TreeWAS – [K91.2] Postsurgical malabsorption, not elsewhere classified

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
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.693	0.306	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.646	0.354	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.627	0.373	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.617	0.383	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.615	0.384	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.604	0.396	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.594	0.406	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.588	0.412	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.582	0.418	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.582	0.418	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.572	0.428	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.564	0.436	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.545	0.455	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.526	0.474	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.525	0.475	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.525	0.475	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.522	0.478	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.503	0.497	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.501	0.499	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.470	0.529	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.470	0.529	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.466	0.534	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.457	0.543	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.456	0.543	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.454	0.546	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.451	0.548	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.433	0.567	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.424	0.576	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.418	0.581	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.418	0.582	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.417	0.583	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.414	0.586	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.413	0.587	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.408	0.592	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.399	0.601	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.397	0.603	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.395	0.604	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.393	0.607	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.375	0.624	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.625	0.374
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.370	0.629	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.364	0.636	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.361	0.639	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.359	0.641	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.350	0.650	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.345	0.654	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.343	0.657	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.342	0.658	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.325	0.675	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.321	0.678	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.318	0.682	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.302	0.697	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.298	0.702	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.294	0.705	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.293	0.707	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.292	0.708	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.291	0.708	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.289	0.711	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.285	0.714	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.282	0.718	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.281	0.719	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.278	0.722	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.275	0.725	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.265	0.734	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.245	0.755	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.243	0.757	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.239	0.761	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.238	0.762	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.234	0.765	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.232	0.768	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.231	0.768	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.229	0.771	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.223	0.777	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.206	0.794	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.202	0.798	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.195	0.805	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.191	0.808	0.001
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.189	0.810	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.187	0.813	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.001	0.814	0.185
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.182	0.817	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.180	0.820	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.172	0.828	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.167	0.832	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.159	0.841	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.151	0.849	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.144	0.856	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.133	0.867	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.129	0.870	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.126	0.874	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.121	0.879	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.114	0.885	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.111	0.889	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.110	0.890	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.107	0.892	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.106	0.893	0.001
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.104	0.895	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.097	0.903	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.096	0.903	0.001
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.096	0.904	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.090	0.910	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.087	0.913	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.082	0.917	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.077	0.922	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.077	0.923	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.074	0.926	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.074	0.926	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.072	0.928	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.071	0.929	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.930	0.070
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.068	0.932	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.064	0.936	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.062	0.938	0.001
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.060	0.940	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.059	0.940	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.058	0.942	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.053	0.946	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.053	0.947	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.051	0.948	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.051	0.949	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.050	0.949	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.951	0.048
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.048	0.951	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.047	0.953	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.045	0.955	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.042	0.957	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.041	0.959	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.039	0.960	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.033	0.967	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.031	0.967	0.001
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.031	0.968	0.001
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.028	0.971	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.028	0.972	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.027	0.972	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.021	0.978	0.001
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.020	0.980	0.001
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.020	0.980	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.018	0.982	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.016	0.984	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.015	0.985	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.014	0.985	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.014	0.986	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.013	0.986	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.013	0.986	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.013	0.987	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.013	0.987	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.012	0.988	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.012	0.988	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.012	0.988	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.011	0.988	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.011	0.989	0.000
rs12676965 lBF = `-0.0503531` Chr`8` : `37,681,426`	0.011	0.989	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.010	0.989	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.010	0.990	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.010	0.990	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.010	0.990	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.009	0.991	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	0.000	0.992	0.008
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.992	0.008
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.001	0.992	0.008
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.008	0.992	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.007	0.992	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.007	0.993	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.007	0.993	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.993	0.007
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.006	0.993	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.006	0.994	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.006	0.994	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.005	0.994	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.005	0.994	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	0.995	0.005
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.005	0.995	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.995	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.005	0.995	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.005	0.995	0.000
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.000	0.995	0.005
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.004	0.995	0.000
rs907121 lBF = `0.11678` Chr`8` : `122,963,215`	0.000	0.995	0.005
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	0.995	0.005
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.996	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.004	0.996	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.004	0.996	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.004	0.996	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.004	0.996	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	0.996	0.004
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.996	0.004
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.996	0.004
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	0.996	0.004
rs10505574 lBF = `-0.0558895` Chr`8` : `132,472,102`	0.000	0.996	0.004
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.996	0.004
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.004	0.996	0.000
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.003	0.996	0.000
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.003	0.996	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.003	0.996	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.003	0.997	0.001
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.003	0.997	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.997	0.003
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rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.001	0.999	0.000
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	0.000	0.999	0.001
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.001	0.999	0.000
rs4732957 lBF = `-0.0504621` Chr`8` : `26,718,880`	0.000	0.999	0.001
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.001	0.999	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.001	0.999	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	0.999	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	0.999	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.000	0.999	0.001
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	0.999	0.001
rs3105169 lBF = `-0.0153825` Chr`8` : `100,495,639`	0.001	0.999	0.000
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.000	0.999	0.001
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	0.999	0.001
rs9886428 lBF = `-0.114257` Chr`8` : `14,113,816`	0.000	0.999	0.001
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.001	0.999	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	0.999	0.001
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.001	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.001
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.001	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.000	0.999	0.001
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	0.999	0.001
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.001	0.999	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.001	0.999	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	0.999	0.001
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	0.999	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	0.999	0.001
rs6985109 lBF = `5.33563` Chr`8` : `10,761,585`	0.001	0.999	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.001	0.999	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	0.999	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	0.999	0.001
rs4295627 lBF = `-0.0634004` Chr`8` : `130,685,457`	0.001	0.999	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.001	0.999	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.001	0.999	0.000
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.000	0.999	0.001
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.001	0.999	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	0.999	0.001
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.001	0.999	0.000
rs6990042 lBF = `-0.077602` Chr`8` : `14,173,974`	0.001	0.999	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	0.999	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.000	0.999	0.000
rs17189216 lBF = `0.067456` Chr`8` : `120,448,932`	0.000	0.999	0.001
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.001	0.999	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	0.999	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.000	0.999	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	0.999	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	0.999	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	0.999	0.000
rs569688 lBF = `0.00507678` Chr`8` : `60,961,821`	0.000	0.999	0.001
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	0.999	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs2738113 lBF = `-0.0948756` Chr`8` : `6,829,085`	0.000	0.999	0.001
rs10094872 lBF = `19.7764` Chr`8` : `128,719,884`	0.000	0.999	0.001
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.999	0.001
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	0.999	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.001	0.999	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	0.999	0.000
rs12548021 lBF = `-0.0827183` Chr`8` : `29,344,462`	0.000	0.999	0.001
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.000	0.999	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	0.999	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.000	0.999	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.000	0.999	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	0.999	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	0.999	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	0.999	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	0.999	0.000
rs11203649 lBF = `-0.0247623` Chr`8` : `14,517,294`	0.000	0.999	0.000
rs2383876 lBF = `-0.0631562` Chr`8` : `74,066,179`	0.000	0.999	0.001
rs278567 lBF = `-0.0990952` Chr`8` : `94,169,350`	0.000	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.001	0.999	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	0.999	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	0.999	0.000
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.001	0.999	0.000
rs721399 lBF = `0.0880093` Chr`8` : `18,259,366`	0.000	0.999	0.001
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.001	0.999	0.000
rs11985951 lBF = `-0.01452` Chr`8` : `20,592,509`	0.000	0.999	0.000
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	0.999	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.000	0.999	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	0.999	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	0.999	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.000	0.999	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	0.999	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	0.999	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	0.999	0.000
rs7819412 lBF = `2.31897` Chr`8` : `11,045,161`	0.000	0.999	0.001
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	0.999	0.001
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	0.999	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	0.999	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	0.999	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.2903

