TreeWAS – [M23.89] Other internal derangements of knee (Unspecified ligament or Unspecified meniscus)

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
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.764	0.236	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.737	0.263	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.720	0.280	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.700	0.300	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.631	0.369	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.569	0.431	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.556	0.444	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.551	0.449	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.526	0.473	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.520	0.480	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	0.484	0.516
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.510	0.490	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.498	0.502	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.487	0.513	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.477	0.523	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.458	0.542	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.448	0.552	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.426	0.574	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.425	0.575	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.417	0.583	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.401	0.599	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.377	0.623	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.376	0.624	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.361	0.639	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.342	0.658	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.340	0.659	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.339	0.661	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.301	0.699	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.296	0.704	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.294	0.706	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.283	0.717	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.276	0.724	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.266	0.734	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.264	0.736	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.262	0.738	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.260	0.740	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.252	0.748	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.249	0.751	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.245	0.754	0.001
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.246	0.754	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.242	0.758	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.232	0.767	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.230	0.769	0.001
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.209	0.791	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.206	0.794	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.206	0.794	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.206	0.794	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	0.796	0.204
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.203	0.797	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.202	0.797	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.196	0.803	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.196	0.803	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.193	0.807	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.192	0.808	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.185	0.815	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.182	0.818	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.180	0.820	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.180	0.820	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.180	0.820	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.176	0.824	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.171	0.829	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.165	0.835	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.161	0.839	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.160	0.840	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.160	0.840	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.158	0.841	0.001
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.152	0.848	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.144	0.856	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.139	0.861	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.134	0.866	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.134	0.866	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.128	0.872	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.127	0.873	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.126	0.873	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.123	0.876	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.122	0.877	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.121	0.879	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.120	0.880	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.117	0.882	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.113	0.886	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.112	0.887	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.112	0.887	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.110	0.890	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.104	0.896	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.100	0.900	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.098	0.901	0.001
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.097	0.903	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.088	0.912	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.088	0.912	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.088	0.912	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.087	0.913	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.085	0.914	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.084	0.916	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.082	0.918	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.073	0.926	0.001
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.072	0.928	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.067	0.933	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.064	0.935	0.001
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.062	0.937	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.061	0.939	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.060	0.940	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.053	0.947	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.052	0.948	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.052	0.948	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.047	0.952	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.046	0.953	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.045	0.954	0.001
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.044	0.955	0.001
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.041	0.959	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.041	0.959	0.001
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.039	0.961	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.038	0.962	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.037	0.962	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.037	0.963	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.036	0.964	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.034	0.966	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.033	0.966	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.033	0.967	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.032	0.967	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.031	0.968	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.031	0.969	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.030	0.970	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.028	0.972	0.000
rs227584 lBF = `0.397184` Chr`17` : `42,225,547`	0.028	0.972	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.014	0.972	0.014
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.028	0.972	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.026	0.973	0.001
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.025	0.974	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.021	0.979	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.018	0.981	0.001
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.017	0.983	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.017	0.983	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.016	0.984	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.016	0.984	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.015	0.984	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.015	0.985	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.014	0.986	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.014	0.986	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.014	0.986	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.013	0.986	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.013	0.987	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.013	0.987	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.011	0.988	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.011	0.988	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.011	0.989	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.011	0.989	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.011	0.989	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.005	0.989	0.006
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.011	0.989	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.010	0.990	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.010	0.990	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.010	0.990	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.010	0.990	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.009	0.990	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.010	0.990	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.009	0.991	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.009	0.991	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.009	0.991	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.009	0.991	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.008	0.992	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.008	0.992	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.008	0.992	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.008	0.992	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.008	0.992	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.000	0.992	0.008
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.008	0.992	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.008	0.992	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.008	0.992	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.008	0.992	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	0.992	0.008
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.008	0.992	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.008	0.992	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.008	0.992	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.008	0.992	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.008	0.992	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.008	0.992	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.007	0.993	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.007	0.993	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.007	0.993	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.007	0.993	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.007	0.993	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.007	0.993	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.007	0.993	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.007	0.993	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.007	0.993	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.007	0.993	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.007	0.993	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.007	0.993	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.007	0.993	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.007	0.993	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.007	0.993	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.007	0.993	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.007	0.993	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	0.993	0.007
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.007	0.993	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.007	0.993	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.007	0.993	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.007	0.993	0.000
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rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.001	0.999	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	0.999	0.001
rs12453914 lBF = `0.0421126` Chr`17` : `67,138,878`	0.000	0.999	0.001
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	0.999	0.001
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.001	0.999	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	0.999	0.001
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.000	0.999	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.001	0.999	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.001	0.999	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	0.999	0.001
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	0.999	0.001
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	0.999	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.001	0.999	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.001	0.999	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.001	0.999	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.001	0.999	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.000	0.999	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	0.999	0.001
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.001	0.999	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	0.999	0.001
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.001	0.999	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.999	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	0.999	0.001
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.999	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	0.999	0.000
rs11651708 lBF = `-0.057113` Chr`17` : `64,517,313`	0.001	0.999	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.001	0.999	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.001	0.999	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	0.999	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.999	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.001	0.999	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	0.999	0.001
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	0.999	0.001
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.999	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	0.999	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	0.999	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.001	0.999	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.000	0.999	0.001
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	0.999	0.000
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.000	0.999	0.001
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	0.999	0.001
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	0.999	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.001	0.999	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	0.999	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.000	0.999	0.001
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	0.999	0.001
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.001	0.999	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	0.999	0.001
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	0.999	0.001
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.001	0.999	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.000	0.999	0.001
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	0.999	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.001	0.999	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	0.999	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.001	0.999	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	0.999	0.001
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	0.999	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	0.999	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	0.999	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.001	0.999	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.001	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	0.999	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	0.999	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	0.999	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.999	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.001	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.999	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	0.999	0.001
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	0.999	0.001
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	0.999	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	0.999	0.001
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.000
rs1019238 lBF = `-0.0923717` Chr`17` : `54,278,715`	0.000	0.999	0.001
rs11077614 lBF = `-0.112597` Chr`17` : `70,594,629`	0.000	0.999	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs8079702 lBF = `-0.0689908` Chr`17` : `68,190,826`	0.000	1.000	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	1.000	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs1401796 lBF = `-0.0840115` Chr`17` : `54,839,759`	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.5271

