Genotype score in addition to common risk factors for prediction of type 2 diabetes

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1. Predicting type 2 diabetes using genetic and environmental risk factors in a multi-ethnic Malaysian cohort
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2. Exercise training, genetics and type 2 diabetes‐related phenotypes
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3. A multianalytical approach to evaluate the association of 55 SNPs in 28 genes with obesity risk in N orth I ndian adults
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4. Genetic risk score of common genetic variants for impaired fasting glucose and newly diagnosed type 2 diabetes influences oxidative stress
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5. A Comparison of B ayesian and Frequentist Approaches to Incorporating External Information for the Prediction of Prostate Cancer Risk
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6. 5-HTTLPR, HTR1A, and HTR2A cumulative genetic score interacts with mood reactivity to predict mood-congruent gaze bias
   Seth G. Disner, John E. McGeary, Tony T. Wells, Alissa J. Ellis, Christopher Graham Beevers · 2014 · Cognitive Affective & Behavioral Neuroscience
7. Combining genetic markers and clinical risk factors improves the risk assessment of impaired glucose metabolism
   Stéphanie-May Ruchat, Marie‐Claude Vohl, Stanley John Weisnagel, Tuomo Rankinen, Claude Bouchard, Louis Përusse · 2010 · Annals of Medicine
8. Syntropy, Genetic Testing and Personalized Medicine
   Valery Pavlovich Puzyrev, Oksana A. Makeeva, Maxim B. Freidin · 2010 · Personalized Medicine
9. Innate biology versus lifestyle behaviour in the aetiology of obesity and type 2 diabetes: the GLACIER Study
   Alaitz Poveda, Robert Wilhelm Koivula, Shafqat Ahmad, Inês Barroso, Göran Hallmans, Ingegerd Johansson, Frida Renström, Paul W. Franks · 2015 · Diabetologia
10. Pseudohypoparathyroidism type 1a and insulin resistance in a child
    Benjamin Udoka Nwosu, Mary Lee · 2009 · Nature Reviews Endocrinology
11. Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese
    Ping Rao, Yong Zhou, Siqi Ge, An-Xin Wang, Xin-Wei Yu, Mohamed Ali Alzain, Andrea Verónica, Jing Qiu, Manshu Song, Jie Zhang et al. · 2016 · International Journal of Environmental Research and Public Health
12. The New Perspectives on Genetic Studies of Type 2 Diabetes and Thyroid Diseases
    Min Xu, Yufang Bi, Bin Cui, Jie Hong, Weiqing Wang, Guang Ning · 2013 · Current Genomics
13. Type 2 diabetes mellitus in pediatrics: a new challenge
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14. Genetic predisposition to left ventricular dysfunction: a multigenic and multi-analytical approach
    Avshesh Mishra, Anshika Srivastava, Tulika Mittal, Naveen Garg, Balraj Mittal · 2014 · Gene
15. Genome-wide association studies and large-scale collaborations in epidemiology
    Bruce M. Psaty, Albert Hofman D · 2010 · European Journal of Epidemiology
16. Clinical worthlessness of genetic prediction of common forms of diabetes mellitus and related chronic complications
    Raffaella Buzzetti, Sabrina Prudente, Massimiliano Copetti, Marco Dauriz, Simona Zampetti, Monia Garofolo, Giuseppe Penno, Vincenzo Trischitta · 2016 · Nutrition Metabolism and Cardiovascular Diseases
17. Mapping genetic research in non-communicable disease publications in selected Arab countries: first step towards a guided research agenda
    Zeina Jamaluddine, Abla Mehio Sibai, Shahd Othman, Soha Nabil Yazbek · 2016 · Health Research Policy and Systems
18. Predicting risk of type 2 diabetes mellitus in Korean adults aged 40–69 by integrating clinical and genetic factors
    Soo-Hwan Kim, Eun-Sol Lee, Jinho Yoo, Yangseok Kim · 2018 · Primary care diabetes
19. Identification of Circulating Sphingosine Kinase-Related Metabolites for Prediction of Type 2 Diabetes
    Qi Chen, Wei Wang, Mingfeng Xia, Youli Lu, Hua Bian, Yu Chen, Xiao-Ying Li, Mathew Alexander Vadas, Xin Gao, Huan‐Dong Lin et al. · 2020 · Journal of Translational Medicine
