TreeWAS – [B96.3] Haemophilus influenzae [H. influenzae] as the cause of diseases classified to other chapters

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
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.812	0.188	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.783	0.217	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.782	0.218	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.765	0.235	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.750	0.250	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.747	0.253	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.745	0.255	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.741	0.259	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.715	0.285	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.700	0.300	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.699	0.301	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.689	0.311	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.689	0.311	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.670	0.329	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.670	0.330	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.664	0.336	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.655	0.345	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.649	0.351	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.649	0.351	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.637	0.363	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.636	0.364	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.635	0.365	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.629	0.371	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.620	0.380	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.598	0.402	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.596	0.404	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.574	0.426	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.564	0.436	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.563	0.437	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.554	0.446	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.534	0.466	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.532	0.467	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.528	0.472	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.517	0.483	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.459	0.540	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.449	0.551	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.437	0.562	0.001
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.427	0.573	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.418	0.582	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.410	0.589	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.391	0.609	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.611	0.389
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.388	0.612	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.384	0.616	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.373	0.627	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.359	0.641	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.347	0.653	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.340	0.659	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.339	0.661	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.337	0.663	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.324	0.675	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.300	0.700	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.288	0.712	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.277	0.723	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.275	0.725	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.272	0.728	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.270	0.730	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.269	0.731	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.267	0.732	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.266	0.734	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.240	0.760	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.231	0.769	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.217	0.783	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.212	0.788	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.212	0.788	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.187	0.813	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.186	0.814	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.185	0.814	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.185	0.815	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.183	0.816	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.182	0.818	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.181	0.819	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.176	0.824	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.172	0.828	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.169	0.831	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.167	0.833	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.165	0.834	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.164	0.836	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.163	0.837	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.162	0.838	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.161	0.839	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.159	0.840	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.157	0.843	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.134	0.866	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.127	0.873	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.127	0.873	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.126	0.874	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.126	0.874	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.124	0.876	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.119	0.881	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.111	0.889	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.108	0.892	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.106	0.894	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.103	0.897	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.101	0.898	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.099	0.901	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.099	0.901	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.093	0.907	0.001
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.093	0.907	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.091	0.909	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.089	0.911	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.081	0.919	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.080	0.920	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.076	0.924	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.071	0.928	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.067	0.933	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.061	0.939	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.058	0.942	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.055	0.945	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.054	0.946	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.054	0.946	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.053	0.946	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.046	0.954	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.044	0.955	0.001
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.043	0.957	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.037	0.963	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.034	0.966	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.034	0.966	0.001
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.031	0.969	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.030	0.970	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.029	0.971	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.029	0.971	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.027	0.973	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.027	0.973	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.024	0.976	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.024	0.976	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.024	0.976	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.022	0.978	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.020	0.979	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.019	0.981	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.014	0.985	0.001
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.014	0.986	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.014	0.986	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.013	0.986	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.012	0.987	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.012	0.988	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.012	0.988	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.012	0.988	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.010	0.990	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.006	0.994	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.995	0.005
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.005	0.995	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.005	0.995	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.005	0.995	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.004	0.996	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.004	0.996	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.003	0.996	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.003	0.997	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.997	0.001
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.003	0.997	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.002	0.998	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.998	0.002
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.998	0.002
rs6503319 lBF = `-0.0705758` Chr`17` : `10,574,159`	0.002	0.998	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.002	0.998	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.002	0.998	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.998	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.998	0.002
rs2672886 lBF = `-0.0283686` Chr`17` : `78,781,651`	0.000	0.998	0.002
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.001	0.998	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.001	0.998	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.999	0.001
rs4790333 lBF = `-0.0403491` Chr`17` : `2,262,703`	0.000	0.999	0.001
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	0.999	0.001
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.001	0.999	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	0.999	0.001
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.000	0.999	0.001
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs1052536 lBF = `-0.103965` Chr`17` : `33,331,575`	0.001	0.999	0.000
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.001	0.999	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.001
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.001	0.999	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.001	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
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
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
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
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rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.000	1.000	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.000	1.000	0.000
rs6503525 lBF = `6.47206` Chr`17` : `38,095,174`	0.000	1.000	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs9896052 lBF = `0.251979` Chr`17` : `73,418,862`	0.000	1.000	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	1.000	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	1.000	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs5415 lBF = `0.583017` Chr`17` : `7,184,481`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs11650106 lBF = `0.0426128` Chr`17` : `57,850,251`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs11868035 lBF = `-0.0214466` Chr`17` : `17,715,101`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs8065311 lBF = `-0.0275393` Chr`17` : `54,203,360`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	1.000	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	1.000	0.000
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs12940622 lBF = `0.0309402` Chr`17` : `78,615,571`	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
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs3764400 lBF = `-0.0214903` Chr`17` : `46,123,932`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.000	1.000	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	1.000	0.000
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.000	1.000	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs870829 lBF = `5.15067` Chr`17` : `38,068,382`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
rs225190 lBF = `-0.108737` Chr`17` : `30,877,658`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	1.000	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	1.000	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.000	1.000	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	1.000	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.2723

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2289

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0810

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9948

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9947

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9932

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9882

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9873

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9810

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9791

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9768

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9766

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9666

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9661

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9642

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9609

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9594

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9593

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9587

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9553

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9506

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9473

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9442

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9412

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9347

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9310

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9303

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9187

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9157

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9063

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8942

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8933

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8847

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8750

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8710

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8672

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8648

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8602

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8527

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8481

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8302

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8270

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8263

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8202

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8147

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8110

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8107

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8026

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7991

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7977

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7870

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7796

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7789

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7777

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7568

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7529

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7525

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7515

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7473

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7330

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7261

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7095

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7055

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6673

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6672

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6661

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6614

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6465

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6417

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6341

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6211

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6119

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6045

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6009

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5774

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5748

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5694

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5574

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5377

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5326

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5138

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5136

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5129

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4597

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4446

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4433

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4301

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4280

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3886

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3755

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3621

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2908

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2707

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2702

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2682

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2540

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2437

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2203

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2198

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2093

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1807

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1736

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1712

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1613

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1387

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1322

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1271

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1267

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1263

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1225

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1193

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1192

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1174

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1156

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1069

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1065

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1061

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1053

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0988

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0954

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0917

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0809

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0801

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0720

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0641

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0632

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0618

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0558

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0533

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0516

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`)