TreeWAS – [C73-C75] Malignant neoplasms of thyroid and other endocrine glands

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

C73-C75

Malignant neoplasms of thyroid and other endocrine glands

Parent term	Chapter II Neoplasms
Nested terms	C73 Malignant neoplasm of thyroid gland C74 Malignant neoplasm of adrenal gland C75 Malignant neoplasm of other endocrine glands and related structures

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Variant effects

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.924	0.076	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.906	0.094	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.891	0.109	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.857	0.143	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.835	0.165	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.825	0.175	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.819	0.180	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.814	0.186	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.810	0.190	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.805	0.195	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.796	0.204	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.792	0.208	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.786	0.214	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.786	0.214	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.782	0.218	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.780	0.220	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.780	0.220	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.777	0.223	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.771	0.229	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.770	0.230	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.767	0.233	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.767	0.233	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.765	0.235	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.757	0.243	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.754	0.246	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.737	0.263	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.733	0.267	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.732	0.268	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.729	0.271	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.728	0.272	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.726	0.274	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.723	0.277	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.722	0.278	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.721	0.279	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.720	0.280	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.720	0.280	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.717	0.283	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.717	0.283	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.717	0.283	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.717	0.283	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.716	0.284	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.712	0.287	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.711	0.289	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.710	0.290	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.709	0.290	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.709	0.291	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.706	0.294	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.705	0.295	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.704	0.296	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.704	0.296	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.699	0.301	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.698	0.301	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.698	0.302	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.698	0.302	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.698	0.302	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.696	0.304	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.696	0.304	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.695	0.305	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.691	0.309	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.689	0.311	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.688	0.312	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.688	0.312	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.685	0.315	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.683	0.317	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.680	0.320	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.678	0.322	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.675	0.325	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.674	0.326	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.672	0.327	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.671	0.329	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.670	0.330	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.670	0.330	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.668	0.332	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.664	0.336	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.663	0.337	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.662	0.338	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.662	0.338	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.340	0.660
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.658	0.342	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.658	0.342	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.652	0.348	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.651	0.349	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.647	0.353	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.642	0.358	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.640	0.360	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.639	0.361	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.638	0.362	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.637	0.362	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.633	0.366	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.627	0.373	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.626	0.373	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.624	0.376	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.623	0.377	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.621	0.378	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.619	0.381	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.617	0.383	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.609	0.390	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.609	0.391	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.609	0.391	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.599	0.401	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.596	0.404	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.405	0.595
