TreeWAS – [M79.89] Other specified soft tissue disorders (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
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.930	0.070	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.925	0.075	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.911	0.089	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.902	0.098	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.892	0.108	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.887	0.113	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.884	0.116	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.883	0.117	0.000
rs6427196 lBF = `150.089` Chr`1` : `169,481,223`	0.000	0.120	0.880
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.880	0.120	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.879	0.121	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.873	0.127	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.872	0.128	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.868	0.132	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.866	0.134	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.861	0.139	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.861	0.139	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.861	0.139	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.858	0.142	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.852	0.148	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.851	0.149	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.841	0.159	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.837	0.163	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.835	0.165	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.834	0.166	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.833	0.167	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.832	0.168	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.831	0.169	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.829	0.171	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.828	0.172	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.825	0.175	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.822	0.178	0.000
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.820	0.180	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.820	0.180	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.819	0.181	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.815	0.185	0.000
rs114109373 lBF = `78.3793` Chr`6` : `31,381,205`	0.812	0.188	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.812	0.188	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.811	0.189	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.811	0.189	0.000
rs114215172 lBF = `73.1539` Chr`6` : `31,381,062`	0.810	0.190	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.799	0.201	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.798	0.202	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.798	0.202	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.793	0.207	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.793	0.207	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.791	0.209	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.788	0.212	0.000
rs17130931 lBF = `5.74152` Chr`1` : `90,387,054`	0.787	0.213	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.786	0.214	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.784	0.216	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.783	0.217	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.783	0.217	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.782	0.218	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.780	0.220	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.778	0.222	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.775	0.224	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.774	0.226	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.770	0.230	0.000
rs581107 lBF = `48.1134` Chr`9` : `136,147,702`	0.000	0.231	0.769
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.768	0.232	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.766	0.234	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.765	0.235	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.765	0.235	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.764	0.236	0.000
rs115326349 lBF = `79.973` Chr`6` : `31,386,518`	0.762	0.238	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.761	0.239	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.761	0.239	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.760	0.240	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.759	0.240	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.758	0.241	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.755	0.245	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.754	0.246	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.753	0.247	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.752	0.248	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.752	0.248	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.751	0.249	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.751	0.249	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.748	0.252	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.747	0.253	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.747	0.253	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.746	0.254	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.746	0.254	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.745	0.255	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.744	0.256	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.742	0.258	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.739	0.261	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.737	0.263	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.737	0.263	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.735	0.265	0.000
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.733	0.267	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.731	0.269	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.731	0.269	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.729	0.271	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.728	0.272	0.000
rs4349859 lBF = `84.4382` Chr`6` : `31,365,787`	0.726	0.274	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.726	0.274	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.724	0.276	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.724	0.276	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.723	0.277	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.722	0.278	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.722	0.278	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.721	0.279	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.721	0.279	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.721	0.279	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.720	0.280	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.719	0.281	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.719	0.281	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.719	0.281	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.718	0.282	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.718	0.282	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.717	0.283	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.715	0.284	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.715	0.285	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.715	0.285	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.715	0.285	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.714	0.286	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.714	0.286	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.712	0.288	0.000
rs633862 lBF = `50.6568` Chr`9` : `136,155,444`	0.712	0.288	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.708	0.291	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.708	0.292	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.708	0.292	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.705	0.294	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.705	0.295	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.703	0.297	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.703	0.297	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.702	0.298	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.701	0.299	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.701	0.299	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.699	0.301	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.698	0.302	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.698	0.302	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.697	0.303	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.696	0.304	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.695	0.305	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.694	0.305	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.694	0.306	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.693	0.306	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.693	0.307	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.692	0.307	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.692	0.308	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.692	0.308	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.691	0.309	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.691	0.309	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.690	0.310	0.000
rs147686985 lBF = `6.61696` Chr`3` : `166,728,917`	0.689	0.310	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.689	0.311	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.688	0.312	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.688	0.312	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.687	0.313	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.687	0.313	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.687	0.313	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.687	0.313	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.686	0.314	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.683	0.316	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.683	0.317	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.682	0.318	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.681	0.319	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.680	0.320	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.680	0.320	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.679	0.321	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.679	0.321	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.678	0.322	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.677	0.322	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.677	0.322	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.677	0.323	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.676	0.324	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.676	0.324	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.676	0.324	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.676	0.324	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.675	0.325	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.675	0.325	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.675	0.325	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.673	0.327	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.673	0.327	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.673	0.327	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.672	0.328	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.672	0.328	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.672	0.328	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.671	0.329	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.671	0.329	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.670	0.330	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.670	0.330	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.669	0.330	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.669	0.331	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.669	0.331	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.668	0.331	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.668	0.332	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.668	0.332	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.667	0.333	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.667	0.333	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.666	0.334	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.666	0.334	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.665	0.335	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.665	0.335	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.665	0.335	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.665	0.335	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.664	0.336	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.664	0.336	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.664	0.336	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.664	0.336	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.662	0.337	0.000
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rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.589	0.411	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.588	0.412	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.587	0.413	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.587	0.413	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.587	0.413	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.587	0.413	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.586	0.414	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.586	0.414	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.584	0.416	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.583	0.416	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.583	0.417	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.583	0.417	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.583	0.417	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.583	0.417	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.583	0.417	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.582	0.417	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.583	0.417	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.582	0.418	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.582	0.418	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.582	0.418	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.581	0.419	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.581	0.419	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.581	0.419	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.581	0.419	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.581	0.419	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.580	0.420	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.580	0.420	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.579	0.421	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.579	0.421	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.579	0.421	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.579	0.421	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.579	0.421	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.578	0.422	0.000
rs1679153 lBF = `6.7364` Chr`3` : `138,151,971`	0.578	0.422	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.578	0.422	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.578	0.422	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.577	0.423	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.577	0.423	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.576	0.423	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.576	0.424	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.576	0.424	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.575	0.425	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.575	0.425	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.575	0.425	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.575	0.425	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.574	0.426	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.574	0.426	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.574	0.426	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.574	0.426	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.573	0.427	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.573	0.427	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.573	0.427	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.571	0.428	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.571	0.429	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.571	0.429	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.570	0.429	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.570	0.429	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.569	0.431	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.569	0.431	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.568	0.431	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.568	0.432	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.568	0.432	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.568	0.432	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.567	0.433	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.567	0.433	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.566	0.433	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.566	0.434	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.565	0.434	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.565	0.435	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.565	0.435	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.564	0.436	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.564	0.436	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.564	0.436	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.564	0.436	0.000
rs114786810 lBF = `15.296` Chr`1` : `163,312,552`	0.563	0.436	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.563	0.437	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.563	0.437	0.000
rs715299 lBF = `48.7211` Chr`6` : `32,189,841`	0.563	0.437	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.563	0.437	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.562	0.438	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.562	0.438	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.562	0.438	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.561	0.438	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.561	0.439	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.561	0.439	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.561	0.439	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.560	0.440	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.560	0.440	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.560	0.440	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.559	0.441	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.559	0.441	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.559	0.441	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.559	0.441	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.558	0.442	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.558	0.442	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 X0150

