TreeWAS – [N13] Obstructive and reflux uropathy

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
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.914	0.086	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.904	0.096	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.897	0.103	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.894	0.106	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.886	0.114	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.878	0.122	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.872	0.128	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.824	0.176	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.815	0.185	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.766	0.234	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.763	0.237	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.756	0.244	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.745	0.255	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.712	0.288	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.710	0.290	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.699	0.301	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.687	0.313	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.664	0.336	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.648	0.352	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.632	0.368	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.623	0.377	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.622	0.378	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.582	0.418	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.578	0.422	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.570	0.430	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.567	0.433	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.540	0.460	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.539	0.461	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.534	0.466	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.498	0.502	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.490	0.509	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.442	0.558	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.427	0.573	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.425	0.575	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.402	0.598	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.394	0.606	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.388	0.612	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.382	0.617	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.380	0.620	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.379	0.621	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.373	0.627	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.358	0.642	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.321	0.679	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.321	0.679	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.319	0.681	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.286	0.714	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.277	0.723	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.276	0.723	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.274	0.726	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.265	0.735	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.264	0.736	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.263	0.737	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.258	0.742	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.242	0.758	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.239	0.761	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.237	0.763	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.216	0.784	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.210	0.789	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.208	0.791	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.204	0.796	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.201	0.799	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.803	0.197
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.181	0.819	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.173	0.827	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.832	0.168
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.167	0.833	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.155	0.845	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.149	0.851	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.147	0.853	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.143	0.857	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.140	0.860	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.132	0.868	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.129	0.871	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.127	0.873	0.001
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.119	0.881	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.109	0.891	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.102	0.898	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.097	0.903	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.096	0.904	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.095	0.905	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	0.906	0.094
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.087	0.913	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.086	0.913	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	0.916	0.084
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.081	0.919	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.080	0.920	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	0.921	0.079
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.077	0.923	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.074	0.926	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.072	0.927	0.001
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	0.929	0.071
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.069	0.931	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.064	0.936	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.060	0.940	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.058	0.941	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.055	0.944	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.052	0.948	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.049	0.951	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.047	0.953	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.047	0.953	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.039	0.961	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.030	0.970	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.030	0.970	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.029	0.970	0.001
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.029	0.971	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.027	0.973	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.027	0.973	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.024	0.976	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.021	0.978	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.021	0.979	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.021	0.979	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.021	0.979	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.021	0.979	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.020	0.979	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.000	0.980	0.020
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.017	0.982	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.017	0.983	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.016	0.983	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.016	0.984	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.015	0.984	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.013	0.987	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.013	0.987	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.988	0.012
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.011	0.989	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.010	0.990	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.010	0.990	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.009	0.991	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.009	0.991	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.009	0.991	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.992	0.008
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.007	0.993	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.007	0.993	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.995	0.005
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	0.995	0.005
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.005	0.995	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	0.995	0.005
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.004	0.996	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.004	0.996	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	0.996	0.004
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.004	0.996	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.003	0.997	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.003	0.997	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.003	0.997	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	0.997	0.003
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.003	0.997	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.002	0.998	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.998	0.002
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.002	0.998	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.002	0.998	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.002	0.998	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	0.998	0.002
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.002	0.998	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.002	0.998	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.998	0.002
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.002	0.998	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.000	0.998	0.002
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.002	0.998	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.998	0.002
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.002	0.998	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.002	0.998	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	0.998	0.002
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	0.998	0.002
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.001	0.999	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.001	0.999	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.001	0.999	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.001	0.999	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	0.999	0.001
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.001	0.999	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.001	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.001	0.999	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	0.999	0.001
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
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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rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs11653176 lBF = `0.012337` Chr`17` : `59,447,369`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	1.000	0.000
rs17736589 lBF = `-0.0669878` Chr`17` : `76,737,118`	0.000	1.000	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.000	1.000	0.000
rs225212 lBF = `-0.0939959` Chr`17` : `30,896,455`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	1.000	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	1.000	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	1.000	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	1.000	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	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
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs2672886 lBF = `-0.0283686` Chr`17` : `78,781,651`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.000	1.000	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.000	1.000	0.000
rs4788985 lBF = `-0.112155` Chr`17` : `75,313,335`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs523516 lBF = `-0.069035` Chr`17` : `37,331,345`	0.000	1.000	0.000
rs6504950 lBF = `-0.0717123` Chr`17` : `53,056,471`	0.000	1.000	0.000
rs12450239 lBF = `-0.0953541` Chr`17` : `77,449,095`	0.000	1.000	0.000
rs225190 lBF = `-0.108737` Chr`17` : `30,877,658`	0.000	1.000	0.000
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	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

0.6555

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4091

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0825

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

1.0000

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

1.0000

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

1.0000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9999

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9999

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9999

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9999

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9999

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9999

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9998

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9997

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9997

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9996

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9996

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9995

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9995

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.9994

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9992

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9990

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9989

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9989

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9988

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9982

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9981

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9980

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9980

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9978

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9976

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9976

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9975

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9975

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9971

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9969

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9968

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9967

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9961

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9958

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9956

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9953

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9937

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9924

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9920

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9898

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9884

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9872

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9871

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9864

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9824

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9812

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9769

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9737

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9701

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9695

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9694

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9649

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9646

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9603

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9515

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9435

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9408

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9351

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9326

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9201

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9170

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9014

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8956

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8886

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8602

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8597

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8490

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8430

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8261

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8226

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8190

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7934

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7553

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6541

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6316

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6167

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6037

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5782

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5625

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.5478

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5263

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4823

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4542

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4430

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4245

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3837

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3616

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3217

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2714

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2355

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2056

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2031

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1974

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1958

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1878

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1831

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1704

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1434

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0941

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0906

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0664

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0658

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0639

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0608

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0602

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`)