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
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.847	0.153	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.835	0.165	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.804	0.196	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.782	0.218	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.645	0.355	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.511	0.489	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.433	0.567	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.370	0.630	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.350	0.650	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.336	0.664	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.329	0.671	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.278	0.722	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.277	0.723	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.260	0.740	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.255	0.745	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.254	0.746	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.245	0.755	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.244	0.756	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.233	0.767	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.218	0.782	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.190	0.809	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.127	0.872	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.125	0.875	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.122	0.878	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.111	0.888	0.001
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.094	0.906	0.001
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.087	0.913	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.072	0.927	0.001
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.068	0.932	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.061	0.939	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.060	0.939	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.053	0.946	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.052	0.948	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.050	0.950	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.049	0.950	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.049	0.950	0.001
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.045	0.954	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.044	0.956	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.043	0.957	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.042	0.958	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.041	0.959	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.035	0.965	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.030	0.969	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.024	0.975	0.001
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.024	0.976	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.023	0.976	0.001
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.022	0.977	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.022	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.019	0.980	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.018	0.982	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.014	0.986	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.012	0.988	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.010	0.990	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.992	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.007	0.992	0.001
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.993	0.007
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.007	0.993	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.006	0.994	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.006	0.994	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.006	0.994	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	0.994	0.006
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	0.995	0.005
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.005	0.995	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	0.995	0.005
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.995	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	0.996	0.004
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.004	0.996	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.997	0.003
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.997	0.003
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.997	0.003
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.003	0.997	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	0.997	0.003
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	0.997	0.003
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.003	0.997	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.002	0.997	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.003	0.997	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.998	0.002
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.998	0.002
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.002	0.998	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.998	0.002
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.002	0.998	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.002	0.998	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.998	0.002
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.998	0.002
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.998	0.002
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	0.998	0.002
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.001	0.998	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	0.999	0.001
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.001	0.999	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.999	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.999	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.000	0.999	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.001	0.999	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.001	0.999	0.001
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.000	0.999	0.001
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.001	0.999	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.001	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	0.999	0.001
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.001	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.001	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.001
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.001	0.999	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	0.999	0.001
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.001
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.000	0.999	0.001
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.000	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.001	0.999	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.001	0.999	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.001
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	0.999	0.001
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.000	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
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rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

This table lists the top 491 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`)