TreeWAS – [S30.1] Contusion of abdominal wall

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
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.825	0.175	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.747	0.253	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.660	0.340	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.655	0.345	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.647	0.353	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.636	0.364	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.629	0.371	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.610	0.389	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.609	0.390	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.599	0.401	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.597	0.403	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.591	0.409	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.590	0.410	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.571	0.429	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.565	0.435	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.563	0.437	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.556	0.444	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.552	0.447	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.550	0.449	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.543	0.457	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.543	0.457	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.540	0.460	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.537	0.463	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.536	0.464	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.528	0.472	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.525	0.475	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.519	0.481	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.509	0.491	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.502	0.498	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.500	0.500	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.492	0.508	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.491	0.508	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.491	0.509	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.481	0.519	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.478	0.522	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.465	0.535	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.463	0.537	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.458	0.542	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.452	0.548	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.445	0.554	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.444	0.555	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.442	0.558	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.441	0.558	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.436	0.563	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.436	0.564	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.435	0.565	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.434	0.566	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.433	0.567	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.427	0.573	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.420	0.580	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.417	0.583	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.416	0.584	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.408	0.592	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.408	0.592	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.407	0.593	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.406	0.594	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.405	0.595	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.402	0.598	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.398	0.601	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.397	0.603	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.395	0.605	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.393	0.607	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.393	0.607	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.392	0.607	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.392	0.608	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.388	0.612	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.387	0.613	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.386	0.614	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.384	0.615	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.383	0.616	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.382	0.618	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.380	0.620	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.378	0.622	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.377	0.623	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.376	0.624	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.373	0.627	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.373	0.627	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.371	0.628	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.370	0.629	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.370	0.630	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.370	0.630	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.369	0.631	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.365	0.634	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.364	0.635	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.361	0.638	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.361	0.638	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.360	0.640	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.360	0.640	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.357	0.643	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.357	0.643	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.356	0.644	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.355	0.645	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.354	0.646	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.351	0.649	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.344	0.655	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.342	0.657	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.341	0.658	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.340	0.660	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.340	0.660	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.338	0.662	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.334	0.665	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.333	0.666	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.329	0.670	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.324	0.676	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.324	0.676	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.320	0.680	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.306	0.693	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.305	0.695	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.301	0.699	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.294	0.706	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.290	0.710	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.288	0.712	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.284	0.716	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.283	0.716	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.280	0.719	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.280	0.720	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.274	0.726	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.266	0.734	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.264	0.736	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.248	0.752	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.247	0.753	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.768	0.232
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.231	0.769	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.229	0.771	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.227	0.772	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.222	0.777	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.208	0.792	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.207	0.793	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.194	0.806	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.193	0.807	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.181	0.819	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.179	0.821	0.001
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.169	0.830	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.158	0.842	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.157	0.842	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.142	0.858	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.131	0.868	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.129	0.870	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.115	0.885	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.113	0.886	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.112	0.888	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.111	0.889	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.098	0.902	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.096	0.903	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.091	0.909	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.089	0.911	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.084	0.915	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.074	0.926	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.071	0.928	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.064	0.935	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.047	0.953	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.045	0.955	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.040	0.959	0.001
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.040	0.960	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.039	0.961	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.037	0.963	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.033	0.967	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.031	0.969	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.027	0.973	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.027	0.973	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.024	0.976	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.022	0.978	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.019	0.981	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.016	0.984	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.985	0.015
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.011	0.989	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.010	0.990	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.010	0.990	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.008	0.991	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.008	0.992	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.008	0.992	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	0.993	0.007
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.007	0.993	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.006	0.993	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.006	0.994	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.006	0.994	0.000
rs2672886 lBF = `-0.0283686` Chr`17` : `78,781,651`	0.005	0.995	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.005	0.995	0.000
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.000	0.995	0.005
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	0.995	0.005
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	0.995	0.005
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.005	0.995	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.004	0.995	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.004	0.996	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.004	0.996	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.004	0.996	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.004	0.996	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.004	0.996	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.004	0.996	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.004	0.996	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.996	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.003	0.996	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.003	0.997	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.003	0.997	0.001
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.003	0.997	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	0.997	0.003
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Affx-13851073 lBF = `12.5709` Chr`17` : `38,080,865`	0.003	0.997	0.000
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Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.002	0.998	0.000
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Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.002	0.998	0.000
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Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.002	0.998	0.000
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Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.002	0.998	0.000
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Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.002	0.998	0.000
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Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.002	0.998	0.000
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Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.001	0.998	0.000
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Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.001	0.999	0.000
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rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.001	0.999	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	0.999	0.001
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.001	0.999	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.001	0.999	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.001	0.999	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.001	0.999	0.000
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.001	0.999	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.001	0.999	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.001	0.999	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.001	0.999	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	0.999	0.001
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.001	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.001	0.999	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.001	0.999	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.001	0.999	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.999	0.001
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs4789693 lBF = `-0.0811928` Chr`17` : `80,421,870`	0.000	0.999	0.001
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.001	0.999	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.001	0.999	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.001	0.999	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.001	0.999	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.001	0.999	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.999	0.001
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.001	0.999	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.001	0.999	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	0.999	0.001
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	0.999	0.001
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.001	0.999	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.001	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.001	0.999	0.000
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.001	0.999	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	0.999	0.001
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.001	0.999	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.001	0.999	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	0.999	0.001
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.001	0.999	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	0.999	0.001
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.001	0.999	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	0.999	0.001
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	0.999	0.001
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.001	0.999	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.001	0.999	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.001	0.999	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.001	0.999	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.001	0.999	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	0.999	0.001
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	0.999	0.001
rs9896052 lBF = `0.251979` Chr`17` : `73,418,862`	0.001	0.999	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.001	0.999	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.001	0.999	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.001	0.999	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	0.999	0.001
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.001	0.999	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.001	0.999	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	0.999	0.001
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.001	0.999	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	0.999	0.001
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	0.999	0.001
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	0.999	0.001
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	0.999	0.001
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.001	0.999	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	0.999	0.001
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.001	0.999	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.001	0.999	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.001	0.999	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	0.999	0.001
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	0.999	0.001
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.001	0.999	0.000
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	0.999	0.001
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.999	0.000
rs11079764 lBF = `-0.067193` Chr`17` : `45,309,693`	0.000	0.999	0.001
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	0.999	0.001
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.000	0.999	0.001
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	0.999	0.001
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	0.999	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.000	0.999	0.001

