TreeWAS – [K08.0] Exfoliation of teeth due to systemic causes

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
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.641	0.359	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.639	0.361	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.636	0.364	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.624	0.375	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.578	0.422	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.565	0.434	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.565	0.435	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.544	0.456	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.518	0.482	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.485	0.515	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.467	0.533	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.462	0.538	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.445	0.555	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.444	0.555	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.436	0.564	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.400	0.600	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.385	0.615	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.351	0.649	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.339	0.661	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.283	0.717	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.281	0.719	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.269	0.731	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.253	0.747	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.242	0.758	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.218	0.782	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.206	0.793	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.187	0.813	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.184	0.816	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.152	0.848	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.150	0.850	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.146	0.854	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.114	0.886	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.101	0.898	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.093	0.907	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.090	0.909	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.086	0.914	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.081	0.918	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.080	0.920	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.074	0.926	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.060	0.940	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.049	0.951	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.045	0.955	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.031	0.969	0.001
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.031	0.969	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.030	0.970	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.028	0.972	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.027	0.973	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.024	0.976	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.012	0.980	0.008
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.018	0.982	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.013	0.987	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.012	0.988	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.988	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.010	0.990	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.010	0.990	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.009	0.991	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.007	0.992	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.007	0.993	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.993	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.007	0.993	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.007	0.993	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.007	0.993	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.006	0.993	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.006	0.993	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.006	0.994	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.006	0.994	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.006	0.994	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.003	0.994	0.002
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.005	0.995	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.005	0.995	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.004	0.996	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.004	0.996	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.004	0.996	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.004	0.996	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.004	0.996	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.004	0.996	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.004	0.996	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.003	0.996	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.003	0.996	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.003	0.997	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.997	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.002	0.998	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.002	0.998	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.998	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.001	0.998	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	0.999	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.999	0.001
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
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
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
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.999	0.001
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.001	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.001
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.001	0.999	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.000	0.999	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.000	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.999	0.001
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	0.999	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.001
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	0.999	0.001
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.001	0.999	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	0.999	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	0.999	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	0.999	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	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
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	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
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rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	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
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	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
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
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
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
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	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
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
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
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	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
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	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
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	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
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
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
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
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7167

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7165

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7160

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7123

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7123

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7121

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7120

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7108

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7093

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7076

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7067

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7051

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7028

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6977

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6975

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6966

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6955

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6953

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6951

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6950

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6936

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6923

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6875

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6867

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6804

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6766

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6698

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6657

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6594

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6485

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6482

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6462

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6442

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6389

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6374

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6357

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6244

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6075

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6058

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6050

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5972

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5957

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5898

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5826

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5799

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5760

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5718

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5639

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5632

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5628

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5602

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5597

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5487

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5374

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5293

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5241

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5174

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5106

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5091

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5050

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5045

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5012

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4983

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4930

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4887

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4802

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4771

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4767

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4757

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4754

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4713

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4701

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4637

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4618

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4585

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4576

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4555

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4472

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4442

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4373

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4298

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4143

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4136

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4049

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4012

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3772

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3712

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3711

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3700

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3694

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3658

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3454

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3367

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3148

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3038

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2846

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2753

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2737

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2625

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2543

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2518

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2493

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2480

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2434

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2266

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2186

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2139

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2034

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1935

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1785

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1673

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1624

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1594

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1535

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1501

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1497

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1354

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1290

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1227

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1150

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1084

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1074

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1049

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1016

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0958

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0943

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0872

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0861

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0794

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0515

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`)