TreeWAS – [S01.3] Open wound of ear

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
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.849	0.151	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.845	0.155	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.835	0.165	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.800	0.200	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.786	0.214	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.786	0.214	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.776	0.224	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.772	0.228	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.744	0.256	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.735	0.265	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.725	0.275	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.724	0.276	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.720	0.280	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.715	0.285	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.713	0.287	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.711	0.289	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.707	0.293	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.697	0.303	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.695	0.305	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.692	0.307	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.685	0.314	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.684	0.316	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.684	0.316	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.683	0.317	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.680	0.319	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.680	0.319	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.680	0.320	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.676	0.324	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.670	0.330	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.657	0.343	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.656	0.344	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.652	0.348	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.648	0.352	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.642	0.358	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.360	0.640
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.634	0.366	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.633	0.367	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.632	0.368	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.626	0.374	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.625	0.375	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.623	0.377	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.622	0.378	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.621	0.379	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.616	0.384	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.615	0.385	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.614	0.386	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.613	0.387	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.609	0.391	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.608	0.392	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.599	0.401	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.597	0.403	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.592	0.408	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.585	0.415	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.583	0.417	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.581	0.419	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.579	0.421	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.573	0.426	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.567	0.433	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.564	0.436	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.558	0.442	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.552	0.448	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.551	0.448	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.551	0.449	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.538	0.461	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.534	0.466	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.534	0.466	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.532	0.468	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.531	0.469	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.530	0.470	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.530	0.470	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.527	0.473	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.526	0.474	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.519	0.481	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.518	0.482	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.515	0.485	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.515	0.485	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.513	0.486	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.513	0.487	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.505	0.495	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.505	0.495	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.501	0.499	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.501	0.499	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.498	0.502	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.496	0.504	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.495	0.505	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.494	0.506	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.491	0.508	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.489	0.511	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.488	0.512	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.485	0.515	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.481	0.518	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.479	0.520	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.478	0.521	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.475	0.525	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.472	0.528	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.470	0.530	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.469	0.531	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.469	0.531	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.463	0.537	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.459	0.540	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.458	0.542	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.457	0.543	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.457	0.543	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.457	0.543	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.456	0.544	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.455	0.544	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.452	0.547	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.448	0.552	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.443	0.556	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.441	0.558	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.433	0.567	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.432	0.568	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.430	0.570	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.430	0.570	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.428	0.572	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.422	0.578	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.420	0.580	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.410	0.589	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.410	0.590	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.410	0.590	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.405	0.595	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.404	0.595	0.000
rs143638193 lBF = `0.62416` Chr`4` : `141,500,705`	0.403	0.597	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.402	0.598	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.401	0.598	0.000
rs4696584 lBF = `0.72602` Chr`4` : `155,397,517`	0.398	0.602	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.396	0.604	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.394	0.605	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.389	0.611	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.387	0.613	0.000
rs16872248 lBF = `0.350614` Chr`4` : `22,021,500`	0.380	0.619	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.376	0.624	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.373	0.627	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.365	0.634	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.365	0.635	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.364	0.636	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.361	0.639	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.359	0.641	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.354	0.646	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.348	0.651	0.001
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.346	0.654	0.000
