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

Cited by (759)

Items 301–400 of 759

1. Understanding Personalized Training Responses: Can Genetic Assessment Help?
   Craig Pickering, John Kiely · 2017 · The Open Sports Sciences Journal
2. Effects of synbiotic supplementation on gut microbiome, serum level of TNF-α, and expression of microRNA-126 and microRNA-146a in patients with type 2 diabetes mellitus: study protocol for a double-blind controlled randomized clinical trial
   Fahime Zeinali, Seyed Mohsen Aghaei Zarch, Mohammad Yahya Vahidi Mehrjardi, Seyed Mehdi Kalantar, Alireza Jahan-Mihan, Elham Karimi‐Nazari, Hossein Fallahzadeh, Mahdieh Hosseinzadeh, Masoud Rahmanian, Mohammad Reza Fazeli et al. · 2020 · Trials
3. How Genes Influence Life Span: The Biodemography of Human Survival
   Anatoliy I. Yashin, Deqing Wu, Konstantin G. Arbeev, Eric Stallard, Kenneth C. Land, Svetlana V. Ukraintseva · 2012 · Rejuvenation Research
4. Genetic predisposition to type 2 diabetes is associated with severity of coronary artery disease in patients with acute coronary syndromes
   Qiwen Zheng, Jie Jiang, Yong Huo, Dafang Chen · 2019 · Cardiovascular Diabetology
5. Clinical translation of genetic predictors for type 2 diabetes
   Amit R. Majithia, José C. Florez · 2009 · Current Opinion in Endocrinology Diabetes and Obesity
6. Risk scores for predicting incidence of type 2 diabetes in the Chinese population: the Kailuan prospective study
   Anxin Wang, Guojuan Chen, Zhaoping Su, Xiaoxue Liu, Xiangtong Liu, Haibin Li, Yanxia Luo, Lixin Tao, Jin cheng Guo, Long Liu et al. · 2016 · Scientific Reports
7. A Decade of Genetic and Metabolomic Contributions to Type 2 Diabetes Risk Prediction
   Jordi Merino, Miriam S. Udler, Aaron Leong, James B. Meigs · 2017 · Current Diabetes Reports
8. Testing calibration of risk models at extremes of disease risk
   Minkyo Song, Peter Kraft, Amit D. Joshi, Myrto Barrdahl, Nilanjan Chatterjee · 2014 · Biostatistics
9. Combined effects of multiple risk factors on asthma in school-aged children
   Sylvia E. Szentpetery, Olena Gruzieva, Erick Forno, Yueh‐Ying Han, Anna Bergström, Inger Kull, Edna Acosta‐Pérez, Angel Colón‐Semidey, María Alvarez, GLORISA J. CANINO et al. · 2017 · Respiratory Medicine
10. Interaction of diabetes genetic risk and successful lifestyle modification in the Diabetes Prevention Programme
    Sridharan Raghavan, Kathleen Jablonski, Linda M. Delahanty, Nisa M. Maruthur, Aaron Leong, Paul W. Franks, William C. Knowler, José C. Florez, Dana Dabelea · 2021 · Diabetes Obesity and Metabolism
11. Introduction to Personalized Medicine in Diabetes Mellitus
    Harry S. Glauber, Naphtali David Rishe, Eddy Karnieli · 2014 · Rambam Maimonides Medical Journal
