TreeWAS – [N84.2] Polyp of vagina

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
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.710	0.290	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.703	0.297	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.684	0.316	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.678	0.322	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.674	0.326	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.661	0.339	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.645	0.355	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.621	0.379	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.588	0.412	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.570	0.430	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.547	0.452	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.541	0.459	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.527	0.472	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.515	0.485	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.503	0.496	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.498	0.502	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.462	0.538	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.456	0.544	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.448	0.551	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.431	0.569	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.407	0.593	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.406	0.594	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.399	0.601	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.393	0.607	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.372	0.628	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.357	0.643	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.350	0.650	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.341	0.659	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.340	0.660	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.338	0.662	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.331	0.669	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.328	0.671	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.325	0.674	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.323	0.676	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.322	0.677	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.287	0.713	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.278	0.722	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.267	0.732	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.264	0.736	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.218	0.782	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.212	0.787	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.203	0.797	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.202	0.798	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.192	0.808	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.191	0.808	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.189	0.811	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.184	0.815	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.167	0.832	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.166	0.834	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.163	0.837	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.156	0.844	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.140	0.860	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.135	0.865	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.134	0.865	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.131	0.868	0.001
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.116	0.884	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.107	0.892	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.107	0.893	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.100	0.900	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.096	0.904	0.000
rs11006923 lBF = `0.107217` Chr`10` : `28,504,944`	0.086	0.914	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.917	0.083
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.075	0.925	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.074	0.926	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.072	0.928	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.065	0.933	0.001
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.061	0.939	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.055	0.945	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.052	0.948	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.954	0.045
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.045	0.955	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.044	0.956	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.043	0.956	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.043	0.957	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.041	0.958	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.040	0.960	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.038	0.961	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.035	0.965	0.000
rs4933824 lBF = `0.00984168` Chr`10` : `83,819,125`	0.000	0.966	0.034
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.034	0.966	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.033	0.967	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.029	0.971	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.029	0.971	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.028	0.972	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.027	0.973	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.027	0.973	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.001	0.973	0.026
