TreeWAS – [K57.8] Diverticular disease of intestine, part unspecified, with perforation and abscess

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
rs2293889 lBF = `0.741129` Chr`8` : `116,599,199`	0.796	0.204	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.705	0.295	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.699	0.301	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.678	0.322	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.674	0.326	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.628	0.372	0.000
rs2071518 lBF = `4.45658` Chr`8` : `120,435,812`	0.000	0.379	0.620
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.587	0.413	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.541	0.458	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.480	0.520	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.473	0.527	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.463	0.537	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.440	0.560	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.415	0.584	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.401	0.599	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.392	0.608	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.377	0.623	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.370	0.630	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.340	0.660	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.333	0.666	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.309	0.691	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.308	0.692	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.307	0.693	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.305	0.695	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.290	0.710	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.272	0.728	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.263	0.737	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.249	0.751	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.244	0.756	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.240	0.760	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.229	0.771	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.217	0.783	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.198	0.802	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.194	0.805	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.192	0.808	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.183	0.817	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.182	0.818	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.164	0.836	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.163	0.837	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.160	0.839	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.155	0.845	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.147	0.853	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.145	0.855	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.143	0.857	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.140	0.860	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.125	0.875	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.123	0.877	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.121	0.879	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.120	0.880	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.119	0.881	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.114	0.886	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.110	0.890	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.089	0.911	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.086	0.913	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.083	0.917	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.081	0.918	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.079	0.921	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.078	0.922	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.076	0.924	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.073	0.927	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.071	0.929	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.071	0.929	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.066	0.934	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.065	0.934	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.064	0.936	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.061	0.939	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.059	0.940	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.057	0.943	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.056	0.944	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.001	0.945	0.054
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.054	0.946	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.053	0.947	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.947	0.052
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.050	0.950	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.045	0.955	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.041	0.959	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.039	0.961	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.039	0.961	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.039	0.961	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.037	0.963	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.036	0.964	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.035	0.964	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.033	0.967	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.031	0.969	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.029	0.971	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.028	0.971	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.027	0.973	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.024	0.976	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.010	0.977	0.014
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.023	0.977	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.023	0.977	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.023	0.977	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.022	0.977	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.022	0.978	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.021	0.978	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.020	0.980	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.020	0.980	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.019	0.981	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.018	0.981	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.013	0.987	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.011	0.988	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.011	0.988	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.011	0.989	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.011	0.989	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.010	0.989	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.991	0.009
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.009	0.991	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.991	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.008	0.991	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.991	0.008
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.008	0.991	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.008	0.992	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.008	0.992	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.008	0.992	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.007	0.992	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.007	0.993	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.007	0.993	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.007	0.993	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.006	0.993	0.000