20. Genetic risk of Parkinson’s disease in the general population
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21. Gene–Diet Interactions in Diabetes Mellitus: Current Insights and the Potential of Personalized Nutrition
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22. Genetic Risk, Healthy Lifestyle Adherence, and Risk of Developing Diabetes in the Japanese Population
    Masato Takase, Naoki Nakaya, Tomohiro Nakamura, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Ikumi Kanno, Kotaro Nochioka, Naho Tsuchiya et al. · 2024 · Journal of Atherosclerosis and Thrombosis
23. Prediction and classification of diabetes mellitus using genomic data
    Joseph Bamidele Awotunde, Femi Emmanuel Ayo, Rasheed Gbenga Jimoh, Roseline Oluwaseun Ogundokun, Opeyemi Emmanuel Matiluko, Idowu Dauda Oladipo, Muyideen AbdulRaheem · 2021 · Elsevier eBooks
24. Genetic susceptibility, obesity and lifetime risk of type 2 diabetes: The ARIC study and Rotterdam Study
    Symen Ligthart, Natalie R. Hasbani, Fariba Ahmadizar, Thijs T. W. van Herpt, Maarten J.G. Leening, André Gerardus Uitterlinden, Eric J.G. Sijbrands, Alanna C. Morrison, Eric Boerwinkle, James S. Pankow et al. · 2021 · Diabetic Medicine
25. Changing relative contribution of abdominal obesity and a family history of diabetes on prevalence of diabetes mellitus in K orean men and women aged 30–49 years from 2001 to 2010 从2001至2010年在韩国30–49岁年龄段的男性与女性中腹型肥胖以及糖尿病家族史对糖尿病患病率相对贡献度的变化
    Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Kyong Soo Park, Min Kyong Moon · 2014 · Journal of Diabetes
26. The Future of Genomic Testing in Primary Care: The Changing Face of Personalized Medicine
    Gillian Bartlett, Vaso Rahimzadeh, Cristina Longo, Lori A. Orlando, Martin G. Dawes, Jean Lachaîne, Murielle Bochud, Fred Paccaud, Howard Bergman, Laura Crimi et al. · 2014 · Personalized Medicine
27. Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes
    Antonio Martínez-Millana, José-Luis Bayo-Montón, María Argente, Carlos Fernández-Llatas, Juan Francisco Merino-Torres, Vicente Traver-Salcedo · 2017 · Sensors
28. Type 2 Diabetes Genetic Risk Scores Are Associated With Increased Type 2 Diabetes Risk Among African Americans by Cardiometabolic Status
    Jill C. Layton, Xiaochen Li, Changyu Shen, Mary de Groot, Leslie A. Lange, Adolfo Correa, Jennifer Wessel · 2018 · Clinical Medicine Insights Endocrinology and Diabetes
29. Multiple Biomarkers Improved Prediction for the Risk of Type 2 Diabetes Mellitus in Singapore Chinese Men and Women
    Yeli Wang, Woon‐Puay Koh, Xueling Sim, Jian‐Min Yuan, An Pan · 2019 · Diabetes & Metabolism Journal
30. Agreement between Type 2 Diabetes Risk Scales in a Caucasian Population: A Systematic Review and Report
    Jose Angel Ayensa-Vazquez, Alfonso Leiva, Pedro Tauler, Ángel Arturo López‐González, Antoni Aguiló, Matías Tomás Salvá, Miquel Bennasar‐Veny · 2020 · Journal of Clinical Medicine
31. Parental history of type 2 diabetes and cardiometabolic biomarkers in offspring
    Ali Abbasi, Eva Corpeleijn, Yvonne T. van der Schouw, Ronald P. Stolk, Annemieke M. W. Spijkerman, Daphne L. van der A, Gerjan Navis, Stephan J. L. Bakker, Joline W. J. Beulens · 2012 · European Journal of Clinical Investigation
32. Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes
    Vincenzo Forgetta, Julyan Keller‐Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John P. Kemp, John A. Morris, John А. Kanis, Douglas P. Kiel, Eugene Vincent McCloskey et al. · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
33. Updated risk factors should be used to predict development of diabetes
    Bethel, Mary Angelyn, Hyland, Kristen A., Chacra, Antonio R., Deedwania, Prakash, Fulcher, Gregory R., Holman, Rury R., Jenssen, Trond, Levitt, Naomi S., McMurray, John J.V., Boutati, Eleni et al. · 2017 · Journal of Diabetes and its Complications
34. Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational Diabetes
