TreeWAS – [G25.3] Myoclonus

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
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.536	0.464	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.484	0.515	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.443	0.557	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.439	0.561	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.435	0.565	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.429	0.570	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.426	0.574	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.425	0.575	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.420	0.579	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.396	0.604	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.390	0.610	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.387	0.613	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.382	0.617	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.368	0.632	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.368	0.632	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.364	0.636	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.364	0.636	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.360	0.639	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.359	0.641	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.355	0.645	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.353	0.647	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.352	0.648	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.349	0.651	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.342	0.658	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.341	0.659	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.339	0.661	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.335	0.665	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.333	0.666	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.330	0.670	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.328	0.672	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.328	0.672	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.316	0.684	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.315	0.685	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.311	0.689	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.310	0.690	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.306	0.694	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.288	0.711	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.283	0.717	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.282	0.718	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.278	0.722	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.276	0.724	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.274	0.725	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.274	0.726	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.272	0.727	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.270	0.730	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.260	0.740	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.250	0.750	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.246	0.754	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.245	0.755	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.242	0.757	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.241	0.759	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.241	0.759	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.240	0.760	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.237	0.762	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.234	0.766	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.230	0.770	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.225	0.775	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.224	0.776	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.224	0.776	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.218	0.782	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.216	0.784	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.215	0.785	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.211	0.789	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.208	0.792	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.199	0.801	0.001
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.199	0.801	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.198	0.802	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.197	0.803	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.193	0.806	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.192	0.808	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.186	0.814	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.163	0.836	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.162	0.838	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.150	0.849	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.143	0.857	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.140	0.860	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.138	0.861	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.135	0.865	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.134	0.866	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.092	0.908	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.084	0.916	0.001
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.083	0.916	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.081	0.919	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.070	0.930	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.070	0.930	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.051	0.948	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.049	0.951	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.975	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.022	0.978	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.016	0.983	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.015	0.985	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.013	0.986	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.013	0.987	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.012	0.987	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.012	0.988	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.996	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.003	0.997	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.003	0.997	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.003	0.997	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.003	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.003	0.997	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.003	0.997	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.997	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.002	0.997	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.002	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.002	0.998	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	0.998	0.002
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.002	0.998	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.998	0.002
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.002	0.998	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	0.998	0.002
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.998	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.998	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.001	0.998	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.001	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.001	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.999	0.001
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.001	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.001
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.999	0.001
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.001
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	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
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
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.001	0.999	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.999	0.001
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.001	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	0.999	0.001
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.001	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	0.999	0.001
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.001	0.999	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	0.999	0.001
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.001	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.001
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	0.999	0.001
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.001	0.999	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.001
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	0.999	0.001
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	0.999	0.001
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.001
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.001	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.001
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.999	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	0.999	0.001
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.001	0.999	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.001	0.999	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.001	0.999	0.000
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rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	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
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	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
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
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	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
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	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
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.2355

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1058

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9986

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9773

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9642

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9594

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9585

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9447

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9352

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9339

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9114

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9078

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9072

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9060

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9058

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9043

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8781

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8692

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8663

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8560

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8556

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8430

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8427

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8370

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8364

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8300

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8294

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8255

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8246

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8235

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8163

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8115

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8096

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8087

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8087

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8077

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7825

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7812

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7792

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7761

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7720

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7647

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7637

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7629

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7582

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7428

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7417

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7395

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7390

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7377

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7373

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7365

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7335

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7329

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7323

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7285

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7216

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7197

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7168

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7165

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7142

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7123

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7111

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7024

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7011

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6987

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6935

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6922

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6921

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6882

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6865

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6618

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6575

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6570

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6519

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6512

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6463

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6281

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6178

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6153

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6068

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6066

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6024

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5965

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5882

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5880

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5819

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5797

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5747

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5660

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5650

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5637

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5635

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5631

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5596

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5472

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5452

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5450

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5379

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5374

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5334

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5225

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5196

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4962

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4919

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4885

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4866

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4854

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4822

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4765

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4689

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4635

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4596

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4557

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4509

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4500

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4440

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4389

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4369

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4341

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4303

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4249

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4248

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4152

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4137

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4099

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4095

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4073

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4044

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4004

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3971

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3924

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3847

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3783

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3778

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3730

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3725

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3678

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3631

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3621

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3614

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3573

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3528

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3509

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3504

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3491

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3454

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3344

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3262

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3234

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3228

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3225

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3071

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3061

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3019

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2792

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2730

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2728

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2724

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2626

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2552

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2523

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2432

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2348

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2201

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1984

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1891

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1883

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1845

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1800

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1774

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1668

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1534

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1466

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1353

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1267

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1240

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1204

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1164

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1119

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1012

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0992

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0976

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0899

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0856

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0834

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0788

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0741

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0706

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0697

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0671

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0652

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0623

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0607

Cluster X0136

log Bayes Factor = 105.47

contains 5 variants

0.0592

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0581

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0581

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0564

Cluster X0339

log Bayes Factor = 56.078

contains 2 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`)