TreeWAS – [K57.5] Diverticular disease of both small and large intestine without perforation or abscess

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
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.654	0.346	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.641	0.359	0.000
rs10740993 lBF = `3.19026` Chr`10` : `18,442,482`	0.000	0.361	0.639
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.635	0.364	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.626	0.373	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.620	0.380	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.616	0.384	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.601	0.398	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.594	0.406	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.593	0.407	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.566	0.434	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.558	0.441	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.557	0.443	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.554	0.446	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.522	0.477	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.507	0.493	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.506	0.494	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.503	0.496	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.490	0.510	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.482	0.518	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.476	0.524	0.000
rs2231687 lBF = `6.47113` Chr`10` : `101,473,218`	0.468	0.532	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.465	0.535	0.000
rs10508700 lBF = `10.0484` Chr`10` : `25,821,318`	0.001	0.536	0.464
rs3923088 lBF = `9.0099` Chr`10` : `25,815,417`	0.449	0.551	0.001
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.448	0.552	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.430	0.570	0.000
Affx-2374111 lBF = `6.24994` Chr`10` : `101,436,165`	0.417	0.583	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.416	0.584	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.401	0.599	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.377	0.623	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.374	0.626	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.366	0.634	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.359	0.641	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.343	0.657	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.322	0.678	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.320	0.680	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.303	0.697	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.269	0.730	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.259	0.741	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.250	0.750	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.250	0.750	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.239	0.761	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.223	0.777	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.210	0.790	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.202	0.798	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.189	0.811	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.177	0.823	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.154	0.846	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.150	0.850	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.150	0.850	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.145	0.855	0.001
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.143	0.857	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.143	0.857	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.137	0.863	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.135	0.864	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.134	0.866	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.120	0.880	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.120	0.880	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.119	0.881	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.116	0.884	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.114	0.885	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.110	0.890	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.106	0.894	0.000
rs12775535 lBF = `0.0778572` Chr`10` : `25,918,879`	0.000	0.897	0.103
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.095	0.905	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.094	0.906	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.091	0.909	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.086	0.913	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.085	0.915	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.082	0.918	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.079	0.921	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.079	0.921	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.078	0.922	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.078	0.922	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.077	0.923	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.076	0.923	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.073	0.927	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.069	0.931	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.066	0.934	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.064	0.936	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.063	0.936	0.001
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.062	0.937	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.061	0.938	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.057	0.943	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.056	0.944	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.054	0.946	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.053	0.946	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.052	0.948	0.000
rs4373814 lBF = `0.4177` Chr`10` : `18,419,972`	0.000	0.949	0.051
