TreeWAS – [K51] Ulcerative colitis

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
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	1.000	0.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.001	0.999
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.001	0.999
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.997	0.003	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.985	0.015	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.908	0.092	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.905	0.095	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.856	0.144	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.835	0.165	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.780	0.220	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.704	0.296	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.671	0.329	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.670	0.330	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.657	0.343	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.572	0.428	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.554	0.446	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.550	0.450	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.514	0.486	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.505	0.495	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.461	0.539	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.461	0.539	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.447	0.553	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.413	0.587	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.407	0.593	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.381	0.619	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.381	0.619	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.349	0.651	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.322	0.678	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.291	0.709	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.260	0.740	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.254	0.746	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.236	0.763	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.229	0.771	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.226	0.774	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.213	0.787	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.202	0.798	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.201	0.799	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.189	0.811	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.165	0.834	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.160	0.839	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.127	0.873	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.104	0.896	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.092	0.908	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.089	0.910	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.085	0.914	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.083	0.917	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.080	0.920	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.079	0.921	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.072	0.928	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.072	0.928	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.069	0.931	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.056	0.944	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	0.953	0.047
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.046	0.953	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.038	0.962	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.038	0.962	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.037	0.963	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.036	0.964	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.033	0.967	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.029	0.971	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.021	0.978	0.001
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.018	0.982	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.018	0.982	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.984	0.016
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.016	0.984	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.014	0.986	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.013	0.987	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.013	0.987	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.012	0.988	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.011	0.989	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.011	0.989	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.011	0.989	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.010	0.990	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.010	0.990	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.009	0.991	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	0.991	0.009
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.008	0.992	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.008	0.992	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.008	0.992	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.008	0.992	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.007	0.992	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.007	0.993	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.007	0.993	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.007	0.993	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.006	0.994	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.006	0.994	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.006	0.994	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.006	0.994	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.006	0.994	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.006	0.994	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.004	0.995	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.004	0.996	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.004	0.996	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.004	0.996	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.004	0.996	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.004	0.996	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.997	0.003
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.003	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.997	0.002
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.003	0.997	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.002	0.998	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.002	0.998	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.998	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.002	0.998	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.002	0.998	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.001	0.999	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.001	0.999	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.001	0.999	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.001
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
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.001
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.999	0.001
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.001
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	0.999	0.001
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	0.999	0.001
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.001
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.001	0.999	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	0.999	0.001
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.001
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.000	1.000	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.000	1.000	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
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rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	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
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	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
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	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
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	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 X0023

log Bayes Factor = 129.003

contains 9 variants

1.0000

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7308

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.7122

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.6765

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

1.0000

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9999

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9999

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9998

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9997

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9996

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9996

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9993

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9991

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9987

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9983

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9980

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9978

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9976

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9975

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9958

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9954

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9951

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9931

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9930

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9913

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9895

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9742

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9667

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9664

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9635

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9602

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9579

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9543

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9528

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9473

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9456

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9423

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9386

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9383

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9326

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9220

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9147

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9110

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9105

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9098

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9098

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9062

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8996

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8957

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8931

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8909

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8672

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8657

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8613

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8584

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8539

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8535

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8533

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8431

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8331

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8323

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8305

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7820

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7629

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7571

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7562

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7498

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7449

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7442

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7439

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7277

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6925

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6723

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6641

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6624

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6346

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6017

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5946

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5642

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5510

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5328

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5251

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5144

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4748

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4681

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4505

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3803

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3763

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3664

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3511

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3364

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3292

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3123

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2831

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2657

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2634

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2617

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2450

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2350

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2149

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2057

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1922

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1680

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1674

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1448

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1425

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1407

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1240

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1230

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1061

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0940

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0924

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0898

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0896

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0850

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0845

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0833

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0721

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0716

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0659

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0588

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0563

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.

Parent term	K50-K52 Noninfective enteritis and colitis
Nested terms	K51.0 Ulcerative (chronic) enterocolitis K51.1 Ulcerative (chronic) ileocolitis K51.2 Ulcerative (chronic) proctitis K51.3 Ulcerative (chronic) rectosigmoiditis K51.4 Pseudopolyposis of colon K51.5 Mucosal proctocolitis K51.8 Other ulcerative colitis K51.9 Ulcerative colitis, unspecified

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`)