TreeWAS – [K55.9] Vascular disorder of intestine, unspecified

Variant effects

Click on a variant to see its association results.

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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
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.698	0.302	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.687	0.313	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.666	0.334	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.661	0.339	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.627	0.373	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.615	0.385	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.611	0.389	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.594	0.406	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.587	0.413	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.575	0.425	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.561	0.439	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.557	0.442	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.555	0.445	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.549	0.451	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.548	0.451	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.532	0.468	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.524	0.476	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.510	0.490	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.506	0.494	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.505	0.494	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.478	0.522	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.456	0.544	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.442	0.557	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.429	0.570	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.392	0.607	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.379	0.620	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.373	0.627	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.356	0.644	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.349	0.651	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.342	0.658	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.336	0.664	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.332	0.667	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.330	0.670	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.311	0.688	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.298	0.702	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.295	0.705	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.000	0.714	0.286
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.285	0.715	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.284	0.716	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.261	0.739	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.258	0.742	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.256	0.743	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.254	0.746	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.248	0.752	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.238	0.761	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.230	0.769	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.226	0.774	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.222	0.778	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.217	0.783	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.215	0.785	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.196	0.804	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.196	0.804	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.184	0.815	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.182	0.818	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.179	0.820	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.168	0.832	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.165	0.835	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.151	0.848	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.149	0.851	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.146	0.854	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.145	0.855	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.141	0.859	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.139	0.861	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.130	0.870	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.124	0.876	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.120	0.880	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.106	0.894	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.099	0.901	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.095	0.904	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.093	0.907	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.090	0.910	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.082	0.918	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.081	0.919	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.080	0.920	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.077	0.923	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.076	0.924	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.073	0.926	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.071	0.929	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.069	0.931	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.934	0.066
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.062	0.938	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.059	0.940	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.059	0.940	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.056	0.944	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.054	0.946	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.946	0.053
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.046	0.954	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.043	0.956	0.001
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.044	0.956	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.043	0.957	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.042	0.958	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.036	0.963	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.036	0.964	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.034	0.966	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.034	0.966	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.033	0.967	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.030	0.970	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.029	0.971	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.028	0.972	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.026	0.974	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.026	0.974	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.025	0.974	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.025	0.975	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.025	0.975	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.024	0.975	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.024	0.976	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.019	0.981	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.018	0.981	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.018	0.981	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.017	0.983	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.017	0.983	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.015	0.984	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.015	0.985	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.014	0.986	0.000
rs4917300 lBF = `0.249` Chr`8` : `143,121,671`	0.014	0.986	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.013	0.987	0.000
rs1018836 lBF = `1.5813` Chr`8` : `91,570,362`	0.000	0.987	0.013
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.012	0.988	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.012	0.988	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.011	0.989	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.011	0.989	0.000
rs11997175 lBF = `-0.010402` Chr`8` : `33,770,070`	0.000	0.989	0.011
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.011	0.989	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.010	0.990	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.010	0.990	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.010	0.990	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.009	0.990	0.001
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.010	0.990	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.990	0.009
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.009	0.991	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.009	0.991	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.009	0.991	0.000
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.009	0.991	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.008	0.992	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.008	0.992	0.000
rs1015003 lBF = `-0.102741` Chr`8` : `37,096,059`	0.000	0.992	0.008
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	0.992	0.008
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.006	0.993	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.006	0.994	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.006	0.994	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.004	0.995	0.001
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.005	0.995	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.005	0.995	0.000
rs7461897 lBF = `-0.0288878` Chr`8` : `26,894,544`	0.005	0.995	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.996	0.000
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.004	0.996	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.996	0.004
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.004	0.996	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.004	0.996	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	0.996	0.003
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.004	0.996	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.000	0.996	0.003
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.003	0.997	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.003	0.997	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.003	0.997	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.003	0.997	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.003	0.997	0.000
rs56077246 lBF = `0.0868122` Chr`8` : `144,983,493`	0.003	0.997	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.003	0.997	0.000
rs7010805 lBF = `-0.0756655` Chr`8` : `144,976,720`	0.003	0.997	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.003	0.997	0.000
rs4735053 lBF = `5.21769` Chr`8` : `109,260,776`	0.003	0.997	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.003	0.997	0.000
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.003	0.997	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	0.997	0.003
rs12679254 lBF = `0.359215` Chr`8` : `74,274,191`	0.000	0.997	0.003
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.997	0.003
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	0.997	0.003
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.003	0.997	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.997	0.003
rs6990361 lBF = `-0.0418494` Chr`8` : `144,987,221`	0.003	0.997	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.003	0.997	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	0.997	0.003
rs3923387 lBF = `-0.03853` Chr`8` : `144,986,793`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.002	0.997	0.000
rs7015048 lBF = `-0.0923728` Chr`8` : `144,984,283`	0.003	0.997	0.000
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	0.997	0.003
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.003	0.997	0.000
rs903027 lBF = `0.0196467` Chr`8` : `62,409,428`	0.000	0.997	0.003
