TreeWAS – [K65.8] Other peritonitis

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
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.760	0.240	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.286	0.714
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.318	0.682
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.319	0.681
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.681	0.319	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.332	0.668
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.630	0.370	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.614	0.386	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.606	0.394	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.550	0.450	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.539	0.460	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.530	0.470	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.526	0.474	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.511	0.489	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.507	0.493	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.496	0.504	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.495	0.505	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.474	0.526	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.472	0.528	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.449	0.551	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.448	0.552	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.439	0.560	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.438	0.561	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.435	0.565	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.432	0.568	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.425	0.575	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.424	0.576	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.422	0.578	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.419	0.581	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.417	0.583	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.414	0.586	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.403	0.596	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.401	0.599	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.397	0.603	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.392	0.608	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.392	0.608	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.390	0.610	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.389	0.611	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.389	0.611	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.380	0.620	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.378	0.622	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.375	0.624	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.375	0.625	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.373	0.627	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.371	0.629	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.363	0.636	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.360	0.639	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.360	0.640	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.355	0.644	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.353	0.647	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.352	0.648	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.351	0.649	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.350	0.650	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.349	0.651	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.348	0.652	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.347	0.652	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.347	0.653	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.339	0.661	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.339	0.661	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.336	0.664	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.335	0.664	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.334	0.666	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.331	0.669	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.326	0.673	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.322	0.677	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.322	0.678	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.321	0.679	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.320	0.679	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.319	0.681	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.317	0.683	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.314	0.686	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.312	0.687	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.311	0.689	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.304	0.696	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.304	0.696	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.298	0.702	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.296	0.703	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.296	0.704	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.296	0.704	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.292	0.707	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.290	0.709	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.290	0.710	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.282	0.718	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.282	0.718	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.281	0.719	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.275	0.724	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.268	0.732	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.254	0.746	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.247	0.752	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.246	0.754	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.245	0.755	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.236	0.764	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.235	0.764	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.231	0.768	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.229	0.771	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.228	0.772	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.225	0.775	0.001
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.222	0.778	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.216	0.784	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.212	0.788	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.200	0.800	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.195	0.805	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.187	0.812	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.183	0.817	0.001
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.180	0.820	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.174	0.826	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.174	0.826	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.170	0.830	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.168	0.831	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.167	0.833	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.162	0.838	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.160	0.840	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.154	0.845	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.139	0.861	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.137	0.863	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.863	0.136
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.129	0.871	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.118	0.882	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.109	0.891	0.001
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.103	0.897	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.099	0.900	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.096	0.904	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.094	0.905	0.001
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.087	0.913	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.084	0.915	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.082	0.918	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.080	0.920	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.076	0.923	0.001
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.075	0.925	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.067	0.932	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.066	0.933	0.001
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.064	0.936	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.063	0.936	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.062	0.938	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.061	0.938	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.062	0.938	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.061	0.939	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.061	0.939	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.059	0.940	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.056	0.944	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.053	0.947	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.053	0.947	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.052	0.948	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.052	0.948	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.051	0.949	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.049	0.951	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.047	0.953	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.046	0.953	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.044	0.956	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.043	0.957	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.957	0.043
