TreeWAS – [Z93.4] Other artificial openings of gastro-intestinal tract 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
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.792	0.208	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.777	0.223	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.708	0.292	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.700	0.300	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.684	0.316	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.669	0.331	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.658	0.342	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.652	0.348	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.634	0.366	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.632	0.367	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.631	0.369	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.629	0.371	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.627	0.373	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.597	0.403	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.588	0.412	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.573	0.427	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.569	0.431	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.567	0.433	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.565	0.435	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.562	0.437	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.559	0.441	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.554	0.446	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.553	0.447	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.545	0.455	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.542	0.458	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.540	0.459	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.534	0.466	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.501	0.499	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.462	0.538	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.546	0.453
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.442	0.557	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.442	0.558	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.432	0.568	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.430	0.570	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.426	0.574	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.424	0.576	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.421	0.578	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.405	0.595	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.384	0.616	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.369	0.631	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.368	0.632	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.363	0.636	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.354	0.645	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.354	0.646	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.323	0.677	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.311	0.689	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.299	0.701	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.299	0.701	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.289	0.711	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.284	0.716	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.273	0.726	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.271	0.729	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.265	0.734	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.262	0.738	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.251	0.749	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.241	0.759	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.236	0.763	0.001
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.230	0.770	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.228	0.772	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.223	0.776	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.197	0.803	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.192	0.808	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.180	0.820	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.160	0.839	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.153	0.847	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.133	0.866	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.131	0.868	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.129	0.871	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.124	0.876	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.115	0.885	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.111	0.889	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.101	0.898	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.095	0.903	0.002
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.921	0.079
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.077	0.923	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.074	0.924	0.002
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.074	0.926	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.067	0.933	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.062	0.937	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.058	0.942	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	0.944	0.056
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.045	0.955	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.042	0.958	0.000
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
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.035	0.964	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.035	0.965	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.034	0.965	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.030	0.970	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.030	0.970	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.028	0.972	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.025	0.975	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.025	0.975	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.024	0.976	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.020	0.979	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.019	0.980	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	0.982	0.018
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.017	0.982	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.017	0.983	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.016	0.984	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.014	0.985	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.014	0.986	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.013	0.987	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.013	0.987	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.012	0.987	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.012	0.988	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.011	0.988	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.009	0.991	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.008	0.991	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.992	0.008
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.008	0.992	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	0.993	0.007
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	0.994	0.006
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.994	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.995	0.005
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.004	0.996	0.001
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.004	0.996	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.004	0.996	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.004	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.003	0.997	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.003	0.997	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.997	0.003
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.003	0.997	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.003	0.997	0.000
rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	0.997	0.003
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.002	0.997	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.002	0.998	0.000
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.002	0.998	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs6471393 lBF = `-0.102355` Chr`8` : `94,715,291`	0.002	0.998	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.002	0.998	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	0.998	0.002
rs9314614 lBF = `-0.0966588` Chr`8` : `6,697,731`	0.002	0.998	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.998	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.002	0.998	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.998	0.000
rs3019286 lBF = `0.0717552` Chr`8` : `99,895,405`	0.000	0.998	0.002
rs12716641 lBF = `0.251127` Chr`8` : `6,898,998`	0.000	0.998	0.002
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.998	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.002	0.998	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.002	0.998	0.000
rs383592 lBF = `-0.0854935` Chr`8` : `90,804,328`	0.002	0.998	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.001	0.998	0.000
rs7009516 lBF = `-0.0314287` Chr`8` : `24,208,847`	0.000	0.998	0.002
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.001	0.998	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.001	0.998	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	0.998	0.001
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	0.999	0.001
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.001	0.999	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.001	0.999	0.000
rs998731 lBF = `-0.0793837` Chr`8` : `81,095,395`	0.000	0.999	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs907121 lBF = `0.11678` Chr`8` : `122,963,215`	0.000	0.999	0.001
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	0.999	0.001
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	0.999	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs11781551 lBF = `-0.0976676` Chr`8` : `123,408,091`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs4871297 lBF = `-0.0107637` Chr`8` : `123,706,155`	0.001	0.999	0.000
rs2410601 lBF = `-0.0828744` Chr`8` : `18,922,577`	0.001	0.999	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	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
rs2860223 lBF = `-0.0335866` Chr`8` : `134,668,677`	0.001	0.999	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.001	0.999	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.001	0.999	0.000
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rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	0.999	0.000
rs7015048 lBF = `-0.0923728` Chr`8` : `144,984,283`	0.001	0.999	0.000
rs15285 lBF = `20.0574` Chr`8` : `19,824,667`	0.000	0.999	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	0.999	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	0.999	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	0.999	0.000
rs1387221 lBF = `-0.0694636` Chr`8` : `59,601,557`	0.001	0.999	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	0.999	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	0.999	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	0.999	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	0.999	0.000
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	0.999	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.000	0.999	0.000
rs1425902 lBF = `0.126688` Chr`8` : `54,119,214`	0.000	0.999	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	0.999	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	0.999	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	0.999	0.000
rs2645424 lBF = `-0.0610044` Chr`8` : `11,684,463`	0.000	0.999	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs2468677 lBF = `0.115259` Chr`8` : `140,519,517`	0.000	1.000	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs11985951 lBF = `-0.01452` Chr`8` : `20,592,509`	0.000	1.000	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	1.000	0.000
rs2511714 lBF = `-0.110272` Chr`8` : `103,578,874`	0.000	1.000	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.000	1.000	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.000	1.000	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	1.000	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.000	1.000	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs4601292 lBF = `0.0604848` Chr`8` : `66,851,731`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs10112574 lBF = `0.0416653` Chr`8` : `67,381,268`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs10092658 lBF = `-0.0463732` Chr`8` : `130,980,472`	0.000	1.000	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	1.000	0.000
rs326 lBF = `15.1404` Chr`8` : `19,819,439`	0.000	1.000	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	1.000	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs1030420 lBF = `0.105037` Chr`8` : `67,360,725`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	1.000	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	1.000	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	1.000	0.000
rs16918254 lBF = `-0.0365552` Chr`8` : `53,769,213`	0.000	1.000	0.000
rs920590 lBF = `-0.0513113` Chr`8` : `19,651,161`	0.000	1.000	0.000
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.000	1.000	0.000
rs12155789 lBF = `-0.0968561` Chr`8` : `22,643,707`	0.000	1.000	0.000
rs17489373 lBF = `16.1189` Chr`8` : `19,855,344`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	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

