TreeWAS – [K92] Other diseases of digestive system

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K92

Other diseases of digestive system

Parent term	K90-K93 Other diseases of the digestive system
Nested terms	K92.0 Haematemesis K92.1 Melaena K92.2 Gastro-intestinal haemorrhage, unspecified K92.8 Other specified diseases of digestive system K92.9 Disease of digestive system, unspecified

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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
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.994	0.006	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.992	0.008	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.920	0.080	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.920	0.080	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.831	0.169	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.812	0.188	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.800	0.200	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.762	0.238	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.760	0.240	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.741	0.259	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.719	0.281	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.689	0.311	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.659	0.341	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.657	0.343	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.654	0.346	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.638	0.362	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.628	0.372	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.614	0.386	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.602	0.398	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.597	0.403	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.596	0.404	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.593	0.407	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.584	0.416	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.562	0.438	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.555	0.445	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.532	0.468	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.508	0.491	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.499	0.501	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.496	0.504	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.473	0.527	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.468	0.531	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.443	0.557	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.441	0.559	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.434	0.566	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.424	0.576	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.420	0.580	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.416	0.584	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.405	0.595	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.373	0.627	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.356	0.644	0.000
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.346	0.653	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.338	0.662	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.324	0.676	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.323	0.677	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.315	0.684	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.301	0.699	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.285	0.715	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.275	0.725	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.274	0.726	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.268	0.732	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.261	0.739	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.258	0.742	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.256	0.744	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.255	0.745	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.252	0.748	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.250	0.750	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.246	0.754	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.226	0.773	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.222	0.778	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.219	0.781	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.217	0.783	0.000
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.211	0.789	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.206	0.794	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.203	0.797	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.194	0.806	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.192	0.808	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.192	0.808	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.190	0.810	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.814	0.185
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.181	0.819	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.180	0.820	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.177	0.823	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.174	0.826	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.167	0.833	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.165	0.835	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.159	0.841	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.157	0.843	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.153	0.847	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.150	0.850	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.149	0.851	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.146	0.854	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.132	0.868	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.127	0.872	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.127	0.873	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.127	0.873	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.125	0.875	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.123	0.877	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.114	0.886	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.112	0.888	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.110	0.890	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.108	0.892	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.105	0.895	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.097	0.903	0.000
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.097	0.903	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.081	0.919	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.069	0.930	0.001
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.067	0.933	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.066	0.934	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.065	0.935	0.000
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.063	0.937	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.060	0.940	0.000
rs341075 lBF = `0.1134` Chr`11` : `72,257,963`	0.057	0.943	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.056	0.944	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.055	0.945	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.054	0.946	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.054	0.946	0.001
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.054	0.946	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.054	0.946	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.051	0.949	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.050	0.950	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.048	0.952	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.046	0.953	0.001
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.046	0.954	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.043	0.957	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.042	0.957	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.041	0.959	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.040	0.960	0.001
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.039	0.961	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.037	0.963	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.035	0.965	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.034	0.966	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.033	0.967	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.032	0.968	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.032	0.968	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.031	0.969	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.029	0.970	0.001
