TreeWAS – [T85.6] Mechanical complication of other specified internal prosthetic devices, implants and grafts

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
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.784	0.216	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.784	0.216	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.689	0.311	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.685	0.315	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.676	0.323	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.658	0.342	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.644	0.356	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.623	0.377	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.608	0.391	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.587	0.413	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.572	0.428	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.570	0.430	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.553	0.447	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.545	0.455	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.541	0.459	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.532	0.468	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.524	0.476	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.514	0.486	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.512	0.487	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.494	0.506	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.486	0.514	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.484	0.516	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.474	0.526	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.473	0.527	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.463	0.537	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.462	0.538	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.458	0.542	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.453	0.547	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.447	0.553	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.435	0.565	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.434	0.566	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.424	0.576	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.404	0.596	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.399	0.601	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.380	0.620	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.380	0.620	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.380	0.620	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.351	0.649	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.350	0.649	0.001
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.341	0.659	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.332	0.668	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.332	0.668	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.330	0.669	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.311	0.688	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.284	0.715	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.283	0.717	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.278	0.722	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.277	0.723	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.271	0.729	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.261	0.739	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.252	0.748	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.249	0.750	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.245	0.754	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.224	0.776	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.222	0.778	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.216	0.784	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.214	0.786	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.201	0.799	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.191	0.808	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.167	0.833	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.160	0.839	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.155	0.845	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.136	0.863	0.001
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.137	0.863	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.128	0.872	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.119	0.881	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.118	0.881	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.116	0.883	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.114	0.886	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.113	0.887	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.110	0.890	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.108	0.891	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.102	0.897	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.099	0.901	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.096	0.904	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.091	0.908	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.083	0.917	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.075	0.924	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.075	0.925	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.073	0.927	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.071	0.929	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.071	0.929	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.071	0.929	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.057	0.943	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.052	0.948	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.041	0.959	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.039	0.961	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.037	0.962	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.036	0.964	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.031	0.969	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.023	0.977	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.023	0.977	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.978	0.022
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.016	0.983	0.001
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.016	0.983	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.014	0.986	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.011	0.988	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.010	0.989	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.007	0.993	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.006	0.994	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.006	0.994	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.006	0.994	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.004	0.996	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.003	0.996	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.003	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.997	0.003
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.003	0.997	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.003	0.997	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.002	0.997	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.002	0.997	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.002	0.998	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.002	0.998	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.001
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.002	0.998	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.002	0.998	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.998	0.002
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.002	0.998	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.002	0.998	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.002	0.998	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.002	0.998	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.001	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	0.999	0.001
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.001	0.999	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.999	0.001
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	0.999	0.001
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.001	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.001	0.999	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.001
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.001	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.999	0.001
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.001	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.001	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.001	0.999	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.999	0.001
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	0.999	0.001
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	0.999	0.001
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.999	0.001
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.001	0.999	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
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rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	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
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	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
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	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
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	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
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	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
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	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
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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7826

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6900

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9968

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9964

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9926

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9922

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9900

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9884

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9829

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9782

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9764

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9745

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9634

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9560

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9518

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9474

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9437

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9424

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9420

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9314

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9264

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9249

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9222

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9191

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9186

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9103

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9084

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9044

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9024

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8964

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8886

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8879

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8841

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8798

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8721

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8693

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8663

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8619

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8582

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8553

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8538

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8530

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8479

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8438

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8306

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8197

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8187

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8153

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7960

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7945

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7909

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7907

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7848

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7808

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7765

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7668

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7584

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7509

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7472

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7355

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7335

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7268

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7217

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7201

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7028

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7018

Cluster X0056

log Bayes Factor = 15.088

contains 2 variants

0.6999

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6991

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6967

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6920

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6806

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6696

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6686

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6652

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6626

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6575

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6345

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6213

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6086

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5999

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5980

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5879

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5874

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5711

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5621

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5462

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5375

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5373

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5345

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5181

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5096

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5033

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4807

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4771

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4653

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4523

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4376

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4175

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4172

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4132

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3890

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3860

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3752

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3723

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3709

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3693

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3684

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3670

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3615

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3611

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3606

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3502

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3323

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3302

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3241

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3092

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2977

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2940

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2823

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2601

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2587

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2506

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2494

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2300

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2131

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2123

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2112

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2085

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1926

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1889

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1747

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1718

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1585

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1512

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1499

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1475

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1370

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1340

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1292

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1283

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1266

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1196

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1160

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1142

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1129

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1084

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1029

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0981

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0979

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0893

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0882

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0838

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0826

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0795

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0757

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0717

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0559

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`)