12. Monogenic Models: What Have the Single Gene Disorders Taught Us?
    Tomasz Klupa, JAN K. SKUPIEN, Maciej Tadeusz Malecki · 2012 · Current Diabetes Reports
13. Genetics of type 2 diabetes and potential clinical implications
    Soo Heon Kwak, Kyong Soo Park · 2013 · Archives of Pharmacal Research
14. Association between parental history of diabetes and type 2 diabetes genetic risk scores in the PPP-Botnia and Framingham Offspring Studies
    Jason L. Vassy, Peter J. Shrader, Anna Elisabet Jonsson, Caroline S. Fox, Valeriya Lyssenko, Bo Isomaa, Leif Groop, James B. Meigs, Paul W. Franks · 2011 · Diabetes Research and Clinical Practice
15. Genotype risk score of common susceptible variants for prediction of type 2 diabetes mellitus in Japanese: the Shimanami Health Promoting Program (J-SHIPP study)
    Yasuharu Tabara, Haruhiko Osawa, Ryuichi Kawamoto, Hiroshi Onuma, Ikki Shimizu, Hideichi Makino, Katsuhiko Kohara, Tetsuro Miki · 2011 · Metabolism
16. Recent advances and perspectives in next generation sequencing application to the genetic research of type 2 diabetes
    Yulia A. Nasykhova, Yury A. Barbitoff, Elena A. Serebryakova, Dmitriy Katserov, Andrey Sergeyevich Glotov · 2019 · World Journal of Diabetes
17. Incremental value in outcome prediction with gene expression–based signatures in diffuse large B-cell lymphoma
    Fangxin Hong, Brad S. Kahl, Robert J. Gray · 2012 · Blood
18. Dyslipidemia in HIV-Infected Individuals: from Pharmacogenetics to Pharmacogenomics
    PHILIP E. TARR, Margalida Rotger, Amalio Telenti · 2010 · Pharmacogenomics
19. Impaired pancreatic beta cell compensatory function is the main cause of type 2 diabetes in individuals with high genetic risk: a 9 year prospective cohort study in the Chinese population
    Jing Ying Yan, Danfeng Peng, Feng Jiang, Rong Zhang, Miao Chen, Tao Wang, Dandan Yan, Shiyun Wang, Xuhong Hou, Yuqian Bao et al. · 2016 · Diabetologia
20. The Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH): Design of a pharmacogenetic Resource for Type 2 Diabetes
    Geoffrey A. Walford, Natalia Colomo, Jennifer N. Todd, Liana K. Billings, Marlene Fernandez, Bindu Chamarthi, Ana Sofia Warner, Jaclyn Davis, Katherine R. Littleton, Alicia M. Hernandez et al. · 2015 · PLoS ONE
21. Human genetics of diabetic vascular complications
    Zihui Tang, ZHOU FANG, Linuo Zhou · 2013 · Journal of Genetics
22. Design of a randomized trial of diabetes genetic risk testing to motivate behavior change: The Genetic Counseling/Lifestyle Change (GC/LC) Study for Diabetes Prevention
    Richard William Grant, James B. Meigs, José C. Florez, Elyse Richelle Park, Robert C. Green, Jessica L. Waxler, Linda M. Delahanty, Kelsey OʼBrien · 2011 · Clinical Trials
23. Total Genotype Score Modelling of Polygenic Endurance-Power Profiles in Lithuanian Elite Athletes
    Erinija Pranckevičienė, Valentina Ginevičienė, Audronė Jakaitienė, Laimonas Januska, Algirdas Utkus · 2021 · Genes
24. Genetic profiling and individualized prognosis of fracture
    Bich N. H. Tran, Nguyen D Nguyen, Vinh X Nguyen, John A. Eisman, Tuan V. Nguyen · 2010 · Journal of Bone and Mineral Research
25. Risk Classification With an Adaptive Naive Bayes Kernel Machine Model
    Jessica Minnier, Ming Yuan, Jun S. Liu, Tianxi Cai · 2014 · Journal of the American Statistical Association
26. Trends in the association of parental history of obesity over 60 years
    Caroline S. Fox, Michael J. Pencina, Nancy L. Heard‐Costa, Peter J. Shrader, Cashell E. Jaquish, Christopher J. O’Donnell, Ramachandran Srini Vasan, L. Adrienne Cupples, Ralph B. D’Agostino · 2013 · Obesity