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.593	0.407	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.589	0.411	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.581	0.419	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.581	0.419	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.578	0.421	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.578	0.422	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.566	0.434	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.565	0.434	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	0.435	0.565
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.561	0.439	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.539	0.461	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.537	0.463	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.537	0.463	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.527	0.472	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.510	0.490	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.507	0.493	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.506	0.494	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.505	0.495	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.000	0.505	0.494
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.481	0.519	0.000
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.465	0.535	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.451	0.548	0.001
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.447	0.552	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.426	0.574	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.415	0.585	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.406	0.594	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.405	0.595	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.404	0.596	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	0.605	0.395
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.390	0.610	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.388	0.612	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.372	0.627	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.363	0.637	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.348	0.652	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.335	0.665	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.324	0.676	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.323	0.676	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.000	0.692	0.308
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.307	0.693	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.305	0.695	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.304	0.696	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.303	0.696	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.303	0.696	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.300	0.700	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.292	0.708	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.290	0.710	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.262	0.738	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.252	0.748	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.251	0.749	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.230	0.770	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.221	0.779	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.216	0.784	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.000	0.788	0.211
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.210	0.790	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.207	0.793	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.206	0.794	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.198	0.802	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.156	0.844	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.151	0.848	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.151	0.849	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.151	0.849	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.145	0.855	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.139	0.860	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.136	0.864	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.129	0.871	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.128	0.872	0.000
rs10744777 lBF = `24.8672` Chr`12` : `112,233,018`	0.121	0.879	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.000	0.887	0.113
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.109	0.890	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.104	0.896	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.103	0.897	0.000
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.091	0.908	0.000
rs4357753 lBF = `5.99351` Chr`12` : `112,740,709`	0.088	0.912	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.083	0.916	0.000
rs11058488 lBF = `0.0657132` Chr`12` : `126,551,205`	0.082	0.918	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.080	0.919	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.070	0.930	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.066	0.934	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.065	0.935	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.062	0.938	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.061	0.939	0.000
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.056	0.944	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.054	0.946	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.053	0.947	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.047	0.953	0.000
rs7314326 lBF = `0.607786` Chr`12` : `24,107,597`	0.045	0.955	0.000
rs2384000 lBF = `9.34104` Chr`12` : `112,965,142`	0.045	0.955	0.000
rs2301756 lBF = `7.47329` Chr`12` : `112,890,776`	0.044	0.956	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.044	0.956	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.042	0.958	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.042	0.958	0.000
rs7316650 lBF = `10.7172` Chr`12` : `112,439,664`	0.041	0.959	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.038	0.962	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.038	0.962	0.000
rs3751196 lBF = `0.93961` Chr`12` : `104,157,502`	0.036	0.964	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.033	0.967	0.000
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rs11062578 lBF = `0.00505306` Chr`12` : `3,327,167`	0.001	0.999	0.000
rs549433 lBF = `-0.0838029` Chr`12` : `63,180,816`	0.001	0.999	0.000
rs10770612 lBF = `0.326582` Chr`12` : `20,230,639`	0.000	0.999	0.001
