TreeWAS – [D37.4] Colon

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
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.772	0.228	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.769	0.231	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.599	0.401	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.578	0.422	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.555	0.445	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.552	0.447	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.536	0.464	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.530	0.470	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.519	0.480	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.500	0.500	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.494	0.506	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.477	0.523	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.473	0.527	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.468	0.532	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.464	0.536	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.464	0.536	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.452	0.548	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.449	0.551	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.447	0.552	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.445	0.554	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.441	0.559	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.440	0.560	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.434	0.566	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.432	0.568	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.417	0.583	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.414	0.586	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.398	0.602	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.396	0.604	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.383	0.617	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.374	0.626	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.371	0.628	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.351	0.649	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.349	0.651	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.330	0.670	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.312	0.688	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.291	0.709	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.290	0.710	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.248	0.752	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.238	0.762	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.235	0.765	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.196	0.804	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.193	0.807	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.186	0.814	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.174	0.825	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.170	0.829	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.161	0.839	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.143	0.856	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.143	0.857	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.115	0.885	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.114	0.886	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.112	0.888	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.109	0.890	0.001
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.103	0.896	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.099	0.901	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.089	0.910	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.088	0.912	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.085	0.915	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.085	0.915	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.084	0.916	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.081	0.919	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.079	0.920	0.001
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.075	0.924	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.072	0.927	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.070	0.929	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.069	0.930	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.065	0.934	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.062	0.938	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.058	0.942	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.054	0.945	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.049	0.951	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.046	0.953	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.042	0.958	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.041	0.959	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.036	0.964	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.033	0.967	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.030	0.970	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.029	0.971	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.974	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.023	0.977	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.017	0.982	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.012	0.988	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.011	0.988	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.010	0.990	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.007	0.992	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.007	0.993	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.006	0.994	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.005	0.994	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.005	0.995	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.004	0.996	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.003	0.997	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.002	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.997	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.002	0.997	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.002	0.998	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.998	0.002
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	0.998	0.002
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.002	0.998	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	0.998	0.002
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.001	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	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
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.001	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.001	0.999	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.001	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.001	0.999	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.001	0.999	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.001	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.001	0.999	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.001	0.999	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.001	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.001
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.001
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.001	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.001
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	0.999	0.001
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.001	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	0.999	0.001
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.001	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
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rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	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
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	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
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	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
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	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
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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 X0302

log Bayes Factor = 176.192

contains 4 variants

0.1755

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.9985

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9937

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9803

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9721

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9629

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9544

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9494

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9341

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9297

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9239

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9199

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9171

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9024

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8927

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8882

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8710

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8695

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8636

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8617

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8514

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8512

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8470

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8364

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8191

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8175

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8087

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8085

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8070

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8020

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8000

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7946

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7694

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7691

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7688

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7497

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7119

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7016

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6919

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6812

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6772

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6692

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6684

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6648

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6646

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6645

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6644

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6604

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6573

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6349

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6257

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6196

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6192

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5958

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5935

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5926

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5871

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5840

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5441

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5393

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5369

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5322

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5297

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5259

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5250

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5218

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5204

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5203

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5199

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5079

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5032

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4960

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4949

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4923

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4885

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4836

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4825

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4768

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4765

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4750

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4628

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4571

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4517

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4490

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4465

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4437

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4328

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4277

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4195

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4192

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4162

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4115

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4111

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4070

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4004

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3950

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3940

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3794

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3754

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3751

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3684

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3681

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3674

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3462

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3443

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3293

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3282

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3176

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3048

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3005

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2960

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2906

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2896

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2877

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2761

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2722

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2701

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2637

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2515

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2458

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2213

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2129

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2124

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2102

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2057

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1992

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1948

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1895

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1724

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1717

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1701

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1591

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1537

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1521

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1501

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1497

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1473

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1444

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.1420

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1394

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1364

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1282

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1246

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1196

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1072

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1068

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1039

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1022

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0919

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0886

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0816

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0779

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0774

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0774

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0689

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0572

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0540

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0534

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0519

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0510

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`)