TreeWAS – [M79.68] Pain in limb (Other)

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
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.823	0.177	0.000
rs1396485 lBF = `3.58056` Chr`5` : `115,512,352`	0.818	0.182	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.785	0.215	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.777	0.223	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.775	0.225	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.767	0.233	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.767	0.233	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.760	0.240	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.753	0.247	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.749	0.251	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.747	0.253	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.727	0.273	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.717	0.283	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.717	0.283	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.717	0.283	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.717	0.283	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.717	0.283	0.000
rs17130931 lBF = `5.74152` Chr`1` : `90,387,054`	0.717	0.283	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.717	0.283	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.716	0.283	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.716	0.284	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.716	0.284	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.715	0.285	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.715	0.285	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.715	0.285	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.714	0.285	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.714	0.286	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.714	0.286	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.714	0.286	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.714	0.286	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.714	0.286	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.713	0.286	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.713	0.286	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.713	0.287	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.713	0.287	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.713	0.287	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.713	0.287	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.713	0.287	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.711	0.289	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.711	0.289	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.711	0.289	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.710	0.290	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.710	0.290	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.710	0.290	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.709	0.291	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.709	0.291	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.709	0.291	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.709	0.291	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.708	0.292	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.708	0.292	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.708	0.292	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.708	0.292	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.708	0.292	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.707	0.293	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.707	0.293	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.707	0.293	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.707	0.293	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.707	0.293	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.706	0.294	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.706	0.294	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.706	0.294	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.706	0.294	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.705	0.294	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.705	0.295	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.705	0.295	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.705	0.295	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.705	0.295	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.704	0.296	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.704	0.296	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.704	0.296	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.703	0.297	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.703	0.297	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.703	0.297	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.702	0.298	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.702	0.298	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.701	0.298	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.700	0.300	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.700	0.300	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.700	0.300	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.699	0.301	0.000
rs6427196 lBF = `150.089` Chr`1` : `169,481,223`	0.000	0.301	0.699
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.699	0.301	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.699	0.301	0.000
rs11955513 lBF = `5.12159` Chr`5` : `74,336,883`	0.698	0.301	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.698	0.301	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.698	0.302	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.697	0.303	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.697	0.303	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.696	0.304	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.696	0.304	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.695	0.304	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.695	0.305	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.695	0.305	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.695	0.305	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.695	0.305	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.694	0.305	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.694	0.306	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.694	0.306	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.694	0.306	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.694	0.306	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.694	0.306	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.693	0.306	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.693	0.307	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.693	0.307	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.693	0.307	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.692	0.307	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.692	0.307	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.692	0.308	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.692	0.308	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.692	0.308	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.692	0.308	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.692	0.308	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.692	0.308	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.691	0.309	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.691	0.309	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.690	0.310	0.000
rs114215172 lBF = `73.1539` Chr`6` : `31,381,062`	0.690	0.310	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.689	0.311	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.689	0.311	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.689	0.311	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.689	0.311	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.689	0.311	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.689	0.311	0.000
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.688	0.312	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.686	0.313	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.686	0.314	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.685	0.314	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.685	0.314	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.685	0.315	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.685	0.315	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.685	0.315	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.684	0.315	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.684	0.316	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.683	0.317	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.683	0.317	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.682	0.318	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.682	0.318	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.682	0.318	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.681	0.319	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.680	0.320	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.680	0.320	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.679	0.321	0.000
rs114109373 lBF = `78.3793` Chr`6` : `31,381,205`	0.679	0.321	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.678	0.321	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.678	0.322	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.678	0.322	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.678	0.322	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.677	0.323	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.677	0.323	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.676	0.323	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.676	0.324	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.676	0.324	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.676	0.324	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.676	0.324	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.675	0.325	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.675	0.325	0.000
rs12660817 lBF = `9.11468` Chr`6` : `31,336,757`	0.675	0.325	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.674	0.325	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.674	0.326	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.674	0.326	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.674	0.326	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.673	0.327	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.673	0.327	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.672	0.328	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.672	0.328	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.671	0.329	0.000
rs12515891 lBF = `6.44113` Chr`5` : `74,317,380`	0.671	0.329	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.671	0.329	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.671	0.329	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.670	0.329	0.000
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.670	0.330	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.670	0.330	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.669	0.330	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.669	0.331	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.668	0.332	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.668	0.332	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.668	0.332	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.668	0.332	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.667	0.332	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.667	0.333	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.667	0.333	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.666	0.333	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.666	0.334	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.665	0.335	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.665	0.335	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.665	0.335	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.665	0.335	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.664	0.336	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.663	0.337	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.663	0.337	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.663	0.337	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.663	0.337	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.662	0.338	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.662	0.338	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.662	0.338	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.662	0.338	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.661	0.338	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.661	0.339	0.000
rs17191405 lBF = `17.5591` Chr`6` : `31,221,014`	0.661	0.339	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.660	0.340	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.660	0.340	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.659	0.340	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.659	0.341	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.659	0.341	0.000
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rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.597	0.403	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.597	0.403	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.597	0.403	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.597	0.403	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.597	0.403	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.596	0.403	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.594	0.406	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.594	0.406	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.593	0.406	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.593	0.407	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.593	0.407	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.593	0.407	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.593	0.407	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.593	0.407	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.593	0.407	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.592	0.408	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.592	0.408	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.592	0.408	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.592	0.408	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.591	0.408	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.591	0.409	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.591	0.409	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.591	0.409	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.591	0.409	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.590	0.410	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.590	0.410	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.590	0.410	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.590	0.410	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.590	0.410	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.589	0.410	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.589	0.411	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.589	0.411	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.589	0.411	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.588	0.412	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.588	0.412	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.587	0.413	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.587	0.413	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.587	0.413	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.587	0.413	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.587	0.413	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.586	0.413	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.586	0.414	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.585	0.414	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.585	0.414	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.585	0.415	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.585	0.415	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.585	0.415	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.585	0.415	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.585	0.415	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.585	0.415	0.000
rs331079 lBF = `0.733086` Chr`5` : `127,770,805`	0.585	0.415	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.584	0.415	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.584	0.416	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.584	0.416	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.584	0.416	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.583	0.417	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.583	0.417	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.583	0.417	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.583	0.417	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.583	0.417	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.583	0.417	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.583	0.417	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.583	0.417	0.000
rs10947210 lBF = `10.1686` Chr`6` : `31,417,742`	0.583	0.417	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.582	0.417	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.582	0.418	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.582	0.418	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.581	0.419	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.581	0.419	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.581	0.419	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.580	0.419	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.580	0.420	0.000
rs2894202 lBF = `51.3543` Chr`6` : `31,233,270`	0.000	0.420	0.580
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.579	0.421	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.579	0.421	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.579	0.421	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.579	0.421	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.578	0.422	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.578	0.422	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.577	0.422	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.577	0.423	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.577	0.423	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.577	0.423	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.576	0.423	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.576	0.424	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.576	0.424	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.575	0.424	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.575	0.424	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.575	0.424	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.575	0.425	0.000
rs3798305 lBF = `1.4473` Chr`6` : `167,363,473`	0.575	0.425	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.575	0.425	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.575	0.425	0.000
rs75578006 lBF = `5.03035` Chr`1` : `21,346,104`	0.575	0.425	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 X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8516

