J., & ZHANG, X.-J. (2011) · Hereditas (Beijing) · doi:10.3724/sp.j.1005.2011.00025 · Cited by 3
Grant, S. F. A. (2015) · Springer eBooks · doi:10.1007/978-3-319-12125-3_11-1 · Cited by 3
Genome-wide association studies: Where we are heading?
Gao, X. (2011) · World Journal of Medical Genetics · doi:10.5496/wjmg.v1.i1.23 · Cited by 3
Current Omics Technologies in Biomarker Discovery
Ding, W. J., Qiu, P., Liu, Y., & Feng, W. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-3604-0.ch027 · Cited by 3
Florez, J. C., Udler, M. S., & Hanson, R. L. (2021) · Europe PMC (PubMed Central) · Cited by 3
Genome plasticity and endocrine diseases
Li, X., Wang, L., Tan, X., & Wang, W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817819-5.00013-9 · Cited by 3
Paraneoplastic Syndromes in Pancreatic Cancer
Werner, J., & Herzig, S. (2009) · Springer eBooks · doi:10.1007/978-0-387-77498-5_27 · Cited by 3
Goodarzi, M. O. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.00011-8 · Cited by 3
Typ-2-Diabetes-assoziierte Gene
Kriebel, J., Grallert, H., & Illig, T. (2012) · Der Diabetologe · doi:10.1007/s11428-011-0779-8 · Cited by 3
Alvarez, M. F., Gómez, M. E. V., & Siewert, S. (2016) · OALib · doi:10.4236/oalib.1103270 · Cited by 3
The Genetics of Type 2 Diabetes: From Candidate Gene Biology to Genome‐Wide Studies
Vaxillaire, M., & Froguel, P. (2010) · Wiley eBooks · doi:10.1002/9781444324808.ch12 · Cited by 3
Yan, Y. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/kpne-0v56 · Cited by 3
Genetic Risk Factors for Type 2 Diabetes and Related Traits
Hertel, J. K. (2012) · NORA - Norwegian Open Research Archives · Cited by 3
Genetics of spontaneous idiopathic preterm birth: exploration of maternal and fetal genomes
McElroy, J. J. (2013) · Cited by 3
Cheng, C.-Y., Reich, D., Haiman, C. A., Tandon, A., Patterson, N., Elizabeth, S., Akylbekova, E. L., Brancati, F. L., Coresh, J., Boerwinkle, E., et al. (2012) · PLoS ONE · doi:10.1371/annotation/52e53d8e-a4bd-4419-951a-75ddcbaf6c5d · Cited by 2
XPRS: a tool for interpretable and explainable polygenic risk score
Kim, N., & Lee, S. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf143 · Cited by 3
Degechisa, S. T., & Baye, T. M. (2026) · Human Genomics · doi:10.1186/s40246-025-00878-8 · Cited by 2
Du nouveau dans la génétique du diabète de type 2
Polychronakos, C. (2008) · médecine/sciences · doi:10.1051/medsci/2008243241 · Cited by 2
SLC30A8: A Complex Road from Association to Function
Flannick, J. A., & Lowe, W. L. (2016) · Springer eBooks · doi:10.1007/978-3-319-01574-3_18 · Cited by 2
Ocular expression of cyclin‐dependent kinase 5 in patients with proliferative diabetic retinopathy
Sano, H., Namekata, K., Niki, M., Semba, K., Murao, F., Harada, T., & Mitamura, Y. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13702 · Cited by 2
Genetics of type 2 diabetes mellitus
Grarup, N., Hansen, T. F., & Pedersen, O. B. (2011) · doi:10.1093/med/9780199235292.003.1329 · Cited by 2
Self-citationRonald, C. W., So, W. Y., & Luk, A. O. Y. (2022) · Diabetes Care · doi:10.2337/dci22-0016 · Cited by 2
Self-citationTomizawa, K. (2023) · Diabetes & Obesity International Journal · doi:10.23880/doij-16000275 · Cited by 2
Improving T2D machine learning-based prediction accuracy with SNPs and younger age
Hageh, C. A., Henschel, A., Zhou, H., Zubelli, J. P., Nader, M., Chacar, S., Iakovidou, N. D., Hatzikirou, H., Abchee, A., O’Sullivan, S., et al. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.06.038 · Cited by 2
Osawa, H., Yamada, K., Tabara, Y., Ochi, M., Onuma, H., Nishida, W., Shimizu, I., Kawamoto, R., Fujii, Y., Miki, T., et al. (2008) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2007.03143.x · Cited by 2
Genetics of Type 2 Diabetes: A Review
Fakruddin, M. (2019) · Journal of Current and Advance Medical Research · doi:10.3329/jcamr.v6i1.40787 · Cited by 2
Unraveling the Influence of HHEX Risk Polymorphism rs7923837 on Multiple Sclerosis Pathogenesis
González‐Jiménez, A., López-Cotarelo, P., Agudo-Jiménez, T., Ginés, M. M., García‐Domínguez, J. M., Urcelay, E., & Espino‐Paisán, L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23147956 · Cited by 2
