TreeWAS – [N32.2] Vesical fistula, not elsewhere classified

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
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.686	0.314	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.666	0.334	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.655	0.345	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.626	0.374	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.596	0.403	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.593	0.406	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.591	0.409	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.591	0.409	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.587	0.413	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.564	0.436	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.561	0.439	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.549	0.451	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.514	0.486	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.509	0.491	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.495	0.505	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.484	0.516	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.470	0.530	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.440	0.560	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.400	0.600	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.346	0.654	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.342	0.658	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.339	0.661	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.331	0.668	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.300	0.700	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.291	0.709	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.290	0.710	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.284	0.716	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.278	0.722	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.271	0.729	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.263	0.737	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.246	0.754	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.231	0.769	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.214	0.786	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.209	0.791	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.193	0.807	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.165	0.835	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.146	0.854	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.143	0.857	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.137	0.863	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.131	0.869	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.122	0.878	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.121	0.879	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.110	0.890	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.106	0.894	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.104	0.895	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.104	0.895	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.103	0.897	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.096	0.904	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.084	0.916	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.083	0.917	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.081	0.918	0.001
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.080	0.920	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.080	0.920	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.069	0.931	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.068	0.932	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.059	0.940	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.056	0.944	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.056	0.944	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.051	0.948	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.051	0.949	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.048	0.952	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.046	0.954	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.033	0.967	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.032	0.968	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.030	0.970	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.029	0.971	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.029	0.971	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.028	0.972	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.027	0.973	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.026	0.974	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.026	0.974	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.025	0.975	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.023	0.977	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.023	0.977	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.022	0.978	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.022	0.978	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.020	0.980	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.020	0.980	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.018	0.982	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.016	0.984	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.016	0.984	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.014	0.986	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.014	0.986	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.013	0.986	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.013	0.987	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	0.987	0.013
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.012	0.988	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.012	0.988	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.012	0.988	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.011	0.988	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.011	0.988	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.011	0.989	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.011	0.989	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.010	0.989	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.008	0.992	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.992	0.007
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.007	0.992	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.006	0.993	0.001
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.007	0.993	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.005	0.995	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.005	0.995	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.004	0.996	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.004	0.996	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.004	0.996	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.003	0.996	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	0.996	0.003
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.003	0.997	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.003	0.997	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.003	0.997	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.003	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.003
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.003	0.997	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.003	0.997	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.003	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.003
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.002	0.998	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.002	0.998	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.002	0.998	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.002	0.998	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.002	0.998	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.002	0.998	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.002	0.998	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.002	0.998	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	0.998	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.001
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.001	0.999	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	0.999	0.001
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.001	0.999	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	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
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.001	0.999	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.001	0.999	0.000
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
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
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.001	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.001	0.999	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.000	0.999	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.999	0.001
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.001
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	0.999	0.001
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rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	1.000	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	1.000	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	1.000	0.000
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	1.000	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	1.000	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	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
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	1.000	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	1.000	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	1.000	0.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	1.000	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	1.000	0.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	1.000	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	1.000	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	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
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs1532085 lBF = `-0.10098` Chr`15` : `58,683,366`	0.000	1.000	0.000
rs2043085 lBF = `-0.101826` Chr`15` : `58,680,954`	0.000	1.000	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	1.000	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	1.000	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	1.000	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	1.000	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	1.000	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	1.000	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	1.000	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.000	1.000	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.000	1.000	0.000
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.8219

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7168

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4961

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.8153

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7168

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7141

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7122

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7086

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7041

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7006

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6892

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6467

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6277

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5778

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5547

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5003

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4876

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4379

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4302

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4116

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3827

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3417

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3268

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3190

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2982

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2970

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2957

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2938

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2795

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1880

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1733

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1701

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1690

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1624

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1439

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1228

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1163

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1118

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1082

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1072

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0997

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0943

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0820

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0796

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0778

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0772

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0771

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0760

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0728

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0710

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0707

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0666

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0643

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0638

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0609

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0602

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0601

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0590

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0580

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0576

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0559

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`)