27. Building Genetic Scores to Predict Risk of Complex Diseases in Humans: Is It Possible?
    Simin Liu, Yiqing Song · 2010 · Diabetes
28. Assessing the impact of a combined analysis of four common low-risk genetic variants on autism risk
    Jérôme Carayol, Gerard D. Schellenberg, Frédéric Torès, Jörg Hager, Andreas Ziegler, Géraldine Dawson · 2010 · Molecular Autism
29. Genetic factors associated with risk of metabolic syndrome and hepatocellular carcinoma
    Ranran Tang, Heng Liu, Yingdi Yuan, Kaipeng Xie, Pengfei Xu, Xiaoyun Liu, Juan Wen · 2017 · Oncotarget
30. Risk of diabetes among related and unrelated family members
    Kristian Aasbjerg, Caroline Holm Nørgaard, Nanna Vestergaard, Peter Søgaard, Lars Køber, Peter Ejvin Weeke, Gunnar Gislason, Christian Tobias Torp-Pedersen · 2019 · Diabetes Research and Clinical Practice
31. Influence of Feature Encoding and Choice of Classifier on Disease Risk Prediction in Genome-Wide Association Studies
    Florian Mittag, Michael Römer, Andreas Zell · 2015 · PLoS ONE
32. Understanding the Economic Value of Molecular Diagnostic Tests: Case Studies and Lessons Learned
    Adrian Towse, Diego Ossa, David Leroy Veenstra, Josh John Carlson, Louis P. Garrison · 2013 · Journal of Personalized Medicine
33. Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
    Hong-Lian Ruan, Hai-De Qin, Yin Yao Shugart, Jin‐Xin Bei, Fu-Tian Luo, Yi-Xin Zeng, Wei-Hua Jia · 2013 · PLoS ONE
34. Genetics of Type 2 Diabetes: Opportunities for Precision Medicine
    Daniel Seung Kim, Anna L. Gloyn, Joshua W. Knowles · 2021 · Journal of the American College of Cardiology
35. The importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traits
    Inês Barroso · 2021 · Diabetologia
36. Burden of disease variants in participants of the long life family Study
    Meredith S. Duncan, Harold T. Bae, Nicole Schupf, Stacy L. Andersen, Qunyuan Zhang, Thomas T. Perls, Paola Sebastiani B · 2015 · Aging
37. Preventing Type 2 Diabetes Mellitus: A Call for Personalized Intervention
    Harry S. Glauber, Eddy Karnieli · 2013 · The Permanente Journal
38. Allele Summation of Diabetes Risk Genes Predicts Impaired Glucose Tolerance in Female and Obese Individuals
    Katarzyna Linder, Robert J. Wagner, Erifili E. Hatziagelaki, Caroline Ketterer, Martin Heni, Fausto E Machicao, Norbert Stefan, Harald Staiger, Hans‐Ulrich Häring, Andreas Fritsche · 2012 · PLoS ONE
39. CDC123/CAMK1D gene rs12779790 polymorphism and rs10811661 polymorphism upstream of the CDKN2A/2B gene in women with gestational diabetes
    Maciej Tarnowski, Damian Malinowski, Krzysztof Safranow, Violetta Dziedziejko, Andrzej Pawlik · 2017 · Journal of Perinatology
40. ‘Personalized Medicine’ To Identify Genetic Risks For Type 2 Diabetes And Focus Prevention: Can It Fulfill Its Promise?
