TreeWAS – [M65.97] Synovitis and tenosynovitis, unspecified (Ankle and foot)

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
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.723	0.277	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.692	0.308	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.646	0.354	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.617	0.383	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.615	0.385	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.587	0.413	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.575	0.424	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.572	0.428	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.559	0.441	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.545	0.455	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.544	0.456	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.538	0.462	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.535	0.465	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.529	0.471	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.524	0.476	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.512	0.488	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.505	0.495	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.490	0.510	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.484	0.516	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.484	0.516	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.474	0.526	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.470	0.530	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.467	0.532	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.466	0.534	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.453	0.547	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.453	0.547	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.449	0.551	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.443	0.556	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.443	0.557	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.442	0.558	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.441	0.558	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.441	0.559	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.434	0.566	0.000
rs17035310 lBF = `0.857621` Chr`4` : `106,064,754`	0.430	0.570	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.427	0.573	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.421	0.579	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.415	0.585	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.412	0.588	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.412	0.588	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.409	0.591	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.406	0.593	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.404	0.596	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.400	0.600	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.394	0.606	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.391	0.609	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.385	0.615	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.385	0.615	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.377	0.623	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.377	0.623	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.376	0.624	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.371	0.629	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.368	0.632	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.367	0.633	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.366	0.634	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.365	0.635	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.364	0.636	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.362	0.638	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.361	0.639	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.361	0.639	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.358	0.642	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.358	0.642	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.357	0.643	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.355	0.645	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.351	0.648	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.349	0.650	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.345	0.655	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.345	0.655	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.343	0.656	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.343	0.657	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.343	0.657	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.342	0.657	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.339	0.660	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.329	0.671	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.327	0.672	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.327	0.672	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.326	0.674	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.325	0.675	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.322	0.677	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.321	0.679	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.320	0.680	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.317	0.683	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.684	0.315
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.315	0.685	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.309	0.690	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.308	0.692	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.305	0.695	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.302	0.698	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.301	0.699	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.300	0.699	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.299	0.701	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.295	0.705	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.293	0.707	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.293	0.707	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.293	0.707	0.000
