TreeWAS – [K25.6] Chronic or unspecified with both haemorrhage and perforation

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
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.682	0.318	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.673	0.326	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.650	0.349	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.629	0.371	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.618	0.382	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.610	0.390	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.608	0.392	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.603	0.397	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.591	0.408	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.564	0.436	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.522	0.477	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.522	0.478	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.517	0.483	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.515	0.485	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.514	0.486	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.502	0.498	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.497	0.503	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.486	0.513	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.476	0.523	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.461	0.539	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.458	0.542	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.456	0.544	0.000
rs75598744 lBF = `3.85923` Chr`2` : `82,016,463`	0.450	0.549	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.439	0.561	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.436	0.564	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.433	0.567	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.413	0.586	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.413	0.586	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.401	0.599	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.367	0.633	0.000
rs111571364 lBF = `1.65625` Chr`2` : `27,859,317`	0.000	0.640	0.360
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.357	0.643	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.355	0.645	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.354	0.645	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.344	0.656	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.336	0.663	0.001
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.331	0.669	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.320	0.680	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.687	0.312
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.312	0.688	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.311	0.689	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.310	0.690	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.307	0.693	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.287	0.713	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.286	0.713	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.269	0.731	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.263	0.737	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.260	0.740	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.247	0.753	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.243	0.757	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.237	0.763	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.215	0.785	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.202	0.797	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.190	0.809	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.188	0.812	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.184	0.816	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.173	0.827	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.171	0.828	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.171	0.829	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.166	0.833	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.156	0.844	0.000
rs1058065 lBF = `0.301022` Chr`2` : `27,587,724`	0.000	0.848	0.152
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.146	0.854	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.143	0.857	0.000
rs183373550 lBF = `1.19395` Chr`2` : `141,269,442`	0.000	0.867	0.132
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.127	0.873	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.121	0.879	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.118	0.881	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.113	0.887	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.111	0.889	0.000
rs115249811 lBF = `0.120835` Chr`2` : `50,927,119`	0.106	0.894	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.106	0.894	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.100	0.900	0.000
rs10432496 lBF = `0.00811173` Chr`2` : `150,147,278`	0.000	0.908	0.092
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.087	0.913	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.085	0.915	0.000
rs187293906 lBF = `0.0850575` Chr`2` : `70,665,662`	0.081	0.919	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.079	0.921	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.074	0.926	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.072	0.928	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.070	0.930	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.066	0.934	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.063	0.937	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.062	0.938	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.059	0.941	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.057	0.943	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.055	0.945	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.053	0.946	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.053	0.947	0.000
