TreeWAS – [K08.2] Atrophy of edentulous alveolar ridge

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
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.698	0.302	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.691	0.309	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.680	0.320	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.675	0.325	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.656	0.343	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.640	0.360	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.624	0.375	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.615	0.385	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.583	0.417	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.581	0.419	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.577	0.423	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.571	0.429	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.569	0.431	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.559	0.441	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.533	0.467	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.531	0.469	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.529	0.471	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.517	0.483	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.505	0.495	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.500	0.500	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.496	0.504	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.490	0.510	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.485	0.515	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.483	0.517	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.481	0.519	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.462	0.538	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.460	0.540	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.459	0.541	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.430	0.570	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.428	0.571	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.428	0.572	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.427	0.573	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.425	0.575	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.423	0.577	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.421	0.579	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.408	0.592	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.390	0.610	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.388	0.611	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.383	0.617	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.380	0.620	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.378	0.622	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.375	0.624	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.363	0.637	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.358	0.641	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.358	0.642	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.354	0.646	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.353	0.647	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.345	0.655	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.340	0.660	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.327	0.673	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.324	0.675	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.320	0.680	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.317	0.682	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.305	0.694	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.305	0.695	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.296	0.703	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.293	0.706	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.291	0.708	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.290	0.710	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.284	0.716	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.283	0.717	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.276	0.724	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.272	0.728	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.267	0.733	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.262	0.737	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.258	0.742	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.257	0.743	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.245	0.755	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.243	0.757	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.242	0.758	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.232	0.767	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.228	0.771	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.226	0.774	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.212	0.787	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.211	0.788	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.210	0.790	0.001
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.204	0.795	0.001
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.203	0.797	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.198	0.802	0.001
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.195	0.805	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.194	0.805	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.194	0.806	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.194	0.806	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.181	0.819	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.179	0.821	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.173	0.827	0.001
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.145	0.854	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.140	0.860	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.138	0.861	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.136	0.862	0.002
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.137	0.862	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.135	0.865	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.134	0.866	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.132	0.867	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.129	0.870	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.126	0.874	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.124	0.876	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.121	0.878	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.121	0.879	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.114	0.886	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.112	0.888	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.888	0.112
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.110	0.889	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.110	0.890	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.107	0.893	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.102	0.896	0.001
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.103	0.897	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.102	0.898	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.098	0.901	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.097	0.903	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.092	0.908	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.091	0.908	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.091	0.909	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.088	0.912	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.088	0.912	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.086	0.914	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.082	0.917	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.081	0.919	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.077	0.923	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.072	0.928	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.071	0.929	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.067	0.932	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.066	0.934	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.062	0.938	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.062	0.938	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.060	0.940	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.057	0.943	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.004	0.947	0.049
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.051	0.949	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.949	0.051
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.049	0.951	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.049	0.951	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.048	0.951	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.048	0.952	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.047	0.953	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	0.958	0.042
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.960	0.040
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.037	0.963	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.036	0.963	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.036	0.964	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.036	0.964	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.032	0.968	0.000
rs7900239 lBF = `0.0901211` Chr`10` : `80,515,081`	0.000	0.969	0.031
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.969	0.031
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.030	0.970	0.000
rs11256061 lBF = `10.9003` Chr`10` : `9,140,808`	0.000	0.975	0.025
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.975	0.025
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
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.022	0.978	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.021	0.979	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.000	0.979	0.020