    Jaewon Choi, Hyunsuk Lee, Alan Kuang, Alicia Huerta‐Chagoya, Denise M. Scholtens, Dae-Ho Choi, Minseok Han, William L. Lowe, Alisa Knodle Manning, Hak Chul Jang et al. · 2024 · Diabetes Care
35. Metabolic and Genetic Markers Improve Prediction of Incident Type 2 Diabetes: A Nested Case-Control Study in Chinese
    Liu, Jia, Wang, Lu, Qian, Yun, Shen, Qian, Yang, Man, Dong, Yunqiu, Chen, Hai, Yang, Zhijie, Liu, Yaqi, Cui, Xuan et al. · 2022 · The Journal of Clinical Endocrinology & Metabolism
36. Physical activity in prevention and treatment of diabetes
    Péter Apor · 2009 · Orvosi Hetilap
37. From genotype to human β cell phenotype and beyond
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38. Association of a 62 Variants Type 2 Diabetes Genetic Risk Score With Markers of Subclinical Atherosclerosis
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39. Genomics of Heart Failure
    Raghava S. Velagaleti, Christopher J. O’Donnell · 2009 · Heart Failure Clinics
40. Estimating the predictive ability of genetic risk models in simulated data based on published results from genome-wide association studies
    Suman Kundu, Raluca Mihăescu, Catherina M. C. Meijer, Rachel Bakker, A. Cecile J.W. Janssens · 2014 · Frontiers in Genetics
41. Current Genetic Data Do Not Improve the Prediction of Type 2 Diabetes Mellitus: The CoLaus Study
    Rémy Schmid, Péter Vollenweider, François Bastardot, Julien Vaucher, Gérard Waeber, Pedro Manuel Marques-Vidal · 2012 · The Journal of Clinical Endocrinology & Metabolism
42. The efficacy of family history, genetic risk score and physical activity in distinguishing type 2 diabetes prevalence
    Łukasz Szczerbiński, Joanna Gościk, Witold Bauer, Natalia Wawrusiewicz‐Kurylonek, Magdalena Paczkowska‐Abdulsalam, Magdalena Niemira, Anna Citko, Edyta Adamska-Patruno, Maria Górska, Adam Jacek Kretowski · 2019 · Polskie Archiwum Medycyny Wewnętrznej
43. Early Prediction for Prediabetes and Type 2 Diabetes Using the Genetic Risk Score and Oxidative Stress Score
    Ximei Huang, Youngmin Han, Kyunghye Jang, Minjoo Kim · 2022 · Antioxidants
44. Associations of Clinical Risk Factors and Novel Biomarkers With Age at Onset of Type 2 Diabetes
    Jun‐Xiang Chen, Tingting Geng, Yanbo Zhang, Yi Wang, Rui Li, Zixin Qiu, Yuexuan Wang, KUN YU YANG, Bing-Fei Zhang, Hua-Ling Ruan et al. · 2023 · The Journal of Clinical Endocrinology & Metabolism
45. Use of genomic panels to determine risk of developing type 2 diabetes in the general population: a targeted evidence-based review
    Glenn E. Palomaki, Stephanie N Melillo, Michael T. Marrone, Michael P. Douglas · 2013 · Genetics in Medicine
46. ‘Start the Conversation’: The New South Wales (Australia) Family Health History Campaign
    Kate L. A. Dunlop, Kristine K Barlow-Stewart · 2009 · Public Health Genomics
47. Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk prediction
    Yiming Wu, Runyu Jing, Yongcheng Dong, Qifan Kuang, Yan Li, Ziyan Huang, Wei Gan, Yue Xue, Menglong Li, Menglong Li · 2017 · Scientific Reports
48. An exploratory model for the non-fatal drowning risks in children in Guangdong, China
    Haofeng Xu, Xuhao Zhu, Zhi-shan Zhou, Yanjun Xu, Yongjian Zhu, Lifeng Lin, Jinying Huang, Ruilin Meng · 2019 · BMC Public Health
49. A Strategy for Analyzing Gene—Nutrient Interactions in Type 2 Diabetes
    Carolyn Wise, Jim Kaput · 2009 · Journal of Diabetes Science and Technology
50. Collective effects of common SNPs and improved risk prediction in lung cancer
    Xiaoyun Lei, Dejian Yuan, Zuobin Zhu, Shi Huang · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
51. Assessment of risk and prevention of type 2 diabetes in primary health care
    Timo Saaristo · 2011
52. What is a functional locus? Understanding the genetic basis of complex phenotypic traits
    Edward Ruiz-Narváez · 2011 · Medical Hypotheses
53. Metabolic Profiling in Personalized Medicine: Bridging the Gap Between Knowledge and Clinical Practice in Type 2 Diabetes
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54. Alleles that increase risk for type 2 diabetes mellitus are not associated with increased risk for Alzheimer's disease