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.026	0.973	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.026	0.974	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.026	0.974	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.026	0.974	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.023	0.977	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.021	0.979	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.021	0.979	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.019	0.980	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.020	0.980	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.018	0.982	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.018	0.982	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.018	0.982	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.017	0.983	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.015	0.985	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.014	0.986	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.013	0.987	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.013	0.987	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.012	0.988	0.000
rs7072574 lBF = `1.3795` Chr`10` : `96,036,306`	0.010	0.990	0.001
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.010	0.990	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.009	0.990	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.009	0.991	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.009	0.991	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.008	0.992	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.007	0.993	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.004	0.993	0.003
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.006	0.994	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.006	0.994	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.006	0.994	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.006	0.994	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.005	0.994	0.000
rs2901286 lBF = `0.0394912` Chr`10` : `122,900,623`	0.000	0.995	0.005
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.005	0.995	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.004	0.996	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.996	0.004
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.004	0.996	0.000
rs2165953 lBF = `-0.0585411` Chr`10` : `4,716,542`	0.004	0.996	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.004	0.996	0.000
rs563507 lBF = `-0.0130193` Chr`10` : `34,817,988`	0.000	0.996	0.004
rs10786156 lBF = `5.4992` Chr`10` : `96,014,622`	0.003	0.996	0.001
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.004	0.996	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.003	0.996	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.003	0.997	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.003	0.997	0.000
rs12777823 lBF = `1.7707` Chr`10` : `96,405,502`	0.000	0.997	0.003
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.003	0.997	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.003	0.997	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.000	0.997	0.003
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.003	0.997	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.003	0.997	0.000
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.003	0.997	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.002	0.997	0.000
rs10508517 lBF = `0.0445313` Chr`10` : `16,997,891`	0.003	0.997	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.003	0.997	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.997	0.002
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.003	0.997	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.002	0.997	0.001
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.002	0.997	0.000
rs938036 lBF = `-0.00877572` Chr`10` : `65,658,744`	0.000	0.997	0.002
rs12570188 lBF = `0.00129824` Chr`10` : `100,855,702`	0.002	0.997	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.002	0.997	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.002	0.997	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.001	0.997	0.001
rs2274351 lBF = `1.33227` Chr`10` : `104,264,107`	0.002	0.997	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.002	0.998	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.000	0.998	0.002
rs2820651 lBF = `0.349566` Chr`10` : `1,471,765`	0.002	0.998	0.000
rs4751674 lBF = `-0.0671879` Chr`10` : `116,139,029`	0.000	0.998	0.002
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.002	0.998	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.002	0.998	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.002	0.998	0.000
rs7904985 lBF = `-0.0788189` Chr`10` : `88,116,479`	0.001	0.998	0.001
rs10508503 lBF = `-0.00975954` Chr`10` : `16,299,951`	0.002	0.998	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.002	0.998	0.000
rs2274224 lBF = `5.64336` Chr`10` : `96,039,597`	0.001	0.998	0.001
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.002	0.998	0.000
rs61847307 lBF = `-0.0728197` Chr`10` : `53,944,442`	0.002	0.998	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.002	0.998	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.002	0.998	0.000
rs3750848 lBF = `14.7959` Chr`10` : `124,215,315`	0.000	0.998	0.002
rs3750846 lBF = `14.8239` Chr`10` : `124,215,565`	0.000	0.998	0.002
rs4752700 lBF = `7.71543` Chr`10` : `124,237,612`	0.002	0.998	0.000
rs9420790 lBF = `-0.00003385` Chr`10` : `102,256,197`	0.002	0.998	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.002	0.998	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.002	0.998	0.000
