TreeWAS – [I45.6] Preexcitation syndrome

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
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.951	0.049	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.850	0.150	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.782	0.218	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.773	0.227	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.725	0.275	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.723	0.277	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.719	0.281	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.715	0.285	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.700	0.300	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.686	0.314	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.685	0.315	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.675	0.325	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.673	0.326	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.670	0.329	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.668	0.332	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.667	0.333	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.657	0.343	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.648	0.352	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.640	0.360	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.639	0.361	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.630	0.370	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.624	0.376	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.623	0.377	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.622	0.377	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.622	0.378	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.614	0.386	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.612	0.388	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.606	0.394	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.598	0.402	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.597	0.403	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.593	0.407	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.584	0.416	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.580	0.420	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.576	0.424	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.574	0.426	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.574	0.426	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.563	0.437	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.561	0.438	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.000	0.442	0.558
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.534	0.466	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.534	0.466	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.530	0.469	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.523	0.477	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.522	0.477	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.520	0.480	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.517	0.482	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.516	0.484	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.513	0.487	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.512	0.488	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.510	0.490	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.509	0.491	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.506	0.494	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.504	0.496	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.502	0.498	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.498	0.502	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.496	0.503	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.492	0.508	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.492	0.508	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.488	0.512	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.486	0.514	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.484	0.516	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.469	0.531	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.467	0.533	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.463	0.537	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.456	0.544	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.454	0.546	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.452	0.547	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.427	0.573	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.427	0.573	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.427	0.573	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.426	0.574	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.423	0.577	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.421	0.579	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.418	0.582	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.416	0.583	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.416	0.584	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.415	0.585	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.413	0.587	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.408	0.591	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.406	0.594	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.400	0.600	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.398	0.601	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.393	0.607	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.392	0.607	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.392	0.608	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.387	0.613	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.381	0.618	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.375	0.625	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.362	0.638	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.360	0.640	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.359	0.641	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.352	0.648	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.347	0.653	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.345	0.655	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.339	0.661	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.336	0.664	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.327	0.673	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.326	0.674	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.325	0.675	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.321	0.679	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.318	0.682	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.315	0.685	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.313	0.686	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.313	0.687	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.312	0.687	0.001
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.307	0.692	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.303	0.697	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.287	0.713	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.283	0.717	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.272	0.728	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.256	0.744	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.251	0.749	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.250	0.750	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.242	0.758	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.237	0.762	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.227	0.773	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.226	0.773	0.001
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.226	0.774	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.221	0.778	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.221	0.779	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.219	0.780	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.213	0.787	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.212	0.788	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.211	0.789	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.203	0.797	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.197	0.803	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.177	0.823	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.175	0.825	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.171	0.829	0.001
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.160	0.840	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.151	0.849	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.142	0.858	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.142	0.858	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.138	0.862	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.865	0.135
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.128	0.872	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.124	0.876	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.123	0.876	0.001
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.099	0.901	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.098	0.901	0.001
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.094	0.906	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.087	0.913	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.085	0.915	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.083	0.917	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.082	0.918	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.078	0.921	0.001