rs181867028 lBF = `0.380125` Chr`2` : `2,545,734`	0.051	0.949	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.050	0.950	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.049	0.951	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.049	0.951	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.048	0.952	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.048	0.952	0.000
rs80196851 lBF = `0.069502` Chr`2` : `173,789,113`	0.047	0.953	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.046	0.954	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.045	0.954	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.045	0.955	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.045	0.955	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.043	0.957	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.041	0.959	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.039	0.961	0.000
rs10199082 lBF = `24.9735` Chr`2` : `56,040,099`	0.039	0.961	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.037	0.963	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.036	0.964	0.000
rs74760234 lBF = `0.0491385` Chr`2` : `56,025,873`	0.034	0.966	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.034	0.966	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.033	0.966	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.031	0.969	0.000
rs185580150 lBF = `0.118488` Chr`2` : `27,730,367`	0.029	0.971	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.029	0.971	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.027	0.972	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.027	0.973	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.027	0.973	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.025	0.975	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.023	0.976	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.023	0.976	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.023	0.977	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.022	0.977	0.000
rs7561107 lBF = `0.0260966` Chr`2` : `129,029,402`	0.022	0.977	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.022	0.978	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.020	0.980	0.000
rs7606224 lBF = `0.021974` Chr`2` : `190,643,649`	0.019	0.981	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.019	0.981	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.018	0.982	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.017	0.983	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.017	0.983	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.017	0.983	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.016	0.983	0.001
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.016	0.984	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.016	0.984	0.000
rs13414205 lBF = `0.0177885` Chr`2` : `44,662,475`	0.016	0.984	0.000
rs7560163 lBF = `0.0323714` Chr`2` : `151,637,936`	0.015	0.985	0.000
rs35881094 lBF = `0.124097` Chr`2` : `58,922,921`	0.015	0.985	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.015	0.985	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.014	0.985	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.013	0.986	0.000
rs191356286 lBF = `0.0130101` Chr`2` : `82,325,816`	0.013	0.987	0.000
rs13424957 lBF = `0.00932075` Chr`2` : `165,750,390`	0.012	0.987	0.000
rs184148048 lBF = `0.149457` Chr`2` : `66,439,289`	0.012	0.988	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.012	0.988	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.012	0.988	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.012	0.988	0.000
rs190183456 lBF = `0.0122495` Chr`2` : `51,682,455`	0.012	0.988	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.012	0.988	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.011	0.988	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.011	0.988	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.011	0.989	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.011	0.989	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.011	0.989	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.009	0.989	0.002
rs11679753 lBF = `0.0149331` Chr`2` : `62,552,321`	0.010	0.989	0.000
rs6712333 lBF = `0.137553` Chr`2` : `231,230,171`	0.000	0.990	0.010
rs76506302 lBF = `0.0136363` Chr`2` : `200,671,903`	0.010	0.990	0.000
rs11888485 lBF = `0.0124095` Chr`2` : `118,687,232`	0.010	0.990	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.010	0.990	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.010	0.990	0.000
rs6735179 lBF = `-0.0282832` Chr`2` : `1,777,150`	0.010	0.990	0.000
rs75009721 lBF = `0.0388427` Chr`2` : `24,477,054`	0.000	0.990	0.010
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.010	0.990	0.000
rs56988800 lBF = `1.77665` Chr`2` : `71,688,118`	0.009	0.990	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.006	0.990	0.003
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.009	0.991	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.009	0.991	0.000
rs542631 lBF = `0.133434` Chr`2` : `33,301,947`	0.008	0.992	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.008	0.992	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.008	0.992	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.008	0.992	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.008	0.992	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.007	0.993	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.007	0.993	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.007	0.993	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.007	0.993	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.007	0.993	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.006	0.994	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.006	0.994	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.006	0.994	0.000
