TreeWAS – [S68.1] Traumatic amputation of other single finger (complete)(partial)

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
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.939	0.061	0.000
rs1555967 lBF = `2.33405` Chr`6` : `51,159,995`	0.934	0.066	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.930	0.070	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.905	0.095	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.896	0.104	0.000
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.893	0.107	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.889	0.111	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.885	0.115	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.878	0.122	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.874	0.126	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.869	0.131	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.867	0.133	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.864	0.136	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.862	0.138	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.861	0.139	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.853	0.147	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.848	0.152	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.846	0.154	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.844	0.156	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.843	0.157	0.000
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.841	0.159	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.835	0.165	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.829	0.171	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.829	0.171	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.826	0.174	0.000
rs4733613 lBF = `0.769072` Chr`8` : `129,599,278`	0.000	0.176	0.824
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.822	0.178	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.821	0.179	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.817	0.183	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.816	0.184	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.809	0.191	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.809	0.191	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.800	0.200	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.798	0.202	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.794	0.206	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.793	0.207	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.792	0.208	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.791	0.209	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.785	0.215	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.780	0.220	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.778	0.221	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.772	0.228	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.771	0.229	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.770	0.230	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.769	0.231	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.769	0.231	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.768	0.232	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.768	0.232	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.766	0.234	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.763	0.237	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.760	0.240	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.757	0.243	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.756	0.244	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.756	0.244	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.756	0.244	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.754	0.246	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.754	0.246	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.752	0.248	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.751	0.249	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.751	0.249	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.750	0.250	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.749	0.251	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.748	0.252	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.747	0.253	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.747	0.253	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.744	0.256	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.744	0.256	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.743	0.257	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.743	0.257	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.742	0.258	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.742	0.258	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.741	0.259	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.741	0.259	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.738	0.262	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.737	0.263	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.736	0.264	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.736	0.264	0.000
rs61819425 lBF = `15.4159` Chr`1` : `114,136,618`	0.735	0.265	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.733	0.267	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.731	0.269	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.730	0.270	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.728	0.272	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.725	0.275	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.725	0.275	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.722	0.278	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.721	0.279	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.719	0.281	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.719	0.281	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.719	0.281	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.718	0.281	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.716	0.284	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.713	0.287	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.711	0.289	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.290	0.710
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.710	0.290	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.709	0.291	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.708	0.292	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.704	0.296	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.703	0.297	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.702	0.298	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.701	0.299	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.699	0.301	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.698	0.302	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.698	0.302	0.000
rs9306894 lBF = `14.9744` Chr`2` : `20,878,105`	0.696	0.304	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.694	0.306	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.693	0.306	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.692	0.308	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.691	0.309	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.691	0.309	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.689	0.311	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.689	0.311	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.688	0.312	0.000
rs1585894 lBF = `6.86343` Chr`6` : `32,875,323`	0.688	0.312	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.684	0.316	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.684	0.316	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.683	0.317	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.682	0.318	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.682	0.318	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.682	0.318	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.682	0.318	0.000
rs115464798 lBF = `21.2629` Chr`6` : `31,260,128`	0.680	0.320	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.680	0.320	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.679	0.321	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.679	0.321	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.678	0.322	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.676	0.324	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.676	0.324	0.000
rs2281388 lBF = `4.61437` Chr`6` : `33,060,118`	0.674	0.326	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.673	0.327	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.672	0.328	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.672	0.328	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.672	0.328	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.671	0.329	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.670	0.330	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.670	0.330	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.670	0.330	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.669	0.331	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.669	0.331	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.669	0.331	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.668	0.332	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.668	0.332	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.667	0.333	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.667	0.333	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.667	0.333	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.667	0.333	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.666	0.334	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.665	0.335	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.665	0.335	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.665	0.335	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.665	0.335	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.664	0.336	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.664	0.336	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.663	0.337	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.663	0.337	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.663	0.337	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.661	0.338	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.661	0.339	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.660	0.340	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.660	0.340	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.659	0.341	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.659	0.341	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.658	0.342	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.658	0.342	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.657	0.343	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.657	0.343	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.657	0.343	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.656	0.344	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.655	0.344	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.655	0.345	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.655	0.345	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.654	0.346	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.653	0.347	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.653	0.347	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.652	0.348	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.652	0.348	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.651	0.348	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.651	0.349	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.650	0.350	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.650	0.350	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.650	0.350	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.650	0.350	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.649	0.351	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.648	0.352	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.648	0.352	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.646	0.354	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.646	0.354	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.645	0.355	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.645	0.355	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.645	0.355	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.644	0.356	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.642	0.358	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.642	0.358	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.641	0.359	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.641	0.359	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.641	0.359	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.640	0.359	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.640	0.360	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.640	0.360	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.640	0.360	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.639	0.361	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.639	0.361	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.638	0.362	0.000
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rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.570	0.430	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.569	0.431	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.569	0.431	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.568	0.432	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.567	0.433	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.567	0.433	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.566	0.434	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.566	0.434	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.565	0.435	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.565	0.435	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.565	0.435	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.565	0.435	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.565	0.435	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.565	0.435	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.565	0.435	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.565	0.435	0.000
rs6436559 lBF = `0.572876` Chr`2` : `226,352,798`	0.564	0.436	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.564	0.436	0.000
rs77455275 lBF = `13.8714` Chr`1` : `24,627,899`	0.564	0.436	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.564	0.436	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.564	0.436	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.564	0.436	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.564	0.436	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.564	0.436	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.564	0.436	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.563	0.437	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.563	0.437	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.563	0.437	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.562	0.438	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.562	0.438	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.562	0.438	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.561	0.439	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.561	0.439	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.561	0.439	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.561	0.439	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.561	0.439	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.560	0.440	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.559	0.441	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.559	0.441	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.559	0.441	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.559	0.441	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.559	0.441	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.559	0.441	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.559	0.441	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.558	0.441	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.558	0.441	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.558	0.442	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.558	0.442	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.558	0.442	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.557	0.443	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.557	0.443	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.557	0.443	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.556	0.444	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.556	0.444	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.556	0.444	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.555	0.445	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.555	0.445	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.555	0.445	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.555	0.445	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.555	0.445	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.555	0.445	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.554	0.445	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.554	0.446	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.553	0.447	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.553	0.447	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.553	0.447	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.552	0.448	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.552	0.448	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.552	0.448	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.552	0.448	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.552	0.448	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.552	0.448	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.552	0.448	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.551	0.449	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.551	0.449	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.551	0.449	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.551	0.449	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.551	0.449	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.550	0.449	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.550	0.449	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.550	0.450	0.000
rs1511453 lBF = `0.95307` Chr`4` : `23,588,462`	0.550	0.450	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.550	0.450	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.550	0.450	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.549	0.451	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.549	0.451	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.549	0.451	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.549	0.451	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.549	0.451	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.549	0.451	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.549	0.451	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.548	0.452	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.548	0.452	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.547	0.453	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.547	0.453	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	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)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3780

