TreeWAS – [E11.2] With renal complications

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
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.975	0.025	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.928	0.072	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.881	0.119	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.877	0.123	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.866	0.134	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.857	0.143	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.850	0.150	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.841	0.159	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.836	0.164	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.833	0.167	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.815	0.185	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.813	0.187	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.798	0.202	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.792	0.208	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.788	0.212	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.721	0.279	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.693	0.307	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.683	0.317	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.677	0.323	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.670	0.330	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.669	0.331	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.660	0.340	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.655	0.345	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.620	0.380	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.614	0.386	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.605	0.394	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.602	0.398	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.594	0.405	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.545	0.455	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.537	0.463	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.527	0.473	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.515	0.485	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.514	0.486	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.510	0.490	0.000
rs9906944 lBF = `0.452828` Chr`17` : `47,091,420`	0.000	0.497	0.503
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.498	0.502	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.480	0.520	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.470	0.530	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.468	0.532	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.456	0.544	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.446	0.554	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.444	0.556	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.432	0.567	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.424	0.576	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.419	0.581	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.400	0.599	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.395	0.605	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.365	0.635	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.364	0.636	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.362	0.638	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.360	0.640	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.348	0.652	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.333	0.667	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.321	0.679	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.318	0.682	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.296	0.704	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.290	0.710	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.273	0.727	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.269	0.731	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.263	0.737	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.262	0.738	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.001	0.748	0.252
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.252	0.748	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.249	0.751	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.001	0.752	0.247
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.246	0.754	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.001	0.754	0.245
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.001	0.767	0.232
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.230	0.770	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.211	0.789	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.201	0.799	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.194	0.806	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.194	0.806	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.192	0.808	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.185	0.815	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.160	0.840	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.160	0.840	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.148	0.852	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.144	0.856	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	0.859	0.141
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.140	0.860	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.138	0.861	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.135	0.865	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.132	0.868	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.131	0.869	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.000	0.870	0.129
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.128	0.872	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.127	0.873	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.126	0.873	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.118	0.882	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.115	0.885	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.112	0.888	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.111	0.889	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	0.893	0.107
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.106	0.894	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.104	0.896	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.095	0.905	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.095	0.905	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.093	0.906	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.093	0.907	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.084	0.916	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.079	0.921	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.074	0.926	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.071	0.929	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.070	0.930	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.068	0.932	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	0.932	0.068
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	0.935	0.065
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.064	0.936	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.060	0.940	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.059	0.940	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.059	0.940	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.059	0.941	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.057	0.943	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.056	0.944	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.050	0.950	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.050	0.950	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.049	0.950	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.049	0.951	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	0.951	0.049
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	0.952	0.048
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.045	0.955	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.045	0.955	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.043	0.957	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.042	0.958	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.042	0.958	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.041	0.959	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.039	0.961	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.038	0.962	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.036	0.963	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.034	0.965	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.034	0.966	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.034	0.966	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.034	0.966	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	0.966	0.034
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.032	0.967	0.001
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.032	0.968	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.031	0.969	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.031	0.969	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.029	0.970	0.001
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.030	0.970	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.029	0.971	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.028	0.971	0.001
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.028	0.972	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.028	0.972	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.027	0.973	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.027	0.973	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.025	0.975	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.023	0.977	0.000
rs8081264 lBF = `7.94459` Chr`17` : `7,235,316`	0.021	0.979	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.021	0.979	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.020	0.980	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.019	0.981	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.018	0.981	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.018	0.982	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.018	0.982	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.017	0.983	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.016	0.983	0.001
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.000	0.983	0.017
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.017	0.983	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.017	0.983	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.017	0.983	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.017	0.983	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.017	0.983	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.016	0.983	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.016	0.984	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.016	0.984	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.016	0.984	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.016	0.984	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.016	0.984	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.015	0.985	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.015	0.985	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.014	0.986	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.014	0.986	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.014	0.986	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.014	0.986	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.014	0.986	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.014	0.986	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.012	0.986	0.002
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.013	0.987	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.013	0.987	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.013	0.987	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.013	0.987	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.013	0.987	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.013	0.987	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.013	0.987	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.013	0.987	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.013	0.987	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.012	0.987	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.012	0.987	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.012	0.988	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.012	0.988	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.012	0.988	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.012	0.988	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.012	0.988	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.012	0.988	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.012	0.988	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.012	0.988	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.011	0.988	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.011	0.989	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.011	0.989	0.000
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rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	0.999	0.001
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	0.999	0.001
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.001	0.999	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	0.999	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	0.999	0.001
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.001	0.999	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.001	0.999	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	0.999	0.001
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.001	0.999	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.000
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.001	0.999	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	0.999	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	0.999	0.001
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	0.999	0.001
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.999	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.001	0.999	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	0.999	0.001
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	0.999	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	0.999	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	0.999	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	0.999	0.000
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.000	0.999	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	0.999	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	0.999	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	0.999	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	0.999	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	0.999	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	0.999	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	0.999	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.000	1.000	0.000
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.000	1.000	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	1.000	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.000	1.000	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	1.000	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.000	1.000	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	1.000	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	1.000	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	1.000	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	1.000	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	1.000	0.000
rs11868035 lBF = `-0.0214466` Chr`17` : `17,715,101`	0.000	1.000	0.000
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	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 X0175

log Bayes Factor = 45.9153

contains 4 variants

0.9998

Cluster X0196

log Bayes Factor = 301.726

contains 18 variants

0.9991

Cluster X0144

log Bayes Factor = 54.4705

contains 4 variants

0.9549

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.8529

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.5859

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.4875

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2764

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.0952

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.0517

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9999

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9994

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9987

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9986

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9981

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9980

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9975

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9972

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9970

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9963

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9957

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9947

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9940

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9936

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9935

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9935

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9932

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9916

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9899

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9888

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9883

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9882

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9880

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9869

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9851

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9850

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9838

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9776

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9775

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9774

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9762

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9758

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9756

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9740

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9734

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9723

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9708

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9708

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9663

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9636

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9635

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9570

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9545

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9534

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9532

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9487

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9468

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9463

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9457

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9450

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9419

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9416

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9400

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9389

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9378

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9261

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9252

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9216

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9177

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9110

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9096

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9089

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9086

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9073

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.9063

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9042

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8903

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8900

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8889

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8873

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8866

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8714

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8637

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8538

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8519

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8494

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8439

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8410

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8269

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8179

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.8105

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8002

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7950

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7950

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7903

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7903

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7862

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7746

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7691

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7623

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7577

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7551

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7434

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7383

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7348

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7143

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7104

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7045

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7044

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6963

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6792

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6742

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6706

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6686

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6573

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6525

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6493

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6441

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6320

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6285

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.6221

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6164

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6023

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5960

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5816

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5728

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5506

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5463

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5293

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5216

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5182

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5166

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5119

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4598

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4595

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4494

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4441

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4322

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4039

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3975

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3883

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3871

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3757

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3696

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3638

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3577

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3450

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3066

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2967

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2937

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2847

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2840

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2585

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2568

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2371

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2370

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2341

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2291

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1848

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1843

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1833

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1792

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1740

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1677

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1672

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1665

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1656

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1633

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1617

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1585

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1548

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1495

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1489

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.1317

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1062

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1033

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0941

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0900

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0841

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0539

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0513

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0503

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`)