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.020	0.980	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.020	0.980	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.018	0.981	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.017	0.983	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.016	0.983	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.015	0.984	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.015	0.985	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.014	0.985	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.013	0.986	0.001
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.013	0.987	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.012	0.987	0.001
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.013	0.987	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.013	0.987	0.000
rs2017305 lBF = `-0.0198916` Chr`10` : `70,712,062`	0.012	0.988	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.012	0.988	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.009	0.991	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.009	0.991	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.009	0.991	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.008	0.992	0.000
rs4290173 lBF = `7.24741` Chr`10` : `52,649,771`	0.000	0.992	0.008
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.008	0.992	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.007	0.993	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.007	0.993	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	0.993	0.007
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.005	0.994	0.001
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.006	0.994	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.006	0.994	0.000
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
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.005	0.995	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.005	0.995	0.000
rs2482109 lBF = `0.040235` Chr`10` : `18,525,170`	0.005	0.995	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.005	0.995	0.000
rs12246027 lBF = `-0.0524679` Chr`10` : `318,076`	0.000	0.995	0.005
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.005	0.995	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.995	0.005
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.995	0.005
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.005	0.995	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.004	0.995	0.000
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.004	0.996	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.004	0.996	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.004	0.996	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.004	0.996	0.000
rs2485376 lBF = `0.0715754` Chr`10` : `104,050,006`	0.004	0.996	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.004	0.996	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	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	0.001
rs706778 lBF = `17.4563` Chr`10` : `6,098,949`	0.001	0.999	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.000	0.999	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.001	0.999	0.000
rs17582416 lBF = `0.794082` Chr`10` : `35,287,650`	0.001	0.999	0.000
rs10998035 lBF = `0.487248` Chr`10` : `70,014,230`	0.001	0.999	0.000
rs11257188 lBF = `0.324656` Chr`10` : `6,237,156`	0.000	0.999	0.001
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.001	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	0.999	0.000
rs11239544 lBF = `17.2211` Chr`10` : `46,007,533`	0.001	0.999	0.000
Affx-35292641 lBF = `12.8673` Chr`10` : `45,958,881`	0.001	0.999	0.000
rs11010067 lBF = `0.829909` Chr`10` : `35,295,431`	0.001	0.999	0.000
rs1359582 lBF = `0.071932` Chr`10` : `90,330,483`	0.001	0.999	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.000
rs7069733 lBF = `1.97167` Chr`10` : `105,297,770`	0.000	0.999	0.001
rs10857636 lBF = `0.090408` Chr`10` : `49,985,110`	0.001	0.999	0.000
rs10826545 lBF = `-0.00330141` Chr`10` : `29,236,395`	0.001	0.999	0.000
rs6480463 lBF = `-0.0527356` Chr`10` : `72,517,837`	0.001	0.999	0.000
rs7908745 lBF = `12.9864` Chr`10` : `45,953,767`	0.001	0.999	0.000
rs45631630 lBF = `6.07045` Chr`10` : `123,340,824`	0.000	0.999	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.000	0.999	0.000
rs10509540 lBF = `0.160658` Chr`10` : `90,023,033`	0.000	0.999	0.001
rs1057910 lBF = `0.065632` Chr`10` : `96,741,053`	0.000	0.999	0.000
rs12098564 lBF = `-0.0022825` Chr`10` : `86,953,327`	0.000	0.999	0.000
rs2234978 lBF = `-0.00482002` Chr`10` : `90,771,829`	0.000	0.999	0.001
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.000	0.999	0.000
rs1679568 lBF = `-0.0510448` Chr`10` : `117,817,551`	0.000	0.999	0.001
rs12249012 lBF = `18.0876` Chr`10` : `45,992,470`	0.001	0.999	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.000	0.999	0.000
rs1250550 lBF = `0.32839` Chr`10` : `81,060,317`	0.000	0.999	0.001
rs12242110 lBF = `0.0744081` Chr`10` : `35,535,695`	0.001	0.999	0.000
rs10823607 lBF = `0.0203706` Chr`10` : `72,500,763`	0.001	0.999	0.000
rs17133587 lBF = `-0.0631607` Chr`10` : `4,809,075`	0.000	0.999	0.001
rs7097397 lBF = `-0.0865019` Chr`10` : `50,025,396`	0.000	0.999	0.001
rs2814331 lBF = `1.52895` Chr`10` : `87,993,341`	0.001	0.999	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.000	0.999	0.000
rs11252394 lBF = `0.147192` Chr`10` : `4,240,870`	0.000	0.999	0.000
rs1853207 lBF = `0.0578187` Chr`10` : `96,665,937`	0.000	0.999	0.000
rs11188352 lBF = `0.055683` Chr`10` : `97,301,004`	0.000	0.999	0.000
rs11254160 lBF = `-0.0499669` Chr`10` : `16,744,523`	0.000	0.999	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.000	0.999	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.000	0.999	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.000	0.999	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.001	0.999	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.000	0.999	0.001
rs34779708 lBF = `0.829891` Chr`10` : `35,466,185`	0.001	0.999	0.000
rs2068888 lBF = `0.0518042` Chr`10` : `94,839,642`	0.001	0.999	0.000
rs10509680 lBF = `0.0254315` Chr`10` : `96,734,339`	0.000	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	0.999	0.000
rs2506142 lBF = `-0.0454574` Chr`10` : `33,468,124`	0.000	0.999	0.000
rs7916852 lBF = `-0.0541427` Chr`10` : `28,405,411`	0.001	0.999	0.000
rs1953600 lBF = `3.82886` Chr`10` : `81,911,725`	0.001	0.999	0.000
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.000	0.999	0.000
rs12775535 lBF = `0.0778572` Chr`10` : `25,918,879`	0.000	0.999	0.000
rs7100689 lBF = `0.0440984` Chr`10` : `82,222,178`	0.001	0.999	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	0.999	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	0.999	0.000
rs224136 lBF = `-0.0397904` Chr`10` : `64,470,675`	0.000	0.999	0.000
rs1969821 lBF = `-0.0459679` Chr`10` : `89,415,148`	0.001	0.999	0.000
rs11259474 lBF = `-0.0500675` Chr`10` : `15,129,402`	0.001	0.999	0.000
rs3118470 lBF = `14.8132` Chr`10` : `6,101,713`	0.000	0.999	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.000	0.999	0.000
rs12780046 lBF = `1.06285` Chr`10` : `100,856,453`	0.000	0.999	0.000
rs2343306 lBF = `0.207264` Chr`10` : `82,230,146`	0.001	0.999	0.000
rs2506155 lBF = `0.178512` Chr`10` : `33,503,179`	0.001	0.999	0.000
rs17771318 lBF = `0.0721` Chr`10` : `49,911,357`	0.000	0.999	0.000
rs149613931 lBF = `0.0545058` Chr`10` : `103,550,281`	0.000	0.999	0.000
rs7086627 lBF = `0.0410154` Chr`10` : `82,220,597`	0.001	0.999	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	0.999	0.000
rs117352156 lBF = `0.0132881` Chr`10` : `29,246,205`	0.000	0.999	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	0.999	0.000
rs10906824 lBF = `-0.00668787` Chr`10` : `15,128,969`	0.000	0.999	0.000
rs7897969 lBF = `-0.00870104` Chr`10` : `125,929,799`	0.000	0.999	0.000
rs72786268 lBF = `-0.0208388` Chr`10` : `25,770,025`	0.000	0.999	0.000
rs740363 lBF = `-0.108628` Chr`10` : `118,575,606`	0.000	0.999	0.001
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.000	0.999	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.000	0.999	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.000	0.999	0.000
rs7068966 lBF = `0.160024` Chr`10` : `12,277,992`	0.001	0.999	0.000
rs1993484 lBF = `0.13635` Chr`10` : `82,222,698`	0.001	0.999	0.000
rs1908345 lBF = `0.0361464` Chr`10` : `57,710,042`	0.000	0.999	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	0.999	0.000
rs16916041 lBF = `0.0100045` Chr`10` : `63,146,547`	0.000	0.999	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	0.999	0.000
rs577969 lBF = `-0.00850882` Chr`10` : `100,291,176`	0.000	0.999	0.000
rs10741243 lBF = `-0.0424437` Chr`10` : `132,947,962`	0.000	0.999	0.000
rs12767760 lBF = `-0.0429143` Chr`10` : `99,294,797`	0.000	0.999	0.000
rs1779876 lBF = `-0.046799` Chr`10` : `36,648,040`	0.000	0.999	0.000
rs1775715 lBF = `-0.119488` Chr`10` : `32,309,005`	0.001	0.999	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.000	0.999	0.000
rs115536975 lBF = `0.316714` Chr`10` : `128,771,834`	0.000	0.999	0.000
rs34014631 lBF = `0.0705175` Chr`10` : `103,698,705`	0.000	0.999	0.000
rs7098414 lBF = `0.0540432` Chr`10` : `82,214,586`	0.000	0.999	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.000	0.999	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.000	0.999	0.000
rs79193624 lBF = `-0.00608204` Chr`10` : `64,000,336`	0.000	0.999	0.000
rs11005694 lBF = `-0.00711543` Chr`10` : `58,974,808`	0.000	0.999	0.000
rs17625382 lBF = `-0.0536618` Chr`10` : `59,572,708`	0.000	0.999	0.000
rs2297644 lBF = `-0.0795471` Chr`10` : `99,359,739`	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 X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9738

