TreeWAS – [M06.99] Rheumatoid arthritis, unspecified (Site unspecified)

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
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.997	0.003	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.970	0.030	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.931	0.069	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.903	0.097	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.898	0.102	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.849	0.151	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.845	0.155	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.782	0.218	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.739	0.261	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.712	0.288	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.705	0.295	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	0.302	0.698
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.677	0.323	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.659	0.341	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.655	0.345	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.626	0.374	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.623	0.377	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.610	0.390	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.600	0.400	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.585	0.415	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.578	0.422	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.575	0.425	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.542	0.458	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.493	0.507	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.491	0.509	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.468	0.532	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.457	0.543	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.446	0.554	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.436	0.564	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.397	0.602	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.393	0.607	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.387	0.613	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.382	0.618	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.379	0.621	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.355	0.645	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.333	0.667	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.303	0.697	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.294	0.705	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.292	0.708	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.258	0.742	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.256	0.744	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.252	0.748	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.248	0.752	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.235	0.765	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.232	0.768	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.229	0.771	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.225	0.775	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.221	0.779	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.214	0.786	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.214	0.786	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.201	0.799	0.000
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	0.812	0.188
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.181	0.819	0.000
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	0.820	0.180
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.175	0.825	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.175	0.825	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.170	0.830	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.169	0.831	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.147	0.853	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.137	0.863	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.132	0.868	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.124	0.876	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.123	0.877	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.123	0.877	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.118	0.882	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.116	0.884	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.115	0.884	0.000
rs2423942 lBF = `-0.0257381` Chr`20` : `15,323,282`	0.000	0.884	0.116
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.114	0.885	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.111	0.889	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.108	0.892	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.103	0.896	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.101	0.899	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.100	0.899	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.098	0.902	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.095	0.905	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.093	0.907	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.091	0.909	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.089	0.911	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.086	0.913	0.001
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.083	0.916	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.082	0.918	0.001
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.078	0.922	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.078	0.922	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.078	0.922	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.071	0.928	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.068	0.931	0.001
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.069	0.931	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.068	0.932	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.065	0.935	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.936	0.063
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.063	0.936	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.938	0.062
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.059	0.940	0.002
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.059	0.941	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.059	0.941	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.056	0.944	0.000
rs6026584 lBF = `-0.0362936` Chr`20` : `57,469,073`	0.053	0.947	0.000
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.050	0.950	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.050	0.950	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	0.953	0.047
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.047	0.953	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.047	0.953	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.046	0.953	0.001
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.046	0.954	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.039	0.960	0.001
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.036	0.963	0.001
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.037	0.963	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.035	0.964	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.031	0.967	0.003
rs4814864 lBF = `22.6761` Chr`20` : `19,469,817`	0.031	0.969	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.031	0.969	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.030	0.970	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.028	0.972	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.027	0.973	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.025	0.973	0.002
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.026	0.974	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.024	0.976	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.024	0.976	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.022	0.978	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.022	0.978	0.000
rs157093 lBF = `-0.0495069` Chr`20` : `56,252,956`	0.022	0.978	0.000
rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.021	0.979	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.021	0.979	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.020	0.979	0.001
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.020	0.980	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.018	0.982	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.017	0.982	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.017	0.982	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	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
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.016	0.984	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.012	0.987	0.001
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.013	0.987	0.000
rs6118083 lBF = `-0.0584738` Chr`20` : `8,114,704`	0.000	0.987	0.013
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.012	0.988	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.012	0.988	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	0.988	0.012
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.010	0.989	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	0.990	0.010
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
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.009	0.991	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.008	0.992	0.000
rs2273061 lBF = `-0.0226879` Chr`20` : `10,639,543`	0.000	0.992	0.008
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.008	0.992	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	0.993	0.007
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.007	0.993	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.006	0.993	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.006	0.994	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.006	0.994	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.006	0.994	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.006	0.994	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.004	0.995	0.001
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.004	0.996	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.004	0.996	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.004	0.996	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.003	0.997	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.003	0.997	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.003	0.997	0.000
rs237450 lBF = `0.0453334` Chr`20` : `47,982,128`	0.003	0.997	0.000
rs6091737 lBF = `-0.12047` Chr`20` : `52,349,892`	0.003	0.997	0.000
rs2077147 lBF = `0.0125322` Chr`20` : `17,825,143`	0.000	0.997	0.003
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.003	0.997	0.000
rs6108801 lBF = `0.234645` Chr`20` : `10,989,519`	0.000	0.997	0.003