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.027	0.973	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.026	0.974	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.025	0.975	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.024	0.976	0.000
rs7948661 lBF = `0.0354698` Chr`11` : `118,341,649`	0.024	0.976	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.022	0.976	0.002
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.023	0.977	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.023	0.977	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.022	0.978	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.021	0.978	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.020	0.979	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.019	0.980	0.001
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.019	0.981	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.019	0.981	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.019	0.981	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.017	0.983	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.015	0.984	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.015	0.985	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.015	0.985	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.014	0.986	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.012	0.988	0.000
rs17098961 lBF = `0.10586` Chr`11` : `102,480,390`	0.000	0.988	0.012
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.012	0.988	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.012	0.988	0.000
rs35897606 lBF = `0.0552943` Chr`11` : `33,457,857`	0.000	0.989	0.011
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.011	0.989	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.010	0.989	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.010	0.990	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.008	0.990	0.002
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.009	0.990	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.009	0.991	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.009	0.991	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.009	0.991	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.006	0.991	0.003
rs66714249 lBF = `0.0490168` Chr`11` : `7,400,566`	0.009	0.991	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.009	0.991	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.008	0.992	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.008	0.992	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.008	0.992	0.000
rs600626 lBF = `-0.0275846` Chr`11` : `75,455,309`	0.000	0.993	0.007
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.007	0.993	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.006	0.993	0.000
rs499974 lBF = `-0.0226944` Chr`11` : `75,455,021`	0.000	0.993	0.007
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.006	0.994	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.006	0.994	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.006	0.994	0.000
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.003	0.994	0.003
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.005	0.995	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.005	0.995	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.005	0.995	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.005	0.995	0.000
rs118086209 lBF = `0.0118578` Chr`11` : `86,104,495`	0.005	0.995	0.000
rs61902539 lBF = `0.0126933` Chr`11` : `113,113,152`	0.005	0.995	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.004	0.996	0.000
rs16924133 lBF = `0.0269604` Chr`11` : `33,325,376`	0.004	0.996	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.004	0.996	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.004	0.996	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.004	0.996	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.004	0.996	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.004	0.996	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.004	0.996	0.000
rs192772225 lBF = `0.00472722` Chr`11` : `84,048,202`	0.003	0.996	0.000
rs189780858 lBF = `0.113446` Chr`11` : `83,917,146`	0.003	0.997	0.000
rs659722 lBF = `0.900267` Chr`11` : `106,586,473`	0.003	0.997	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.003	0.997	0.000
rs7120391 lBF = `0.00328259` Chr`11` : `5,230,907`	0.003	0.997	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.003	0.997	0.000
rs2521572 lBF = `0.392798` Chr`11` : `61,711,475`	0.003	0.997	0.000
rs149502810 lBF = `0.00313446` Chr`11` : `36,286,830`	0.003	0.997	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.003	0.997	0.000
rs1474107 lBF = `0.00057069` Chr`11` : `36,790,685`	0.003	0.997	0.000
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rs11041530 lBF = `0.00760206` Chr`11` : `7,701,503`	0.000	1.000	0.000
rs76239813 lBF = `-0.00589824` Chr`11` : `124,909,582`	0.000	1.000	0.000
rs4938174 lBF = `0.154066` Chr`11` : `110,913,240`	0.000	1.000	0.000
rs2785173 lBF = `0.00382064` Chr`11` : `35,155,732`	0.000	1.000	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.000	1.000	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.000	1.000	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.000	1.000	0.000
rs878830 lBF = `0.057807` Chr`11` : `126,310,082`	0.000	1.000	0.000
rs992564 lBF = `-0.00362761` Chr`11` : `131,336,074`	0.000	1.000	0.000
rs878860 lBF = `-0.0876091` Chr`11` : `7,968,359`	0.000	1.000	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.000	1.000	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.000	1.000	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.000	1.000	0.000
rs17368814 lBF = `2.93354` Chr`11` : `102,748,695`	0.000	1.000	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.000	1.000	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.000	1.000	0.000
rs3135506 lBF = `8.9619` Chr`11` : `116,662,407`	0.000	1.000	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.000	1.000	0.000
rs17368659 lBF = `3.2217` Chr`11` : `102,742,761`	0.000	1.000	0.000
rs1350445 lBF = `-0.0289839` Chr`11` : `91,952,154`	0.000	1.000	0.000
rs12296050 lBF = `-0.0672472` Chr`11` : `2,489,342`	0.000	1.000	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.000	1.000	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.000	1.000	0.000
rs2005108 lBF = `1.55637` Chr`11` : `102,770,353`	0.000	1.000	0.000
rs17147674 lBF = `0.460285` Chr`11` : `84,589,922`	0.000	1.000	0.000
rs2018368 lBF = `0.124312` Chr`11` : `10,740,366`	0.000	1.000	0.000
rs2126709 lBF = `0.0684612` Chr`11` : `123,595,927`	0.000	1.000	0.000
rs190169131 lBF = `0.00742957` Chr`11` : `127,268,602`	0.000	1.000	0.000
rs17807909 lBF = `-0.00004601` Chr`11` : `84,335,666`	0.000	1.000	0.000
rs4529888 lBF = `-0.0444709` Chr`11` : `127,081,591`	0.000	1.000	0.000
rs1939012 lBF = `-0.0885376` Chr`11` : `102,595,135`	0.000	1.000	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.000	1.000	0.000
rs140839642 lBF = `3.78516` Chr`11` : `102,728,812`	0.000	1.000	0.000
rs2276109 lBF = `2.87352` Chr`11` : `102,745,791`	0.000	1.000	0.000
rs74360883 lBF = `1.78422` Chr`11` : `45,550,753`	0.000	1.000	0.000
rs117983694 lBF = `0.079172` Chr`11` : `85,396,880`	0.000	1.000	0.000
rs7122937 lBF = `-0.0647954` Chr`11` : `2,486,550`	0.000	1.000	0.000
rs35120633 lBF = `8.18477` Chr`11` : `116,655,600`	0.000	1.000	0.000
rs17361668 lBF = `3.61942` Chr`11` : `102,720,344`	0.000	1.000	0.000
rs11825709 lBF = `-0.00448214` Chr`11` : `93,704,049`	0.000	1.000	0.000
rs67385638 lBF = `-0.0255119` Chr`11` : `5,290,370`	0.000	1.000	0.000
rs16928297 lBF = `-0.0686346` Chr`11` : `2,486,120`	0.000	1.000	0.000
rs1126809 lBF = `23.204` Chr`11` : `89,017,961`	0.000	1.000	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.000	1.000	0.000
rs114176245 lBF = `3.47129` Chr`11` : `102,719,534`	0.000	1.000	0.000
rs7124972 lBF = `0.228288` Chr`11` : `81,002,799`	0.000	1.000	0.000
rs11223581 lBF = `-0.017143` Chr`11` : `100,173,537`	0.000	1.000	0.000
rs12797755 lBF = `-0.0206507` Chr`11` : `120,809,460`	0.000	1.000	0.000
rs1079467 lBF = `-0.0317969` Chr`11` : `7,969,711`	0.000	1.000	0.000
rs1806319 lBF = `10.4316` Chr`11` : `89,037,936`	0.000	1.000	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.000	1.000	0.000
rs28927680 lBF = `7.57541` Chr`11` : `116,619,073`	0.000	1.000	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.000	1.000	0.000
rs10892562 lBF = `5.29003` Chr`11` : `120,221,618`	0.000	1.000	0.000
rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.000	1.000	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.000	1.000	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.000	1.000	0.000
rs72983508 lBF = `3.47867` Chr`11` : `102,727,409`	0.000	1.000	0.000
rs737693 lBF = `3.47867` Chr`11` : `102,726,142`	0.000	1.000	0.000
rs680753 lBF = `3.47044` Chr`11` : `102,711,581`	0.000	1.000	0.000
rs72981698 lBF = `3.46896` Chr`11` : `102,726,540`	0.000	1.000	0.000
rs72983513 lBF = `3.46329` Chr`11` : `102,728,985`	0.000	1.000	0.000
rs476762 lBF = `3.26344` Chr`11` : `102,710,707`	0.000	1.000	0.000
rs494963 lBF = `2.30768` Chr`11` : `102,715,826`	0.000	1.000	0.000
rs10832417 lBF = `0.111644` Chr`11` : `2,652,657`	0.000	1.000	0.000
rs78015633 lBF = `-0.0203305` Chr`11` : `40,876,586`	0.000	1.000	0.000
rs559389 lBF = `-0.102381` Chr`11` : `71,872,777`	0.000	1.000	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.000	1.000	0.000
rs28381684 lBF = `3.482` Chr`11` : `102,737,192`	0.000	1.000	0.000
rs566125 lBF = `3.22901` Chr`11` : `102,710,471`	0.000	1.000	0.000
rs563096 lBF = `2.966` Chr`11` : `102,707,366`	0.000	1.000	0.000
rs605949 lBF = `2.966` Chr`11` : `102,705,747`	0.000	1.000	0.000
rs569444 lBF = `2.966` Chr`11` : `102,707,305`	0.000	1.000	0.000
rs593698 lBF = `2.96088` Chr`11` : `102,704,476`	0.000	1.000	0.000
rs646910 lBF = `2.95877` Chr`11` : `102,709,522`	0.000	1.000	0.000
rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.000	1.000	0.000
rs906628 lBF = `0.99732` Chr`11` : `134,738,270`	0.000	1.000	0.000
rs17133858 lBF = `0.281418` Chr`11` : `74,971,557`	0.000	1.000	0.000
rs682457 lBF = `0.147637` Chr`11` : `87,949,532`	0.000	1.000	0.000
rs11825064 lBF = `0.104549` Chr`11` : `134,477,854`	0.000	1.000	0.000
rs141218484 lBF = `0.0266478` Chr`11` : `62,248,663`	0.000	1.000	0.000
rs518167 lBF = `0.0126559` Chr`11` : `88,668,140`	0.000	1.000	0.000
rs4611189 lBF = `-0.00435884` Chr`11` : `40,837,713`	0.000	1.000	0.000
rs16910421 lBF = `-0.0147157` Chr`11` : `12,070,665`	0.000	1.000	0.000
rs1912702 lBF = `-0.106664` Chr`11` : `79,173,082`	0.000	1.000	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.000	1.000	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.000	1.000	0.000
rs11228565 lBF = `5.66683` Chr`11` : `68,978,580`	0.000	1.000	0.000
rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.000	1.000	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.000	1.000	0.000
rs7394570 lBF = `0.141518` Chr`11` : `42,315,886`	0.000	1.000	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.000	1.000	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.000	1.000	0.000
rs10790383 lBF = `6.82278` Chr`11` : `120,344,526`	0.000	1.000	0.000
rs7115714 lBF = `5.27077` Chr`11` : `120,294,861`	0.000	1.000	0.000
rs10892279 lBF = `4.0643` Chr`11` : `118,611,781`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3611

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

1.0000

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

1.0000

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9998

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9952

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9940

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9934

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9924

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9848

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9835

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9755

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9725

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9664

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9630

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9526

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9504

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9468

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9374

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9243

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8965

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8887

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8665

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8387

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8269

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8136

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7847

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7442

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7396

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7357

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7051

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7032

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6404

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5826

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5820

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5653

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5446

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5410

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5364

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4594

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4460

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4162

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4006

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3804

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3804

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3648

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3615

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3472

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3366

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3166

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3004

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3001

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2673

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2617

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2369

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2287

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2180

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1964

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1927

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1830

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1824

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1641

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1580

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1451

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1387

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1326

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1279

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1166

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1143

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1068

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1056

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1055

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1054

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1028

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1026

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0997

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0925

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0903

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0834

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0827

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0824

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0817

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0817

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0800

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0752

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0718

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0671

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0659

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0584

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0572

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0559

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0556

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0555

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0549

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0542

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0541

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0540

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0526

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0507

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`)