TreeWAS – [S01.3] Open wound of ear

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
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.866	0.134	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.850	0.150	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.825	0.175	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.805	0.195	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.803	0.197	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.795	0.205	0.000
rs12780046 lBF = `1.06285` Chr`10` : `100,856,453`	0.794	0.206	0.000
rs10762651 lBF = `0.860895` Chr`10` : `76,822,117`	0.000	0.215	0.785
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.769	0.231	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.744	0.256	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.736	0.264	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.714	0.286	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.701	0.298	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.682	0.318	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.667	0.333	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.660	0.340	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.655	0.345	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.654	0.346	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.647	0.353	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.646	0.354	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.634	0.366	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.631	0.369	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.631	0.369	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.625	0.374	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.610	0.390	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.608	0.392	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.606	0.393	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.591	0.409	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.589	0.410	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.586	0.414	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.584	0.416	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.583	0.417	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.580	0.420	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.578	0.422	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.578	0.422	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.576	0.424	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.570	0.430	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.563	0.437	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.547	0.453	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.542	0.458	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.529	0.471	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.528	0.472	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.522	0.478	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.501	0.499	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.496	0.504	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.493	0.507	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.492	0.508	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.486	0.513	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.486	0.514	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.485	0.515	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.478	0.522	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.477	0.523	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.462	0.537	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.462	0.538	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.462	0.538	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.460	0.539	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.459	0.541	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.454	0.545	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.442	0.558	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.439	0.561	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.437	0.563	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.432	0.568	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.430	0.569	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.430	0.570	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.428	0.571	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.426	0.574	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.423	0.577	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.420	0.580	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.417	0.583	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.412	0.588	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.405	0.595	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.395	0.604	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.395	0.605	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.394	0.606	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.393	0.607	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.392	0.608	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.392	0.608	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.381	0.619	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.381	0.619	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.380	0.620	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.377	0.623	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.376	0.624	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.365	0.635	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.363	0.637	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.352	0.648	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.349	0.651	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.348	0.652	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.344	0.655	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.337	0.663	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.330	0.670	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.327	0.672	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.326	0.673	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.321	0.678	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.315	0.684	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.315	0.685	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.311	0.689	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.311	0.689	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.305	0.695	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.304	0.696	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.302	0.698	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.298	0.701	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.297	0.703	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.291	0.709	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.290	0.710	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.286	0.714	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.286	0.714	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.285	0.715	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.280	0.720	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.280	0.720	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.274	0.726	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.273	0.727	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.268	0.732	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.267	0.733	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.265	0.734	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.262	0.738	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.258	0.742	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.258	0.742	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.257	0.743	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.256	0.743	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.255	0.745	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.255	0.745	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.254	0.746	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.253	0.747	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.253	0.747	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.252	0.747	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.252	0.747	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.253	0.747	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.252	0.747	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.246	0.753	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.246	0.754	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.244	0.755	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.243	0.757	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.243	0.757	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.237	0.763	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.235	0.765	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.234	0.765	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.233	0.767	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.232	0.767	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.231	0.769	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.230	0.770	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.225	0.775	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.222	0.777	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.221	0.779	0.000
rs17470570 lBF = `0.583532` Chr`10` : `100,580,123`	0.218	0.782	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.217	0.783	0.001
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.215	0.785	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.208	0.792	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.206	0.794	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.204	0.795	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.196	0.803	0.000
