The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Consistent Association of Type 2 Diabetes Risk Variants Found in Europeans in Diverse Racial and Ethnic Groups
Open accessAbstract
It has been recently hypothesized that many of the signals detected in genome-wide association studies (GWAS) to T2D and other diseases, despite being observed to common variants, might in fact result from causal mutations that are rare. One prediction of this hypothesis is that the allelic associations should be population-specific, as the causal mutations arose after the migrations that established different populations around the world. We selected 19 common variants found to be reproducibly associated to T2D risk in European populations and studied them in a large multiethnic case-control study (6,142 cases and 7,403 controls) among men and women from 5 racial/ethnic groups (European Americans, African Americans, Latinos, Japanese Americans, and Native Hawaiians). In analysis pooled across ethnic groups, the allelic associations were in the same direction as the original report for all 19 variants, and 14 of the 19 were significantly associated with risk. In summing the number of risk alleles for each individual, the per-allele associations were highly statistically significant (P<10(-4)) and similar in all populations (odds ratios 1.09-1.12) except in Japanese Americans the estimated effect per allele was larger than in the other populations (1.20; P(het) = 3.8×10(-4)). We did not observe ethnic differences in the distribution of risk that would explain the increased prevalence of type 2 diabetes in these groups as compared to European Americans. The consistency of allelic associations in diverse racial/ethnic groups is not predicted under the hypothesis of Goldstein regarding "synthetic associations" of rare mutations in T2D.
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 [39]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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 [39]
Experimental — accuracy not yet measuredIn the citing paper
“common variants are often consistent across populations — such as between Caucasians and Asians — despite differences in allele frequencies65,66.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [65]
In the citing paper
“For example, T2DM and breast cancer loci identified in European samples tend to replicate in samples of East Asian ancestry. 150,151”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [151]
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
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
Genome-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
Self-citationA 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
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
Replication 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
Wellcome 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
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
Self-citationA variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2043 · Cited by 1,072
A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics
Kolonel, L. N., Henderson, B. E., Hankin, J. H., Nomura, A. M. Y., Wilkens, L. R., Pike, M. C., Stram, D. O., Monroe, K. R., Earle, M. E., & Nagamine, F. S. (2000) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010213 · Cited by 1,024
Self-citationCommon Genetic Variation and Human Traits
Goldstein, D. B. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0806284 · Cited by 918
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–192 of 192
Evaluation of European coeliac disease risk variants in a north Indian population
Senapati, S., Gutierrez‐Achury, J., Sood, A., Midha, V., Szperl, A., Romanos, J., Zhernakova, A., Franke, L., Alonso, S., Thelma, B. K., et al. (2014) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.137 · Cited by 22
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 23
Das, S. K., & Sharma, N. (2014) · World Journal of Diabetes · doi:10.4239/wjd.v5.i2.97 · Cited by 22