Genetics of Obesity and Diabetes
Vimaleswaran, K. S., & Loos, R. J. F. (2010) · Springer eBooks · doi:10.1007/978-0-387-09488-5_33 · Cited by 2
Cauchi, S., & Froguel, P. (2010) · International Journal of Diabetes Mellitus · doi:10.1016/j.ijdm.2010.05.013 · Cited by 2
Jin, H., Hong, K., Lim, J., Lee, G., Han, J. H., Go, M.-J., Lee, J., Woo, J., Park, H. K., & Oh, B. (2009) · Genes & Genomics · doi:10.1007/bf03191140 · Cited by 2
Lai, C. (2014) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-014-0380-y · Cited by 2
Parchwani, D. N., Murthy, S., Upadhyah, A., & Patel, D. (2012) · National Journal of Physiology Pharmacy and Pharmacology · doi:10.5455/njppp.2013.3.57-68 · Cited by 2
THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE
Li, J. (2011) · Cited by 2
Diabetes and Health Care: An Overview
Abhilash, M., & Augustine, R. (2014) · Apple Academic Press eBooks · doi:10.1201/b16415-6 · Cited by 2
Zhang, H., Zheng, J., Zhang, Y., Wang, Y., Li, J., Xu, X., Lin, M. T., & Li, X. (2018) · Biomedical Research - India · doi:10.4066/biomedicalresearch.29-16-2217 · Cited by 2
Genetic Studies of Schizophrenia
Riley, B. (2011) · Advances in neurobiology · doi:10.1007/978-1-4419-7197-5_13 · Cited by 4
Durbin, H. J., Yampara-Iquise, H., Rowan, T. N., Schnabel, R. D., Koltes, J. E., Powell, J. G., & Decker, J. E. (2023) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkad279 · Cited by 2
Genetic and Epigenetics of Type 2 Diabetes
Coletta, D. K. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-386456-7.02002-5 · Cited by 2
Genome-Wide Association Studies of Obesity
Hedman, Å. K., Lindgren, C. M., & McCarthy, M. I. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8642-8_3 · Cited by 2
Associations Among Multiple Markers and Complex Disease: Models, Algorithms, and Applications
Assimes, T. L., Olshen, A. B., Narasimhan, B., & Olshen, R. A. (2008) · Advances in genetics · doi:10.1016/s0065-2660(07)00416-6 · Cited by 2
Integrated genomic and BMI analysis for type 2 diabetes risk assessment
n-Aldea, D. L., Dhurandhar, E. J., Pérez‐Rodríguez, P., Klimentidis, Y. C., Tiwari, H. K., & Vazquez, A. I. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00075 · Cited by 2
Udler, M. S., & Florez, J. C. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-800685-6.00014-x · Cited by 2
Genome-Wide Association Study for Type 2 Diabetes
Imamura, M., Horikoshi, M., & Maeda, S. (2019) · Springer eBooks · doi:10.1007/978-981-13-8177-5_4 · Cited by 2
The Molecular Genetics of Type 2 Diabetes: Past, Present and Future
Tan, J. T., Chia, K. S., & Ku, C. (2009) · Wiley eBooks · doi:10.1002/9780470015902.a0021994 · Cited by 2
Translational Bioinformatics: At the Interface of Genomics and Quantitative Genetics
Beavis, W. D., Schilkey, F., & Baxter, S. M. (2007) · Crop Science · doi:10.2135/cropsci2007.08.0018ipbs · Cited by 2
Physical activity, genetic variation, and Type 2 diabetes
Kilpeläinen, T. O. (2009) · UEF eRepo (University of Eastern Finland) · Cited by 2
Söderholm, J. D. (2008) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.1115764.572647 · Cited by 2
M.Al-Daghria, N., AhmedAnsaria, M. G., Sabicoa, S., Al-Salehab, Y., J.Aljohaniac, N., Alfawazad, H., & Alharbie, M. (2018) · Endocrinology and Disorders · doi:10.31579/2640-1045/016 · Cited by 1
Tanveer, Y., Sanipini, S., Khleif, R., Tsenteradze, T., Gapizov, A., Grezenko, H., Affaf, M., Abdelaziz, A., Rehman, A., Zia, U., et al. (2023) · Cureus · doi:10.7759/cureus.46998 · Cited by 1
HDL levels modulate the impact of type 2 diabetes susceptibility alleles in older adults
Sullivan, S. O. ’., Hageh, C. A., Henschel, A., Chacar, S., Abchee, A., Zalloua, P., & Nader, M. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02039-7 · Cited by 1
Farzan, R. A. (2024) · Journal of King Saud University - Science · doi:10.1016/j.jksus.2024.103171 · Cited by 1
GWAS in Gestational Diabetes Mellitus: Research Advances
Zhou, D. (2025) · BIO Web of Conferences · doi:10.1051/bioconf/202517401018 · Cited by 1
Mahrooz, A., Safari, M., Nosrati, M., Ahmadi, M., & Alizadeh, A. (2025) · International Journal of Preventive Medicine · doi:10.4103/ijpvm.ijpvm_75_22 · Cited by 1
