TreeWAS – [T81.9] Unspecified complication of 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
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.783	0.217	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.772	0.228	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.764	0.236	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.732	0.268	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.724	0.276	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.722	0.278	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.721	0.279	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.716	0.284	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.713	0.287	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.701	0.299	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.694	0.306	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.690	0.309	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.674	0.326	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.669	0.331	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.667	0.333	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.666	0.334	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.654	0.346	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.625	0.375	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.624	0.376	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.614	0.386	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.610	0.389	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.594	0.406	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.591	0.409	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.587	0.413	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.556	0.443	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.407	0.593	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.403	0.597	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.377	0.623	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.370	0.629	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.364	0.636	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.337	0.663	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.332	0.668	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.321	0.679	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.298	0.702	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.296	0.704	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.287	0.713	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.276	0.724	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.275	0.725	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.213	0.787	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.212	0.788	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.202	0.798	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.190	0.809	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.186	0.814	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.170	0.830	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.168	0.832	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.164	0.836	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.146	0.854	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.125	0.875	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.117	0.883	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.111	0.889	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.109	0.891	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.108	0.891	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.106	0.894	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.103	0.897	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.103	0.897	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.102	0.897	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.102	0.898	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.097	0.903	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.096	0.903	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.085	0.915	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.085	0.915	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.078	0.922	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.064	0.936	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.058	0.942	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.057	0.943	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.055	0.944	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.052	0.948	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.049	0.951	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.049	0.951	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.046	0.954	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.044	0.956	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.042	0.957	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.037	0.963	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.034	0.965	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.034	0.966	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.028	0.972	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.026	0.974	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.023	0.977	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.022	0.977	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.022	0.978	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.015	0.984	0.001
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.014	0.986	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.013	0.986	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.010	0.989	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.009	0.990	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.992	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.007	0.993	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.006	0.994	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.005	0.995	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.005	0.995	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.003	0.996	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.002
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.002	0.998	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.002	0.998	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.998	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.002	0.998	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	0.999	0.001
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
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
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.001	0.999	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.001	0.999	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.000	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.000	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.999	0.001
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.999	0.001
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.001	0.999	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	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
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
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rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	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
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	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
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	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
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	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
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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

0.6835

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5546

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9972

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9839

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9812

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9771

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9760

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9734

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9725

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9597

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9578

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9568

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9557

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9457

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9379

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9321

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9176

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9094

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8815

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8804

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8801

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8546

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8500

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8423

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8357

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8285

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8237

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8197

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8018

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8013

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7989

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7903

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7895

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7894

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7801

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7731

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7661

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7577

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7549

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7491

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7444

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7273

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7166

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7162

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7153

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7085

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6977

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6933

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6922

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6791

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6652

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6340

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6278

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6246

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6206

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6060

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6047

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5972

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5945

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5356

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5151

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5129

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5061

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4959

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4527

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4482

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4473

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4241

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4179

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4125

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3954

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3764

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3336

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3320

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3252

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3239

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3165

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3161

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3121

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2964

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2927

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2664

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2397

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2359

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2248

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2198

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2135

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2031

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1795

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1754

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1702

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1701

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1696

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1681

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1678

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1670

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1663

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1642

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1557

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1549

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1435

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1332

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1302

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1298

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1274

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1258

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1184

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1150

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1121

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1001

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1001

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0986

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0897

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0877

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0877

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0826

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0797

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0793

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0791

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0756

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0727

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0712

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0623

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0606

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0586

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0572

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0539

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0539

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0523

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`)