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4580

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2961

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9954

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9953

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9905

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9903

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9893

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9801

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9758

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9755

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9752

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9706

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9665

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9663

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9650

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9637

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9632

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9545

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9505

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9505

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9498

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9470

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9395

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9352

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9349

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9349

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9325

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9316

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9271

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9269

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9210

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9208

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9187

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9168

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9140

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9127

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9101

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9085

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9057

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9033

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9030

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9019

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8939

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8819

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8816

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8799

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8795

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8714

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8705

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8696

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8657

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8651

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8599

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8495

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8460

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8406

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8405

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8373

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8331

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8320

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8262

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8241

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8219

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8167

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8164

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8130

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8126

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8124

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8105

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8101

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8069

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8063

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8035

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8003

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7992

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7982

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7978

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7954

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7902

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7899

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7887

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7873

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7861

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7850

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7847

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7830

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7818

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7805

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7746

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7742

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7644

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7527

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7514

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7499

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7491

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7473

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7470

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7446

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7406

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7312

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7290

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7197

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7139

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7135

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7037

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6949

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6900

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6900

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6890

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6839

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6813

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6809

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6789

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6770

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6763

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6720

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6646

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6632

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6596

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6561

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6551

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6506

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6488

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6464

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6462

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6418

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6411

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6360

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6304

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6229

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6142

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6057

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5870

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5859

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5854

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5839

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5828

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5808

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5790

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5786

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5758

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5751

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5712

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5671

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5668

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5573

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5532

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5516

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5496

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5381

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5312

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5270

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5204

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5169

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5165

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5031

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4901

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4874

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4627

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4441

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4376

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4324

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4267

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4182

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4165

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3917

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3885

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3848

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3756

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3652

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3649

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3505

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3263

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2981

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2913

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2909

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2893

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2785

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2784

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2657

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2473

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2446

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2323

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2323

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2282

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1947

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1864

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1830

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1823

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1815

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1790

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1743

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1687

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1670

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1450

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1342

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1297

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1290

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1086

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0957

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0599

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0577

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`)