TreeWAS – [I33.0] Acute and subacute infective endocarditis

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
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.730	0.270	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.696	0.304	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.691	0.309	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.689	0.311	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.666	0.334	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.663	0.337	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.648	0.352	0.000
rs72798117 lBF = `5.28699` Chr`5` : `107,325,940`	0.638	0.362	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.628	0.371	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.627	0.373	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.619	0.381	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.593	0.407	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.592	0.408	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.588	0.412	0.000
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.583	0.417	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.573	0.427	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.572	0.427	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.572	0.428	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.570	0.430	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.570	0.430	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.567	0.433	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.565	0.435	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.564	0.436	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.559	0.441	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.557	0.443	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.551	0.448	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.545	0.455	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.545	0.455	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.542	0.458	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.536	0.464	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.534	0.466	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.534	0.466	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.531	0.468	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.528	0.472	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.522	0.478	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.514	0.486	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.514	0.486	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.514	0.486	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.514	0.486	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.513	0.486	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.513	0.486	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.513	0.487	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.512	0.488	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.512	0.488	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.512	0.488	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.509	0.491	0.000
rs17615906 lBF = `13.0692` Chr`5` : `128,018,413`	0.507	0.493	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.506	0.494	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.506	0.494	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.506	0.494	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.506	0.494	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.505	0.495	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.504	0.495	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.504	0.496	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.503	0.497	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.502	0.497	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.501	0.498	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.499	0.500	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.499	0.501	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.491	0.508	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.491	0.509	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.490	0.510	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.487	0.513	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.486	0.513	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.486	0.514	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.484	0.516	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.483	0.517	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.483	0.517	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.475	0.525	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.472	0.528	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.471	0.529	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.470	0.530	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.470	0.530	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.468	0.532	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.468	0.532	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.468	0.532	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.466	0.534	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.465	0.535	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.463	0.536	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.462	0.538	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.460	0.540	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.454	0.546	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.452	0.548	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.451	0.549	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.451	0.549	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.447	0.553	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.444	0.555	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.443	0.557	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.441	0.559	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.440	0.560	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.435	0.564	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.432	0.568	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.431	0.568	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.430	0.569	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.430	0.570	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.420	0.580	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.418	0.582	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.418	0.582	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.415	0.585	0.000