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.040	0.960	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.030	0.970	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.030	0.970	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.030	0.970	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.028	0.972	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.026	0.974	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.023	0.976	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.023	0.977	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.023	0.977	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.021	0.979	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.021	0.979	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.020	0.979	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.020	0.979	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.020	0.980	0.000
rs7076247 lBF = `-0.0823759` Chr`10` : `18,759,629`	0.019	0.981	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.016	0.984	0.000
rs2184898 lBF = `-0.110471` Chr`10` : `119,418,104`	0.016	0.984	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.014	0.985	0.001
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.015	0.985	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.014	0.985	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.013	0.986	0.001
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.012	0.987	0.001
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.012	0.987	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.012	0.987	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.012	0.988	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.012	0.988	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.012	0.988	0.000
rs9804200 lBF = `0.31788` Chr`10` : `131,673,986`	0.000	0.988	0.012
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.011	0.989	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.010	0.990	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.010	0.990	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.009	0.990	0.000
rs4586057 lBF = `-0.0127415` Chr`10` : `92,632,899`	0.010	0.990	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.009	0.991	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.008	0.992	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.992	0.008
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.007	0.993	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.007	0.993	0.000
rs12780046 lBF = `1.06285` Chr`10` : `100,856,453`	0.000	0.993	0.007
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.005	0.993	0.002
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.007	0.993	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.007	0.993	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.006	0.994	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.006	0.994	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.994	0.005
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.994	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.005	0.995	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.005	0.995	0.000
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rs2070676 lBF = `-0.0388763` Chr`10` : `135,351,137`	0.000	0.999	0.001
rs11016883 lBF = `-0.0415844` Chr`10` : `131,500,940`	0.000	0.999	0.001
rs1278329 lBF = `-0.0660554` Chr`10` : `127,823,151`	0.001	0.999	0.000
rs1412115 lBF = `-0.0884655` Chr`10` : `34,088,053`	0.000	0.999	0.001
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.001
rs1712517 lBF = `-0.0308084` Chr`10` : `105,033,015`	0.000	0.999	0.001
rs2255141 lBF = `0.082114` Chr`10` : `113,933,886`	0.000	0.999	0.001
rs138071473 lBF = `0.00077146` Chr`10` : `13,673,528`	0.000	0.999	0.000
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs1398024 lBF = `-0.0490306` Chr`10` : `23,665,438`	0.000	0.999	0.001
rs17731 lBF = `-0.0670186` Chr`10` : `3,821,561`	0.000	0.999	0.001
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.001	0.999	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.001	0.999	0.000
rs2675662 lBF = `0.639478` Chr`10` : `75,599,127`	0.000	0.999	0.001
rs11188352 lBF = `0.055683` Chr`10` : `97,301,004`	0.001	0.999	0.000
rs190780914 lBF = `0.0153555` Chr`10` : `84,949,895`	0.000	0.999	0.000
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.001	0.999	0.000
rs7099380 lBF = `-0.0104683` Chr`10` : `18,549,016`	0.000	0.999	0.001
rs11596483 lBF = `-0.0161502` Chr`10` : `124,037,599`	0.001	0.999	0.000
rs56322409 lBF = `-0.0213827` Chr`10` : `97,395,962`	0.001	0.999	0.000
rs2069036 lBF = `-0.0647022` Chr`10` : `16,116,747`	0.000	0.999	0.001
rs10508264 lBF = `0.0495902` Chr`10` : `3,804,257`	0.001	0.999	0.000
rs603424 lBF = `0.0330796` Chr`10` : `102,075,479`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.001
rs10906824 lBF = `-0.00668787` Chr`10` : `15,128,969`	0.001	0.999	0.000
rs12570947 lBF = `-0.0138211` Chr`10` : `109,569,850`	0.001	0.999	0.000
rs1649081 lBF = `-0.0327497` Chr`10` : `60,292,444`	0.001	0.999	0.000
rs12245680 lBF = `5.20143` Chr`10` : `114,820,191`	0.000	0.999	0.001
rs76934034 lBF = `-0.0359314` Chr`10` : `46,082,985`	0.001	0.999	0.000
rs1658442 lBF = `-0.0374653` Chr`10` : `60,318,897`	0.001	0.999	0.000
rs4536103 lBF = `-0.0915006` Chr`10` : `71,332,204`	0.000	0.999	0.001
rs11592657 lBF = `-0.0049497` Chr`10` : `128,790,443`	0.000	0.999	0.001
rs75768999 lBF = `-0.100724` Chr`10` : `61,690,195`	0.000	0.999	0.001
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.000	0.999	0.001
rs45631630 lBF = `6.07045` Chr`10` : `123,340,824`	0.001	0.999	0.000
rs7072122 lBF = `1.45378` Chr`10` : `45,034,672`	0.001	0.999	0.000
rs17601696 lBF = `0.263335` Chr`10` : `123,120,036`	0.000	0.999	0.001
rs77329626 lBF = `-0.0147371` Chr`10` : `61,664,195`	0.001	0.999	0.000
rs7899101 lBF = `-0.0251772` Chr`10` : `5,608,202`	0.000	0.999	0.001
rs703974 lBF = `10.1529` Chr`10` : `80,948,593`	0.000	0.999	0.001
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.001	0.999	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.001	0.999	0.000
rs10786436 lBF = `0.0460682` Chr`10` : `100,300,182`	0.001	0.999	0.000
rs2462021 lBF = `0.0261368` Chr`10` : `30,490,704`	0.000	0.999	0.001
rs117063229 lBF = `0.00192729` Chr`10` : `28,755,262`	0.000	0.999	0.001
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs1248993 lBF = `-0.0100076` Chr`10` : `29,027,223`	0.000	0.999	0.001
rs9787485 lBF = `-0.0790288` Chr`10` : `83,566,686`	0.000	0.999	0.001
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.000	0.999	0.001
rs703980 lBF = `9.6184` Chr`10` : `80,943,841`	0.000	0.999	0.001
rs7894407 lBF = `0.0168226` Chr`10` : `105,176,179`	0.001	0.999	0.000
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs4553261 lBF = `-0.0268938` Chr`10` : `71,375,789`	0.000	0.999	0.001
rs1541010 lBF = `-0.0483994` Chr`10` : `13,755,544`	0.000	0.999	0.001
rs7098785 lBF = `-0.0946047` Chr`10` : `98,417,930`	0.001	0.999	0.000
rs12413624 lBF = `-0.117163` Chr`10` : `120,278,944`	0.000	0.999	0.001
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.000	0.999	0.000
rs442309 lBF = `0.011958` Chr`10` : `64,490,495`	0.000	0.999	0.001
rs2249694 lBF = `-0.0007538` Chr`10` : `135,352,153`	0.000	0.999	0.001
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.000	0.999	0.000
rs7084402 lBF = `-0.063063` Chr`10` : `60,265,404`	0.000	0.999	0.001
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.000	0.999	0.000
rs4590817 lBF = `14.5106` Chr`10` : `63,467,553`	0.001	0.999	0.000
rs1149911 lBF = `5.55594` Chr`10` : `9,068,164`	0.001	0.999	0.000
rs11001819 lBF = `0.279054` Chr`10` : `78,315,224`	0.001	0.999	0.000
rs898549 lBF = `0.184157` Chr`10` : `44,458,714`	0.001	0.999	0.000
rs17600642 lBF = `0.00311335` Chr`10` : `72,462,994`	0.000	0.999	0.001
rs10741210 lBF = `-0.0568954` Chr`10` : `131,984,312`	0.000	0.999	0.001
rs10510110 lBF = `3.34961` Chr`10` : `124,192,430`	0.000	0.999	0.001
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.001	0.999	0.000
rs2478118 lBF = `0.500411` Chr`10` : `13,650,032`	0.001	0.999	0.000
rs2185570 lBF = `0.0165127` Chr`10` : `96,751,270`	0.001	0.999	0.000
rs12571093 lBF = `-0.0607186` Chr`10` : `70,019,371`	0.000	0.999	0.001
rs10762738 lBF = `-0.0641143` Chr`10` : `78,695,467`	0.000	0.999	0.001
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.000	0.999	0.000
rs66696671 lBF = `0.0167989` Chr`10` : `121,366,953`	0.000	0.999	0.001
rs224136 lBF = `-0.0397904` Chr`10` : `64,470,675`	0.000	0.999	0.001
rs7088969 lBF = `-0.0955842` Chr`10` : `119,533,757`	0.001	0.999	0.000
rs2642575 lBF = `-0.103105` Chr`10` : `71,543,168`	0.001	0.999	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.000	0.999	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.000	0.999	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.000	0.999	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.000	0.999	0.001
rs224278 lBF = `0.0892261` Chr`10` : `64,580,575`	0.001	0.999	0.000
rs1923539 lBF = `0.0349746` Chr`10` : `81,694,950`	0.001	0.999	0.000
rs10904363 lBF = `-0.0105264` Chr`10` : `4,920,413`	0.001	0.999	0.000
rs1033962 lBF = `-0.0974597` Chr`10` : `25,216,806`	0.001	0.999	0.000
rs10761659 lBF = `11.0248` Chr`10` : `64,445,564`	0.000	0.999	0.001
rs7904547 lBF = `10.7015` Chr`10` : `23,340,868`	0.001	0.999	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.000	0.999	0.001
rs17221323 lBF = `3.71226` Chr`10` : `618,685`	0.001	0.999	0.000
rs11595500 lBF = `1.70863` Chr`10` : `2,861,078`	0.001	0.999	0.000
rs975752 lBF = `0.361723` Chr`10` : `101,906,333`	0.001	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	0.999	0.000
rs12764197 lBF = `-0.057518` Chr`10` : `26,484,154`	0.000	0.999	0.000
rs17133587 lBF = `-0.0631607` Chr`10` : `4,809,075`	0.001	0.999	0.000
rs1149915 lBF = `8.71087` Chr`10` : `9,172,233`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.8841