rs13017997 lBF = `0.0226833` Chr`2` : `156,844,760`	0.000	0.994	0.006
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.006	0.994	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.005	0.994	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.005	0.995	0.000
rs75638626 lBF = `0.0109882` Chr`2` : `147,708,864`	0.005	0.995	0.000
rs1012307 lBF = `0.00530942` Chr`2` : `150,655,221`	0.005	0.995	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.005	0.995	0.000
rs231735 lBF = `32.1003` Chr`2` : `204,693,876`	0.005	0.995	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.005	0.995	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.004	0.995	0.000
rs10208407 lBF = `0.00654149` Chr`2` : `161,757,129`	0.004	0.995	0.000
rs1514687 lBF = `0.0156875` Chr`2` : `1,437,988`	0.000	0.995	0.004
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.004	0.996	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.004	0.996	0.000
rs2289195 lBF = `0.215071` Chr`2` : `25,463,483`	0.000	0.996	0.004
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.004	0.996	0.000
rs2396190 lBF = `-0.0751111` Chr`2` : `226,009,838`	0.004	0.996	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.004	0.996	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.004	0.996	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.004	0.996	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.003	0.996	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.003	0.996	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.003	0.996	0.000
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rs16840760 lBF = `-0.00033046` Chr`2` : `204,983,554`	0.001	0.999	0.000
rs13403179 lBF = `-0.00126416` Chr`2` : `15,482,752`	0.000	0.999	0.001
rs78226650 lBF = `0.00006152` Chr`2` : `59,153,054`	0.000	0.999	0.001
rs59904869 lBF = `-0.00025106` Chr`2` : `228,003,642`	0.000	0.999	0.000
rs61741390 lBF = `-0.0003914` Chr`2` : `206,305,262`	0.001	0.999	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.001	0.999	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.001	0.999	0.000
rs150411716 lBF = `-0.00135998` Chr`2` : `374,709`	0.000	0.999	0.001
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.001	0.999	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.001	0.999	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.001	0.999	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.001	0.999	0.000
rs78857879 lBF = `10.357` Chr`2` : `56,135,099`	0.001	0.999	0.000
rs142793646 lBF = `0.00090677` Chr`2` : `123,167,812`	0.001	0.999	0.000
rs150734725 lBF = `0.0001844` Chr`2` : `195,151,205`	0.000	0.999	0.000
rs4665058 lBF = `-0.00549167` Chr`2` : `160,190,209`	0.000	0.999	0.001
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.001	0.999	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.001	0.999	0.000
rs16851771 lBF = `0.00701525` Chr`2` : `215,188,619`	0.001	0.999	0.000
rs951188 lBF = `-0.018672` Chr`2` : `150,293,319`	0.001	0.999	0.000
rs7580332 lBF = `-0.0237795` Chr`2` : `18,540,644`	0.001	0.999	0.000
rs11126630 lBF = `-0.0881955` Chr`2` : `77,942,844`	0.000	0.999	0.001
rs4148218 lBF = `14.1783` Chr`2` : `44,099,582`	0.001	0.999	0.000
rs78488377 lBF = `7.59067` Chr`2` : `203,693,277`	0.001	0.999	0.000
rs12998155 lBF = `0.0319844` Chr`2` : `80,121,189`	0.000	0.999	0.001
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.000	0.999	0.001
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.001	0.999	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.001	0.999	0.000
rs114997855 lBF = `0.144382` Chr`2` : `30,622,824`	0.000	0.999	0.001
rs149960642 lBF = `0.0200289` Chr`2` : `14,203,645`	0.000	0.999	0.001
rs115242848 lBF = `0.0130979` Chr`2` : `119,507,607`	0.001	0.999	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.001	0.999	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.001	0.999	0.000
rs6715284 lBF = `0.0464514` Chr`2` : `202,154,397`	0.000	0.999	0.001
rs1435547 lBF = `-0.00206827` Chr`2` : `11,738,091`	0.000	0.999	0.001
rs982393 lBF = `-0.049586` Chr`2` : `164,490,529`	0.000	0.999	0.001
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.001	0.999	0.000
rs72836344 lBF = `6.53559` Chr`2` : `111,874,699`	0.001	0.999	0.000
rs62169186 lBF = `0.0376384` Chr`2` : `145,061,131`	0.001	0.999	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.001	0.999	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.001	0.999	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.001	0.999	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.001	0.999	0.000
rs186552003 lBF = `0.0643485` Chr`2` : `47,670,254`	0.000	0.999	0.001
rs10194115 lBF = `0.00315417` Chr`2` : `47,240,012`	0.001	0.999	0.000
rs6722486 lBF = `-0.00181497` Chr`2` : `209,455,766`	0.000	0.999	0.000
rs11688246 lBF = `-0.0460943` Chr`2` : `85,705,677`	0.000	0.999	0.001
rs3087243 lBF = `41.252` Chr`2` : `204,738,919`	0.001	0.999	0.000
rs77059113 lBF = `9.7216` Chr`2` : `43,672,508`	0.001	0.999	0.000
rs11675434 lBF = `5.66866` Chr`2` : `1,407,815`	0.001	0.999	0.000
rs6759952 lBF = `-0.0507736` Chr`2` : `218,271,719`	0.000	0.999	0.001
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.000	0.999	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.000	0.999	0.000
rs10181042 lBF = `0.509153` Chr`2` : `61,224,259`	0.000	0.999	0.001
rs7581919 lBF = `0.0136103` Chr`2` : `15,664,756`	0.000	0.999	0.001
rs17668738 lBF = `-0.00726218` Chr`2` : `15,512,723`	0.001	0.999	0.000
rs34487851 lBF = `-0.0993204` Chr`2` : `106,642,554`	0.000	0.999	0.001
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.000	0.999	0.001
rs10188217 lBF = `3.62195` Chr`2` : `61,217,542`	0.000	0.999	0.000
rs55678912 lBF = `0.185937` Chr`2` : `16,191,545`	0.000	0.999	0.001