rs6858365 lBF = `0.381368` Chr`4` : `12,172,669`	0.346	0.654	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.344	0.656	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.341	0.659	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.341	0.659	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.337	0.663	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.333	0.667	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.330	0.669	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.328	0.671	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.328	0.672	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.327	0.673	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.325	0.675	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.324	0.675	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.323	0.676	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.318	0.681	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.318	0.682	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.314	0.686	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.311	0.689	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.308	0.691	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.305	0.694	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.305	0.695	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.304	0.696	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.304	0.696	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.301	0.699	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.300	0.700	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.299	0.701	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.289	0.711	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.289	0.711	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.285	0.715	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.285	0.715	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.284	0.716	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.279	0.720	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.276	0.723	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.727	0.273
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.269	0.730	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.269	0.731	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.269	0.731	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.269	0.731	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.269	0.731	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.269	0.731	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.269	0.731	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.269	0.731	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.269	0.731	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.269	0.731	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.269	0.731	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.269	0.731	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.264	0.736	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.257	0.743	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.255	0.745	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.254	0.746	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.254	0.746	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.254	0.746	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.254	0.746	0.000
rs55901496 lBF = `0.333042` Chr`4` : `98,549,992`	0.252	0.747	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.249	0.751	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.245	0.755	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.244	0.756	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.240	0.760	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.239	0.761	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.238	0.761	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.237	0.763	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.235	0.765	0.000
rs2078362 lBF = `0.296479` Chr`4` : `98,552,759`	0.235	0.765	0.000
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rs6845263 lBF = `-0.0328545` Chr`4` : `102,276,682`	0.000	0.992	0.008
rs9307551 lBF = `-0.0655878` Chr`4` : `80,530,671`	0.000	0.992	0.008
rs10517287 lBF = `0.0342819` Chr`4` : `33,624,702`	0.007	0.993	0.000
rs10516635 lBF = `0.0964028` Chr`4` : `118,079,907`	0.007	0.993	0.000
rs16875255 lBF = `-0.0335548` Chr`4` : `24,185,401`	0.000	0.993	0.007
rs10026364 lBF = `-0.00359658` Chr`4` : `135,522,740`	0.007	0.993	0.000
rs342958 lBF = `0.010874` Chr`4` : `86,280,638`	0.007	0.993	0.000
rs3792615 lBF = `-0.00186372` Chr`4` : `164,532,801`	0.006	0.993	0.000
rs72671852 lBF = `-0.0326642` Chr`4` : `106,646,349`	0.000	0.994	0.006
rs4476553 lBF = `-0.0146133` Chr`4` : `4,704,014`	0.000	0.994	0.006
rs191279589 lBF = `0.00997814` Chr`4` : `105,605,997`	0.005	0.994	0.000
rs2647264 lBF = `-0.023025` Chr`4` : `106,268,594`	0.005	0.994	0.000
rs890448 lBF = `0.135808` Chr`4` : `102,432,702`	0.005	0.995	0.000
rs115257454 lBF = `0.0114577` Chr`4` : `71,008,365`	0.005	0.995	0.000
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.005	0.995	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.005	0.995	0.000
rs10033464 lBF = `5.22253` Chr`4` : `111,720,761`	0.005	0.995	0.000
rs6531296 lBF = `0.140136` Chr`4` : `34,154,089`	0.005	0.995	0.000
rs189421534 lBF = `0.00665442` Chr`4` : `9,592,033`	0.005	0.995	0.000
rs1568356 lBF = `5.1091` Chr`4` : `186,896,132`	0.005	0.995	0.000
rs28583512 lBF = `6.97733` Chr`4` : `20,124,487`	0.004	0.996	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.004	0.996	0.000
rs491376 lBF = `0.00435815` Chr`4` : `13,116,762`	0.004	0.996	0.000
rs150303591 lBF = `0.0368163` Chr`4` : `79,009,309`	0.004	0.996	0.000
rs7666831 lBF = `0.00553227` Chr`4` : `93,321,027`	0.003	0.996	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.002	0.996	0.002
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.003	0.996	0.000
rs72674100 lBF = `-0.0225639` Chr`4` : `98,085,289`	0.000	0.997	0.003
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.003	0.997	0.000
rs1374531 lBF = `-0.0435098` Chr`4` : `106,523,932`	0.000	0.997	0.003
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.003	0.997	0.000
rs7698171 lBF = `5.08652` Chr`4` : `95,089,869`	0.003	0.997	0.000
rs17017235 lBF = `0.0200759` Chr`4` : `91,515,265`	0.003	0.997	0.000
rs17002253 lBF = `0.0289258` Chr`4` : `77,771,345`	0.003	0.997	0.000
rs10517270 lBF = `0.0591386` Chr`4` : `33,203,140`	0.003	0.997	0.000
rs3114018 lBF = `14.1623` Chr`4` : `89,064,581`	0.000	0.997	0.003
rs72728723 lBF = `0.0660869` Chr`4` : `140,520,528`	0.003	0.997	0.000
rs362296 lBF = `0.002584` Chr`4` : `3,247,007`	0.003	0.997	0.000
rs1364989 lBF = `-0.0805788` Chr`4` : `55,011,769`	0.003	0.997	0.000
rs2609255 lBF = `-0.0385844` Chr`4` : `89,811,195`	0.000	0.997	0.003
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.002	0.997	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.003	0.997	0.000
rs78538083 lBF = `-0.0248104` Chr`4` : `123,568,409`	0.000	0.997	0.002
rs17183114 lBF = `-0.0537606` Chr`4` : `182,222,727`	0.000	0.997	0.002
rs61731371 lBF = `-0.00448187` Chr`4` : `186,272,721`	0.002	0.997	0.000
rs140913323 lBF = `-0.00548723` Chr`4` : `125,740,709`	0.002	0.997	0.000
rs6447650 lBF = `0.171959` Chr`4` : `40,381,210`	0.002	0.998	0.000
rs183819925 lBF = `-0.0165863` Chr`4` : `176,059,277`	0.002	0.998	0.000
rs1960445 lBF = `0.627674` Chr`4` : `81,930,814`	0.000	0.998	0.002
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.002	0.998	0.000
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.002	0.998	0.000
rs190999252 lBF = `0.0862508` Chr`4` : `92,847,036`	0.002	0.998	0.000
rs1483035 lBF = `-0.0825796` Chr`4` : `156,510,036`	0.002	0.998	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.002	0.998	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.002	0.998	0.000
rs16840900 lBF = `-0.00155301` Chr`4` : `7,717,629`	0.000	0.998	0.002
rs9999118 lBF = `0.152554` Chr`4` : `124,051,467`	0.002	0.998	0.000
rs7675915 lBF = `0.0387758` Chr`4` : `4,678,907`	0.000	0.998	0.002
rs10021303 lBF = `-0.0443518` Chr`4` : `95,856,681`	0.000	0.998	0.002
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.000	0.998	0.002
rs7674482 lBF = `0.0690899` Chr`4` : `45,867,461`	0.002	0.998	0.000
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.002	0.998	0.000
rs10517133 lBF = `-0.0319965` Chr`4` : `45,364,914`	0.002	0.998	0.000
rs13130787 lBF = `-0.0232419` Chr`4` : `94,887,031`	0.000	0.998	0.002
rs2201728 lBF = `-0.0968217` Chr`4` : `100,163,873`	0.002	0.998	0.000
rs4861096 lBF = `-0.0370173` Chr`4` : `41,284,711`	0.000	0.998	0.002
rs2045323 lBF = `-0.0429233` Chr`4` : `154,831,899`	0.002	0.998	0.000
rs11100904 lBF = `0.150228` Chr`4` : `146,904,304`	0.002	0.998	0.000
rs11733975 lBF = `0.11183` Chr`4` : `145,386,473`	0.000	0.998	0.002
rs6820391 lBF = `0.0818202` Chr`4` : `54,414,696`	0.000	0.998	0.001
rs1463104 lBF = `0.00332262` Chr`4` : `88,799,710`	0.002	0.998	0.000
rs62277617 lBF = `-0.0411012` Chr`4` : `7,459,875`	0.002	0.998	0.000
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.998	0.000
rs1487614 lBF = `-0.041619` Chr`4` : `42,269,480`	0.000	0.998	0.002
rs2904090 lBF = `-0.0178447` Chr`4` : `87,132,771`	0.000	0.999	0.001
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs10049992 lBF = `-0.0220891` Chr`4` : `57,939,863`	0.001	0.999	0.000
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.999	0.000
rs1032296 lBF = `3.95143` Chr`4` : `145,434,688`	0.001	0.999	0.000
rs1949200 lBF = `0.0127376` Chr`4` : `67,301,042`	0.001	0.999	0.000
rs2073505 lBF = `0.0255654` Chr`4` : `3,444,503`	0.001	0.999	0.000
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs1512973 lBF = `3.86308` Chr`4` : `123,506,056`	0.000	0.999	0.001
rs7692995 lBF = `0.0653919` Chr`4` : `17,936,634`	0.001	0.999	0.000
rs13119516 lBF = `-0.0504047` Chr`4` : `102,841,605`	0.000	0.999	0.001
rs1493682 lBF = `0.209474` Chr`4` : `121,041,286`	0.000	0.999	0.001
rs16896068 lBF = `0.0539366` Chr`4` : `17,944,840`	0.001	0.999	0.000
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.999	0.001
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.001	0.999	0.000
rs181519890 lBF = `0.0005955` Chr`4` : `87,683,715`	0.001	0.999	0.000
rs7683975 lBF = `0.0253101` Chr`4` : `145,279,701`	0.001	0.999	0.000
rs6845078 lBF = `0.0555976` Chr`4` : `17,952,208`	0.001	0.999	0.000
rs10520514 lBF = `-0.00473912` Chr`4` : `182,782,545`	0.000	0.999	0.001
rs1604805 lBF = `-0.0199349` Chr`4` : `21,571,087`	0.001	0.999	0.000
rs4522865 lBF = `-0.0761473` Chr`4` : `102,715,888`	0.001	0.999	0.000
rs7688932 lBF = `0.0434896` Chr`4` : `145,279,673`	0.001	0.999	0.000
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs6537285 lBF = `0.0259039` Chr`4` : `145,310,147`	0.001	0.999	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4897