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.998	0.000
rs10508372 lBF = `-0.0267531` Chr`10` : `8,972,018`	0.002	0.998	0.000
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.001	0.998	0.000
rs10490924 lBF = `14.8192` Chr`10` : `124,214,448`	0.000	0.998	0.002
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.002	0.998	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.002	0.998	0.000
rs11191193 lBF = `-0.0178436` Chr`10` : `103,802,408`	0.000	0.998	0.002
rs10905099 lBF = `-0.0153809` Chr`10` : `7,089,016`	0.002	0.998	0.000
rs10821944 lBF = `4.02916` Chr`10` : `63,785,089`	0.002	0.998	0.000
rs11187157 lBF = `0.0325227` Chr`10` : `94,502,244`	0.002	0.998	0.000
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.001	0.998	0.000
rs11200638 lBF = `13.1154` Chr`10` : `124,220,544`	0.000	0.998	0.002
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.000	0.998	0.001
rs2274223 lBF = `0.877294` Chr`10` : `96,066,341`	0.000	0.999	0.001
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.999	0.000
rs729397 lBF = `-0.111105` Chr`10` : `2,532,019`	0.001	0.999	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.001
rs3793917 lBF = `14.7732` Chr`10` : `124,219,275`	0.000	0.999	0.001
rs79802331 lBF = `7.89544` Chr`10` : `105,603,920`	0.000	0.999	0.001
rs187797607 lBF = `0.00544303` Chr`10` : `131,201,861`	0.001	0.999	0.001
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.001	0.999	0.000
rs12254016 lBF = `5.09741` Chr`10` : `112,542,865`	0.001	0.999	0.000
rs61874768 lBF = `0.0431539` Chr`10` : `103,880,118`	0.000	0.999	0.001
rs11593907 lBF = `5.52912` Chr`10` : `63,786,554`	0.000	0.999	0.001
rs4986894 lBF = `2.78295` Chr`10` : `96,522,365`	0.000	0.999	0.001
rs4748185 lBF = `0.00118185` Chr`10` : `15,654,887`	0.001	0.999	0.000
rs7895244 lBF = `-0.00674697` Chr`10` : `98,432,703`	0.001	0.999	0.000
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rs17134585 lBF = `0.25215` Chr`10` : `5,256,272`	0.001	0.999	0.000
rs1832007 lBF = `0.20969` Chr`10` : `5,254,847`	0.001	0.999	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	0.999	0.000
rs1326986 lBF = `-0.00638613` Chr`10` : `19,929,513`	0.000	0.999	0.000
rs1970525 lBF = `-0.0556589` Chr`10` : `87,634,924`	0.000	0.999	0.000
rs4880487 lBF = `-0.108311` Chr`10` : `1,246,883`	0.000	0.999	0.001
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.000	0.999	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.000	0.999	0.000
rs2812533 lBF = `0.110472` Chr`10` : `71,452,285`	0.000	0.999	0.000
rs1250563 lBF = `0.0969562` Chr`10` : `81,047,383`	0.000	0.999	0.001
rs1057910 lBF = `0.065632` Chr`10` : `96,741,053`	0.000	0.999	0.000
rs1250566 lBF = `0.0636624` Chr`10` : `81,046,453`	0.000	0.999	0.000
rs1853207 lBF = `0.0578187` Chr`10` : `96,665,937`	0.000	0.999	0.000
rs139550538 lBF = `0.0321346` Chr`10` : `94,284,069`	0.000	0.999	0.000
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.000	0.999	0.000
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.000	0.999	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	0.999	0.000
rs12571664 lBF = `-0.0343749` Chr`10` : `121,708,929`	0.000	0.999	0.000
rs17147135 lBF = `-0.0358584` Chr`10` : `10,084,566`	0.000	0.999	0.000
rs290475 lBF = `-0.0656258` Chr`10` : `114,874,019`	0.000	0.999	0.000
rs1863824 lBF = `-0.111628` Chr`10` : `88,112,939`	0.000	0.999	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.000	0.999	0.000
rs7069733 lBF = `1.97167` Chr`10` : `105,297,770`	0.000	0.999	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.000	0.999	0.000
rs7916868 lBF = `0.641027` Chr`10` : `64,988,931`	0.000	0.999	0.000
rs17135159 lBF = `0.237642` Chr`10` : `3,408,947`	0.000	0.999	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.000
rs7077335 lBF = `0.00301948` Chr`10` : `6,315,794`	0.000	0.999	0.000
rs2671692 lBF = `-0.00089556` Chr`10` : `50,097,819`	0.000	0.999	0.000
rs6585424 lBF = `-0.0152303` Chr`10` : `81,933,748`	0.000	0.999	0.000
rs1800682 lBF = `-0.0553043` Chr`10` : `90,749,963`	0.000	0.999	0.000
rs10159477 lBF = `-0.0568119` Chr`10` : `71,099,888`	0.000	0.999	0.000
rs2992257 lBF = `-0.0813987` Chr`10` : `26,734,587`	0.000	0.999	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.000	1.000	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.000	1.000	0.000
rs12355784 lBF = `0.406267` Chr`10` : `65,121,565`	0.000	1.000	0.000
rs7910927 lBF = `0.386599` Chr`10` : `65,138,910`	0.000	1.000	0.000
rs7896783 lBF = `0.376444` Chr`10` : `65,162,153`	0.000	1.000	0.000
rs7923609 lBF = `0.356224` Chr`10` : `65,133,822`	0.000	1.000	0.000
rs10761779 lBF = `0.316979` Chr`10` : `65,274,927`	0.000	1.000	0.000
rs11017328 lBF = `0.010184` Chr`10` : `132,347,100`	0.000	1.000	0.000
rs2842169 lBF = `0.00422794` Chr`10` : `128,330,713`	0.000	1.000	0.000
rs6585436 lBF = `-0.0127775` Chr`10` : `119,210,375`	0.000	1.000	0.000
rs9419788 lBF = `-0.0431338` Chr`10` : `96,013,705`	0.000	1.000	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.000	1.000	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.000	1.000	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.000	1.000	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.000	1.000	0.000
rs61862866 lBF = `6.50007` Chr`10` : `112,541,676`	0.000	1.000	0.000
rs4379723 lBF = `0.372923` Chr`10` : `64,963,449`	0.000	1.000	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.000	1.000	0.000
rs72786268 lBF = `-0.0208388` Chr`10` : `25,770,025`	0.000	1.000	0.000
rs10741210 lBF = `-0.0568954` Chr`10` : `131,984,312`	0.000	1.000	0.000
rs9421748 lBF = `-0.073187` Chr`10` : `48,499,271`	0.000	1.000	0.000
rs10794108 lBF = `-0.0853509` Chr`10` : `128,423,873`	0.000	1.000	0.000