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.003	0.997	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs7464572 lBF = `0.0588959` Chr`8` : `145,021,167`	0.002	0.998	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.998	0.000
rs7461753 lBF = `0.00463652` Chr`8` : `144,981,498`	0.002	0.998	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	0.998	0.002
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	0.998	0.002
rs11774576 lBF = `-0.108983` Chr`8` : `27,740,417`	0.000	0.998	0.002
rs10503773 lBF = `5.9692` Chr`8` : `25,602,217`	0.000	0.998	0.002
rs367543 lBF = `1.4055` Chr`8` : `9,034,148`	0.002	0.998	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.002	0.998	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.002	0.998	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.002	0.998	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.002	0.998	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.998	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.002	0.998	0.000
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rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	0.999	0.001
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.001	0.999	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	0.999	0.001
rs1875714 lBF = `1.72401` Chr`8` : `68,427,547`	0.001	0.999	0.000
rs17685410 lBF = `-0.0559858` Chr`8` : `2,113,776`	0.000	0.999	0.001
rs2271920 lBF = `-0.0756172` Chr`8` : `27,316,117`	0.001	0.999	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.001	0.999	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.001	0.999	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.001	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.001	0.999	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.001	0.999	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.000	0.999	0.001
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.001	0.999	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.001	0.999	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.001	0.999	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	0.999	0.001
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.000
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.001	0.999	0.000
rs6557600 lBF = `-0.0758497` Chr`8` : `22,763,248`	0.001	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.001	0.999	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	0.999	0.001
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.001	0.999	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	0.999	0.001
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.000	0.999	0.001
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.001	0.999	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.001	0.999	0.000
rs2270875 lBF = `-0.0147127` Chr`8` : `132,999,936`	0.000	0.999	0.001
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.001	0.999	0.000
rs10109541 lBF = `-0.12609` Chr`8` : `523,920`	0.001	0.999	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.000	0.999	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.001	0.999	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	0.999	0.001
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	0.999	0.001
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.001	0.999	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	0.999	0.001
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	0.999	0.001
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	0.999	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	0.999	0.001
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	0.999	0.001
rs975730 lBF = `0.41531` Chr`8` : `129,316,014`	0.000	0.999	0.001
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	0.999	0.001
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.001	0.999	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.001	0.999	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.001	0.999	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.000	0.999	0.001
rs374810 lBF = `6.8979` Chr`8` : `109,096,029`	0.000	0.999	0.001
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.000	0.999	0.001
rs11998649 lBF = `0.0383106` Chr`8` : `22,619,551`	0.001	0.999	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.001	0.999	0.000
rs17412740 lBF = `-0.0262207` Chr`8` : `20,246,758`	0.000	0.999	0.001
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.000	0.999	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.001	0.999	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	0.999	0.000
rs2737229 lBF = `0.177448` Chr`8` : `116,648,565`	0.000	0.999	0.001
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	0.999	0.001
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.001	0.999	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.001	0.999	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.001	0.999	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	0.999	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.000	0.999	0.001
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.000	0.999	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	0.999	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	0.999	0.001
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.001	0.999	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	0.999	0.001
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	0.999	0.001
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.001	0.999	0.000
rs800586 lBF = `0.947739` Chr`8` : `116,813,905`	0.001	0.999	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	0.999	0.001
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	0.999	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	0.999	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	0.999	0.001
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.000	0.999	0.001
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	0.999	0.001
rs6989684 lBF = `-0.00918676` Chr`8` : `120,143,039`	0.001	0.999	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.000	0.999	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	0.999	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	0.999	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.000	0.999	0.001
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.001	0.999	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.001	0.999	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	0.999	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	0.999	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	0.999	0.001
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	0.999	0.001
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	0.999	0.001
rs6470120 lBF = `0.393782` Chr`8` : `123,881,218`	0.001	0.999	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	0.999	0.001
rs2946504 lBF = `0.0882884` Chr`8` : `12,811,580`	0.000	0.999	0.001
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.001	0.999	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.001	0.999	0.000
rs4243849 lBF = `-0.0656984` Chr`8` : `136,713,137`	0.001	0.999	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	0.999	0.001
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.000	0.999	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	0.999	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9961

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9941

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9930

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9706

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9431

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9411

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9407

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9397

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9331

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9283

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9190

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9177

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9078

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8848

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8802

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8784

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8730

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8690

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8583

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8582

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8428

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8263

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8230

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8132

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7968

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7833

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7559

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7491

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7427

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7139

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7104

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7034

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6971

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6665

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6478

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6457

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6351

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6327

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6304

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5712

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5657

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5648

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5583

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5580

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5410

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5190

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5126

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5108

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5067

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4990

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4850

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4838

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4726

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4473

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4128

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3909

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3873

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3701

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3128

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2638

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2266

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2109

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2052

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1868

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1820

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1664

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1544

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1464

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1425

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1275

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0887

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0803

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0568

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0542

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0539

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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)