TreeWAS – [K12] Stomatitis and related lesions

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K12

Stomatitis and related lesions

Parent term	K00-K14 Diseases of oral cavity, salivary glands and jaws
Nested terms	K12.0 Recurrent oral aphthae K12.1 Other forms of stomatitis K12.2 Cellulitis and abscess of mouth K12.3 Oral mucositis (ulcerative)

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Variant effects

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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
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.928	0.072	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.854	0.146	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.846	0.154	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.813	0.187	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.802	0.198	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.788	0.212	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.770	0.229	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.750	0.250	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.747	0.253	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.738	0.262	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.734	0.266	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.733	0.267	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.712	0.288	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.704	0.296	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.702	0.298	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.702	0.298	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.699	0.301	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.690	0.310	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.687	0.313	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.675	0.325	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.674	0.326	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.670	0.330	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.668	0.332	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.662	0.337	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.656	0.344	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.647	0.353	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.646	0.354	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.642	0.358	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.628	0.372	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.627	0.373	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.627	0.373	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.618	0.382	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.612	0.388	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.609	0.391	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.603	0.397	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.602	0.397	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.600	0.399	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.592	0.408	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.584	0.416	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.580	0.420	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.571	0.429	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.566	0.434	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.561	0.438	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.559	0.441	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.557	0.443	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.555	0.445	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.548	0.452	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.540	0.460	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.536	0.464	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.524	0.476	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.519	0.481	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.513	0.487	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.509	0.491	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.502	0.497	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.500	0.500	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.499	0.501	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.495	0.505	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.493	0.507	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.489	0.511	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.483	0.517	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.481	0.519	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.479	0.520	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.472	0.528	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.463	0.537	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.452	0.548	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.431	0.569	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.429	0.571	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.423	0.577	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.419	0.581	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.417	0.583	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.414	0.586	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.413	0.587	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.406	0.594	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.403	0.596	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.395	0.604	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.392	0.608	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.390	0.610	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.379	0.621	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.377	0.623	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.634	0.366
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.341	0.659	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.336	0.664	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.320	0.680	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.314	0.685	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.312	0.688	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.298	0.702	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.298	0.702	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.294	0.706	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.291	0.709	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.711	0.289
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.269	0.731	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.268	0.732	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.262	0.738	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.258	0.742	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.258	0.742	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.246	0.754	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.242	0.758	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.760	0.240
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.238	0.762	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.237	0.763	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.226	0.774	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.777	0.223
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.217	0.783	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.209	0.791	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.190	0.809	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.180	0.820	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.179	0.821	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.171	0.829	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.168	0.832	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.162	0.838	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.162	0.838	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.154	0.846	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.849	0.151
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.148	0.852	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.145	0.855	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.144	0.856	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.141	0.859	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.139	0.861	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.131	0.867	0.003
rs7900239 lBF = `0.0901211` Chr`10` : `80,515,081`	0.000	0.869	0.131
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.129	0.871	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.127	0.873	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.125	0.875	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.119	0.881	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.112	0.888	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.100	0.900	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.098	0.902	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.095	0.905	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.086	0.914	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.081	0.919	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.081	0.919	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.079	0.921	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.079	0.921	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.077	0.922	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.017	0.926	0.057
rs2227551 lBF = `0.324915` Chr`10` : `75,669,190`	0.070	0.930	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.066	0.934	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.064	0.936	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.063	0.937	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.063	0.937	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.063	0.937	0.000
rs2675662 lBF = `0.639478` Chr`10` : `75,599,127`	0.000	0.940	0.060
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.057	0.943	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.057	0.943	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.944	0.056
