TreeWAS – [T50] Poisoning by diuretics and other and unspecified drugs, medicaments and biological substances

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
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.937	0.063	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.892	0.108	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.892	0.108	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.887	0.113	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.871	0.129	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.871	0.129	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.863	0.137	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.860	0.140	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.845	0.155	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.838	0.162	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.835	0.165	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.818	0.182	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.793	0.207	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.792	0.208	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.792	0.208	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.790	0.210	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.770	0.229	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.768	0.232	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.767	0.233	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.767	0.233	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.766	0.234	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.761	0.239	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.760	0.240	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.755	0.245	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.750	0.250	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.744	0.256	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.744	0.256	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.743	0.257	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.740	0.260	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.738	0.262	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.738	0.262	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.733	0.267	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.730	0.269	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.729	0.271	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.726	0.274	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.716	0.283	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.714	0.286	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.707	0.293	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.700	0.300	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.695	0.305	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.694	0.306	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.684	0.316	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.684	0.316	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.683	0.317	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.681	0.319	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.678	0.322	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.665	0.335	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.664	0.336	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.663	0.337	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.658	0.341	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.647	0.353	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.644	0.356	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.640	0.360	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.638	0.362	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.635	0.365	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.633	0.367	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.632	0.368	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.631	0.368	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.631	0.369	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.630	0.370	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.629	0.371	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.628	0.372	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.622	0.378	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.616	0.383	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.616	0.384	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.613	0.387	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.613	0.387	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.607	0.393	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.603	0.397	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.599	0.401	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.598	0.402	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.598	0.402	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.584	0.416	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.583	0.417	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.572	0.428	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.571	0.429	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.571	0.429	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.564	0.436	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.563	0.437	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.545	0.455	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.537	0.463	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.536	0.463	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.533	0.467	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.530	0.470	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.527	0.473	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.506	0.494	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.502	0.498	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.498	0.501	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.497	0.503	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.483	0.517	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.473	0.527	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.461	0.539	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.455	0.545	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.453	0.547	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.452	0.548	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.447	0.553	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.436	0.564	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.436	0.564	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.432	0.568	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.432	0.568	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.424	0.576	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.413	0.587	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.410	0.590	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.406	0.594	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.396	0.604	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.391	0.609	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.363	0.636	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.350	0.649	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.345	0.655	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.336	0.664	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	0.679	0.321
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.315	0.685	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.284	0.716	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.282	0.718	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.279	0.721	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.278	0.722	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.278	0.722	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.276	0.724	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.273	0.727	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.270	0.730	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.269	0.730	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.261	0.738	0.001
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	0.740	0.260
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.251	0.749	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.250	0.749	0.001
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.247	0.753	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.241	0.758	0.001
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.235	0.764	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.232	0.768	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.225	0.774	0.001
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.212	0.787	0.001
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.204	0.796	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.199	0.800	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.198	0.801	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.196	0.803	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.196	0.804	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.193	0.806	0.001
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.192	0.808	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.173	0.827	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.172	0.828	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.160	0.840	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.000	0.841	0.159
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.153	0.847	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.138	0.861	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.130	0.870	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.126	0.874	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.124	0.876	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.117	0.883	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.112	0.888	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.111	0.888	0.001
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.106	0.893	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.102	0.898	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.100	0.900	0.001
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.092	0.908	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.092	0.908	0.000
rs8065311 lBF = `-0.0275393` Chr`17` : `54,203,360`	0.000	0.915	0.085
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.081	0.919	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.075	0.923	0.002
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.076	0.924	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.073	0.927	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.927	0.073
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.070	0.929	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	0.935	0.065
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.064	0.936	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.064	0.936	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.936	0.064
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.063	0.937	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.060	0.940	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.053	0.947	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.048	0.950	0.002
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	0.000	0.952	0.048
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.044	0.952	0.004
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.044	0.956	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.043	0.957	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.036	0.964	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	0.967	0.032
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.030	0.969	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.025	0.975	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.024	0.976	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.023	0.977	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	0.979	0.021
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.020	0.980	0.000
rs3096644 lBF = `0.151127` Chr`17` : `46,757,575`	0.019	0.981	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.018	0.982	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.018	0.982	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.018	0.982	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	0.984	0.016
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.016	0.984	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.014	0.986	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.014	0.986	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.014	0.986	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.014	0.986	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.987	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.011	0.989	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.010	0.990	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	0.990	0.010
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.010	0.990	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.009	0.991	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.008	0.992	0.000
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rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.001	0.999	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	0.999	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	0.999	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.000	0.999	0.000
rs2854207 lBF = `0.121574` Chr`17` : `61,947,107`	0.000	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	0.999	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	0.999	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	0.999	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	0.999	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.999	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	0.999	0.000
rs944722 lBF = `-0.0285062` Chr`17` : `26,092,037`	0.000	0.999	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	1.000	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs4794202 lBF = `-0.0447461` Chr`17` : `45,930,539`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	1.000	0.000
rs906175 lBF = `0.0194719` Chr`17` : `79,173,462`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.000	1.000	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	1.000	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs3764400 lBF = `-0.0214903` Chr`17` : `46,123,932`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	1.000	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	1.000	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.000	1.000	0.000
rs17808461 lBF = `-0.0751725` Chr`17` : `31,393,702`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs17779747 lBF = `-0.10726` Chr`17` : `68,494,992`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	1.000	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	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 X0286

log Bayes Factor = 30.6663

contains 3 variants

0.9987

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9446

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5383

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3360

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9995

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9984

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9967

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9960

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9945

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9903

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9903

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9899

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9893

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9865

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9863

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9860

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9828

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9801

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.9763

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9762

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9761

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9754

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9751

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9743

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9728

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9708

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9698

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9688

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9658

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9657

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9656

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9593

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9589

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9579

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9480

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9439

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9367

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9321

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9228

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9166

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9145

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9089

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9056

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9039

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9008

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8979

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8972

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8957

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8941

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8904

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8855

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8803

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8779

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8749

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8728

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8715

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8701

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8687

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8643

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8634

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8620

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8611

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8608

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8595

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8558

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8516

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8483

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8433

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8431

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8407

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8400

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8390

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8374

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8339

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8261

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8256

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8178

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8126

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8116

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8052

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7935

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7933

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.7837

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7813

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7797

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7764

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7762

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7752

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7738

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7733

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7631

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.7618

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7617

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7604

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7558

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7537

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7515

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7486

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7457

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7455

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7383

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7362

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7294

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7250

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7230

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7215

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7203

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7179

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7134

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7092

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6997

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6984

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6923

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6904

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6866

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6786

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6759

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6728

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6641

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6591

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6582

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6558

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6543

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6506

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6488

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6434

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6292

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6291

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6285

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6250

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6247

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6153

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6152

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6134

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6108

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6052

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5915

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5843

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5836

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5802

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5781

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5747

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5747

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5721

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5683

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5677

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5661

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5651

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5650

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5647

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5637

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5621

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5613

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5549

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5495

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5457

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5386

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5348

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5321

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5307

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5195

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5008

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4959

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4949

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4744

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4665

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4661

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4646

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4645

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4635

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4587

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4530

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4529

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4510

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4464

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4424

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4355

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4325

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4291

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4221

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4203

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4199

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4183

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4122

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4074

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4036

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3944

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3782

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3531

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3417

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3400

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3257

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3188

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.3179

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3119

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2981

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2918

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2868

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2661

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2658

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2448

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2267

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2174

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1575

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1379

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.1369

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1248

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1217

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1203

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1098

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1077

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0963

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0951

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0590

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`)