TreeWAS – [L51] Erythema multiforme

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

L51

Erythema multiforme

Parent term	L50-L54 Urticaria and erythema
Nested terms	L51.0 Nonbullous erythema multiforme L51.1 Bullous erythema multiforme L51.2 Toxic epidermal necrolysis [Lyell] L51.8 Other erythema multiforme L51.9 Erythema multiforme, 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
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.767	0.233	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.665	0.335	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.627	0.373	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.626	0.374	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.625	0.375	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.608	0.391	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.608	0.392	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.595	0.404	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.589	0.411	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.561	0.439	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.560	0.439	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.559	0.440	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.559	0.440	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.559	0.441	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.556	0.444	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.554	0.446	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.550	0.450	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.546	0.454	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.544	0.456	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.541	0.459	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.538	0.462	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.535	0.465	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.531	0.469	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.526	0.474	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.525	0.475	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.523	0.477	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.522	0.477	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.518	0.482	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.517	0.483	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.515	0.485	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.513	0.487	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.511	0.489	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.506	0.493	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.503	0.497	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.500	0.500	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.499	0.501	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.497	0.502	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.495	0.504	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.493	0.507	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.493	0.507	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.491	0.508	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.489	0.511	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.489	0.511	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.484	0.515	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.484	0.516	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.479	0.521	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.478	0.522	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.477	0.522	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.476	0.524	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.475	0.524	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.474	0.526	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.473	0.527	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.471	0.529	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.468	0.532	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.462	0.538	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.461	0.539	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.461	0.539	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.458	0.542	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.456	0.543	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.456	0.544	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.456	0.544	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.446	0.553	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.445	0.555	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.441	0.559	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.440	0.560	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.437	0.562	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.437	0.562	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.437	0.563	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.435	0.565	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.432	0.567	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.431	0.568	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.427	0.573	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.425	0.575	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.424	0.576	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.423	0.577	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.417	0.582	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.416	0.584	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.415	0.585	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.414	0.586	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.414	0.586	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.413	0.587	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.411	0.589	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.411	0.589	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.410	0.590	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.405	0.595	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.404	0.595	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.400	0.599	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.400	0.600	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.392	0.608	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.387	0.613	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.386	0.614	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.385	0.614	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.385	0.615	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.380	0.620	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.379	0.621	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.379	0.621	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.372	0.627	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.372	0.628	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.370	0.630	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.364	0.636	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.359	0.641	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.354	0.645	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.353	0.647	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.648	0.351
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.351	0.649	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.344	0.655	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.336	0.663	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.332	0.668	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.332	0.668	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.329	0.671	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.327	0.673	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.323	0.677	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.322	0.678	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.322	0.678	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.321	0.679	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.310	0.690	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.302	0.698	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.299	0.701	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.290	0.710	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.288	0.712	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.287	0.713	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.287	0.713	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.286	0.714	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.285	0.715	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.281	0.719	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.279	0.721	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.274	0.725	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.260	0.740	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.255	0.745	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.255	0.745	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.254	0.745	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.254	0.746	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.254	0.746	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.253	0.746	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.245	0.755	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.244	0.755	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.242	0.757	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.234	0.766	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.231	0.769	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.230	0.770	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.229	0.771	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.219	0.781	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.216	0.784	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.209	0.791	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.207	0.793	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.198	0.802	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.198	0.802	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.196	0.804	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.193	0.806	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.193	0.807	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.192	0.807	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.191	0.809	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.190	0.810	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.189	0.811	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.180	0.820	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.177	0.823	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.176	0.824	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.168	0.831	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.165	0.835	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.162	0.837	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.154	0.846	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.154	0.846	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.152	0.847	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.151	0.848	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.150	0.850	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.146	0.854	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.145	0.855	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.140	0.859	0.002
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.140	0.860	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.137	0.863	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.134	0.866	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.131	0.868	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.130	0.870	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.128	0.871	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.125	0.875	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.121	0.879	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.115	0.885	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.114	0.886	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.114	0.886	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.113	0.887	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.105	0.895	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.102	0.898	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.099	0.900	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.099	0.901	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.097	0.902	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.094	0.905	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.093	0.907	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.092	0.908	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.091	0.909	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.087	0.912	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.085	0.915	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.080	0.919	0.001
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.080	0.920	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.075	0.925	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.074	0.926	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.071	0.929	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.068	0.932	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.065	0.934	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.065	0.935	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.936	0.064
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rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.001	0.999	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.001	0.999	0.000
rs7830933 lBF = `0.0906278` Chr`8` : `23,603,324`	0.000	0.999	0.001
rs517811 lBF = `-0.0666965` Chr`8` : `102,944,863`	0.001	0.999	0.000
rs7010805 lBF = `-0.0756655` Chr`8` : `144,976,720`	0.000	0.999	0.001
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.001	0.999	0.000
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.001	0.999	0.000
rs2954793 lBF = `-0.0391283` Chr`8` : `29,106,059`	0.001	0.999	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.001	0.999	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.000	0.999	0.001
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	0.999	0.001
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	0.999	0.001
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.001	0.999	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.000	0.999	0.001
rs9298506 lBF = `0.291683` Chr`8` : `55,437,524`	0.000	0.999	0.001
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.000	0.999	0.001
rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.001	0.999	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.001
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	0.999	0.001
rs10105606 lBF = `2.71178` Chr`8` : `19,827,848`	0.001	0.999	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.000	0.999	0.001
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	0.999	0.001
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	0.999	0.001
rs4471028 lBF = `-0.0382274` Chr`8` : `75,294,975`	0.000	0.999	0.001
rs1579834 lBF = `-0.0389399` Chr`8` : `81,813,346`	0.000	0.999	0.001
rs6992848 lBF = `-0.0418827` Chr`8` : `141,150,169`	0.001	0.999	0.000
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.000	0.999	0.001
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.000	0.999	0.001
rs10955961 lBF = `-0.100956` Chr`8` : `121,218,601`	0.001	0.999	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.000	0.999	0.001
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.001	0.999	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	0.999	0.001
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.001	0.999	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	0.999	0.001
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	0.999	0.001
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.001	0.999	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	0.999	0.001
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.000	0.999	0.001
rs2736340 lBF = `0.122135` Chr`8` : `11,343,973`	0.000	0.999	0.001
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.000	0.999	0.001
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.000	0.999	0.001
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.001	0.999	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.000	0.999	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.000	0.999	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.001	0.999	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	0.999	0.000
rs4875857 lBF = `-0.0289557` Chr`8` : `2,819,809`	0.001	0.999	0.000
rs1963982 lBF = `-0.0393427` Chr`8` : `73,106,916`	0.000	0.999	0.001
rs13253111 lBF = `-0.0521439` Chr`8` : `28,061,974`	0.000	0.999	0.001
rs2033732 lBF = `-0.0604344` Chr`8` : `85,079,709`	0.000	0.999	0.001
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.001	0.999	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	0.999	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.001	0.999	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.001	0.999	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.001	0.999	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	0.999	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	0.999	0.000
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	0.000	0.999	0.001
rs17669535 lBF = `-0.0535021` Chr`8` : `1,244,224`	0.001	0.999	0.000
rs7817714 lBF = `-0.077801` Chr`8` : `103,048,810`	0.001	0.999	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.001	0.999	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.001	0.999	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	0.999	0.000
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	0.999	0.001
rs10092658 lBF = `-0.0463732` Chr`8` : `130,980,472`	0.000	0.999	0.000
rs2466067 lBF = `-0.0475776` Chr`8` : `32,437,994`	0.000	0.999	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	0.999	0.001
rs328 lBF = `4.32431` Chr`8` : `19,819,724`	0.001	0.999	0.000
rs10086908 lBF = `3.53715` Chr`8` : `128,011,937`	0.000	0.999	0.001
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.001	0.999	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.001	0.999	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.001	0.999	0.000
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.000	0.999	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.000	0.999	0.001
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.001	0.999	0.000
rs4831837 lBF = `-0.0168165` Chr`8` : `12,711,863`	0.000	0.999	0.001
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	0.999	0.000
rs10875469 lBF = `-0.0805386` Chr`8` : `142,333,425`	0.001	0.999	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.001	0.999	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.000	0.999	0.001
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs2197089 lBF = `0.0117238` Chr`8` : `19,826,373`	0.001	0.999	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.001	0.999	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	0.999	0.000
rs4243849 lBF = `-0.0656984` Chr`8` : `136,713,137`	0.000	0.999	0.001
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.001	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.000	0.999	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.000	0.999	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	0.999	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	0.999	0.000
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.000	0.999	0.000
rs16902328 lBF = `0.0227453` Chr`8` : `128,713,873`	0.000	0.999	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	0.999	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	0.999	0.000
rs56077246 lBF = `0.0868122` Chr`8` : `144,983,493`	0.000	0.999	0.001
rs1364705 lBF = `0.0243758` Chr`8` : `120,224,806`	0.000	0.999	0.001
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	0.999	0.000

