TreeWAS – [Y83] Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of the procedure

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
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.969	0.031	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.934	0.066	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.919	0.081	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.884	0.116	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.841	0.159	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.825	0.175	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.790	0.210	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.779	0.221	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.773	0.227	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.754	0.246	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.738	0.262	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.683	0.317	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.676	0.324	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.643	0.357	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.600	0.400	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.595	0.405	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.547	0.453	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.525	0.475	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.520	0.480	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.516	0.484	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.445	0.555	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.383	0.617	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.373	0.627	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.364	0.636	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.327	0.673	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.321	0.679	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.307	0.693	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.306	0.694	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.272	0.728	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.268	0.732	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.264	0.735	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.263	0.737	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.259	0.741	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.259	0.741	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.224	0.776	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.207	0.793	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.202	0.798	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.179	0.821	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.172	0.828	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.172	0.828	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.170	0.830	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.168	0.832	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.165	0.835	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.151	0.848	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.140	0.860	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.136	0.864	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.135	0.865	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.127	0.873	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.126	0.874	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.111	0.889	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.098	0.901	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.094	0.906	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.093	0.907	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.092	0.908	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.092	0.908	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.086	0.913	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.083	0.917	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.079	0.921	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.074	0.926	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.072	0.928	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.070	0.930	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.070	0.930	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.067	0.933	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.061	0.937	0.002
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.060	0.940	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.053	0.947	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.051	0.949	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.046	0.954	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.040	0.960	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.034	0.966	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.033	0.967	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.029	0.970	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.027	0.973	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.024	0.976	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.023	0.977	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.021	0.979	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.020	0.980	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.019	0.981	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.014	0.986	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.010	0.990	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.009	0.991	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.008	0.992	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.008	0.992	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.006	0.994	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.005	0.995	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.005	0.995	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.005	0.995	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.005	0.995	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.005	0.995	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.002	0.996	0.002
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.004	0.996	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.997	0.003
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.003	0.997	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.998	0.002
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	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
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.001	0.999	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.001	0.999	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	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
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	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
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
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rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	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
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	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
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	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
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	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
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	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
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	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
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	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
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	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
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	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
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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

0.9563

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2291

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0605

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9998

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9998

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9997

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9997

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9994

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9989

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9982

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9980

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9963

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9960

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9947

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9940

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9918

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9904

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9875

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9854

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9774

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9753

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9711

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9700

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9667

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9527

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9519

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9482

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9439

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9362

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9336

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9306

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9282

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9144

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8959

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8843

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8788

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7908

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7357

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6896

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6712

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6219

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5286

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5205

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5183

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4567

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4303

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4300

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4295

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3448

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3351

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3304

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3213

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2746

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2465

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2439

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2320

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2216

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2152

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2120

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2042

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1974

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1867

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1818

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1767

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1759

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1752

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1604

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1574

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1522

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1407

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1218

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1013

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0870

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0803

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0775

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0756

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0716

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0608

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0562

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0538

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0525

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`)