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9979

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9860

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9578

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8701

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8614

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8537

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8445

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8432

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8316

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8309

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8257

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8192

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8003

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7857

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7765

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7758

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7744

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7688

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7630

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7489

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7420

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7393

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7383

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7328

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7242

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6800

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6749

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6611

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6560

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6525

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6452

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6248

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6179

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6037

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5898

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5876

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5823

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5767

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5696

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5653

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5557

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5506

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5363

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5097

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4992

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4985

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4938

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4872

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4800

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4745

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4692

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4634

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4522

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4499

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4426

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4410

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4339

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4231

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4202

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4074

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3952

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3952

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3927

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3836

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3728

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3579

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3502

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3386

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3365

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3280

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3274

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3265

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3219

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2791

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2760

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2660

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2575

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2528

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2513

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2489

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2266

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2107

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1943

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1872

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1839

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1803

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1803

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1760

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1742

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1689

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1630

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1618

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1586

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1580

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1561

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1539

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1509

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1468

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1409

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1383

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1376

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1267

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1228

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1207

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1176

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1133

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1118

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1094

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1058

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1006

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0991

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0984

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0929

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0912

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0828

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0821

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0818

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0807

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0806

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0788

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0786

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0755

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0721

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0705

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0683

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0671

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0670

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0620

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.0617

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0609

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0594

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0582

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0559

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0559

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0558

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0524

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0504

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`)