TreeWAS – [J00] Acute nasopharyngitis [common cold]

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
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.839	0.161	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.739	0.261	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.688	0.312	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.676	0.324	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.673	0.326	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.635	0.365	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.635	0.365	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.633	0.367	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.630	0.370	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.629	0.371	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.617	0.383	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.616	0.384	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.615	0.385	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.604	0.396	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.601	0.399	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.593	0.406	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.592	0.408	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.561	0.439	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.557	0.443	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.551	0.449	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.546	0.453	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.527	0.473	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.502	0.497	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.501	0.498	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.493	0.507	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.493	0.507	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.492	0.508	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.480	0.519	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.479	0.520	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.470	0.530	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.468	0.532	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.466	0.534	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.465	0.535	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.463	0.537	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.456	0.544	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.445	0.554	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.442	0.558	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.440	0.560	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.439	0.561	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.414	0.586	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.409	0.591	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.402	0.597	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.402	0.598	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.387	0.613	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.384	0.616	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.381	0.619	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.377	0.622	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.370	0.630	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.368	0.632	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.362	0.638	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.358	0.641	0.001
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.351	0.648	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.348	0.652	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.347	0.653	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.331	0.669	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.320	0.680	0.001
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.301	0.699	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.285	0.714	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.263	0.737	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.251	0.749	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.246	0.753	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.243	0.757	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.222	0.778	0.001
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.207	0.792	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.201	0.798	0.001
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.198	0.802	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.194	0.806	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.179	0.821	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.167	0.833	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.165	0.834	0.001
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.165	0.835	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.162	0.838	0.001
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.158	0.842	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.157	0.842	0.001
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.154	0.845	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.148	0.852	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.140	0.860	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.140	0.860	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.126	0.873	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.876	0.123
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.123	0.877	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.122	0.878	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.121	0.879	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.120	0.879	0.001
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.120	0.879	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.120	0.880	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.116	0.884	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.113	0.887	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.112	0.888	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.109	0.891	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.101	0.899	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.100	0.900	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.084	0.915	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.077	0.923	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.064	0.936	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.945	0.055
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.052	0.948	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.049	0.951	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.046	0.953	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.045	0.955	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.041	0.958	0.001
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.041	0.959	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.040	0.960	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.035	0.965	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.034	0.965	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.029	0.970	0.000
rs150097070 lBF = `0.0457431` Chr`20` : `18,660,667`	0.000	0.970	0.029
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.026	0.974	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.025	0.974	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.025	0.975	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.025	0.975	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.024	0.976	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.021	0.978	0.001
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.021	0.978	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.022	0.978	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.021	0.979	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.020	0.980	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.019	0.980	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.019	0.981	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.019	0.981	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.981	0.018
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.016	0.983	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.984	0.016
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.016	0.984	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.016	0.984	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.016	0.984	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.015	0.985	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.014	0.985	0.001
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.015	0.985	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.015	0.985	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.014	0.986	0.000
rs754626 lBF = `0.0157014` Chr`20` : `36,017,340`	0.013	0.987	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.012	0.988	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.011	0.988	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.011	0.989	0.000
rs11699160 lBF = `14.6736` Chr`20` : `60,958,651`	0.000	0.990	0.010
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.010	0.990	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.009	0.991	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.008	0.991	0.000
rs11087123 lBF = `0.0066013` Chr`20` : `15,120,744`	0.009	0.991	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.008	0.992	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.008	0.992	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.007	0.993	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.007	0.993	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.006	0.993	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.005	0.994	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.005	0.995	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.005	0.995	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.995	0.005
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.003	0.997	0.000
rs13043694 lBF = `-0.039772` Chr`20` : `47,088,154`	0.003	0.997	0.000
rs62195918 lBF = `-0.0297742` Chr`20` : `8,275,645`	0.000	0.997	0.003
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.002	0.997	0.001
rs6120849 lBF = `2.31896` Chr`20` : `33,730,387`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.002	0.997	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.003	0.997	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.003	0.997	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.003	0.997	0.000
rs6072091 lBF = `-0.0686652` Chr`20` : `39,292,074`	0.000	0.998	0.002
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs2206405 lBF = `-0.127554` Chr`20` : `7,638,949`	0.002	0.998	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.002	0.998	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.002	0.998	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	0.998	0.002
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.002	0.998	0.000
rs6062496 lBF = `5.7564` Chr`20` : `62,329,099`	0.002	0.998	0.000
rs2236507 lBF = `1.22066` Chr`20` : `62,323,006`	0.002	0.998	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.002	0.998	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.002	0.998	0.000
rs6118083 lBF = `-0.0584738` Chr`20` : `8,114,704`	0.002	0.998	0.000
rs181124765 lBF = `0.00129129` Chr`20` : `52,711,440`	0.000	0.998	0.002
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.001	0.998	0.001
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.002	0.998	0.000
rs6031882 lBF = `-0.0702694` Chr`20` : `35,809,783`	0.002	0.998	0.000
rs742614 lBF = `0.351691` Chr`20` : `32,482,632`	0.002	0.998	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	0.998	0.002
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.002	0.998	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.002	0.998	0.000
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.002	0.998	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.002	0.998	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.001	0.998	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	0.998	0.001
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	0.001	0.999	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	0.999	0.001
rs6062302 lBF = `1.19347` Chr`20` : `62,320,968`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs12480819 lBF = `-0.0786368` Chr`20` : `17,592,300`	0.000	0.999	0.001
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	0.999	0.001
rs495337 lBF = `-0.111289` Chr`20` : `48,522,330`	0.000	0.999	0.001
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.001	0.999	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.001	0.999	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	0.999	0.001
rs6030712 lBF = `-0.0770843` Chr`20` : `35,637,398`	0.000	0.999	0.001
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	0.999	0.001
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	0.999	0.001
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rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	1.000	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs2745851 lBF = `-0.0147856` Chr`20` : `17,829,280`	0.000	1.000	0.000
rs6110577 lBF = `-0.0322145` Chr`20` : `15,335,754`	0.000	1.000	0.000
rs6052699 lBF = `-0.0601829` Chr`20` : `4,611,877`	0.000	1.000	0.000
rs2236200 lBF = `11.5014` Chr`20` : `60,986,019`	0.000	1.000	0.000
rs6058869 lBF = `0.700504` Chr`20` : `31,348,750`	0.000	1.000	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	1.000	0.000
rs6127978 lBF = `0.10398` Chr`20` : `55,819,173`	0.000	1.000	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.000	1.000	0.000
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs6011674 lBF = `-0.0667445` Chr`20` : `61,854,452`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs6066825 lBF = `2.9191` Chr`20` : `47,340,117`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs6087990 lBF = `0.275541` Chr`20` : `31,349,908`	0.000	1.000	0.000
rs59972978 lBF = `0.0623434` Chr`20` : `56,058,355`	0.000	1.000	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs7267348 lBF = `-0.0205561` Chr`20` : `48,131,036`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs6013509 lBF = `-0.0274664` Chr`20` : `51,318,351`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs1160312 lBF = `-0.0427852` Chr`20` : `22,050,503`	0.000	1.000	0.000
rs2236178 lBF = `-0.0488682` Chr`20` : `21,142,813`	0.000	1.000	0.000
rs6068020 lBF = `-0.113666` Chr`20` : `50,559,652`	0.000	1.000	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	1.000	0.000
rs970084 lBF = `0.222611` Chr`20` : `1,221,171`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs6062344 lBF = `0.123965` Chr`20` : `62,696,024`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	1.000	0.000
rs6071166 lBF = `-0.0188854` Chr`20` : `37,333,012`	0.000	1.000	0.000
rs913678 lBF = `-0.0425097` Chr`20` : `48,955,424`	0.000	1.000	0.000
rs13040824 lBF = `-0.054021` Chr`20` : `2,225,869`	0.000	1.000	0.000
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.000	1.000	0.000
rs847058 lBF = `-0.108421` Chr`20` : `45,232,757`	0.000	1.000	0.000
rs6070346 lBF = `-0.111049` Chr`20` : `56,663,274`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	1.000	0.000
rs13042473 lBF = `0.0190139` Chr`20` : `41,409,901`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs965469 lBF = `-0.00732339` Chr`20` : `3,381,549`	0.000	1.000	0.000
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
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.000	1.000	0.000
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	1.000	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	1.000	0.000
rs2743173 lBF = `-0.114989` Chr`20` : `8,245,293`	0.000	1.000	0.000
rs8114671 lBF = `2.68271` Chr`20` : `33,789,142`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	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
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs8123881 lBF = `-0.0297727` Chr`20` : `15,819,495`	0.000	1.000	0.000
rs238295 lBF = `-0.0365252` Chr`20` : `5,588,449`	0.000	1.000	0.000
rs6092477 lBF = `-0.0478855` Chr`20` : `55,991,695`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.000	1.000	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7275