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.050	0.950	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.047	0.952	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.041	0.953	0.006
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.044	0.956	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.042	0.958	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.959	0.041
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.038	0.962	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.038	0.962	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.035	0.964	0.000
rs2223089 lBF = `0.0421288` Chr`10` : `124,210,160`	0.000	0.965	0.035
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.035	0.965	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.034	0.966	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.033	0.967	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.032	0.968	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.031	0.969	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.031	0.969	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.030	0.970	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.030	0.970	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.028	0.970	0.002
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.029	0.971	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.024	0.976	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.023	0.977	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.023	0.977	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.022	0.978	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.001	0.978	0.021
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.020	0.980	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.017	0.983	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.015	0.984	0.001
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.016	0.984	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.015	0.985	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.014	0.986	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.014	0.986	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.010	0.986	0.004
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.012	0.988	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.012	0.988	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.011	0.988	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.011	0.989	0.000
rs77329626 lBF = `-0.0147371` Chr`10` : `61,664,195`	0.010	0.990	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.010	0.990	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.010	0.990	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.009	0.991	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.009	0.991	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.008	0.992	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.008	0.992	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.008	0.992	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.007	0.992	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.007	0.993	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.006	0.993	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.993	0.006
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	0.993	0.006
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.006	0.994	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.994	0.006
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.006	0.994	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.006	0.994	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.004	0.994	0.001
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.006	0.994	0.000
rs6585436 lBF = `-0.0127775` Chr`10` : `119,210,375`	0.000	0.995	0.005
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.005	0.995	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.005	0.995	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.005	0.995	0.000
rs187797607 lBF = `0.00544303` Chr`10` : `131,201,861`	0.005	0.995	0.000
rs7900239 lBF = `0.0901211` Chr`10` : `80,515,081`	0.000	0.995	0.005
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.004	0.995	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.004	0.995	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.004	0.996	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.004	0.996	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.004	0.996	0.000
rs596406 lBF = `0.00095232` Chr`10` : `11,224,665`	0.004	0.996	0.000
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.003	0.996	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.003	0.996	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.004	0.996	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.003	0.996	0.000
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.003	0.997	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.003	0.997	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.997	0.003
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.003	0.997	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.002	0.997	0.001
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.003	0.997	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.000	0.997	0.002
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.997	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.002	0.997	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.002	0.998	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.002	0.998	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.002	0.998	0.000
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.002	0.998	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.002	0.998	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.002	0.998	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.002	0.998	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.002	0.998	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.002	0.998	0.000
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.001	0.998	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.002	0.998	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	0.998	0.002
