TreeWAS – [H73.8] Other specified disorders of tympanic membrane

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
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.890	0.110	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.801	0.199	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.681	0.319	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.669	0.331	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.640	0.360	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.585	0.415	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.585	0.415	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.573	0.427	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.569	0.431	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.554	0.446	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.548	0.452	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.544	0.456	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.539	0.461	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.529	0.471	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.502	0.498	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.496	0.504	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.483	0.517	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.476	0.524	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.466	0.534	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.465	0.535	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.460	0.539	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.450	0.550	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.441	0.559	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.433	0.567	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.424	0.576	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.404	0.596	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.401	0.598	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.400	0.600	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.388	0.612	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.380	0.620	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.378	0.622	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.374	0.626	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.370	0.630	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.370	0.630	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.368	0.632	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.351	0.649	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.349	0.651	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.347	0.653	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.343	0.657	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.332	0.668	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.331	0.669	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.328	0.671	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.327	0.673	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.324	0.676	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.323	0.676	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.316	0.683	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.311	0.689	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.310	0.689	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.294	0.706	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.288	0.712	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.288	0.712	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.286	0.714	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.285	0.715	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.284	0.716	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.284	0.716	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.281	0.718	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.280	0.720	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.278	0.722	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.276	0.723	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.276	0.724	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.266	0.733	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.266	0.734	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.259	0.741	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.258	0.741	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.255	0.745	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.248	0.752	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.241	0.759	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.238	0.761	0.001
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.238	0.762	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.234	0.766	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.229	0.771	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.226	0.773	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.226	0.774	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.225	0.775	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.224	0.776	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.207	0.792	0.001
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.203	0.796	0.001
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.201	0.799	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.199	0.800	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.190	0.810	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.189	0.811	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.185	0.814	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.182	0.817	0.001
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.177	0.823	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.175	0.824	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.174	0.826	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.172	0.828	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.164	0.836	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.154	0.846	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.153	0.846	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.152	0.847	0.001
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.152	0.848	0.001
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.150	0.850	0.001
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.142	0.857	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.141	0.858	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.136	0.864	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.135	0.864	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.130	0.870	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.126	0.873	0.001
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.122	0.878	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.122	0.878	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.117	0.883	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.104	0.895	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.103	0.897	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.102	0.898	0.001
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.100	0.899	0.001
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.096	0.903	0.001
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.096	0.903	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.092	0.907	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.087	0.913	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.084	0.916	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.084	0.916	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.077	0.922	0.001
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.075	0.925	0.001
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.066	0.934	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.061	0.939	0.001
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.056	0.943	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.051	0.948	0.001
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.051	0.949	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.048	0.951	0.001
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.047	0.952	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.046	0.954	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.046	0.954	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.044	0.955	0.001
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.040	0.958	0.001
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.037	0.963	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.033	0.967	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.032	0.968	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.029	0.971	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.027	0.973	0.001
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.027	0.973	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.026	0.974	0.001
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.023	0.974	0.003
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.020	0.975	0.006
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.025	0.975	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.025	0.975	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.024	0.975	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.023	0.976	0.001
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.024	0.976	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.021	0.977	0.002
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.023	0.977	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.022	0.977	0.001
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.021	0.978	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.019	0.978	0.003
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.021	0.978	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.018	0.979	0.003
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.017	0.982	0.001
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.017	0.982	0.001
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.016	0.983	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	0.985	0.015
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.014	0.986	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.000	0.987	0.013
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.012	0.987	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.011	0.988	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.011	0.989	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.009	0.990	0.002
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.010	0.990	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	0.991	0.009
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.008	0.992	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.000	0.992	0.008
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.007	0.992	0.001
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	0.992	0.008
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	0.994	0.006
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.000	0.994	0.006
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	0.994	0.006
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.006	0.994	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.005	0.994	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.006	0.994	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.005	0.994	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.995	0.005
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.004	0.996	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.996	0.004
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	0.996	0.004
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.004	0.996	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.004	0.996	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.996	0.004
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	0.997	0.003
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.003	0.997	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.002	0.997	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.003	0.997	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.003	0.997	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	0.998	0.002
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.002	0.998	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.002	0.998	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	0.998	0.002
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	0.998	0.002
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.002	0.998	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.002	0.998	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	0.998	0.002
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	0.998	0.002
rs1431318 lBF = `-0.0635643` Chr`17` : `54,192,523`	0.000	0.998	0.002
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.998	0.000
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rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.001	0.999	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.999	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.001	0.999	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	0.999	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	0.999	0.001
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.001	0.999	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	0.999	0.001
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	0.999	0.001
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.001	0.999	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	0.999	0.001
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.001	0.999	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	0.999	0.001
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.999	0.001
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	0.999	0.001
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.999	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	0.999	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	0.999	0.001
rs12601558 lBF = `0.0806125` Chr`17` : `80,179,147`	0.000	0.999	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	0.999	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	0.999	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.001	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.999	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	0.999	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	0.999	0.001
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.000	0.999	0.001
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	0.999	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.999	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	0.999	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	0.999	0.000
rs11077614 lBF = `-0.112597` Chr`17` : `70,594,629`	0.000	0.999	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.000	1.000	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs11651708 lBF = `-0.057113` Chr`17` : `64,517,313`	0.000	1.000	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.000	1.000	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	1.000	0.000
rs17779747 lBF = `-0.10726` Chr`17` : `68,494,992`	0.000	1.000	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	1.000	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	1.000	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	1.000	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	1.000	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.000	1.000	0.000
rs2291447 lBF = `-0.113286` Chr`17` : `43,212,963`	0.000	1.000	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	1.000	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	1.000	0.000
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs8066985 lBF = `-0.00771845` Chr`17` : `68,453,345`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.000	1.000	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.000	1.000	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.000	1.000	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	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 X0312

log Bayes Factor = 35.9944

contains 2 variants

0.1582

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0928

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9780

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9743

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9710

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9581

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9401

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9218

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8958

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8517

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8286

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8171

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7756

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7662

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7498

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7420

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7398

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7057

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7029

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6974

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6637

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6587

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6510

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6457

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6399

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6336

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6250

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6182

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6092

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6006

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5982

Cluster X0329

log Bayes Factor = 21.7039

contains 2 variants

0.5839

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5796

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5790

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5787

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5530

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5456

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5428

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5412

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5411

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5385

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5193

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5156

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5084

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5052

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5048

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5021

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4930

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4912

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4828

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4823

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4803

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4775

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4653

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4510

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4494

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4337

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4275

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4141

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4129

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4107

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4103

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4075

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3968

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3965

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3820

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3686

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3650

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3484

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3336

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.3179

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3097

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3070

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3033

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2975

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2654

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2652

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2620

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2581

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2558

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2519

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2498

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2494

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2485

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2479

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2475

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2455

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2440

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2284

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2258

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2236

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2207

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2161

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2027

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1981

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1949

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1905

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1872

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1840

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1836

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1834

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1754

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1700

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1609

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1539

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1474

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1472

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1471

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1448

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1434

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1389

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1361

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1349

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1307

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1270

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1267

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1254

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1144

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1080

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1072

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1064

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1064

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1040

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0987

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0953

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0952

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0944

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0923

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0895

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0876

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0845

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0833

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0790

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0784

Cluster X0251

log Bayes Factor = 16.792

contains 2 variants

0.0781

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0779

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0724

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0688

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0685

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0675

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0673

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0645

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0628

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0603

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0556

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0542

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0500

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`)