TreeWAS – [D47] Other neoplasms of uncertain or unknown behaviour of lymphoid, haematopoietic and related tissue

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
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	1.000	0.000	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.000	1.000
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	1.000	0.000	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	1.000	0.000	0.000
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	1.000	0.000	0.000
rs2736098 lBF = `34.4547` Chr`5` : `1,294,086`	1.000	0.000	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.999	0.001	0.000
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.008	0.992
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.989	0.011	0.000
rs31489 lBF = `53.5032` Chr`5` : `1,342,714`	0.000	0.011	0.989
rs31490 lBF = `60.3515` Chr`5` : `1,344,458`	0.000	0.013	0.987
rs421284 lBF = `60.9669` Chr`5` : `1,325,590`	0.000	0.014	0.986
rs401681 lBF = `60.4564` Chr`5` : `1,322,087`	0.000	0.022	0.978
rs4635969 lBF = `16.8431` Chr`5` : `1,308,552`	0.000	0.058	0.942
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.060	0.940
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.922	0.078	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.915	0.085	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.903	0.097	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.865	0.135	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.853	0.147	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.836	0.164	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.819	0.181	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.802	0.197	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.799	0.201	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.796	0.204	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.788	0.212	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.781	0.219	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.779	0.221	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.776	0.224	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.774	0.226	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.769	0.231	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.768	0.232	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.768	0.232	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.762	0.238	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.761	0.239	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.760	0.240	0.000
rs402710 lBF = `32.4629` Chr`5` : `1,320,722`	0.000	0.251	0.749
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.743	0.257	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.742	0.258	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.736	0.264	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.732	0.268	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.732	0.268	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.719	0.281	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.718	0.282	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.717	0.283	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.713	0.287	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.711	0.289	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.711	0.289	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.711	0.289	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.705	0.295	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.704	0.296	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.701	0.299	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.691	0.309	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.690	0.310	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.689	0.310	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.689	0.311	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.687	0.312	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.687	0.313	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.685	0.315	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.685	0.315	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.684	0.315	0.000
rs10070303 lBF = `2.46087` Chr`5` : `177,840,382`	0.684	0.316	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.682	0.318	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.677	0.323	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.674	0.326	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.670	0.330	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.667	0.333	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.666	0.333	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.666	0.334	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.664	0.335	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.664	0.336	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.664	0.336	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.663	0.337	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.663	0.337	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.660	0.340	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.654	0.346	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.653	0.347	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.650	0.350	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.649	0.351	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.648	0.352	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.646	0.354	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.645	0.354	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.644	0.355	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.641	0.359	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.634	0.366	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.629	0.371	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.627	0.373	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.624	0.376	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.623	0.377	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.623	0.377	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.622	0.378	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.622	0.378	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.619	0.381	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.619	0.381	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.618	0.382	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.616	0.383	0.000