rs16850885 lBF = `1.5091` Chr`4` : `75,170,140`	0.290	0.710	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.289	0.711	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.289	0.711	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.283	0.717	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.282	0.718	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.282	0.718	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.281	0.719	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.281	0.719	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.280	0.719	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.279	0.721	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.277	0.723	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.276	0.724	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.274	0.726	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.273	0.727	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.272	0.728	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.271	0.729	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.269	0.731	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.268	0.732	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.267	0.733	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.265	0.734	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.265	0.735	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.263	0.737	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.262	0.738	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.261	0.739	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.260	0.740	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.256	0.744	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.255	0.744	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.255	0.745	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.253	0.747	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.253	0.747	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.251	0.749	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.251	0.749	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.250	0.750	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.250	0.750	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.249	0.751	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.249	0.751	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.247	0.753	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.245	0.755	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.244	0.756	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.244	0.756	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.243	0.757	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.243	0.757	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.242	0.757	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.242	0.758	0.000
rs17484474 lBF = `0.150019` Chr`4` : `82,126,121`	0.242	0.758	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.241	0.759	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.239	0.760	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.239	0.761	0.000
rs17199964 lBF = `7.22049` Chr`4` : `102,707,791`	0.239	0.761	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.238	0.762	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.237	0.762	0.000
rs2579330 lBF = `0.275472` Chr`4` : `72,126,889`	0.237	0.762	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.234	0.766	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.234	0.766	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.232	0.767	0.000
rs7672495 lBF = `0.343551` Chr`4` : `4,992,367`	0.232	0.768	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.232	0.768	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.230	0.769	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.229	0.770	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.229	0.770	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.227	0.772	0.000
rs16850864 lBF = `1.15468` Chr`4` : `75,160,824`	0.228	0.772	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.227	0.772	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.225	0.775	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.224	0.776	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.223	0.777	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.222	0.778	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.219	0.781	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.219	0.781	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.218	0.782	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.218	0.782	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.215	0.785	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.214	0.786	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.212	0.788	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.210	0.790	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.207	0.792	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.205	0.795	0.000
rs6858365 lBF = `0.381368` Chr`4` : `12,172,669`	0.205	0.795	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.205	0.795	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.200	0.800	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.198	0.802	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.198	0.802	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.198	0.802	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.198	0.802	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.198	0.802	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.198	0.802	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.198	0.802	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.198	0.802	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.198	0.802	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.198	0.802	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.198	0.802	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.197	0.802	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.197	0.802	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.197	0.803	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.196	0.803	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.196	0.804	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.196	0.804	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.196	0.804	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.194	0.805	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.194	0.806	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.192	0.808	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.190	0.810	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.188	0.811	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.188	0.811	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.187	0.812	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.186	0.813	0.000
rs55901496 lBF = `0.333042` Chr`4` : `98,549,992`	0.187	0.813	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.187	0.813	0.000
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rs181099388 lBF = `-0.0116624` Chr`4` : `39,462,030`	0.004	0.996	0.000
rs6535028 lBF = `0.140819` Chr`4` : `135,537,719`	0.004	0.996	0.000
