TreeWAS – [K31.1] Adult hypertrophic pyloric stenosis

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
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.754	0.246	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.714	0.286	0.000
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
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.673	0.327	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`	0.609	0.391	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.596	0.404	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
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.587	0.413	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
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.551	0.449	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.546	0.454	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`	0.489	0.511	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.473	0.527	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.470	0.530	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.457	0.543	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.428	0.572	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
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.401	0.599	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.400	0.600	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.391	0.609	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.375	0.625	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
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.288	0.712	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.264	0.736	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
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.786	0.214
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
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.798	0.202
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.167	0.833	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.165	0.834	0.000
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
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.150	0.850	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.147	0.853	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.854	0.146
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.144	0.856	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.142	0.858	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.122	0.878	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.109	0.890	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.086	0.914	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.085	0.915	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.080	0.920	0.000
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
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.002	0.937	0.061
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.061	0.939	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.059	0.941	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.058	0.942	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.054	0.946	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.053	0.946	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`	0.046	0.954	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.042	0.958	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.039	0.961	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.037	0.963	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.036	0.964	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
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.031	0.969	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.029	0.971	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.027	0.972	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.027	0.973	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.974	0.026
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.026	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`	0.024	0.976	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.976	0.024
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
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.017	0.982	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.016	0.984	0.000
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
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
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.010	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
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.010	0.990	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.009	0.991	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.008	0.992	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.008	0.992	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.008	0.992	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.008	0.992	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.007	0.993	0.001
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
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.006	0.994	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.006	0.994	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
rs11191593 lBF = `14.7448` Chr`10` : `104,939,215`	0.000	0.994	0.005
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	0.994	0.005
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
rs4752700 lBF = `7.71543` Chr`10` : `124,237,612`	0.000	0.995	0.005
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	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
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.004	0.995	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.005	0.995	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.004	0.995	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.996	0.004
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.004	0.996	0.000
rs12413409 lBF = `12.3734` Chr`10` : `104,719,096`	0.000	0.996	0.004
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
rs732998 lBF = `14.6898` Chr`10` : `104,897,901`	0.000	0.996	0.004
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.003	0.996	0.001
rs72848980 lBF = `0.068633` Chr`10` : `105,319,409`	0.004	0.996	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.003	0.996	0.001
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.004	0.996	0.000
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
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.003	0.997	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.997	0.003
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.003	0.997	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.003	0.997	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	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
rs11191580 lBF = `15.9158` Chr`10` : `104,906,211`	0.000	0.997	0.003
