ReadYourDNA

Type 2 Diabetes

Where your DNA places you among other people, and the studies behind it.

General information

Not tailored to your result, and not medical advice

Maintain a Healthy Body Weight: Excess body weight is the leading modifiable risk factor for T2D. In the Diabetes Prevention Program, adults with prediabetes who reached at least 7% weight loss plus regular activity cut their diabetes incidence by 58%, and follow-up shows the benefit lasts for years. Weight management is among the highest-impact steps, including for people with elevated genetic risk. Diabetes Prevention Program (PMC)

Exercise Regularly: The American Diabetes Association recommends at least 150 minutes per week of moderate-to-vigorous activity spread across at least three days, plus 2-3 weekly resistance sessions. Regular activity improves insulin sensitivity and helps reduce visceral fat. In the DPP, meeting the activity goal was associated with lower diabetes risk even independent of weight loss. Diabetes Care (ADA position statement, PMC)

Optimize Diet Quality: Favor whole grains, legumes, vegetables, fruits, and lean proteins over ultra-processed foods. Higher dietary fiber slows glucose absorption and supports glycemic control. Greater adherence to a Mediterranean-style diet is associated with roughly a 20-30% lower risk of T2D in pooled studies and trials. Limiting sugar-sweetened beverages is one of the more consistently beneficial dietary changes. British Journal of Nutrition (systematic review, PMC)

Protect Sleep Quality: Short sleep and poor sleep quality are each associated with a higher risk of T2D in large meta-analyses, and laboratory studies show that sleep restriction lowers insulin sensitivity and glucose tolerance. Shift work and circadian disruption are also linked to elevated risk. Aiming for consistent, good-quality sleep of around 7-8 hours supports metabolic health. Frontiers in Endocrinology (meta-analysis, PMC)

Catch Prediabetes While It Is Reversible: Fasting glucose and HbA1c detect prediabetes years before symptoms appear, which is the window where lifestyle change is most effective. These are ordinary blood tests commonly included in general health checks, and elevated genetic risk is a good reason to know your own numbers. Centers for Disease Control and Prevention

Genetics vs Environment

How much of this is genetic?

Genetics explains 55% of why people differ in this trait. The rest is environment, daily habits and chance.

Heritability estimate: Willemsen et al. 2015, Twin Res Hum Genet

About Type 2 Diabetes

Background and further reading

Type 2 diabetes (T2D) is the most common form of diabetes, making up roughly 90-95% of cases and affecting hundreds of millions of people worldwide [1]. In the United States, about 38 million adults have diabetes, the large majority of it type 2 [1]. It develops when the body becomes resistant to insulin's glucose-lowering effects and the pancreas cannot compensate with enough insulin. Over time the resulting high blood sugar raises the risk of cardiovascular disease, kidney failure, vision loss, nerve damage, and lower-limb amputation [1]. Much of that risk is modifiable: in people at high risk, structured lifestyle change can prevent or delay the disease [2].

Genetic Basis: Twin studies estimate the heritability of T2D in the range of about 40-70%, with large twin registers pointing toward the upper end [5]. The condition is highly polygenic. A multi-ancestry meta-analysis of 1.4 million participants in the Million Veteran Program identified 558 T2D-associated variants, including 318 newly reported loci [3], and a later study of more than 2.5 million people mapped 1,289 independent signals to 611 loci [4]. Implicated genes affect beta cell function (TCF7L2, SLC30A8, KCNJ11), insulin signaling (IRS1, PPARG), and adiposity. Variants in TCF7L2 are the strongest common-variant signal, with the risk allele carrying an odds ratio near 1.4 and influencing insulin secretion and incretin response [3]. High heritability does not make T2D inevitable: the recent global rise is driven largely by changes in diet, weight, and activity, which interact with this inherited susceptibility.

Modifiable Risk Factors: Excess body weight, particularly around the abdomen, is the strongest modifiable risk factor for T2D. The Diabetes Prevention Program (DPP) randomized more than 3,000 adults with prediabetes and found that a lifestyle program targeting at least 7% weight loss and 150 minutes of weekly activity lowered diabetes incidence by 58% over about three years, compared with a 31% reduction from metformin [2]. Physical inactivity, diets high in ultra-processed food and sugar-sweetened drinks, short or poor-quality sleep, and smoking are also associated with higher risk [6]. Lifestyle and genetics interact, and people at higher inherited risk still benefit substantially from these changes.