rs17095355 lBF = `0.829671` Chr`10` : `111,735,750`	0.000	0.998	0.002
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.002	0.998	0.000
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs2387326 lBF = `-0.0245273` Chr`10` : `129,933,456`	0.002	0.998	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.001	0.998	0.000
rs2799573 lBF = `-0.0418406` Chr`10` : `18,601,928`	0.000	0.998	0.002
rs2017305 lBF = `-0.0198916` Chr`10` : `70,712,062`	0.001	0.998	0.000
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.998	0.000
rs9420790 lBF = `-0.00003385` Chr`10` : `102,256,197`	0.001	0.999	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.001	0.999	0.000
rs16916041 lBF = `0.0100045` Chr`10` : `63,146,547`	0.000	0.999	0.001
rs28360899 lBF = `-0.0111531` Chr`10` : `125,772,237`	0.001	0.999	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.001	0.999	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.000	0.999	0.001
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.001	0.999	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.999	0.001
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.001	0.999	0.000
rs1397615 lBF = `0.00025863` Chr`10` : `120,966,339`	0.001	0.999	0.000
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rs1227969 lBF = `-0.00639226` Chr`10` : `71,263,264`	0.000	1.000	0.000
rs563507 lBF = `-0.0130193` Chr`10` : `34,817,988`	0.000	1.000	0.000
rs1250540 lBF = `-0.0409655` Chr`10` : `81,036,007`	0.000	1.000	0.000
rs807029 lBF = `-0.0843325` Chr`10` : `102,764,047`	0.000	1.000	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.000	1.000	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.000	1.000	0.000
rs2802369 lBF = `5.34467` Chr`10` : `80,960,828`	0.000	1.000	0.000
rs1219515 lBF = `3.43486` Chr`10` : `123,431,245`	0.000	1.000	0.000
rs17094222 lBF = `0.413074` Chr`10` : `102,395,440`	0.000	1.000	0.000
rs16928705 lBF = `0.047674` Chr`10` : `73,095,793`	0.000	1.000	0.000
rs4948418 lBF = `0.0159099` Chr`10` : `62,185,494`	0.000	1.000	0.000
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.000	1.000	0.000
rs149930776 lBF = `-0.0147402` Chr`10` : `14,856,667`	0.000	1.000	0.000
rs11816631 lBF = `-0.0418204` Chr`10` : `99,562,572`	0.000	1.000	0.000
rs11189494 lBF = `-0.0442838` Chr`10` : `99,913,132`	0.000	1.000	0.000
rs4634985 lBF = `-0.0492037` Chr`10` : `20,434,780`	0.000	1.000	0.000
rs10995439 lBF = `-0.0506971` Chr`10` : `64,866,912`	0.000	1.000	0.000
rs12772794 lBF = `-0.0541447` Chr`10` : `20,674,653`	0.000	1.000	0.000
rs34872471 lBF = `171.606` Chr`10` : `114,754,071`	0.000	1.000	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.000	1.000	0.000
rs71508903 lBF = `11.3778` Chr`10` : `63,779,871`	0.000	1.000	0.000
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.000	1.000	0.000
rs2154401 lBF = `6.49485` Chr`10` : `44,655,275`	0.000	1.000	0.000
rs2497306 lBF = `6.34765` Chr`10` : `94,485,211`	0.000	1.000	0.000
rs10128264 lBF = `5.27861` Chr`10` : `80,959,973`	0.000	1.000	0.000
rs12761761 lBF = `1.99853` Chr`10` : `133,775,375`	0.000	1.000	0.000
rs7072574 lBF = `1.3795` Chr`10` : `96,036,306`	0.000	1.000	0.000
rs17666963 lBF = `0.812877` Chr`10` : `125,207,501`	0.000	1.000	0.000
rs2031577 lBF = `0.590296` Chr`10` : `4,050,003`	0.000	1.000	0.000
rs76124550 lBF = `0.210383` Chr`10` : `114,386,739`	0.000	1.000	0.000
rs1801239 lBF = `0.191179` Chr`10` : `16,919,052`	0.000	1.000	0.000
rs8181385 lBF = `0.0847397` Chr`10` : `19,560,960`	0.000	1.000	0.000
rs2790232 lBF = `0.0453778` Chr`10` : `59,985,671`	0.000	1.000	0.000
rs139550538 lBF = `0.0321346` Chr`10` : `94,284,069`	0.000	1.000	0.000
rs1171616 lBF = `0.0197039` Chr`10` : `61,468,589`	0.000	1.000	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	1.000	0.000
rs11009175 lBF = `-0.0018497` Chr`10` : `33,294,775`	0.000	1.000	0.000
rs1934951 lBF = `-0.00302767` Chr`10` : `96,798,548`	0.000	1.000	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	1.000	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	1.000	0.000
rs12762955 lBF = `-0.019296` Chr`10` : `1,078,782`	0.000	1.000	0.000
rs143543475 lBF = `-0.0424106` Chr`10` : `27,708,029`	0.000	1.000	0.000
rs7089814 lBF = `-0.0513007` Chr`10` : `64,187,564`	0.000	1.000	0.000
rs10829848 lBF = `-0.0560736` Chr`10` : `132,747,887`	0.000	1.000	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.000	1.000	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.000	1.000	0.000
rs78084308 lBF = `9.59773` Chr`10` : `8,984,955`	0.000	1.000	0.000
rs10748781 lBF = `6.53438` Chr`10` : `101,283,330`	0.000	1.000	0.000
rs11012167 lBF = `2.68855` Chr`10` : `20,862,401`	0.000	1.000	0.000
rs12780845 lBF = `1.52676` Chr`10` : `17,223,244`	0.000	1.000	0.000
rs2742234 lBF = `1.42313` Chr`10` : `43,612,609`	0.000	1.000	0.000
rs16920624 lBF = `0.24525` Chr`10` : `20,810,525`	0.000	1.000	0.000
rs75984653 lBF = `0.211922` Chr`10` : `24,357,791`	0.000	1.000	0.000
rs477692 lBF = `0.178769` Chr`10` : `131,426,022`	0.000	1.000	0.000
rs17112901 lBF = `0.0586853` Chr`10` : `102,066,185`	0.000	1.000	0.000
rs1223629 lBF = `0.0390517` Chr`10` : `95,906,315`	0.000	1.000	0.000
rs2842169 lBF = `0.00422794` Chr`10` : `128,330,713`	0.000	1.000	0.000
rs11259403 lBF = `0.00205073` Chr`10` : `6,572,225`	0.000	1.000	0.000
rs2219937 lBF = `-0.00490385` Chr`10` : `84,419,410`	0.000	1.000	0.000
rs10904180 lBF = `-0.0128213` Chr`10` : `4,137,661`	0.000	1.000	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	1.000	0.000
rs117582141 lBF = `-0.0212654` Chr`10` : `94,564,611`	0.000	1.000	0.000
rs7092313 lBF = `-0.0273934` Chr`10` : `10,689,602`	0.000	1.000	0.000
rs11818084 lBF = `-0.0333965` Chr`10` : `125,986,898`	0.000	1.000	0.000
rs7078439 lBF = `-0.0422243` Chr`10` : `128,419,984`	0.000	1.000	0.000
rs1250542 lBF = `-0.0456127` Chr`10` : `81,034,670`	0.000	1.000	0.000
rs11196172 lBF = `-0.0484417` Chr`10` : `114,726,843`	0.000	1.000	0.000
rs2153283 lBF = `-0.0489038` Chr`10` : `59,972,299`	0.000	1.000	0.000
