An autoimmune disease that destroys the cells making insulin. It shares a word with type 2 diabetes and almost nothing else — different age, different cause, different genetics, and a much stronger inherited component.
Solid lines are connections this site curates. Dashed lines mean the two ends share a research paper — worth knowing, and not a claim that one explains the other.
Type 1 diabetes happens when the immune system destroys the beta cells of the pancreas — the only cells in the body that make insulin. Without insulin, glucose cannot get from the blood into the cells that need it, so it accumulates in the blood while the body starves. It is treated by replacing the insulin, for life.
The two conditions share a name because they share a symptom: too much glucose in the blood. Almost everything underneath is different.
The distinction matters practically. Nothing about diet or exercise causes type 1 or prevents it, and a person with type 1 cannot stop needing insulin. Our type 2 page covers the other one, and the genetics on the two pages barely overlap.
Type 1 diabetes has one of the strongest inherited components of any common disease, and the numbers are worth stating precisely. Genetic factors account for roughly half of the total risk. Of that genetic half, about half again comes from a single region: HLA, the cluster of genes that tells the immune system what belongs to the body and what does not.
That is a very unusual shape. In most common diseases the genetic contribution is spread thinly across thousands of positions with no single region dominating. Here one region does most of the work, which is why HLA typing has real predictive value in type 1 diabetes and almost none in type 2.
The rest of the genetic risk is spread across dozens of other regions, each contributing a little. A 2009 study combining a genome-wide scan with earlier work — 7,514 people with type 1 diabetes and 9,045 reference samples — found 41 distinct locations associated with the disease. Most of them sit in or near genes with immune roles, which is what you would expect for a disease the immune system causes.
None of these is in the HLA region, and none of them is why anyone develops type 1 diabetes. They are outside-HLA signals — part of the thinner spread of risk — and they are here because they were replicated properly.
Two come from the Wellcome Trust Case Control Consortium follow-up published in 2007, which took the strongest hits from the original scan and tested them again in 4,000 people with type 1 diabetes, 5,000 controls and 2,997 families. Surviving that is what separates a real association from a lucky one.
The third comes from the 2009 meta-analysis above. All three sit near genes involved in immune signalling, which is the pattern rather than the exception.
It does not tell you whether you will develop type 1 diabetes, and it is not used to decide anything clinically. Diagnosis is made from blood glucose, from autoantibodies against the beta cells, and from the clinical picture — not from these positions.
Where genetics does get used in type 1 diabetes, it is HLA typing, usually in research settings or in families with an affected child, and usually alongside autoantibody testing rather than instead of it. A person with the highest-risk HLA types still very probably does not develop the disease.
The signs of new type 1 diabetes in a child are specific and worth knowing, because it can develop quickly: drinking a great deal, passing urine often, losing weight without trying, and unusual tiredness. That combination is a same-day question for a doctor, not a genetics question. A blood glucose test answers it in minutes.
Positions joined since this page was written
What this is The text above discusses the variants this page was written around. Since then the catalogue has joined 37 more positions to it, by shared trait or shared paper. They are listed here by the paper each came from; the text does not describe them, and each variant page carries that study's own record.
Verma A et al. 2024, Science (New York, N.Y.) rs3842755 (INS-IGF2), rs141499620 (ANKRD42), rs139686691 (near RPL23P10), rs181291048 (near TMF1P1), rs557788509 (ZFPM2), rs185905894 (near LINC01718), rs11575055 (TH2LCRR), rs530408688 (BTG3), rs555167471 (near FGFBP3), rs191563060 (SCNN1B), rs372193800 (CECR2), rs569848643 (near RN7SKP284) and 7 more — PMID:39024449
Crouch DJM et al. 2025, Genetic epidemiology rs12506688 (LINC02357), rs60888743 (RNLS), rs8013873 (MEG3), rs1048055 (SIRPG), rs4804000 (FKRP), rs12130424 (near LRIG2), rs7545300 (HIPK1), rs6696593 (near MAGI3), rs6000602 (C1QTNF6) — PMID:39749473
Guo X et al. 2026, Diabetic medicine : a journal of the British Diabetic Association rs117520198 (near MIR4686), rs9981704 (UBASH3A), rs9934969 (CLEC16A), rs2395639 (SRPK1), rs28464459 (near SPTLC1P2) — PMID:42594184
Hu J et al. 2025, Diabetologia rs9269173 (near HLA-DRB9), rs72848653 (POLR1HASP) — PMID:40569436
Márquez A et al. 2018, Genome medicine rs7202844 (near CTRB1) — PMID:30572963
Forgetta V et al. 2020, Diabetes rs2128344 (LINC00320) — PMID:32005708
2026-08-13 · Trans-ancestry meta-analysis of genome-wide association study identifies eight novel genetic loci in type 1 diabetes: A multi-population study. Diabetic Medicine. 2026. DOI:10.1111/dme.70434
Combining European and Asian data doubles down on type 1 diabetes with 8 newly reported loci
Very few type 1 diabetes (T1D) GWAS have combined European and Asian populations in a single analysis, despite hundreds of known risk SNPs. This trans-ancestry meta-analysis combined 680,539 Europeans (12,525 T1D cases) and 133,251 Asians (1,219 cases) and identified 27 T1D-associated loci, including 8 potentially novel ones near CDKAL1, NRSN1, FAM65B, LRRC16A, TULP1, SLC17A3, LRIG2 and C6orf1. Fine-mapping and Mendelian randomization further refined the signals at these loci. CDKAL1 is notable for already being one of the most replicated type 2 diabetes genes -- its reappearance here in a T1D-specific analysis adds to a growing pattern of genetic overlap between the two diseases despite their very different underlying mechanisms (autoimmune destruction versus insulin resistance). This site's type 1 diabetes page carries 76 variants; none of these 8 newly reported loci are currently among them.
