TreeWAS – [L89.0] Stage I decubitus ulcer and pressure area

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
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.848	0.152	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.722	0.278	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.717	0.283	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.644	0.356	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.640	0.360	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.630	0.370	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.610	0.390	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.575	0.425	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.530	0.470	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.512	0.488	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.498	0.502	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.494	0.506	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.493	0.507	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.473	0.527	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.470	0.530	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.457	0.543	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.446	0.554	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.411	0.588	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.408	0.591	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.395	0.605	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.372	0.627	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.372	0.628	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.357	0.643	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.352	0.647	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.337	0.663	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.332	0.668	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.329	0.671	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.308	0.692	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.296	0.703	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.296	0.704	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.285	0.714	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.264	0.736	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.257	0.742	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.254	0.746	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.238	0.762	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.238	0.762	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.236	0.764	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.202	0.798	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.201	0.798	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.172	0.827	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.164	0.836	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.162	0.837	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.159	0.841	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.156	0.844	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.156	0.844	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.153	0.846	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.153	0.847	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.153	0.847	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.141	0.859	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.122	0.877	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.120	0.880	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.110	0.890	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.110	0.890	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.110	0.890	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.097	0.903	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.096	0.904	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.095	0.904	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.085	0.915	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.077	0.922	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.075	0.924	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.075	0.924	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.068	0.932	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.060	0.939	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.058	0.942	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.056	0.944	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.050	0.949	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.047	0.952	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.045	0.954	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.040	0.959	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.039	0.961	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.037	0.963	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.032	0.968	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.031	0.969	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.969	0.031
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.030	0.970	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.029	0.970	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.975	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.019	0.980	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.016	0.984	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.016	0.984	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.014	0.986	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.014	0.986	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.009	0.991	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.008	0.992	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	0.993	0.007
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.007	0.993	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.994	0.006
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.006	0.994	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.005	0.994	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.005	0.995	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.004	0.995	0.001
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.004	0.996	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.003	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.996	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.003	0.997	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.003	0.997	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.003	0.997	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.997	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.002	0.998	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.002	0.998	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.002	0.998	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.002	0.998	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.002	0.998	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.998	0.002
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.002	0.998	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.001	0.998	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.998	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.001	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.001
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.999	0.001
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.001
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.999	0.001
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.999	0.001
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.001	0.999	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.999	0.001
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.999	0.001
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.999	0.001
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.999	0.001
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.999	0.001
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	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
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.001
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.001	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.999	0.001
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.001	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.001
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.999	0.001
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.999	0.001
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.999	0.001
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.999	0.001
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	0.999	0.001
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.001	0.999	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.001	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.999	0.001
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.001	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.001	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	0.999	0.001
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.001	0.999	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	0.999	0.001
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	0.999	0.001
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	0.999	0.001
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.001	0.999	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	0.999	0.001
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
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rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	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
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	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
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	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
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	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
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	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
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	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
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	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
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	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
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	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
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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

0.2805

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1085

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9933

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9914

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9914

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9913

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9879

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9860

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9851

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9788

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9766

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9755

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9721

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9696

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9672

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9638

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9619

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9606

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9587

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9556

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9550

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9511

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9388

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9361

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9297

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9294

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9282

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9232

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9230

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9193

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9193

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9143

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9125

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8995

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8992

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8992

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8977

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8955

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8912

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8841

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8827

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8748

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8716

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8673

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8656

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8647

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8646

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8645

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8620

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8605

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8538

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8536

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8522

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8510

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8502

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8476

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8464

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8424

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8360

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8346

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8293

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8245

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8228

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8213

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8194

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8169

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8126

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8051

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8045

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8028

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7962

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7899

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7769

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7736

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7704

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7675

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7663

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7646

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7638

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7529

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7522

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7411

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7399

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7391

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7388

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7263

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7257

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7249

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7046

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6947

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6945

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6924

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6873

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6840

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6772

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6611

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6537

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6511

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6497

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6491

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6468

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6466

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6343

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6317

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6165

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6147

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6004

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5970

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5965

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5927

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5777

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5704

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5661

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5601

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5509

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5421

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5349

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5317

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5091

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5059

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4997

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4945

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4738

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4459

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4396

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4384

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4321

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4169

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3634

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3582

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3485

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3446

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3338

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3299

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3071

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2728

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2721

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2582

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2575

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2515

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2391

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2327

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2253

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2029

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1920

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1869

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1762

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1725

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1685

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1647

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1610

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1476

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1265

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1253

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1149

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1063

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0826

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0798

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0759

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0758

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0743

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0710

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0697

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0689

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0673

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`)