TreeWAS – [E07] Other disorders of thyroid

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

E07

Other disorders of thyroid

Parent term	E00-E07 Disorders of thyroid gland
Nested terms	E07.0 Hypersecretion of calcitonin E07.1 Dyshormogenetic goitre E07.8 Other specified disorders of thyroid E07.9 Disorder of thyroid, 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
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.766	0.234	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.758	0.242	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.741	0.259	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.737	0.263	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.725	0.275	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.713	0.287	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.712	0.288	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.708	0.292	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.677	0.323	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.662	0.338	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.646	0.354	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.645	0.355	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.633	0.367	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.632	0.368	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.631	0.369	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.631	0.369	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.631	0.369	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.624	0.376	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.617	0.383	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.612	0.388	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.611	0.388	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.610	0.390	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.606	0.394	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.593	0.407	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.590	0.410	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.580	0.420	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.578	0.422	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.575	0.425	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.559	0.441	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.555	0.445	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.546	0.453	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.546	0.454	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.544	0.456	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.510	0.490	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.507	0.493	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.506	0.494	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.504	0.496	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.495	0.505	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.493	0.507	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.491	0.509	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.484	0.516	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.481	0.519	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.479	0.521	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.477	0.523	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.476	0.523	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.468	0.531	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.459	0.541	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.458	0.542	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.457	0.543	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.456	0.544	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.448	0.552	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.439	0.561	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.438	0.561	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.438	0.562	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.437	0.563	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.432	0.568	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.423	0.577	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.420	0.579	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.418	0.582	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.416	0.584	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.412	0.588	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.403	0.596	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.403	0.597	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.397	0.603	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.389	0.611	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.388	0.611	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.385	0.614	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.383	0.617	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.383	0.617	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.379	0.621	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.378	0.622	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.372	0.628	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.631	0.369
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.367	0.632	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.365	0.635	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.364	0.636	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.362	0.638	0.000
rs7826660 lBF = `5.40669` Chr`8` : `8,379,107`	0.001	0.642	0.358
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.342	0.658	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.341	0.659	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.341	0.659	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.339	0.661	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.337	0.663	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.335	0.665	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.327	0.672	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.324	0.676	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.324	0.676	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.323	0.677	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.320	0.680	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.318	0.682	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.318	0.682	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.313	0.687	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.313	0.687	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.307	0.692	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.306	0.694	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.304	0.696	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.303	0.697	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.299	0.701	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.297	0.703	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.296	0.704	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.294	0.705	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.294	0.706	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.291	0.709	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.283	0.716	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.282	0.717	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.282	0.718	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.281	0.719	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.280	0.719	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.279	0.720	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.277	0.723	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.274	0.725	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.273	0.727	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.272	0.727	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.268	0.731	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.266	0.734	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.264	0.735	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.263	0.737	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.260	0.740	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.258	0.742	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.255	0.744	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.255	0.745	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.254	0.745	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.253	0.747	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.252	0.748	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.251	0.749	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.249	0.750	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.249	0.750	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.249	0.751	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.247	0.752	0.001
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.246	0.754	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.244	0.756	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.240	0.760	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.234	0.766	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.229	0.771	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.228	0.771	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.227	0.773	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.226	0.774	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.224	0.776	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.223	0.777	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.222	0.778	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.221	0.779	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.220	0.780	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.218	0.782	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.217	0.783	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.217	0.783	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.214	0.786	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.206	0.794	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.205	0.795	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.199	0.801	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.198	0.802	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.191	0.802	0.007