    Petroula Proitsi, Michelle K. Lupton, Latha Velayudhan, Gillian Hunter, Stephen Newhouse, Kuang Lin, Isabella Fogh, Magda Tsolaki, Makrina Daniilidou, Megan Pritchard et al. · 2014 · Neurobiology of Aging
55. Influence of Insulin Receptor Single Nucleotide Polymorphisms on Glycaemic Control and Formation of Anti-Insulin Antibodies in Diabetes Mellitus
    Laura Massarenti, Christina Aniol-Nielsen, Christian Enevold, Henrik Toft‐Hansen, Claus Henrik Nielsen · 2022 · International Journal of Molecular Sciences
56. Utilizing Genetic Predisposition Score in Predicting Risk of Type 2 Diabetes Mellitus Incidence: A Community-based Cohort Study on Middle-aged Koreans
    Hye Yin Park, Hyung Jin Choi, Yun‐Chul Hong · 2015 · Journal of Korean Medical Science
57. Combatir la epidemia de diabetes mellitus tipo 2 en Latinoamérica: características especiales que demandan acciones innovadoras
    Patricio A López-Jaramillo, Juan José Rey, Diego Gómez-Arbeláez, Yudy A. Rodríguez, José López-López · 2011 · Clínica e Investigación en Arteriosclerosis
58. The Impact of Personalized Medicine of Type 2 Diabetes Mellitus in the Global Health Context
    Pierre P. M. Thomas, Salih Alshehri, Henk J. van Kranen, Elena Ambrosino · 2016 · Personalized Medicine
59. Using Personalized Medicine in the Management of Diabetes Mellitus
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60. Metabolic Syndrome and Mild to Moderate Chronic Kidney Disease Among Minorities
    Sankar Dass Navaneethan, Jesse D. Schold, Titte R. Srinivas · 2010 · Seminars in Nephrology
61. Genetic influences on the association between fetal growth and susceptibility to type 2 diabetes
    Beverley M. Shields, Rachel M. Freathy, Andrew Tym Hattersley · 2010 · Journal of Developmental Origins of Health and Disease
62. Quantitative analyses of adiposity dynamics in zebrafish
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63. Mutational Status of SMAD4 and FBXW7 Affects Clinical Outcome in TP53–Mutated Metastatic Colorectal Cancer
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64. Patients with PSOriasis and Suppurative Hidradenitis (PSO-SH) share genetic risk factors and are at risk of increased morbidity
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65. Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): explanation and elaboration
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66. A Combined Analysis of 48 Type 2 Diabetes Genetic Risk Variants Shows No Discriminative Value to Predict Time to First Prescription of a Glucose Lowering Drug in Danish Patients with Screen Detected Type 2 Diabetes
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67. Sensitivity and Specificity Can Change in Opposite Directions When New Predictive Markers Are Added to Risk Models
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68. From data to the decision: A software architecture to integrate predictive modelling in clinical settings
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69. Type 2 diabetes in Scottish military veterans: a retrospective cohort study
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70. Assessment of research models for testing gene–environment interactions
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71. Randomized Controlled Trial of the Effectiveness of Genetic Counseling and a Distance, Computer-Based, Lifestyle Intervention Program for Adult Offspring of Patients with Type 2 Diabetes: Background, Study Protocol, and Baseline Patient Characteristics
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72. Reclassification of predictions for uncovering subgroup specific improvement
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73. Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes
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74. Impact of a Booklet about Diabetes Genetic Susceptibility and Its Prevention on Attitudes towards Prevention and Perceived Behavioral Change in Patients with Type 2 Diabetes and Their Offspring