rs11191454 lBF = `12.1105` Chr`10` : `104,660,004`	0.000	0.997	0.003
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.003	0.997	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	0.997	0.003
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.003	0.997	0.000
rs11191548 lBF = `14.6368` Chr`10` : `104,846,178`	0.000	0.997	0.003
rs588517 lBF = `0.0681529` Chr`10` : `83,153,246`	0.003	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
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.002	0.998	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.002	0.998	0.000
rs2629540 lBF = `0.00801235` Chr`10` : `126,426,148`	0.002	0.998	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.002	0.998	0.000
rs28643277 lBF = `-0.102071` Chr`10` : `15,600,671`	0.002	0.998	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.002	0.998	0.000
rs12770171 lBF = `5.87995` Chr`10` : `51,549,314`	0.000	0.998	0.002
rs3943077 lBF = `0.168461` Chr`10` : `122,945,086`	0.002	0.998	0.000
rs7081062 lBF = `20.8817` Chr`10` : `114,740,745`	0.000	0.998	0.002
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.998	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.002	0.998	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.001	0.998	0.002
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.998	0.002
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.002	0.998	0.000
rs2503875 lBF = `-0.0942689` Chr`10` : `43,814,049`	0.002	0.998	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.002	0.998	0.000
rs2069036 lBF = `-0.0647022` Chr`10` : `16,116,747`	0.002	0.998	0.000
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
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.002	0.998	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.002	0.998	0.000
rs938036 lBF = `-0.00877572` Chr`10` : `65,658,744`	0.002	0.998	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.000	0.998	0.001
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs2343306 lBF = `0.207264` Chr`10` : `82,230,146`	0.002	0.998	0.000
rs7098414 lBF = `0.0540432` Chr`10` : `82,214,586`	0.002	0.998	0.000
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.998	0.000
rs603788 lBF = `-0.113307` Chr`10` : `79,211,262`	0.002	0.998	0.000
rs4509693 lBF = `1.25649` Chr`10` : `102,501,571`	0.000	0.998	0.002
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.001	0.998	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.001	0.999	0.000
rs1250544 lBF = `-0.0393365` Chr`10` : `81,032,885`	0.001	0.999	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.001	0.999	0.000
rs7896600 lBF = `8.72865` Chr`10` : `12,255,175`	0.000	0.999	0.001
rs12221133 lBF = `7.50515` Chr`10` : `12,253,597`	0.000	0.999	0.001
rs11257655 lBF = `4.88826` Chr`10` : `12,307,894`	0.000	0.999	0.001
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.001	0.999	0.000
rs12779790 lBF = `4.16901` Chr`10` : `12,328,010`	0.000	0.999	0.001
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.001	0.999	0.000
rs1002442 lBF = `0.722416` Chr`10` : `61,803,062`	0.001	0.999	0.000
rs1993484 lBF = `0.13635` Chr`10` : `82,222,698`	0.001	0.999	0.000
rs139326003 lBF = `0.0945419` Chr`10` : `54,365,958`	0.001	0.999	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.001	0.999	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.000	0.999	0.001
rs6586030 lBF = `0.00812419` Chr`10` : `82,254,047`	0.001	0.999	0.000
rs7098187 lBF = `0.00081847` Chr`10` : `15,538,383`	0.001	0.999	0.000
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rs2787702 lBF = `0.203332` Chr`10` : `63,307,475`	0.001	0.999	0.000
rs1129555 lBF = `0.131362` Chr`10` : `113,910,721`	0.000	0.999	0.001
rs10904887 lBF = `0.0480256` Chr`10` : `17,188,641`	0.001	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.000
rs10994397 lBF = `-0.00370148` Chr`10` : `62,279,124`	0.000	0.999	0.000
rs7899719 lBF = `-0.0116649` Chr`10` : `77,448,435`	0.000	0.999	0.000
rs1444418 lBF = `-0.0275294` Chr`10` : `64,560,470`	0.000	0.999	0.000
rs705469 lBF = `-0.0885285` Chr`10` : `3,658,919`	0.001	0.999	0.000
rs869244 lBF = `-0.0955008` Chr`10` : `112,909,105`	0.000	0.999	0.001
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.000	0.999	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.000	0.999	0.000
rs12761224 lBF = `0.353374` Chr`10` : `72,527,517`	0.000	0.999	0.000
rs10997979 lBF = `0.204855` Chr`10` : `69,937,192`	0.000	0.999	0.000
rs728616 lBF = `0.185726` Chr`10` : `81,847,914`	0.000	0.999	0.000
rs2222800 lBF = `0.0868466` Chr`10` : `54,341,873`	0.000	0.999	0.000
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.000	0.999	0.000
rs3740540 lBF = `0.0332777` Chr`10` : `126,294,167`	0.000	0.999	0.000
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.000	0.999	0.000
rs10906115 lBF = `0.0133628` Chr`10` : `12,314,997`	0.000	0.999	0.000
rs1649081 lBF = `-0.0327497` Chr`10` : `60,292,444`	0.000	0.999	0.000
rs1658442 lBF = `-0.0374653` Chr`10` : `60,318,897`	0.000	0.999	0.000
rs1398024 lBF = `-0.0490306` Chr`10` : `23,665,438`	0.000	0.999	0.000
rs10509328 lBF = `-0.0541135` Chr`10` : `72,767,409`	0.000	0.999	0.000
rs878939 lBF = `-0.0678103` Chr`10` : `101,342,941`	0.000	0.999	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.000	1.000	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.000	1.000	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.000	1.000	0.000
rs12722495 lBF = `2.89266` Chr`10` : `6,097,283`	0.000	1.000	0.000
rs2504183 lBF = `0.0809768` Chr`10` : `26,002,248`	0.000	1.000	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	1.000	0.000
rs10788289 lBF = `-0.00561361` Chr`10` : `85,644,615`	0.000	1.000	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	1.000	0.000
rs12358815 lBF = `-0.00646593` Chr`10` : `83,668,325`	0.000	1.000	0.000
rs7084402 lBF = `-0.063063` Chr`10` : `60,265,404`	0.000	1.000	0.000
rs10794108 lBF = `-0.0853509` Chr`10` : `128,423,873`	0.000	1.000	0.000
rs2096176 lBF = `-0.134465` Chr`10` : `26,433,366`	0.000	1.000	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.000	1.000	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.000	1.000	0.000
rs2675669 lBF = `1.78655` Chr`10` : `75,653,872`	0.000	1.000	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.000	1.000	0.000
rs1937395 lBF = `0.159071` Chr`10` : `56,391,303`	0.000	1.000	0.000
rs12261331 lBF = `0.0791688` Chr`10` : `82,287,527`	0.000	1.000	0.000
rs6602364 lBF = `0.041086` Chr`10` : `6,038,853`	0.000	1.000	0.000
rs10509680 lBF = `0.0254315` Chr`10` : `96,734,339`	0.000	1.000	0.000
rs11252926 lBF = `0.0247554` Chr`10` : `566,379`	0.000	1.000	0.000
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.000	1.000	0.000
rs12218439 lBF = `0.00095102` Chr`10` : `70,490,106`	0.000	1.000	0.000
rs17642749 lBF = `-0.00179651` Chr`10` : `119,647,256`	0.000	1.000	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	1.000	0.000