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2527

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9843

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9791

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9686

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9541

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9523

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9411

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9378

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9180

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9064

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9042

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8869

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8609

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8370

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8353

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8331

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8210

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7976

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7964

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7633

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7599

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7458

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7390

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7336

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7171

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7023

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6986

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6916

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6803

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6711

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6658

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6596

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6581

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6252

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6226

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5950

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5822

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5616

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5502

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5487

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5336

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5320

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5154

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4921

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4835

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4817

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4736

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4659

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4599

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4470

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4448

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4309

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4305

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4304

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4249

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4189

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4155

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4154

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4118

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4089

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4072

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4027

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3972

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3789

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3697

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3657

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3636

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3629

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3596

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3527

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3472

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3329

Cluster X0183

log Bayes Factor = 32.7444

contains 2 variants

0.3325

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3295

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3269

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3246

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3150

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3144

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3091

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3035

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3017

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2979

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2901

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2824

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2819

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2810

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2799

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2665

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2627

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2609

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2609

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2553

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2421

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2401

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2385

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2311

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1998

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1960

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1930

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1929

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1919

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1868

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1811

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1797

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1774

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1710

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1706

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1652

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1613

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1510

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1504

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1499

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1470

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1457

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1445

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1374

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1364

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1320

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1312

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1294

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1292

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1290

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1237

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1233

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1138

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1068

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1030

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1019

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1016

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0975

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0839

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0833

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0810

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0797

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0792

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0791

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0789

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0760

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0699

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0655

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0643

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0631

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0623

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0596

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0592

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0552

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0516

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`)