TreeWAS – [H20.8] Other iridocyclitis

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
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.702	0.298	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.669	0.331	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.615	0.385	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.580	0.420	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.571	0.429	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.562	0.438	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.552	0.448	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.549	0.451	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.546	0.454	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.535	0.465	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.508	0.492	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.505	0.494	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.471	0.528	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.466	0.534	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.460	0.540	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.449	0.551	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.449	0.551	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.448	0.552	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.430	0.570	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.429	0.571	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.427	0.573	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.426	0.574	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.424	0.575	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.423	0.577	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.421	0.579	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.420	0.580	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.414	0.586	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.406	0.594	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.399	0.601	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.391	0.609	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.387	0.612	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.383	0.616	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.377	0.622	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.368	0.632	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.368	0.632	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.366	0.634	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.365	0.634	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.363	0.636	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.362	0.638	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.361	0.639	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.355	0.645	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.354	0.646	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.352	0.648	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.350	0.650	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.349	0.651	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.348	0.652	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.348	0.652	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.346	0.654	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.345	0.654	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.340	0.659	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.337	0.663	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.335	0.664	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.332	0.668	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.327	0.673	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.326	0.674	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.322	0.678	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.314	0.686	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.313	0.686	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.307	0.693	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.304	0.696	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.303	0.697	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.301	0.698	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.298	0.702	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.297	0.703	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.296	0.704	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.295	0.704	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.295	0.705	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.295	0.705	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.294	0.706	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.293	0.707	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.292	0.708	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.290	0.710	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.284	0.716	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.280	0.720	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.279	0.721	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.277	0.723	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.276	0.723	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.272	0.727	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.270	0.730	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.256	0.744	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.255	0.745	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.254	0.746	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.247	0.752	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.244	0.756	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.235	0.764	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.235	0.764	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.233	0.766	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.232	0.768	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.227	0.773	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.224	0.776	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.206	0.793	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.205	0.795	0.001
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.199	0.801	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.192	0.807	0.000
rs4795406 lBF = `6.87863` Chr`17` : `38,100,134`	0.187	0.813	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.178	0.821	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.162	0.838	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.160	0.840	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.154	0.846	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.148	0.852	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.147	0.853	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.144	0.855	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.144	0.856	0.000
rs6503525 lBF = `6.47206` Chr`17` : `38,095,174`	0.143	0.857	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.142	0.858	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.141	0.859	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.138	0.861	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.132	0.868	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.128	0.872	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.126	0.874	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.125	0.874	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.118	0.882	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.117	0.883	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.117	0.883	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.111	0.889	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.111	0.889	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.110	0.890	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.106	0.894	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.101	0.898	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.095	0.905	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.094	0.906	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.091	0.909	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.085	0.915	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.077	0.923	0.001
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.075	0.925	0.000
rs3894194 lBF = `6.96611` Chr`17` : `38,121,993`	0.071	0.929	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.059	0.941	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.054	0.946	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.052	0.948	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.048	0.952	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.047	0.953	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.046	0.954	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.043	0.957	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.042	0.958	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.040	0.960	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.039	0.960	0.001
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.039	0.960	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.039	0.960	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.039	0.961	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.035	0.965	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.034	0.966	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.029	0.970	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.030	0.970	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.029	0.971	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.029	0.971	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.028	0.972	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.028	0.972	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.027	0.973	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.026	0.974	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.025	0.975	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.025	0.975	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.024	0.976	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.023	0.977	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.023	0.977	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.023	0.977	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.023	0.977	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.022	0.978	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.021	0.979	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.021	0.979	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.017	0.983	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.017	0.983	0.000
rs7212938 lBF = `5.09178` Chr`17` : `38,122,680`	0.013	0.987	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.013	0.987	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.013	0.987	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.012	0.987	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	0.988	0.011
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.010	0.990	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.010	0.990	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.008	0.992	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	0.992	0.008
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.008	0.992	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.007	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.007	0.993	0.000
rs4796604 lBF = `-0.0670436` Chr`17` : `39,890,876`	0.000	0.993	0.007
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.006	0.994	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.006	0.994	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.006	0.994	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.006	0.994	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.006	0.994	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.006	0.994	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.005	0.995	0.001
rs17736589 lBF = `-0.0669878` Chr`17` : `76,737,118`	0.005	0.995	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.005	0.995	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.005	0.995	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.000	0.995	0.005
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	0.995	0.005
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.005	0.995	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.004	0.995	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.004	0.995	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.004	0.996	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	0.996	0.004
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.004	0.996	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.004	0.996	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	0.996	0.004
rs712039 lBF = `-0.0304748` Chr`17` : `35,850,553`	0.000	0.996	0.004
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.004	0.996	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	0.996	0.004
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.004	0.996	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.003	0.997	0.000
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rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.001	0.999	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.001	0.999	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.001	0.999	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	0.999	0.001
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	0.999	0.001
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.001	0.999	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.001	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.001	0.999	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	0.999	0.001
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.001	0.999	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	0.999	0.001
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.001	0.999	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	0.999	0.001
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	0.999	0.001
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.001	0.999	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.001	0.999	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	0.999	0.001
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.999	0.001
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	0.999	0.001
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.001	0.999	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.999	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	0.999	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.001	0.999	0.000
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	0.001	0.999	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.001	0.999	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	0.999	0.001
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.001	0.999	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.001	0.999	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.001	0.999	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	0.999	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.001	0.999	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.001	0.999	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	0.999	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	0.999	0.001
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.001	0.999	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.001	0.999	0.000
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.000	0.999	0.001
rs870829 lBF = `5.15067` Chr`17` : `38,068,382`	0.000	0.999	0.001
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	0.999	0.001
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	0.999	0.001
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.001	0.999	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.999	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	0.999	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.001	0.999	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.001	0.999	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.001	0.999	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	0.999	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.001	0.999	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.001	0.999	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	0.999	0.001
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.001	0.999	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	0.999	0.001
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.001	0.999	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.001	0.999	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.001	0.999	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.001	0.999	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.001	0.999	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	0.999	0.001
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	0.999	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.001	0.999	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	0.999	0.001
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.999	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.001	0.999	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.001	0.999	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	0.999	0.001
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.001	0.999	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.001	0.999	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.001	0.999	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.001	0.999	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	0.999	0.001
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	0.999	0.001
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.001	0.999	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	0.999	0.001
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	0.999	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.001	0.999	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	0.999	0.001
rs4789693 lBF = `-0.0811928` Chr`17` : `80,421,870`	0.001	0.999	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.001	0.999	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.001	0.999	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.001	0.999	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	0.999	0.000
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.000	0.999	0.001
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.000	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	0.999	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.001	0.999	0.000
rs2360111 lBF = `-0.113472` Chr`17` : `831,667`	0.000	0.999	0.001
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	0.999	0.001
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	0.999	0.001
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.999	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	0.999	0.001
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.000	0.999	0.001
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.999	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.001	0.999	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.001	0.999	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9674