Meigs, J. B., Grant, R. W., Piccolo, R. S., López, L., Florez, J. C., Porneala, B., Marceau, L. D., & McKinlay, J. B. (2014) · Diabetologia · doi:10.1007/s00125-014-3301-1 · Cited by 21
Chávez-Delgado, M. E., Vázquez-Granados, I., Rosales-Cortés, M., & Velasco‐Rodríguez, V. M. (2011) · Acta Otorrinolaringológica Española · doi:10.1016/j.otorri.2011.09.001 · Cited by 20
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
Chikowore, T., van Zyl, T., Feskens, E. J. M., & Conradie, K. R. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.09.019 · Cited by 19
Keaton, J. M., Gao, C., Guan, M., Hellwege, J. N., Palmer, N. D., Pankow, J. S., Fornage, M., Wilson, J. G., Correa, A., Rasmussen‐Torvik, L. J., et al. (2018) · Genetic Epidemiology · doi:10.1002/gepi.22126 · Cited by 19
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
Kodama, S., Fujihara, K., Ishiguro, H., Horikawa, C., Ohara, N., Yachi, Y., Tanaka, S., Shimano, H., Kato, K., Hanyu, O., et al. (2018) · Journal of Epidemiology · doi:10.2188/jea.je20160151 · Cited by 18
The Importance of Global Studies of the Genetics of Type 2 Diabetes
McCarthy, M. I. (2011) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2011.35.2.91 · Cited by 17
Lu, S.-Y., Xie, Y., Lin, K., Li, S., Zhou, Y., Ma, P., Lv, Z., & Zhou, X. (2012) · Clinical and investigative medicine · doi:10.25011/cim.v35i5.18706 · Cited by 18
Impact of TCF7L2 single nucleotide polymorphisms on hydrochlorothiazide-induced diabetes
Karnes, J. H., Gong, Y., Pacanowski, M. A., McDonough, C. W., Arwood, M. J., Langaee, T. Y., Pepine, C. J., Johnson, J. A., & Cooper‐DeHoff, R. M. (2013) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0000000000000012 · Cited by 17
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 19
Response to browning and browning
Goddard, M. E., Lee, S. H., Yang, J., Wray, N. R., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.05.022 · Cited by 15
Brennan, M. B., Tan, T., Schechter, M. C., & Fayfman, M. (2023) · Seminars in Vascular Surgery · doi:10.1053/j.semvascsurg.2023.01.002 · Cited by 15
Ali, S., Nafis, S., Ponnusamy, K., Rai, E., Sharma, S., & Bamezai, R. N. K. (2016) · The Review of Diabetic Studies · doi:10.1900/rds.2016.13.17 · Cited by 15
Genetic Associations with Spontaneous Preterm Birth
Zhang, G., Jacobsson, B., & Muglia, L. J. (2017) · New England Journal of Medicine · doi:10.1056/nejmc1713902 · Cited by 15
Inherited β-Cell Dysfunction in Lean Individuals With Type 2 Diabetes
Mathews, A. E. W., & Mathews, C. E. (2012) · Diabetes · doi:10.2337/db12-0373 · Cited by 14
Salem, S. D., Saif-Ali, R., Ismail, I. S., Al-Hamodi, Z. H., & Muniandy, S. (2014) · BMC Endocrine Disorders · doi:10.1186/1472-6823-14-2 · Cited by 14
Implications of Population History of European Romani on Genetic Susceptibility to Disease
Mendizabal, I., Lao, Ó., Marigorta, U. M., Kayser, M., & Comas, D. (2013) · Human Heredity · doi:10.1159/000360762 · Cited by 14
Qiao, J., Wu, Y., Zhang, S., Xu, Y., Zhang, J., Zeng, P., & Wang, T. (2023) · BMC Genomics · doi:10.1186/s12864-023-09425-y · Cited by 13
Chikowore, 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
Genome-Wide Studies of Type 2 Diabetes and Lipid Traits in Hispanics
Below, J. E., & Parra, E. J. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0737-3 · Cited by 15
Layton, J. C., Li, X., Shen, C., de Groot, M., Lange, L. A., Correa, A., & Wessel, J. (2018) · Clinical Medicine Insights Endocrinology and Diabetes · doi:10.1177/1179551417748942 · Cited by 13
Waters, K. M., Wilkens, L. R., Monroe, K. R., Stram, D. O., Kolonel, L. N., Henderson, B. E., Marchand, L. L., & Haiman, C. A. (2011) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-11-0019 · Cited by 12
Self-citationGenetic Variation and RNA Binding Proteins: Tools and Techniques to Detect Functional Polymorphisms
Soemedi, R., Vega, H., Belmont, J., Ramachandran, S., & Fairbrother, W. G. (2014) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-1221-6_7 · Cited by 12
Pleiotropy of type 2 diabetes with obesity
Hasstedt, S. J., Hanis, C. L., Das, S. K., & Elbein, S. C. (2011) · Journal of Human Genetics · doi:10.1038/jhg.2011.46 · Cited by 12
