TreeWAS – [M06.96] Rheumatoid arthritis, unspecified (Lower leg)

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
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.856	0.143	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.814	0.186	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.783	0.217	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.777	0.223	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.724	0.276	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.710	0.290	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.695	0.305	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.679	0.321	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.658	0.342	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.655	0.345	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.646	0.354	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.643	0.357	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.621	0.379	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.601	0.399	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.568	0.432	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.561	0.439	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.528	0.472	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.527	0.473	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.518	0.482	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	0.493	0.507
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.505	0.495	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.484	0.516	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.476	0.524	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.447	0.553	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.444	0.556	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.427	0.573	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.426	0.574	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.422	0.577	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.391	0.608	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.388	0.612	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.384	0.616	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.379	0.621	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.378	0.622	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.360	0.640	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.348	0.652	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.341	0.659	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.322	0.678	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.303	0.697	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.288	0.712	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.283	0.717	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.272	0.728	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.272	0.728	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.268	0.732	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.265	0.735	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.257	0.743	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.253	0.747	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.242	0.758	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.233	0.767	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.231	0.769	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.229	0.771	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.226	0.774	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.226	0.774	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.225	0.775	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.225	0.775	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.221	0.779	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.220	0.779	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.220	0.780	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.218	0.782	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.196	0.803	0.000
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	0.812	0.188
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	0.820	0.180
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.179	0.821	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.171	0.829	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.167	0.833	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.164	0.835	0.001
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.164	0.835	0.001
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.161	0.839	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.160	0.840	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.158	0.842	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.148	0.852	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.147	0.852	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.139	0.861	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.139	0.861	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.139	0.861	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.130	0.870	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.130	0.870	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.129	0.871	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.128	0.871	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.126	0.873	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.121	0.879	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.119	0.881	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.118	0.881	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.118	0.882	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.117	0.883	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.116	0.884	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.111	0.889	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.110	0.890	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.103	0.897	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.101	0.899	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.100	0.900	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.099	0.900	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.097	0.901	0.001
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.906	0.094
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.093	0.906	0.001
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.093	0.906	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.092	0.907	0.001
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.082	0.917	0.001
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.078	0.921	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.078	0.922	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.074	0.925	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.070	0.929	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.938	0.062
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.062	0.938	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.061	0.939	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.058	0.942	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.056	0.944	0.000
rs4814864 lBF = `22.6761` Chr`20` : `19,469,817`	0.055	0.945	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.048	0.951	0.001
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.045	0.954	0.000
rs6026584 lBF = `-0.0362936` Chr`20` : `57,469,073`	0.044	0.956	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.044	0.956	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.043	0.957	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.043	0.957	0.000
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.042	0.958	0.000
rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.041	0.959	0.000
rs157093 lBF = `-0.0495069` Chr`20` : `56,252,956`	0.041	0.959	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.040	0.960	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.040	0.960	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.036	0.964	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.035	0.964	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.034	0.965	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.033	0.966	0.001
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.031	0.969	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.029	0.971	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.029	0.971	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	0.972	0.028
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.024	0.975	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.024	0.976	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	0.976	0.024
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.022	0.978	0.000
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	0.978	0.022
rs2077147 lBF = `0.0125322` Chr`20` : `17,825,143`	0.000	0.980	0.020
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.019	0.981	0.000
rs2423942 lBF = `-0.0257381` Chr`20` : `15,323,282`	0.000	0.982	0.018
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.018	0.982	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.017	0.982	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.017	0.983	0.000
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.017	0.983	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.016	0.984	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.016	0.984	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.015	0.985	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.014	0.985	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.014	0.985	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.014	0.985	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.014	0.986	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.014	0.986	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.013	0.987	0.000
rs6118083 lBF = `-0.0584738` Chr`20` : `8,114,704`	0.000	0.987	0.013
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.012	0.988	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.011	0.988	0.001
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.011	0.989	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.010	0.989	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.010	0.990	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.010	0.990	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.010	0.990	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.009	0.990	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.991	0.009
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.008	0.992	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	0.992	0.008
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	0.993	0.007
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.007	0.993	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.006	0.993	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	0.994	0.006
rs2273061 lBF = `-0.0226879` Chr`20` : `10,639,543`	0.000	0.994	0.006
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	0.994	0.006
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.006	0.994	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.005	0.995	0.000
rs4809219 lBF = `1.14297` Chr`20` : `62,303,115`	0.005	0.995	0.000
rs6088792 lBF = `9.74149` Chr`20` : `33,909,784`	0.000	0.995	0.005
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.005	0.995	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.005	0.995	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	0.995	0.005
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.005	0.995	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.004	0.996	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.004	0.996	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.004	0.996	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.004	0.996	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.004	0.996	0.000
rs6066825 lBF = `2.9191` Chr`20` : `47,340,117`	0.004	0.996	0.000
rs13831 lBF = `-0.0615672` Chr`20` : `57,475,191`	0.004	0.996	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.004	0.996	0.000
rs4809330 lBF = `1.79195` Chr`20` : `62,349,586`	0.003	0.996	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.003	0.997	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.003	0.997	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.003	0.997	0.000
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.003	0.997	0.000
rs6136813 lBF = `-0.0822954` Chr`20` : `19,674,218`	0.000	0.997	0.003
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.003	0.997	0.000
rs6062504 lBF = `1.8324` Chr`20` : `62,348,907`	0.003	0.997	0.000
rs2315008 lBF = `1.81178` Chr`20` : `62,343,956`	0.003	0.997	0.000
rs1014897 lBF = `0.064475` Chr`20` : `895,457`	0.000	0.997	0.003
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.003	0.997	0.000
rs852069 lBF = `-0.0667541` Chr`20` : `17,122,593`	0.000	0.997	0.003
rs237450 lBF = `0.0453334` Chr`20` : `47,982,128`	0.003	0.997	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.002	0.997	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.997	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.002	0.997	0.000
rs6010620 lBF = `0.974268` Chr`20` : `62,309,839`	0.002	0.998	0.000
rs6062509 lBF = `2.59827` Chr`20` : `62,362,563`	0.002	0.998	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.002	0.998	0.000
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rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	1.000	0.000
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.000	1.000	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	1.000	0.000
rs6062496 lBF = `5.7564` Chr`20` : `62,329,099`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs6120141 lBF = `0.0159469` Chr`20` : `31,768,655`	0.000	1.000	0.000
rs362987 lBF = `-0.0019999` Chr`20` : `10,277,452`	0.000	1.000	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	1.000	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	1.000	0.000
rs13043694 lBF = `-0.039772` Chr`20` : `47,088,154`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs6070346 lBF = `-0.111049` Chr`20` : `56,663,274`	0.000	1.000	0.000
rs4911494 lBF = `35.7111` Chr`20` : `33,971,914`	0.000	1.000	0.000
rs6088316 lBF = `17.437` Chr`20` : `32,426,842`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	1.000	0.000
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	1.000	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	1.000	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	0.000	1.000	0.000
rs8116927 lBF = `5.67793` Chr`20` : `2,261,387`	0.000	1.000	0.000
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs16985615 lBF = `-0.0301459` Chr`20` : `23,642,427`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs6059101 lBF = `-0.0598342` Chr`20` : `31,718,653`	0.000	1.000	0.000
rs2328223 lBF = `-0.0662184` Chr`20` : `17,845,921`	0.000	1.000	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	0.000	1.000	0.000
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	1.000	0.000
rs62192643 lBF = `28.1451` Chr`20` : `2,279,955`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs6135309 lBF = `0.292984` Chr`20` : `14,902,522`	0.000	1.000	0.000
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs6017317 lBF = `-0.00063152` Chr`20` : `42,946,966`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs6032614 lBF = `-0.048299` Chr`20` : `44,609,595`	0.000	1.000	0.000
rs6090583 lBF = `-0.0566955` Chr`20` : `45,558,831`	0.000	1.000	0.000
rs6044112 lBF = `-0.0790804` Chr`20` : `16,536,414`	0.000	1.000	0.000
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	1.000	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.000	1.000	0.000
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.000	1.000	0.000
rs157089 lBF = `-0.0601448` Chr`20` : `56,250,943`	0.000	1.000	0.000
rs8118008 lBF = `-0.0812984` Chr`20` : `3,168,166`	0.000	1.000	0.000
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.000	1.000	0.000
rs6013012 lBF = `6.74262` Chr`20` : `49,391,906`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs6085533 lBF = `0.102245` Chr`20` : `6,375,460`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	1.000	0.000
rs6045676 lBF = `-0.0278278` Chr`20` : `1,941,171`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	1.000	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.000	1.000	0.000
rs6028945 lBF = `-0.0776588` Chr`20` : `38,820,805`	0.000	1.000	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	1.000	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	1.000	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	1.000	0.000
rs4911414 lBF = `10.0514` Chr`20` : `32,729,444`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs6120849 lBF = `2.31896` Chr`20` : `33,730,387`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	1.000	0.000
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs2745851 lBF = `-0.0147856` Chr`20` : `17,829,280`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs6044834 lBF = `-0.0292816` Chr`20` : `17,436,473`	0.000	1.000	0.000
rs8123881 lBF = `-0.0297727` Chr`20` : `15,819,495`	0.000	1.000	0.000
rs6047844 lBF = `-0.037577` Chr`20` : `22,037,575`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	1.000	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	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 X0254