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.053	0.947	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.053	0.947	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.051	0.949	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.049	0.951	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.046	0.953	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.037	0.963	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.036	0.964	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.032	0.968	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.032	0.968	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.031	0.969	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.030	0.970	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.027	0.973	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.027	0.973	0.000
rs2227564 lBF = `0.506316` Chr`10` : `75,673,101`	0.026	0.974	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.025	0.975	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.024	0.976	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.023	0.977	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.022	0.977	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.020	0.979	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.020	0.979	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.018	0.981	0.001
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.000	0.981	0.018
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.018	0.982	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.017	0.982	0.001
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.017	0.983	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.017	0.983	0.000
rs7922314 lBF = `0.0805566` Chr`10` : `64,538,279`	0.000	0.984	0.016
rs2688608 lBF = `1.28045` Chr`10` : `75,658,349`	0.016	0.984	0.000
rs7094971 lBF = `0.0250246` Chr`10` : `61,449,564`	0.000	0.985	0.015
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.015	0.985	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.014	0.986	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.013	0.987	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.011	0.989	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.010	0.989	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.010	0.990	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.009	0.991	0.000
rs4406737 lBF = `0.00642288` Chr`10` : `90,759,724`	0.000	0.991	0.009
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.009	0.991	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.008	0.991	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.008	0.992	0.000
rs1412115 lBF = `-0.0884655` Chr`10` : `34,088,053`	0.008	0.992	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.008	0.992	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.008	0.992	0.000
rs2675669 lBF = `1.78655` Chr`10` : `75,653,872`	0.007	0.993	0.000
rs2017305 lBF = `-0.0198916` Chr`10` : `70,712,062`	0.007	0.993	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.007	0.993	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.007	0.993	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.007	0.993	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.007	0.993	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.007	0.993	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.993	0.007
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.006	0.993	0.001
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.993	0.006
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rs11816631 lBF = `-0.0418204` Chr`10` : `99,562,572`	0.000	0.999	0.001
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.000	0.999	0.000
rs11011653 lBF = `-0.0812518` Chr`10` : `20,163,993`	0.001	0.999	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.001	0.999	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.000	0.999	0.000
rs975752 lBF = `0.361723` Chr`10` : `101,906,333`	0.001	0.999	0.000
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.000	0.999	0.000
rs4634985 lBF = `-0.0492037` Chr`10` : `20,434,780`	0.000	0.999	0.001
rs655766 lBF = `-0.076361` Chr`10` : `28,977,010`	0.000	0.999	0.001
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.000	0.999	0.000
rs3135758 lBF = `1.81643` Chr`10` : `123,277,869`	0.001	0.999	0.000
rs10736877 lBF = `-0.090778` Chr`10` : `128,373,707`	0.000	0.999	0.001
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.000	0.999	0.000
rs10857636 lBF = `0.090408` Chr`10` : `49,985,110`	0.000	0.999	0.000
rs2901286 lBF = `0.0394912` Chr`10` : `122,900,623`	0.000	0.999	0.000
rs603424 lBF = `0.0330796` Chr`10` : `102,075,479`	0.001	0.999	0.000
rs10491003 lBF = `-0.0366848` Chr`10` : `9,328,651`	0.000	0.999	0.001
rs10741243 lBF = `-0.0424437` Chr`10` : `132,947,962`	0.000	0.999	0.000
rs17133587 lBF = `-0.0631607` Chr`10` : `4,809,075`	0.000	0.999	0.001
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.001	0.999	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.000	0.999	0.000
rs10508517 lBF = `0.0445313` Chr`10` : `16,997,891`	0.000	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	0.999	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.000
rs12098564 lBF = `-0.0022825` Chr`10` : `86,953,327`	0.000	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	0.999	0.000
rs266095 lBF = `-0.0382071` Chr`10` : `44,864,168`	0.000	0.999	0.000
rs11185790 lBF = `-0.0604991` Chr`10` : `91,372,533`	0.000	0.999	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.000	0.999	0.000
rs16906252 lBF = `0.0184842` Chr`10` : `131,265,545`	0.000	0.999	0.000
rs1536827 lBF = `0.00330861` Chr`10` : `135,306,158`	0.000	0.999	0.000
rs1148186 lBF = `-0.0871617` Chr`10` : `28,617,635`	0.000	0.999	0.000
rs4749884 lBF = `-0.0924866` Chr`10` : `9,644,800`	0.000	0.999	0.000
rs10786662 lBF = `0.0327981` Chr`10` : `103,989,812`	0.000	1.000	0.000
rs17143387 lBF = `-0.0350594` Chr`10` : `8,314,044`	0.000	1.000	0.000
rs703980 lBF = `9.6184` Chr`10` : `80,943,841`	0.000	1.000	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.000	1.000	0.000
rs1913517 lBF = `0.0142305` Chr`10` : `50,119,054`	0.000	1.000	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	1.000	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.000	1.000	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	1.000	0.000
rs7097397 lBF = `-0.0865019` Chr`10` : `50,025,396`	0.000	1.000	0.000
rs1870634 lBF = `20.7748` Chr`10` : `44,480,811`	0.000	1.000	0.000
rs71508903 lBF = `11.3778` Chr`10` : `63,779,871`	0.000	1.000	0.000
rs1623646 lBF = `10.7576` Chr`10` : `9,076,230`	0.000	1.000	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.000	1.000	0.000
rs2223089 lBF = `0.0421288` Chr`10` : `124,210,160`	0.000	1.000	0.000
rs12570947 lBF = `-0.0138211` Chr`10` : `109,569,850`	0.000	1.000	0.000
rs3849150 lBF = `-0.0380903` Chr`10` : `50,109,223`	0.000	1.000	0.000
rs12571751 lBF = `9.8145` Chr`10` : `80,942,631`	0.000	1.000	0.000
rs1953600 lBF = `3.82886` Chr`10` : `81,911,725`	0.000	1.000	0.000
rs3824662 lBF = `2.38261` Chr`10` : `8,104,208`	0.000	1.000	0.000
rs11595500 lBF = `1.70863` Chr`10` : `2,861,078`	0.000	1.000	0.000
rs7077335 lBF = `0.00301948` Chr`10` : `6,315,794`	0.000	1.000	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	1.000	0.000
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.000	1.000	0.000
rs12571194 lBF = `-0.0426034` Chr`10` : `129,962,572`	0.000	1.000	0.000
rs2456778 lBF = `-0.0490708` Chr`10` : `62,551,890`	0.000	1.000	0.000
rs17621444 lBF = `-0.0519312` Chr`10` : `121,821,538`	0.000	1.000	0.000
rs2043090 lBF = `-0.0547862` Chr`10` : `77,298,609`	0.000	1.000	0.000
rs17515642 lBF = `-0.0621293` Chr`10` : `9,568,910`	0.000	1.000	0.000
rs11006002 lBF = `0.0369676` Chr`10` : `59,758,643`	0.000	1.000	0.000
rs12355688 lBF = `-0.00142579` Chr`10` : `81,055,626`	0.000	1.000	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	1.000	0.000
rs10906824 lBF = `-0.00668787` Chr`10` : `15,128,969`	0.000	1.000	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	1.000	0.000
rs1360573 lBF = `-0.0431414` Chr`10` : `36,885,921`	0.000	1.000	0.000
rs2065779 lBF = `-0.0725615` Chr`10` : `112,877,801`	0.000	1.000	0.000
rs61847307 lBF = `-0.0728197` Chr`10` : `53,944,442`	0.000	1.000	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.000	1.000	0.000
rs2787702 lBF = `0.203332` Chr`10` : `63,307,475`	0.000	1.000	0.000
rs1625975 lBF = `0.0581198` Chr`10` : `73,422,284`	0.000	1.000	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	1.000	0.000
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.000	1.000	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	1.000	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.000	1.000	0.000
rs10904363 lBF = `-0.0105264` Chr`10` : `4,920,413`	0.000	1.000	0.000
rs11195062 lBF = `-0.0734054` Chr`10` : `112,036,975`	0.000	1.000	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.000	1.000	0.000
rs17771318 lBF = `0.0721` Chr`10` : `49,911,357`	0.000	1.000	0.000
rs1223629 lBF = `0.0390517` Chr`10` : `95,906,315`	0.000	1.000	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	1.000	0.000
rs1171615 lBF = `-0.00456242` Chr`10` : `61,469,090`	0.000	1.000	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	1.000	0.000
rs12219125 lBF = `-0.00681588` Chr`10` : `20,593,087`	0.000	1.000	0.000
rs149930776 lBF = `-0.0147402` Chr`10` : `14,856,667`	0.000	1.000	0.000
rs2799573 lBF = `-0.0418406` Chr`10` : `18,601,928`	0.000	1.000	0.000
rs181500 lBF = `-0.113449` Chr`10` : `119,181,871`	0.000	1.000	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.000	1.000	0.000
rs6602175 lBF = `0.16869` Chr`10` : `17,142,526`	0.000	1.000	0.000
rs4751185 lBF = `0.137353` Chr`10` : `132,056,415`	0.000	1.000	0.000
rs1171616 lBF = `0.0197039` Chr`10` : `61,468,589`	0.000	1.000	0.000
rs4387258 lBF = `0.0101686` Chr`10` : `29,487,365`	0.000	1.000	0.000
rs12358815 lBF = `-0.00646593` Chr`10` : `83,668,325`	0.000	1.000	0.000
rs583012 lBF = `-0.00901107` Chr`10` : `55,294,874`	0.000	1.000	0.000
rs1171614 lBF = `-0.0141841` Chr`10` : `61,469,538`	0.000	1.000	0.000
rs72786268 lBF = `-0.0208388` Chr`10` : `25,770,025`	0.000	1.000	0.000
rs7916968 lBF = `-0.0278577` Chr`10` : `759,268`	0.000	1.000	0.000
rs80353807 lBF = `-0.0422571` Chr`10` : `64,319,539`	0.000	1.000	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9998