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.414	0.586	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.411	0.589	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.410	0.589	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.404	0.596	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.401	0.599	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.401	0.599	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.401	0.599	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.398	0.601	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.394	0.605	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.390	0.609	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.387	0.613	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.384	0.615	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.382	0.617	0.000
rs10440708 lBF = `1.90063` Chr`5` : `172,650,487`	0.374	0.626	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.373	0.626	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.369	0.631	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.369	0.631	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.368	0.631	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.367	0.633	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.354	0.646	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.353	0.647	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.352	0.648	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.349	0.651	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.347	0.652	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.347	0.653	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.344	0.656	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.322	0.678	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.320	0.680	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.319	0.680	0.001
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.317	0.683	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.314	0.686	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.297	0.702	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.297	0.703	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.296	0.704	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.294	0.706	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.290	0.709	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.285	0.714	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.284	0.716	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.273	0.727	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.273	0.727	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.272	0.728	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.271	0.729	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.271	0.729	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.271	0.729	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.260	0.740	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.253	0.746	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.253	0.747	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.252	0.748	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.246	0.753	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.246	0.754	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.241	0.759	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.220	0.780	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.218	0.782	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.215	0.785	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.211	0.788	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.202	0.798	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.200	0.799	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.200	0.800	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.198	0.801	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.000	0.802	0.198
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.198	0.802	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.196	0.804	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.196	0.804	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.195	0.805	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.181	0.819	0.000
rs55988457 lBF = `0.175974` Chr`5` : `96,949,073`	0.179	0.821	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.178	0.821	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.177	0.823	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.176	0.823	0.000
rs72766477 lBF = `0.265279` Chr`5` : `83,907,229`	0.000	0.830	0.169
rs9313772 lBF = `18.9638` Chr`5` : `157,804,457`	0.000	0.845	0.155
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.149	0.851	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.145	0.854	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.140	0.860	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.138	0.862	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.134	0.866	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.122	0.877	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.119	0.881	0.000
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.112	0.888	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.111	0.889	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.107	0.892	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.107	0.893	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.099	0.901	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.098	0.901	0.001
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.098	0.902	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.097	0.903	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.092	0.908	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.092	0.908	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.090	0.910	0.000
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.090	0.910	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.086	0.914	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.083	0.917	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.082	0.918	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.081	0.919	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.075	0.925	0.000
rs73058713 lBF = `1.23719` Chr`5` : `20,374,213`	0.072	0.927	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.072	0.928	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.066	0.934	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.062	0.938	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.056	0.944	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.055	0.944	0.001
rs11953630 lBF = `17.8225` Chr`5` : `157,845,402`	0.000	0.947	0.053
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.052	0.948	0.000