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75. Prediction of incident type 2 diabetes mellitus based on a twenty-year follow-up of the Ventimiglia heart study
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76. Factors Motivating Individuals to Consider Genetic Testing for Type 2 Diabetes Risk Prediction
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77. Allelic interaction effects of DNA damage and repair genes on the predisposition to age-related cataract
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78. Transportability of the updated diabetes prediction model from Atherosclerosis Risk in Communities Study to a Middle Eastern adult population: community-based cohort study
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79. Prediction of type 2 diabetes: the dawn of polygenetic testing for complex disease
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80. Prognostic value of the postcoital test for spontaneous pregnancy
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81. Genetic Susceptibility to Type 2 Diabetes and Implications for Therapy
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82. Aspects of the involvement, confidence and knowledge of South African registered dietitians regarding genetics and nutritional genomics
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83. Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population
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84. Will family studies return to prominence in human genetics and genomics? Rare variants and linkage analysis of complex traits
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85. Will Formal Genetics Become Dispensable?
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86. Preimplantation Genetic Testing in the 21st Century: Uncharted Territory
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87. Genetic Testing and Type 2 Diabetes Risk Awareness
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88. The SH2B1 obesity locus and abnormal glucose homeostasis: Lack of evidence for association from a meta-analysis in individuals of European ancestry
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89. Can Genetic Information Change Patient Behavior to Reduce Type 2 Diabetes Risk?
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90. Genetic Variants of Diabetes Risk and Incident Cardiovascular Events in Chronic Coronary Artery Disease
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91. Ethnicity Considerations in Diagnosing Glucose Disorders
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92. Prenatal Exposure to Serotonin Reuptake Inhibitors and Congenital Heart Anomalies: An Exploratory Pharmacogenetics Study
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93. Risk Prediction Modeling on Family-Based Sequencing Data Using a Random Field Method
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94. High expression of CD52 in adipocytes: a potential therapeutic target for obesity with type 2 diabetes
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95. Discovering missing heritability and early risk prediction for type 2 diabetes: a new perspective for genome-wide association study analysis with the Nurses’ Health Study and the Health Professionals’ Follow-Up Study
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96. Should Psychiatry Be Precise? Reduction, Big Data, and Nosological Revision in Mental Health Research
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97. Progress in the study of genetic disease: bringing new light to complex problems
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98. Diabetes mellitus
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99. Bagging Optimal ROC Curve Method for Predictive Genetic Tests, with an Application for Rheumatoid Arthritis
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100. Determining Genetic Risk Factors for Pediatric Type 2 Diabetes
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