TreeWAS – [M06.94] Rheumatoid arthritis, unspecified (Hand)

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
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.880	0.120	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.869	0.131	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.821	0.179	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.804	0.196	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.788	0.212	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.775	0.225	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.773	0.227	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.764	0.236	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.705	0.295	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.695	0.305	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.656	0.344	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.642	0.358	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.634	0.366	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.627	0.373	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.621	0.379	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.589	0.411	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.589	0.411	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.588	0.412	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.588	0.412	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.571	0.429	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.566	0.434	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.546	0.454	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.534	0.466	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.531	0.469	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	0.469	0.531
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.521	0.479	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.516	0.484	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.511	0.489	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.509	0.491	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.456	0.544	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.454	0.545	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.447	0.553	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.434	0.566	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.418	0.582	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.401	0.599	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.373	0.626	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.363	0.637	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.361	0.638	0.001
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.354	0.646	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.345	0.655	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.344	0.656	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.337	0.663	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.320	0.680	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.319	0.681	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.316	0.684	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.309	0.691	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.307	0.692	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.307	0.693	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.300	0.700	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.296	0.704	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.292	0.708	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.286	0.714	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.278	0.721	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.274	0.726	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.255	0.745	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.253	0.746	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.253	0.747	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.250	0.750	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.245	0.754	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.242	0.758	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.241	0.758	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.240	0.759	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.237	0.763	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.234	0.765	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.000	0.773	0.227
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.227	0.773	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.224	0.776	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.220	0.780	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.218	0.782	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.208	0.792	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.207	0.793	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.207	0.793	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.203	0.796	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.203	0.797	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.202	0.798	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.201	0.799	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.198	0.802	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.197	0.803	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.194	0.806	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.192	0.807	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.189	0.811	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.184	0.816	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.181	0.819	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.181	0.819	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.175	0.825	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.170	0.829	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.167	0.833	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.165	0.834	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.162	0.838	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.151	0.848	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.135	0.865	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.130	0.870	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.124	0.876	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.121	0.879	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.121	0.879	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.120	0.879	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.118	0.882	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.116	0.884	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.114	0.886	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.112	0.888	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.111	0.889	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.107	0.892	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.095	0.904	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.092	0.908	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.091	0.909	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.090	0.910	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.084	0.916	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.082	0.918	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.073	0.925	0.001
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.069	0.930	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.067	0.933	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.933	0.067
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.063	0.936	0.000
rs2293152 lBF = `-0.0506452` Chr`17` : `40,481,529`	0.063	0.937	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.063	0.937	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.062	0.938	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.061	0.939	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.061	0.939	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.058	0.942	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.055	0.944	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.055	0.945	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.053	0.947	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.053	0.947	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	0.950	0.050
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.043	0.957	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.042	0.957	0.001
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.042	0.958	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.040	0.959	0.001
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.041	0.959	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.041	0.959	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.040	0.959	0.001
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.039	0.960	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.038	0.962	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.036	0.964	0.001
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.033	0.966	0.001
rs4790333 lBF = `-0.0403491` Chr`17` : `2,262,703`	0.034	0.966	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.032	0.968	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.030	0.970	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.030	0.970	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.030	0.970	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.030	0.970	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.026	0.973	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.025	0.974	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.024	0.976	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.023	0.977	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.021	0.978	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.020	0.980	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.019	0.981	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.018	0.982	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.017	0.983	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.017	0.983	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.017	0.983	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.016	0.983	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.016	0.984	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.014	0.986	0.001
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	0.986	0.014
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.013	0.987	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.013	0.987	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.013	0.987	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.013	0.987	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.012	0.987	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.012	0.988	0.000
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.012	0.988	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	0.988	0.012
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.000	0.988	0.012
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.000	0.988	0.012
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.012	0.988	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	0.988	0.012
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.010	0.989	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.010	0.989	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	0.990	0.010
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.010	0.990	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.000	0.990	0.010
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	0.990	0.010
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.009	0.991	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.009	0.991	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	0.991	0.009
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.009	0.991	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.009	0.991	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.009	0.991	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.008	0.992	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.008	0.992	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.008	0.992	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.008	0.992	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.008	0.992	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.008	0.992	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.008	0.992	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	0.992	0.008
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.007	0.992	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.993	0.007
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.007	0.993	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.007	0.993	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	0.993	0.007
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.007	0.993	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	0.993	0.007
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	0.994	0.006
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.006	0.994	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.006	0.994	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.000	0.994	0.006
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rs111786708 lBF = `0` Chr`17` : `56,289,177`	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
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	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
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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	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
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.001	0.999	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.001	0.999	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.001	0.999	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	0.999	0.001
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	0.999	0.001
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.001	0.999	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.001	0.999	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	0.999	0.001
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	0.999	0.001
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.000	0.999	0.001
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.001	0.999	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.001	0.999	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.999	0.001
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	0.999	0.001
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	0.999	0.001
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	0.999	0.001
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	0.999	0.001
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.001	0.999	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.000	0.999	0.001
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.001	0.999	0.000
rs1052536 lBF = `-0.103965` Chr`17` : `33,331,575`	0.000	0.999	0.001
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.001	0.999	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	0.999	0.001
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	0.999	0.001
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.001	0.999	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	0.999	0.001
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.001	0.999	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.001	0.999	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.001	0.999	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.001	0.999	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.000	0.999	0.001
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.999	0.001
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.001
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.001	0.999	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.001	0.999	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.000	0.999	0.001
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.001	0.999	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.999	0.001
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	0.999	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.001	0.999	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	0.999	0.001
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	0.999	0.001
rs12940030 lBF = `-0.0589294` Chr`17` : `14,561,016`	0.000	0.999	0.001
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.001	0.999	0.000
rs7209435 lBF = `-0.0111395` Chr`17` : `61,712,964`	0.001	0.999	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.999	0.001
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.001	0.999	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.999	0.001
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	0.999	0.001
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.001	0.999	0.000
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.001	0.999	0.000
rs17736589 lBF = `-0.0669878` Chr`17` : `76,737,118`	0.000	0.999	0.001
rs9905820 lBF = `-0.0883363` Chr`17` : `12,637,371`	0.000	0.999	0.001
rs8070463 lBF = `0.0889562` Chr`17` : `45,768,836`	0.001	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.001	0.999	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	0.999	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	0.999	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.001	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.999	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.001	0.999	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.001	0.999	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.001	0.999	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	0.999	0.000
rs4793529 lBF = `4.52568` Chr`17` : `69,118,636`	0.001	0.999	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.001	0.999	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	0.999	0.001
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	0.999	0.001
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	0.999	0.000
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.000	0.999	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	0.999	0.001
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	0.999	0.001
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	0.999	0.001
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.999	0.001
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	0.999	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.9953

