TreeWAS – [K03.0] Excessive attrition of teeth

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
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.514	0.486	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.512	0.488	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.508	0.492	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.504	0.496	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.504	0.496	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.499	0.501	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.495	0.505	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.487	0.513	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.486	0.514	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.481	0.518	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.479	0.520	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.479	0.521	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.479	0.521	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.478	0.522	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.478	0.522	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.475	0.525	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.473	0.527	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.472	0.528	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.468	0.531	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.468	0.532	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.464	0.536	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.461	0.538	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.458	0.541	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.454	0.546	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.453	0.547	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.451	0.549	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.451	0.549	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.451	0.549	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.448	0.551	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.446	0.554	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.443	0.556	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.442	0.558	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.430	0.570	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.418	0.581	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.414	0.586	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.412	0.588	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.411	0.589	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.409	0.590	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.409	0.591	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.406	0.594	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.403	0.596	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.399	0.600	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.396	0.604	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.392	0.608	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.385	0.614	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.377	0.622	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.372	0.628	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.368	0.632	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.360	0.640	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.360	0.640	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.355	0.645	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.353	0.646	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.346	0.653	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.338	0.662	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.336	0.664	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.334	0.666	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.332	0.668	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.329	0.670	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.328	0.672	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.324	0.675	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.318	0.681	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.314	0.686	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.314	0.686	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.310	0.690	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.309	0.691	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.307	0.693	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.305	0.695	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.304	0.695	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.301	0.699	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.296	0.703	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.290	0.710	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.289	0.710	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.287	0.712	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.284	0.716	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.283	0.716	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.280	0.720	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.276	0.724	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.274	0.725	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.271	0.728	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.270	0.729	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.267	0.732	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.249	0.750	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.245	0.755	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.241	0.759	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.761	0.239
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.219	0.780	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.217	0.783	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.210	0.790	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.805	0.194
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.808	0.192
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.191	0.809	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.185	0.814	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.178	0.822	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.176	0.823	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.173	0.826	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.171	0.829	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.169	0.831	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.167	0.833	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.164	0.835	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.163	0.836	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.157	0.843	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.845	0.154
rs7900239 lBF = `0.0901211` Chr`10` : `80,515,081`	0.000	0.848	0.151
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.144	0.856	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.144	0.856	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.138	0.862	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.137	0.863	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.130	0.870	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.129	0.870	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.117	0.883	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.115	0.884	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.115	0.885	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.115	0.885	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.889	0.111
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.108	0.891	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.106	0.892	0.002
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.104	0.896	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.098	0.901	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.098	0.901	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.098	0.902	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.092	0.908	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.087	0.912	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.082	0.918	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.079	0.921	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.076	0.924	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.072	0.927	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.072	0.928	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.070	0.929	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.062	0.938	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.059	0.941	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.058	0.942	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.058	0.942	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.023	0.944	0.033