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.077	0.922	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.076	0.923	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.074	0.926	0.000
rs1934954 lBF = `0.0713634` Chr`10` : `96,792,202`	0.072	0.928	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.071	0.929	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.931	0.069
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.067	0.933	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.066	0.933	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.066	0.934	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.065	0.934	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.065	0.935	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.063	0.937	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.061	0.938	0.000
rs17771318 lBF = `0.0721` Chr`10` : `49,911,357`	0.060	0.939	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.057	0.942	0.000
rs11257655 lBF = `4.88826` Chr`10` : `12,307,894`	0.054	0.946	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.051	0.949	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.049	0.951	0.000
rs1054052 lBF = `0.16139` Chr`10` : `23,303,253`	0.047	0.953	0.000
rs9665626 lBF = `0.149738` Chr`10` : `104,300,638`	0.047	0.953	0.000
rs11191416 lBF = `8.43111` Chr`10` : `104,604,916`	0.000	0.954	0.046
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.046	0.954	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.041	0.959	0.000
rs3824755 lBF = `7.9222` Chr`10` : `104,595,849`	0.000	0.960	0.040
rs1004467 lBF = `7.82232` Chr`10` : `104,594,507`	0.000	0.961	0.039
rs72793138 lBF = `0.00702607` Chr`10` : `55,480,888`	0.038	0.962	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.036	0.964	0.000
rs7904547 lBF = `10.7015` Chr`10` : `23,340,868`	0.000	0.965	0.035
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.034	0.966	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.032	0.968	0.000
rs4409766 lBF = `8.10428` Chr`10` : `104,616,663`	0.000	0.968	0.031
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.031	0.969	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.030	0.970	0.000
rs17115100 lBF = `7.50663` Chr`10` : `104,591,393`	0.000	0.970	0.030
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.029	0.970	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.028	0.972	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.027	0.972	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.027	0.973	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.026	0.974	0.000
rs12413409 lBF = `12.3734` Chr`10` : `104,719,096`	0.000	0.975	0.025
rs3824756 lBF = `0.064437` Chr`10` : `104,359,350`	0.000	0.975	0.025
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.024	0.975	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.024	0.976	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.024	0.976	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.023	0.976	0.000
rs12221133 lBF = `7.50515` Chr`10` : `12,253,597`	0.023	0.977	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.022	0.977	0.000
rs11191454 lBF = `12.1105` Chr`10` : `104,660,004`	0.000	0.978	0.022
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.021	0.979	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.020	0.980	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.020	0.980	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.020	0.980	0.000
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.020	0.980	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.019	0.981	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.018	0.982	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.018	0.982	0.000
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rs12245299 lBF = `0` Chr`10` : `55,913,700`	0.001	0.999	0.001
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
rs10796051 lBF = `0` Chr`10` : `13,310,071`	0.001	0.999	0.001
rs182344828 lBF = `0` Chr`10` : `54,593,326`	0.001	0.999	0.001
rs77040403 lBF = `0` Chr`10` : `71,640,838`	0.001	0.999	0.001
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.001	0.999	0.000
rs2274223 lBF = `0.877294` Chr`10` : `96,066,341`	0.000	0.999	0.001
rs11593576 lBF = `0.0421681` Chr`10` : `81,015,896`	0.000	0.999	0.001
rs41322152 lBF = `0.00001398` Chr`10` : `72,040,805`	0.000	0.999	0.001
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`	0.001	0.999	0.000
rs2441755 lBF = `-0.104898` Chr`10` : `68,165,267`	0.000	0.999	0.001
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.001	0.999	0.000
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs7914606 lBF = `-0.0169026` Chr`10` : `85,105,609`	0.000	0.999	0.001
rs224136 lBF = `-0.0397904` Chr`10` : `64,470,675`	0.000	0.999	0.001
rs1970525 lBF = `-0.0556589` Chr`10` : `87,634,924`	0.000	0.999	0.001
rs875860 lBF = `0.0197215` Chr`10` : `73,309,529`	0.000	0.999	0.001
rs2904804 lBF = `-0.0415251` Chr`10` : `5,009,759`	0.001	0.999	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.000	0.999	0.001
rs55833108 lBF = `0.239505` Chr`10` : `104,741,583`	0.001	0.999	0.000
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.001	0.999	0.000
rs188370812 lBF = `0.00201931` Chr`10` : `29,246,249`	0.000	0.999	0.001
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.001	0.999	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.999	0.001
rs192649950 lBF = `0.0103329` Chr`10` : `29,246,250`	0.000	0.999	0.001
rs1819658 lBF = `-0.0719` Chr`10` : `59,913,151`	0.000	0.999	0.001
rs501120 lBF = `14.2539` Chr`10` : `44,753,867`	0.001	0.999	0.000
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.000	0.999	0.000
rs10822809 lBF = `-0.0570241` Chr`10` : `68,085,325`	0.000	0.999	0.001
rs2274351 lBF = `1.33227` Chr`10` : `104,264,107`	0.001	0.999	0.000
rs1171606 lBF = `0.0625205` Chr`10` : `61,434,519`	0.001	0.999	0.000
rs2017305 lBF = `-0.0198916` Chr`10` : `70,712,062`	0.001	0.999	0.000
rs2250149 lBF = `-0.0455047` Chr`10` : `91,963,463`	0.001	0.999	0.000
rs10906233 lBF = `0.0196802` Chr`10` : `12,875,208`	0.001	0.999	0.000
rs11198013 lBF = `0.343369` Chr`10` : `119,253,738`	0.001	0.999	0.000
rs11001819 lBF = `0.279054` Chr`10` : `78,315,224`	0.000	0.999	0.001
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.000	0.999	0.001
rs728616 lBF = `0.185726` Chr`10` : `81,847,914`	0.001	0.999	0.000
rs7901794 lBF = `0.0169418` Chr`10` : `64,877,938`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.001	0.999	0.000
rs11818084 lBF = `-0.0333965` Chr`10` : `125,986,898`	0.001	0.999	0.000
rs2250245 lBF = `-0.0415643` Chr`10` : `91,962,670`	0.001	0.999	0.000
rs7901135 lBF = `-0.0693127` Chr`10` : `60,586,506`	0.001	0.999	0.000
rs2227551 lBF = `0.324915` Chr`10` : `75,669,190`	0.000	0.999	0.001
rs2999399 lBF = `0.0963459` Chr`10` : `1,630,821`	0.000	0.999	0.001
rs3739998 lBF = `0.672566` Chr`10` : `30,316,072`	0.001	0.999	0.000
rs149613931 lBF = `0.0545058` Chr`10` : `103,550,281`	0.000	0.999	0.001
rs79193624 lBF = `-0.00608204` Chr`10` : `64,000,336`	0.000	0.999	0.001
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.001	0.999	0.000
rs2802493 lBF = `2.16711` Chr`10` : `44,553,583`	0.001	0.999	0.000
rs10508459 lBF = `0.0366739` Chr`10` : `13,363,046`	0.001	0.999	0.000
rs10905099 lBF = `-0.0153809` Chr`10` : `7,089,016`	0.001	0.999	0.000
rs1108131 lBF = `-0.0709582` Chr`10` : `12,497,747`	0.000	0.999	0.001
rs34014631 lBF = `0.0705175` Chr`10` : `103,698,705`	0.000	0.999	0.001
rs10999409 lBF = `-0.0467677` Chr`10` : `72,332,440`	0.001	0.999	0.000
rs12261764 lBF = `-0.0629384` Chr`10` : `122,522,381`	0.001	0.999	0.000
rs7094131 lBF = `-0.0649277` Chr`10` : `22,847,439`	0.001	0.999	0.000
rs1801253 lBF = `9.3746` Chr`10` : `115,805,056`	0.001	0.999	0.000
rs11187837 lBF = `4.57578` Chr`10` : `96,035,980`	0.000	0.999	0.001
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.999	0.001
rs6585424 lBF = `-0.0152303` Chr`10` : `81,933,748`	0.001	0.999	0.000
rs12249377 lBF = `-0.0454975` Chr`10` : `92,592,956`	0.001	0.999	0.000
rs17621444 lBF = `-0.0519312` Chr`10` : `121,821,538`	0.000	0.999	0.001
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.000	0.999	0.000
rs11187842 lBF = `5.56677` Chr`10` : `96,052,511`	0.000	0.999	0.001
rs2787702 lBF = `0.203332` Chr`10` : `63,307,475`	0.000	0.999	0.001
rs117352156 lBF = `0.0132881` Chr`10` : `29,246,205`	0.000	0.999	0.001
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.001	0.999	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.001	0.999	0.000
rs2842169 lBF = `0.00422794` Chr`10` : `128,330,713`	0.001	0.999	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.001	0.999	0.000
rs6479891 lBF = `-0.0454928` Chr`10` : `65,006,456`	0.001	0.999	0.000
rs10458771 lBF = `-0.0468789` Chr`10` : `88,162,238`	0.000	0.999	0.001
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.999	0.001
rs10794720 lBF = `0.062675` Chr`10` : `1,156,165`	0.000	0.999	0.001
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.000
rs12218439 lBF = `0.00095102` Chr`10` : `70,490,106`	0.001	0.999	0.000
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.000	0.999	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.001	0.999	0.000
rs4751844 lBF = `33.0988` Chr`10` : `123,331,507`	0.001	0.999	0.000
rs45631630 lBF = `6.07045` Chr`10` : `123,340,824`	0.000	0.999	0.000
rs16906252 lBF = `0.0184842` Chr`10` : `131,265,545`	0.000	0.999	0.001
rs10906824 lBF = `-0.00668787` Chr`10` : `15,128,969`	0.001	0.999	0.000
rs1676712 lBF = `-0.0344275` Chr`10` : `127,836,840`	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