    Allen M. Spiegel, Meredith A. Hawkins · 2012 · Health Affairs
41. Development of a Predictive Model for Type 2 Diabetes Mellitus Using Genetic and Clinical Data
    Juyoung Lee, Bhumsuk Keam, Eun Jung Jang, Mi Sun Park, Ji Young Lee, Dan Bi Kim, Chang‐Hoon Lee, Tak Kim, Bermseok Oh, Heon Jin Park et al. · 2011 · Osong Public Health and Research Perspectives
42. Leveraging Genetics to Advance Type 2 Diabetes Prevention
    José C. Florez · 2016 · PLoS Medicine
43. Interactions between genetic background, insulin resistance and β‐cell function
    Steven E. Kahn, Seda Suvag, Lorena Alarcon-Casas Wright, Kristina M. Utzschneider · 2012 · Diabetes Obesity and Metabolism
44. Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population
    Sonia Savitri Anand, David Meyre, Guillaume Paré, Swneke Donovan Bailey, Changchun Xie, Xiaohe Zhang, Alexandre Montpetit, Dipika Desai, Jackie Bosch, Viswanathan Mohan et al. · 2013 · Diabetes Care
45. The association between 38 previously reported polymorphisms and psoriasis in a Polish population: High predicative accuracy of a genetic risk score combining 16 loci
    Bartłomiej M Kisiel, Katarzyna Kisiel, Konrad Szymański, Wojciech Mackiewicz, Ewelina Biało-Wójcicka, Sebastian Uczniak, Anna Fogtman, Roksana Iwanicka‐Nowicka, Marta Koblowska, Helena Kossowska et al. · 2017 · PLoS ONE
46. Enrichment of minor allele of SNPs and genetic prediction of type 2 diabetes risk in British population
    Xiaoyun Lei, Shi Huang · 2017 · PLoS ONE
47. Adamts9 is necessary for ovarian development in zebrafish
    Nichole J. Carter, Zachary Adam Roach, Mckenzie Marie Byrnes, Yong Zhu · 2019 · General and Comparative Endocrinology
48. A Classifier-based approach to identify genetic similarities between diseases
    Marc A. Schaub, Irene M. Kaplow, Marina Sirota, Chuong B. Do, Atul Janardhan Butte, Serafim Batzoglou · 2009 · Bioinformatics
49. Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation
    Hector I. Ortega, Miriam S. Udler, Anna L. Gloyn, Seth A. Sharp · 2025 · Nature Reviews Endocrinology
50. Jumping on the Train of Personalized Medicine: A Primer for Non- Geneticist Clinicians: Part 3. Clinical Applications in the Personalized Medicine Area
    Aihua Li, David Meyre · 2014 · Current Psychiatry Reviews
51. Genetic advances of type 2 diabetes in Chinese populations
    Weihui Yu, Cheng Hu, Weiping Jia · 2012 · Journal of Diabetes
52. Genetic prediction of common diseases. Still no help for the clinical diabetologist!
    Sabrina Prudente, Bruno Dallapiccola, Fabio Pellegrini, Alessandro Doria, Vincenzo Trischitta · 2012 · Nutrition Metabolism and Cardiovascular Diseases
53. Subclinical hypothyroidism in addition to common risk scores for prediction of cardiovascular disease: a 10-year community-based cohort study
    Tae Hyuk Kim, Hoon Sung Choi, Ji Cheol Bae, Jae Hoon Moon, Hyung‐Kwan Kim, Sung Hee Choi, Soo Kyung Lim, Do Joon Park, Kyong Soo Park, Hak Chul Jang et al. · 2014 · European Journal of Endocrinology
54. A Combination of CD28 (rs1980422) and IRF5 (rs10488631) Polymorphisms Is Associated with Seropositivity in Rheumatoid Arthritis: A Case Control Study
    Lucia Vernerová, František Špoutil, Miroslav Vlček, Katarína Kršková, Adela Penesová, Milada Meskova, Andrea Marko, Katarı́na Rašlová, Branislav Vohnout, Jozef Rovenský et al. · 2016 · PLoS ONE
55. Predictive biomarkers for type 2 of diabetes mellitus: Bridging the gap between systems research and personalized medicine
