TreeWAS – [K60] Fissure and fistula of anal and rectal regions

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K60

Fissure and fistula of anal and rectal regions

Parent term	K55-K64 Other diseases of intestines
Nested terms	K60.0 Acute anal fissure K60.1 Chronic anal fissure K60.2 Anal fissure, unspecified K60.3 Anal fistula K60.4 Rectal fistula K60.5 Anorectal fistula

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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
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.978	0.022	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.973	0.027	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.919	0.081	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.888	0.112	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.884	0.116	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.815	0.185	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.815	0.185	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.767	0.233	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.747	0.253	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.680	0.320	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.633	0.367	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.607	0.393	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.587	0.413	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.582	0.418	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.567	0.433	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.555	0.445	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.550	0.449	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.519	0.481	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.516	0.484	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.502	0.498	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.488	0.512	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.474	0.526	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.458	0.542	0.000
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.436	0.564	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.435	0.565	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.430	0.570	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.388	0.612	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.387	0.613	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.373	0.627	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.357	0.642	0.001
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.346	0.653	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.320	0.680	0.000
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.313	0.686	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.276	0.724	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.271	0.729	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.258	0.742	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.233	0.766	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.227	0.773	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.221	0.779	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.211	0.789	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.207	0.793	0.000
rs35283305 lBF = `7.41295` Chr`11` : `74,250,100`	0.000	0.799	0.201
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.200	0.800	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.195	0.805	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.809	0.190
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.189	0.811	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.164	0.836	0.001
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.161	0.839	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.152	0.848	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.149	0.851	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.139	0.861	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.135	0.865	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.130	0.869	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.130	0.870	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.130	0.870	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.111	0.889	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.111	0.889	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.109	0.891	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.106	0.894	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.098	0.902	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.096	0.903	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.092	0.908	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.091	0.909	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.088	0.912	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.082	0.918	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.081	0.919	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.078	0.922	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.076	0.924	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.070	0.929	0.000
rs17098961 lBF = `0.10586` Chr`11` : `102,480,390`	0.000	0.932	0.068
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.062	0.938	0.000
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.061	0.939	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.061	0.939	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.054	0.946	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.049	0.951	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.048	0.952	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.046	0.954	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.042	0.958	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.041	0.958	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.041	0.959	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.038	0.962	0.000
rs11603151 lBF = `0.0227894` Chr`11` : `134,524,449`	0.000	0.962	0.038
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.037	0.963	0.000
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.036	0.964	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.035	0.964	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.035	0.965	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.034	0.965	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.034	0.966	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.034	0.966	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.032	0.968	0.001
