TreeWAS – [B96] Other bacterial agents as the cause of diseases classified to other chapters

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
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.988	0.012	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.986	0.014	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.982	0.018	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.980	0.020	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.976	0.024	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.975	0.025	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.971	0.029	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.970	0.030	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.968	0.032	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.965	0.035	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.964	0.036	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.957	0.043	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.954	0.046	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.954	0.046	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.945	0.055	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.944	0.056	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.943	0.057	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.940	0.060	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.937	0.063	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.918	0.082	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.917	0.083	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.917	0.083	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.915	0.085	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.912	0.088	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.911	0.089	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.903	0.097	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.896	0.104	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.895	0.105	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.883	0.117	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.872	0.128	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.862	0.138	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.850	0.150	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.840	0.160	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.835	0.165	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.834	0.166	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.833	0.167	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.826	0.174	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.823	0.177	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.817	0.183	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.812	0.188	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.804	0.196	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.803	0.197	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.798	0.202	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.797	0.203	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.788	0.212	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.787	0.213	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.786	0.214	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.775	0.225	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.772	0.228	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.768	0.232	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.752	0.248	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.746	0.254	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.740	0.260	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.732	0.268	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.727	0.273	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.723	0.277	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.719	0.281	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.706	0.294	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.693	0.307	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.669	0.331	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.666	0.333	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.654	0.346	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.652	0.348	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.648	0.352	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.647	0.353	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.646	0.354	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.639	0.361	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.634	0.366	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.629	0.371	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.624	0.376	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.618	0.382	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.614	0.386	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.610	0.390	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.604	0.395	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.604	0.396	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.595	0.405	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.580	0.420	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.579	0.421	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.579	0.421	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.566	0.434	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.561	0.439	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.556	0.444	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.549	0.451	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.544	0.456	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.541	0.459	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.533	0.467	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.531	0.469	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.518	0.482	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.512	0.488	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.511	0.489	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.495	0.505	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.485	0.515	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.460	0.540	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.542	0.458
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.449	0.551	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.435	0.565	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.429	0.571	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.427	0.573	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.426	0.574	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.421	0.579	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.415	0.585	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.411	0.589	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.407	0.593	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.400	0.600	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.393	0.607	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.365	0.635	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.364	0.635	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.356	0.644	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.355	0.645	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.353	0.647	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.352	0.648	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.347	0.653	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.345	0.655	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.342	0.658	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.337	0.663	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.335	0.665	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.332	0.668	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.325	0.675	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.321	0.679	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.318	0.682	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.317	0.683	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.311	0.689	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.310	0.690	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.307	0.693	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.284	0.716	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.284	0.716	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.284	0.716	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.280	0.720	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.279	0.720	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.273	0.727	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.265	0.735	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.263	0.737	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.262	0.738	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.252	0.748	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.252	0.748	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.249	0.751	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.240	0.760	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.227	0.773	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.205	0.795	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.199	0.801	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.190	0.810	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.187	0.813	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.166	0.834	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.164	0.836	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.158	0.841	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.156	0.844	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.148	0.852	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.147	0.853	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.147	0.853	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.144	0.856	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.144	0.856	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.139	0.861	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.137	0.863	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.133	0.867	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.125	0.875	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.124	0.876	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.122	0.878	0.000
rs9314308 lBF = `-0.0247094` Chr`8` : `25,544,679`	0.119	0.881	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.116	0.884	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.115	0.885	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.105	0.893	0.002
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.105	0.894	0.001
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.101	0.899	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.100	0.900	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.090	0.910	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.910	0.089
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.072	0.927	0.001
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.072	0.928	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.070	0.930	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.070	0.930	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.066	0.933	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.067	0.933	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.066	0.934	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.065	0.935	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.065	0.935	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.063	0.937	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.062	0.937	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.060	0.940	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.060	0.940	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.056	0.944	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.055	0.945	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.054	0.945	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.054	0.946	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.052	0.948	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.051	0.948	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.049	0.951	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.049	0.951	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.049	0.951	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.049	0.951	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.049	0.951	0.000