    Christina Kraniotou, Vasiliki Karadima, George Bellos, George Th. Tsangaris · 2018 · Journal of Proteomics
56. Practical Issues in Building Risk-Predicting Models for Complex Diseases
    Jia Kang, Judy H. Cho, Hongyu Zhao · 2010 · Journal of Biopharmaceutical Statistics
57. Annotating individual human genomes
    Ali Torkamani, Ashley A. Scott‐Van Zeeland, Eric J. Topol, Nicholas J. Schork · 2011 · Genomics
58. A New Explained-Variance Based Genetic Risk Score for Predictive Modeling of Disease Risk
    Ronglin Che, Alison A. Motsinger‐Reif · 2012 · Statistical Applications in Genetics and Molecular Biology
59. Whole-exome sequencing identifies a novel INS mutation causative of maturity-onset diabetes of the young 10
    Jing Ying Yan, Feng Jiang, Rong Zhang, Tongfu Xu, Zhou Zhou, Wei Ren, Danfeng Peng, Yong Liu, Cheng Hu, Weiping Jia · 2017 · Journal of Molecular Cell Biology
60. Driving Type 2 Diabetes Risk Scores into Clinical Practice: Performance Analysis in Hospital Settings
    Antonio Martínez-Millana, María Argente, Bernardo Valdivieso, Vicente Traver, Juan Francisco Merino-Torres · 2019 · Journal of Clinical Medicine
61. Classification of Type 2 Diabetes Genetic Variants and a Novel Genetic Risk Score Association With Insulin Clearance
    Mark O. Goodarzi, Nicholette D. Palmer, Jinrui Cui, Xiuqing Guo, Yii‐Der Ida Chen, Kent D. Taylor, Leslie J. Raffel, Lynne E. Wagenknecht, Thomas A. Buchanan, Willa A. Hsueh et al. · 2019 · The Journal of Clinical Endocrinology & Metabolism
62. Epidemiology of Diabetes
    Matthias Bernd Schulze, Frank B. Hu · 2013 · Springer eBooks
63. Change in fasting plasma glucose and incident type 2 diabetes mellitus: results from a prospective cohort study
    Mozaffary, Amirhossein, Asgari, Samaneh, Tohidi, Maryam, Kazempour-Ardebili, Sara, Azizi, Fereidoun, Hadaegh, Farzad · 2016 · BMJ Open
64. Genomic medicine at the heart of diabetes management
    Mark I. McCarthy · 2015 · Diabetologia
65. Physical activity, family history of diabetes and risk of developing hyperglycaemia and diabetes among adults in Mainland China
    Fei Xu, Youfa Wang, Robert Stuart Ware, Lap Ah Tse, David W. Dunstan, Yuanbo Liang, Z. Wang, Xin Hong, Neville G. Owen · 2011 · Diabetic Medicine
66. Risk scores for predicting type 2 diabetes: comparing axes and spades
    Nicholas J. Wareham, Simon J. Griffin · 2011 · Diabetologia
67. Advances in Risk Prediction of Type 2 Diabetes: Integrating Genetic Scores With Framingham Risk Models
    Brendan J. Keating · 2015 · Diabetes
68. Association of VARS 2‐ SFTA 2 polymorphisms with the risk of chronic hepatitis B in a Korean population
    Hyun Sub Cheong, Jeong‐Hoon Lee, Su Jong Yu, Jung‐Hwan Yoon, Hyo‐Suk Lee, Jae Youn Cheong, Sung Won Cho, Neung Hwa Park, Byung Lae Park, Suhg Namgoong et al. · 2014 · Liver International
69. Screening with OGTT alone or in combination with the Indian diabetes risk score or genotyping of TCF7L2 to detect undiagnosed type 2 diabetes in Asian Indians.
    Viswanathan Mohan, Jeremy D. Goldhaber‐Fiebert, Venkatesan Radha, Kuppan Gokulakrishnan · 2011 · PubMed Central
70. The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus
    Jin‐Won Noh, Jin Hee Jung, Jeong Eun Park, Jung Hwa Lee, Kang Hee Sim, Jumin Park, Min Hee Kim, Ki‐Bong Yoo · 2018 · Journal of Physical Therapy Science
71. Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes
    Felipe Padilla-Martínez, Gladys Emmanuella Putri Wojciechowska, Łukasz Szczerbiński, Adam Jacek Kretowski · 2021 · International Journal of Molecular Sciences
