TreeWAS – [N31.9] Neuromuscular dysfunction of bladder, unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.846	0.154	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.748	0.252	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.726	0.274	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.723	0.277	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.702	0.298	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.692	0.308	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.589	0.411	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.571	0.429	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.565	0.435	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.559	0.441	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.554	0.446	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.538	0.462	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.534	0.466	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.526	0.474	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.521	0.479	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.519	0.481	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.495	0.505	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.494	0.506	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.455	0.545	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.450	0.550	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.445	0.555	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.426	0.574	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.425	0.575	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.417	0.583	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.382	0.618	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.381	0.619	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.380	0.620	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.378	0.622	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.372	0.628	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.359	0.641	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.357	0.643	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.350	0.650	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.321	0.678	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.319	0.681	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.313	0.687	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.303	0.696	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.299	0.700	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.296	0.704	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.292	0.708	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.289	0.710	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.284	0.716	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.269	0.730	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.257	0.743	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.237	0.763	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.235	0.765	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.232	0.768	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.223	0.777	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.216	0.783	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.194	0.806	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.190	0.810	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.187	0.812	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.185	0.815	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.171	0.829	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.168	0.832	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.168	0.832	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.144	0.856	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.138	0.861	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.136	0.863	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.134	0.866	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.119	0.880	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.118	0.881	0.001
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.114	0.886	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.109	0.891	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.107	0.893	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.101	0.898	0.001
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.099	0.901	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.098	0.902	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.095	0.905	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.089	0.911	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.087	0.913	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.085	0.915	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.080	0.920	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.080	0.920	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.073	0.927	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.069	0.931	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.063	0.937	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.061	0.939	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.059	0.941	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.057	0.943	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.053	0.947	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.053	0.947	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.052	0.948	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.052	0.948	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.039	0.961	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.031	0.969	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.023	0.976	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.023	0.977	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.022	0.978	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.019	0.981	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.019	0.981	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	0.981	0.019
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.017	0.983	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.016	0.983	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.016	0.984	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.015	0.985	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.014	0.986	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
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.012	0.988	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
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	0.990	0.010
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.010	0.990	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.009	0.990	0.001
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.009	0.991	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.009	0.991	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.009	0.991	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.009	0.991	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.008	0.992	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.008	0.992	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	0.992	0.008
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.992	0.008
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	0.994	0.006
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.006	0.994	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	0.994	0.006
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.005	0.995	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.005	0.995	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.995	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.005	0.995	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.004	0.996	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.004	0.996	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.004	0.996	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.004	0.996	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.004	0.996	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.004	0.996	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.004	0.996	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.004	0.996	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	0.997	0.003
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.997	0.003
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.003	0.997	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.003	0.997	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.000	0.997	0.003
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	0.997	0.003
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	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
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	0.997	0.003
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.002	0.997	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.003	0.997	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.002	0.997	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.002	0.998	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.998	0.002
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.002	0.998	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.002	0.998	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	0.998	0.002
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	0.998	0.002
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.002	0.998	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.002	0.998	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.002	0.998	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.002	0.998	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.002	0.998	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.002	0.998	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.002	0.998	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.002	0.998	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.002	0.998	0.000
rs507506 lBF = `0.39092` Chr`17` : `7,118,322`	0.002	0.998	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.998	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	0.998	0.002
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.002	0.998	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.998	0.002
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.998	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.002	0.998	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.001	0.999	0.000
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.001	0.999	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.001	0.999	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.001	0.999	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	0.999	0.001
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.001	0.999	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	0.999	0.001
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.999	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.001	0.999	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.001	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.001	0.999	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	0.999	0.001
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	0.999	0.001
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.999	0.001
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	0.999	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	0.999	0.001
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.001	0.999	0.000
rs5415 lBF = `0.583017` Chr`17` : `7,184,481`	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
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
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
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
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rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs1043515 lBF = `0.0256615` Chr`17` : `36,922,196`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs164009 lBF = `-0.0778174` Chr`17` : `74,283,669`	0.000	1.000	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	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
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	1.000	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	1.000	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	1.000	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	1.000	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	1.000	0.000
rs4794665 lBF = `-0.0725634` Chr`17` : `54,850,329`	0.000	1.000	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	1.000	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs12601558 lBF = `0.0806125` Chr`17` : `80,179,147`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9112

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4688

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9974

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9921

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9883

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9764

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9753

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9638

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9448

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9319

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9313

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9145

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8876

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8282

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7351

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7118

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6420

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6001

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5385

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5349

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5192

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5090

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4982

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4788

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4641

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4487

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4434

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4423

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4158

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3763

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3572

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3520

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3519

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3506

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3266

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3242

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2683

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2652

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2647

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2634

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2626

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2207

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2192

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2156

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2092

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1844

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1760

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1716

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1711

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1545

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1465

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1427

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1259

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1088

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1075

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1030

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1017

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0998

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0995

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0958

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0925

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0906

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0778

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0755

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0743

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0723

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0693

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0651

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0637

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0617

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0589

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0568

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0544

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0529

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`)