TreeWAS – [J18.9] Pneumonia, 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
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.932	0.068	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.917	0.083	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.854	0.146	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.825	0.175	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.818	0.182	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.800	0.200	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.772	0.228	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.762	0.238	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.747	0.253	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.708	0.292	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.680	0.320	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.667	0.333	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.642	0.358	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.621	0.379	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.591	0.409	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.537	0.462	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.519	0.481	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.496	0.504	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.477	0.523	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.468	0.532	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.453	0.547	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.448	0.552	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.437	0.563	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.422	0.578	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.390	0.610	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.340	0.660	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.334	0.666	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.329	0.671	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.304	0.696	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.295	0.705	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.290	0.710	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.288	0.712	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.287	0.713	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.274	0.726	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.258	0.742	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.255	0.745	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.247	0.753	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.246	0.754	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.234	0.766	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.226	0.774	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.223	0.777	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.221	0.778	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.198	0.802	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.194	0.805	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.193	0.807	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.186	0.814	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.179	0.820	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.179	0.821	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.177	0.823	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.173	0.827	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.173	0.827	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.170	0.830	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.162	0.838	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.148	0.852	0.001
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.144	0.856	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.142	0.858	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.132	0.868	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.128	0.872	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.122	0.878	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.117	0.883	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.113	0.887	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.111	0.889	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.111	0.889	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.110	0.890	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.099	0.901	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.095	0.905	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.093	0.907	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.091	0.909	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.089	0.911	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.087	0.913	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.086	0.914	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.081	0.918	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.078	0.922	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.076	0.923	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.075	0.925	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.068	0.932	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.067	0.933	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.065	0.935	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.065	0.935	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.060	0.940	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.941	0.059
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.056	0.944	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.056	0.944	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.055	0.945	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.055	0.945	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.049	0.951	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.046	0.953	0.001
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.046	0.954	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.045	0.955	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.043	0.957	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.040	0.960	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.040	0.960	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.038	0.962	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.037	0.963	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.037	0.963	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	0.964	0.036
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.035	0.965	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.032	0.968	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.032	0.968	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.031	0.968	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.030	0.969	0.001
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.030	0.970	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.028	0.972	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.027	0.973	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.026	0.974	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.026	0.974	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.023	0.977	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.022	0.978	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.021	0.978	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.021	0.979	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.019	0.979	0.001
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.020	0.980	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.020	0.980	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.020	0.980	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.019	0.981	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.019	0.981	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.018	0.982	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.018	0.982	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.017	0.983	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.017	0.983	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.984	0.016
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.015	0.985	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.013	0.986	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	0.986	0.014
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.013	0.987	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.012	0.988	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.012	0.988	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.011	0.989	0.000
rs4789693 lBF = `-0.0811928` Chr`17` : `80,421,870`	0.000	0.989	0.011
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.011	0.989	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.011	0.989	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	0.990	0.010
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.009	0.991	0.001
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.992	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.008	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.992	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.008	0.992	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.007	0.993	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.006	0.994	0.000
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	0.994	0.006
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.005	0.994	0.001
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.006	0.994	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.006	0.994	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.006	0.994	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.005	0.995	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.005	0.995	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.004	0.996	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.996	0.004
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.004	0.996	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.004	0.996	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	0.996	0.004
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.996	0.000
rs11650106 lBF = `0.0426128` Chr`17` : `57,850,251`	0.000	0.996	0.004
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.003	0.997	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.003	0.997	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.003	0.997	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.002	0.998	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.002	0.998	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.002	0.998	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.002	0.998	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.000	0.998	0.002
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.002	0.998	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.998	0.002
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.999	0.001
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.001	0.999	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	0.999	0.001
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.999	0.001
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	0.999	0.001
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.001	0.999	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.001	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.001	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.001	0.999	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs9901225 lBF = `0.0666571` Chr`17` : `40,755,811`	0.000	0.999	0.001
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
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rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	1.000	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	1.000	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs684232 lBF = `-0.0892809` Chr`17` : `618,965`	0.000	1.000	0.000
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	1.000	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.000	1.000	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.000	1.000	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.000	1.000	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.000	1.000	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	1.000	0.000
rs11651708 lBF = `-0.057113` Chr`17` : `64,517,313`	0.000	1.000	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	1.000	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	1.000	0.000
rs6503319 lBF = `-0.0705758` Chr`17` : `10,574,159`	0.000	1.000	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs164009 lBF = `-0.0778174` Chr`17` : `74,283,669`	0.000	1.000	0.000
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.000	1.000	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.000	1.000	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	1.000	0.000
rs227731 lBF = `-0.0957209` Chr`17` : `54,773,238`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs8081264 lBF = `7.94459` Chr`17` : `7,235,316`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.000	1.000	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	1.000	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	1.000	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	1.000	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	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

0.1064

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9996

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9993

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9986

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9978

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9978

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9973

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9963

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9956

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9940

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9925

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9913

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9762

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9731

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9709

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9613

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9568

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9339

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9295

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9219

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9171

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8930

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8345

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8301

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7958

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7729

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7515

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7457

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7426

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6454

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5982

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5944

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5514

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5462

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5440

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5405

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5401

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5390

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5326

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4381

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4236

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4118

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3596

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3165

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2796

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2781

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2421

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2245

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1836

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1820

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1716

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1435

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1391

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1302

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1247

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1186

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1014

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0956

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0945

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0704

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0680

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0653

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0605

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0569

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`)