TreeWAS – [K31.4] Gastric diverticulum

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
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.711	0.289	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.706	0.294	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.692	0.307	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.683	0.317	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.682	0.318	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.681	0.319	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.673	0.327	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.663	0.337	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.639	0.361	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.638	0.362	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.626	0.373	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.619	0.381	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.601	0.399	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.595	0.405	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.594	0.405	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.586	0.413	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.574	0.426	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.565	0.435	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.546	0.454	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.542	0.457	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.537	0.463	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.502	0.498	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.473	0.527	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.457	0.543	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.435	0.565	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.428	0.572	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.410	0.590	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.410	0.590	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.406	0.594	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.405	0.595	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.391	0.609	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.377	0.623	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.335	0.665	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.310	0.689	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.264	0.736	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.257	0.743	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.248	0.751	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.220	0.780	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.789	0.211
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.209	0.791	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.207	0.793	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.183	0.817	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.167	0.833	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.164	0.836	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.845	0.155
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.155	0.845	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.152	0.848	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.147	0.853	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.144	0.856	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.127	0.873	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.119	0.880	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.109	0.890	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.896	0.103
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.087	0.913	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.080	0.920	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.080	0.920	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.002	0.928	0.070
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.070	0.930	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.069	0.931	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.068	0.931	0.001
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.068	0.932	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.067	0.933	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.059	0.941	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.055	0.944	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.055	0.945	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.054	0.946	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.053	0.947	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.051	0.949	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.049	0.951	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.042	0.958	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.039	0.961	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.039	0.961	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.038	0.962	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.036	0.964	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.965	0.034
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.034	0.966	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.032	0.968	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.031	0.969	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.027	0.973	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.025	0.974	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.025	0.975	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.025	0.975	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.023	0.977	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.022	0.977	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.022	0.978	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.022	0.978	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.019	0.981	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.018	0.981	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.982	0.018
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.018	0.982	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.984	0.016