rs16886181 lBF = `28.4213` Chr`5` : `56,029,243`	0.615	0.385	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.614	0.386	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.610	0.389	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.609	0.391	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.608	0.392	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.607	0.393	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.606	0.394	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.603	0.396	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.602	0.398	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.601	0.398	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.601	0.399	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.595	0.405	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.593	0.407	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.590	0.410	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.589	0.411	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.588	0.412	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.587	0.413	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.587	0.413	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.583	0.417	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.579	0.421	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.578	0.422	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.578	0.422	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.578	0.422	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.574	0.426	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.574	0.426	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.573	0.427	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.572	0.428	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.568	0.432	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.566	0.434	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.564	0.436	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.560	0.440	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.557	0.442	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.556	0.444	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.554	0.446	0.000
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.553	0.447	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.552	0.448	0.000
rs16886165 lBF = `27.661` Chr`5` : `56,023,083`	0.552	0.448	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.551	0.449	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.550	0.450	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.549	0.451	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.548	0.452	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.548	0.452	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.548	0.452	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.543	0.457	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.540	0.460	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.539	0.461	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.539	0.461	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.537	0.462	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.537	0.462	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.535	0.465	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.534	0.466	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.529	0.471	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.528	0.472	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.526	0.474	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.523	0.477	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.519	0.481	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.519	0.481	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.519	0.481	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.517	0.483	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.517	0.483	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.516	0.484	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.512	0.488	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.511	0.489	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.511	0.489	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.510	0.490	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.510	0.490	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.504	0.496	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.496	0.504	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.495	0.505	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.493	0.507	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.492	0.508	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.491	0.509	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.489	0.511	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.488	0.512	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.487	0.512	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.487	0.513	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.487	0.513	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.480	0.520	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.479	0.521	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.475	0.525	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.474	0.526	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.474	0.526	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.473	0.527	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.466	0.534	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.464	0.536	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.463	0.536	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.457	0.543	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.456	0.543	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.455	0.545	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.454	0.546	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.452	0.548	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.446	0.554	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.433	0.567	0.000
rs78686102 lBF = `9.9163` Chr`5` : `56,152,795`	0.432	0.568	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.423	0.576	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.418	0.582	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.416	0.584	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.401	0.598	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.401	0.599	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.399	0.600	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.384	0.615	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.380	0.619	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.378	0.622	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.375	0.624	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.367	0.632	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.365	0.635	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.343	0.656	0.001
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rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.002	0.996	0.002
rs78975256 lBF = `0.00291702` Chr`5` : `120,216,037`	0.003	0.997	0.000