log Bayes Factor = 861.091

contains 26 variants

0.9929

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9908

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9883

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9795

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9782

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9729

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9697

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9696

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9672

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9660

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9607

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9592

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9558

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9556

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9488

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9470

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9416

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9402

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9368

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9317

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9292

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9285

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9280

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9166

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9150

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9126

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9114

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9071

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9035

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9031

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8994

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8969

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8942

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8908

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8900

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8898

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8890

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8836

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8836

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8825

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8749

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8747

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8746

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8643

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8595

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8584

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8524

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8489

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8477

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8475

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8467

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8413

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8278

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8270

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8247

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8245

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8234

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8224

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8214

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8181

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8147

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8147

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8146

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8057

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8052

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8016

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7965

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7964

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7962

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7936

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7853

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7792

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7786

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7746

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7741

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7682

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7591

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7561

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7521

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7472

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7430

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7399

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7390

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7380

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7113

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7106

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7101

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7062

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7030

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7026

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7002

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6983

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6921

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6800

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.6773

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6559

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6448

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6313

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6101

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6065

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5916

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5870

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5845

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5811

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5680

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5653

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5614

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5523

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5498

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5451

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5364

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5341

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5320

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5312

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5312

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5163

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5157

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5141

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5094

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5048

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5047

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4958

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4788

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4737

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4642

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4504

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4500

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4449

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4372

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4275

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4126

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4052

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3878

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3727

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3714

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3667

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3584

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3451

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3447

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3350

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3287

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3150

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3106

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2827

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2702

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2614

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2595

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2463

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2387

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2379

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2285

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2267

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2263

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2251

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2227

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2149

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1993

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1951

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1948

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1941

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1863

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1727

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1644

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1606

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1470

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1414

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1317

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1255

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1248

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1244

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1195

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1088

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1073

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1047

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0946

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0880

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0666

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0595

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0572

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0506

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`)