TreeWAS – [Z90.3] Acquired absence of part of stomach

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`	0.849	0.151	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.842	0.158	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.742	0.258	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.718	0.282	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.716	0.283	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.708	0.292	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.700	0.300	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.679	0.321	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.665	0.335	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.659	0.341	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.653	0.347	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.650	0.350	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.634	0.366	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.627	0.373	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.581	0.419	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.580	0.420	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.432	0.568
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.468	0.532
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.518	0.482	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.513	0.486	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.504	0.496	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.501	0.498	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.493	0.507	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.471	0.528	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.455	0.545	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.454	0.546	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.430	0.570	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.427	0.573	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.385	0.615	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.382	0.618	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.380	0.619	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.380	0.620	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.334	0.666	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.319	0.681	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.317	0.683	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.316	0.684	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.296	0.704	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.295	0.705	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.289	0.711	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.289	0.711	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.283	0.717	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.281	0.719	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.280	0.720	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.278	0.722	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.267	0.733	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.246	0.754	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.230	0.770	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.221	0.778	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.218	0.782	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.217	0.783	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.211	0.789	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.207	0.793	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.203	0.797	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.188	0.812	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.175	0.825	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.173	0.827	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.171	0.829	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.163	0.837	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.163	0.837	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.150	0.850	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.145	0.854	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.133	0.867	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.125	0.875	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.124	0.876	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.116	0.883	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.116	0.884	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.111	0.889	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.108	0.892	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.106	0.893	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.098	0.902	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.098	0.902	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.095	0.905	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.093	0.907	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.083	0.917	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.918	0.082
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.080	0.920	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.076	0.923	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.067	0.933	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.062	0.938	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.061	0.939	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.055	0.945	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.053	0.946	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.052	0.948	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.047	0.952	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.044	0.956	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.040	0.960	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.039	0.961	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.037	0.963	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.037	0.963	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.036	0.964	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.035	0.965	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.027	0.972	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.018	0.981	0.000
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.000	0.983	0.017
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	0.987	0.013
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.013	0.987	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.013	0.987	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.012	0.988	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.012	0.988	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.989	0.011
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.989	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.009	0.991	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.009	0.991	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.009	0.991	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.007	0.992	0.000
rs2383876 lBF = `-0.0631562` Chr`8` : `74,066,179`	0.007	0.993	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.007	0.993	0.000
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.007	0.993	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs7009516 lBF = `-0.0314287` Chr`8` : `24,208,847`	0.000	0.995	0.005
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.004	0.996	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.996	0.004
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.004	0.996	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.004	0.996	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.003	0.997	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.000	0.997	0.003
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.003	0.997	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.003	0.997	0.000
rs17737465 lBF = `-0.114243` Chr`8` : `98,154,441`	0.000	0.997	0.003
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	0.997	0.002
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.997	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	0.998	0.002
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	0.998	0.002
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.002	0.998	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	0.998	0.002
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs6472903 lBF = `-0.0821263` Chr`8` : `76,230,301`	0.000	0.998	0.002
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs11779860 lBF = `-0.114845` Chr`8` : `98,850,330`	0.000	0.998	0.002
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.002	0.998	0.000
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.001	0.998	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.002	0.998	0.000
rs12545109 lBF = `0.282577` Chr`8` : `57,313,906`	0.000	0.998	0.002
rs11995824 lBF = `0.00378026` Chr`8` : `120,012,700`	0.002	0.998	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	0.998	0.002
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.002	0.998	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	0.998	0.002
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.001	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.001	0.999	0.000
rs17786744 lBF = `-0.0575992` Chr`8` : `23,777,006`	0.001	0.999	0.000
rs3864663 lBF = `-0.0649529` Chr`8` : `78,680,349`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs10109414 lBF = `-0.0599891` Chr`8` : `23,751,151`	0.001	0.999	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.001	0.999	0.000
rs11249878 lBF = `-0.0198982` Chr`8` : `8,550,255`	0.000	0.999	0.001
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.000	0.999	0.001
rs2916733 lBF = `-0.0629949` Chr`8` : `6,323,278`	0.001	0.999	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs13256369 lBF = `-0.0319504` Chr`8` : `8,577,379`	0.000	0.999	0.001
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.001	0.999	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	0.999	0.001
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2439312 lBF = `-0.0253318` Chr`8` : `32,412,359`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs3758086 lBF = `-0.0657234` Chr`8` : `23,714,992`	0.001	0.999	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.999	0.001
rs400824 lBF = `3.72898` Chr`8` : `81,357,702`	0.001	0.999	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
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rs7006687 lBF = `-0.0965045` Chr`8` : `18,233,582`	0.000	1.000	0.000
rs10503779 lBF = `14.6968` Chr`8` : `25,743,428`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	1.000	0.000
rs12716641 lBF = `0.251127` Chr`8` : `6,898,998`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.000	1.000	0.000
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.000	1.000	0.000
rs7843479 lBF = `-0.0814988` Chr`8` : `21,820,813`	0.000	1.000	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	1.000	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.000	1.000	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	1.000	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs10089517 lBF = `-0.0568592` Chr`8` : `60,178,721`	0.000	1.000	0.000
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.000	1.000	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.000	1.000	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs2218488 lBF = `-0.0211408` Chr`8` : `72,263,956`	0.000	1.000	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	1.000	0.000
rs4292676 lBF = `-0.069044` Chr`8` : `21,520,248`	0.000	1.000	0.000
rs2946505 lBF = `-0.0713648` Chr`8` : `12,811,152`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs4736192 lBF = `-0.0915727` Chr`8` : `139,979,825`	0.000	1.000	0.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	1.000	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs17359493 lBF = `0.171782` Chr`8` : `95,856,911`	0.000	1.000	0.000
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs7005606 lBF = `0.0301049` Chr`8` : `32,401,501`	0.000	1.000	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	1.000	0.000
rs1154053 lBF = `-0.0856882` Chr`8` : `4,285,390`	0.000	1.000	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs7832357 lBF = `8.58116` Chr`8` : `126,516,197`	0.000	1.000	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	1.000	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs4733601 lBF = `-0.0240629` Chr`8` : `129,269,466`	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
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs7011049 lBF = `-0.0709462` Chr`8` : `53,834,012`	0.000	1.000	0.000
rs17641971 lBF = `-0.0739026` Chr`8` : `49,884,817`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	1.000	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	1.000	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	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

0.8316

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3765

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9991

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9836

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9834

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9808

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9699

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9671

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9667

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9596

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9495

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9243

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9119

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9006

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8993

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8945

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8937

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8838

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8827

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8753

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8737

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8708

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8507

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8250

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7704

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7622

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7525

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7462

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7451

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7416

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7300

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6958

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6883

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6653

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6386

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5937

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5907

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5693

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5636

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5559

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5280

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5274

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5066

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5038

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4973

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4865

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4863

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4740

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4604

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4450

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4263

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4235

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4194

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4176

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4109

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3956

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3695

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3682

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3449

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3255

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3035

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2986

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2935

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2895

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2620

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2518

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2310

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2279

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2137

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1885

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1547

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1374

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1145

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0966

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0929

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0807

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0725

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0719

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0705

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0664

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0595

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0525

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0524

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`)