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9367

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9027

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8797

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8772

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7753

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7168

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7167

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7167

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7167

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7165

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7163

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7160

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7160

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7157

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7152

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7148

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7148

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7143

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7128

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7080

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7055

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7041

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6993

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6988

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6917

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6808

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6779

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6771

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6714

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6701

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6691

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6667

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6654

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6629

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6614

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6486

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6421

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6384

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6360

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6331

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6296

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6273

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6044

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6017

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5981

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5946

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5908

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5761

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5759

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5622

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5620

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5586

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5579

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5469

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5349

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5272

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5256

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5182

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5130

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5082

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4937

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4866

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4846

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4789

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4534

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4507

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3869

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3845

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3725

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3513

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3424

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3390

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3254

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3113

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3053

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3041

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3003

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2965

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2807

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2564

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2467

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2401

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2353

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2339

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2325

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2267

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2257

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2249

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2248

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2217

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2183

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2067

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2021

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1947

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1878

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1859

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1822

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1818

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1718

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1687

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1637

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1517

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1497

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1386

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1380

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1247

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1240

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1230

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1228

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1150

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1042

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0973

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0958

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0904

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0891

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0872

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0865

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0841

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0802

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0779

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0766

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0716

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0691

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0683

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0683

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0667

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0665

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0615

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0599

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0566

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0553

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0542

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0533

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0532

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0528

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`)