TreeWAS – [M54.96] Dorsalgia, unspecified (Lumbar region)

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
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.937	0.063	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.934	0.066	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.922	0.078	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.916	0.084	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.914	0.086	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.909	0.091	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.894	0.106	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.888	0.112	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.877	0.123	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.871	0.129	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.865	0.135	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.865	0.135	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.864	0.136	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.862	0.138	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.860	0.140	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.858	0.142	0.000
rs2037723 lBF = `1.89195` Chr`2` : `78,539,666`	0.852	0.148	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.850	0.150	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.848	0.152	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.846	0.154	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.844	0.156	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.836	0.164	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.835	0.165	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.835	0.165	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.833	0.167	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.833	0.167	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.830	0.170	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.825	0.175	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.823	0.177	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.818	0.182	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.817	0.183	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.815	0.185	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.813	0.187	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.812	0.188	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.812	0.188	0.000
rs4590689 lBF = `6.35595` Chr`1` : `103,264,964`	0.000	0.189	0.811
rs9491891 lBF = `4.23462` Chr`6` : `128,277,151`	0.810	0.190	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.808	0.192	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.804	0.196	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.803	0.197	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.802	0.198	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.800	0.200	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.796	0.204	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.796	0.204	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.794	0.206	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.794	0.206	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.793	0.207	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.793	0.207	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.793	0.207	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.793	0.207	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.792	0.208	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.790	0.210	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.788	0.212	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.786	0.214	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.786	0.214	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.786	0.214	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.784	0.216	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.784	0.216	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.784	0.216	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.782	0.218	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.781	0.219	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.778	0.222	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.777	0.223	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.776	0.224	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.776	0.224	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.773	0.227	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.773	0.227	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.772	0.228	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.772	0.228	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.772	0.228	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.771	0.229	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.771	0.229	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.770	0.230	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.769	0.231	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.767	0.233	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.764	0.236	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.764	0.236	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.762	0.237	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.762	0.238	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.762	0.238	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.761	0.239	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.760	0.240	0.000
rs72819097 lBF = `6.00972` Chr`2` : `78,461,082`	0.757	0.243	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.756	0.244	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.755	0.245	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.751	0.249	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.749	0.251	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.749	0.251	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.749	0.251	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.748	0.252	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.748	0.252	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.748	0.252	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.747	0.253	0.000
rs9844666 lBF = `1.93439` Chr`3` : `135,974,216`	0.745	0.255	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.744	0.256	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.743	0.257	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.742	0.258	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.738	0.262	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.738	0.262	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.738	0.262	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.737	0.263	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.735	0.265	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.735	0.265	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.735	0.265	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.734	0.266	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.732	0.267	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.732	0.268	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.732	0.268	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.731	0.269	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.731	0.269	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.730	0.270	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.728	0.272	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.727	0.273	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.726	0.274	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.726	0.274	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.725	0.275	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.724	0.276	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.723	0.277	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.723	0.277	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.723	0.277	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.722	0.278	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.719	0.281	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.716	0.284	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.715	0.285	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.715	0.285	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.714	0.286	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.711	0.289	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.710	0.290	0.000
rs9880211 lBF = `1.53818` Chr`3` : `136,107,549`	0.709	0.291	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.709	0.291	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.708	0.292	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.708	0.292	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.708	0.292	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.706	0.294	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.704	0.296	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.704	0.296	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.703	0.297	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.702	0.298	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.702	0.298	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.702	0.298	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.701	0.299	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.701	0.299	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.700	0.300	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.700	0.300	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.699	0.301	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.698	0.302	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.697	0.303	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.696	0.304	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.696	0.304	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.696	0.304	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.696	0.304	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.695	0.305	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.694	0.306	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.694	0.306	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.693	0.306	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.693	0.307	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.690	0.310	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.690	0.310	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.689	0.310	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.688	0.312	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.688	0.312	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.687	0.312	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.687	0.313	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.685	0.315	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.685	0.315	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.684	0.315	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.684	0.316	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.684	0.316	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.683	0.317	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.683	0.317	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.682	0.318	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.681	0.319	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.681	0.319	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.681	0.319	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.680	0.320	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.680	0.320	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.679	0.321	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.678	0.322	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.678	0.322	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.678	0.322	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.678	0.322	0.000
rs6670062 lBF = `2.87632` Chr`1` : `247,261,125`	0.676	0.324	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.675	0.325	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.674	0.326	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.673	0.327	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.673	0.327	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.673	0.327	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.672	0.328	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.672	0.328	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.672	0.328	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.671	0.329	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.670	0.330	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.670	0.330	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.669	0.331	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.669	0.331	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.669	0.331	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.668	0.332	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.667	0.333	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.667	0.333	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.667	0.333	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.666	0.334	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.666	0.334	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.666	0.334	0.000
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rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.590	0.410	0.000
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rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.571	0.429	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.571	0.429	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.569	0.430	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.569	0.431	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.569	0.431	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.568	0.432	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.568	0.432	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.567	0.432	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.567	0.433	0.000
rs139052640 lBF = `3.08938` Chr`1` : `212,728,370`	0.567	0.433	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.567	0.433	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.567	0.433	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.566	0.434	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.566	0.434	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.566	0.434	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.566	0.434	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.566	0.434	0.000
rs3753841 lBF = `6.30292` Chr`1` : `103,379,918`	0.000	0.435	0.565
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.565	0.435	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.565	0.435	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.564	0.435	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.564	0.436	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.564	0.436	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.564	0.436	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.564	0.436	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.563	0.437	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.563	0.437	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.563	0.437	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.562	0.438	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.562	0.438	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.562	0.438	0.000
rs379440 lBF = `2.52889` Chr`5` : `111,693,371`	0.561	0.439	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.560	0.440	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.560	0.440	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.560	0.440	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.559	0.440	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.559	0.441	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.559	0.441	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.558	0.442	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.558	0.442	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.558	0.442	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.557	0.443	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.557	0.443	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.556	0.444	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.556	0.444	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.556	0.444	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.556	0.444	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.556	0.444	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.556	0.444	0.000
rs1531070 lBF = `0.29748` Chr`4` : `140,795,327`	0.000	0.444	0.556
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.555	0.445	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.555	0.445	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.555	0.445	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.554	0.445	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.554	0.446	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.553	0.447	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.553	0.447	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.553	0.447	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.552	0.448	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.552	0.448	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.552	0.448	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.552	0.448	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.551	0.448	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.551	0.449	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.551	0.449	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.550	0.450	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.550	0.450	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.550	0.450	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.550	0.450	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.549	0.451	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.549	0.451	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.548	0.452	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.548	0.452	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.548	0.452	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.548	0.452	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.547	0.453	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.546	0.454	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.545	0.454	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.545	0.455	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.545	0.455	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.545	0.455	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.544	0.456	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.544	0.456	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.543	0.457	0.000
rs79223353 lBF = `0.90905` Chr`3` : `123,139,863`	0.543	0.457	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.543	0.457	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.542	0.458	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.541	0.458	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.541	0.458	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.541	0.459	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.541	0.459	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.541	0.459	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.540	0.460	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.540	0.460	0.000
rs140130327 lBF = `0.732391` Chr`3` : `191,341,579`	0.540	0.460	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0099