Mekonnen, K. T., Lee, D.-H., Cho, Y.-G., Son, A.-Y., & Seo, K.-S. (2024) · Genes · doi:10.3390/genes15111422 · Cited by 11
Palomaki, G. E., Melillo, S. N., Marrone, M. T., & Douglas, M. P. (2013) · Genetics in Medicine · doi:10.1038/gim.2013.8 · Cited by 11
A novel TCF7L2 type 2 diabetes SNP identified from fine mapping in African American women
Haddad, S. A., Palmer, J. R., Lunetta, K. L., Ng, M. C. Y., & Ruiz-Narváez, E. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172577 · Cited by 11
Chetty, L., Govender, N., Govender, G. M., & Reddy, P. (2021) · South African Family Practice · doi:10.4102/safp.v63i1.5218 · Cited by 10
Tian, C., Ye, Z., McCoy, R. G., Pan, Y., Bi, C., Gao, S., Ma, Y., Mo, C., Yu, J., Lu, T., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1335500 · Cited by 10
Genetic studies of type 2 diabetes, and microvascular complications of diabetes
Imamura, M., & Maeda, S. (2024) · Diabetology International · doi:10.1007/s13340-024-00727-4 · Cited by 9
Evaluation of Common Type 2 Diabetes Risk Variants in a South Asian Population of Sri Lankan Descent
Hassanali, N., Silva, N. M. G. D., Robertson, N., Rayner, N. W., Barrett, A., Bennett, A. J., Groves, C. J., Matthews, D. R., Katulanda, P., Frayling, T. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098608 · Cited by 9
GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide
Chande, A. T., Wang, L., Rishishwar, L., Conley, A. B., Norris, E. T., Valderrama-Aguirre, A., & Jordan, I. K. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky415 · Cited by 9
Qiao, J., Shao, Z., Wu, Y., Zeng, P., & Wang, T. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03637-8 · Cited by 8
Frasco, M. A., Karim, R., Berg, D. V. D., Watanabe, R. M., Anastos, K., Cohen, M. H., Gange, S. J., Gustafson, D., Liu, C., Tien, P. C., et al. (2014) · AIDS · doi:10.1097/qad.0000000000000366 · Cited by 8
Genetic Polymorphism of Head and Neck Cancers in African Populations: A Systematic Review
Okoturo, E., Osasuyi, A., & Opaleye, T. (2020) · OTO Open · doi:10.1177/2473974x20942202 · Cited by 7
Melnikova, E., Mustafina, S. V., Rymar, O. D., Ivanova, A. A., Щербакова, Л. В., Bobák, M., Malyutina, S. K., Voevoda, M. I., & Maksimov, V. N. (2022) · Diabetes Mellitus · doi:10.14341/dm12767 · Cited by 6
Beugnot, A., Mary‐Huard, T., Bauland, C., Combes, V., Madur, D., Lagardère, B., Palaffre, C., Charcosset, A., Moreau, L., & Fiévet, J. (2023) · Theoretical and Applied Genetics · doi:10.1007/s00122-023-04431-w · Cited by 8
Assessment of polygenic risk of hypertension
Limonova, A. S., Ershova, A. I., Kiseleva, A. V., Ramensky, V. E., Vyatkin, Y. V., Kutsenko, V. A., Meshkov, A. N., & Drapkina, O. M. (2023) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2022-3464 · Cited by 6
Diao, Y., & Qing, X. (2020) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.23463 · Cited by 5
In Search of Complex Disease Risk through Genome Wide Association Studies
Alonso, L., Morán, I., Salvoro, C., & Torrents, D. (2021) · Mathematics · doi:10.3390/math9233083 · Cited by 4
Zhang, S., Jiang, Z., & Zeng, P. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05053-6 · Cited by 4
Ethnic differences in leptin and adiponectin levels between Greenlandic Inuit and Danish children
Munch‐Andersen, T., Sørensen, K., Aachmann‐Andersen, N. J., Aksglæde, L., Juul, A., & Helge, J. W. (2013) · International Journal of Circumpolar Health · doi:10.3402/ijch.v72i0.21458 · Cited by 4
Direct-to-Consum er Genetic Testing: Personalized Medicine in Evolution
Leachman, S. A., MacArthur, D. G., Angrist, M. H., Gray, S. W., Bradbury, A. R., & Vorhaus, D. B. (2011) · Cited by 4
Бондарь, И. А., Филипенко, М. Л., Шабельникова, О. Ю., & Sokolova, E. A. (2014) · Сибирский журнал клинической и экспериментальной медицины · doi:10.29001/2073-8552-2014-29-2-75-78 · Cited by 3
Transferability Across Ethnic Groups
Saxena, R., & Palmer, N. D. (2016) · Springer eBooks · doi:10.1007/978-3-319-01574-3_8 · Cited by 3