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9260

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8769

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8716

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8638

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8619

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8582

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8548

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8455

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8372

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8170

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8167

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8152

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8146

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8129

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7997

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7958

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7882

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7823

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7782

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7705

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7671

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7659

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7652

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7162

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7160

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7123

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7121

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7114

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7049

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7028

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6936

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6896

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6875

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6842

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6766

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6615

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6485

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6462

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6460

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6442

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6403

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6389

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6357

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6235

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6075

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6050

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6001

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5972

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5931

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5898

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5847

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5798

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5757

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5754

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5705

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5639

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5632

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5628

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5603

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5602

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5597

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5487

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5317

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5286

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5205

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5182

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5158

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5157

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5107

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5091

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5045

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4802

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4771

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4757

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4754

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4576

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4555

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4496

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4472

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4446

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4410

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4381

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4309

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4292

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4143

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4113

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4049

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4012

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3976

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3711

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3367

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3173

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3055

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3038

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2943

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2867

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2805

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2791

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2753

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2737

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2625

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2467

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2438

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2434

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2283

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2096

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2034

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2026

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1914

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1889

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1785

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1720

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1668

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1535

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1469

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1354

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1322

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1227

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1180

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1102

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1084

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1082

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1078

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1049

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1016

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1004

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0794

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0673

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`)