TreeWAS – [D60] Acquired pure red cell aplasia [erythroblastopenia]

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D60

Acquired pure red cell aplasia [erythroblastopenia]

Parent term	D60-D64 Aplastic and other anaemias
Nested terms	D60.0 Chronic acquired pure red cell aplasia D60.1 Transient acquired pure red cell aplasia D60.8 Other acquired pure red cell aplasias D60.9 Acquired pure red cell aplasia, unspecified

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Variant effects

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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
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.713	0.287	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.696	0.304	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.652	0.348	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.649	0.351	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.636	0.364	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.633	0.367	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.625	0.375	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.595	0.405	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.593	0.407	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.570	0.429	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.560	0.440	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.559	0.440	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.550	0.450	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.541	0.459	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.541	0.459	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.524	0.476	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.524	0.476	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.516	0.484	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	0.485	0.515
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.514	0.486	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	0.502	0.498
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.520	0.480
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.465	0.535	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.463	0.537	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.453	0.547	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.434	0.565	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.427	0.573	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.426	0.574	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.420	0.580	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.419	0.581	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.415	0.584	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.405	0.595	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.389	0.610	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.389	0.611	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.376	0.623	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.373	0.627	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.370	0.630	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.368	0.632	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.366	0.634	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.363	0.637	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.359	0.641	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.352	0.648	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.347	0.653	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.335	0.665	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.328	0.671	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.325	0.675	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.319	0.681	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.316	0.684	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.309	0.691	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.700	0.300
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.290	0.710	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.275	0.725	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.274	0.725	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.268	0.732	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.267	0.732	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.256	0.743	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.246	0.754	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.760	0.240
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.227	0.773	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.214	0.786	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.202	0.798	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.202	0.798	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.201	0.799	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.201	0.799	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.199	0.801	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.194	0.806	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.190	0.809	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.180	0.820	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.172	0.828	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.158	0.842	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.145	0.855	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.138	0.862	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.135	0.865	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.131	0.868	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.123	0.876	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.123	0.877	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.122	0.877	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.122	0.878	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.119	0.880	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.114	0.886	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.102	0.898	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.100	0.899	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.084	0.916	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.079	0.921	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.077	0.923	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.073	0.927	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.065	0.935	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.056	0.944	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.055	0.945	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.051	0.949	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.039	0.961	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.035	0.964	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.033	0.967	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.029	0.971	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.029	0.971	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.017	0.983	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.011	0.989	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.991	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.007	0.992	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.007	0.992	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.004	0.996	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.996	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.997	0.003
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.002	0.998	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.002	0.998	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.998	0.002
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
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
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.001
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.001
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.001	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.001	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.999	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	0.999	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
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rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	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
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	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
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	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
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	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
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
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
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	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
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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
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
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	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
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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

0.6066

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3082

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0509

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8466

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7168

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7168

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7166

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7165

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7165

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7165

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7164

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7163

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7163

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7162

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7160

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7154

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7153

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7151

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7144

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7136

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7134

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7133

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7126

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7119

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7118

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7116

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7097

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7095

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7094

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7089

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7084

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7065

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7057

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7055

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7049

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7048

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7048

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7003

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6998

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6992

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6976

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6958

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6957

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6938

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6937

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6917

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6895

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6891

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6806

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6792

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6789

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6765

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6760

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6752

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6752

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6738

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6728

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6690

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6686

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6669

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6660

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6599

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.6588

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6588

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6505

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6446

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6363

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6294

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6273

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6243

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6227

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6190

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6190

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6177

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6127

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6091

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6064

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6024

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5999

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5982

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5914

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5733

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5661

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5659

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5615

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5523

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5407

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5406

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5397

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5265

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5216

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5196

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5184

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5105

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4995

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4944

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4929

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4915

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4887

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4835

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4819

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4753

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4703

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4680

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4674

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4503

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4494

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4464

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4462

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4358

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4333

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4151

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4054

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3939

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3914

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3907

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3831

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3829

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3819

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3816

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3798

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3781

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3684

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3629

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3530

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3522

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3448

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3366

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3341

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3243

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3163

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3124

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3051

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3044

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3007

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3000

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2874

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2659

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2627

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2527

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2508

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2359

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2344

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2300

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2276

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.2260

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2251

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2233

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2211

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2200

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2118

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2086

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2070

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2037

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1949

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1804

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1662

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1578

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1542

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1528

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1509

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1505

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1491

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1462

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1452

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1428

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1398

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1371

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1357

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1260

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1258

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1243

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1163

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1140

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1135

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1128

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1123

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1093

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1056

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1004

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0957

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0953

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0950

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0950

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0922

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0880

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0865

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0843

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0837

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0824

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0775

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0775

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0752

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0727

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0653

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0650

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0627

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0616

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0599

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0598

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0581

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0562

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0558

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0544

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0541

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0503

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)

Hospitalization Episode Statistics (`HES`)