TreeWAS – [Z04.9] Examination and observation for unspecified reason

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
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.774	0.226	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.573	0.427	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.571	0.429	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.561	0.439	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.543	0.457	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.468	0.532	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.446	0.554	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.444	0.555	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.432	0.568	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.402	0.598	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.383	0.617	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.380	0.620	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.377	0.623	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.372	0.628	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.370	0.630	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.363	0.637	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.359	0.641	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.353	0.647	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.352	0.647	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.323	0.676	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.321	0.679	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.319	0.681	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.317	0.683	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.287	0.713	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.286	0.714	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.278	0.722	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.273	0.727	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.267	0.733	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.265	0.735	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.263	0.737	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.238	0.762	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.222	0.778	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.201	0.798	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.190	0.809	0.001
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.189	0.810	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.183	0.817	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.166	0.833	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.155	0.844	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.145	0.855	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.141	0.858	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.132	0.868	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.123	0.877	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.111	0.888	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.106	0.894	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.105	0.894	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.103	0.897	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.083	0.916	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.076	0.923	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.072	0.927	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.068	0.932	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.063	0.937	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.060	0.940	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.060	0.940	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.056	0.944	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.055	0.945	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.054	0.945	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.052	0.948	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.048	0.952	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.045	0.955	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.044	0.956	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.043	0.957	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.041	0.959	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.962	0.038
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.036	0.963	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.036	0.964	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.034	0.965	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.032	0.968	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.029	0.971	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.028	0.972	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.027	0.973	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.027	0.973	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.025	0.974	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.024	0.976	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.023	0.977	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.023	0.977	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.022	0.978	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.019	0.981	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.016	0.984	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.013	0.987	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.012	0.988	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.012	0.988	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.012	0.988	0.001
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.988	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.011	0.989	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.011	0.989	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.010	0.989	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.010	0.990	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.009	0.991	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.009	0.991	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.009	0.991	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.008	0.992	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.008	0.992	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.992	0.008
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs3785859 lBF = `-0.087359` Chr`17` : `59,379,738`	0.007	0.993	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.007	0.993	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.006	0.994	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.006	0.994	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.006	0.994	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.006	0.994	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.005	0.995	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.004	0.995	0.001
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.004	0.995	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	0.996	0.004
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.004	0.996	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.004	0.996	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.004	0.996	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.004	0.996	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.004	0.996	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.004	0.996	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.004	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.996	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.003	0.996	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.997	0.003
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	0.997	0.003
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	0.997	0.003
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.003	0.997	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.003	0.997	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.003	0.997	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.003	0.997	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.003	0.997	0.000
rs944722 lBF = `-0.0285062` Chr`17` : `26,092,037`	0.000	0.997	0.003
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.997	0.002
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	0.997	0.002
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.003	0.997	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.003	0.997	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	0.998	0.002
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.002	0.998	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.002	0.998	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.001	0.998	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.998	0.000
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.002	0.998	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.002	0.998	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.002	0.998	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.001	0.998	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.998	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	0.998	0.002
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.001	0.998	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.001	0.998	0.001
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.998	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.001	0.998	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.001
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	0.999	0.001
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	0.999	0.001
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.001	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.001	0.999	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.001	0.999	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.001	0.999	0.000
rs9902453 lBF = `0.0184464` Chr`17` : `28,349,095`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.001
rs7206971 lBF = `-0.0210073` Chr`17` : `45,425,115`	0.000	0.999	0.001
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.000	0.999	0.001
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.001	0.999	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	0.999	0.001
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.001	0.999	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	0.999	0.001
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.001	0.999	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	0.999	0.001
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	0.999	0.001
rs2291447 lBF = `-0.113286` Chr`17` : `43,212,963`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	0.999	0.001
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	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
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.001	0.999	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	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
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	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
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
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Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	0.999	0.001
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	0.999	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	0.999	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	0.999	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	0.999	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	0.999	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	0.999	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	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
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	1.000	0.000
rs7220048 lBF = `-0.048725` Chr`17` : `79,118,573`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.000	1.000	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.000	1.000	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	1.000	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	1.000	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	1.000	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	1.000	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	1.000	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	1.000	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.000	1.000	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	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

0.0881

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9983

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9738

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9673

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9670

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9460

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9358

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9250

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9216

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9119

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9044

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8808

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8635

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8340

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8316

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8223

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7862

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7830

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7824

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7792

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7767

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7685

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7541

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7492

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7485

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7403

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6842

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6633

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6511

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6504

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6344

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6234

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6174

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6164

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6004

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5758

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5701

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5549

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5543

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5443

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5292

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5157

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5103

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5077

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5072

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4955

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4937

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4798

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4750

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4729

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4726

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4625

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4581

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4507

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4504

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4412

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4378

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4376

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4183

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4043

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3740

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3718

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3712

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3676

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3588

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2928

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2719

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2680

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2581

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2519

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2448

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2426

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2074

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2035

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1992

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1974

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1907

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1880

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1852

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1804

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1525

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1346

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1196

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1194

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1155

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1012

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0999

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0965

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0907

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0858

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0842

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0817

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0794

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0770

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0656

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0615

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0591

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0518

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`)