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.031	0.969	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.029	0.971	0.000
rs9919625 lBF = `0.00850124` Chr`11` : `11,592,911`	0.029	0.971	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.029	0.971	0.000
rs7108470 lBF = `-0.0566653` Chr`11` : `5,625,603`	0.027	0.973	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.025	0.975	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.025	0.975	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.023	0.977	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.022	0.978	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.022	0.978	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.021	0.979	0.001
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.021	0.979	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.021	0.979	0.000
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.021	0.979	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.021	0.979	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.020	0.980	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.020	0.980	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.019	0.981	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.018	0.982	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.017	0.983	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.017	0.983	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.017	0.983	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.016	0.984	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.015	0.985	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.015	0.985	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.015	0.985	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.014	0.986	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.014	0.986	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.012	0.987	0.001
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.012	0.988	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.012	0.988	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.010	0.990	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.009	0.991	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.009	0.991	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.009	0.991	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.007	0.991	0.001
rs67072384 lBF = `1.15061` Chr`11` : `72,450,724`	0.000	0.991	0.009
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.008	0.991	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.008	0.992	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.008	0.992	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.008	0.992	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.008	0.992	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.008	0.992	0.000
rs638893 lBF = `-0.0776446` Chr`11` : `118,698,537`	0.000	0.992	0.008
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.007	0.992	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.007	0.993	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.007	0.993	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.006	0.993	0.001
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.007	0.993	0.000
rs1109748 lBF = `0.090938` Chr`11` : `61,722,645`	0.007	0.993	0.000
rs6357 lBF = `15.8552` Chr`11` : `2,188,238`	0.000	0.993	0.007
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.007	0.993	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.006	0.994	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.006	0.994	0.000
rs3812762 lBF = `0.216678` Chr`11` : `8,751,640`	0.000	0.994	0.006
rs10892279 lBF = `4.0643` Chr`11` : `118,611,781`	0.000	0.994	0.006
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.001	0.994	0.005
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.006	0.994	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.006	0.994	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.005	0.995	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.005	0.995	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.005	0.995	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.005	0.995	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.005	0.995	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.005	0.995	0.000
rs7934094 lBF = `-0.0432751` Chr`11` : `43,505,707`	0.000	0.996	0.004
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.004	0.996	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.004	0.996	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.004	0.996	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.004	0.996	0.000
rs7925908 lBF = `0.588823` Chr`11` : `131,146,750`	0.004	0.996	0.000
rs4980389 lBF = `11.6122` Chr`11` : `1,892,585`	0.000	0.996	0.004
rs1582763 lBF = `-0.0134554` Chr`11` : `60,021,948`	0.004	0.996	0.000
rs1267813 lBF = `-0.0567314` Chr`11` : `133,981,075`	0.003	0.997	0.000
rs1474107 lBF = `0.00057069` Chr`11` : `36,790,685`	0.003	0.997	0.000
rs192772225 lBF = `0.00472722` Chr`11` : `84,048,202`	0.003	0.997	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.003	0.997	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.003	0.997	0.000
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.003	0.997	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.003	0.997	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.003	0.997	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.003	0.997	0.000
rs286499 lBF = `0.534486` Chr`11` : `85,193,869`	0.003	0.997	0.000
rs10892151 lBF = `0.00700115` Chr`11` : `117,531,731`	0.000	0.997	0.003
rs12282742 lBF = `0.00112308` Chr`11` : `18,265,799`	0.000	0.997	0.003
rs2456568 lBF = `0.0529835` Chr`11` : `93,691,332`	0.003	0.997	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.003	0.997	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.003	0.997	0.000
rs3842770 lBF = `0.00315047` Chr`11` : `2,178,670`	0.002	0.997	0.000
rs11827215 lBF = `-0.0077398` Chr`11` : `61,458,595`	0.000	0.997	0.003
rs630923 lBF = `0.825991` Chr`11` : `118,754,353`	0.000	0.997	0.003
