TreeWAS – [Z93.2] Ileostomy status

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
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.965	0.035	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.818	0.182	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.795	0.205	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.780	0.220	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.776	0.224	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.752	0.248	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.706	0.294	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.682	0.318	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.652	0.348	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.652	0.348	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.648	0.352	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.646	0.354	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.643	0.357	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.632	0.368	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.627	0.373	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.617	0.383	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.614	0.386	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.590	0.410	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.580	0.420	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.573	0.427	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.556	0.444	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.555	0.445	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.553	0.447	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.552	0.448	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.528	0.472	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.502	0.498	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.466	0.534	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.460	0.539	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.546	0.453
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.441	0.559	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.431	0.569	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.430	0.570	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.411	0.589	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.409	0.590	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.400	0.600	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.391	0.609	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.390	0.610	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.366	0.634	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.317	0.682	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.317	0.683	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.311	0.689	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.310	0.690	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.302	0.698	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.302	0.698	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.297	0.703	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.291	0.709	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.282	0.717	0.001
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.263	0.737	0.001
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.261	0.738	0.001
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.252	0.748	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.244	0.756	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.237	0.763	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.234	0.766	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.234	0.766	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.232	0.768	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.228	0.772	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.225	0.775	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.213	0.787	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.191	0.809	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.181	0.819	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.175	0.825	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.167	0.833	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.136	0.863	0.001
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.129	0.871	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.128	0.872	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.126	0.874	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.122	0.877	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.111	0.888	0.001
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.110	0.889	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.091	0.909	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.921	0.079
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.077	0.923	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.074	0.926	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.060	0.939	0.001
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.060	0.940	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.058	0.942	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.055	0.945	0.000
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.050	0.950	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.049	0.951	0.001
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.047	0.953	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.045	0.955	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.038	0.959	0.003
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.033	0.964	0.003
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.032	0.968	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.030	0.969	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	0.972	0.028
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.028	0.972	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.025	0.975	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	0.977	0.023
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.022	0.978	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.022	0.978	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.019	0.981	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.018	0.982	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.018	0.982	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.018	0.982	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.017	0.983	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.017	0.983	0.001
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.017	0.983	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.017	0.983	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.015	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs3019885 lBF = `-0.0732499` Chr`8` : `118,025,645`	0.000	0.985	0.015
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.014	0.985	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.014	0.986	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.014	0.986	0.000
rs921720 lBF = `-0.07194` Chr`8` : `126,534,671`	0.014	0.986	0.000
rs10956252 lBF = `-0.0720595` Chr`8` : `126,536,137`	0.014	0.986	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.013	0.986	0.000
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.012	0.988	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.012	0.988	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.012	0.988	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.012	0.988	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	0.988	0.012
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.009	0.991	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.008	0.991	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.008	0.992	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	0.992	0.008
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.007	0.993	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.007	0.993	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.993	0.007
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.994	0.006
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.005	0.995	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.004	0.995	0.001
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.005	0.995	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.005	0.995	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.004	0.996	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.004	0.996	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.004	0.996	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.004	0.996	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.000	0.996	0.004
rs2458413 lBF = `-0.0845246` Chr`8` : `105,359,432`	0.000	0.996	0.004
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	0.996	0.004
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.004	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs9298506 lBF = `0.291683` Chr`8` : `55,437,524`	0.000	0.997	0.003
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.003	0.997	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.000	0.997	0.003
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.003	0.997	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.997	0.003
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.003	0.997	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.997	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.003	0.997	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.002	0.998	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.001	0.998	0.001
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.000	0.998	0.002
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	0.998	0.002
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.002	0.998	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	0.998	0.002
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.002	0.998	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.998	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	0.998	0.002
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.002	0.998	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	0.998	0.002
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	0.998	0.001
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs60461555 lBF = `0.511141` Chr`8` : `60,599,331`	0.000	0.999	0.001
rs7816936 lBF = `-0.015758` Chr`8` : `5,071,412`	0.000	0.999	0.001
rs7465272 lBF = `-0.0778937` Chr`8` : `143,691,838`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs72663955 lBF = `-0.00745377` Chr`8` : `71,139,330`	0.000	0.999	0.001
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	0.999	0.001
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	0.999	0.001
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.001	0.999	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
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rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.000	1.000	0.000
rs13702 lBF = `18.3151` Chr`8` : `19,824,492`	0.000	1.000	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.000	1.000	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.000	1.000	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.000	1.000	0.000
rs7819570 lBF = `0.174807` Chr`8` : `89,588,626`	0.000	1.000	0.000
rs7838490 lBF = `0.154765` Chr`8` : `89,585,048`	0.000	1.000	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs113889867 lBF = `-0.0433376` Chr`8` : `80,556,500`	0.000	1.000	0.000
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.000	1.000	0.000
rs320 lBF = `15.1988` Chr`8` : `19,819,077`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.000	1.000	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs400824 lBF = `3.72898` Chr`8` : `81,357,702`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs7833787 lBF = `0.110086` Chr`8` : `18,707,871`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs7829127 lBF = `-0.00677657` Chr`8` : `40,726,394`	0.000	1.000	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.000	1.000	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.000	1.000	0.000
rs7015048 lBF = `-0.0923728` Chr`8` : `144,984,283`	0.000	1.000	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs3739262 lBF = `0.0702267` Chr`8` : `134,205,713`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	1.000	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.000	1.000	0.000
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.000	1.000	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.000	1.000	0.000
rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	1.000	0.000
rs331 lBF = `17.9407` Chr`8` : `19,820,405`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs12548021 lBF = `-0.0827183` Chr`8` : `29,344,462`	0.000	1.000	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.000	1.000	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.000	1.000	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	1.000	0.000
rs11995572 lBF = `0.255395` Chr`8` : `89,592,083`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs13259289 lBF = `0.0653373` Chr`8` : `4,110,032`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs733254 lBF = `-0.0377205` Chr`8` : `135,638,632`	0.000	1.000	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	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 X0023

log Bayes Factor = 129.003

contains 9 variants

0.9988

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4233

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1985

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9999

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9998

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9996

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9996

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9991

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9987

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9976

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9974

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9956

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9952

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9925

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9921

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9880

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9801

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9750

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9718

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9696

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9689

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9585

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9545

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9540

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9538

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9466

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9245

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9127

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9116

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9049

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9034

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8934

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8919

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8810

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8801

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8724

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8187

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8093

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8081

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8019

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7862

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7727

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7712

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7506

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7483

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6926

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6892

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6689

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6606

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6587

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6448

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6425

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6416

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6263

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6160

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6127

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.6110

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6036

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5656

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5354

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5236

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4584

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4334

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4079

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3923

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3569

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3402

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3305

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3158

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2812

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2752

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2665

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2423

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2416

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2389

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2348

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2325

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1673

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1587

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1480

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1373

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1286

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1215

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1116

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1049

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1042

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0986

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0922

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0813

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0759

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0752

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0701

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0692

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0649

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0624

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0586

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0586

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`)