log Bayes Factor = 16.9606

contains 2 variants

0.9750

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.4541

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9977

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9971

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9908

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9873

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9859

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9825

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9818

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9801

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9795

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9714

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9712

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9680

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9677

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9664

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9640

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9619

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9538

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.9524

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9512

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9509

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9490

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9405

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9343

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9339

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9293

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9280

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9274

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9251

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9214

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9201

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9166

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9148

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.9126

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9117

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9095

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8994

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8944

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8924

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8913

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8860

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8847

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8795

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8707

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8704

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8679

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8620

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8618

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8610

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8584

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8563

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8486

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8431

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8431

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8375

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8358

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8303

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8225

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8168

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8125

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7960

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7904

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7901

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7810

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7752

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7746

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7740

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7709

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.7670

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7612

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7487

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7410

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7373

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7187

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6773

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6739

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6690

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6678

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6633

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6610

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6598

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6568

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6551

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6466

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6289

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6112

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6072

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6027

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5974

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5897

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5896

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5894

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5866

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5853

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5830

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5772

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5762

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5748

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5527

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5484

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5470

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5412

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5386

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5315

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5314

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5309

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5296

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4814

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4803

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4749

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4647

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4535

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4510

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4433

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4355

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4350

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4333

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4198

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4189

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4117

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3986

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3967

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3922

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3919

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3899

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3604

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3503

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3471

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3444

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3339

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3290

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3270

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3043

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3002

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3002

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2904

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2887

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2829

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2797

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.2731

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2723

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2706

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2680

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2526

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2461

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2452

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2450

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.2385

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2362

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2283

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2135

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1806

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1740

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1694

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1621

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1514

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1479

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1468

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1464

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1427

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1234

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1213

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1201

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1138

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1099

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0997

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0942

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0912

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0879

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0810

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0703

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0663

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0646

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0610

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0594

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0594

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`)