rs7671167 lBF = `-0.0532206` Chr`4` : `89,883,979`	0.000	0.996	0.004
rs4470690 lBF = `-0.00044276` Chr`4` : `188,721,512`	0.000	0.996	0.004
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.004	0.996	0.000
rs189421534 lBF = `0.00665442` Chr`4` : `9,592,033`	0.003	0.996	0.000
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.003	0.996	0.000
rs13115750 lBF = `-0.0744936` Chr`4` : `182,480,575`	0.000	0.996	0.004
rs7698171 lBF = `5.08652` Chr`4` : `95,089,869`	0.004	0.996	0.000
rs11731175 lBF = `0.0645442` Chr`4` : `189,861,251`	0.000	0.996	0.004
rs10010325 lBF = `0.428385` Chr`4` : `106,106,353`	0.000	0.997	0.003
rs150759334 lBF = `-0.0108331` Chr`4` : `61,666,246`	0.003	0.997	0.000
rs2904259 lBF = `-0.055513` Chr`4` : `89,885,714`	0.000	0.997	0.003
rs2013701 lBF = `-0.0550925` Chr`4` : `89,885,086`	0.000	0.997	0.003
rs190797076 lBF = `0.00324361` Chr`4` : `111,511,087`	0.003	0.997	0.000
rs6834555 lBF = `9.33257` Chr`4` : `10,062,326`	0.000	0.997	0.003
rs6841898 lBF = `0.0365922` Chr`4` : `24,578,097`	0.003	0.997	0.000
rs1878528 lBF = `-0.0730735` Chr`4` : `82,184,234`	0.003	0.997	0.000
rs11059 lBF = `15.2196` Chr`4` : `151,185,651`	0.003	0.997	0.000
rs72697068 lBF = `-0.00361685` Chr`4` : `164,193,673`	0.003	0.997	0.000
rs491376 lBF = `0.00435815` Chr`4` : `13,116,762`	0.003	0.997	0.000
rs3857043 lBF = `-0.0808767` Chr`4` : `89,882,590`	0.000	0.997	0.003
rs3846287 lBF = `-0.082139` Chr`4` : `89,883,112`	0.000	0.997	0.003
rs77389579 lBF = `0.0218785` Chr`4` : `143,538,511`	0.003	0.997	0.000
rs10517287 lBF = `0.0342819` Chr`4` : `33,624,702`	0.003	0.997	0.000
rs7666831 lBF = `0.00553227` Chr`4` : `93,321,027`	0.003	0.997	0.000
rs72728723 lBF = `0.0660869` Chr`4` : `140,520,528`	0.003	0.997	0.000
rs6834498 lBF = `0.212149` Chr`4` : `189,565,170`	0.000	0.997	0.003
rs788867 lBF = `-0.0953575` Chr`4` : `82,150,006`	0.003	0.997	0.000
rs6847149 lBF = `0.197361` Chr`4` : `110,800,097`	0.003	0.997	0.000
rs17556750 lBF = `-0.0866567` Chr`4` : `82,155,568`	0.003	0.997	0.000
rs6824218 lBF = `0.109926` Chr`4` : `89,841,070`	0.000	0.997	0.003
rs207282 lBF = `-0.0559939` Chr`4` : `19,108,884`	0.003	0.997	0.000
rs10517270 lBF = `0.0591386` Chr`4` : `33,203,140`	0.002	0.997	0.000
rs7671261 lBF = `-0.0802447` Chr`4` : `89,883,818`	0.000	0.997	0.003
rs222054 lBF = `0.0395729` Chr`4` : `72,604,299`	0.002	0.997	0.000
rs2664035 lBF = `0.661831` Chr`4` : `48,220,839`	0.002	0.998	0.000
rs71610881 lBF = `-0.0334894` Chr`4` : `26,003,646`	0.002	0.998	0.000
rs1350666 lBF = `-0.052395` Chr`4` : `75,224,590`	0.002	0.998	0.000
rs1903003 lBF = `-0.0786235` Chr`4` : `89,886,297`	0.000	0.998	0.002
rs7690839 lBF = `0.274707` Chr`4` : `89,819,324`	0.000	0.998	0.002
rs4693980 lBF = `-0.0823313` Chr`4` : `89,885,988`	0.000	0.998	0.002
rs1964516 lBF = `-0.00582168` Chr`4` : `89,875,909`	0.000	0.998	0.002
rs3733606 lBF = `-0.0094439` Chr`4` : `6,883,012`	0.000	0.998	0.002
rs781542 lBF = `0.00045783` Chr`4` : `57,687,304`	0.000	0.998	0.002
rs11733008 lBF = `-0.0354621` Chr`4` : `88,671,938`	0.000	0.998	0.002
rs4505789 lBF = `0.189109` Chr`4` : `89,825,615`	0.000	0.998	0.002
rs7660345 lBF = `0.229822` Chr`4` : `187,921,499`	0.000	0.998	0.002
rs994014 lBF = `-0.100548` Chr`4` : `82,165,790`	0.002	0.998	0.000
rs13149750 lBF = `0.0813276` Chr`4` : `89,854,994`	0.000	0.998	0.002
rs4693978 lBF = `0.0710196` Chr`4` : `89,854,167`	0.000	0.998	0.002
rs10008568 lBF = `0.0710196` Chr`4` : `89,854,192`	0.000	0.998	0.002
rs6828740 lBF = `0.0298342` Chr`4` : `118,334,619`	0.002	0.998	0.000
rs1562975 lBF = `-0.0228804` Chr`4` : `109,408,608`	0.002	0.998	0.000
rs1429138 lBF = `0.040284` Chr`4` : `148,282,342`	0.000	0.998	0.002
rs1458562 lBF = `0.0383387` Chr`4` : `89,853,598`	0.000	0.998	0.002
rs2358462 lBF = `-0.026819` Chr`4` : `149,570,680`	0.000	0.998	0.002
rs4835265 lBF = `0.517274` Chr`4` : `146,821,410`	0.002	0.998	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.002	0.998	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.002	0.998	0.000
rs2006970 lBF = `-0.0912941` Chr`4` : `43,320,507`	0.000	0.998	0.002
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.000	0.998	0.002
rs11097407 lBF = `0.170242` Chr`4` : `95,146,135`	0.000	0.998	0.002
rs17014483 lBF = `0.0121153` Chr`4` : `89,667,591`	0.002	0.998	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.002	0.998	0.000
rs10489087 lBF = `0.0353696` Chr`4` : `13,794,416`	0.002	0.998	0.000
rs6832720 lBF = `0.0275606` Chr`4` : `58,148,386`	0.002	0.998	0.000
rs6838440 lBF = `-0.0941808` Chr`4` : `113,328,078`	0.002	0.998	0.000
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.001	0.998	0.001
rs16898029 lBF = `-0.0508348` Chr`4` : `19,047,617`	0.002	0.998	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.000	0.998	0.002
rs1503874 lBF = `-0.0384585` Chr`4` : `18,128,641`	0.000	0.998	0.002
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.001	0.998	0.000
rs11724804 lBF = `-0.0185699` Chr`4` : `965,779`	0.002	0.998	0.000
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.001	0.998	0.000
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.000	0.998	0.001
rs6840361 lBF = `0.0433636` Chr`4` : `163,738,121`	0.002	0.998	0.000
rs1604805 lBF = `-0.0199349` Chr`4` : `21,571,087`	0.002	0.998	0.000
rs2383393 lBF = `-0.0323084` Chr`4` : `180,664,653`	0.000	0.998	0.002
rs2677780 lBF = `0.0632711` Chr`4` : `16,022,540`	0.001	0.998	0.000
rs2531154 lBF = `0.0783062` Chr`4` : `16,018,324`	0.001	0.998	0.000
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs13124827 lBF = `0.124244` Chr`4` : `157,340,210`	0.001	0.998	0.000
rs4696584 lBF = `0.72602` Chr`4` : `155,397,517`	0.001	0.998	0.000
rs78538083 lBF = `-0.0248104` Chr`4` : `123,568,409`	0.001	0.998	0.000
rs999784 lBF = `14.0043` Chr`4` : `151,208,778`	0.001	0.999	0.000
rs4698023 lBF = `9.70086` Chr`4` : `10,304,726`	0.000	0.999	0.001
rs12644436 lBF = `-0.0196986` Chr`4` : `88,805,208`	0.000	0.999	0.001
rs7693389 lBF = `0.036335` Chr`4` : `58,464,353`	0.000	0.999	0.001
rs7664805 lBF = `0.00765171` Chr`4` : `106,843,958`	0.001	0.999	0.000
rs113991851 lBF = `-0.00564514` Chr`4` : `12,026,867`	0.001	0.999	0.001
rs4234798 lBF = `-0.103911` Chr`4` : `7,219,933`	0.001	0.999	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.001	0.999	0.000
rs7659604 lBF = `0.187348` Chr`4` : `122,665,514`	0.000	0.999	0.001
rs2389202 lBF = `0.0765926` Chr`4` : `117,254,289`	0.001	0.999	0.000
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.999	0.000
rs13103557 lBF = `-0.00199234` Chr`4` : `59,867,903`	0.001	0.999	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.001	0.999	0.001
rs2859815 lBF = `-0.0158752` Chr`4` : `166,672,836`	0.000	0.999	0.001
rs7691216 lBF = `-0.0715472` Chr`4` : `86,129,616`	0.000	0.999	0.001

