TreeWAS – [Z45.3] Adjustment and management of implanted hearing device

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
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.687	0.312	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.641	0.359	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.632	0.368	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.581	0.419	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.579	0.421	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.578	0.422	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.572	0.428	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.559	0.441	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.554	0.446	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.546	0.454	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.526	0.473	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.484	0.516	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.473	0.527	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.452	0.548	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.445	0.555	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.440	0.560	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.395	0.605	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.374	0.626	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.340	0.660	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.338	0.662	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.328	0.672	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.317	0.682	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.282	0.718	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.256	0.744	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.254	0.746	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.238	0.762	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.234	0.765	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.232	0.768	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.197	0.803	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.188	0.812	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.187	0.813	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.172	0.828	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.171	0.829	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.145	0.855	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.136	0.864	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.089	0.910	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.084	0.916	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.076	0.924	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.076	0.924	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.071	0.929	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.054	0.946	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.051	0.949	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.046	0.954	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.032	0.968	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.031	0.969	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.029	0.970	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.027	0.972	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.027	0.973	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.025	0.975	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.024	0.976	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.021	0.979	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.015	0.985	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.009	0.990	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.008	0.992	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.008	0.992	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.007	0.993	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.007	0.993	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.007	0.993	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.007	0.993	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.007	0.993	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.005	0.995	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.004	0.995	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.004	0.995	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.004	0.996	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.004	0.996	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	0.996	0.004
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	0.996	0.004
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.003	0.996	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.003	0.997	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.003	0.997	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	0.997	0.003
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.003	0.997	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.003	0.997	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.002	0.998	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.002	0.998	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.998	0.002
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.998	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.001
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.001
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.001
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.000	0.999	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.001
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	1.000	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	1.000	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	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
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	1.000	0.000
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rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	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
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	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
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	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
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	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
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	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
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	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
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	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
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	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

0.6668

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4880

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8807

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8457

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8393

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8211

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7625

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7443

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7168

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7168

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7167

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7167

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7165

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7163

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7162

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7160

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7159

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7120

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7119

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7077

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7073

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7064

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7061

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7051

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7045

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7035

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7033

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7009

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6992

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6980

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6964

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6960

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6951

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6927

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6906

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6805

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6788

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6754

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6706

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6690

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6672

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6667

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6603

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6596

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6555

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6552

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6526

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6523

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6520

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6372

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6371

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6212

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6199

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6059

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6039

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5932

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5809

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5806

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5722

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5487

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5355

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5353

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5244

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4957

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4779

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4638

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4597

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4346

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4291

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4125

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4115

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4096

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3861

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3687

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3500

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3350

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3226

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2900

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2889

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2881

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2738

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2671

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2390

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2273

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2116

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1873

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1816

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1751

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1691

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1687

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1627

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1547

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1532

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1525

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1487

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1445

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1344

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1325

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1193

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1163

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1156

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1102

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1075

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1074

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1065

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1059

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1025

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0997

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0873

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0838

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0786

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0761

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0747

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0731

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0703

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0700

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0696

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0692

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0664

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0634

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0631

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0598

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0586

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0563

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0529

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0521

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`)