0.5613

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2224

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0717

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9971

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9891

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9844

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9759

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9739

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9716

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9695

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9631

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9615

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9578

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9571

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9515

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9419

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9303

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9283

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9251

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9234

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9211

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9201

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9189

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9126

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9113

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9098

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9045

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9028

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9015

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8952

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8891

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8888

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8886

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8786

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8758

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8749

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8731

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8647

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8647

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8607

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8606

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8426

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8407

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8375

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8262

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7972

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7877

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7870

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7818

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7766

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7766

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7652

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7639

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7576

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7510

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7464

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7397

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7362

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7337

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7283

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7254

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7175

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7146

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7138

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7122

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7107

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7051

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7043

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6937

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6882

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.6723

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6650

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6637

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6531

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6503

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6439

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6371

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6271

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6132

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6125

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6120

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6081

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6076

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5884

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5858

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5843

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5809

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5780

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5598

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5539

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5444

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5429

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5397

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5278

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5147

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5098

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4926

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4926

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4738

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4587

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4419

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4252

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4191

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4025

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3984

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3950

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3868

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3748

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3357

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3181

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2999

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2776

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2751

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2724

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2599

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2456

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2422

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2260

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2198

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2178

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2138

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2103

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1863

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1762

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1749

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1677

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1436

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1326

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1294

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1079

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1026

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0839

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0816

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0754

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0669

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0607

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0540

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.0530

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`)