TreeWAS – [D60-D64] Aplastic and other anaemias

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
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.995	0.005	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.971	0.029	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.910	0.090	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.905	0.095	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.887	0.113	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.882	0.118	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.871	0.129	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.829	0.171	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.827	0.173	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.796	0.204	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	0.215	0.785
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.781	0.219	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.780	0.220	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.767	0.233	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.755	0.245	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.755	0.245	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.731	0.269	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.731	0.269	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	0.273	0.727
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.719	0.280	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.716	0.284	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.298	0.702
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.649	0.351	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.646	0.354	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.632	0.368	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.606	0.394	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.595	0.405	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.594	0.406	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.586	0.414	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.584	0.416	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.579	0.421	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.565	0.435	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.543	0.457	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.542	0.458	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.525	0.475	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.520	0.480	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.516	0.484	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.513	0.487	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.511	0.489	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.506	0.494	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.501	0.499	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.491	0.509	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.484	0.516	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.468	0.532	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.458	0.542	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.453	0.546	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.445	0.555	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.440	0.560	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.431	0.569	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.571	0.429
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.405	0.595	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.384	0.616	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.383	0.617	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.373	0.627	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.373	0.627	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.358	0.642	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.656	0.344
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.343	0.657	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.316	0.684	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.298	0.702	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.281	0.719	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.281	0.719	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.280	0.720	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.280	0.720	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.277	0.723	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.271	0.729	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.265	0.734	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.251	0.749	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.239	0.761	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.220	0.780	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.202	0.798	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.192	0.808	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.188	0.812	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.183	0.817	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.172	0.828	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.171	0.829	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.171	0.829	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.170	0.830	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.166	0.833	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.159	0.841	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.141	0.858	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.140	0.860	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.116	0.883	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.110	0.890	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.107	0.893	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.101	0.899	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.090	0.910	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.078	0.922	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.076	0.923	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.071	0.929	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.055	0.945	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.050	0.950	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.045	0.954	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.040	0.960	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.040	0.960	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.023	0.977	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.015	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.011	0.988	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.010	0.990	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.010	0.990	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.005	0.995	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.995	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.996	0.004
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	0.998	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
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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.001	0.999	0.000
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
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
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
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.001
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	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
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.001	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	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
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	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
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
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
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	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
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	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
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
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
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
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rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
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
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
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	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
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	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
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	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
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
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	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
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	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
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
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
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
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	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
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	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
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
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.8461

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4297

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0709

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9998

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9998

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9998

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9998

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9995

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9995

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9995

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9994

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9993

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9991

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9991

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9990

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9987

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9979

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9978

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9975

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9966

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9953

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9951

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9949

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9939

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9930

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9928

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9926

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9899

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9897

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9895

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9888

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9881

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9854

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9843

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9841

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9833

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9831

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9831

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9768

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9761

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9753

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9730

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9719

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9705

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9703

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9677

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9676

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9648

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9617

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9612

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9558

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9493

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9474

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9469

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9437

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9429

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9418

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9418

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9398

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9385

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9332

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9325

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9302

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9290

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9204

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9189

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9073

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8991

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8876

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8779

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8749

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8708

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8686

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8634

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8634

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8616

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8547

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8496

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8459

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8402

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8367

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8343

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8249

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7996

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7896

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7893

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7832

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7703

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7541

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7540

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7527

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7343

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7276

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7247

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7231

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7120

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6966

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6895

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6874

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6855

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6817

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6743

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6721

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6630

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6559

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6527

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6519

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6280

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6268

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6226

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6223

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6078

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6043

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5789

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5654

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5493

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5459

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5449

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5343

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5341

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5326

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5322

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5297

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5273

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5137

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5061

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4924

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4911

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4808

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4695

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4659

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4523

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4410

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4357

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4255

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4246

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4193

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4183

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4007

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3708

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3664

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3523

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3496

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3289

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3268

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3206

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3174

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.3151

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3138

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3113

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3084

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3067

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2953

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2909

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2886

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2840

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2717

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2515

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2317

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2200

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2149

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2130

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2103

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.2101

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2098

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2077

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2038

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1990

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1948

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1911

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1892

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1755

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1753

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1732

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1621

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1589

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1581

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1571

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1565

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1524

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1399

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1337

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1333

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1328

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1324

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1323

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1284

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1226

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1204

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1174

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1165

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1147

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1110

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1080

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1079

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1012

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0909

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0905

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0873

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0858

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0834

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0832

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0809

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0782

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0777

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0757

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0673

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0657

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0654

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0654

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0592

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0580

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0573

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0537

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.

Parent term	Chapter III Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
Nested terms	D62 Acute posthaemorrhagic anaemia D60 Acquired pure red cell aplasia [erythroblastopenia] D61 Other aplastic anaemias D63 Anaemia in chronic diseases classified elsewhere D64 Other anaemias

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`)