How this was calculated

The published research behind your score, and the variants it draws on.

Study Details

101 published scores from 31 studies

The type 2 diabetes score combines 101 polygenic scores drawn from 31 published studies.

Ritchie SC (2024). Integrated clinical risk prediction of type 2 diabetes with a multifactorial polygenic risk score medRxiv: 1.3M

Mandla R (2024). Polygenic scores for longitudinal prediction of incident type 2 diabetes in an ancestrally and medically diverse primary care physician network: a patient cohort study. Genome Med: 1.1M

Deutsch AJ (2023). Type 2 Diabetes Polygenic Score Predicts the Risk of Glucocorticoid-Induced Hyperglycemia in Patients Without Diabetes. Diabetes Care: 1.1M

Hrytsenko Y (2025). Obstructive sleep apnea mediates genetic risk of Diabetes Mellitus in Hispanic and Latino communities. Commun Med (Lond): 1.3M

Jung HU (2025). Assessment of polygenic risk score performance in East Asian populations for ten common diseases. Commun Biol: 502k

Guo B G (2025). Polygenic risk score for type 2 diabetes shows context-dependent effects across populations. Nat Commun: 1.3M

Gunn S (2024). Comparison of Methods for Building Polygenic Scores for Diverse Populations. HGG Adv: 1.3M

Ge T (2022). Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations. Genome Med: 1.3M

Mars N (2020). Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers. Nat Med: 6.4M

Huerta-Chagoya A (2023). The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes. Diabetologia: 1.1M

Mars N (2022). Systematic comparison of family history and polygenic risk across 24 common diseases. Am J Hum Genet: 1.1M

Jermy B (2024). A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk. Nat Commun: 931k

Aly DM (2021). Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes Nat Genet: 389k

Shim I (2023). Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nature Communications: 1.1M

Mahajan A (2018). Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat Genet: 171k

Ma Y (2022). ExPRSweb: An online repository with polygenic risk scores for common health-related exposures. Am J Hum Genet: 10.3M

Weissbrod O (2022). Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores. Nat Genet: 1.1M

Loesch DP (2025). Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities. Nat Commun: 1.1M

Ritchie SC (2021). Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases Nat Metab: 2.0M

Mars N (2022). Genome-wide risk prediction of common diseases across ancestries in one million people. Cell Genom: 6.4M

Ye Y (2021). Interactions Between Enhanced Polygenic Risk Scores and Lifestyle for Cardiovascular Disease, Diabetes, and Lipid Levels. Circ Genom Precis Med: 3.0M

Tamlander M (2022). Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes. Commun Biol: 1.1M

Monti R (2024). Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning. Am J Hum Genet: 1.1M

Läll K (2016). Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores. Genet Med: 8k

Truong B (2024). Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases. Cell Genom: 6.6M

Sources

Centers for Disease Control and Prevention. Type 2 Diabetes. CDC Diabetes (2024)

Knowler WC, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New England Journal of Medicine (Diabetes Prevention Program) (2002)

Vujkovic M, et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis. Nature Genetics (2020)

Suzuki K, et al. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature (2024)

Willemsen G, et al. The concordance and heritability of type 2 diabetes in 34,166 twin pairs from international twin registers: the DISCORDANT TWIN (DISCOTWIN) consortium. Twin Research and Human Genetics (2015)

Wang R, et al. Sleep features and the risk of type 2 diabetes mellitus: a systematic review and meta-analysis. Frontiers in Endocrinology (2024)

Related Traits

These traits are influenced by some of the same genes and variants as this one

Fasting Glucose: Blood sugar levels after overnight fasting, a key marker of metabolic health and diabetes risk.

HbA1c: Glycated hemoglobin, reflecting average blood sugar levels over the past 2-3 months.

Body Mass Index: A measure of body weight relative to height, used as a proxy for overall adiposity.

Back to All Traits

Content updated August 2026.

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