Sensitive

Type 2 diabetes

THADA · rs10203174

Where this position leads

What the study found

Who was studied 6,377 European ancestry male cases, 5,794 European ancestry female cases, 22,243 European ancestry male controls, 34,619 European ancestry female controls; replicated in 12,938 European ancestry male cases, 8,553 European ancestry female cases, 904 Pakistani ancestry male cases, 274 Pakistani ancestry female cases, 30,273 European ancestry male controls, 25,374 European ancestry female controls, 2,088 Pakistani ancestry male controls, 384 Pakistani ancestry female controls.

The effect Each copy of the C allele carried 1.14 times the odds of Type 2 diabetes (95% confidence interval 1.10-1.19); p = 1 × 10⁻¹¹.

How common The C allele had a frequency of about 89% in the people studied.

Where it sits Chromosome 2, band 2p21 — in an intron of THADA.

What each result means

C/C Two copies of the version the research linked to Type 2 diabetes. That is the strongest link of the three results. A link in a study is not a diagnosis.

C/T One copy of the version the research linked to Type 2 diabetes. That is a smaller link than two copies.

T/T No copy of the version the research linked to Type 2 diabetes. This is the starting point the study compared everyone against.

Source

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Morris AP, Voight BF, Teslovich TM, Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, Prokopenko I, Kang HM

and 192 more — show all

Dina C, Esko T, Fraser RM, Kanoni S, Kumar A, Lagou V, Langenberg C, Luan J, Lindgren CM, Müller-Nurasyid M, Pechlivanis S, Rayner NW, Scott LJ, Wiltshire S, Yengo L, Kinnunen L, Rossin EJ, Raychaudhuri S, Johnson AD, Dimas AS, Loos RJ, Vedantam S, Chen H, Florez JC, Fox C, Liu CT, Rybin D, Couper DJ, Kao WH, Li M, Cornelis MC, Kraft P, Sun Q, van Dam RM, Stringham HM, Chines PS, Fischer K, Fontanillas P, Holmen OL, Hunt SE, Jackson AU, Kong A, Lawrence R, Meyer J, Perry JR, Platou CG, Potter S, Rehnberg E, Robertson N, Sivapalaratnam S, Stančáková A, Stirrups K, Thorleifsson G, Tikkanen E, Wood AR, Almgren P, Atalay M, Benediktsson R, Bonnycastle LL, Burtt N, Carey J, Charpentier G, Crenshaw AT, Doney AS, Dorkhan M, Edkins S, Emilsson V, Eury E, Forsen T, Gertow K, Gigante B, Grant GB, Groves CJ, Guiducci C, Herder C, Hreidarsson AB, Hui J, James A, Jonsson A, Rathmann W, Klopp N, Kravic J, Krjutškov K, Langford C, Leander K, Lindholm E, Lobbens S, Männistö S, Mirza G, Mühleisen TW, Musk B, Parkin M, Rallidis L, Saramies J, Sennblad B, Shah S, Sigurðsson G, Silveira A, Steinbach G, Thorand B, Trakalo J, Veglia F, Wennauer R, Winckler W, Zabaneh D, Campbell H, van Duijn C, Uitterlinden AG, Hofman A, Sijbrands E, Abecasis GR, Owen KR, Zeggini E, Trip MD, Forouhi NG, Syvänen AC, Eriksson JG, Peltonen L, Nöthen MM, Balkau B, Palmer CN, Lyssenko V, Tuomi T, Isomaa B, Hunter DJ, Qi L, Shuldiner AR, Roden M, Barroso I, Wilsgaard T, Beilby J, Hovingh K, Price JF, Wilson JF, Rauramaa R, Lakka TA, Lind L, Dedoussis G, Njølstad I, Pedersen NL, Khaw KT, Wareham NJ, Keinanen-Kiukaanniemi SM, Saaristo TE, Korpi-Hyövälti E, Saltevo J, Laakso M, Kuusisto J, Metspalu A, Collins FS, Mohlke KL, Bergman RN, Tuomilehto J, Boehm BO, Gieger C, Hveem K, Cauchi S, Froguel P, Baldassarre D, Tremoli E, Humphries SE, Saleheen D, Danesh J, Ingelsson E, Ripatti S, Salomaa V, Erbel R, Jöckel KH, Moebus S, Peters A, Illig T, de Faire U, Hamsten A, Morris AD, Donnelly PJ, Frayling TM, Hattersley AT, Boerwinkle E, Melander O, Kathiresan S, Nilsson PM, Deloukas P, Thorsteinsdottir U, Groop LC, Stefansson K, Hu F, Pankow JS, Dupuis J, Meigs JB, Altshuler D, Boehnke M, McCarthy MI

Wellcome Trust Case Control Consortium · Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators · Genetic Investigation of ANthropometric Traits (GIANT) Consortium · Asian Genetic Epidemiology Network–Type 2 Diabetes (AGEN-T2D) Consortium · South Asian Type 2 Diabetes (SAT2D) Consortium · DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium

Nature genetics · 2012 · PMID 22885922 · open access

Questions about rs10203174

What is rs10203174?

rs10203174 is a single position in the genome, in or near the THADA gene. Published research associates it with type 2 diabetes. A single variant does not decide an outcome — it shifts a probability, and for most common variants the shift is small.

What conditions is rs10203174 linked to?

On MyGeneLog this position is linked to Type 2 Diabetes. The research behind each link, and its sources, are set out on that condition page.

Does having rs10203174 mean I will get this?

No. Common variants like this one move a probability slightly and, on their own, rarely decide anything about one person. Nothing on this page is a diagnosis, and health decisions should be made with a clinician who can see your whole picture.

Where does the information about rs10203174 come from?

GWAS Catalog, Nat Genet 2012, PMID:22885922. Every variant on MyGeneLog comes from public primary sources and is published with its citation and the date it was checked.

Quoting this page

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 2 diabetes (rs10203174). MyGeneLog™. https://www.mygenelog.com/variants/rs10203174

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