TreeWAS – [M79.09] Rheumatism, unspecified (Site unspecified)

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
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	1.000	0.000	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.997	0.003	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.984	0.016	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.981	0.019	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.980	0.020	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.957	0.043	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.948	0.052	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.948	0.052	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.947	0.053	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.943	0.057	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.936	0.064	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.935	0.065	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.935	0.065	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.925	0.075	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.919	0.081	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.913	0.087	0.000
rs1396485 lBF = `3.58056` Chr`5` : `115,512,352`	0.911	0.089	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.905	0.095	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.904	0.096	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.903	0.097	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.898	0.102	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.887	0.113	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.884	0.116	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.884	0.116	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.882	0.118	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.878	0.122	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.873	0.127	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.872	0.128	0.000
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.871	0.129	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.867	0.133	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.866	0.134	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.864	0.136	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.864	0.136	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.863	0.137	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.863	0.137	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.863	0.137	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.863	0.137	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.859	0.141	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.857	0.143	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.854	0.146	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.854	0.146	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.853	0.147	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.853	0.147	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.848	0.152	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.845	0.155	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.843	0.157	0.000
rs17227203 lBF = `5.66998` Chr`21` : `36,415,707`	0.843	0.157	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.842	0.158	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.838	0.162	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.838	0.162	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.833	0.167	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.832	0.168	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.831	0.169	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.830	0.170	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.830	0.170	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.824	0.176	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.822	0.178	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.822	0.178	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.820	0.180	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.819	0.181	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.815	0.185	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.814	0.186	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.814	0.186	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.809	0.191	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.808	0.192	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.807	0.193	0.000
rs202205027 lBF = `17.9756` Chr`1` : `224,621,538`	0.807	0.193	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.806	0.194	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.805	0.195	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.803	0.197	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.800	0.200	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.800	0.200	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.799	0.201	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.798	0.202	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.795	0.205	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.794	0.206	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.792	0.208	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.791	0.209	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.791	0.209	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.788	0.212	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.785	0.215	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.785	0.215	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.783	0.217	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.783	0.217	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.782	0.218	0.000
rs115018313 lBF = `79.0344` Chr`6` : `32,710,407`	0.781	0.219	0.000
rs11773624 lBF = `6.07296` Chr`7` : `12,023,864`	0.780	0.220	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.780	0.220	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.779	0.221	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.779	0.221	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.779	0.221	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.777	0.223	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	0.775	0.225	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.774	0.226	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.774	0.226	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.773	0.227	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.773	0.227	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.773	0.227	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.770	0.230	0.000
rs2248477 lBF = `30.0926` Chr`6` : `31,447,005`	0.768	0.232	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.768	0.232	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.768	0.232	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.767	0.233	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.765	0.235	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.764	0.236	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.763	0.237	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.761	0.239	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.761	0.239	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.757	0.243	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.756	0.244	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.755	0.245	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.755	0.245	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.754	0.246	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.751	0.249	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.750	0.250	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.749	0.251	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.747	0.253	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.746	0.254	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.746	0.254	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.743	0.257	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.743	0.257	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.743	0.257	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.742	0.258	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.742	0.258	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.742	0.258	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.742	0.258	0.000
rs2071554 lBF = `38.7063` Chr`6` : `32,784,676`	0.741	0.259	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.741	0.259	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.741	0.259	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.740	0.260	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.740	0.260	0.000
rs147686985 lBF = `6.61696` Chr`3` : `166,728,917`	0.738	0.262	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.735	0.265	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.734	0.266	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.732	0.267	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.732	0.268	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.732	0.268	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.731	0.269	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.729	0.271	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.728	0.272	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.727	0.273	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.727	0.273	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.727	0.273	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.726	0.274	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.725	0.275	0.000
rs1679153 lBF = `6.7364` Chr`3` : `138,151,971`	0.725	0.275	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.724	0.276	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.723	0.277	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.723	0.277	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.721	0.279	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.720	0.280	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.720	0.280	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.720	0.280	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.719	0.281	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.719	0.281	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.718	0.282	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.717	0.283	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.715	0.285	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.714	0.285	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.714	0.286	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.713	0.287	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.713	0.287	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.710	0.290	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.710	0.290	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.709	0.291	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.709	0.291	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.708	0.292	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.707	0.293	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.707	0.293	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.706	0.294	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.705	0.294	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.705	0.295	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.704	0.296	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.704	0.296	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.704	0.296	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.704	0.296	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.703	0.297	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.702	0.298	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.700	0.300	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.699	0.301	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.698	0.302	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.698	0.302	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.698	0.302	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.698	0.302	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.696	0.304	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.696	0.304	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.695	0.305	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.695	0.305	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.695	0.305	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.694	0.306	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.694	0.306	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.693	0.307	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.693	0.307	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.692	0.308	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.691	0.309	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.690	0.310	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.689	0.311	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.689	0.311	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.687	0.313	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.685	0.315	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.685	0.315	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.682	0.318	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.681	0.319	0.000
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rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.580	0.420	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.578	0.422	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.578	0.422	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.577	0.423	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.577	0.423	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.576	0.424	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.576	0.424	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.576	0.424	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.575	0.425	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.574	0.426	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.574	0.426	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.573	0.427	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.573	0.427	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.573	0.427	0.000
rs17010785 lBF = `11.2492` Chr`1` : `221,965,204`	0.572	0.428	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.572	0.428	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.572	0.428	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.571	0.429	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.571	0.429	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.570	0.430	0.000
rs10494270 lBF = `4.00369` Chr`1` : `151,907,173`	0.570	0.430	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.569	0.431	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.569	0.431	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.569	0.431	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.569	0.431	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.568	0.432	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.568	0.432	0.000
rs2734980 lBF = `103.395` Chr`6` : `29,821,896`	0.568	0.432	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.568	0.432	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.567	0.433	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.567	0.433	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.567	0.433	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.566	0.434	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.565	0.435	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.564	0.436	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.564	0.436	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.562	0.438	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.562	0.438	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.562	0.438	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.562	0.438	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.562	0.438	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.562	0.438	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.561	0.439	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.561	0.439	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.561	0.439	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.561	0.439	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.561	0.439	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.561	0.439	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.560	0.439	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.560	0.440	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.560	0.440	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.560	0.440	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.560	0.440	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.559	0.441	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.559	0.441	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.558	0.441	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.558	0.442	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.558	0.442	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.557	0.443	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.557	0.443	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.556	0.444	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.555	0.445	0.000
rs1265100 lBF = `24.7082` Chr`6` : `31,105,310`	0.555	0.445	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.555	0.445	0.000
rs6693388 lBF = `2.70415` Chr`1` : `151,930,645`	0.555	0.445	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.554	0.446	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.553	0.446	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.554	0.446	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.553	0.446	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.553	0.447	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.553	0.447	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.553	0.447	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.553	0.447	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.552	0.448	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.552	0.448	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.552	0.448	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.552	0.448	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.552	0.448	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.552	0.448	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.552	0.448	0.000
rs10988542 lBF = `0.542065` Chr`9` : `132,657,264`	0.551	0.449	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.550	0.450	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.550	0.450	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.549	0.450	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.549	0.451	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.549	0.451	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.549	0.451	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.549	0.451	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.549	0.451	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.549	0.451	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.548	0.452	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.548	0.452	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.548	0.452	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.547	0.453	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.547	0.453	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 X0100