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.056	0.944	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.054	0.946	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.054	0.946	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.048	0.952	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.046	0.954	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.044	0.956	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.043	0.957	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.959	0.041
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.040	0.960	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.039	0.961	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.038	0.961	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.038	0.962	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.038	0.962	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.033	0.967	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.031	0.969	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.027	0.973	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.024	0.976	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.023	0.977	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.023	0.977	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.023	0.977	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.022	0.978	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.021	0.979	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.019	0.981	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.018	0.981	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.018	0.981	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.018	0.982	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.016	0.984	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.015	0.985	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.014	0.986	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.014	0.986	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.014	0.986	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.013	0.986	0.001
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.012	0.987	0.001
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.001	0.988	0.011
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.010	0.989	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.010	0.990	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.009	0.990	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.008	0.991	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.008	0.991	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.008	0.992	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.008	0.992	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.007	0.992	0.001
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.007	0.992	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.007	0.992	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.007	0.993	0.000
rs2017305 lBF = `-0.0198916` Chr`10` : `70,712,062`	0.006	0.994	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.006	0.994	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.006	0.994	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.006	0.994	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.006	0.994	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.006	0.994	0.000
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.005	0.994	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	0.994	0.005
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.005	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.995	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.995	0.005
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.005	0.995	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.995	0.005
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.005	0.995	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.005	0.995	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.004	0.995	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.004	0.995	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.004	0.995	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.004	0.996	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.004	0.996	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.004	0.996	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.004	0.996	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.004	0.996	0.000
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rs1870634 lBF = `20.7748` Chr`10` : `44,480,811`	0.000	0.999	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.000	0.999	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.000	0.999	0.000
rs10128264 lBF = `5.27861` Chr`10` : `80,959,973`	0.000	0.999	0.000
rs12779790 lBF = `4.16901` Chr`10` : `12,328,010`	0.000	0.999	0.000
rs2814021 lBF = `3.26609` Chr`10` : `63,361,987`	0.000	0.999	0.000
rs10905868 lBF = `2.76174` Chr`10` : `10,974,256`	0.000	0.999	0.000
rs2675609 lBF = `0.745021` Chr`10` : `63,636,531`	0.000	0.999	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.000	0.999	0.000
rs11006280 lBF = `0.0951945` Chr`10` : `60,615,095`	0.000	0.999	0.000
rs12775535 lBF = `0.0778572` Chr`10` : `25,918,879`	0.000	0.999	0.000
rs1057910 lBF = `0.065632` Chr`10` : `96,741,053`	0.000	0.999	0.000
rs1223629 lBF = `0.0390517` Chr`10` : `95,906,315`	0.000	0.999	0.000
rs79193624 lBF = `-0.00608204` Chr`10` : `64,000,336`	0.000	0.999	0.000
rs577969 lBF = `-0.00850882` Chr`10` : `100,291,176`	0.000	0.999	0.000
rs10904363 lBF = `-0.0105264` Chr`10` : `4,920,413`	0.000	0.999	0.000
rs17143387 lBF = `-0.0350594` Chr`10` : `8,314,044`	0.000	0.999	0.000
rs17267338 lBF = `-0.0360097` Chr`10` : `114,388,272`	0.000	0.999	0.000
rs2763339 lBF = `-0.0501598` Chr`10` : `71,689,645`	0.000	0.999	0.000
rs2165953 lBF = `-0.0585411` Chr`10` : `4,716,542`	0.000	0.999	0.000
rs751008 lBF = `-0.126134` Chr`10` : `129,142,417`	0.000	0.999	0.000
rs7081062 lBF = `20.8817` Chr`10` : `114,740,745`	0.000	0.999	0.000
rs11239550 lBF = `11.2335` Chr`10` : `46,024,729`	0.000	0.999	0.000
rs10508881 lBF = `3.87984` Chr`10` : `44,541,565`	0.000	0.999	0.000
rs7078219 lBF = `3.63934` Chr`10` : `101,274,365`	0.000	0.999	0.000
rs11190134 lBF = `3.4476` Chr`10` : `101,282,200`	0.000	0.999	0.000
rs11190141 lBF = `3.32864` Chr`10` : `101,292,390`	0.000	0.999	0.000
rs705162 lBF = `3.13668` Chr`10` : `125,251,675`	0.000	0.999	0.000
rs7072574 lBF = `1.3795` Chr`10` : `96,036,306`	0.000	0.999	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.000	0.999	0.000
rs10762651 lBF = `0.860895` Chr`10` : `76,822,117`	0.000	0.999	0.000
rs1853207 lBF = `0.0578187` Chr`10` : `96,665,937`	0.000	0.999	0.000
rs7098414 lBF = `0.0540432` Chr`10` : `82,214,586`	0.000	0.999	0.000
rs2797501 lBF = `0.0188912` Chr`10` : `5,804,531`	0.000	0.999	0.000
rs7894407 lBF = `0.0168226` Chr`10` : `105,176,179`	0.000	0.999	0.000
rs3814219 lBF = `0.00811527` Chr`10` : `105,647,095`	0.000	0.999	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	0.999	0.000
rs10786764 lBF = `-0.023755` Chr`10` : `83,677,486`	0.000	0.999	0.000
rs4751058 lBF = `-0.0358966` Chr`10` : `130,874,125`	0.000	0.999	0.000
rs10491003 lBF = `-0.0366848` Chr`10` : `9,328,651`	0.000	0.999	0.000
rs10887741 lBF = `-0.0434528` Chr`10` : `89,443,310`	0.000	0.999	0.000
rs2801405 lBF = `-0.0559092` Chr`10` : `100,583,915`	0.000	0.999	0.000
rs1108131 lBF = `-0.0709582` Chr`10` : `12,497,747`	0.000	0.999	0.000
rs1014246 lBF = `-0.0747969` Chr`10` : `118,466,042`	0.000	0.999	0.000
rs2297644 lBF = `-0.0795471` Chr`10` : `99,359,739`	0.000	0.999	0.000
rs718948 lBF = `-0.0921546` Chr`10` : `126,739,338`	0.000	0.999	0.000
rs869244 lBF = `-0.0955008` Chr`10` : `112,909,105`	0.000	0.999	0.000
rs6479779 lBF = `-0.106917` Chr`10` : `63,695,048`	0.000	0.999	0.000
rs12772424 lBF = `-0.110845` Chr`10` : `114,880,551`	0.000	0.999	0.000
rs10509373 lBF = `-0.110846` Chr`10` : `78,157,572`	0.000	0.999	0.000
Affx-35292641 lBF = `12.8673` Chr`10` : `45,958,881`	0.000	0.999	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.000	0.999	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.000	0.999	0.000
rs2047009 lBF = `10.3414` Chr`10` : `44,539,913`	0.000	0.999	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.000	0.999	0.000
rs2250644 lBF = `6.52988` Chr`10` : `91,008,879`	0.000	0.999	0.000
rs2246833 lBF = `6.27332` Chr`10` : `91,005,854`	0.000	0.999	0.000
rs1332329 lBF = `3.73235` Chr`10` : `91,003,419`	0.000	0.999	0.000
rs2489715 lBF = `2.43101` Chr`10` : `42,917,476`	0.000	0.999	0.000
rs2505083 lBF = `1.47494` Chr`10` : `30,335,122`	0.000	0.999	0.000