rs10761482 lBF = `-0.0515645` Chr`10` : `62,085,337`	0.000	1.000	0.000
rs7920888 lBF = `-0.0517848` Chr`10` : `90,818,377`	0.000	1.000	0.000
rs1199103 lBF = `-0.0521979` Chr`10` : `59,947,231`	0.000	1.000	0.000
rs10509328 lBF = `-0.0541135` Chr`10` : `72,767,409`	0.000	1.000	0.000
rs12357257 lBF = `-0.0561572` Chr`10` : `24,999,593`	0.000	1.000	0.000
rs1227756 lBF = `-0.0635587` Chr`10` : `71,588,504`	0.000	1.000	0.000
rs751008 lBF = `-0.126134` Chr`10` : `129,142,417`	0.000	1.000	0.000
rs7903146 lBF = `168.307` Chr`10` : `114,758,349`	0.000	1.000	0.000
rs2981578 lBF = `83.9794` Chr`10` : `123,340,311`	0.000	1.000	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.000	1.000	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.000	1.000	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.000	1.000	0.000
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.000	1.000	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.000	1.000	0.000
rs11015781 lBF = `0.315942` Chr`10` : `18,994,583`	0.000	1.000	0.000
rs4332428 lBF = `0.206544` Chr`10` : `4,965,434`	0.000	1.000	0.000
rs2370759 lBF = `0.0251521` Chr`10` : `32,634,972`	0.000	1.000	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	1.000	0.000
rs1997066 lBF = `0.0101851` Chr`10` : `106,763,563`	0.000	1.000	0.000
rs4746003 lBF = `0.00789436` Chr`10` : `71,538,292`	0.000	1.000	0.000
rs117792039 lBF = `0.00043349` Chr`10` : `106,810,615`	0.000	1.000	0.000
rs1171617 lBF = `-0.00388398` Chr`10` : `61,467,182`	0.000	1.000	0.000
rs12220898 lBF = `-0.00475603` Chr`10` : `50,576,633`	0.000	1.000	0.000
rs17691888 lBF = `-0.00688764` Chr`10` : `18,734,528`	0.000	1.000	0.000
rs75165347 lBF = `-0.0212639` Chr`10` : `118,611,335`	0.000	1.000	0.000
rs1250544 lBF = `-0.0393365` Chr`10` : `81,032,885`	0.000	1.000	0.000
rs2790216 lBF = `-0.0414774` Chr`10` : `59,997,926`	0.000	1.000	0.000
rs1937332 lBF = `-0.0488787` Chr`10` : `90,826,779`	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 X0321

log Bayes Factor = 162.562

contains 1 variants

0.6420

Cluster X0313

log Bayes Factor = 43.6275

contains 4 variants

0.3908

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0168

log Bayes Factor = 118.571

contains 7 variants

0.9186

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8397

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.8153

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7618

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7576

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7167

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7167

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7165

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7132

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7059

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6921

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6897

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6614

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6097

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6001

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5966

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5844

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5767

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5404

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4539

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4376

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3929

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3871

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3846

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3642

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3430

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3424

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3263

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3135

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3027

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2935

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2623

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2443

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2432

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2293

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2064

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1934

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1680

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1641

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1613

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1604

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1599

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1514

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1510

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1489

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1483

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1465

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1457

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1367

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1276

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1248

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1227

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1205

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0997

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0899

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0865

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0851

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0835

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0787

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0784

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0722

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0637

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0546

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0525

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`)