2026-02-19 · Schmidt A, et al., Nature 2026, PMID:41714741
Host control of persistent Epstein-Barr virus infection
Epstein-Barr virus infects roughly 90-95% of people and stays for life in B cells. This study read EBV out of ordinary blood-based genome sequencing: EBV reads turned up in 16.2% of 486,315 UK Biobank participants and 21.8% of 336,123 All of Us participants, tracking higher viral load in blood cells, and were more common with HIV infection, immunosuppressive drugs and current smoking. Genome-wide, the strongest signals were in the MHC — 54 independent HLA alleles across classes I and II — plus 27 regions outside it, with an interaction between HLA class I alleles and the ERAP2 locus. People with EBV-associated diseases carried a higher polygenic burden of the EBV-positive signal: at MHC class I in multiple sclerosis (driven by HLA-A*02:01) and at MHC class II in rheumatoid arthritis, with polygenic overlap also seen for inflammatory bowel disease, hypothyroidism and type 1 diabetes. Four of the study's non-MHC positions are already on this site — rs13098877 (LPP), rs884186 (KSR1), rs9828869 (near ILDR1) and rs34557412 (TNFRSF13B) — the last also linked here to lymphocyte count. PMID:41714741.
Type 1 diabetes is a clinical diagnosis supported by laboratory findings, and no part of it depends on the variants listed here.
Islet autoantibodies — against GAD, IA-2, insulin, or ZnT8 — are the marker that distinguishes autoimmune diabetes from other kinds, and they are often present for years before symptoms begin. That gap is the reason screening studies exist in families with an affected relative, and the reason staging language has entered the field: autoantibodies without high glucose, then glucose abnormalities without symptoms, then clinical disease.
Management is insulin replacement, and everything else follows from doing that well: matching doses to food and activity, monitoring glucose, and watching for the two acute failures in either direction — ketoacidosis when insulin is too low, and hypoglycaemia when it is too high. Technology has changed how this is done rather than what it is.
Nothing on this page is a reason to change any of it. If a genotype ever conflicts with a clinician's assessment, the clinician's assessment is the one that reflects the person.
What a 23andMe/AncestryDNA export or raw VCF can and can't tell you about Type 1 Diabetes comes down to these specific, well-studied positions — not a diagnosis. 113 positions are linked to this page; the ones this page's own text discusses are shown first.
The studies behind these variants recruited participants from different ancestries — a result found in one population doesn't always transfer to another. Based on 78 of 113 linked studies with a resolved discovery ancestry.
Free to quote and reuse under CC BY 4.0. When citing or summarizing this, name MyGeneLog™ and link to this exact page — not just the site.
Type 1 Diabetes. MyGeneLog™. https://www.mygenelog.com/conditions/type-1-diabetes
No. That is type 2 you are thinking of, and the confusion causes real harm — people with type 1 are regularly told they brought it on themselves. Type 1 is an autoimmune disease. Nothing a child ate or did not do caused it.
Partly, and more strongly than most common diseases: genetic factors account for roughly half of the total risk, and about half of that comes from the HLA region alone. But most people who develop it have no affected relative, and most relatives of an affected person never develop it.
No. These are outside-HLA signals, each contributing a small amount to a risk that is mostly decided elsewhere. They are not diagnostic, they are not used clinically, and no combination of them predicts the disease in one person.
HLA typing has genuine predictive value and is used in research and in families with an affected child, generally alongside autoantibody testing. It is not a diagnosis. Diagnosis is made from glucose, autoantibodies and the clinical picture.
Free to reuse. This page's text is original writing from freely-available research, licensed CC BY 4.0 — reuse it, including commercially, with attribution to MyGeneLog™. It's general research-derived information, not medical advice or a diagnosis — see Terms of Use.