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8494

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8452

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8129

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8117

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8047

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7968

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7877

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7609

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7168

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7168

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7167

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7167

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7166

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7165

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7165

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7158

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7156

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7152

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7152

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7151

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7146

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7144

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7141

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7136

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7124

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7118

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7113

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7111

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7090

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7088

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7080

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7075

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7067

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7056

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7037

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7031

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6959

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6956

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6936

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6925

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6921

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6911

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6902

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6884

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6871

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6850

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6843

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6798

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6797

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6764

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6759

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6753

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6745

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6655

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6569

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6505

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6487

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6484

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6441

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6383

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6321

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6292

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6233

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6232

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5945

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5905

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5855

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5847

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5806

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5786

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5775

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5664

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5644

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5559

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5550

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5537

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5442

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5316

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5312

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5216

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5205

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5123

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5051

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4766

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4724

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4710

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4637

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4607

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4492

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4424

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4416

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4198

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4135

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4101

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3863

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3814

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3736

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3729

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3594

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3493

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3395

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3239

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3226

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3139

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3056

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2881

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2741

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2538

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2435

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2378

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2153

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2047

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2027

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1957

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1672

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1625

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1621

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1510

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1505

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1430

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1383

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1172

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1136

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1131

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1051

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0931

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0742

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0693

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0671

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0657

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0642

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0597

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0538

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0528

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`)