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9998

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9992

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9988

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9985

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9985

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9981

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9980

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9980

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9980

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9976

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9975

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9972

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9970

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9962

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9955

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9939

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9932

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9930

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9929

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9924

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9922

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9916

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9912

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9908

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9907

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9894

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9883

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9873

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9868

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9865

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9861

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9851

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9834

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9829

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9827

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9816

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9807

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9802

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9788

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9784

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9744

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9730

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9720

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9714

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9710

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9686

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9656

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9634

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9633

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9583

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9560

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9559

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9556

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9527

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9526

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9521

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9503

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9485

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9432

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9359

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9355

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9350

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9330

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9304

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9256

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9242

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9232

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9211

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9187

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9171

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9152

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9102

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9100

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9060

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9037

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9023

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9018

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8933

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8924

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8865

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8805

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8754

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8737

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8728

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8562

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8551

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8429

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8340

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8220

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8186

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7944

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7933

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7922

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7904

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7689

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7657

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7489

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7405

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7405

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7259

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7155

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7118

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7075

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7069

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7038

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6931

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6844

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6721

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6635

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6242

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6242

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6176

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6137

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5435

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5425

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5048

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4972

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4969

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4867

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4795

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4427

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4277

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4172

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3516

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3250

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3079

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2767

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2636

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2351

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2308

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1926

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1805

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1673

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1575

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1234

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0873

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0799

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0642

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0622

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0550

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0529

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)

Hospitalization Episode Statistics (`HES`)