TreeWAS – [I49.1] Atrial premature depolarisation

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
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.652	0.348	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.613	0.387	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.567	0.433	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.566	0.434	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.563	0.437	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.559	0.441	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.542	0.458	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.521	0.479	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.500	0.500	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.496	0.504	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.495	0.505	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.491	0.509	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.475	0.525	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.468	0.532	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.448	0.552	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.440	0.559	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.429	0.570	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.416	0.584	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.410	0.590	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.388	0.612	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.374	0.626	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.370	0.630	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.367	0.633	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.359	0.641	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.346	0.654	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.311	0.689	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.300	0.700	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.275	0.725	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.249	0.751	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.228	0.772	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.226	0.774	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.201	0.799	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.189	0.811	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.140	0.860	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.127	0.873	0.001
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.104	0.896	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.094	0.906	0.001
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.092	0.907	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.075	0.925	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.072	0.928	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.067	0.933	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.064	0.936	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.058	0.942	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.052	0.948	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.050	0.949	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.050	0.950	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.046	0.954	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.046	0.954	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.043	0.957	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.037	0.963	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.036	0.963	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.033	0.967	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.033	0.967	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.032	0.967	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.028	0.972	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.025	0.975	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.023	0.976	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.022	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.019	0.981	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.017	0.983	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.015	0.985	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.986	0.014
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.013	0.987	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.012	0.987	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.012	0.988	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.001	0.990	0.009
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.008	0.992	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.992	0.008
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.007	0.993	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.005	0.994	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.005	0.995	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.004	0.996	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.004	0.996	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.003	0.996	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.003	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.003	0.997	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.997	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.997	0.003
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.003	0.997	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.002	0.998	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.001	0.998	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.998	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.998	0.002
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.001	0.999	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.001	0.999	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	0.999	0.001
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.999	0.001
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.001	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	0.999	0.001
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	0.999	0.001
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	0.999	0.001
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	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
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.001
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.999	0.001
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	0.999	0.001
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.001	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.001	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.001
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.001
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.999	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	0.999	0.001
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.999	0.001
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.001	0.999	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	0.999	0.001
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	0.999	0.001
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.999	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.001	0.999	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.001	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.001	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.001	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.001	0.999	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.001	0.999	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.001	0.999	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.001	0.999	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.999	0.001
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.999	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.999	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.999	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.999	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	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
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
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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
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	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
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	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
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	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
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	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
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	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
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	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
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	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
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	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

0.6358

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4610

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0520

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9844

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9740

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9733

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9661

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9636

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9608

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9578

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9541

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9344

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9309

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9288

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9118

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9117

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8967

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8950

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8934

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8762

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8759

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8674

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8644

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8565

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8561

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8463

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8358

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8122

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8049

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7927

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7820

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7792

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7766

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7724

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7720

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7629

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7592

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7586

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7570

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7467

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7212

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7158

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7155

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7090

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7079

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7014

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7007

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6920

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6897

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6655

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6598

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6585

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6511

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6495

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6460

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6370

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6314

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6311

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6215

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.6047

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6015

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5791

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5788

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5653

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5627

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5522

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5486

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5479

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5409

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5272

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5225

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5003

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4983

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4911

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4650

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4549

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4533

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4394

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4380

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4353

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4089

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3978

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3783

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3617

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3586

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3576

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3424

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3416

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3320

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3315

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3203

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3104

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3025

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2959

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2936

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2929

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2928

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2838

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2799

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2743

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2695

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2665

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2631

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2588

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2167

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2080

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1941

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1935

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1690

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1688

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1634

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1474

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1425

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1400

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1383

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1363

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1164

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1076

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1071

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0999

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0943

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0922

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0900

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0763

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0756

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0625

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0606

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0596

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0544

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0504

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`)