rs2511714 lBF = `-0.110272` Chr`8` : `103,578,874`	0.000	0.955	0.045
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.044	0.956	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.043	0.957	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.039	0.960	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.039	0.961	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.038	0.962	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.037	0.963	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.035	0.965	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.034	0.966	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.034	0.966	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.033	0.967	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.033	0.967	0.000
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rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs17685410 lBF = `-0.0559858` Chr`8` : `2,113,776`	0.000	1.000	0.000
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.000	1.000	0.000
rs2916733 lBF = `-0.0629949` Chr`8` : `6,323,278`	0.000	1.000	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	1.000	0.000
rs12716641 lBF = `0.251127` Chr`8` : `6,898,998`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	1.000	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.000	1.000	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs9650199 lBF = `-0.0671861` Chr`8` : `61,346,197`	0.000	1.000	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	1.000	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	1.000	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	1.000	0.000
rs13278849 lBF = `-0.0547562` Chr`8` : `26,714,874`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs2001945 lBF = `27.7438` Chr`8` : `126,477,978`	0.000	1.000	0.000
rs1045529 lBF = `1.37424` Chr`8` : `8,890,098`	0.000	1.000	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	1.000	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.000	1.000	0.000
rs13256095 lBF = `0.0584389` Chr`8` : `17,461,421`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs1140522 lBF = `-0.00667956` Chr`8` : `144,998,169`	0.000	1.000	0.000
rs7016416 lBF = `-0.00751253` Chr`8` : `144,997,656`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs2979481 lBF = `-0.0576421` Chr`8` : `30,262,786`	0.000	1.000	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	1.000	0.000
rs3104888 lBF = `0.105305` Chr`8` : `96,621,168`	0.000	1.000	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.000	1.000	0.000
rs7002002 lBF = `-0.00863131` Chr`8` : `144,997,927`	0.000	1.000	0.000
rs189798 lBF = `-0.0122038` Chr`8` : `8,990,577`	0.000	1.000	0.000
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.000	1.000	0.000
rs2439312 lBF = `-0.0253318` Chr`8` : `32,412,359`	0.000	1.000	0.000
rs10505574 lBF = `-0.0558895` Chr`8` : `132,472,102`	0.000	1.000	0.000
rs10504554 lBF = `-0.0845531` Chr`8` : `74,919,713`	0.000	1.000	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	1.000	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.000	1.000	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	1.000	0.000
rs4735677 lBF = `0.145963` Chr`8` : `78,148,191`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	1.000	0.000
rs11777402 lBF = `-0.00210228` Chr`8` : `144,995,736`	0.000	1.000	0.000
rs56117011 lBF = `-0.00211625` Chr`8` : `144,999,642`	0.000	1.000	0.000
rs35916068 lBF = `-0.00226273` Chr`8` : `144,999,684`	0.000	1.000	0.000
rs11778026 lBF = `-0.0123139` Chr`8` : `144,996,408`	0.000	1.000	0.000
rs11786903 lBF = `-0.0127512` Chr`8` : `144,996,598`	0.000	1.000	0.000
rs6558407 lBF = `-0.0239189` Chr`8` : `144,995,494`	0.000	1.000	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	1.000	0.000
rs2466104 lBF = `-0.0301253` Chr`8` : `32,410,712`	0.000	1.000	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	0.000	1.000	0.000
rs7820838 lBF = `-0.03659` Chr`8` : `32,405,979`	0.000	1.000	0.000
rs7823498 lBF = `-0.037933` Chr`8` : `32,403,573`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	1.000	0.000
rs6984820 lBF = `-0.0537633` Chr`8` : `144,993,324`	0.000	1.000	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	1.000	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	1.000	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	1.000	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	1.000	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.000	1.000	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs7826906 lBF = `0.0190413` Chr`8` : `121,501,723`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.000	1.000	0.000
rs4236709 lBF = `-0.0309197` Chr`8` : `32,410,110`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.000	1.000	0.000
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.000	1.000	0.000
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.000	1.000	0.000
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.000	1.000	0.000
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.000	1.000	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.3960

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3426

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1570

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

1.0000

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

1.0000

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9999

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9999

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9998

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9996

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9995

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9995

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9995

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9992

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9991

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9988

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9987

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9986

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9981

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9961

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9961

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9957

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9946

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9945

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9938

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9935

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9925

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9924

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9922

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9915

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9888

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9887

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9886

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9877

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9873

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9870

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9847

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9840

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9828

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9809

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9792

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9766

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9712

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9661

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9578

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9534

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9504

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9448

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9355

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9336

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9147

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9136

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9128

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9002

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8909

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8790

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8672

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8604

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8302

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8156

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7936

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7890

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7825

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7822

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7769

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7588

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7350

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7320

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7251

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7243

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7106

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6505

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6264

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6222

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5312

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5304

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5272

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4913

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4906

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4686

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3413

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3394

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3321

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3303

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3298

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3162

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3074

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3032

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2996

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2300

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2195

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2167

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2116

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2002

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1970

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1906

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1705

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1556

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1444

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1412

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1396

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1388

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1293

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1284

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1248

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1234

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1216

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1212

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1092

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1075

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1051

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0999

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0883

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0835

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0803

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0737

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0628

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0621

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0596

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0576

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0571

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0508

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`)