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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2698

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2434

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0665

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9898

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9830

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9819

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9752

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9726

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9691

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9691

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9643

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9583

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9432

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9326

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9319

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9254

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9236

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9187

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9174

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8877

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8868

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8851

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8828

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8653

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8537

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8465

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8370

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8331

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8237

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8215

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8177

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8129

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8127

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8047

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8027

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7987

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7984

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7964

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7950

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7902

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7902

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7827

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7800

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7710

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7628

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7614

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7556

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7547

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7547

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7537

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7505

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7494

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7475

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7474

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7466

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7411

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7407

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7398

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7385

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7331

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7330

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7289

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7267

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7230

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7218

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7158

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7150

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7145

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7135

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7134

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7100

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7097

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7092

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7069

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7066

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7023

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7017

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7016

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7004

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6980

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6968

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6956

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6949

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6923

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6922

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6892

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6887

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6859

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6853

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6816

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6813

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6810

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6763

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6741

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6710

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6702

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6699

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6695

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6694

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6655

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6593

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6554

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6551

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6522

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6499

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6487

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6482

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6474

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6390

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6353

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6337

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6293

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6266

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6244

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6157

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6141

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6139

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6039

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6010

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5958

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5937

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5907

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5890

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5882

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5859

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.5831

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5799

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5771

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5700

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5669

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5609

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5608

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5564

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5532

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5522

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5512

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5473

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5459

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5411

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5371

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5348

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5341

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5338

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.5327

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5324

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5308

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5300

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5293

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5260

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5244

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5213

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5209

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5206

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5185

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5176

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5140

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5102

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5029

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4988

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4974

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4960

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4919

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4852

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4815

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4761

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4702

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4611

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4599

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4582

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4565

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4369

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4363

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4329

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4188

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4182

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4048

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3980

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3972

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3895

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.3894

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3845

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3794

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3708

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3708

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3440

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3409

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3273

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3064

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3019

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2859

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2087

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1860

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1804

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1710

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1687

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1497

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1366

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1314

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1291

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1246

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1205

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1199

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1012

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0929

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0840

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0661

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0659

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0657

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0601

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0560

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0540

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`)