TreeWAS – [T81] Complications of procedures, not elsewhere classified

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
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.986	0.014	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.976	0.024	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.971	0.029	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.960	0.040	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.908	0.092	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.881	0.119	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.870	0.130	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.870	0.130	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.863	0.137	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.857	0.143	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.845	0.155	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.841	0.159	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.819	0.181	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.192	0.808
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.802	0.198	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.798	0.202	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.749	0.251	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.747	0.253	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.740	0.260	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.688	0.312	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.683	0.317	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.676	0.324	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.666	0.334	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.661	0.339	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.648	0.352	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.629	0.371	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.628	0.372	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.615	0.385	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.596	0.404	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.569	0.431	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.564	0.436	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.557	0.442	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.532	0.468	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.516	0.484	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.485	0.515	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.479	0.521	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.476	0.524	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.443	0.557	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.429	0.571	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.424	0.576	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.395	0.605	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.390	0.610	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.386	0.614	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.381	0.619	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.381	0.619	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.377	0.623	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.375	0.625	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.370	0.630	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.367	0.633	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.352	0.648	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.350	0.650	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.345	0.655	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.343	0.657	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.341	0.658	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.339	0.661	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.327	0.673	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.322	0.678	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.317	0.683	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.314	0.686	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.298	0.702	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.288	0.712	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.271	0.729	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.266	0.734	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.257	0.743	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.253	0.747	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.250	0.750	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.247	0.753	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.242	0.758	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.221	0.779	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.217	0.783	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.203	0.797	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.201	0.799	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.199	0.801	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.197	0.803	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.195	0.805	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.192	0.808	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.191	0.809	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.188	0.812	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.188	0.812	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.177	0.823	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.176	0.824	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.174	0.826	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.160	0.840	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.152	0.848	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.112	0.888	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.102	0.898	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.094	0.906	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.092	0.908	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.090	0.910	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.086	0.914	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.082	0.918	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.079	0.921	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.065	0.935	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.062	0.938	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.062	0.938	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.061	0.939	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.060	0.940	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.058	0.942	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.055	0.945	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.052	0.947	0.001
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.052	0.948	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.049	0.951	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.046	0.954	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.046	0.954	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.043	0.957	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.042	0.958	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.040	0.960	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.040	0.960	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.039	0.961	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.037	0.963	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.035	0.964	0.001
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.030	0.970	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.029	0.971	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.027	0.973	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.026	0.974	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.024	0.976	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.024	0.976	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.022	0.977	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.021	0.979	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.020	0.980	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.020	0.980	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.020	0.980	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.018	0.982	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.017	0.983	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.017	0.983	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.016	0.984	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.016	0.984	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.014	0.986	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.014	0.986	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.014	0.986	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.013	0.987	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.012	0.988	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.007	0.989	0.003
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.009	0.991	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.009	0.991	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.008	0.992	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.008	0.992	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.994	0.001
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.005	0.995	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.005	0.995	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.004	0.996	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.004	0.996	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.996	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	0.996	0.004
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.004	0.996	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.003	0.997	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	0.997	0.003
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.003	0.997	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	0.997	0.003
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.003	0.997	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.003	0.997	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	0.997	0.003
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.002	0.998	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.002	0.998	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.002	0.998	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.002	0.998	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	0.998	0.002
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.998	0.002
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.002	0.998	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.002	0.998	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.998	0.002
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.001	0.999	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.001	0.999	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.001	0.999	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.001	0.999	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
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rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.000	1.000	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.000	1.000	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.000	1.000	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	1.000	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.000	1.000	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
Affx-13851073 lBF = `12.5709` Chr`17` : `38,080,865`	0.000	1.000	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	1.000	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	1.000	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

0.9808

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9533

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

1.0000

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9994

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9994

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9993

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9992

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9990

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9984

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9978

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9976

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9972

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9949

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9944

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9939

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9938

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9919

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9861

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9856

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9827

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9752

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9731

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9705

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9655

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9590

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9577

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9558

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9336

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9278

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9250

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9183

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9011

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9002

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8878

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8757

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8366

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8290

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7734

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7537

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7151

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6917

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6717

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6530

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6412

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6040

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5925

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5824

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5717

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5563

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5340

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5179

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5142

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5072

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4898

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4638

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4537

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4525

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4313

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4253

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4134

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3964

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3880

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3867

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3815

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3808

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3359

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3148

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3133

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2810

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2804

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2752

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2581

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2518

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2236

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2222

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2144

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2083

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2073

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2062

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1995

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1992

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1911

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1900

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1894

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1814

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1738

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1672

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1641

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1562

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1468

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1424

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1373

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1355

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1344

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1321

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1257

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1243

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1152

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1110

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1103

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1101

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1098

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1028

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1007

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1006

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0902

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0902

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0862

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0823

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0816

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0717

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0656

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0608

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0593

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0576

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0552

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0548

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0529

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`)