TreeWAS – [G55.1] Nerve root and plexus compressions in intervertebral disk disorders

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
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.890	0.110	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.768	0.232	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.727	0.273	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.709	0.291	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.705	0.295	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.669	0.331	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.666	0.334	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.639	0.361	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.635	0.365	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.570	0.430	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.562	0.438	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.555	0.445	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.554	0.446	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.516	0.484	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.498	0.502	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.492	0.508	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.491	0.509	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.461	0.539	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.457	0.543	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.387	0.613	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.378	0.622	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.363	0.637	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.360	0.640	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.360	0.640	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.350	0.650	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.338	0.662	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.311	0.689	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.303	0.697	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.298	0.702	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.289	0.711	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.283	0.717	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.274	0.726	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.271	0.729	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.256	0.744	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.255	0.745	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.248	0.752	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.247	0.753	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.235	0.765	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.230	0.770	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.213	0.787	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.208	0.792	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.208	0.792	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.197	0.803	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.193	0.807	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.190	0.810	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.189	0.811	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.184	0.816	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.184	0.816	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.172	0.828	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.160	0.840	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.158	0.842	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.157	0.843	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.157	0.843	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.152	0.848	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.148	0.852	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.144	0.856	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.140	0.860	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.139	0.861	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.135	0.865	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.133	0.867	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.128	0.872	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.124	0.876	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.117	0.883	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.116	0.884	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.115	0.885	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.111	0.889	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.111	0.889	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.104	0.896	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.103	0.897	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.099	0.901	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.089	0.911	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.088	0.912	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.088	0.912	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.081	0.918	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.076	0.924	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.076	0.924	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.076	0.924	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.074	0.925	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.071	0.929	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.066	0.933	0.001
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.066	0.934	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.063	0.936	0.001
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.057	0.943	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.057	0.943	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.054	0.946	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.054	0.946	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.054	0.946	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.054	0.946	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.051	0.948	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.049	0.951	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.049	0.951	0.001
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.047	0.952	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.048	0.952	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.048	0.952	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.044	0.955	0.001
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.044	0.956	0.001
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.042	0.957	0.001
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.042	0.958	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.041	0.959	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.039	0.961	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.035	0.965	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.030	0.970	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.030	0.970	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.029	0.970	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.029	0.971	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.027	0.973	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.027	0.973	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.026	0.974	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.026	0.974	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.025	0.975	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.025	0.975	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.025	0.975	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.025	0.975	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.024	0.976	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.024	0.976	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.022	0.977	0.001
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.022	0.977	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.021	0.978	0.002
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.022	0.978	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.022	0.978	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.021	0.978	0.001
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.020	0.980	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.020	0.980	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.019	0.981	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.018	0.982	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.015	0.984	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.013	0.986	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.013	0.987	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.012	0.988	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.011	0.989	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.010	0.990	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.010	0.990	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.009	0.991	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.009	0.991	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.009	0.991	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.009	0.991	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	0.991	0.009
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.991	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.008	0.992	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.992	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.005	0.992	0.003
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.007	0.992	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.007	0.993	0.000
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.006	0.994	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.003	0.995	0.002
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	0.995	0.005
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.005	0.995	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.004	0.996	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.004	0.996	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.004	0.996	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.003	0.997	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.997	0.003
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.002	0.997	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	0.998	0.002
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.002
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.998	0.001
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.998	0.002
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.998	0.002
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.002	0.998	0.000
rs6504950 lBF = `-0.0717123` Chr`17` : `53,056,471`	0.002	0.998	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	0.998	0.002
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	0.998	0.002
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.001	0.999	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.001	0.999	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.001	0.999	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.001	0.999	0.000
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.001	0.999	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.000	0.999	0.001
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.001	0.999	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	0.999	0.001
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
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
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
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rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs3786094 lBF = `-0.0438178` Chr`17` : `9,875,205`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	1.000	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.000	1.000	0.000
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.000	1.000	0.000
rs3785859 lBF = `-0.087359` Chr`17` : `59,379,738`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.000	1.000	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	1.000	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	1.000	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	1.000	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.000	1.000	0.000
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.000	1.000	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs712046 lBF = `-0.0691899` Chr`17` : `34,358,297`	0.000	1.000	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	1.000	0.000
rs1401796 lBF = `-0.0840115` Chr`17` : `54,839,759`	0.000	1.000	0.000
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	1.000	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	1.000	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	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
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	1.000	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	1.000	0.000
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7299

Cluster X0331

log Bayes Factor = 5.0262

contains 1 variants

0.1358

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

1.0000

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9998

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9989

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9985

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9968

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9937

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9919

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9792

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9743

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9269

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8931

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7852

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6840

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6410

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6347

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6330

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6285

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6251

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5717

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5313

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.5193

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4809

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4500

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3458

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2475

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2136

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1788

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1723

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1374

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1244

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1021

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1019

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0869

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0715

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0681

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0674

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`)