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.001	0.999	0.000
rs187607716 lBF = `0.281898` Chr`12` : `91,487,517`	0.001	0.999	0.000
rs7134221 lBF = `-0.0977459` Chr`12` : `97,641,186`	0.000	0.999	0.001
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.001	0.999	0.000
rs11829548 lBF = `0.00753108` Chr`12` : `43,152,632`	0.001	0.999	0.000
rs4760790 lBF = `-0.0177311` Chr`12` : `71,634,794`	0.000	0.999	0.001
rs1531228 lBF = `-0.0326736` Chr`12` : `13,629,381`	0.001	0.999	0.000
rs4766897 lBF = `64.6713` Chr`12` : `112,179,471`	0.000	0.999	0.001
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.001	0.999	0.000
rs2384207 lBF = `0.154401` Chr`12` : `113,607,502`	0.001	0.999	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.001	0.999	0.000
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.001	0.999	0.000
rs17108344 lBF = `-0.00155388` Chr`12` : `70,954,464`	0.001	0.999	0.000
rs12321906 lBF = `-0.00389599` Chr`12` : `53,916,715`	0.001	0.999	0.000
rs10506701 lBF = `0.201763` Chr`12` : `74,586,210`	0.000	0.999	0.000
rs10843215 lBF = `-0.00711239` Chr`12` : `28,744,641`	0.000	0.999	0.001
rs12296937 lBF = `-0.00832408` Chr`12` : `81,494,252`	0.000	0.999	0.000
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.000
rs11168187 lBF = `-0.0470456` Chr`12` : `48,044,011`	0.001	0.999	0.000
rs10506328 lBF = `-0.0563244` Chr`12` : `54,687,232`	0.001	0.999	0.000
rs404443 lBF = `10.1143` Chr`12` : `52,860,609`	0.001	0.999	0.000
rs10876550 lBF = `0.0278901` Chr`12` : `54,712,308`	0.001	0.999	0.000
rs11115148 lBF = `-0.0616645` Chr`12` : `82,389,124`	0.000	0.999	0.001
rs10492096 lBF = `-0.0460229` Chr`12` : `6,580,582`	0.001	0.999	0.000
rs10849023 lBF = `1.50648` Chr`12` : `4,332,478`	0.001	0.999	0.000
rs11611647 lBF = `1.42717` Chr`12` : `4,333,919`	0.001	0.999	0.000
rs10849915 lBF = `0.235283` Chr`12` : `111,333,622`	0.000	0.999	0.001
rs10774610 lBF = `0.180126` Chr`12` : `111,340,243`	0.000	0.999	0.001
rs1677894 lBF = `0.13308` Chr`12` : `78,337,936`	0.000	0.999	0.001
rs12304921 lBF = `-0.00652912` Chr`12` : `51,357,542`	0.001	0.999	0.000
rs114588203 lBF = `-0.0114496` Chr`12` : `68,956,185`	0.000	0.999	0.000
rs5744897 lBF = `-0.0381325` Chr`12` : `133,226,831`	0.000	0.999	0.000
rs2856321 lBF = `-0.0696891` Chr`12` : `11,855,773`	0.000	0.999	0.001
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.000	0.999	0.000
rs1385374 lBF = `0.0163696` Chr`12` : `129,300,694`	0.001	0.999	0.000
rs150516896 lBF = `-0.0114489` Chr`12` : `68,955,572`	0.000	0.999	0.000
rs7487873 lBF = `-0.0327614` Chr`12` : `64,727,456`	0.001	0.999	0.000
rs1454933 lBF = `-0.0391194` Chr`12` : `33,017,043`	0.001	0.999	0.000
rs11180559 lBF = `0.335449` Chr`12` : `75,920,285`	0.000	0.999	0.000
rs73044404 lBF = `0.0706572` Chr`12` : `2,135,449`	0.001	0.999	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	0.999	0.000
rs7301016 lBF = `-0.0493217` Chr`12` : `62,886,123`	0.001	0.999	0.000
rs1402279 lBF = `0.0579971` Chr`12` : `77,729,385`	0.000	0.999	0.000
rs142054194 lBF = `0.0063675` Chr`12` : `86,864,240`	0.000	0.999	0.000
rs116075389 lBF = `-0.0115206` Chr`12` : `68,957,164`	0.000	0.999	0.000
rs614226 lBF = `-0.0412855` Chr`12` : `120,974,510`	0.001	0.999	0.000
rs285575 lBF = `-0.0442975` Chr`12` : `41,921,665`	0.000	0.999	0.000
rs10506710 lBF = `0.228495` Chr`12` : `73,450,317`	0.001	0.999	0.000
rs7294919 lBF = `0.090446` Chr`12` : `117,327,592`	0.000	0.999	0.000
rs10784762 lBF = `-0.00372949` Chr`12` : `69,523,923`	0.000	0.999	0.000
rs17788937 lBF = `-0.0494923` Chr`12` : `77,899,510`	0.001	0.999	0.000
rs16926789 lBF = `-0.0139818` Chr`12` : `24,006,406`	0.000	0.999	0.000
rs10773971 lBF = `-0.0157233` Chr`12` : `1,740,171`	0.000	0.999	0.000
rs12824981 lBF = `-0.0966397` Chr`12` : `129,637,348`	0.000	0.999	0.000
rs2400954 lBF = `-0.113536` Chr`12` : `81,932,981`	0.000	0.999	0.000
rs370354 lBF = `10.0787` Chr`12` : `52,862,041`	0.000	1.000	0.000
rs4326844 lBF = `0.0234596` Chr`12` : `54,736,470`	0.000	1.000	0.000
rs1057510 lBF = `0.0192049` Chr`12` : `6,683,287`	0.000	1.000	0.000
rs17429217 lBF = `0.00288289` Chr`12` : `117,295,333`	0.000	1.000	0.000
rs7965445 lBF = `-0.0195556` Chr`12` : `131,862,903`	0.000	1.000	0.000
rs7307902 lBF = `-0.0660155` Chr`12` : `47,923,016`	0.000	1.000	0.000
rs7307780 lBF = `0.176028` Chr`12` : `76,220,618`	0.000	1.000	0.000
rs12319113 lBF = `0.0238283` Chr`12` : `19,024,558`	0.000	1.000	0.000
rs140444490 lBF = `0.00607512` Chr`12` : `86,860,976`	0.000	1.000	0.000
rs12810016 lBF = `0.00229369` Chr`12` : `83,308,363`	0.000	1.000	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	1.000	0.000
rs11114027 lBF = `-0.0369385` Chr`12` : `79,775,248`	0.000	1.000	0.000
rs1373549 lBF = `-0.05596` Chr`12` : `46,485,838`	0.000	1.000	0.000
rs112511621 lBF = `-0.0871414` Chr`12` : `88,648,080`	0.000	1.000	0.000
rs2870946 lBF = `0.0641534` Chr`12` : `68,596,661`	0.000	1.000	0.000
rs77956314 lBF = `0.0185577` Chr`12` : `117,323,367`	0.000	1.000	0.000
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	1.000	0.000
rs2292354 lBF = `-0.0388382` Chr`12` : `110,368,201`	0.000	1.000	0.000
rs4964469 lBF = `-0.0429482` Chr`12` : `106,949,987`	0.000	1.000	0.000
rs2532859 lBF = `-0.0565808` Chr`12` : `6,115,724`	0.000	1.000	0.000
rs12580100 lBF = `-0.0579956` Chr`12` : `56,439,209`	0.000	1.000	0.000
rs298104 lBF = `8.33791` Chr`12` : `52,818,504`	0.000	1.000	0.000
rs2052678 lBF = `0.0263995` Chr`12` : `29,833,329`	0.000	1.000	0.000
rs1457614 lBF = `-0.0614078` Chr`12` : `13,641,706`	0.000	1.000	0.000
rs11059635 lBF = `0.31419` Chr`12` : `128,782,022`	0.000	1.000	0.000
rs7971536 lBF = `0.151039` Chr`12` : `102,373,788`	0.000	1.000	0.000
rs11044946 lBF = `0.0504246` Chr`12` : `20,081,335`	0.000	1.000	0.000
rs12146838 lBF = `-0.0131906` Chr`12` : `92,375,595`	0.000	1.000	0.000
rs7968606 lBF = `-0.0460598` Chr`12` : `99,816,842`	0.000	1.000	0.000
rs11055612 lBF = `-0.0887438` Chr`12` : `13,923,328`	0.000	1.000	0.000
rs1464108 lBF = `-0.121456` Chr`12` : `131,022,010`	0.000	1.000	0.000
rs886125 lBF = `9.62554` Chr`12` : `111,365,324`	0.000	1.000	0.000
rs298109 lBF = `7.58726` Chr`12` : `52,827,818`	0.000	1.000	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.000	1.000	0.000
rs2071449 lBF = `2.15334` Chr`12` : `54,428,011`	0.000	1.000	0.000
rs1388585 lBF = `0.675794` Chr`12` : `40,531,691`	0.000	1.000	0.000
rs2338104 lBF = `0.17587` Chr`12` : `109,895,168`	0.000	1.000	0.000
rs7134594 lBF = `0.153588` Chr`12` : `110,000,193`	0.000	1.000	0.000
rs11049300 lBF = `0.0426733` Chr`12` : `28,195,125`	0.000	1.000	0.000
rs4298948 lBF = `0.0247646` Chr`12` : `122,276,255`	0.000	1.000	0.000
rs79843055 lBF = `0.00066378` Chr`12` : `86,284,459`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.8754