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.002	0.997	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.003	0.997	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.003	0.997	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.002	0.997	0.000
rs8181588 lBF = `2.9238` Chr`11` : `2,831,541`	0.002	0.998	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.002	0.998	0.000
rs117767473 lBF = `0.00381954` Chr`11` : `70,326,593`	0.002	0.998	0.000
rs11601906 lBF = `0.741712` Chr`11` : `131,325,246`	0.002	0.998	0.000
rs4963243 lBF = `-0.0126148` Chr`11` : `61,494,327`	0.000	0.998	0.002
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.002	0.998	0.000
rs3741298 lBF = `17.5516` Chr`11` : `116,657,561`	0.002	0.998	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.002	0.998	0.000
rs78894156 lBF = `0.00106884` Chr`11` : `17,642,129`	0.002	0.998	0.000
rs189780858 lBF = `0.113446` Chr`11` : `83,917,146`	0.002	0.998	0.000
rs149502810 lBF = `0.00313446` Chr`11` : `36,286,830`	0.002	0.998	0.000
rs11825259 lBF = `0.00141418` Chr`11` : `33,806,822`	0.000	0.998	0.002
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rs1791581 lBF = `-0.0390159` Chr`11` : `106,496,038`	0.000	1.000	0.000
rs2218565 lBF = `-0.0436572` Chr`11` : `36,336,263`	0.000	1.000	0.000
rs964184 lBF = `28.4991` Chr`11` : `116,648,917`	0.000	1.000	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.000	1.000	0.000
rs10896794 lBF = `0.995896` Chr`11` : `58,339,124`	0.000	1.000	0.000
rs7947981 lBF = `-0.00475743` Chr`11` : `2,626,334`	0.000	1.000	0.000
rs11230201 lBF = `-0.054889` Chr`11` : `59,996,994`	0.000	1.000	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.000	1.000	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.000	1.000	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.000	1.000	0.000
rs7944584 lBF = `2.41159` Chr`11` : `47,336,320`	0.000	1.000	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.000	1.000	0.000
rs2027760 lBF = `0.210215` Chr`11` : `73,036,481`	0.000	1.000	0.000
rs682457 lBF = `0.147637` Chr`11` : `87,949,532`	0.000	1.000	0.000
rs11263654 lBF = `0.0678419` Chr`11` : `69,238,123`	0.000	1.000	0.000
rs12801636 lBF = `3.74717` Chr`11` : `65,391,317`	0.000	1.000	0.000
rs187478995 lBF = `0.685641` Chr`11` : `23,434,935`	0.000	1.000	0.000
rs75038630 lBF = `-0.0435315` Chr`11` : `131,758,328`	0.000	1.000	0.000
rs2001754 lBF = `23.323` Chr`11` : `111,125,512`	0.000	1.000	0.000
rs147831109 lBF = `0.459381` Chr`11` : `23,382,361`	0.000	1.000	0.000
rs6486121 lBF = `0.0388706` Chr`11` : `13,355,770`	0.000	1.000	0.000
rs7948661 lBF = `0.0354698` Chr`11` : `118,341,649`	0.000	1.000	0.000
rs341075 lBF = `0.1134` Chr`11` : `72,257,963`	0.000	1.000	0.000
rs10160242 lBF = `0.0580343` Chr`11` : `108,498,885`	0.000	1.000	0.000
rs77301713 lBF = `0.0111437` Chr`11` : `76,832,446`	0.000	1.000	0.000
rs6484218 lBF = `-0.062682` Chr`11` : `10,390,581`	0.000	1.000	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.000	1.000	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.000	1.000	0.000
rs11039182 lBF = `2.48528` Chr`11` : `47,346,723`	0.000	1.000	0.000
rs7130144 lBF = `0.754036` Chr`11` : `130,480,592`	0.000	1.000	0.000
rs11826937 lBF = `0.375403` Chr`11` : `78,659,145`	0.000	1.000	0.000
rs117509195 lBF = `0.230797` Chr`11` : `60,387,018`	0.000	1.000	0.000
rs506338 lBF = `-0.0311605` Chr`11` : `64,440,920`	0.000	1.000	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.000	1.000	0.000
rs3817334 lBF = `0.569971` Chr`11` : `47,650,993`	0.000	1.000	0.000
rs11022756 lBF = `0.555468` Chr`11` : `13,315,439`	0.000	1.000	0.000
rs55770291 lBF = `0.0173265` Chr`11` : `76,922,581`	0.000	1.000	0.000
rs17807909 lBF = `-0.00004601` Chr`11` : `84,335,666`	0.000	1.000	0.000
rs12800752 lBF = `-0.00288427` Chr`11` : `100,406,640`	0.000	1.000	0.000
rs10501858 lBF = `-0.00702953` Chr`11` : `126,030,615`	0.000	1.000	0.000
rs548181 lBF = `-0.0586995` Chr`11` : `125,461,709`	0.000	1.000	0.000
rs923175 lBF = `-0.0725181` Chr`11` : `12,072,503`	0.000	1.000	0.000
rs10769025 lBF = `-0.0972964` Chr`11` : `44,289,435`	0.000	1.000	0.000
rs7118248 lBF = `8.53999` Chr`11` : `92,623,349`	0.000	1.000	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.000	1.000	0.000
rs1079596 lBF = `0.835169` Chr`11` : `113,296,619`	0.000	1.000	0.000
rs7937106 lBF = `0.119253` Chr`11` : `107,354,312`	0.000	1.000	0.000
rs1488902 lBF = `0.095932` Chr`11` : `89,345,025`	0.000	1.000	0.000
rs7105934 lBF = `0.0203496` Chr`11` : `69,239,741`	0.000	1.000	0.000
rs2847500 lBF = `-0.0786059` Chr`11` : `120,114,421`	0.000	1.000	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.000	1.000	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.000	1.000	0.000
rs2237892 lBF = `3.25673` Chr`11` : `2,839,751`	0.000	1.000	0.000
rs7394570 lBF = `0.141518` Chr`11` : `42,315,886`	0.000	1.000	0.000
rs1670685 lBF = `-0.00512014` Chr`11` : `83,892,524`	0.000	1.000	0.000
rs9787796 lBF = `-0.0751272` Chr`11` : `132,481,173`	0.000	1.000	0.000
rs1847134 lBF = `23.2132` Chr`11` : `89,005,253`	0.000	1.000	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.000	1.000	0.000
rs4937314 lBF = `-0.0131759` Chr`11` : `128,189,101`	0.000	1.000	0.000
rs12295403 lBF = `-0.0190296` Chr`11` : `18,689,653`	0.000	1.000	0.000
rs1355223 lBF = `-0.0384717` Chr`11` : `34,764,479`	0.000	1.000	0.000
rs563519 lBF = `-0.108992` Chr`11` : `126,028,717`	0.000	1.000	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.000	1.000	0.000
rs10501320 lBF = `3.19398` Chr`11` : `47,293,799`	0.000	1.000	0.000
rs74360883 lBF = `1.78422` Chr`11` : `45,550,753`	0.000	1.000	0.000
rs72985562 lBF = `1.17824` Chr`11` : `102,800,278`	0.000	1.000	0.000
rs4757144 lBF = `0.4097` Chr`11` : `13,331,226`	0.000	1.000	0.000
rs11607499 lBF = `0.0169535` Chr`11` : `81,811,229`	0.000	1.000	0.000
rs35329661 lBF = `-0.00486759` Chr`11` : `74,974,990`	0.000	1.000	0.000
rs10897518 lBF = `-0.012703` Chr`11` : `64,360,705`	0.000	1.000	0.000
rs77124415 lBF = `-0.0144295` Chr`11` : `42,225,827`	0.000	1.000	0.000
rs17556665 lBF = `-0.045864` Chr`11` : `14,098,482`	0.000	1.000	0.000
rs2524299 lBF = `1.00252` Chr`11` : `61,604,782`	0.000	1.000	0.000
rs573521 lBF = `0.283424` Chr`11` : `102,716,980`	0.000	1.000	0.000
