TreeWAS – [I33.0] Acute and subacute infective endocarditis

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
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.743	0.256	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.689	0.311	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.689	0.311	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.680	0.320	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.677	0.323	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.671	0.329	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.645	0.355	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.635	0.365	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.632	0.367	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.382	0.618
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.616	0.384	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.615	0.385	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.601	0.399	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.600	0.399	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.586	0.414	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.585	0.415	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.574	0.426	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.573	0.427	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.567	0.433	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.551	0.449	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.550	0.450	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.549	0.451	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.545	0.455	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.538	0.462	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.534	0.466	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.530	0.470	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.529	0.471	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.520	0.480	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.517	0.482	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.516	0.484	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.516	0.484	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.515	0.485	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.515	0.485	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.514	0.486	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.513	0.487	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.512	0.488	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.510	0.490	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.505	0.495	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.504	0.496	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.501	0.498	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.499	0.501	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.493	0.507	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.488	0.512	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.480	0.519	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.477	0.523	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.475	0.524	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.473	0.527	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.472	0.527	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.472	0.527	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.472	0.528	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.472	0.528	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.471	0.529	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.470	0.529	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.470	0.530	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.467	0.532	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.466	0.534	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.465	0.534	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.463	0.537	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.461	0.538	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.454	0.546	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.436	0.564	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.434	0.566	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.434	0.566	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.432	0.568	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.429	0.570	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.429	0.571	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.428	0.572	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.420	0.580	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.415	0.584	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.586	0.414
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.408	0.591	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.407	0.593	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.405	0.595	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.396	0.604	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.391	0.608	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.391	0.609	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.390	0.610	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.380	0.620	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.373	0.627	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.369	0.631	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.368	0.632	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.366	0.634	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.365	0.635	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.358	0.641	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.357	0.643	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.356	0.644	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.354	0.645	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.353	0.647	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.350	0.650	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.332	0.667	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.331	0.669	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.325	0.675	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.318	0.682	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.316	0.683	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.315	0.685	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.312	0.687	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.306	0.694	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.298	0.702	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.293	0.707	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.289	0.711	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.283	0.716	0.001
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.283	0.716	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.283	0.717	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.271	0.729	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.270	0.729	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.260	0.740	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.251	0.749	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.251	0.749	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.246	0.753	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.243	0.757	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.230	0.770	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.222	0.778	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.220	0.780	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.218	0.782	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.217	0.783	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.212	0.788	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.198	0.802	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.183	0.815	0.002
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.185	0.815	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.173	0.827	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.169	0.831	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.155	0.844	0.001
rs17189216 lBF = `0.067456` Chr`8` : `120,448,932`	0.000	0.845	0.155
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.153	0.846	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.153	0.847	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.152	0.847	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.149	0.850	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.142	0.857	0.000
rs1585518 lBF = `0.0706345` Chr`8` : `120,475,238`	0.000	0.862	0.138
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.127	0.873	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.127	0.873	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.123	0.877	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.122	0.878	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.111	0.889	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.105	0.895	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.095	0.904	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.090	0.909	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.088	0.912	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.072	0.928	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.069	0.930	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.932	0.068
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.065	0.934	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.064	0.936	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.062	0.937	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.061	0.939	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.060	0.940	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.058	0.942	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	0.946	0.053
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.051	0.949	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.047	0.952	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.046	0.954	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.044	0.956	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.042	0.957	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.041	0.959	0.001
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.040	0.960	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.040	0.960	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	0.962	0.038
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.037	0.963	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.036	0.963	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	0.965	0.035
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.033	0.967	0.001
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.032	0.968	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.031	0.968	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.031	0.969	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.027	0.973	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.026	0.974	0.000
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.000	0.976	0.024
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.000	0.977	0.023
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	0.977	0.023
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.022	0.978	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.021	0.979	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.021	0.979	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.021	0.979	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.020	0.980	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.020	0.980	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.018	0.982	0.001
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.018	0.982	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.017	0.983	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.016	0.984	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.016	0.984	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.985	0.015
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.015	0.985	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.014	0.986	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.013	0.987	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.013	0.987	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.013	0.987	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	0.988	0.012
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.012	0.988	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.009	0.991	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.009	0.991	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.008	0.991	0.001
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.008	0.992	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.008	0.992	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.001	0.992	0.007
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.008	0.992	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.007	0.992	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.006	0.993	0.001
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.007	0.993	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.007	0.993	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.006	0.994	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.006	0.994	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.005	0.994	0.000
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rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.001	0.999	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.001	0.999	0.000
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.000	0.999	0.001
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.001	0.999	0.000
rs17412740 lBF = `-0.0262207` Chr`8` : `20,246,758`	0.000	0.999	0.001
rs16886173 lBF = `-0.0385252` Chr`8` : `115,620,460`	0.001	0.999	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	0.001	0.999	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.001	0.999	0.000
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.001	0.999	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.001	0.999	0.000
rs1013209 lBF = `-0.0833888` Chr`8` : `24,116,304`	0.000	0.999	0.001
rs218869 lBF = `-0.0912182` Chr`8` : `23,636,281`	0.001	0.999	0.000
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.000	0.999	0.001
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.000	0.999	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.001	0.999	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	0.999	0.001
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.001	0.999	0.000
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.001	0.999	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.001	0.999	0.000
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.001	0.999	0.000
rs11995854 lBF = `0.120065` Chr`8` : `129,220,073`	0.001	0.999	0.000
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.001	0.999	0.000
rs7826906 lBF = `0.0190413` Chr`8` : `121,501,723`	0.000	0.999	0.001
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.001	0.999	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.001	0.999	0.000
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.000	0.999	0.001
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.001	0.999	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.000	0.999	0.001
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.001	0.999	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.001	0.999	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.000	0.999	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.001	0.999	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.001	0.999	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	0.999	0.001
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	0.999	0.001
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.999	0.001
rs4735053 lBF = `5.21769` Chr`8` : `109,260,776`	0.001	0.999	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.000	0.999	0.001
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	0.999	0.001
rs10103155 lBF = `23.4513` Chr`8` : `25,727,902`	0.001	0.999	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.000	0.999	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.001	0.999	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.001	0.999	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.001	0.999	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	0.000	0.999	0.001
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	0.999	0.001
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.000	0.999	0.001
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	0.999	0.001
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	0.999	0.001
rs10504390 lBF = `-0.0129628` Chr`8` : `66,624,232`	0.000	0.999	0.001
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.001	0.999	0.000
rs2954026 lBF = `24.8282` Chr`8` : `126,484,526`	0.000	0.999	0.001
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.001	0.999	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	0.999	0.000
rs896854 lBF = `0.188603` Chr`8` : `95,960,511`	0.000	0.999	0.001
rs2468186 lBF = `0.0833698` Chr`8` : `120,200,702`	0.001	0.999	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.001	0.999	0.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.001	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.001	0.999	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.001	0.999	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.001	0.999	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	0.999	0.001
rs144606178 lBF = `-0.0402931` Chr`8` : `1,299,878`	0.000	0.999	0.001
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.001	0.999	0.000
rs1561927 lBF = `-0.0657726` Chr`8` : `129,568,078`	0.001	0.999	0.000
rs7819988 lBF = `-0.0691533` Chr`8` : `122,210,890`	0.001	0.999	0.000
rs344235 lBF = `-0.070024` Chr`8` : `62,926,147`	0.001	0.999	0.000
rs17581368 lBF = `-0.0956044` Chr`8` : `21,662,445`	0.001	0.999	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.001	0.999	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	0.999	0.001
rs13281615 lBF = `3.28748` Chr`8` : `128,355,618`	0.000	0.999	0.001
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	0.999	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.001	0.999	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	0.999	0.001
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.000	0.999	0.001
rs1870805 lBF = `-0.10755` Chr`8` : `140,995,243`	0.000	0.999	0.001
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.001	0.999	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.000	0.999	0.000
rs13277113 lBF = `0.158059` Chr`8` : `11,349,186`	0.001	0.999	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	0.999	0.001
rs7829987 lBF = `0.132573` Chr`8` : `17,462,222`	0.001	0.999	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.001	0.999	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.999	0.001
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.001	0.999	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.999	0.001
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	0.999	0.001
rs7830371 lBF = `-0.0821378` Chr`8` : `62,055,667`	0.000	0.999	0.001
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	0.999	0.001
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	0.999	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.001	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	0.999	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.000	0.999	0.001
rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	0.001	0.999	0.000
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.001	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.3649

