TreeWAS – [T85.8] Other complications of internal prosthetic devices, implants and grafts, not elsewhere classified

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
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.873	0.127	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.786	0.214	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.762	0.238	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.713	0.287	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.650	0.350	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.646	0.354	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.631	0.369	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.615	0.385	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.608	0.392	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.592	0.408	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.579	0.421	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.557	0.443	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.556	0.444	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.555	0.445	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.525	0.475	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.496	0.503	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.494	0.506	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.492	0.508	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.475	0.525	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.473	0.527	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.466	0.534	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.465	0.535	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.457	0.543	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.456	0.544	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.435	0.565	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.427	0.573	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.422	0.578	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.421	0.579	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.416	0.583	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.412	0.588	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.404	0.596	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.380	0.620	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.374	0.626	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.360	0.640	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.354	0.645	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.353	0.647	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.346	0.654	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.341	0.659	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.327	0.673	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.315	0.685	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.313	0.687	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.302	0.698	0.001
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.301	0.698	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.300	0.700	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.271	0.729	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.264	0.736	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.255	0.745	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.255	0.745	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.249	0.750	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.242	0.758	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.237	0.762	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.236	0.763	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.209	0.791	0.001
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.191	0.809	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.190	0.810	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.188	0.812	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.186	0.814	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.185	0.815	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.168	0.832	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.167	0.833	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.163	0.837	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.161	0.838	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.159	0.841	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.149	0.851	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.147	0.853	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.137	0.863	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.124	0.875	0.001
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.112	0.888	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.106	0.894	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.101	0.898	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.098	0.901	0.001
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.094	0.905	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.091	0.909	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.085	0.914	0.001
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.077	0.923	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.071	0.929	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.071	0.929	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.068	0.932	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.064	0.934	0.002
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.065	0.935	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.062	0.938	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.052	0.948	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.052	0.948	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.047	0.953	0.001
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.047	0.953	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.045	0.955	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.041	0.959	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.033	0.967	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.027	0.973	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.026	0.973	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.026	0.974	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.026	0.974	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.023	0.977	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.015	0.985	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.985	0.015
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.011	0.988	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.010	0.990	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.010	0.990	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.008	0.992	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.993	0.007
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.007	0.993	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.006	0.994	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.005	0.995	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.004	0.996	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.997	0.003
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.003	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.003	0.997	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.002	0.997	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.002	0.998	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.002	0.998	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.001
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.002	0.998	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.002	0.998	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.002	0.998	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.002	0.998	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.998	0.002
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.002	0.998	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.998	0.002
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.998	0.002
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	0.999	0.001
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.001
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.001
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.001	0.999	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.001	0.999	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	0.999	0.001
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	0.999	0.001
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.001	0.999	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.999	0.001
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.001
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.001	0.999	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.001	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.001
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.001	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	0.999	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.001	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
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rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	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
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	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
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	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
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	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
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	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
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	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
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	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
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
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	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
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	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

0.7061

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6242

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9936

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9888

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9880

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9848

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9819

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9814

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9754

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9671

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9594

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9589

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9546

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9521

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9490

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9456

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9315

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9292

Cluster X0056

log Bayes Factor = 15.088

contains 2 variants

0.9214

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9204

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9104

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9083

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9031

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9017

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8964

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8838

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8813

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8792

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8738

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8480

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8376

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8332

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7897

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7847

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7655

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7589

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7464

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7388

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7343

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7192

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7189

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7156

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7147

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7091

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7035

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7019

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6950

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6824

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6771

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6723

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6561

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6524

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6482

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6396

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6284

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6203

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5832

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5831

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5791

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5754

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5387

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5386

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5198

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5150

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4967

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4475

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4470

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4384

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4317

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4307

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4194

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4193

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4143

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4031

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3958

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3762

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3733

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3722

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3636

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3377

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3337

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3302

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3255

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3250

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3154

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3041

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3008

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2954

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2940

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2877

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2820

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2782

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2716

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2567

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2495

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2421

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2397

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2228

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1931

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1758

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1710

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1706

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1640

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1626

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1507

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1434

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1382

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1379

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1351

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1306

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1294

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1294

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1284

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1248

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1236

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1233

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1115

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1111

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1067

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1051

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1039

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0979

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0967

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0940

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0929

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0896

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0879

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0875

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0836

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0835

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0770

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0703

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0672

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0638

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0624

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0620

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0568

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0562

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0545

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0526

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0519

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0510

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)