rs11041530 lBF = `0.00760206` Chr`11` : `7,701,503`	0.000	1.000	0.000
rs117325735 lBF = `0.00328616` Chr`11` : `105,277,570`	0.000	1.000	0.000
rs472926 lBF = `-0.0250718` Chr`11` : `125,905,258`	0.000	1.000	0.000
rs2186903 lBF = `-0.0597725` Chr`11` : `107,756,551`	0.000	1.000	0.000
rs4471463 lBF = `-0.105324` Chr`11` : `112,983,595`	0.000	1.000	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.000	1.000	0.000
rs11229555 lBF = `2.04918` Chr`11` : `58,408,687`	0.000	1.000	0.000
rs479844 lBF = `0.680094` Chr`11` : `65,551,957`	0.000	1.000	0.000
rs17147674 lBF = `0.460285` Chr`11` : `84,589,922`	0.000	1.000	0.000
rs2176598 lBF = `0.261767` Chr`11` : `43,864,278`	0.000	1.000	0.000
rs4938642 lBF = `0.0964366` Chr`11` : `119,099,906`	0.000	1.000	0.000
rs2727261 lBF = `0.0199689` Chr`11` : `61,712,131`	0.000	1.000	0.000
rs518167 lBF = `0.0126559` Chr`11` : `88,668,140`	0.000	1.000	0.000
rs3017493 lBF = `-0.00015544` Chr`11` : `70,665,521`	0.000	1.000	0.000
rs7950069 lBF = `-0.00148905` Chr`11` : `115,140,553`	0.000	1.000	0.000
rs7940646 lBF = `-0.0084017` Chr`11` : `10,669,228`	0.000	1.000	0.000
rs505802 lBF = `-0.0112161` Chr`11` : `64,357,072`	0.000	1.000	0.000
rs524023 lBF = `-0.0117692` Chr`11` : `64,358,265`	0.000	1.000	0.000
rs11031436 lBF = `-0.0462897` Chr`11` : `31,663,882`	0.000	1.000	0.000
rs1943345 lBF = `-0.0475349` Chr`11` : `82,876,270`	0.000	1.000	0.000
rs10047462 lBF = `2.4031` Chr`11` : `116,722,041`	0.000	1.000	0.000
rs11019935 lBF = `2.26067` Chr`11` : `88,174,968`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9999

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9914

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9837

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9832

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9525

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9453

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9387

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8973

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8947

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8585

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8537

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8370

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7973

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7970

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7944

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7667

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7225

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7114

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7092

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6950

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6708

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6360

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6117

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5834

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5829

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5742

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5342

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5270

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5265

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5202

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5072

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4941

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4627

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4554

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4505

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4086

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3916

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3863

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3816

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3760

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3709

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3619

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3598

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3587

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3406

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3348

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3327

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3053

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2654

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2632

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2622

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2492

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2387

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1923

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1781

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1744

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1586

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1498

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1366

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1312

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1296

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1189

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1188

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1111

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1031

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0939

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0903

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0889

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0880

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0869

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0855

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0846

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0810

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0803

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0688

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0626

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0601

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0538

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`)