log Bayes Factor = 16.3687

contains 3 variants

0.5358

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9953

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9900

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9871

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9822

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9727

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9719

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9715

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9625

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9610

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9597

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9586

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9575

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9411

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9340

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9296

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9289

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9275

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9102

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9075

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8939

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8850

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8846

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8713

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8679

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8591

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8588

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8576

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8472

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8391

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8349

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8284

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8220

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8128

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8083

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8072

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7961

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7946

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7920

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7804

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7775

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7593

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7560

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7456

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7383

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7322

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7306

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7297

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6945

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6761

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6714

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6670

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6627

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6546

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6497

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6493

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6486

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6473

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6440

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6389

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6375

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6331

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6271

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6254

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6251

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6169

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6076

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6031

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5895

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5872

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5868

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5797

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5724

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5698

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5614

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5572

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5462

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5402

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5378

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5263

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4912

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4910

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4839

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4830

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4683

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4625

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4614

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4508

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4421

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4325

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4241

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4182

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4156

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4052

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3953

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3930

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3869

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3797

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3792

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3767

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3478

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3290

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3247

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3191

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3135

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3122

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2959

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2824

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2709

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2698

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2696

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2637

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2631

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2527

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2516

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2432

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2407

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2401

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2351

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2312

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2289

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2277

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2250

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2232

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2146

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2143

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2141

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1946

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1941

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1933

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1930

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1879

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1848

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1676

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1653

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1614

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1593

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1500

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1423

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1405

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1386

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1346

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1234

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1229

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1197

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1117

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1079

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1007

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0982

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0880

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0830

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0806

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0771

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0753

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0751

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0738

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0649

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0647

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0600

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0592

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`)