TreeWAS – [K51.5] Mucosal proctocolitis

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
rs4409764 lBF = `6.83681` Chr`10` : `101,284,237`	0.977	0.023	0.000
rs11190140 lBF = `6.23731` Chr`10` : `101,291,593`	0.974	0.026	0.000
rs10883365 lBF = `5.92769` Chr`10` : `101,287,764`	0.974	0.026	0.000
rs6584283 lBF = `4.90848` Chr`10` : `101,290,301`	0.000	0.038	0.962
rs1332099 lBF = `4.12255` Chr`10` : `101,298,451`	0.000	0.042	0.958
rs12412391 lBF = `1.82555` Chr`10` : `101,288,935`	0.000	0.045	0.955
rs7078219 lBF = `3.63934` Chr`10` : `101,274,365`	0.000	0.076	0.924
rs10748781 lBF = `6.53438` Chr`10` : `101,283,330`	0.000	0.081	0.919
rs11190134 lBF = `3.4476` Chr`10` : `101,282,200`	0.000	0.086	0.914
rs11190141 lBF = `3.32864` Chr`10` : `101,292,390`	0.000	0.099	0.901
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.154	0.846
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.156	0.844
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.173	0.827
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.197	0.802
rs7076156 lBF = `5.97701` Chr`10` : `64,415,184`	0.000	0.221	0.779
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.752	0.248	0.000
rs10995251 lBF = `3.21546` Chr`10` : `64,398,466`	0.722	0.278	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.686	0.314	0.000
rs10822050 lBF = `3.7961` Chr`10` : `64,438,771`	0.657	0.343	0.000
rs10995271 lBF = `3.80836` Chr`10` : `64,438,486`	0.657	0.343	0.000
rs2274351 lBF = `1.33227` Chr`10` : `104,264,107`	0.648	0.352	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.641	0.359	0.000
rs3740415 lBF = `0.868265` Chr`10` : `104,232,716`	0.634	0.366	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.619	0.380	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.618	0.382	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.610	0.389	0.000
rs10761659 lBF = `11.0248` Chr`10` : `64,445,564`	0.000	0.404	0.596
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.593	0.407	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.590	0.410	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.584	0.416	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.572	0.428	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.571	0.429	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.562	0.437	0.000
rs4256922 lBF = `3.57723` Chr`10` : `52,568,616`	0.000	0.442	0.558
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.555	0.445	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.522	0.478	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.521	0.479	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.508	0.492	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.497	0.503	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.492	0.508	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.491	0.509	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.474	0.526	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.465	0.535	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.458	0.542	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.457	0.543	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.453	0.547	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.451	0.548	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.448	0.551	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.446	0.554	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.442	0.558	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.428	0.572	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.423	0.577	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.411	0.589	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.399	0.601	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.392	0.607	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.381	0.619	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.377	0.623	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.370	0.630	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.365	0.634	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.363	0.637	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.352	0.648	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.350	0.650	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.348	0.651	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.338	0.662	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.328	0.672	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.327	0.673	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.327	0.673	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.327	0.673	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.327	0.673	0.000
rs17112190 lBF = `0.173449` Chr`10` : `98,639,846`	0.327	0.673	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.321	0.679	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.320	0.679	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.316	0.684	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.316	0.684	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.306	0.694	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.305	0.695	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.294	0.706	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.293	0.707	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.290	0.710	0.000
rs17582416 lBF = `0.794082` Chr`10` : `35,287,650`	0.288	0.712	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.286	0.714	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.284	0.716	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.276	0.724	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.275	0.724	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.274	0.726	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.272	0.728	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.271	0.728	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.271	0.729	0.000
rs34779708 lBF = `0.829891` Chr`10` : `35,466,185`	0.267	0.733	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.265	0.735	0.000