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9812

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9670

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9570

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9486

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9460

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9422

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9210

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9105

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9031

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8948

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8812

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8656

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8597

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8556

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8544

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8541

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8528

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8504

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8368

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8332

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8327

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8265

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8242

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8182

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8163

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8112

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8058

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7955

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7869

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7859

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7819

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7770

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7680

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7660

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7652

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7591

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7401

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7382

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7332

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7263

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7235

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7222

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7218

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7109

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7073

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6839

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6749

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6736

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6707

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6659

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6650

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6620

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6595

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6525

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6486

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6279

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6178

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6178

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5852

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5849

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5826

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5801

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5778

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5749

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5696

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5643

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5602

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5488

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5427

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5392

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5300

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5164

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4883

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4836

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4768

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4590

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4588

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4549

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4511

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4497

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4473

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4427

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4409

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4357

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4352

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4141

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4032

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3955

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3886

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3885

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3850

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3512

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3420

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3241

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3174

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3095

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3086

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3033

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3006

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2992

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2920

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2818

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2791

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2743

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2557

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2509

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2506

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2471

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2348

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2291

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2288

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2279

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2209

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2205

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2082

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2082

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2011

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1969

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1942

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1847

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1813

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1778

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1571

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1545

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1505

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1464

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1449

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1360

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1339

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1321

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1269

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1245

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1241

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1214

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1169

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1129

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1094

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1084

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0993

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0910

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0895

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0873

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0829

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0777

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0741

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0713

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0666

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0622

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0618

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0586

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0549

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0530

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`)