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3546

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3451

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1994

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9919

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9890

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9838

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9827

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9818

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9808

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9764

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9718

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9609

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9580

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9503

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9460

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9422

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9404

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9364

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9324

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9319

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9309

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9287

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9275

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9260

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9258

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9215

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9198

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9065

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9006

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8905

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8863

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8859

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8790

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8780

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8737

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8717

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8627

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8551

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8516

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8461

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8440

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8389

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8311

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8282

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8266

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8250

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8229

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8175

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8102

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7850

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7786

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7673

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7652

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7632

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7553

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7540

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7502

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7454

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7451

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7347

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7320

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7291

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7257

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7241

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7233

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7120

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7023

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6952

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6903

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6857

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6831

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6663

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6648

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6623

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6621

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6594

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6577

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6574

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6543

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6396

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6382

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6275

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6194

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6097

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6067

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5926

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5919

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5857

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5820

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5713

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5584

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5561

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5553

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5551

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5536

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5494

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5420

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5374

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5362

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5067

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4916

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4881

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4817

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4810

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4677

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4470

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4343

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4337

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4163

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4152

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4085

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3931

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3830

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3701

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3651

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3609

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3411

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3398

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3103

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2979

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2849

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2827

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2730

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2630

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2603

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2498

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2488

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2454

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2381

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2375

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2246

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2244

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2163

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2023

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1963

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1912

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1839

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1831

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1801

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1320

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1303

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1274

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1195

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0921

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0845

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0843

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0788

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0655

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0581

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0507

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`)