rs10763170 lBF = `-0.100112` Chr`10` : `56,777,024`	0.000	1.000	0.000
rs12772424 lBF = `-0.110845` Chr`10` : `114,880,551`	0.000	1.000	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.000	1.000	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.000	1.000	0.000
rs7908745 lBF = `12.9864` Chr`10` : `45,953,767`	0.000	1.000	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.000	1.000	0.000
rs7912831 lBF = `5.83513` Chr`10` : `8,731,255`	0.000	1.000	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.000	1.000	0.000
rs14168 lBF = `0.217798` Chr`10` : `53,455,562`	0.000	1.000	0.000
rs1129555 lBF = `0.131362` Chr`10` : `113,910,721`	0.000	1.000	0.000
rs1329189 lBF = `0.121753` Chr`10` : `129,998,372`	0.000	1.000	0.000
rs2255141 lBF = `0.082114` Chr`10` : `113,933,886`	0.000	1.000	0.000
rs12251307 lBF = `0.0447101` Chr`10` : `6,123,495`	0.000	1.000	0.000
rs4948496 lBF = `-0.0263823` Chr`10` : `63,805,617`	0.000	1.000	0.000
rs2763339 lBF = `-0.0501598` Chr`10` : `71,689,645`	0.000	1.000	0.000
rs11185790 lBF = `-0.0604991` Chr`10` : `91,372,533`	0.000	1.000	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.000	1.000	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.000	1.000	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.000	1.000	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.000	1.000	0.000
rs2742234 lBF = `1.42313` Chr`10` : `43,612,609`	0.000	1.000	0.000
rs3818285 lBF = `0.148536` Chr`10` : `111,635,212`	0.000	1.000	0.000
rs2485376 lBF = `0.0715754` Chr`10` : `104,050,006`	0.000	1.000	0.000
rs11593576 lBF = `0.0421681` Chr`10` : `81,015,896`	0.000	1.000	0.000
rs11006464 lBF = `0.00366423` Chr`10` : `61,146,582`	0.000	1.000	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	1.000	0.000
rs596406 lBF = `0.00095232` Chr`10` : `11,224,665`	0.000	1.000	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	1.000	0.000
rs12220898 lBF = `-0.00475603` Chr`10` : `50,576,633`	0.000	1.000	0.000
rs1227969 lBF = `-0.00639226` Chr`10` : `71,263,264`	0.000	1.000	0.000
rs12722605 lBF = `-0.00662718` Chr`10` : `6,053,163`	0.000	1.000	0.000
rs1571942 lBF = `-0.0246236` Chr`10` : `20,542,634`	0.000	1.000	0.000
rs1676712 lBF = `-0.0344275` Chr`10` : `127,836,840`	0.000	1.000	0.000
rs1570271 lBF = `-0.0398572` Chr`10` : `115,288,501`	0.000	1.000	0.000
rs7914680 lBF = `-0.0672246` Chr`10` : `67,965,010`	0.000	1.000	0.000
rs10752212 lBF = `-0.0788927` Chr`10` : `10,917,121`	0.000	1.000	0.000
rs4488133 lBF = `-0.0876667` Chr`10` : `100,159,136`	0.000	1.000	0.000
rs7072216 lBF = `-0.0930109` Chr`10` : `100,156,853`	0.000	1.000	0.000
rs4539242 lBF = `-0.102124` Chr`10` : `100,148,058`	0.000	1.000	0.000
rs11598867 lBF = `-0.104474` Chr`10` : `100,146,084`	0.000	1.000	0.000
rs2147896 lBF = `-0.107845` Chr`10` : `100,148,176`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5588

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9133

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8627

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8213

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7843

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7357

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7003

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6771

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.6657

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6052

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5964

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5742

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5340

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5334

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4936

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4504

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4399

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4382

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4355

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4220

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4194

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3661

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3624

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3530

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3513

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3346

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3242

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2740

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2696

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2367

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2251

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1952

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1866

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1847

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1723

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1387

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1368

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1245

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1229

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0965

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0801

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0780

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0765

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0616

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0588

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0506

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0501

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`)