rs11010067 lBF = `0.829909` Chr`10` : `35,295,431`	0.256	0.744	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.250	0.749	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.249	0.751	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.248	0.752	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.237	0.763	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.235	0.765	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.232	0.767	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.231	0.769	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.228	0.772	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.223	0.777	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.223	0.777	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.220	0.780	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.214	0.786	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.213	0.787	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.208	0.791	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.208	0.792	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.195	0.805	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.194	0.805	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.187	0.812	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.186	0.814	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.178	0.822	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.175	0.825	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.174	0.826	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.170	0.830	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.166	0.834	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.161	0.839	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.158	0.842	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.155	0.845	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.150	0.850	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.142	0.858	0.000
rs873946 lBF = `0.0687975` Chr`10` : `134,529,972`	0.142	0.858	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.141	0.858	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.141	0.859	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.139	0.861	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.131	0.869	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.879	0.120
rs2068888 lBF = `0.0518042` Chr`10` : `94,839,642`	0.109	0.891	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.103	0.897	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.098	0.902	0.001
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.096	0.903	0.001
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.093	0.907	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.090	0.910	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.089	0.911	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.088	0.911	0.001
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.088	0.912	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.085	0.915	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.084	0.915	0.001
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.078	0.922	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.077	0.923	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.073	0.926	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.070	0.929	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.070	0.930	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.061	0.938	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.060	0.939	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.059	0.941	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.055	0.945	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.055	0.945	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.053	0.946	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.948	0.052
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.051	0.949	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.047	0.953	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.045	0.955	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.042	0.956	0.002
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.043	0.956	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.041	0.959	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.040	0.959	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.040	0.959	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.039	0.961	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.038	0.962	0.000
rs2790216 lBF = `-0.0414774` Chr`10` : `59,997,926`	0.000	0.963	0.037
rs11203032 lBF = `0.0114789` Chr`10` : `90,964,614`	0.000	0.963	0.037
rs1095368 lBF = `-0.014059` Chr`10` : `13,355,131`	0.033	0.967	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.031	0.969	0.000
rs61862032 lBF = `0.0455064` Chr`10` : `124,887,125`	0.000	0.969	0.031
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.030	0.969	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.030	0.969	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.029	0.971	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.029	0.971	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.028	0.972	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.027	0.973	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.027	0.973	0.000
rs1747683 lBF = `-0.0378373` Chr`10` : `13,361,976`	0.027	0.973	0.000
rs2153283 lBF = `-0.0489038` Chr`10` : `59,972,299`	0.000	0.974	0.026
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.025	0.974	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.007	0.975	0.017
rs10508264 lBF = `0.0495902` Chr`10` : `3,804,257`	0.025	0.975	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.024	0.976	0.000
rs1199103 lBF = `-0.0521979` Chr`10` : `59,947,231`	0.000	0.977	0.023
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.022	0.978	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.021	0.978	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.021	0.979	0.000
rs1867982 lBF = `0.0390481` Chr`10` : `73,527,047`	0.000	0.979	0.021
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.021	0.979	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.019	0.981	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.018	0.981	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.018	0.982	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.017	0.982	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.017	0.983	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.017	0.983	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.016	0.983	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.016	0.983	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.016	0.984	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.015	0.985	0.000
rs588517 lBF = `0.0681529` Chr`10` : `83,153,246`	0.000	0.985	0.015
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.012	0.985	0.003
rs10508459 lBF = `0.0366739` Chr`10` : `13,363,046`	0.000	0.985	0.015
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.014	0.986	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.014	0.986	0.000
rs10508727 lBF = `-0.0402457` Chr`10` : `28,025,771`	0.013	0.986	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.013	0.987	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.001	0.987	0.012