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 X0205

log Bayes Factor = 674.183

contains 18 variants

0.9877

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9772

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9770

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9719

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9707

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9682

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9545

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9515

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9495

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9428

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9406

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9245

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9234

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9216

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9189

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8966

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8843

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8830

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8813

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8745

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8683

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8598

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8527

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8493

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8443

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8416

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8353

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8297

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8284

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8279

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8266

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8214

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8121

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8083

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7814

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7743

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7453

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7449

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7448

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7443

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7259

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7241

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7230

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7202

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7102

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7083

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7067

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6997

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6930

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6916

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6850

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6736

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6407

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6389

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6347

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6342

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6242

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6052

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5934

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5872

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5824

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5588

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5573

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5572

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5545

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5475

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.5471

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5325

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5294

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5270

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5261

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5133

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5127

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5055

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4974

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4911

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4810

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4807

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4765

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4569

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4461

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4448

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4431

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4393

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4390

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4383

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4277

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4254

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4055

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4008

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3973

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3935

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3863

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3729

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3630

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3543

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3496

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3472

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3461

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3444

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3365

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3348

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3323

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3295

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3239

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3142

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3092

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3061

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2940

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2922

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2875

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2745

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2725

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2550

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2497

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2429

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2396

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2330

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2316

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2251

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2231

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2095

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2067

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2001

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1998

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1979

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1959

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1906

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1905

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1860

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1779

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1727

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1667

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1638

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1581

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1581

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1542

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1482

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1448

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1431

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1390

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1387

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1337

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1335

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1328

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1309

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1296

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1289

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1281

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1264

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1186

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1178

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1161

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1063

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1052

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1010

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0999

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0974

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0886

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0857

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0840

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0831

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0804

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0737

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0685

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0677

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0675

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0658

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0636

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0629

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0609

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0605

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0589

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0569

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0563

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0541

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0503

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`)