TreeWAS – [I42.1] Obstructive hypertrophic cardiomyopathy

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
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.803	0.197	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.682	0.317	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.651	0.348	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.649	0.351	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.575	0.425	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.564	0.436	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.563	0.436	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.499	0.501	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.481	0.519	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.470	0.530	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.458	0.542	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.446	0.554	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.446	0.554	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.436	0.564	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.435	0.564	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.435	0.565	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.426	0.574	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.405	0.595	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.388	0.612	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.387	0.613	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.382	0.617	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.370	0.630	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.366	0.634	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.354	0.646	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.343	0.656	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.343	0.657	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.339	0.661	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.326	0.674	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.313	0.686	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.300	0.699	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.297	0.703	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.240	0.759	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.209	0.790	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.156	0.844	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.127	0.873	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.118	0.882	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.110	0.890	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.099	0.900	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.094	0.906	0.001
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.087	0.913	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.074	0.926	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.073	0.927	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.052	0.948	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.050	0.950	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.049	0.951	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.047	0.953	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.046	0.954	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.045	0.954	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.045	0.955	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.042	0.957	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.042	0.958	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.039	0.961	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.036	0.963	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.033	0.967	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.026	0.973	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.025	0.975	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.020	0.978	0.002
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.021	0.978	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.021	0.979	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.021	0.979	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.982	0.018
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.014	0.986	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.001	0.986	0.014
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.014	0.986	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.013	0.987	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.012	0.988	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.011	0.989	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.009	0.990	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.009	0.991	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.007	0.992	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.993	0.006
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.006	0.994	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.006	0.994	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.005	0.994	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.005	0.995	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.005	0.995	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.004	0.996	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.004	0.996	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.004	0.996	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.003	0.997	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.997	0.003
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.003	0.997	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.003	0.997	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.003	0.997	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.002	0.997	0.001
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.003	0.997	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	0.997	0.002
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.997	0.002
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.002	0.998	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.002	0.998	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.998	0.002
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.001	0.998	0.001
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	0.998	0.002
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.998	0.002
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.998	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.001
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.001	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.001	0.999	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.001	0.999	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	0.999	0.001
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.001	0.999	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	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
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	0.999	0.001
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.001	0.999	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	0.999	0.001
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.001	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.001	0.999	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	0.999	0.001
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	0.999	0.001
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.001	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.001	0.999	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.001	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.001	0.999	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	0.999	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.999	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.999	0.001
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.001	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.999	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.001
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.001	0.999	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	0.999	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.001
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	0.999	0.001
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.001	0.999	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.001
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.001	0.999	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.001	0.999	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.001	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	0.999	0.001
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.999	0.001
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.001	0.999	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	0.999	0.001
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.001
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.001	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.999	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	0.999	0.001
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.999	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.999	0.000
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rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	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
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	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
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9967

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4279

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3582

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2628

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9948

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9893

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9851

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9827

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9826

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9772

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9749

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9738

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9653

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9648

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9635

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9617

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9518

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9493

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9488

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9482

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9443

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9375

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9354

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9353

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9343

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9320

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9296

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9285

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9274

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9251

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9250

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9232

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9139

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9076

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9065

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8997

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8978

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8924

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8899

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8880

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8858

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8856

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8844

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8829

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8815

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8807

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8790

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8773

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8725

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8663

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8645

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8626

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8596

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8504

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8499

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8494

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8461

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8458

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8444

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8436

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.8433

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8363

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8347

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8211

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8178

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8135

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8109

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8102

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8042

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7942

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7918

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7814

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7788

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7748

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7632

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7394

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7392

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7371

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7366

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7335

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7225

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7147

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7145

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7009

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6984

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6953

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6864

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6774

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6700

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6679

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6591

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6559

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6460

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.6338

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6335

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6093

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6076

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6061

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5963

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5779

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5741

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5720

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5693

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5683

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5557

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5555

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5295

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5011

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4973

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4934

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4820

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4746

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4659

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4413

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4369

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4363

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4200

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4166

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.4058

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4033

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3965

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3857

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3845

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3677

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3632

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3554

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3208

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3185

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3051

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2877

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2725

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2577

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2505

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2254

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2234

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1575

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1333

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1275

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1231

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1150

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1113

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1035

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0958

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0715

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0700

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0681

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0641

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0563

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`)