TreeWAS – [M70.65] Trochanteric bursitis-Pelvic/Thigh

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
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.959	0.041	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.943	0.057	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.933	0.067	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.913	0.087	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.909	0.091	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.860	0.140	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.847	0.153	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.806	0.194	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.804	0.196	0.000
rs11955513 lBF = `5.12159` Chr`5` : `74,336,883`	0.770	0.230	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.754	0.246	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.744	0.256	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.734	0.266	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.722	0.278	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.721	0.278	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.716	0.284	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.708	0.292	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.707	0.293	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.707	0.293	0.000
rs17010785 lBF = `11.2492` Chr`1` : `221,965,204`	0.699	0.301	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.696	0.304	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.696	0.304	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.694	0.306	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.691	0.309	0.000
rs3131638 lBF = `73.433` Chr`6` : `31,475,127`	0.000	0.310	0.690
rs3134899 lBF = `68.5162` Chr`6` : `31,473,286`	0.000	0.311	0.689
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.687	0.313	0.000
rs6934993 lBF = `86.6871` Chr`6` : `29,337,500`	0.686	0.314	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.685	0.315	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.680	0.320	0.000
rs12036282 lBF = `8.24939` Chr`1` : `221,951,794`	0.674	0.326	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.673	0.326	0.000
rs9257794 lBF = `85.5688` Chr`6` : `29,335,661`	0.670	0.330	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.670	0.330	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.664	0.336	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.654	0.346	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.653	0.347	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.652	0.348	0.000
rs1396485 lBF = `3.58056` Chr`5` : `115,512,352`	0.650	0.350	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.650	0.350	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.650	0.350	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.649	0.351	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.646	0.354	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.645	0.355	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.645	0.355	0.000
rs2905722 lBF = `89.046` Chr`6` : `31,449,327`	0.000	0.356	0.644
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.640	0.360	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.639	0.361	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.638	0.362	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.637	0.363	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.637	0.363	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.637	0.363	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.637	0.363	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.634	0.366	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.632	0.368	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.630	0.370	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.623	0.377	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.621	0.379	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.621	0.379	0.000
rs2534674 lBF = `90.8041` Chr`6` : `31,465,103`	0.000	0.379	0.621
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.621	0.379	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.621	0.379	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.619	0.381	0.000
rs3095238 lBF = `53.469` Chr`6` : `31,161,210`	0.000	0.382	0.618
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.615	0.385	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.614	0.386	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.611	0.389	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.611	0.389	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.609	0.391	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.608	0.392	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.607	0.393	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.606	0.394	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.604	0.396	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.604	0.396	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.602	0.398	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.599	0.401	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.599	0.401	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.598	0.402	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.596	0.404	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.596	0.404	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.595	0.405	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.595	0.405	0.000
rs7381988 lBF = `44.4095` Chr`6` : `31,246,703`	0.000	0.407	0.593
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.592	0.408	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.591	0.409	0.000
rs3094609 lBF = `52.5171` Chr`6` : `31,165,566`	0.000	0.409	0.591
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.590	0.410	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.588	0.412	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.587	0.413	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.587	0.413	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.586	0.414	0.000
rs3132469 lBF = `98.3432` Chr`6` : `31,456,567`	0.000	0.414	0.586
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.585	0.415	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.584	0.416	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.578	0.422	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.577	0.423	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.576	0.424	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.574	0.426	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.572	0.428	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.571	0.429	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.571	0.429	0.000
rs9468877 lBF = `43.2627` Chr`6` : `31,142,903`	0.570	0.430	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.569	0.431	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.569	0.431	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.569	0.431	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.569	0.431	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.569	0.431	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.568	0.432	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.567	0.433	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.567	0.433	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.567	0.433	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.566	0.434	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.565	0.435	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.565	0.435	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.565	0.435	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.564	0.435	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.564	0.436	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.564	0.436	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.564	0.436	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.563	0.437	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.562	0.437	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.562	0.438	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.562	0.438	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.562	0.438	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.561	0.439	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.561	0.439	0.000
rs7382297 lBF = `54.9374` Chr`6` : `31,247,067`	0.000	0.439	0.561
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.560	0.440	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.560	0.440	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.560	0.440	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.557	0.443	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.556	0.444	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.555	0.445	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.555	0.445	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.555	0.445	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.551	0.449	0.000
rs1015166 lBF = `175.874` Chr`6` : `32,798,731`	0.551	0.449	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.551	0.449	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.550	0.450	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.550	0.450	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.549	0.451	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.549	0.451	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.549	0.451	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.548	0.452	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.548	0.452	0.000
rs1633021 lBF = `104.806` Chr`6` : `29,746,869`	0.547	0.453	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.547	0.453	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.546	0.453	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.545	0.455	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.543	0.456	0.000
rs2517870 lBF = `101.883` Chr`6` : `29,818,744`	0.543	0.457	0.000
rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.543	0.457	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.542	0.458	0.000
rs2857709 lBF = `104.056` Chr`6` : `31,532,814`	0.000	0.458	0.542
rs75803315 lBF = `6.95989` Chr`6` : `54,030,352`	0.540	0.460	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.539	0.461	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.539	0.461	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.539	0.461	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.539	0.461	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.538	0.462	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.538	0.462	0.000
rs2734980 lBF = `103.395` Chr`6` : `29,821,896`	0.538	0.462	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.538	0.462	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.537	0.463	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.537	0.463	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.537	0.463	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.537	0.463	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.536	0.464	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.535	0.465	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.534	0.465	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.534	0.466	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.534	0.466	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.534	0.466	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.533	0.467	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.533	0.467	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.533	0.467	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.532	0.467	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.532	0.468	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.532	0.468	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.532	0.468	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.532	0.468	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.532	0.468	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.532	0.468	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.531	0.469	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.531	0.469	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.531	0.469	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.531	0.469	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.530	0.470	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.530	0.470	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.530	0.470	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.527	0.473	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.526	0.474	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.526	0.474	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.525	0.475	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.525	0.475	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.525	0.475	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.524	0.476	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.524	0.476	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.524	0.476	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.523	0.477	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.523	0.477	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.522	0.478	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.522	0.478	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.522	0.478	0.000
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rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.449	0.551	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.449	0.551	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.449	0.551	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.448	0.551	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.448	0.552	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.448	0.552	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.447	0.553	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.447	0.553	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.447	0.553	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.447	0.553	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.447	0.553	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.446	0.554	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.446	0.554	0.000
rs3130532 lBF = `51.2685` Chr`6` : `31,208,453`	0.000	0.555	0.445
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.445	0.555	0.000
rs2523700 lBF = `234.948` Chr`6` : `31,453,029`	0.445	0.555	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.445	0.555	0.000
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.445	0.555	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.445	0.555	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.445	0.555	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.445	0.555	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.444	0.555	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.444	0.556	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.444	0.556	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.444	0.556	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.444	0.556	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.443	0.557	0.000
rs1704996 lBF = `30.724` Chr`6` : `33,182,895`	0.443	0.557	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.443	0.557	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.442	0.558	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.442	0.558	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.442	0.558	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.441	0.559	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.441	0.559	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.441	0.559	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.441	0.559	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.441	0.559	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.441	0.559	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.441	0.559	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.440	0.560	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.440	0.560	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.440	0.560	0.000
rs4711253 lBF = `43.79` Chr`6` : `31,007,081`	0.440	0.560	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.440	0.560	0.000
rs202205027 lBF = `17.9756` Chr`1` : `224,621,538`	0.439	0.560	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.439	0.561	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.439	0.561	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.439	0.561	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.438	0.561	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.438	0.562	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.437	0.563	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.437	0.563	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.437	0.563	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.437	0.563	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.437	0.563	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.437	0.563	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.437	0.563	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.437	0.563	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.437	0.563	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.437	0.563	0.000
rs3132503 lBF = `48.8767` Chr`6` : `31,179,006`	0.000	0.563	0.437
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.436	0.564	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.436	0.564	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.435	0.564	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.435	0.564	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.435	0.565	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.435	0.565	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.435	0.565	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.434	0.565	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.434	0.565	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.434	0.566	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.433	0.566	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.433	0.567	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.433	0.567	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.433	0.567	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.433	0.567	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.433	0.567	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.432	0.567	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.432	0.568	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.432	0.568	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.432	0.568	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.432	0.568	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.432	0.568	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.431	0.569	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.431	0.569	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.431	0.569	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.430	0.570	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.430	0.570	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.430	0.570	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.430	0.570	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.429	0.571	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.429	0.571	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.429	0.571	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9983