rs2070677 lBF = `-0.038347` Chr`10` : `135,351,174`	0.000	1.000	0.000
rs2506142 lBF = `-0.0454574` Chr`10` : `33,468,124`	0.000	1.000	0.000
rs2277212 lBF = `-0.0719808` Chr`10` : `11,299,735`	0.000	1.000	0.000
rs10901513 lBF = `-0.083459` Chr`10` : `127,699,936`	0.000	1.000	0.000
rs11255291 lBF = `-0.111568` Chr`10` : `7,736,904`	0.000	1.000	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.000	1.000	0.000
rs10509586 lBF = `1.09851` Chr`10` : `91,741,437`	0.000	1.000	0.000
rs35668226 lBF = `0.284751` Chr`10` : `122,849,667`	0.000	1.000	0.000
rs11597068 lBF = `0.120387` Chr`10` : `124,988,153`	0.000	1.000	0.000
rs7922314 lBF = `0.0805566` Chr`10` : `64,538,279`	0.000	1.000	0.000
rs1057910 lBF = `0.065632` Chr`10` : `96,741,053`	0.000	1.000	0.000
rs1853207 lBF = `0.0578187` Chr`10` : `96,665,937`	0.000	1.000	0.000
rs224090 lBF = `0.0132165` Chr`10` : `64,541,319`	0.000	1.000	0.000
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.000	1.000	0.000
rs10886159 lBF = `0.00119789` Chr`10` : `119,613,610`	0.000	1.000	0.000
rs7912580 lBF = `-0.00031847` Chr`10` : `63,915,972`	0.000	1.000	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.000	1.000	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	1.000	0.000
rs7094308 lBF = `-0.00343845` Chr`10` : `132,637,305`	0.000	1.000	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	1.000	0.000
rs787665 lBF = `-0.0217826` Chr`10` : `95,072,536`	0.000	1.000	0.000
rs2070676 lBF = `-0.0388763` Chr`10` : `135,351,137`	0.000	1.000	0.000
rs10829848 lBF = `-0.0560736` Chr`10` : `132,747,887`	0.000	1.000	0.000
rs8181477 lBF = `-0.0642013` Chr`10` : `18,782,880`	0.000	1.000	0.000
rs705471 lBF = `-0.0868014` Chr`10` : `3,667,726`	0.000	1.000	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.000	1.000	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.000	1.000	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.000	1.000	0.000
rs10998035 lBF = `0.487248` Chr`10` : `70,014,230`	0.000	1.000	0.000
rs11255400 lBF = `0.097559` Chr`10` : `7,887,621`	0.000	1.000	0.000
rs16928705 lBF = `0.047674` Chr`10` : `73,095,793`	0.000	1.000	0.000
rs16916041 lBF = `0.0100045` Chr`10` : `63,146,547`	0.000	1.000	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	1.000	0.000
rs75165347 lBF = `-0.0212639` Chr`10` : `118,611,335`	0.000	1.000	0.000
rs7078439 lBF = `-0.0422243` Chr`10` : `128,419,984`	0.000	1.000	0.000
rs11185790 lBF = `-0.0604991` Chr`10` : `91,372,533`	0.000	1.000	0.000
rs1925265 lBF = `-0.0753222` Chr`10` : `119,604,938`	0.000	1.000	0.000
rs4345897 lBF = `-0.0947357` Chr`10` : `100,147,060`	0.000	1.000	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.000	1.000	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.000	1.000	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.000	1.000	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.000	1.000	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.000	1.000	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.000	1.000	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.000	1.000	0.000
rs76124550 lBF = `0.210383` Chr`10` : `114,386,739`	0.000	1.000	0.000
rs7084416 lBF = `0.0478939` Chr`10` : `82,304,297`	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

0.6572

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9689

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9600

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9584

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9580

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9394

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9286

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9153

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9133

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8973

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8809

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8776

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8723

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8441

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7930

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7870

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7794

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7773

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7763

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7716

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7619

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7315

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7141

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7127

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6625

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6378

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6344

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6049

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5658

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5508

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5320

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5213

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5071

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4863

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4324

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4022

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3975

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3539

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3281

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3156

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2986

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2843

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2827

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2723

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2694

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2549

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2338

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2083

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2017

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1595

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1413

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1379

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1283

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1174

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1170

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1034

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1030

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0975

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0964

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0772

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`)