rs1912188 lBF = `0.0319248` Chr`2` : `215,218,867`	0.000	0.999	0.001
rs116554435 lBF = `-0.00133609` Chr`2` : `381,284`	0.000	0.999	0.000
rs2970989 lBF = `-0.0305189` Chr`2` : `101,314,069`	0.001	0.999	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.001	0.999	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.000	0.999	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.000	0.999	0.000
rs7578597 lBF = `8.40771` Chr`2` : `43,732,823`	0.001	0.999	0.000
rs76833157 lBF = `-0.00432377` Chr`2` : `164,801,785`	0.000	0.999	0.000
rs3768939 lBF = `-0.00694992` Chr`2` : `236,990,057`	0.000	0.999	0.001
rs6435387 lBF = `-0.0298005` Chr`2` : `149,865,250`	0.001	0.999	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.000	0.999	0.001
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.001	0.999	0.000
rs7604827 lBF = `0.0645469` Chr`2` : `215,341,890`	0.000	0.999	0.001
rs183699028 lBF = `0.0221785` Chr`2` : `14,157,255`	0.000	0.999	0.000
rs5742933 lBF = `-0.00093391` Chr`2` : `190,649,316`	0.000	0.999	0.001
rs2033354 lBF = `-0.084808` Chr`2` : `15,216,616`	0.001	0.999	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.000	0.999	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.000	0.999	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.000	0.999	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.000	0.999	0.000
rs78487399 lBF = `2.59975` Chr`2` : `43,809,347`	0.001	0.999	0.000
rs13003464 lBF = `0.646419` Chr`2` : `61,186,829`	0.000	0.999	0.000
rs62182887 lBF = `0.171175` Chr`2` : `191,442,869`	0.000	0.999	0.000
rs10184704 lBF = `-0.11157` Chr`2` : `127,452,764`	0.000	0.999	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.000	0.999	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.000	0.999	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.000	0.999	0.000
rs1449984 lBF = `1.35649` Chr`2` : `23,414,651`	0.000	0.999	0.000
rs71420856 lBF = `0.0951516` Chr`2` : `129,562,701`	0.000	0.999	0.000
rs4971486 lBF = `0.0359162` Chr`2` : `4,895,318`	0.000	0.999	0.000
rs1257344 lBF = `-0.0150152` Chr`2` : `144,598,432`	0.000	0.999	0.000
rs55883249 lBF = `-0.0430538` Chr`2` : `9,741,535`	0.000	0.999	0.000
rs4954218 lBF = `-0.0920562` Chr`2` : `135,803,425`	0.000	0.999	0.000
rs231770 lBF = `35.3694` Chr`2` : `204,729,153`	0.000	0.999	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	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)

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4040

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3412

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7168

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7165

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7153

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7135

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7133

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7124

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7109

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7101

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7090

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7086

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7011

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6995

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6938

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6719

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6581

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6500

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6401

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6333

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6094

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6024

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5946

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5935

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5715

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5516

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4909

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4812

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4694

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4504

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4503

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4394

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4284

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3860

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3801

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3591

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3407

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3344

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3329

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2781

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2741

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2723

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2381

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2353

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2328

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2029

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1904

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1686

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1347

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1319

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0963

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0717

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0687

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0627

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0606

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0542

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`)