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.194	0.806	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.187	0.813	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.187	0.813	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.178	0.822	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.177	0.822	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.177	0.822	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.174	0.826	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.166	0.834	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.164	0.836	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.162	0.838	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.160	0.840	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.157	0.842	0.000
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.156	0.844	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.155	0.844	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.152	0.848	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.148	0.851	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.145	0.855	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.859	0.141
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.140	0.860	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.138	0.862	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.137	0.863	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.137	0.863	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.136	0.864	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.135	0.865	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.134	0.866	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.133	0.867	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.000	0.868	0.132
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.130	0.870	0.001
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.129	0.870	0.001
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.128	0.872	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.127	0.872	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.125	0.875	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.117	0.882	0.000
rs7085104 lBF = `0.0395616` Chr`10` : `104,628,873`	0.000	0.883	0.117
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.114	0.885	0.001
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.113	0.886	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.113	0.887	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.106	0.894	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.104	0.896	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.101	0.899	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.100	0.900	0.001
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.097	0.903	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.097	0.903	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.096	0.904	0.000
rs11191419 lBF = `0.0163696` Chr`10` : `104,612,335`	0.000	0.904	0.096
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.087	0.912	0.001
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.086	0.913	0.001
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.082	0.917	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.080	0.919	0.001
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.080	0.920	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.077	0.923	0.001
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.077	0.923	0.000
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rs138071473 lBF = `0.00077146` Chr`10` : `13,673,528`	0.001	0.999	0.000
rs146091982 lBF = `0.00023091` Chr`10` : `95,659,958`	0.001	0.999	0.000
rs6585436 lBF = `-0.0127775` Chr`10` : `119,210,375`	0.001	0.999	0.000
rs61458523 lBF = `0.00046382` Chr`10` : `60,668,571`	0.001	0.999	0.001
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.000	0.999	0.001
rs3750716 lBF = `0.00008779` Chr`10` : `101,816,863`	0.001	0.999	0.000
rs143362648 lBF = `0.00007062` Chr`10` : `21,694,219`	0.001	0.999	0.001
rs76409888 lBF = `0.00006188` Chr`10` : `73,723,956`	0.001	0.999	0.000
rs7895372 lBF = `0.00002095` Chr`10` : `15,719,621`	0.001	0.999	0.000
rs143988467 lBF = `0` Chr`10` : `95,317,394`	0.001	0.999	0.001
rs182554582 lBF = `0` Chr`10` : `88,194,959`	0.001	0.999	0.001
rs185636671 lBF = `0` Chr`10` : `135,172,794`	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
rs10796051 lBF = `0` Chr`10` : `13,310,071`	0.001	0.999	0.001
rs185671464 lBF = `0` Chr`10` : `54,486,920`	0.001	0.999	0.001
rs144473309 lBF = `0` Chr`10` : `77,129,161`	0.001	0.999	0.001
rs140682412 lBF = `0` Chr`10` : `89,332,706`	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
rs180858466 lBF = `0` Chr`10` : `38,761,238`	0.001	0.999	0.001
rs76850691 lBF = `0` Chr`10` : `101,157,438`	0.001	0.999	0.001
rs181666690 lBF = `0` Chr`10` : `28,852,022`	0.001	0.999	0.001
rs4750829 lBF = `0` Chr`10` : `132,547,261`	0.001	0.999	0.001
rs183323229 lBF = `0` Chr`10` : `33,168,215`	0.001	0.999	0.001
rs114088342 lBF = `0` Chr`10` : `35,918,232`	0.001	0.999	0.001
rs12245299 lBF = `0` Chr`10` : `55,913,700`	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
rs7072776 lBF = `0` Chr`10` : `22,032,942`	0.001	0.999	0.001
rs79105493 lBF = `0` Chr`10` : `95,475,354`	0.001	0.999	0.001
rs117260820 lBF = `0` Chr`10` : `102,048,643`	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
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs190045766 lBF = `0` Chr`10` : `120,643,886`	0.001	0.999	0.001
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs140265971 lBF = `-0.0126799` Chr`10` : `59,311,903`	0.001	0.999	0.000
rs12356475 lBF = `0.0442279` Chr`10` : `67,761,720`	0.001	0.999	0.000
rs41322152 lBF = `0.00001398` Chr`10` : `72,040,805`	0.001	0.999	0.000
rs181778161 lBF = `-0.00000964` Chr`10` : `91,691,500`	0.000	0.999	0.001
rs10508343 lBF = `-0.00003164` Chr`10` : `8,150,713`	0.000	0.999	0.001
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs17095355 lBF = `0.829671` Chr`10` : `111,735,750`	0.000	0.999	0.001
rs16906252 lBF = `0.0184842` Chr`10` : `131,265,545`	0.001	0.999	0.000
rs1800682 lBF = `-0.0553043` Chr`10` : `90,749,963`	0.001	0.999	0.000
rs10786436 lBF = `0.0460682` Chr`10` : `100,300,182`	0.000	0.999	0.001
rs2275540 lBF = `-0.00388721` Chr`10` : `128,797,717`	0.001	0.999	0.000
rs3923088 lBF = `9.0099` Chr`10` : `25,815,417`	0.000	0.999	0.001
rs12761224 lBF = `0.353374` Chr`10` : `72,527,517`	0.000	0.999	0.001
rs10823607 lBF = `0.0203706` Chr`10` : `72,500,763`	0.000	0.999	0.001
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs938036 lBF = `-0.00877572` Chr`10` : `65,658,744`	0.000	0.999	0.001
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.001	0.999	0.000
rs577969 lBF = `-0.00850882` Chr`10` : `100,291,176`	0.000	0.999	0.001
rs10508517 lBF = `0.0445313` Chr`10` : `16,997,891`	0.000	0.999	0.001
rs2043090 lBF = `-0.0547862` Chr`10` : `77,298,609`	0.000	0.999	0.001
rs7076247 lBF = `-0.0823759` Chr`10` : `18,759,629`	0.000	0.999	0.001
rs1704223 lBF = `27.0702` Chr`10` : `44,677,014`	0.000	0.999	0.001
rs12722495 lBF = `2.89266` Chr`10` : `6,097,283`	0.000	0.999	0.001
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.000
rs7915008 lBF = `12.4533` Chr`10` : `123,025,225`	0.000	0.999	0.001
rs1992625 lBF = `10.9105` Chr`10` : `63,520,698`	0.000	0.999	0.001
rs12258967 lBF = `5.1391` Chr`10` : `18,727,959`	0.000	0.999	0.001
rs11199914 lBF = `0.441538` Chr`10` : `123,093,901`	0.001	0.999	0.000
rs139326003 lBF = `0.0945419` Chr`10` : `54,365,958`	0.001	0.999	0.000
rs17774576 lBF = `-0.00837297` Chr`10` : `50,500,459`	0.001	0.999	0.000
rs10882097 lBF = `-0.0232321` Chr`10` : `82,568,684`	0.001	0.999	0.000
rs2153299 lBF = `-0.0710089` Chr`10` : `28,752,106`	0.000	0.999	0.001
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.000	0.999	0.001
rs2388896 lBF = `14.2296` Chr`10` : `8,954,224`	0.001	0.999	0.000
rs3843585 lBF = `-0.0545161` Chr`10` : `71,704,751`	0.001	0.999	0.000
rs11190604 lBF = `-0.0595891` Chr`10` : `102,302,457`	0.001	0.999	0.000
rs640090 lBF = `0.0279972` Chr`10` : `95,392,585`	0.000	0.999	0.001
rs10829156 lBF = `-0.0114929` Chr`10` : `18,950,555`	0.001	0.999	0.000
rs4143094 lBF = `-0.0347069` Chr`10` : `8,089,136`	0.001	0.999	0.000
rs2070677 lBF = `-0.038347` Chr`10` : `135,351,174`	0.000	0.999	0.001
rs2070676 lBF = `-0.0388763` Chr`10` : `135,351,137`	0.000	0.999	0.001
rs17642749 lBF = `-0.00179651` Chr`10` : `119,647,256`	0.001	0.999	0.000
rs7902708 lBF = `-0.0358989` Chr`10` : `54,439,728`	0.001	0.999	0.000
rs2675669 lBF = `1.78655` Chr`10` : `75,653,872`	0.001	0.999	0.000
rs1867982 lBF = `0.0390481` Chr`10` : `73,527,047`	0.000	0.999	0.001
rs1907926 lBF = `0.0107681` Chr`10` : `58,339,241`	0.001	0.999	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.000	0.999	0.001
rs1541010 lBF = `-0.0483994` Chr`10` : `13,755,544`	0.000	0.999	0.001
rs17625382 lBF = `-0.0536618` Chr`10` : `59,572,708`	0.001	0.999	0.000
rs1953600 lBF = `3.82886` Chr`10` : `81,911,725`	0.000	0.999	0.001
rs501764 lBF = `0.105366` Chr`10` : `8,093,034`	0.001	0.999	0.000
rs1967818 lBF = `14.6927` Chr`10` : `8,961,922`	0.000	0.999	0.001
rs1149915 lBF = `8.71087` Chr`10` : `9,172,233`	0.001	0.999	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.001	0.999	0.000
rs82625 lBF = `0.00501582` Chr`10` : `115,756,130`	0.000	0.999	0.001
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.000
rs293314 lBF = `-0.0704161` Chr`10` : `53,242,703`	0.000	0.999	0.001
rs6601764 lBF = `-0.123264` Chr`10` : `3,862,542`	0.001	0.999	0.000
rs11203032 lBF = `0.0114789` Chr`10` : `90,964,614`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4897