rs6555855 lBF = `0.0647676` Chr`5` : `168,749,737`	0.000	0.997	0.003
rs2962508 lBF = `0.00203471` Chr`5` : `145,538,515`	0.003	0.997	0.000
rs7379133 lBF = `0.534615` Chr`5` : `2,149,210`	0.003	0.997	0.000
rs12658240 lBF = `0.249502` Chr`5` : `81,173,265`	0.003	0.997	0.000
rs2963826 lBF = `0.0569461` Chr`5` : `59,096,923`	0.003	0.997	0.000
rs10041935 lBF = `-0.00052582` Chr`5` : `57,214,817`	0.003	0.997	0.000
rs11950562 lBF = `7.00079` Chr`5` : `131,652,529`	0.000	0.997	0.003
rs1493383 lBF = `-0.0735592` Chr`5` : `152,991,398`	0.001	0.997	0.001
rs17622208 lBF = `8.49137` Chr`5` : `131,717,050`	0.000	0.997	0.003
rs4868304 lBF = `-0.0350907` Chr`5` : `173,131,457`	0.003	0.997	0.000
rs34145453 lBF = `14.1199` Chr`5` : `127,347,013`	0.000	0.997	0.003
rs6893858 lBF = `-0.00268112` Chr`5` : `142,080,085`	0.003	0.997	0.000
rs2277027 lBF = `-0.00850401` Chr`5` : `156,932,376`	0.003	0.997	0.000
rs10058074 lBF = `6.82637` Chr`5` : `131,686,146`	0.000	0.997	0.003
rs13173682 lBF = `0.00584216` Chr`5` : `92,487,543`	0.000	0.997	0.003
rs10491334 lBF = `-0.0853817` Chr`5` : `110,772,404`	0.002	0.997	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.002	0.998	0.000
rs209348 lBF = `-0.0567788` Chr`5` : `161,508,728`	0.000	0.998	0.002
rs7704641 lBF = `-0.0828155` Chr`5` : `5,260,683`	0.000	0.998	0.002
rs9313296 lBF = `0.0323376` Chr`5` : `165,377,699`	0.002	0.998	0.000
rs646506 lBF = `8.10133` Chr`5` : `134,458,908`	0.000	0.998	0.002
rs193541 lBF = `0.176879` Chr`5` : `122,253,304`	0.002	0.998	0.000
rs28669119 lBF = `0.0730755` Chr`5` : `88,204,853`	0.002	0.998	0.000
rs141568462 lBF = `0.00176213` Chr`5` : `88,474,865`	0.002	0.998	0.000
rs138206701 lBF = `0.0461341` Chr`5` : `80,406,566`	0.002	0.998	0.000
rs17155315 lBF = `0.00284331` Chr`5` : `102,759,658`	0.002	0.998	0.000
rs832534 lBF = `8.97154` Chr`5` : `56,213,672`	0.002	0.998	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.002	0.998	0.000
rs1633735 lBF = `-0.0922909` Chr`5` : `8,543,190`	0.002	0.998	0.000
rs6893782 lBF = `0.0482834` Chr`5` : `131,739,433`	0.000	0.998	0.002
rs4705938 lBF = `7.1472` Chr`5` : `131,694,077`	0.000	0.998	0.002
rs2405522 lBF = `0.0449168` Chr`5` : `131,741,696`	0.000	0.998	0.002
rs77460585 lBF = `3.72567` Chr`5` : `101,123,995`	0.002	0.998	0.000
rs16894446 lBF = `0.250047` Chr`5` : `65,137,461`	0.000	0.998	0.002
rs2910124 lBF = `0.0474589` Chr`5` : `177,808,675`	0.002	0.998	0.000
rs10053502 lBF = `0.180691` Chr`5` : `39,979,172`	0.002	0.998	0.000
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.002	0.998	0.000
rs80337801 lBF = `0.00130764` Chr`5` : `73,654,998`	0.002	0.998	0.000
rs1864982 lBF = `-0.0266742` Chr`5` : `146,320,823`	0.002	0.998	0.000
rs889312 lBF = `12.1583` Chr`5` : `56,031,884`	0.002	0.998	0.000
rs4705952 lBF = `-0.00912047` Chr`5` : `131,839,618`	0.000	0.998	0.002
rs606854 lBF = `0.00043378` Chr`5` : `134,572,229`	0.000	0.998	0.002
rs4563609 lBF = `3.3272` Chr`5` : `157,917,275`	0.000	0.998	0.002
rs6897106 lBF = `-0.0978063` Chr`5` : `110,769,788`	0.000	0.998	0.002
rs1003136 lBF = `14.948` Chr`5` : `127,347,815`	0.000	0.998	0.002
rs6596075 lBF = `0.118513` Chr`5` : `131,742,228`	0.000	0.998	0.002
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs111346824 lBF = `-0.020317` Chr`5` : `105,745,616`	0.002	0.998	0.000
rs4957796 lBF = `0.125647` Chr`5` : `108,402,140`	0.002	0.998	0.000
rs10475598 lBF = `0.0646181` Chr`5` : `173,648,438`	0.002	0.998	0.000
rs7732320 lBF = `0.21159` Chr`5` : `80,719,125`	0.002	0.998	0.000
rs526896 lBF = `-0.0829178` Chr`5` : `134,356,705`	0.002	0.998	0.000
rs11959975 lBF = `0.00074545` Chr`5` : `9,902,829`	0.001	0.998	0.000
rs17599026 lBF = `-0.0287275` Chr`5` : `137,763,798`	0.002	0.998	0.000
rs4705962 lBF = `0.42757` Chr`5` : `132,028,858`	0.002	0.998	0.000
rs6885224 lBF = `-0.0218099` Chr`5` : `11,169,945`	0.002	0.998	0.000
rs537930 lBF = `-0.0902132` Chr`5` : `134,348,703`	0.002	0.998	0.000
rs186127414 lBF = `-0.00147716` Chr`5` : `151,181,386`	0.001	0.998	0.000
rs116454070 lBF = `9.0186` Chr`5` : `101,837,362`	0.001	0.998	0.000
rs9293513 lBF = `0.0145875` Chr`5` : `88,633,784`	0.001	0.998	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.001	0.998	0.000
rs186147679 lBF = `0.00723702` Chr`5` : `93,709,122`	0.001	0.998	0.000
rs59920395 lBF = `0.00344072` Chr`5` : `3,650,343`	0.001	0.998	0.000
rs6556301 lBF = `-0.0722448` Chr`5` : `176,527,577`	0.000	0.998	0.002
rs16879308 lBF = `-0.00237044` Chr`5` : `51,236,326`	0.001	0.999	0.000
rs1432723 lBF = `-0.0362885` Chr`5` : `155,302,582`	0.000	0.999	0.001
rs9285640 lBF = `0.00076912` Chr`5` : `149,142,067`	0.001	0.999	0.000
rs4958351 lBF = `0.00051698` Chr`5` : `153,170,374`	0.000	0.999	0.001
rs31198 lBF = `-0.0883666` Chr`5` : `134,372,685`	0.001	0.999	0.000
rs7711337 lBF = `0.00031988` Chr`5` : `162,083,518`	0.001	0.999	0.000
rs10474352 lBF = `-0.0496574` Chr`5` : `90,732,225`	0.001	0.999	0.000
rs506500 lBF = `-0.0830373` Chr`5` : `78,414,337`	0.001	0.999	0.000
rs78592102 lBF = `0.0224705` Chr`5` : `120,779,308`	0.001	0.999	0.000
rs185898158 lBF = `0.00080905` Chr`5` : `60,042,497`	0.001	0.999	0.000
rs13168670 lBF = `-0.030806` Chr`5` : `140,146,899`	0.000	0.999	0.001
rs1546498 lBF = `0.00045432` Chr`5` : `126,032,964`	0.001	0.999	0.000
rs558133 lBF = `-0.0809772` Chr`5` : `78,425,188`	0.001	0.999	0.000
rs262741 lBF = `-0.0637828` Chr`5` : `165,132,974`	0.000	0.999	0.001
rs6888304 lBF = `-0.093796` Chr`5` : `31,020,521`	0.000	0.999	0.001
rs1050152 lBF = `8.11355` Chr`5` : `131,676,320`	0.000	0.999	0.001
rs12659622 lBF = `0.298408` Chr`5` : `15,618,181`	0.000	0.999	0.001
rs35757618 lBF = `0.0291763` Chr`5` : `128,523,885`	0.001	0.999	0.000
rs138833221 lBF = `0.0100462` Chr`5` : `93,696,299`	0.001	0.999	0.000
rs142034933 lBF = `0.00615336` Chr`5` : `114,242,491`	0.001	0.999	0.000
rs56399423 lBF = `7.85737` Chr`5` : `131,672,657`	0.000	0.999	0.001
rs12515891 lBF = `6.44113` Chr`5` : `74,317,380`	0.001	0.999	0.000
rs78392994 lBF = `0.0460488` Chr`5` : `108,288,903`	0.001	0.999	0.000
rs7718928 lBF = `0.00059472` Chr`5` : `161,836,885`	0.001	0.999	0.000
rs7719624 lBF = `-0.080063` Chr`5` : `135,377,566`	0.000	0.999	0.001
rs35658696 lBF = `12.0059` Chr`5` : `102,338,811`	0.001	0.999	0.000
rs7714584 lBF = `0.0239452` Chr`5` : `150,270,420`	0.000	0.999	0.001
rs142324060 lBF = `0.0191395` Chr`5` : `95,425,757`	0.001	0.999	0.000
rs13168506 lBF = `-0.0789109` Chr`5` : `135,396,452`	0.000	0.999	0.001
rs1862626 lBF = `11.1061` Chr`5` : `56,032,940`	0.000	0.999	0.001
rs17690965 lBF = `0.289719` Chr`5` : `132,030,667`	0.001	0.999	0.000
rs6453417 lBF = `-0.0864514` Chr`5` : `78,110,532`	0.001	0.999	0.000
rs13187289 lBF = `0.0151496` Chr`5` : `133,849,177`	0.000	0.999	0.001