log Bayes Factor = 730.252

contains 26 variants

0.9997

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9993

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9986

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9974

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9972

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9971

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9968

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9961

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9960

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9947

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9794

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9764

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9745

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9732

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9690

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9644

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9548

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9538

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9524

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9440

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9406

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9365

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9309

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9305

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9287

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9284

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9280

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9118

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9114

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9078

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9010

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9002

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8918

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8859

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8838

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8825

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8677

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8641

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8593

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8392

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8350

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8206

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8054

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8011

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7785

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7669

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7574

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7556

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7368

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7315

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7039

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6781

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6681

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6572

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6433

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6387

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6276

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6241

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6106

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6080

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5911

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5798

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5567

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5468

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5465

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5252

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5191

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5166

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5121

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5114

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5088

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5075

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4987

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4869

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4689

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4633

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4487

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4394

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4383

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4193

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3890

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3799

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3710

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3695

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3638

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3612

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3586

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3535

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3462

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3343

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3144

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3067

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3064

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2865

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2826

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2732

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2632

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2454

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2400

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2322

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2299

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2269

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2228

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2197

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2048

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1919

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1771

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1749

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1692

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1666

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1579

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1549

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1533

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1490

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1405

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1374

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1334

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1327

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1317

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1305

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1265

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1221

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1151

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1136

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1065

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1028

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1025

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0996

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0960

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0933

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0925

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0921

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0919

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0902

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0894

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0831

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0815

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0724

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0715

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0708

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0632

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0599

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0568

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0543

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0527

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0514

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0507

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`)