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2836

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9877

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9837

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9819

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9804

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9740

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9677

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9654

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9634

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9571

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9569

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9539

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9486

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9465

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9431

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9423

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9388

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9379

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9354

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9335

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9290

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9270

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9143

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9083

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9021

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8804

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8777

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8763

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8729

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8664

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8627

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8588

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8545

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8526

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8483

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8280

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8236

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8136

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8106

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8076

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8035

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8013

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7983

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7904

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7846

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7796

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7783

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7596

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7513

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7495

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7440

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7318

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7288

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7265

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7210

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7128

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7093

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6663

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6657

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6652

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6579

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6337

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6332

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6261

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6240

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6185

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6022

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5995

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5989

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5752

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5695

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5559

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5547

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5529

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5474

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5474

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5473

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5400

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5347

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5347

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5336

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5322

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5276

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5240

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5145

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5056

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5031

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4892

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4889

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4692

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4649

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4441

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4366

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4324

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4311

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4251

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4178

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4111

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3478

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3446

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3376

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3085

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3035

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3012

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2890

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2850

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2444

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2376

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2304

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2283

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2260

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2246

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2148

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2076

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1949

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1942

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1913

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1726

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1655

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1652

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1282

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1242

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1210

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1121

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0932

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0928

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0871

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0790

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0783

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0777

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0750

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0722

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0654

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0593

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0571

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0524

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0517

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`)