72. Biomarkers in Fasting Serum to Estimate Glucose Tolerance, Insulin Sensitivity, and Insulin Secretion
    Allison B. Goldfine, Robert W. Gerwien, Janice Ann Kolberg, Sheila O'Shea, Sarah Hamren, Glenn P Hein, Xiaomei M Xu, Mary‐Elizabeth Patti · 2010 · Clinical Chemistry
73. Nutrient intakes and dysglycaemia in populations of West African origin
    Simon George Anderson, Novie O. M. Younger, Adrian Hugh Heald, Marshall Kerr Tulloch-Reid, Wiyumile P. Simukonda, Jean Claude Mbanya, Maria D. Jackson, Beverley Balkau, Sangita Sharma, A. Tanya et al. · 2011 · British Journal Of Nutrition
74. Role of Conventional Childhood Risk Factors Versus Genetic Risk in the Development of Type 2 Diabetes and Impaired Fasting Glucose in Adulthood: The Cardiovascular Risk in Young Finns Study
    Niina Pitkänen, Markus Juonala, Tapani Rönnemaa, Matthew A. Sabin, Nina Hutri‐Kähönen, Mika A. P. Kähönen, Terho J. Lehtimäki, Jorma S.A. Viikari, Olli Tuomas Raitakari · 2016 · Diabetes Care
75. A computational framework for predicting obesity risk based on optimizing and integrating genetic risk score and gene expression profiles
    Paule V. Joseph, Yupeng Wang, Nicolaas H. Fourie, Wendy A. Henderson · 2018 · PLoS ONE
76. Prediction of 5-year risk of diabetes mellitus in relatively low risk middle-aged and elderly adults
    Hua Hu, Jing Wang, Xu Han, Yaru Li, Xiaoping Miao, Jing Yuan, Handong Yang, Meian He · 2019 · Acta Diabetologica
77. Alternating optimization for G × E modelling with weighted genetic and environmental scores: Examples from the MAVAN study.
    Alexia Jolicoeur‐Martineau, Ashley D. Wazana, Eszter Székely, Meir S Steiner, Alison S. Fleming, James L. Kennedy, Michael Joseph Meaney, Celia M.T. Greenwood · 2018 · Psychological Methods
78. Actualité de la prise en charge du diabète de type 2 en France
    Claude Jaffiol · 2009 · Bulletin de l Académie Nationale de Médecine
79. Joint analysis of multiple biomarkers for identifying type 2 diabetes in middle-aged and older Chinese: a cross-sectional study
    Hongyu Wu, Zhijie Yu, Qibin Qi, Huaixing Li, Qi Sun, Xu Lin · 2011 · BMJ Open
80. Insulin resistance in women's health: why it matters and how to identify it
    Richard S. Legro · 2009 · Current Opinion in Obstetrics & Gynecology
81. Risk prediction for complex diseases: application to Parkinson disease
    Hall, Taryn O., Wan, Jia Y., Mata, Ignacio F., Kerr, Kathleen F., Snapinn, Katherine W., Samii, Ali, Roberts, John W., Agarwal, Pinky, Zabetian, Cyrus P., Edwards, Karen L. · 2013 · Genetics in Medicine
82. Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
    Kodama, Satoru, Fujihara, Kazuya, Ishiguro, Hajime, Horikawa, Chika, Ohara, Nobumasa, Yachi, Yoko, Tanaka, Shiro, Shimano, Hitoshi, Kato, Kiminori, Hanyu, Osamu et al. · 2018 · Journal of Epidemiology
83. Personalised prevention of type 2 diabetes
    Nicholas J. Wareham · 2022 · Diabetologia
84. Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration
    A. Cecile J.W. Janssens, John P. A. Ioannidis, Sara R. Bedrosian, Paolo Boffetta, Siobhan M. Dolan, Nicole F. Dowling, Isabel Fortier, Andrew N. Freedman, Jeremy Grimshaw, Jeffrey R. Gulcher et al. · 2011 · European Journal of Epidemiology
85. Personalized Therapy by Phenotype and Genotype
    Valeriya Lyssenko, Cristina Bianchi, Stefano Del Prato · 2016 · Diabetes Care
86. Evaluation of Psoriasis Genetic Risk Based on Five Susceptibility Markers in a Population from Northern Poland