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9942

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9667

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9660

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9602

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9567

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9564

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9463

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9431

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9423

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9369

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9328

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9096

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9070

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.8896

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8723

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8639

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8559

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8388

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8215

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8177

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8146

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8106

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7946

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7891

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7884

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7859

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7847

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7794

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7720

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7704

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7628

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7566

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7499

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7486

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7463

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7392

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7322

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7311

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7306

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7289

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6994

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6865

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6683

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6682

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6599

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6587

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6565

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6453

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6407

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6280

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6230

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6200

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6195

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.6117

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6113

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6081

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6056

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5921

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5908

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5893

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5711

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5706

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5650

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5593

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5551

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5494

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5368

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5364

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5339

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5278

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5274

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5253

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5135

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5094

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5063

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5034

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4997

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4986

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4963

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4942

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4941

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4940

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4934

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4896

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4836

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4800

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4740

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4669

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4643

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4641

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4618

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4567

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4536

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4508

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4484

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4446

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4411

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4400

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4360

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4354

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4339

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4339

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4293

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4273

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4242

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4239

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4208

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4114

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4102

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3992

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3881

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3778

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3773

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3720

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3598

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3587

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3549

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3520

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3472

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3430

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3309

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3248

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3057

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3015

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2996

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2817

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2815

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2799

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2726

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2626

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2561

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2440

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2423

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2398

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2238

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2217

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2134

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2131

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2117

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2009

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1969

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1949

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1908

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1863

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1804

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1786

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1785

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1741

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1730

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1720

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1687

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1549

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1535

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1486

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1472

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1360

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1300

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1281

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1268

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1257

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1207

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1178

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1174

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.1120

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1085

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1085

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1084

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1082

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0951

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0926

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0853

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0850

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0811

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0807

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0788

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0692

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0681

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0670

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0666

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0651

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0615

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0549

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`)