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rs72795980 lBF = `0.0624979` Chr`5` : `107,282,349`	0.001	0.999	0.000
rs7718928 lBF = `0.00059472` Chr`5` : `161,836,885`	0.001	0.999	0.000
rs76933135 lBF = `0.00030942` Chr`5` : `100,456,944`	0.001	0.999	0.000
rs10070308 lBF = `0.0813207` Chr`5` : `107,281,621`	0.001	0.999	0.000
rs4865673 lBF = `-0.0472265` Chr`5` : `50,928,810`	0.001	0.999	0.000
rs9292468 lBF = `7.82074` Chr`5` : `32,819,073`	0.000	0.999	0.001
rs526231 lBF = `2.93815` Chr`5` : `102,681,381`	0.001	0.999	0.000
rs116454070 lBF = `9.0186` Chr`5` : `101,837,362`	0.001	0.999	0.000
rs7729356 lBF = `0.0149599` Chr`5` : `107,397,215`	0.001	0.999	0.000
rs12653396 lBF = `0.0112173` Chr`5` : `87,847,273`	0.001	0.999	0.000
rs186147679 lBF = `0.00723702` Chr`5` : `93,709,122`	0.001	0.999	0.000
rs267939 lBF = `-0.0800917` Chr`5` : `10,752,315`	0.000	0.999	0.001
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.001	0.999	0.000
rs10519388 lBF = `-0.0364921` Chr`5` : `113,852,050`	0.000	0.999	0.001
rs10037512 lBF = `-0.0552794` Chr`5` : `88,354,675`	0.000	0.999	0.001
rs10472076 lBF = `-0.101942` Chr`5` : `58,184,061`	0.001	0.999	0.000
rs35658696 lBF = `12.0059` Chr`5` : `102,338,811`	0.001	0.999	0.000
rs11167764 lBF = `0.126079` Chr`5` : `141,479,065`	0.001	0.999	0.000
rs606854 lBF = `0.00043378` Chr`5` : `134,572,229`	0.000	0.999	0.001
rs816475 lBF = `-0.0296632` Chr`5` : `4,831,601`	0.000	0.999	0.001
rs200113 lBF = `-0.0355359` Chr`5` : `8,652,870`	0.001	0.999	0.000
rs3936060 lBF = `-0.0577616` Chr`5` : `124,347,088`	0.000	0.999	0.001
rs4493682 lBF = `0.109734` Chr`5` : `45,188,024`	0.000	0.999	0.001
rs186292051 lBF = `0.010775` Chr`5` : `88,325,830`	0.000	0.999	0.001
rs6890695 lBF = `-0.0361999` Chr`5` : `130,888,424`	0.000	0.999	0.001
rs411174 lBF = `-0.0714303` Chr`5` : `156,609,000`	0.000	0.999	0.001
rs7722186 lBF = `6.47923` Chr`5` : `74,576,285`	0.000	0.999	0.001
rs32793 lBF = `0.0670305` Chr`5` : `32,073,566`	0.001	0.999	0.000
rs115007675 lBF = `0.00019866` Chr`5` : `43,888,283`	0.001	0.999	0.000
rs1185359 lBF = `-0.0127887` Chr`5` : `4,815,044`	0.000	0.999	0.001
rs7724774 lBF = `-0.0389207` Chr`5` : `150,585,867`	0.001	0.999	0.000
rs16867576 lBF = `-0.0395708` Chr`5` : `88,746,331`	0.000	0.999	0.001
rs10040989 lBF = `2.03436` Chr`5` : `137,573,725`	0.001	0.999	0.000
rs116688600 lBF = `0.0471552` Chr`5` : `26,746,383`	0.000	0.999	0.001
rs13155649 lBF = `0.0175459` Chr`5` : `76,327,570`	0.001	0.999	0.000
rs7729539 lBF = `0.00006012` Chr`5` : `64,417,678`	0.001	0.999	0.000
rs11957368 lBF = `0.00004628` Chr`5` : `157,683,525`	0.001	0.999	0.000
rs114878198 lBF = `0.00001016` Chr`5` : `78,939,907`	0.000	0.999	0.001
rs2055376 lBF = `-0.00428953` Chr`5` : `116,181,428`	0.001	0.999	0.000
rs4563609 lBF = `3.3272` Chr`5` : `157,917,275`	0.001	0.999	0.000
rs10515148 lBF = `0.257222` Chr`5` : `71,716,928`	0.001	0.999	0.000
rs7710178 lBF = `0.016731` Chr`5` : `156,013,831`	0.001	0.999	0.000
rs6874604 lBF = `0.00005269` Chr`5` : `162,107,379`	0.001	0.999	0.000
rs7736304 lBF = `0.00001865` Chr`5` : `153,048,888`	0.001	0.999	0.000
rs73780158 lBF = `0` Chr`5` : `100,592,094`	0.001	0.999	0.001
rs79987496 lBF = `0` Chr`5` : `136,443,247`	0.001	0.999	0.001
rs147776718 lBF = `0` Chr`5` : `15,826,467`	0.001	0.999	0.001
rs792975 lBF = `0` Chr`5` : `172,271,007`	0.001	0.999	0.001
rs146358354 lBF = `0` Chr`5` : `43,754,102`	0.001	0.999	0.001
rs182791062 lBF = `0` Chr`5` : `151,319,122`	0.001	0.999	0.001
rs77905828 lBF = `0` Chr`5` : `100,515,869`	0.001	0.999	0.001
rs55670112 lBF = `0` Chr`5` : `114,268,470`	0.001	0.999	0.001
rs1368304 lBF = `0` Chr`5` : `147,603,067`	0.001	0.999	0.001
rs193098517 lBF = `0` Chr`5` : `156,506,652`	0.001	0.999	0.001
rs79414853 lBF = `0` Chr`5` : `90,077,551`	0.001	0.999	0.001
rs73803919 lBF = `0` Chr`5` : `167,075,660`	0.001	0.999	0.001
rs192514502 lBF = `0` Chr`5` : `94,234,299`	0.001	0.999	0.001
rs144137862 lBF = `0` Chr`5` : `130,441,646`	0.001	0.999	0.001
rs143766413 lBF = `0` Chr`5` : `153,937,479`	0.001	0.999	0.001
rs145317423 lBF = `0` Chr`5` : `83,368,045`	0.001	0.999	0.001
rs73326661 lBF = `0` Chr`5` : `163,767,331`	0.001	0.999	0.001
rs184759447 lBF = `0` Chr`5` : `45,904,356`	0.001	0.999	0.001
rs76684306 lBF = `0` Chr`5` : `15,616,676`	0.001	0.999	0.001
rs184606651 lBF = `0` Chr`5` : `45,868,177`	0.001	0.999	0.001
rs17166496 lBF = `0` Chr`5` : `132,628,884`	0.001	0.999	0.001
rs187460213 lBF = `0` Chr`5` : `150,149,835`	0.001	0.999	0.001
rs186968760 lBF = `0` Chr`5` : `15,922,694`	0.001	0.999	0.001
rs184897315 lBF = `0` Chr`5` : `124,555,770`	0.001	0.999	0.001
rs143404520 lBF = `0` Chr`5` : `136,405,836`	0.001	0.999	0.001
rs73132886 lBF = `0` Chr`5` : `77,348,640`	0.001	0.999	0.001
rs115854050 lBF = `0` Chr`5` : `149,784,319`	0.001	0.999	0.001
rs144704329 lBF = `0` Chr`5` : `84,074,292`	0.001	0.999	0.001
rs6887276 lBF = `0` Chr`5` : `127,378,294`	0.001	0.999	0.001
rs77372450 lBF = `0` Chr`5` : `156,970,144`	0.001	0.999	0.001
rs140065777 lBF = `0` Chr`5` : `45,770,482`	0.001	0.999	0.001
rs73177427 lBF = `0` Chr`5` : `90,062,096`	0.001	0.999	0.001
rs142001454 lBF = `0` Chr`5` : `163,768,538`	0.001	0.999	0.001
rs114183953 lBF = `0` Chr`5` : `169,453,092`	0.001	0.999	0.001
rs10066744 lBF = `0` Chr`5` : `177,746,600`	0.001	0.999	0.001
rs189178057 lBF = `0` Chr`5` : `45,972,353`	0.001	0.999	0.001
rs145613323 lBF = `0` Chr`5` : `1,189,674`	0.001	0.999	0.001
rs139817151 lBF = `0` Chr`5` : `40,967,709`	0.001	0.999	0.001
rs139293074 lBF = `0` Chr`5` : `58,083,195`	0.001	0.999	0.001
rs186947746 lBF = `0` Chr`5` : `60,032,278`	0.001	0.999	0.001
rs192419686 lBF = `0` Chr`5` : `45,888,375`	0.001	0.999	0.001
rs184378308 lBF = `0` Chr`5` : `139,122,247`	0.001	0.999	0.001
rs190204665 lBF = `0` Chr`5` : `76,089,009`	0.001	0.999	0.001
rs77202753 lBF = `0` Chr`5` : `9,619,864`	0.001	0.999	0.001
rs115559601 lBF = `0` Chr`5` : `66,519,158`	0.001	0.999	0.001
rs6862531 lBF = `-0.0404284` Chr`5` : `143,085,953`	0.001	0.999	0.000
rs17413459 lBF = `-0.0413454` Chr`5` : `143,079,208`	0.001	0.999	0.000
rs4262150 lBF = `-0.0877337` Chr`5` : `152,288,453`	0.000	0.999	0.001
rs115545556 lBF = `0.0000473` Chr`5` : `131,479,497`	0.001	0.999	0.000
rs60188314 lBF = `0.00003162` Chr`5` : `171,538,744`	0.001	0.999	0.000
rs326155 lBF = `0.00000265` Chr`5` : `7,816,645`	0.001	0.999	0.000
rs191414751 lBF = `-0.00000287` Chr`5` : `45,858,968`	0.001	0.999	0.000
rs114770284 lBF = `-0.0000089` Chr`5` : `43,867,806`	0.001	0.999	0.000
rs78883564 lBF = `-0.0000089` Chr`5` : `43,888,736`	0.001	0.999	0.000
rs75650673 lBF = `-0.0000089` Chr`5` : `43,879,990`	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.3649