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.003	0.997	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.003	0.997	0.000
rs13831 lBF = `-0.0615672` Chr`20` : `57,475,191`	0.003	0.997	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	0.997	0.003
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.002	0.997	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	0.998	0.002
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.002	0.998	0.000
rs6066043 lBF = `-0.0730998` Chr`20` : `45,288,453`	0.000	0.998	0.002
rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	0.998	0.002
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.002	0.998	0.000
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.002	0.998	0.000
rs17194885 lBF = `-0.0174723` Chr`20` : `36,068,389`	0.000	0.998	0.002
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.002	0.998	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.001	0.998	0.000
rs3790160 lBF = `-0.0005509` Chr`20` : `10,639,988`	0.000	0.998	0.002
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.002	0.998	0.000
rs6066084 lBF = `0.0958774` Chr`20` : `45,460,323`	0.002	0.998	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.002	0.998	0.000
rs754626 lBF = `0.0157014` Chr`20` : `36,017,340`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs6136813 lBF = `-0.0822954` Chr`20` : `19,674,218`	0.000	0.998	0.002
rs4809219 lBF = `1.14297` Chr`20` : `62,303,115`	0.001	0.999	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.001	0.999	0.000
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.000	0.999	0.001
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.001	0.999	0.001
rs144017103 lBF = `-0.00449164` Chr`20` : `30,628,982`	0.001	0.999	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.001	0.999	0.000
rs6028945 lBF = `-0.0776588` Chr`20` : `38,820,805`	0.000	0.999	0.001
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
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rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.000	1.000	0.000
rs2281558 lBF = `-0.0584925` Chr`20` : `25,240,189`	0.000	1.000	0.000
rs6075982 lBF = `-0.0773795` Chr`20` : `22,887,257`	0.000	1.000	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	0.000	1.000	0.000
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	1.000	0.000
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	1.000	0.000
rs6108011 lBF = `0.0351163` Chr`20` : `7,552,504`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs4812219 lBF = `-0.029306` Chr`20` : `59,422,971`	0.000	1.000	0.000
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	1.000	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs7266699 lBF = `-0.0796117` Chr`20` : `58,253,438`	0.000	1.000	0.000
rs13045180 lBF = `-0.0807356` Chr`20` : `31,531,544`	0.000	1.000	0.000
rs6128386 lBF = `-0.0837842` Chr`20` : `57,193,549`	0.000	1.000	0.000
rs6011368 lBF = `-0.0861572` Chr`20` : `62,886,504`	0.000	1.000	0.000
rs2021786 lBF = `-0.0924612` Chr`20` : `17,421,978`	0.000	1.000	0.000
rs62192643 lBF = `28.1451` Chr`20` : `2,279,955`	0.000	1.000	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.000	1.000	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs6127813 lBF = `0.166472` Chr`20` : `55,255,054`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	1.000	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs1291101 lBF = `-0.0352245` Chr`20` : `35,494,086`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs13043694 lBF = `-0.039772` Chr`20` : `47,088,154`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs964293 lBF = `-0.0683461` Chr`20` : `52,816,717`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.000	1.000	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.000	1.000	0.000
rs1887320 lBF = `10.7614` Chr`20` : `10,965,998`	0.000	1.000	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	1.000	0.000
rs742614 lBF = `0.351691` Chr`20` : `32,482,632`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs2424635 lBF = `0.0666228` Chr`20` : `24,717,085`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	1.000	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs127430 lBF = `0.00339958` Chr`20` : `57,164,855`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	1.000	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.000	1.000	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs2328223 lBF = `-0.0662184` Chr`20` : `17,845,921`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs6049839 lBF = `-0.0755009` Chr`20` : `2,518,565`	0.000	1.000	0.000
rs6062788 lBF = `-0.0874556` Chr`20` : `61,693,606`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs8114671 lBF = `2.68271` Chr`20` : `33,789,142`	0.000	1.000	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.000	1.000	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.000	1.000	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.000	1.000	0.000
rs59972978 lBF = `0.0623434` Chr`20` : `56,058,355`	0.000	1.000	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs1567865 lBF = `0.0094387` Chr`20` : `47,881,967`	0.000	1.000	0.000
rs4811117 lBF = `0.00042833` Chr`20` : `49,671,435`	0.000	1.000	0.000
rs362987 lBF = `-0.0019999` Chr`20` : `10,277,452`	0.000	1.000	0.000
rs3761218 lBF = `-0.00241807` Chr`20` : `3,776,175`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	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

1.0000

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.9825

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

1.0000

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

1.0000

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9998

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9998

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9995

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9994

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9994

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9991

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9989

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9976

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9956

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9953

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9935

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9866

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9856

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9850

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9842

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9838

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9736

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9675

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9640

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9343

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9203

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9148

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9001

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8871

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8846

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8765

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8666

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8654

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8507

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8320

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8175

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7872

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.7853

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7747

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7556

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7268

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7064

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7028

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6696

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6617

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6206

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6132

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5741

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5594

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4826

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4598

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4384

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3816

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3716

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3693

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3121

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3050

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2781

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2394

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2192

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2088

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2071

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1976

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1975

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1906

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1748

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1605

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.1431

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1397

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1359

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1327

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1303

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1298

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1231

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1211

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1190

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1141

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1116

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1048

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0967

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0838

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0819

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0746

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0737

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0690

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0639

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0628

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0619

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0611

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0597

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0572

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0563

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`)