Florez, J. C., Udler, M. S., & Hanson, R. L. (2021) · Europe PMC (PubMed Central) · Cited by 3
Positioning Personal Polygenic Risk score against the population backgroundPreprint
Leonenko, G., Baker, E. A., Schmidt, K. M., Escott‐Price, V., & Initiative, T. A. D. N. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/813170 · Cited by 3
Extending genome-wide association studies to admixed cohorts with high degrees of relatedness
Tan, T., Vergara-Lope, A., Martínez‐Magaña, J. J., Shah, N. N., Lin, Y.-S., Yuan, K., Berumen-Campos, J., Alegre-Díaz, J., Kuri-Morales, P. A., Tapia‐Conyer, R., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02689-6 · Cited by 2
Cross‐Ancestry Polygenic Prediction: Comparing Methods and Assessing Transferability Across Traits
Momin, M. M., Zhou, X., Ahmed, M., Hyppönen, E., Benyamin, B., & Lee, S. H. (2026) · Genetic Epidemiology · doi:10.1002/gepi.70029 · Cited by 2
Lai, C. (2014) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-014-0380-y · Cited by 2
Genomic, Personalized Medicine and Public Health
GWINN, M. L., & Khoury, M. J. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-382227-7.00018-5 · Cited by 2
Salazar‐Sánchez, L., Madrigal-Sánchez, J. J., Gonzalez-Martinez, P., Paredes, E. M., Vera-Gamboa, L., Pavía‐Ruz, N., & Valadéz-González, N. (2016) · InTech eBooks · doi:10.5772/64548 · 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
Alipour, N., Farsi, F., Bioky, A. A., Tavasoli, N., Bidkhori, M., Sehatpour, F., Khalagi, K., Fahimfar, N., Ebrahimpur, M., Ostovar, A., et al. (2025) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-025-01721-6 · Cited by 1
Zhang, X., van den Munckhof, I., Rutten, J. H. W., Netea, M. G., Groen, A. K., & Zwinderman, A. H. (2019) · Nutrition and Diabetes · doi:10.1038/s41387-019-0082-0 · Cited by 1
Balashova, M. S., Nikitin, I. A., Жученко, Н. А., Velina, D. A., Skripkina, A. S., Zilberman, А. М., Skorobogatova, P. S., Morozova, L. D., & Mutallibzoda, S. (2025) · Health Risk Analysis · doi:10.21668/health.risk/2025.4.18 · Cited by 1
Approaches for Dissection of the Genetic Basis of Complex Disease Development in Human
Nicole, J., Bozaoglu, K., Abdul, W., & Jowett, J. B. M. (2012) · InTech eBooks · doi:10.5772/35074 · Cited by 1
Kodama, S., Fujihara, K., Ishiguro, H., Horikawa, C., Ohara, N., Yachi, Y., Tanaka, S., Shimano, H., Kato, K., Hanyu, O., et al. (2016) · Annals of Epidemiology · doi:10.1016/j.annepidem.2016.09.004 · Cited by 1
Genotype Prediction of Adult Type 2 Diabetes From Adolescence in a Multiracial Population
(2012) · PEDIATRICS · doi:10.1542/peds.2012-1132d · Cited by 1
Vaquero, A. R. (2013) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2013.tde-28052013-102800 · Cited by 1
Chetty, L. (2022) · DUT Open Scholar (Durban University of Technology) · doi:10.51415/10321/4515 · Cited by 1
Novel extensions of label propagation for biomarker discovery in genomic data
Stokes, M. E. (2014) · D-Scholarship@Pitt (University of Pittsburgh)
Genetic susceptibility for type 2 diabetes mellitus among North American Aboriginals
Byrne, C. D., & Nkongolo, K. K. C. (2012) · International Journal of Medicine and Medical Sciences · doi:10.5897/ijmms12.082
Genetic architecture of complex disease in humans: a cross-population exploration
Marigorta, M., & Urko (2012) · Repositori digital de la UPF (Universitat Pompeu Fabra)
Association Analysis of Rare Variants in Sequencing Studies
Tang, Z.-Z. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/gff8-5122
Racial and Ethnic Disparities in Type-2 Diabetes: A Multilevel Perspective
Piccolo, R. S. (2016) · LSHTM Research Online (London School of Hygiene and Tropical Medicine) · doi:10.17037/pubs.02537689
Fine-Mapping of Type 2 Diabetes Loci
Scott, L. J., & Mohlke, K. L. (2016) · Springer eBooks · doi:10.1007/978-3-319-01574-3_6
GWAS replicability across time and space
Marigorta, U. M., Rodríguez, J. A., & Navarro, A. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107337459.006
Genomics of Type 2 Diabetes Mellitus and Glycemic Traits
Gupta, V., & Walia, G. K. (2017) · International Journal of Human Genetics · doi:10.1080/09723757.2017.1383655
