TreeWAS – [I44.6] Other and unspecified fascicular block

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
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.742	0.258	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.685	0.314	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.684	0.316	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.650	0.350	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.647	0.352	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.625	0.375	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.613	0.386	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.590	0.410	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.547	0.452	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.540	0.460	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.537	0.463	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.525	0.475	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.519	0.481	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.496	0.504	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.435	0.565	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.432	0.568	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.399	0.601	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.386	0.614	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.379	0.621	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.371	0.629	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.350	0.650	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.349	0.650	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.335	0.665	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.334	0.666	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.332	0.668	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.324	0.675	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.317	0.682	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.275	0.725	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.256	0.744	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.256	0.744	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.242	0.757	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.223	0.777	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.192	0.807	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.164	0.836	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.138	0.862	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.127	0.872	0.001
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.124	0.876	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.117	0.883	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.101	0.898	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.083	0.917	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.070	0.929	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.058	0.942	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.052	0.948	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.051	0.949	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.049	0.951	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.049	0.951	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.048	0.952	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.048	0.952	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`	0.038	0.962	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.034	0.965	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.032	0.967	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.029	0.970	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.027	0.973	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.025	0.974	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.025	0.975	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.977	0.023
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.023	0.977	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.022	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.020	0.980	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.000	0.982	0.018
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.016	0.984	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.015	0.985	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.014	0.986	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.991	0.009
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.008	0.992	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.007	0.993	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.007	0.993	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.006	0.994	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.004	0.995	0.001
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.005	0.995	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.004	0.996	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.004	0.996	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.003	0.996	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.997	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	0.997	0.003
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.003	0.997	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.002	0.998	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.998	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.998	0.002
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.001	0.998	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.998	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	0.999	0.001
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.001	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.001	0.999	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.999	0.001
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.999	0.001
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.999	0.001
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.001	0.999	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.001	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.001
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.000	0.999	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	0.999	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	0.999	0.001
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	0.999	0.001
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.001	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.001
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	0.999	0.001
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	0.999	0.001
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	0.999	0.001
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.001	0.999	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.999	0.001
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.001	0.999	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.001	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	0.999	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	0.999	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
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rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	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
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	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
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	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
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	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
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	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
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5435

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3757

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0550

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9919

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9637

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9530

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9530

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9425

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9252

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9220

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9199

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9182

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8945

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8906

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8772

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8755

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8676

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8656

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8413

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8205

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8141

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8067

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8061

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8029

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8029

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7987

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7968

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7919

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7900

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7863

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7862

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7855

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7825

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7822

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7806

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7783

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7693

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7680

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7649

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7393

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7162

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7159

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7155

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7134

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7080

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7063

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7053

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7031

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6967

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6961

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6934

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6860

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6848

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6743

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6658

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6633

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6621

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6591

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6576

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6451

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6422

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6367

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.6344

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6330

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6245

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6106

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6018

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6000

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5979

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5960

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5563

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5469

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5127

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4931

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4699

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4574

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4553

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4161

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4099

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4045

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3806

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3696

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3680

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3680

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3611

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3586

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3542

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3409

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3397

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3344

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3290

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3252

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3232

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3057

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2934

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2767

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2712

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2660

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2648

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2597

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2588

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2491

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2407

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2358

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2242

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2214

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2069

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2063

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2040

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2006

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1889

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1874

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1874

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1857

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1769

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1753

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1749

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1627

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1608

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1572

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1329

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1303

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1297

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1173

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1164

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1127

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1007

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1006

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0985

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0968

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0821

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0756

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0751

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0727

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0701

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0678

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0540

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0528

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0514

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0506

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`)