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.016	0.984	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.015	0.985	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.014	0.986	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.012	0.988	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.012	0.988	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.012	0.988	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.011	0.989	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.011	0.989	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.010	0.989	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.010	0.989	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.009	0.991	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.009	0.991	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.009	0.991	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.008	0.992	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.008	0.992	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.008	0.992	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.007	0.993	0.001
rs3740415 lBF = `0.868265` Chr`10` : `104,232,716`	0.007	0.993	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.007	0.993	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.006	0.993	0.000
rs3850699 lBF = `-0.0737919` Chr`10` : `104,414,221`	0.007	0.993	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.006	0.994	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.006	0.994	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.994	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	0.994	0.005
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.005	0.994	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.005	0.994	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.005	0.995	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.005	0.995	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.000	0.995	0.005
rs11191593 lBF = `14.7448` Chr`10` : `104,939,215`	0.000	0.995	0.005
rs2274351 lBF = `1.33227` Chr`10` : `104,264,107`	0.005	0.995	0.000
rs11191560 lBF = `14.7721` Chr`10` : `104,869,038`	0.000	0.995	0.005
rs10883832 lBF = `14.7721` Chr`10` : `104,871,279`	0.000	0.995	0.005
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.004	0.995	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.004	0.995	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.004	0.995	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.004	0.996	0.000
rs2147896 lBF = `-0.107845` Chr`10` : `100,148,176`	0.004	0.996	0.000
rs4539242 lBF = `-0.102124` Chr`10` : `100,148,058`	0.004	0.996	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.996	0.004
rs4488133 lBF = `-0.0876667` Chr`10` : `100,159,136`	0.004	0.996	0.000
rs7072216 lBF = `-0.0930109` Chr`10` : `100,156,853`	0.004	0.996	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.004	0.996	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.003	0.996	0.001
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.003	0.996	0.001
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.003	0.996	0.001
rs12413409 lBF = `12.3734` Chr`10` : `104,719,096`	0.000	0.996	0.004
rs139550538 lBF = `0.0321346` Chr`10` : `94,284,069`	0.004	0.996	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.003	0.996	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.003	0.996	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.996	0.003
rs732998 lBF = `14.6898` Chr`10` : `104,897,901`	0.000	0.997	0.003
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.003	0.997	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.003	0.997	0.000
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.003	0.997	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.003	0.997	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.003	0.997	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.003	0.997	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.003	0.997	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.003	0.997	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.003	0.997	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.003	0.997	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	0.997	0.003
rs11191454 lBF = `12.1105` Chr`10` : `104,660,004`	0.000	0.997	0.003
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.002	0.997	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.002	0.997	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.002	0.997	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.002	0.997	0.000
rs11191580 lBF = `15.9158` Chr`10` : `104,906,211`	0.000	0.997	0.002
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.002	0.997	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.002	0.998	0.000
rs6584202 lBF = `-0.0676378` Chr`10` : `100,170,383`	0.002	0.998	0.000
rs11191548 lBF = `14.6368` Chr`10` : `104,846,178`	0.000	0.998	0.002
rs4345897 lBF = `-0.0947357` Chr`10` : `100,147,060`	0.002	0.998	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.002	0.998	0.000
rs12770171 lBF = `5.87995` Chr`10` : `51,549,314`	0.000	0.998	0.002
rs1623646 lBF = `10.7576` Chr`10` : `9,076,230`	0.000	0.998	0.002
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.998	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.002	0.998	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.001	0.998	0.002
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.002	0.998	0.000
rs3943077 lBF = `0.168461` Chr`10` : `122,945,086`	0.002	0.998	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.998	0.002
rs1780436 lBF = `-0.0297036` Chr`10` : `34,257,612`	0.000	0.998	0.002
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.002	0.998	0.000
rs2506155 lBF = `0.178512` Chr`10` : `33,503,179`	0.000	0.998	0.002
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.002	0.998	0.000
rs9733352 lBF = `-0.0943421` Chr`10` : `128,777,390`	0.000	0.998	0.002
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.000	0.998	0.002