0.6912

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2794

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9947

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9914

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9883

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9882

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9870

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9850

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9813

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9771

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9765

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9761

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9761

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9713

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9618

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9617

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9596

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9574

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9553

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9543

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9501

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9462

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9458

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9456

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9451

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9437

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9271

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9270

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9253

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9221

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9176

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9072

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9060

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8973

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8971

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8965

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8941

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8937

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8859

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8787

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8775

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8774

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8773

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8722

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8698

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8645

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8630

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8610

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8527

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8512

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8476

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8472

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8445

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8413

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8326

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8270

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8270

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8248

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8237

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8214

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8187

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8177

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8122

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8064

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8046

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8001

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7875

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7871

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7856

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7737

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7675

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7641

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7526

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7505

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7450

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7073

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7063

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6948

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6763

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6752

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6732

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6637

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6519

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6501

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6258

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6137

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6098

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6086

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5945

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5922

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5790

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5754

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5604

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5601

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5416

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5325

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5264

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5202

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5068

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4919

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4655

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4284

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3987

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3210

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3087

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3032

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2979

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2925

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2819

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2726

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2641

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2546

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1917

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1820

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1537

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1455

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1423

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1250

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1162

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1081

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1070

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1045

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0993

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0978

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0974

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0705

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0633

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0629

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0540

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)