    Marta Stawczyk‐Macieja, Krzysztof Rębała, Aneta Szczerkowska‐Dobosz, Joanna Wysocka, Lidia Cybulska, Ewa Kapiñska, Agnieszka Haraś, Paulina Miniszewska, Roman Janusz Nowicki · 2016 · PLoS ONE
87. Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
    Si Ming Fung, Xin Yi Wong, Shi Xun Lee, Hui Miao, Mikael Hartman, Hwee Lin Wee · 2018 · Cancer Epidemiology Biomarkers & Prevention
88. Variants at the Endocannabinoid Receptor CB1 Gene (CNR1) and Insulin Sensitivity, Type 2 Diabetes, and Coronary Heart Disease
    José María de Miguel-Yanes, Alisa Knodle Manning, Peter J. Shrader, Jarred B. McAteer, Anuj Goel, Anders Hamsten, On Behalf of PROCARDIS, Caroline S. Fox, José C. Florez, Josée Dupuis et al. · 2011 · Obesity
89. The value of genetic risk scores in precision medicine for diabetes
    Mark I. McCarthy, Anubha Mahajan · 2018 · Expert Review of Precision Medicine and Drug Development
90. Prospective Biomarker Study in Advanced RAS Wild-Type Colorectal Cancer: POSIBA Trial (GEMCAD 10-02)
    Xabier García‐Albéniz, Vicente Alonso, Pilar Escudero, Miguel Méndez, Javier Gallego-Plazas, José Ramón Rodríguez, Antonieta Salud, Julen Fernández-Plana, Hermini Manzano, Montserrat Zanui et al. · 2019 · The Oncologist
91. The utility of a type 2 diabetes polygenic score in addition to clinical variables for prediction of type 2 diabetes incidence in birth, youth and adult cohorts in an Indigenous study population
    LAUREN E. WEDEKIND, Anubha Mahajan, Wen‐Chi Hsueh, Peng Chen, Muideen Tunbosun Olaiya, Sayuko Kobes, Madhumita Sinha, Leslie J. Baier, William C. Knowler, Mark I. McCarthy et al. · 2023 · Diabetologia
92. Predicting Diabetes: Our Relentless Quest for Genomic Nuggets
    Samuel E. Dagogo-Jack · 2012 · Diabetes Care
93. Genetics of Common Endocrine Disease: The Present and the Future
    Mark O. Goodarzi · 2016 · The Journal of Clinical Endocrinology & Metabolism
94. DNA base excision repair genetic risk scores, oxidative balance, and incident, sporadic colorectal adenoma
    Tengteng Wang, Michael G Goodman, Yan V. Sun, Bharat Thyagarajan, Myron D. Gross, Roberd M. Bostick · 2017 · Molecular Carcinogenesis
95. What Can Diabetes-Associated Genetic Variation in TCF7L2 Teach Us About the Pathogenesis of Type 2 Diabetes?
    Jon D. Adams, Adrian V Vella · 2018 · Metabolic Syndrome and Related Disorders
96. Integration of Genetic and Biometric Risk Factors for Detection of Primary Angle Closure Glaucoma
    Monisha Esther Nongpiur, Chiea Chuen Khor, Ching‐Yu Cheng, Rahat Husain, Pui Yi Boey, Annabel C Y Chew, Ching Lin Ho, Tina Tzee Ling Wong, Shamira Perera, Tien Yin Wong et al. · 2019 · American Journal of Ophthalmology
97. Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus
    Elizaveta Melnikova, Oksana Dmitrievna Rymar, Anastasiya A. Ivanova, Svetlana Vladimirovna Mustafina, Marina Shapkina, Martin Bobák, Sofia K. Malyutina, Mikhail Ivanovich Voevoda, V. N. Maksimov · 2020 · Terapevticheskii arkhiv
98. Personalized medicine in Type 2 diabetes: what does the future hold?
    Richard William Grant, Deborah J. Wexler · 2012 · Diabetes Management
99. Predictive genetic testing for the identification of high-risk groups: a simulation study on the impact of predictive ability
    Raluca Mihăescu, Ramal Moonesinghe, Muin J. Khoury, A. Cecile J.W. Janssens · 2011 · Genome Medicine
100. Genetic Determinants of Type 2 Diabetes in Asians
     Qi Qi, X Wang, Garrett Strizich, T Wang · 2015 · International Journal of Diabetology & Vascular Disease Research