TreeWAS – [N34.2] Other urethritis

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
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.609	0.391	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.571	0.429	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.513	0.486	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.513	0.486	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.511	0.488	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.511	0.489	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.509	0.491	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.503	0.497	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.501	0.499	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.499	0.501	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.495	0.505	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.491	0.509	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.485	0.514	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.483	0.516	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.482	0.517	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.478	0.522	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.477	0.522	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.475	0.524	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.473	0.527	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.468	0.532	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.467	0.533	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.455	0.544	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.444	0.555	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.439	0.561	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.438	0.562	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.432	0.567	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.423	0.577	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.417	0.583	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.415	0.585	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.412	0.588	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.406	0.594	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.396	0.604	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.382	0.617	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.371	0.629	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.360	0.639	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.358	0.642	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.353	0.646	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.333	0.667	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.322	0.678	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.320	0.680	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.317	0.682	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.307	0.692	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.304	0.696	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.301	0.699	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.296	0.704	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.291	0.709	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.279	0.721	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.272	0.728	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.261	0.739	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.243	0.757	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.238	0.761	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.214	0.786	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.198	0.801	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.195	0.804	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.191	0.809	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.187	0.812	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.186	0.814	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.153	0.846	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.153	0.847	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.151	0.849	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.145	0.855	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.131	0.869	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.124	0.876	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.114	0.886	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.113	0.887	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.108	0.892	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.106	0.894	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.105	0.895	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.095	0.905	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.093	0.906	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.090	0.910	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.090	0.910	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.084	0.915	0.001
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.083	0.917	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.077	0.923	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.073	0.927	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.068	0.932	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.068	0.932	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.064	0.935	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.061	0.939	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.057	0.942	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.048	0.952	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.043	0.957	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.039	0.961	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.039	0.961	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.038	0.962	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.033	0.966	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.029	0.970	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.028	0.972	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.028	0.972	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.027	0.972	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.026	0.973	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.025	0.975	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.023	0.977	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.022	0.977	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.015	0.985	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.015	0.985	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.013	0.986	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.013	0.987	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.012	0.987	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.012	0.988	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.011	0.989	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	0.990	0.010
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.010	0.990	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.010	0.990	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.008	0.992	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.008	0.992	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.007	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.007	0.993	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.006	0.994	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	0.994	0.006
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.005	0.995	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.995	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.996	0.004
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.004	0.996	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.004	0.996	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.004	0.996	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.002	0.996	0.002
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.004	0.996	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.003	0.997	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	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
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.003	0.997	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.003	0.997	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.003	0.997	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	0.997	0.003
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.002	0.997	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	0.998	0.002
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.002	0.998	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.002	0.998	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.002	0.998	0.000
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.002	0.998	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.002	0.998	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.002	0.998	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.002	0.998	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.002	0.998	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.002	0.998	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	0.998	0.002
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.002	0.998	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.000	0.998	0.002
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.000	0.998	0.002
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.002	0.998	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.002	0.998	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.001	0.998	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.000	0.999	0.001
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.001	0.999	0.000
rs7212938 lBF = `5.09178` Chr`17` : `38,122,680`	0.000	0.999	0.001
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	0.999	0.001
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	0.999	0.001
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.001	0.999	0.000
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	0.999	0.001
rs6503525 lBF = `6.47206` Chr`17` : `38,095,174`	0.000	0.999	0.001
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	0.999	0.001
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	0.999	0.001
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	0.999	0.001
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	0.999	0.001
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.001	0.999	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	0.999	0.001
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	0.999	0.001
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	0.999	0.001
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	0.999	0.001
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.001	0.999	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.001	0.999	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.001	0.999	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs9914544 lBF = `-0.0571571` Chr`17` : `18,787,828`	0.001	0.999	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.001	0.999	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	0.999	0.001
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	0.999	0.001
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.001	0.999	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.001	0.999	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.001	0.999	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.000	0.999	0.001
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.001	0.999	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	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
rs4795406 lBF = `6.87863` Chr`17` : `38,100,134`	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
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
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rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	0.999	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	0.999	0.000
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.000	0.999	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.000	0.999	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	0.999	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.000	0.999	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	0.999	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	0.999	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	0.999	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	0.999	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	0.999	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	0.999	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	0.999	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	0.999	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	0.999	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	0.999	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.999	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	0.999	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	0.999	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	0.999	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	0.999	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.000	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs55955238 lBF = `-0.00136183` Chr`17` : `35,270,922`	0.000	0.999	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	0.999	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	0.999	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.999	0.000
rs2003347 lBF = `-0.00956259` Chr`17` : `35,273,345`	0.000	0.999	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	0.999	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	0.999	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	0.999	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	0.999	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	0.999	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	0.999	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	0.999	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	0.999	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.000	0.999	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	0.999	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	0.999	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	0.999	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	0.999	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	0.999	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	0.999	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	0.999	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.000	0.999	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	0.999	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.000	0.999	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	0.999	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.999	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	0.999	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	0.999	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	0.999	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	0.999	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.999	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	0.999	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	0.999	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	0.999	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	0.999	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.999	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	0.999	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	0.999	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	0.999	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	0.999	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	0.999	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	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

0.5140

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3771

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9729

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9683

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9163

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9025

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8815

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8602

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8597

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8535

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8498

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8259

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8134

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7612

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7587

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7455

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7373

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7174

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7146

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7109

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7028

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6982

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6960

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6952

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6945

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6934

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6885

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6878

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6836

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6765

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6724

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6586

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6481

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6479

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6450

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6408

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6378

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6289

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6188

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6167

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6162

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6127

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5871

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5810

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5778

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5765

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5622

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5575

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5566

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5282

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5211

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5139

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5125

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5121

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5106

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5056

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5037

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4989

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4989

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4914

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4880

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4551

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4438

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4358

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4264

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4221

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4198

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4188

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4015

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3936

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3852

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3689

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3129

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2962

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2826

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2752

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2654

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2573

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2504

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2488

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2484

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2441

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2428

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2397

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2378

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2370

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2314

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2182

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2038

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2034

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1899

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1730

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1620

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1385

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1363

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1297

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1072

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1032

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0933

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0924

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0893

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0889

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0811

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0809

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0770

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0746

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0742

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0700

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0629

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0605

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0584

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0576

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0568

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0548

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0525

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0518

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0507

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`)