TreeWAS – [N30.2] Other chronic cystitis

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
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.845	0.155	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.827	0.173	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.739	0.261	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.680	0.320	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.678	0.322	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.656	0.344	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.649	0.351	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.616	0.384	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.580	0.420	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.528	0.472	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.509	0.491	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.504	0.496	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.454	0.546	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.446	0.554	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.427	0.573	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.414	0.586	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.409	0.591	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.390	0.610	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.388	0.612	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.373	0.627	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.345	0.655	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.330	0.670	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.310	0.690	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.300	0.700	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.294	0.706	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.291	0.709	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.285	0.715	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.277	0.723	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.274	0.725	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.275	0.725	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.264	0.736	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.256	0.744	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.242	0.758	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.236	0.763	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.233	0.767	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.224	0.775	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.215	0.785	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.214	0.785	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.209	0.790	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.208	0.792	0.001
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.204	0.795	0.001
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.201	0.798	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.199	0.801	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.187	0.813	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.172	0.828	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.136	0.864	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.135	0.865	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.135	0.865	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.124	0.876	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.122	0.878	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.111	0.888	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.093	0.907	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.079	0.921	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.075	0.925	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.074	0.926	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.074	0.926	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.073	0.927	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.069	0.930	0.001
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.067	0.933	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.067	0.933	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.065	0.935	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.058	0.942	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.056	0.944	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.055	0.945	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.052	0.947	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.047	0.953	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.038	0.962	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.036	0.964	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.036	0.964	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.035	0.965	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.034	0.966	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.033	0.967	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.030	0.970	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.029	0.971	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.029	0.971	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.027	0.973	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.025	0.975	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.025	0.975	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.022	0.977	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.020	0.980	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.020	0.980	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.019	0.981	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.019	0.981	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.017	0.983	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.016	0.984	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.016	0.984	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.015	0.985	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.014	0.986	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.013	0.986	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.013	0.987	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.012	0.987	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.012	0.987	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.012	0.988	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.012	0.988	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.012	0.988	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.012	0.988	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	0.988	0.012
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.010	0.989	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.010	0.990	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.008	0.992	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.008	0.992	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.007	0.992	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.007
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.007	0.993	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.007	0.993	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.006	0.994	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.006	0.994	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.006	0.994	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.006	0.994	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.006	0.994	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	0.994	0.006
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.006	0.994	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.004	0.995	0.001
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.995	0.005
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.995	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.004	0.996	0.001
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	0.996	0.004
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.004	0.996	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.003	0.996	0.001
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.004	0.996	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.003
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	0.996	0.004
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.003	0.997	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.000	0.997	0.003
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.003	0.997	0.001
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.003	0.997	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.003	0.997	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	0.997	0.003
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.003	0.997	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.003	0.997	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.997	0.003
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.997	0.002
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.998	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.998	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.002	0.998	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.998	0.002
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.002	0.998	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	0.998	0.002
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	0.998	0.002
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.002	0.998	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.002	0.998	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	0.998	0.002
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	0.998	0.002
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	0.998	0.002
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.002	0.998	0.000
rs7182874 lBF = `0.0441147` Chr`15` : `101,865,472`	0.002	0.998	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.998	0.002
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.998	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.001	0.998	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.998	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.001	0.998	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.000	0.999	0.001
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.999	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	0.999	0.001
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	0.999	0.001
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	0.999	0.001
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.001	0.999	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	0.999	0.001
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	0.999	0.001
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.001	0.999	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.001	0.999	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.000	0.999	0.001
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.001	0.999	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.001	0.999	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.000	0.999	0.001
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
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rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs1356410 lBF = `0.147653` Chr`15` : `42,434,837`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	1.000	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	1.000	0.000
rs1823874 lBF = `-0.0604683` Chr`15` : `100,357,435`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs8023822 lBF = `7.96514` Chr`15` : `78,945,040`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	1.000	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs3204689 lBF = `0.115405` Chr`15` : `58,246,802`	0.000	1.000	0.000
rs7181230 lBF = `0.0270022` Chr`15` : `40,360,741`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	1.000	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.000	1.000	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	1.000	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	1.000	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.000	1.000	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	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

0.4437

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2338

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9908

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9860

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9784

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9767

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9654

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9550

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9287

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9207

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8867

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8838

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8736

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8720

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8538

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8102

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6732

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6729

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6639

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6477

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6033

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5829

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5106

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4975

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4610

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4505

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4417

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4215

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4030

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3817

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3787

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3782

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3734

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3088

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2752

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2669

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2374

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1916

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1887

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1799

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1760

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1670

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1515

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1452

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1412

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1390

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1331

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1323

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1173

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1096

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1070

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1035

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1028

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0973

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0968

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0944

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0836

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0796

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0694

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0641

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0637

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0618

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0611

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0513

Cluster X0325

log Bayes Factor = 58.453

contains 4 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`)