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.001	0.998	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.001	0.998	0.000
rs28643277 lBF = `-0.102071` Chr`10` : `15,600,671`	0.002	0.998	0.000
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.001	0.998	0.000
rs1676712 lBF = `-0.0344275` Chr`10` : `127,836,840`	0.002	0.998	0.000
rs588517 lBF = `0.0681529` Chr`10` : `83,153,246`	0.001	0.998	0.000
rs938036 lBF = `-0.00877572` Chr`10` : `65,658,744`	0.001	0.998	0.000
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.998	0.000
rs1245582 lBF = `1.48544` Chr`10` : `73,778,267`	0.001	0.998	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.001	0.999	0.000
rs12773846 lBF = `0.0502371` Chr`10` : `126,275,914`	0.001	0.999	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.001	0.999	0.000
rs2069036 lBF = `-0.0647022` Chr`10` : `16,116,747`	0.001	0.999	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.001	0.999	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.001	0.999	0.000
rs7098187 lBF = `0.00081847` Chr`10` : `15,538,383`	0.001	0.999	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.001	0.999	0.000
rs1397615 lBF = `0.00025863` Chr`10` : `120,966,339`	0.001	0.999	0.000
rs2862614 lBF = `5.02918` Chr`10` : `101,190,520`	0.001	0.999	0.000
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rs7922491 lBF = `0.0456084` Chr`10` : `53,493,473`	0.000	0.999	0.000
rs7085104 lBF = `0.0395616` Chr`10` : `104,628,873`	0.000	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.000
rs72806511 lBF = `-0.00577325` Chr`10` : `60,701,000`	0.000	0.999	0.000
rs79193624 lBF = `-0.00608204` Chr`10` : `64,000,336`	0.000	0.999	0.000
rs2441727 lBF = `-0.0126322` Chr`10` : `68,224,886`	0.000	0.999	0.000
rs3824789 lBF = `-0.0652544` Chr`10` : `98,800,099`	0.000	0.999	0.000
rs1870634 lBF = `20.7748` Chr`10` : `44,480,811`	0.000	1.000	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.000	1.000	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.000	1.000	0.000
rs1967818 lBF = `14.6927` Chr`10` : `8,961,922`	0.000	1.000	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.000	1.000	0.000
rs2250644 lBF = `6.52988` Chr`10` : `91,008,879`	0.000	1.000	0.000
rs61839660 lBF = `2.01175` Chr`10` : `6,094,697`	0.000	1.000	0.000
rs17156371 lBF = `0.0349504` Chr`10` : `15,213,100`	0.000	1.000	0.000
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.000	1.000	0.000
rs11191419 lBF = `0.0163696` Chr`10` : `104,612,335`	0.000	1.000	0.000
rs4948418 lBF = `0.0159099` Chr`10` : `62,185,494`	0.000	1.000	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	1.000	0.000
rs12218439 lBF = `0.00095102` Chr`10` : `70,490,106`	0.000	1.000	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.000	1.000	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	1.000	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	1.000	0.000
rs12773465 lBF = `-0.0274825` Chr`10` : `98,794,059`	0.000	1.000	0.000
rs941853 lBF = `-0.0280585` Chr`10` : `116,199,175`	0.000	1.000	0.000
rs10994336 lBF = `-0.0299184` Chr`10` : `62,179,812`	0.000	1.000	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.000	1.000	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.000	1.000	0.000
rs705162 lBF = `3.13668` Chr`10` : `125,251,675`	0.000	1.000	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.000	1.000	0.000
rs17601696 lBF = `0.263335` Chr`10` : `123,120,036`	0.000	1.000	0.000
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.000	1.000	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	1.000	0.000
rs16926246 lBF = `-0.0547582` Chr`10` : `71,093,392`	0.000	1.000	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.000	1.000	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.000	1.000	0.000
rs7071247 lBF = `0.0854566` Chr`10` : `105,257,786`	0.000	1.000	0.000
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.000	1.000	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	1.000	0.000
rs11592657 lBF = `-0.0049497` Chr`10` : `128,790,443`	0.000	1.000	0.000
rs10994338 lBF = `-0.0322283` Chr`10` : `62,181,128`	0.000	1.000	0.000
rs10509328 lBF = `-0.0541135` Chr`10` : `72,767,409`	0.000	1.000	0.000
rs7916697 lBF = `-0.0650501` Chr`10` : `69,991,853`	0.000	1.000	0.000
rs1819658 lBF = `-0.0719` Chr`10` : `59,913,151`	0.000	1.000	0.000
rs962993 lBF = `31.5825` Chr`10` : `9,053,132`	0.000	1.000	0.000
rs1444782 lBF = `31.2722` Chr`10` : `9,058,671`	0.000	1.000	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.000	1.000	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.000	1.000	0.000
rs7908745 lBF = `12.9864` Chr`10` : `45,953,767`	0.000	1.000	0.000
rs11257655 lBF = `4.88826` Chr`10` : `12,307,894`	0.000	1.000	0.000
rs10509586 lBF = `1.09851` Chr`10` : `91,741,437`	0.000	1.000	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.000	1.000	0.000
rs1927457 lBF = `0.312018` Chr`10` : `30,008,663`	0.000	1.000	0.000
rs11599315 lBF = `0.222236` Chr`10` : `1,343,017`	0.000	1.000	0.000
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.000	1.000	0.000
rs11597068 lBF = `0.120387` Chr`10` : `124,988,153`	0.000	1.000	0.000
rs7071206 lBF = `0.0117524` Chr`10` : `79,401,316`	0.000	1.000	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	1.000	0.000
rs4948317 lBF = `-0.0119419` Chr`10` : `60,571,435`	0.000	1.000	0.000
rs17133587 lBF = `-0.0631607` Chr`10` : `4,809,075`	0.000	1.000	0.000
rs1952138 lBF = `-0.0664231` Chr`10` : `53,262,633`	0.000	1.000	0.000
rs10904908 lBF = `-0.079198` Chr`10` : `17,260,290`	0.000	1.000	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.000	1.000	0.000
Affx-35292641 lBF = `12.8673` Chr`10` : `45,958,881`	0.000	1.000	0.000
rs11239550 lBF = `11.2335` Chr`10` : `46,024,729`	0.000	1.000	0.000
rs7896600 lBF = `8.72865` Chr`10` : `12,255,175`	0.000	1.000	0.000
rs2246833 lBF = `6.27332` Chr`10` : `91,005,854`	0.000	1.000	0.000
rs2994684 lBF = `0.594283` Chr`10` : `31,366,271`	0.000	1.000	0.000