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rs7072776 lBF = `0` Chr`10` : `22,032,942`	0.001	0.999	0.001
rs188724679 lBF = `0` Chr`10` : `135,224,855`	0.001	0.999	0.001
rs78627331 lBF = `0` Chr`10` : `94,812,254`	0.001	0.999	0.001
rs12263766 lBF = `0` Chr`10` : `9,996,990`	0.001	0.999	0.001
rs184737911 lBF = `0` Chr`10` : `88,431,292`	0.001	0.999	0.001
rs76850691 lBF = `0` Chr`10` : `101,157,438`	0.001	0.999	0.001
rs4750829 lBF = `0` Chr`10` : `132,547,261`	0.001	0.999	0.001
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs182554582 lBF = `0` Chr`10` : `88,194,959`	0.001	0.999	0.001
rs142973438 lBF = `0` Chr`10` : `95,315,999`	0.001	0.999	0.001
rs190671939 lBF = `0` Chr`10` : `134,909,987`	0.001	0.999	0.001
rs17783561 lBF = `0.00190076` Chr`10` : `110,971,435`	0.001	0.999	0.000
rs181778161 lBF = `-0.00000964` Chr`10` : `91,691,500`	0.000	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs10508343 lBF = `-0.00003164` Chr`10` : `8,150,713`	0.000	0.999	0.001
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs2223089 lBF = `0.0421288` Chr`10` : `124,210,160`	0.001	0.999	0.000
rs2104286 lBF = `0.0292395` Chr`10` : `6,099,045`	0.000	0.999	0.001
rs10906233 lBF = `0.0196802` Chr`10` : `12,875,208`	0.001	0.999	0.000
rs61458523 lBF = `0.00046382` Chr`10` : `60,668,571`	0.001	0.999	0.000
rs10763642 lBF = `-0.0522657` Chr`10` : `28,388,150`	0.001	0.999	0.000
rs7916852 lBF = `-0.0541427` Chr`10` : `28,405,411`	0.001	0.999	0.000
rs7085433 lBF = `0.537413` Chr`10` : `51,593,354`	0.000	0.999	0.001
rs12261331 lBF = `0.0791688` Chr`10` : `82,287,527`	0.000	0.999	0.001
rs224136 lBF = `-0.0397904` Chr`10` : `64,470,675`	0.000	0.999	0.001
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.001	0.999	0.000
rs2675669 lBF = `1.78655` Chr`10` : `75,653,872`	0.001	0.999	0.000
rs7092929 lBF = `0.0532547` Chr`10` : `3,538,794`	0.000	0.999	0.001
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.001	0.999	0.000
rs6560743 lBF = `-0.0518239` Chr`10` : `1,637,136`	0.001	0.999	0.000
rs10764775 lBF = `0.0593899` Chr`10` : `130,233,808`	0.001	0.999	0.000
rs79538733 lBF = `-0.0165118` Chr`10` : `71,500,897`	0.001	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.001	0.999	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.001	0.999	0.000
rs138071473 lBF = `0.00077146` Chr`10` : `13,673,528`	0.000	0.999	0.000
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.000	0.999	0.000
rs2043090 lBF = `-0.0547862` Chr`10` : `77,298,609`	0.001	0.999	0.000
rs751008 lBF = `-0.126134` Chr`10` : `129,142,417`	0.000	0.999	0.001
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.000	0.999	0.001
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.001	0.999	0.000
rs12360000 lBF = `0.453992` Chr`10` : `1,897,978`	0.001	0.999	0.000
rs7100689 lBF = `0.0440984` Chr`10` : `82,222,178`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.001
rs1471384 lBF = `-0.0791559` Chr`10` : `67,964,373`	0.000	0.999	0.001
rs58616815 lBF = `-0.0619641` Chr`10` : `92,152,200`	0.000	0.999	0.001
rs4631830 lBF = `17.0383` Chr`10` : `51,543,344`	0.000	0.999	0.001
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.001
rs1359582 lBF = `0.071932` Chr`10` : `90,330,483`	0.000	0.999	0.001
rs2370759 lBF = `0.0251521` Chr`10` : `32,634,972`	0.000	0.999	0.001
rs190780914 lBF = `0.0153555` Chr`10` : `84,949,895`	0.000	0.999	0.000
rs3814219 lBF = `0.00811527` Chr`10` : `105,647,095`	0.000	0.999	0.001
rs1250540 lBF = `-0.0409655` Chr`10` : `81,036,007`	0.000	0.999	0.001
rs791888 lBF = `-0.0589454` Chr`10` : `89,412,575`	0.000	0.999	0.001
rs7902871 lBF = `-0.0686261` Chr`10` : `98,809,703`	0.000	0.999	0.001
rs11191865 lBF = `1.95702` Chr`10` : `105,672,842`	0.000	0.999	0.001
rs117582141 lBF = `-0.0212654` Chr`10` : `94,564,611`	0.001	0.999	0.000
rs17406680 lBF = `8.04849` Chr`10` : `9,208,204`	0.001	0.999	0.000
rs2814021 lBF = `3.26609` Chr`10` : `63,361,987`	0.001	0.999	0.000
rs477692 lBF = `0.178769` Chr`10` : `131,426,022`	0.000	0.999	0.001
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.001	0.999	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.000	0.999	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.001	0.999	0.000
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.000	0.999	0.000
rs2165468 lBF = `0.00835869` Chr`10` : `3,516,105`	0.001	0.999	0.000
rs2484873 lBF = `0.00747886` Chr`10` : `24,634,956`	0.000	0.999	0.001
rs75984653 lBF = `0.211922` Chr`10` : `24,357,791`	0.001	0.999	0.000
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.001	0.999	0.000
rs640090 lBF = `0.0279972` Chr`10` : `95,392,585`	0.000	0.999	0.001
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs4919694 lBF = `-0.0314563` Chr`10` : `104,698,978`	0.001	0.999	0.000
rs2047009 lBF = `10.3414` Chr`10` : `44,539,913`	0.001	0.999	0.000
rs7917983 lBF = `9.97164` Chr`10` : `114,732,882`	0.000	0.999	0.001
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.000	0.999	0.000
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.001	0.999	0.000
rs11006747 lBF = `-0.0788694` Chr`10` : `28,150,935`	0.000	0.999	0.001
rs2648708 lBF = `0.473614` Chr`10` : `12,601,439`	0.001	0.999	0.000
rs2462021 lBF = `0.0261368` Chr`10` : `30,490,704`	0.001	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	0.999	0.001
rs11006263 lBF = `0.011997` Chr`10` : `60,555,578`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.000	0.999	0.000
rs7094131 lBF = `-0.0649277` Chr`10` : `22,847,439`	0.000	0.999	0.001
rs11245052 lBF = `-0.0657013` Chr`10` : `128,267,640`	0.000	0.999	0.001
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.001	0.999	0.000
rs10510102 lBF = `0.0257227` Chr`10` : `123,625,190`	0.000	0.999	0.001
rs4387258 lBF = `0.0101686` Chr`10` : `29,487,365`	0.000	0.999	0.001
rs1391511 lBF = `-0.0315357` Chr`10` : `4,719,796`	0.000	0.999	0.001
rs2070677 lBF = `-0.038347` Chr`10` : `135,351,174`	0.000	0.999	0.001
rs2070676 lBF = `-0.0388763` Chr`10` : `135,351,137`	0.000	0.999	0.001
rs11017221 lBF = `-0.0459045` Chr`10` : `132,168,065`	0.000	0.999	0.001
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.000	0.999	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.000	0.999	0.000
rs913423 lBF = `0.58204` Chr`10` : `94,845,036`	0.001	0.999	0.000
rs11006253 lBF = `0.320983` Chr`10` : `60,519,448`	0.000	0.999	0.001
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.001	0.999	0.000
rs7916968 lBF = `-0.0278577` Chr`10` : `759,268`	0.001	0.999	0.000
rs17267338 lBF = `-0.0360097` Chr`10` : `114,388,272`	0.001	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 X0023