rs1896376 lBF = `0.587607` Chr`10` : `125,515,829`	0.000	0.999	0.000
rs444929 lBF = `0.535489` Chr`10` : `8,110,024`	0.000	0.999	0.000
rs1874984 lBF = `0.366284` Chr`10` : `1,731,871`	0.000	0.999	0.000
rs74383458 lBF = `0.301977` Chr`10` : `134,221,545`	0.000	0.999	0.000
rs2343306 lBF = `0.207264` Chr`10` : `82,230,146`	0.000	0.999	0.000
rs1993484 lBF = `0.13635` Chr`10` : `82,222,698`	0.000	0.999	0.000
rs2812533 lBF = `0.110472` Chr`10` : `71,452,285`	0.000	0.999	0.000
rs10764775 lBF = `0.0593899` Chr`10` : `130,233,808`	0.000	0.999	0.000
rs10458787 lBF = `0.0502304` Chr`10` : `4,655,565`	0.000	0.999	0.000
rs7086627 lBF = `0.0410154` Chr`10` : `82,220,597`	0.000	0.999	0.000
rs11006002 lBF = `0.0369676` Chr`10` : `59,758,643`	0.000	0.999	0.000
rs7097656 lBF = `0.0295606` Chr`10` : `82,250,831`	0.000	0.999	0.000
rs7910643 lBF = `0.028608` Chr`10` : `82,251,769`	0.000	0.999	0.000
rs10509680 lBF = `0.0254315` Chr`10` : `96,734,339`	0.000	0.999	0.000
rs2804497 lBF = `0.0139986` Chr`10` : `33,616,037`	0.000	0.999	0.000
rs7899719 lBF = `-0.0116649` Chr`10` : `77,448,435`	0.000	0.999	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	0.999	0.000
rs2359536 lBF = `-0.014323` Chr`10` : `20,899,608`	0.000	0.999	0.000
rs11596483 lBF = `-0.0161502` Chr`10` : `124,037,599`	0.000	0.999	0.000
rs10788251 lBF = `-0.0162606` Chr`10` : `123,901,964`	0.000	0.999	0.000
rs10825741 lBF = `-0.0221788` Chr`10` : `57,832,152`	0.000	0.999	0.000
rs1329650 lBF = `-0.0511447` Chr`10` : `93,348,120`	0.000	0.999	0.000
rs12246027 lBF = `-0.0524679` Chr`10` : `318,076`	0.000	0.999	0.000
rs7916852 lBF = `-0.0541427` Chr`10` : `28,405,411`	0.000	0.999	0.000
rs12764197 lBF = `-0.057518` Chr`10` : `26,484,154`	0.000	0.999	0.000
rs2277212 lBF = `-0.0719808` Chr`10` : `11,299,735`	0.000	0.999	0.000
rs11594258 lBF = `-0.0838238` Chr`10` : `79,218,030`	0.000	0.999	0.000
rs1926203 lBF = `-0.103371` Chr`10` : `90,727,334`	0.000	0.999	0.000
rs4142041 lBF = `-0.106222` Chr`10` : `68,640,951`	0.000	0.999	0.000
rs7476422 lBF = `-0.113678` Chr`10` : `56,204,291`	0.000	0.999	0.000
rs12413624 lBF = `-0.117163` Chr`10` : `120,278,944`	0.000	0.999	0.000
rs10787472 lBF = `53.278` Chr`10` : `114,781,297`	0.000	0.999	0.000
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.000	0.999	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.000	0.999	0.000
rs2388896 lBF = `14.2296` Chr`10` : `8,954,224`	0.000	0.999	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.000	0.999	0.000
rs1412444 lBF = `6.44557` Chr`10` : `91,002,927`	0.000	0.999	0.000
rs12770171 lBF = `5.87995` Chr`10` : `51,549,314`	0.000	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5941

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5140

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5140

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5140

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5140

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5140

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5140

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5140

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5140

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5140

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5140

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5140

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5140

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5140

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5140

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5140

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5140

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5140

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5140

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5139

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5139

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5139

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5139

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5139

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5139

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5139

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5139

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5139

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5138

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5138

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5138

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5138

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5137

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5137

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5137

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5135

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5135

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5135

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5133

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5132

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5131

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5130

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5128

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5128

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5128

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5127

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5127

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5124

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5124

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5124

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5122

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5118

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5118

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5117

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5117

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5114

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5112

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5108

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5100

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5086

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5085

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5075

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5069

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5068

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5061

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.5052

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5036

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5022

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5021

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5009

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4993

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4950

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4941

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4924

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4914

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4910

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4910

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4890

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4816

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4657

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4623

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4579

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4369

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4161

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3965

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3957

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3643

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3564

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3465

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3371

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3024

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2632

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2449

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1930

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1775

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1401

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1023

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0943

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0935

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0720

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`)