rs1890185 lBF = `0.0537457` Chr`10` : `104,748,718`	0.000	1.000	0.000
rs10883817 lBF = `0.0502355` Chr`10` : `104,755,431`	0.000	1.000	0.000
rs7914558 lBF = `0.0489198` Chr`10` : `104,775,908`	0.000	1.000	0.000
rs16923476 lBF = `0.0351103` Chr`10` : `23,858,211`	0.000	1.000	0.000
rs1923539 lBF = `0.0349746` Chr`10` : `81,694,950`	0.000	1.000	0.000
rs640090 lBF = `0.0279972` Chr`10` : `95,392,585`	0.000	1.000	0.000
rs224090 lBF = `0.0132165` Chr`10` : `64,541,319`	0.000	1.000	0.000
rs10994613 lBF = `0.0125815` Chr`10` : `62,780,127`	0.000	1.000	0.000
rs10824026 lBF = `0.0068493` Chr`10` : `75,421,208`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs1536827 lBF = `0.00330861` Chr`10` : `135,306,158`	0.000	1.000	0.000
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.000	1.000	0.000
rs10882097 lBF = `-0.0232321` Chr`10` : `82,568,684`	0.000	1.000	0.000
rs754466 lBF = `-0.0367628` Chr`10` : `79,680,434`	0.000	1.000	0.000
rs1471384 lBF = `-0.0791559` Chr`10` : `67,964,373`	0.000	1.000	0.000
rs7077608 lBF = `-0.0792227` Chr`10` : `119,347,241`	0.000	1.000	0.000
rs11018023 lBF = `-0.0842634` Chr`10` : `133,330,026`	0.000	1.000	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.000	1.000	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.000	1.000	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.000	1.000	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.000	1.000	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.000	1.000	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.000	1.000	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.000	1.000	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.000	1.000	0.000
rs1332329 lBF = `3.73235` Chr`10` : `91,003,419`	0.000	1.000	0.000
rs10762651 lBF = `0.860895` Chr`10` : `76,822,117`	0.000	1.000	0.000
rs76124550 lBF = `0.210383` Chr`10` : `114,386,739`	0.000	1.000	0.000
rs11255400 lBF = `0.097559` Chr`10` : `7,887,621`	0.000	1.000	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	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)

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.7307

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.2754

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.0658

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9681

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9588

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9473

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9083

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9030

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8855

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8782

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8770

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8518

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8353

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8209

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8153

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8103

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7878

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7867

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7859

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7756

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7735

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7387

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7287

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7254

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7075

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7069

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6967

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6850

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6778

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6739

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6653

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6509

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5754

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5731

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5393

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5222

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4730

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4128

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3893

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3845

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3721

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3204

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3108

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3099

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3017

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3015

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2963

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2737

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2274

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2060

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2047

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1885

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1806

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1511

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1425

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1211

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1075

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1040

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1009

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0966

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0962

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0740

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0733

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0542

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.0514

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`)