log Bayes Factor = 129.003

contains 9 variants

0.9943

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.6350

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5240

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.2088

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.9945

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9374

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9285

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9213

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.9207

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9195

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9115

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9057

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9038

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9023

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8964

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8851

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8831

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8790

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8749

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8739

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8733

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8654

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8649

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8545

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8517

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8436

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8325

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8324

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8209

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8200

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8102

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7997

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7916

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7851

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7845

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7844

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7774

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7774

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7647

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7637

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7611

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7560

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7492

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7388

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7333

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7167

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7164

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7160

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7157

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7120

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7101

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7068

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7034

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6978

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6931

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6930

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6900

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6884

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6777

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6729

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6713

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6692

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6665

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6558

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6519

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6450

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6421

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6403

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6356

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6275

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6218

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6119

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5965

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5943

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5733

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5381

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5341

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5306

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5158

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5071

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4820

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4781

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4767

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4645

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4550

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4475

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4292

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4200

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3765

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3701

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3687

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3034

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2935

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2699

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2686

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2651

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2628

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2612

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2359

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2306

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2154

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2031

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1992

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1987

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1906

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1476

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1467

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1379

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1311

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1274

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1132

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1049

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1041

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1023

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0931

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0883

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0838

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0720

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0718

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0664

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0644

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0635

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0625

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0587

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0545

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0541

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0516

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`)