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.7903

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9987

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9937

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9894

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9876

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9875

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9875

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9870

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9866

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9848

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9807

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9778

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9778

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9765

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9759

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9744

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9741

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9686

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9672

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9657

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9647

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9647

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9638

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9570

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9567

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9508

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9458

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9441

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9423

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9421

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.9381

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9376

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9369

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9336

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9326

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9315

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9294

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9227

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9226

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9220

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9183

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9152

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9128

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9021

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9004

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8960

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8903

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8876

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8814

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8782

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8716

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8673

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8632

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8623

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8614

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8593

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8537

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8493

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8484

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8476

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8459

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8437

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8360

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8324

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8311

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8280

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8269

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8206

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8193

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8071

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8061

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7968

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7941

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7784

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7737

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7698

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7675

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7591

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7538

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7504

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7404

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7397

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7395

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7355

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7352

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7289

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7221

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6858

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6640

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6620

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6385

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6369

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6366

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6355

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6309

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6159

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6128

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6016

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5985

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5957

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5945

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5873

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5865

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5813

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5720

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5718

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5631

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5319

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5283

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5252

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5213

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5196

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5156

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4852

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4845

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4531

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4465

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4452

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4320

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4237

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4234

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3986

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3916

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3887

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3757

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3739

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3688

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3470

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3192

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3148

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3011

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.2908

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2886

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2878

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2720

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2700

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2577

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2571

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2525

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2483

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2457

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2372

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2365

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2129

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2127

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1933

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1932

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1912

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1828

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1731

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.1610

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1586

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1572

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1528

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1481

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1443

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1382

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1329

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1257

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1196

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1180

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1167

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1122

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1090

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1085

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.1073

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0950

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0897

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0882

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0828

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0790

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0725

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0667

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0653

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0629

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0582

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0579

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`)