TreeWAS – [K63] Other diseases of intestine

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
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.966	0.034	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.955	0.045	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.941	0.059	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.876	0.124	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.815	0.185	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.772	0.228	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.754	0.246	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.731	0.269	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.722	0.278	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.720	0.280	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.694	0.306	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.693	0.307	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.689	0.311	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.680	0.320	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.613	0.387	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.573	0.427	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.561	0.439	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.558	0.442	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.558	0.442	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.540	0.460	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.536	0.464	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.529	0.471	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.508	0.492	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.494	0.506	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.489	0.511	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.472	0.528	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.461	0.539	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.437	0.563	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.434	0.566	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.381	0.619	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.633	0.367
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.357	0.643	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.346	0.654	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.337	0.663	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.321	0.679	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.315	0.685	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.315	0.685	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.311	0.689	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.310	0.690	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.303	0.697	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.292	0.707	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.290	0.709	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.271	0.729	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.271	0.729	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.232	0.768	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.226	0.774	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.205	0.795	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.203	0.797	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.193	0.807	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.186	0.814	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.182	0.818	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.177	0.823	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.176	0.824	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.173	0.827	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.173	0.827	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.168	0.832	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.168	0.832	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.163	0.837	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.155	0.844	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.153	0.846	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.153	0.847	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.123	0.877	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.123	0.877	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.108	0.892	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.102	0.898	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.100	0.900	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.090	0.910	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.083	0.917	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.083	0.917	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.082	0.918	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.081	0.919	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.921	0.079
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.923	0.077
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.076	0.924	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.072	0.928	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.068	0.932	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.064	0.935	0.001
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.063	0.937	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.060	0.940	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.055	0.945	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.048	0.952	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.047	0.953	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.045	0.955	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.041	0.959	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.041	0.959	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.040	0.960	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.039	0.961	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.036	0.964	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.036	0.964	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.036	0.964	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.034	0.966	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.032	0.968	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.031	0.969	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.030	0.970	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.030	0.970	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.029	0.971	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.029	0.971	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.025	0.975	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.024	0.976	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.024	0.976	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.024	0.976	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.024	0.976	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.023	0.976	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.022	0.978	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.021	0.979	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.019	0.981	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.018	0.982	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.017	0.983	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.016	0.984	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.015	0.985	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.015	0.985	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.015	0.985	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.014	0.985	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.014	0.986	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.986	0.014
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.014	0.986	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.014	0.986	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.014	0.986	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.013	0.987	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.012	0.988	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.011	0.989	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.011	0.989	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.010	0.990	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.009	0.991	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.009	0.991	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.009	0.991	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.009	0.991	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.009	0.991	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.008	0.992	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.008	0.992	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.007	0.993	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.006	0.994	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.006	0.994	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.006	0.994	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	0.994	0.006
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.006	0.994	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.006	0.994	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.004	0.995	0.001
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.005	0.995	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.995	0.005
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.004	0.995	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.004	0.996	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.004	0.996	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.003	0.997	0.000
rs16902328 lBF = `0.0227453` Chr`8` : `128,713,873`	0.003	0.997	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.002	0.998	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.998	0.002
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.998	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.002	0.998	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs272594 lBF = `-0.0153296` Chr`8` : `81,470,120`	0.000	0.998	0.002
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.998	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	0.998	0.002
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.001	0.998	0.001
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	0.000	0.998	0.002
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.002	0.998	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.999	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.001	0.999	0.001
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.001	0.999	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.001	0.999	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.001	0.999	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.001	0.999	0.001
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.001	0.999	0.001
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.001	0.999	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.001	0.999	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.001	0.999	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.000	0.999	0.001
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	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`	0.001	0.999	0.000
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
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rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	1.000	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	1.000	0.000
rs34975555 lBF = `0.172615` Chr`8` : `17,858,297`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs9297216 lBF = `-0.0266697` Chr`8` : `34,045,261`	0.000	1.000	0.000
rs16886173 lBF = `-0.0385252` Chr`8` : `115,620,460`	0.000	1.000	0.000
rs2251301 lBF = `-0.0460862` Chr`8` : `11,119,037`	0.000	1.000	0.000
rs7816032 lBF = `-0.0496174` Chr`8` : `19,786,891`	0.000	1.000	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	1.000	0.000
rs2383876 lBF = `-0.0631562` Chr`8` : `74,066,179`	0.000	1.000	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	1.000	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	1.000	0.000
rs10094872 lBF = `19.7764` Chr`8` : `128,719,884`	0.000	1.000	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.000	1.000	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs2517388 lBF = `0.210378` Chr`8` : `37,977,732`	0.000	1.000	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	1.000	0.000
rs11249878 lBF = `-0.0198982` Chr`8` : `8,550,255`	0.000	1.000	0.000
rs4875857 lBF = `-0.0289557` Chr`8` : `2,819,809`	0.000	1.000	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	1.000	0.000
rs12541335 lBF = `-0.0974774` Chr`8` : `22,088,432`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs7004633 lBF = `0.137936` Chr`8` : `89,760,311`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs6981717 lBF = `-0.00626097` Chr`8` : `89,188,454`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs6989684 lBF = `-0.00918676` Chr`8` : `120,143,039`	0.000	1.000	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	1.000	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	1.000	0.000
rs7843479 lBF = `-0.0814988` Chr`8` : `21,820,813`	0.000	1.000	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.000	1.000	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.000	1.000	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	1.000	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.000	1.000	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	1.000	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	1.000	0.000
rs17766217 lBF = `0.572149` Chr`8` : `128,504,497`	0.000	1.000	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.000	1.000	0.000
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.000	1.000	0.000
rs1425902 lBF = `0.126688` Chr`8` : `54,119,214`	0.000	1.000	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.000	1.000	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.000	1.000	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	1.000	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs4921617 lBF = `-0.0100612` Chr`8` : `18,782,047`	0.000	1.000	0.000
rs1835740 lBF = `-0.018685` Chr`8` : `98,166,913`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs2551043 lBF = `-0.0346339` Chr`8` : `3,189,896`	0.000	1.000	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

1.0000

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9991

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9980

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9967

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9966

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9930

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9901

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9893

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9852

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9684

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9574

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9561

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9483

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9232

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9093

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9061

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8940

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8906

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8603

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8388

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8156

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8097

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7814

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7699

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7632

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7270

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7148

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6993

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6889

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6348

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6162

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5586

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5399

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5194

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5018

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4664

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4414

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4384

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4033

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3418

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3411

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3357

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2833

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2142

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2091

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1977

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1917

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1814

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1777

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1727

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1492

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1456

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1453

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1337

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1328

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1292

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1195

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1044

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1030

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0858

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0757

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0719

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0671

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0662

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0628

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0598

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0589

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0513

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.

Parent term	K55-K64 Other diseases of intestines
Nested terms	K63.0 Abscess of intestine K63.1 Perforation of intestine (nontraumatic) K63.2 Fistula of intestine K63.3 Ulcer of intestine K63.4 Enteroptosis K63.5 Polyp of colon K63.8 Other specified diseases of intestine K63.9 Disease of intestine, unspecified

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`)