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2836

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9877

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9837

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9819

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9804

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9740

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9677

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9654

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9634

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9571

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9569

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9539

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9486

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9465

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9431

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9423

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9388

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9379

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9354

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9335

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9290

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9270

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9143

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9083

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9021

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8804

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8777

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8763

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8729

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8664

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8627

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8588

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8545

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8526

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8483

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8280

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8236

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8136

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8106

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8076

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8035

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8013

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7983

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7904

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7846

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7796

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7783

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7596

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7513

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7495

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7440

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7318

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7288

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7265

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7210

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7128

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7093

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6663

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6657

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6652

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6579

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6337

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6332

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6261

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6240

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6185

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6022

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5995

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5989

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5752

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5695

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5559

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5547

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5529

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5474

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5474

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5473

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5400

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5347

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5347

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5336

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5322

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5276

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5240

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5145

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5056

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5031

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4892

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4889

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4692

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4649

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4441

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4366

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4324

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4311

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4251

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4178

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4111

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3478

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3446

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3376

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3085

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3035

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3012

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2890

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2850

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2444

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2376

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2304

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2283

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2260

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2246

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2148

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2076

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1949

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1942

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1913

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1726

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1655

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1652

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1282

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1242

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1210

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1121

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0932

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0928

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0871

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0790

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0783

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0777

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0750

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0722

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0654

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0593

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0571

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0524

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0517

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`)