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9599

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9573

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9568

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9551

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9457

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9294

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9210

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9179

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9100

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9096

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9075

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9008

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8961

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8940

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8904

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8883

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8758

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8744

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8740

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8740

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8673

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8662

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8542

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8392

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8391

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8375

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8322

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8260

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8220

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8199

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8144

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8124

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8122

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8106

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8066

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8052

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7983

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7930

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7866

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7825

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7822

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7812

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7690

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7684

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7662

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7595

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7498

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7496

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7469

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7439

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7430

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7416

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7404

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.7384

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7344

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7342

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7332

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7325

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7310

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7204

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7188

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7159

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7157

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7119

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7112

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7071

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7040

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7039

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7017

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7004

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6990

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6985

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6970

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6957

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6943

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6943

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6914

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6912

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6910

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6909

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6838

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6816

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6735

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6732

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6715

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6713

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6705

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6682

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6632

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6624

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6614

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6609

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6582

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6568

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6501

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6495

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6439

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6416

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6414

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6413

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6400

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6383

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6378

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6365

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6337

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6334

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6269

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6255

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6253

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6241

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6166

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6152

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6136

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6110

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6090

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6060

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6055

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6017

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6011

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5950

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5943

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5936

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5924

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5917

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5898

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5889

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5881

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5806

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5780

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5746

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5721

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5711

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5701

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5694

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5681

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5669

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5662

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5660

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5642

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5601

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5595

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5578

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5536

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5482

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5363

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5357

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5244

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5180

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5154

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5142

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5133

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5083

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5060

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5057

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5038

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4967

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4964

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4960

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4923

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4833

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4826

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4822

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4786

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4752

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4726

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4715

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4482

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4476

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4463

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4412

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4309

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4266

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4216

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4192

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4175

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4168

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4117

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4115

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4090

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4059

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4035

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4010

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3866

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3855

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3749

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3438

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3309

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3109

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2967

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2915

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2659

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2540

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2408

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2115

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2085

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2080

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1991

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1312

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1309

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1256

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1057

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1053

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0830

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0635

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0614

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`)