TreeWAS – [Y83.3] Surgical operation with formation of external stoma

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

Y83.3

Surgical operation with formation of external stoma

Parent term

Y83 Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of the procedure

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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
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.905	0.095	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.862	0.138	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.816	0.184	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.812	0.187	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.792	0.208	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.742	0.258	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.719	0.281	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.717	0.283	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.696	0.304	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.685	0.315	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.673	0.327	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.648	0.352	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.645	0.355	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.644	0.356	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.621	0.379	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.613	0.387	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.605	0.395	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.604	0.395	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.587	0.413	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.581	0.419	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.563	0.437	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.539	0.461	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.539	0.461	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.535	0.465	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.535	0.465	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.529	0.471	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.528	0.472	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.516	0.484	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.513	0.487	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.510	0.489	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.508	0.491	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.492	0.508	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.482	0.518	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.457	0.543	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.452	0.548	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.448	0.552	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.442	0.558	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.431	0.569	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.405	0.595	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.402	0.597	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.391	0.609	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.385	0.615	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.380	0.620	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.376	0.624	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.367	0.633	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.367	0.633	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.367	0.633	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.358	0.642	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.356	0.644	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.356	0.644	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.347	0.653	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.344	0.655	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.339	0.661	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.338	0.662	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.332	0.668	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.325	0.674	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.675	0.325
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.681	0.319
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.314	0.686	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.310	0.689	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.305	0.695	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.295	0.705	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.291	0.709	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.288	0.712	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.288	0.712	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.285	0.714	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.277	0.723	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.273	0.726	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.268	0.732	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.264	0.736	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.263	0.737	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.259	0.741	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.257	0.743	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.256	0.744	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.234	0.766	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.231	0.769	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.221	0.779	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.217	0.783	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.216	0.784	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.215	0.785	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.206	0.794	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.203	0.797	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.192	0.807	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.191	0.809	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.187	0.813	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.184	0.816	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.184	0.816	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.182	0.818	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.180	0.820	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.179	0.821	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.176	0.824	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.160	0.840	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	0.841	0.159
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.157	0.842	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.153	0.847	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.149	0.851	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.148	0.852	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.148	0.852	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.146	0.854	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.146	0.854	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.145	0.855	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.144	0.856	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.142	0.858	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.141	0.859	0.000
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	0.860	0.140
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.140	0.860	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.139	0.861	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.130	0.869	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.129	0.871	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.128	0.872	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.119	0.880	0.001
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.117	0.883	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.112	0.888	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.111	0.888	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.110	0.889	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.107	0.893	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.104	0.896	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.103	0.897	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.102	0.897	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.099	0.900	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.097	0.903	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.094	0.906	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.090	0.910	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.088	0.912	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.087	0.913	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.086	0.914	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.086	0.914	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.082	0.918	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.082	0.918	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.081	0.919	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.079	0.921	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.078	0.922	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.076	0.924	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.073	0.927	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.073	0.927	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.072	0.927	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	0.930	0.070
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.064	0.936	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.062	0.938	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.059	0.941	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.055	0.945	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.055	0.945	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.054	0.946	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.053	0.946	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.050	0.950	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.050	0.950	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.049	0.951	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.049	0.951	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.048	0.952	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.048	0.952	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.047	0.953	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.046	0.954	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.046	0.954	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.045	0.955	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.044	0.955	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.044	0.956	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.043	0.957	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.042	0.958	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.958	0.042
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.041	0.958	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.041	0.959	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.040	0.960	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.039	0.960	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.039	0.961	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.038	0.961	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.037	0.963	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.037	0.963	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.037	0.963	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.035	0.965	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.034	0.965	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.034	0.966	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.031	0.969	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.031	0.969	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.028	0.972	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.027	0.973	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.026	0.974	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.026	0.974	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.024	0.976	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.023	0.976	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.022	0.978	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.022	0.978	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.022	0.978	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.020	0.979	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.020	0.980	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.018	0.982	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.016	0.982	0.001