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9836

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9787

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9743

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9727

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9566

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9559

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9532

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9476

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9434

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9148

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9119

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9099

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8958

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8822

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8792

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8769

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8768

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8759

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8575

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8539

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8501

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8429

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8401

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8374

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8353

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8299

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8259

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8245

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8233

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8167

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8156

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8042

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8020

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7987

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7908

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7906

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7892

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7862

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7852

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7827

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7767

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7724

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7654

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7602

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7597

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7509

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7467

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7400

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7381

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7378

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7286

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7215

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7187

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7159

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7142

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7138

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7102

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7091

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7044

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7026

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7010

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6990

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6984

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6804

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6338

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6280

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6165

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6096

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6071

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6045

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5999

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5927

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5801

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5675

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5666

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5546

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5512

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5507

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5486

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5360

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5320

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5296

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5248

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5197

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5180

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5087

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4971

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4965

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4839

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4822

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4748

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4683

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4621

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4526

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4524

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4501

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4485

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4455

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4437

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4357

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4140

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3991

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3881

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3825

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3817

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3547

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3384

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3227

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3003

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2879

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2861

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2815

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2698

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2643

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2585

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2551

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2548

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2545

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2538

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2281

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2114

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1942

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1894

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1891

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1875

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1832

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1819

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1814

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1780

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1719

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1684

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1663

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1580

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1450

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1404

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1389

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1387

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1314

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1249

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1040

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0992

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0940

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0831

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0694

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0684

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0625

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0544

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0538

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0525

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0500

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`)