This table lists the top 500 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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.9784

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2093

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1372

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.1088

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.9999

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9998

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9997

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9995

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9994

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9989

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9985

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9985

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9985

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9984

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9984

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9982

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9979

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9979

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9977

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9976

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9972

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9969

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9969

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9965

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9958

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9955

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9949

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9949

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9948

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9945

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9940

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9918

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9907

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9896

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9892

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9889

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9870

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9856

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9855

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9842

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9829

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.9826

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9811

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9801

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9789

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9776

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9773

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9773

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9771

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9759

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9736

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9734

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9724

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9707

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9701

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9640

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9595

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9572

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9565

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9560

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9556

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9549

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9539

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9532

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9456

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9454

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9438

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9420

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9382

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9378

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9377

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9375

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9362

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9344

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9336

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9323

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9304

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9266

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9228

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9225

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9218

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9210

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9205

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9202

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9189

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9168

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9161

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9118

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9116

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9080

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9062

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9017

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9016

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8999

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8988

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8978

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8961

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.8941

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8941

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8940

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8915

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8874

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8854

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8795

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8793

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8791

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8783

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8753

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8725

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8708

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8620

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8618

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8568

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8505

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8476

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8460

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8347

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8278

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8206

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8192

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8178

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8110

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8075

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7950

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7866

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7742

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7648

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7515

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7440

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7402

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7348

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7345

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7297

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7288

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7147

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7140

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7108

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7058

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7046

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7001

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6992

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6961

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6863

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6862

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6766

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6693

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6692

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6605

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6582

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6461

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6353

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6321

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6241

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6177

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6149

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5968

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5912

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5863

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5801

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5591

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5465

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5396

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5249

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5106

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4878

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4640

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4598

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4596

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4510

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4482

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4371

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4340

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4272

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4201

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4050

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3914

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3905

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3862

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3401

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3322

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3167

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3121

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2990

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2918

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2835

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2756

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2625

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2593

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2358

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2315

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2286

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1773

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1721

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1719

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1669

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1544

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1498

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1435

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1278

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1211

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1192

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1157

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1110

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1062

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0984

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0896

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0649

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0544

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.0527

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`)