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.192	0.807	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.186	0.814	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.182	0.818	0.000
rs7825175 lBF = `0.161327` Chr`8` : `32,416,274`	0.181	0.819	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.178	0.822	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.172	0.828	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.171	0.829	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.171	0.829	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.167	0.832	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.166	0.834	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.164	0.835	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.163	0.837	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.161	0.838	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.161	0.839	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.159	0.841	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.159	0.841	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.156	0.843	0.002
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.151	0.848	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.147	0.852	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.144	0.856	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.143	0.856	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.139	0.861	0.001
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.137	0.863	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.132	0.868	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.126	0.874	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.125	0.875	0.001
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.121	0.879	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.121	0.879	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.109	0.891	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.107	0.893	0.001
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.102	0.898	0.000
rs2945232 lBF = `3.08305` Chr`8` : `8,098,038`	0.000	0.902	0.097
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.097	0.903	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.096	0.903	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.090	0.909	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.084	0.914	0.001
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.080	0.920	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.078	0.922	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.077	0.922	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.000	0.927	0.073
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.072	0.928	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.070	0.930	0.000
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.000	0.934	0.066
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.064	0.935	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.936	0.064
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.000	0.939	0.061
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.056	0.944	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.053	0.947	0.000
rs7005606 lBF = `0.0301049` Chr`8` : `32,401,501`	0.052	0.948	0.000
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rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	0.999	0.001
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.001	0.999	0.000
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.001	0.999	0.000
rs6472235 lBF = `0.00248626` Chr`8` : `66,822,030`	0.001	0.999	0.000
rs183529902 lBF = `-0.00000969` Chr`8` : `35,880,032`	0.001	0.999	0.000
rs7004587 lBF = `-0.00002087` Chr`8` : `108,040,352`	0.000	0.999	0.001
rs138094162 lBF = `-0.00002448` Chr`8` : `6,489,568`	0.001	0.999	0.000
rs10107366 lBF = `-0.00003159` Chr`8` : `99,113,687`	0.001	0.999	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	0.999	0.001
rs151198427 lBF = `-0.00005693` Chr`8` : `68,351,787`	0.001	0.999	0.000
rs9643297 lBF = `-0.103169` Chr`8` : `134,483,695`	0.000	0.999	0.001
rs2954020 lBF = `28.9243` Chr`8` : `126,481,952`	0.001	0.999	0.000
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.000	0.999	0.001
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.000	0.999	0.001
rs9969524 lBF = `-0.0972992` Chr`8` : `88,746,846`	0.000	0.999	0.001
rs15285 lBF = `20.0574` Chr`8` : `19,824,667`	0.000	0.999	0.001
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	0.999	0.001
rs6558578 lBF = `-0.0952741` Chr`8` : `1,969,726`	0.001	0.999	0.000
rs12679857 lBF = `1.94203` Chr`8` : `119,977,337`	0.000	0.999	0.001
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.001	0.999	0.000
rs16902460 lBF = `-0.00013523` Chr`8` : `128,920,197`	0.000	0.999	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	0.999	0.001
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.000	0.999	0.001
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	0.999	0.001
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.001	0.999	0.000
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.000	0.999	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.001	0.999	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.001	0.999	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	0.999	0.001
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.001	0.999	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.001	0.999	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.001	0.999	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	0.999	0.001
rs7014382 lBF = `6.1756` Chr`8` : `69,991,586`	0.000	0.999	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	0.999	0.001
rs12541902 lBF = `1.19166` Chr`8` : `60,623,348`	0.001	0.999	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	0.999	0.001
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.000	0.999	0.001
rs4733770 lBF = `-0.0617633` Chr`8` : `131,152,665`	0.001	0.999	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	0.999	0.001
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	0.999	0.001
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.000	0.999	0.001
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.000	0.999	0.001
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	0.999	0.000
rs1671400 lBF = `-0.00901045` Chr`8` : `13,176,407`	0.000	0.999	0.001
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.001	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.001	0.999	0.000
rs8180991 lBF = `0.184613` Chr`8` : `126,500,350`	0.000	0.999	0.001
rs2468186 lBF = `0.0833698` Chr`8` : `120,200,702`	0.001	0.999	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.001	0.999	0.000
rs2622633 lBF = `-0.109404` Chr`8` : `106,509,975`	0.001	0.999	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	0.999	0.001
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	0.999	0.001
rs7461897 lBF = `-0.0288878` Chr`8` : `26,894,544`	0.000	0.999	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	0.999	0.001
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.001	0.999	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.001	0.999	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.000	0.999	0.001
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.000	0.999	0.001
rs13277237 lBF = `-0.0240429` Chr`8` : `130,604,563`	0.000	0.999	0.001
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.001	0.999	0.000
rs733254 lBF = `-0.0377205` Chr`8` : `135,638,632`	0.000	0.999	0.000
rs11774576 lBF = `-0.108983` Chr`8` : `27,740,417`	0.000	0.999	0.001
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	0.999	0.001
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	0.999	0.001
rs36116061 lBF = `0.0224256` Chr`8` : `89,373,327`	0.001	0.999	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs2045084 lBF = `-0.0667958` Chr`8` : `144,693,839`	0.000	0.999	0.001
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.001	0.999	0.000
rs7828089 lBF = `-0.106178` Chr`8` : `22,264,334`	0.001	0.999	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	0.999	0.001
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.001	0.999	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.001	0.999	0.000
rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	0.000	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.001	0.999	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.001	0.999	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	0.999	0.001
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.001	0.999	0.000
rs13252298 lBF = `2.21438` Chr`8` : `128,095,156`	0.001	0.999	0.000
rs7814319 lBF = `0.518464` Chr`8` : `97,263,418`	0.001	0.999	0.000
rs60461555 lBF = `0.511141` Chr`8` : `60,599,331`	0.000	0.999	0.001
rs12679556 lBF = `0.196355` Chr`8` : `72,514,228`	0.000	0.999	0.001
rs7821565 lBF = `0.0801604` Chr`8` : `52,216,762`	0.001	0.999	0.000
rs3019286 lBF = `0.0717552` Chr`8` : `99,895,405`	0.000	0.999	0.000
rs4841398 lBF = `0.00282566` Chr`8` : `10,462,806`	0.000	0.999	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	0.999	0.000
rs10503256 lBF = `-0.0780116` Chr`8` : `4,214,179`	0.000	0.999	0.001
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.001	0.999	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	0.999	0.000
rs2912522 lBF = `7.07022` Chr`8` : `69,992,380`	0.001	0.999	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.000	0.999	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.000	0.999	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	0.999	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	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 X0108

