TreeWAS – [N28.1] Cyst of kidney, acquired

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`	0.937	0.063	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.856	0.144	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.836	0.164	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.835	0.165	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.798	0.202	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.672	0.328	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.637	0.363	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.637	0.363	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.630	0.370	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.618	0.382	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.614	0.386	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.606	0.394	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.600	0.400	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.535	0.465	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.510	0.490	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.509	0.491	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.466	0.534	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.458	0.542	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.453	0.547	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.417	0.583	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.414	0.586	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.412	0.588	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.410	0.590	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.404	0.596	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.400	0.600	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.396	0.604	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.385	0.615	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.352	0.648	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.345	0.654	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.345	0.654	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.342	0.658	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.327	0.673	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.325	0.675	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.321	0.679	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.318	0.682	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.313	0.687	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.296	0.704	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.282	0.718	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.276	0.724	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.274	0.726	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.263	0.736	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.257	0.743	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.253	0.746	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.246	0.753	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.239	0.761	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.235	0.765	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.232	0.768	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.230	0.770	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.229	0.771	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.229	0.771	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.218	0.782	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.201	0.799	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.196	0.804	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.187	0.812	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.185	0.815	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.182	0.817	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.175	0.825	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.174	0.826	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.167	0.833	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.160	0.839	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.153	0.847	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.151	0.848	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.150	0.850	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.148	0.852	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.142	0.858	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.141	0.859	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.139	0.861	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.112	0.888	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.108	0.891	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.102	0.897	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.101	0.899	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.098	0.900	0.002
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.098	0.902	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.097	0.903	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.094	0.906	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.092	0.908	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.089	0.909	0.001
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.084	0.916	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.080	0.919	0.001
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.071	0.927	0.001
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.070	0.930	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.062	0.938	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.059	0.941	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.058	0.942	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.057	0.943	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.056	0.944	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.052	0.948	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.039	0.961	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.035	0.965	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	0.967	0.033
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.032	0.968	0.001
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.032	0.968	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.030	0.969	0.001
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.029	0.971	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.027	0.972	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.027	0.973	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.024	0.976	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.021	0.978	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.020	0.979	0.001
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.021	0.979	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.020	0.979	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.017	0.981	0.001
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.014	0.984	0.002
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.015	0.984	0.001
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.015	0.984	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.014	0.986	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	0.987	0.013
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.012	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.989	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.011	0.989	0.001
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.011	0.989	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.011	0.989	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.010	0.989	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	0.990	0.010
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.009	0.991	0.000
rs11653176 lBF = `0.012337` Chr`17` : `59,447,369`	0.009	0.991	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.008	0.992	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.006	0.993	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.006	0.994	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.006	0.994	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.995	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.003	0.995	0.002
rs11868035 lBF = `-0.0214466` Chr`17` : `17,715,101`	0.000	0.995	0.005
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.005	0.995	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	0.996	0.004
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.004	0.996	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.004	0.996	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.004	0.996	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.004	0.996	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.003	0.996	0.001
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.004	0.996	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	0.997	0.003
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	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
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.003	0.997	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	0.997	0.003
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.003	0.997	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.002	0.997	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.003	0.997	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.003	0.997	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.001
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.002	0.998	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	0.998	0.002
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	0.998	0.002
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.002	0.998	0.000
rs17608059 lBF = `-0.105888` Chr`17` : `13,910,549`	0.002	0.998	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.000	0.998	0.002
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.002	0.998	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.001	0.998	0.001
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	0.998	0.002
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.002	0.998	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	0.998	0.002
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.002	0.998	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.002	0.998	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.002	0.998	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.002	0.998	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.002	0.998	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.002	0.998	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.001	0.998	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	0.999	0.001
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	0.999	0.001
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	0.999	0.001
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.001	0.999	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	0.999	0.001
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	0.999	0.001
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.001
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.999	0.001
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.999	0.001
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	0.999	0.001
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.001	0.999	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.001	0.999	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.001	0.999	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.001	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	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
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
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rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	1.000	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs17857135 lBF = `-0.0487206` Chr`17` : `78,262,161`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs523516 lBF = `-0.069035` Chr`17` : `37,331,345`	0.000	1.000	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	1.000	0.000
rs1052536 lBF = `-0.103965` Chr`17` : `33,331,575`	0.000	1.000	0.000
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs11079764 lBF = `-0.067193` Chr`17` : `45,309,693`	0.000	1.000	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.000	1.000	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	1.000	0.000
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	1.000	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	1.000	0.000
rs959260 lBF = `-0.0625843` Chr`17` : `73,369,422`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs6607284 lBF = `-0.0820696` Chr`17` : `36,026,335`	0.000	1.000	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.000	1.000	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	1.000	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	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
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.000	1.000	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	1.000	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.000	1.000	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs2854207 lBF = `0.121574` Chr`17` : `61,947,107`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs11650106 lBF = `0.0426128` Chr`17` : `57,850,251`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	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
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	1.000	0.000
rs17736589 lBF = `-0.0669878` Chr`17` : `76,737,118`	0.000	1.000	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	1.000	0.000
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	1.000	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	1.000	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs8070463 lBF = `0.0889562` Chr`17` : `45,768,836`	0.000	1.000	0.000
rs1641549 lBF = `0.0711876` Chr`17` : `7,574,775`	0.000	1.000	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	1.000	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	1.000	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	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

0.8649

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1036

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9992

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9989

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9984

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9947

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9818

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9689

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9446

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9302

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9166

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8842

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8833

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8540

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8495

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8298

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8215

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8036

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7974

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7960

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6175

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5908

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5807

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5453

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5408

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5303

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4778

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4744

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4321

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4252

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4133

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4056

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3847

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3708

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3143

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2976

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2519

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.2331

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2243

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2181

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2152

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1791

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1600

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1569

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1550

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1534

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1298

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1282

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1123

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1069

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0934

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0931

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0917

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0884

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0863

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0855

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0811

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0756

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0627

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0619

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0616

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0613

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0583

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0579

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0542

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0504

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0503

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`)