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3546

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3451

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1994

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9919

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9890

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9838

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9827

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9818

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9808

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9764

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9718

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9609

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9580

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9503

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9460

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9422

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9404

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9364

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9324

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9319

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9309

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9287

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9275

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9260

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9258

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9215

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9198

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9065

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9006

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8905

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8863

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8859

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8790

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8780

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8737

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8717

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8627

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8551

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8516

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8461

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8440

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8389

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8311

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8282

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8266

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8250

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8229

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8175

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8102

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7850

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7786

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7673

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7652

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7632

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7553

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7540

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7502

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7454

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7451

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7347

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7320

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7291

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7257

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7241

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7233

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7120

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7023

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6952

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6903

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6857

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6831

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6663

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6648

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6623

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6621

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6594

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6577

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6574

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6543

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6396

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6382

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6275

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6194

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6097

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6067

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5926

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5919

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5857

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5820

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5713

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5584

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5561

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5553

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5551

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5536

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5494

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5420

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5374

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5362

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5067

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4916

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4881

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4817

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4810

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4677

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4470

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4343

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4337

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4163

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4152

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4085

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3931

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3830

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3701

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3651

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3609

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3411

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3398

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3103

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2979

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2849

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2827

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2730

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2630

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2603

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2498

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2488

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2454

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2381

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2375

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2246

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2244

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2163

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2023

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1963

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1912

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1839

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1831

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1801

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1320

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1303

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1274

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1195

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0921

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0845

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0843

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0788

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0655

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0581

Cluster X0225

log Bayes Factor = 36.4143

contains 3 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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)