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.017	0.983	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.017	0.983	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.016	0.984	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.015	0.985	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.015	0.985	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.014	0.985	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.014	0.986	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.014	0.986	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.013	0.986	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.013	0.986	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.013	0.987	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.013	0.987	0.000
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rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.001	0.999	0.000
rs56117011 lBF = `-0.00211625` Chr`8` : `144,999,642`	0.001	0.999	0.000
rs35916068 lBF = `-0.00226273` Chr`8` : `144,999,684`	0.001	0.999	0.000
rs1140522 lBF = `-0.00667956` Chr`8` : `144,998,169`	0.001	0.999	0.000
rs7016416 lBF = `-0.00751253` Chr`8` : `144,997,656`	0.001	0.999	0.000
rs7002002 lBF = `-0.00863131` Chr`8` : `144,997,927`	0.001	0.999	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.001	0.999	0.000
rs11777402 lBF = `-0.00210228` Chr`8` : `144,995,736`	0.001	0.999	0.000
rs11778026 lBF = `-0.0123139` Chr`8` : `144,996,408`	0.001	0.999	0.000
rs11786903 lBF = `-0.0127512` Chr`8` : `144,996,598`	0.001	0.999	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.000
rs6558407 lBF = `-0.0239189` Chr`8` : `144,995,494`	0.001	0.999	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	0.999	0.001
rs655028 lBF = `20.4236` Chr`8` : `70,049,047`	0.001	0.999	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.001	0.999	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.001	0.999	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.001	0.999	0.000
rs6988306 lBF = `-0.0272986` Chr`8` : `102,596,210`	0.001	0.999	0.000
rs2945232 lBF = `3.08305` Chr`8` : `8,098,038`	0.001	0.999	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.001	0.999	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.001	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.001
rs604254 lBF = `20.4602` Chr`8` : `70,059,164`	0.001	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.001	0.999	0.000
rs6984820 lBF = `-0.0537633` Chr`8` : `144,993,324`	0.001	0.999	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.001	0.999	0.000
rs10095849 lBF = `-0.0514005` Chr`8` : `39,408,586`	0.001	0.999	0.000
rs11988906 lBF = `-0.127211` Chr`8` : `4,251,284`	0.000	0.999	0.001
rs2618476 lBF = `0.0128908` Chr`8` : `11,352,541`	0.000	0.999	0.001
rs7003550 lBF = `-0.0225117` Chr`8` : `135,850,898`	0.000	0.999	0.001
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.001	0.999	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.001	0.999	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.001	0.999	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.001	0.999	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.000	0.999	0.001
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.001	0.999	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.001	0.999	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	0.999	0.001
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	0.999	0.001
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.001	0.999	0.000
rs4596632 lBF = `0.305403` Chr`8` : `132,353,735`	0.000	0.999	0.001
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.001	0.999	0.000
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.001	0.999	0.000
rs62531686 lBF = `-0.0768538` Chr`8` : `138,909,719`	0.001	0.999	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.001	0.999	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.999	0.001
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.001	0.999	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	0.999	0.001
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.001
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.001	0.999	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.000	0.999	0.001
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.001	0.999	0.000
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	0.999	0.001
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	0.999	0.001
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.001	0.999	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	0.999	0.001
rs2410601 lBF = `-0.0828744` Chr`8` : `18,922,577`	0.001	0.999	0.000
rs2221894 lBF = `-0.0862574` Chr`8` : `28,791,159`	0.001	0.999	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.000	0.999	0.001
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.001	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.001	0.999	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.001	0.999	0.000
rs12680655 lBF = `-0.0634072` Chr`8` : `135,637,337`	0.001	0.999	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	0.999	0.001
rs17766217 lBF = `0.572149` Chr`8` : `128,504,497`	0.001	0.999	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	0.999	0.001
rs4075154 lBF = `-0.0319299` Chr`8` : `57,209,246`	0.000	0.999	0.001
rs10092658 lBF = `-0.0463732` Chr`8` : `130,980,472`	0.000	0.999	0.001
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.001	0.999	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.001	0.999	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	0.999	0.001
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.000	0.999	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.001	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	0.001	0.999	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.001	0.999	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.001	0.999	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	0.999	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	0.999	0.000
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.000	0.999	0.000
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.000	0.999	0.000
rs1835740 lBF = `-0.018685` Chr`8` : `98,166,913`	0.000	0.999	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	0.999	0.001
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.000	0.999	0.001
rs12155789 lBF = `-0.0968561` Chr`8` : `22,643,707`	0.000	0.999	0.000
rs10955961 lBF = `-0.100956` Chr`8` : `121,218,601`	0.000	0.999	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs11785400 lBF = `0.145866` Chr`8` : `143,730,456`	0.000	1.000	0.000
rs7464572 lBF = `0.0588959` Chr`8` : `145,021,167`	0.000	1.000	0.000
rs80018415 lBF = `-0.0366853` Chr`8` : `133,916,799`	0.000	1.000	0.000
rs4281086 lBF = `-0.0825628` Chr`8` : `10,352,308`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7600

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1612

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9994

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9992

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9989

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9965

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9932

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9921

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9918

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9907

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9832

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9785

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9761

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9727

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9724

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9719

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9678

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9577

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9434

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9377

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9330

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9285

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9142

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8981

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8566

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8509

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8399

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8157

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7925

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7694

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7514

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7511

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7444

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7230

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7175

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7170

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6802

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6794

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6645

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6562

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6482

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6453

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6072

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5879

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5358

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5349

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5229

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5205

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5069

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4889

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4420

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4402

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4297

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4062

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3927

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3902

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3597

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3555

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3552

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3388

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3346

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3144

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3030

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3014

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3003

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2966

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2880

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2812

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2423

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2275

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2223

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2086

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2039

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1983

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1939

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1884

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1848

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1805

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1552

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1518

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1471

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1433

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1226

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0988

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0969

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0911

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0847

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0839

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0815

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0765

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0745

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0667

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0598

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0581

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0531

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`)