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.7814

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.3104

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3034

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9935

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9752

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9660

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.9658

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9645

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9536

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9478

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9389

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9325

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9274

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9196

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9146

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9138

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9136

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9087

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9046

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9036

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8978

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8952

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.8766

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8683

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8657

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8656

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8615

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8602

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8575

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8552

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8525

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8496

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8491

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8479

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8461

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8395

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.8364

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8295

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8250

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8206

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8171

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8062

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8053

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8005

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7978

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7977

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7965

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7900

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7755

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7713

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7712

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7702

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7696

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7689

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7642

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7612

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7606

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7523

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7449

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7402

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7396

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7394

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7350

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7332

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7254

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7218

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7199

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7192

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.7190

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7135

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7134

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7072

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7059

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7018

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6994

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6961

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6880

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6845

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6842

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.6838

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6744

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6676

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6652

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6627

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6614

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6543

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6537

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6530

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6520

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6510

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6493

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6444

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6413

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6362

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6350

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6307

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6305

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6285

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6252

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6225

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6162

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6150

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6127

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6121

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6115

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6111

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6080

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6043

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6042

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6037

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6011

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.6008

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6004

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.6001

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5987

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5983

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5966

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5943

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5923

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5913

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5897

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5865

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5749

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5739

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5729

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5695

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5691

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5679

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5541

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5532

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5518

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5515

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5505

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5498

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5482

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5454

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5431

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5427

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5418

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5418

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5396

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5393

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5389

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5376

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5367

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5349

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5348

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5344

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5330

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5324

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5294

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5256

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5249

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5174

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5166

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5154

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5130

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5129

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5098

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5081

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5034

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4932

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4904

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4903

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4902

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4902

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4889

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4857

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4854

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4842

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4807

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4788

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4729

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4690

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4679

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4658

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4614

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4607

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4597

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4594

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4583

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4579

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4568

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4560

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4547

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4537

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4467

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4460

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4452

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4451

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4425

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4406

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4404

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4373

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4339

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4307

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4281

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4268

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4268

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4268

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4265

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4242

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4229

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4213

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4210

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4201

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4194

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4189

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4185

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4185

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3907

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.3840

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3155

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2502

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1502

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1409

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0875

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0749

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0548

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)