Single nucleotide polymorphisms in human health and disease: Towards resolution of a conundrum
Joshi, N. (2014) · Biomedical Research Journal · doi:10.4103/2349-3666.240660
Maness, L. R., Barber, J. L., & Okoyeh, J. N. (2018) · Advances in Diabetes and Metabolism · doi:10.13189/adm.2018.060201
Diabetes, Cognitive Decline, and Genome-Wide Associations
Abbatecola, A. M., & Lattanzio, F. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-407824-6.00037-9
Voight, B. F. (2021) · Springer eBooks · doi:10.1007/978-3-030-61646-5_7
Nürnberger, J. I. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735412067.793562999
Drapkina, O. M., Блохина, А. В., Borisova, A. L., Bukaeva, A. A., Voshev, D. V., Garbuzova, E. V., Dzhioeva, O. N., Drozdova, L. Y., Олеговна, Е. С., Ershova, A. I., et al. (2023) · doi:10.15829/ropniz-d95-2023
Zhang, J., Zhang, S., Qiao, J., Wang, T., & Zeng, P. (2023) · Figshare · doi:10.6084/m9.figshare.23505076
Systematic Review and Phenome‐Wide Scans of Genetic Associations with Vascular Cognitive Impairment
Diany, R., & Taliun, S. A. G. (2024) · Advanced Biology · doi:10.1002/adbi.202300692
Gosling, A. L. (2012) · Otago University Research Archive (University of Otago)
Qiao, J., Shao, Z., Wu, Y., Zeng, P., & Wang, T. (2022) · Figshare · doi:10.6084/m9.figshare.21192253
Zhang, J., Zhang, S., Qiao, J., Wang, T., & Zeng, P. (2023) · Figshare · doi:10.6084/m9.figshare.23505079
Zhang, S., Jiang, Z., & Zeng, P. (2024) · Figshare · doi:10.6084/m9.figshare.25376120
An analysis and projection of diabetes prevalence in East England region
Xie, Y., Anjum, N., Pierscionek, B. K., Kiran, M., Partac, M., & Wang, Y. (2026) · BMC Public Health · doi:10.1186/s12889-026-26433-1
Balashova, M. S., Mutallibzoda, S., Velina, D. A., Klein, E., Chernyavskaya, O., Posnova, G. V., Karamnova, N. S., & Nikitin, I. A. (2026) · Экспериментальная и клиническая гастроэнтерология · doi:10.31146/1682-8658-ecg-244-12-51-61
Fine-scale genetic population structure in France
Giemza, J. (2019) · theses.fr (ABES) · doi:10.70675/c60c9744z2645z4744z9de6z71c876e925cc
Positioning personal polygenic risk score against the population background
Escott‐Price, V., Leonenko, G., & Schmidt, K. M. (2026) · Research in Statistics · doi:10.1080/27684520.2026.2685935
Data analysis code for Tractor-Mix
Tan, T., Vergara-Lope, A., & Martínez-Magaña, J. J. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.19576962
Metadata
- Authors
- Waters, K. M., Stram, D. O., Hassanein, M. T., Le Marchand, L., Wilkens, L. R., Maskarinec, G., Monroe, K. R., Kolonel, L. N., Altshuler, D., Henderson, B. E., & Haiman, C. A.
- Affiliations
- University of Southern California (US)
- USC Norris Comprehensive Cancer Center (US)
- University of Hawaiʻi at Mānoa (US)
- Broad Institute (US)
- Corresponding author
- Waters, Kevin M.
- Haiman, Christopher A.
- ORCID
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-08-26
- Volume
- 6
- Issue
- 8
- Pages
- e1001078
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC2928808
- OpenAlex
- W2145604455
- Cited by
- 191
- References
- 33
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 7 · 2023: 9 · 2022: 8 · 2021: 8 · 2020: 3 · 2019: 10 · 2018: 7 · 2017: 10 · 2016: 16 · 2015: 7 · 2014: 23 · 2013: 18 · 2012: 33
- FWCI
- 13.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- National Human Genome Research Institute (U01HG004802)
- National Cancer Institute (CA63464, U01CA063464, R37CA054281, R01CA054281, R01CA063464, CA 54281)
- 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 › Forensic and Genetic Research
- Keywords
- type 2 diabetes, genetic risk variants, common genetic variants, European Americans, African Americans, Hispanic Americans, Japanese Americans, Native Hawaiians, ethnic differences in diabetes risk
- MeSH terms
- Adult, Aged, Alleles, Diabetes Mellitus, Type 2, Ethnicity, Europe, Female, Humans, Male, Middle Aged, Genetic Variation, Case-Control Studies, Genetic Predisposition to Disease, 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