Pharmacogenetics for T2DM and Anti-Diabetic Drugs
Huang, Q., & Liu, Z. (2011) · InTech eBooks · doi:10.5772/21229 · Cited by 1
Hong, X., Zhang, L., Zuber, V., Zhuang, Z., Cronjé, H. T., Burgess, S., & Gill, D. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106485 · Cited by 1
Þróun holdafars og sykursýki í 40 ár á Íslandi
Þórsson, B., Aspelund, T., & Lenore, J. (2009) · Hirsla (Landspítali University Hospital) · Cited by 1
Florez, J. C. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-382227-7.00082-3 · Cited by 1
Lee, K., Lin, C., Hsieh, T., Wu, C., & Wu, L. S. (2014) · Tzu Chi Medical Journal · doi:10.1016/j.tcmj.2014.07.002 · Cited by 1
Wu, Q., Yang, H., Li, P., Liu, Y., Jing, R., Karush, J. M., Ding, G., Xue-lian, H., Liu, N., & Lian, J. (2015) · Journal of Advances in Medicine and Medical Research · doi:10.9734/bjmmr/2015/18554 · Cited by 1
Metadata
- Authors
- Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., Baker, A., Snorradottir, S., Bjarnason, H., Ng, M. C. Y., Hansen, T., Bagger, Y., Wilensky, R. L., Reilly, M. P., Adeyemo, A., Chen, Y., Zhou, J., Gudnason, V., Chen, G., Huang, H., Lashley, K., Doumatey, A., So, W.-Y., Ma, R. C. Y., Andersen, G., Borch-Johnsen, K., Jorgensen, T., van Vliet-Ostaptchouk, J. V., Hofker, M. H., Wijmenga, C., Christiansen, C., Rader, D. J., Rotimi, C., Gurney, M., Chan, J. C. N., Pedersen, O., Sigurdsson, G., Gulcher, J. R., Thorsteinsdottir, U., Kong, A., & Stefansson, K.
- Affiliations
- National University Hospital of Iceland (IS)
- deCODE Genetics (Iceland) (IS)
- Chinese University of Hong Kong (HK)
- Steno Diabetes Center Copenhagen (DK)
- Center for Clinical & Basic Research (DK)
- University of Pennsylvania (US)
- Howard University (US)
- Icelandic Heart Association (IS)
- University Medical Center Groningen (NL)
- Aarhus University (DK)
- ORCID
- Benediktsson, Rafn
- Walters, G Bragi
- Emilsson, Valur
- Baker, Adam
- Ng, Maggie C Y
- Hansen, Torben
- Reilly, Muredach P
- Adeyemo, Adebowale
- Zhou, Jie
- Gudnason, Vilmundur
- Chen, Guanjie
- Huang, Hanxia
- Lashley, Kerrie
- Doumatey, Ayo
- Andersen, Gitte
- Wijmenga, Cisca
- Christiansen, Claus
- Rader, Daniel J
- Rotimi, Charles
- Gurney, Mark
- Chan, Juliana C N
- Pedersen, Oluf
- Kong, Augustine
- Venue
- Nature Genetics
- Published
- 2007-04-26
- Volume
- 39
- Issue
- 6
- Pages
- 770-775
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2171874894
- Cited by
- 1,072
- References
- 29
- Citations by year
- 2026: 9 · 2025: 24 · 2024: 19 · 2023: 25 · 2022: 27 · 2021: 45 · 2020: 19 · 2019: 21 · 2018: 28 · 2017: 32 · 2016: 48 · 2015: 51 · 2014: 58 · 2013: 54 · 2012: 89
- FWCI
- 79.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Hirsla (Landspítali University Hospital) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- Funders
- Chinese University of Hong Kong
- National Institutes of Health (5r01dk072128-04, RR03048)
- National Human Genome Research Institute (3T37TW00041-03S2)
- Fogarty International Center (T37TW000041, 3T37TW00041-03S2)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK072128)
- National Center on Minority Health and Health Disparities (3T37TW00041-03S2)
- National Center for Research Resources (RR03048, 3T37TW00041-03S2)
- National Institute on Minority Health and Health Disparities
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- type 2 diabetes, CDKAL1, TCF7L2, genetic risk variants, insulin secretion, insulin response, homozygous carriers, European ancestry, Han Chinese, Icelandic population, genome-wide association study
- MeSH terms
- Insulin Secretion, Adult, Blood Glucose, Carrier Proteins, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Female, Gene Frequency, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Nerve Tissue Proteins, Linkage Disequilibrium, Genome, Human, Case-Control Studies, Sulfur Group Transferases, Polymorphism, Single Nucleotide, Mitochondrial Proteins, Intracellular Signaling Peptides and Proteins, TCF Transcription Factors, Transcription Factor 7-Like 2 Protein, Transcription Factor 7-Like 1 Protein
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