log Bayes Factor = 155.083

contains 8 variants

0.8177

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.5917

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4603

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0865

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0609

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9714

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9650

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.9579

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9461

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9393

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9194

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9193

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9059

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8991

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8971

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8765

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8741

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8662

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8577

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8568

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8430

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8411

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8370

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8357

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8310

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8267

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7998

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7996

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7873

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7805

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7736

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7651

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7648

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7548

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7536

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7291

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7176

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7147

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7104

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7046

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7011

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6958

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6886

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6816

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6814

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6774

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6676

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6526

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6448

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6436

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6393

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6366

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6300

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6074

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6056

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6049

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6031

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6021

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5998

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5996

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5922

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5843

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5841

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5821

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5808

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5796

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5653

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5644

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5564

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5514

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5424

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5392

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5381

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5238

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5215

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4942

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4937

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4873

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4854

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4803

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4662

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4645

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4623

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4607

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4538

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4530

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4523

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4515

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4496

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4491

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4448

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4301

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4117

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4109

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4066

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4060

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4020

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3970

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3944

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3938

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3880

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3809

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.3771

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3740

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3694

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3693

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3676

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3675

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3631

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3624

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3581

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3567

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3506

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3472

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3453

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3441

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3390

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3379

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3353

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3325

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3269

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3211

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3158

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3101

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3098

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3095

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3082

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3080

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3054

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3044

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2998

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2985

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2970

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2968

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2880

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2874

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2867

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2792

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2785

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2736

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2673

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2630

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2605

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2553

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2387

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2367

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2336

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2316

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2311

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2275

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2253

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2243

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2211

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2203

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2201

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2101

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2023

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1983

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1922

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1863

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1642

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1616

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1547

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1535

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1522

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1485

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1481

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1384

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1340

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1327

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1288

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1275

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1270

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1207

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1185

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1151

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1123

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1114

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1114

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1065

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1059

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1046

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1010

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0996

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0987

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0980

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0962

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0949

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0949

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0941

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0911

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0883

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0882

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0853

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0813

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0803

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0791

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0790

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0768

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0730

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0712

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0648

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0646

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0644

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0609

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0588

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0540

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0509

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`)