rs7017914 lBF = `1.95556` Chr`8` : `71,591,203`	0.006	0.994	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.006	0.994	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.006	0.994	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.005	0.994	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.005	0.995	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.005	0.995	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.005	0.995	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.005	0.995	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.004	0.995	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.004	0.995	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.004	0.996	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.004	0.996	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.996	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.002	0.996	0.002
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.003	0.997	0.000
rs2513900 lBF = `-0.0425096` Chr`8` : `103,800,298`	0.000	0.997	0.003
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.003	0.997	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.003	0.997	0.000
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.000	0.997	0.003
rs12155623 lBF = `-0.0839085` Chr`8` : `49,812,201`	0.003	0.997	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.002	0.997	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.002	0.997	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.002	0.998	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.998	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.998	0.002
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.002	0.998	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.998	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.002	0.998	0.000
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.002	0.998	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs4875053 lBF = `-0.0791384` Chr`8` : `144,872,411`	0.002	0.998	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	0.998	0.002
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.000	0.998	0.001
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.001	0.998	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.998	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.001	0.999	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.999	0.001
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	0.999	0.001
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.001	0.999	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.001	0.999	0.000
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.001	0.999	0.000
rs4243849 lBF = `-0.0656984` Chr`8` : `136,713,137`	0.001	0.999	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.999	0.000
rs9657451 lBF = `-0.0524017` Chr`8` : `138,905,296`	0.000	0.999	0.001
rs903027 lBF = `0.0196467` Chr`8` : `62,409,428`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs9314308 lBF = `-0.0247094` Chr`8` : `25,544,679`	0.000	0.999	0.001
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs3019885 lBF = `-0.0732499` Chr`8` : `118,025,645`	0.000	0.999	0.001
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.001	0.999	0.000
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	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
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.001	0.999	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.999	0.001
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
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
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rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.000	1.000	0.000
rs16887244 lBF = `0.0893133` Chr`8` : `38,031,345`	0.000	1.000	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	1.000	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.000	1.000	0.000
rs13259853 lBF = `-0.100159` Chr`8` : `3,518,479`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	1.000	0.000
rs13275219 lBF = `6.32362` Chr`8` : `81,259,826`	0.000	1.000	0.000
rs4735053 lBF = `5.21769` Chr`8` : `109,260,776`	0.000	1.000	0.000
rs13281615 lBF = `3.28748` Chr`8` : `128,355,618`	0.000	1.000	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs34975555 lBF = `0.172615` Chr`8` : `17,858,297`	0.000	1.000	0.000
rs1454292 lBF = `0.028062` Chr`8` : `4,926,465`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs13328379 lBF = `-0.0113726` Chr`8` : `20,634,750`	0.000	1.000	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	1.000	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	1.000	0.000
rs10504073 lBF = `-0.066873` Chr`8` : `50,024,944`	0.000	1.000	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.000	1.000	0.000
rs1532278 lBF = `-0.0888109` Chr`8` : `27,466,315`	0.000	1.000	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.000	1.000	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.000	1.000	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	1.000	0.000
rs1512268 lBF = `5.83166` Chr`8` : `23,526,463`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.000	1.000	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	1.000	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	1.000	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	1.000	0.000
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	1.000	0.000
rs17311976 lBF = `0.14103` Chr`8` : `131,637,337`	0.000	1.000	0.000
rs7830933 lBF = `0.0906278` Chr`8` : `23,603,324`	0.000	1.000	0.000
rs7816924 lBF = `0.0429764` Chr`8` : `19,539,638`	0.000	1.000	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.000	1.000	0.000
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.000	1.000	0.000
rs144606178 lBF = `-0.0402931` Chr`8` : `1,299,878`	0.000	1.000	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.000	1.000	0.000
rs9331896 lBF = `-0.0684502` Chr`8` : `27,467,686`	0.000	1.000	0.000
rs10958369 lBF = `-0.0743503` Chr`8` : `54,410,208`	0.000	1.000	0.000
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	1.000	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	1.000	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.000	1.000	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.000	1.000	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs915650 lBF = `0.196888` Chr`8` : `37,657,526`	0.000	1.000	0.000
rs2946504 lBF = `0.0882884` Chr`8` : `12,811,580`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	1.000	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.000	1.000	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	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
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.000	1.000	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	1.000	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.000	1.000	0.000
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	1.000	0.000
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	0.000	1.000	0.000
rs2616978 lBF = `-0.0674609` Chr`8` : `4,478,344`	0.000	1.000	0.000
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	1.000	0.000
rs6984449 lBF = `-0.0801544` Chr`8` : `19,327,959`	0.000	1.000	0.000
rs218869 lBF = `-0.0912182` Chr`8` : `23,636,281`	0.000	1.000	0.000
rs7844723 lBF = `-0.113925` Chr`8` : `122,908,503`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	1.000	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	1.000	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	1.000	0.000
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.000	1.000	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
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
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	1.000	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	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 X0321

log Bayes Factor = 162.562

contains 1 variants

0.9370

Cluster X0313

log Bayes Factor = 43.6275

contains 4 variants

0.6370

Cluster X0207

log Bayes Factor = 94.6548

contains 2 variants

0.0835

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0168

log Bayes Factor = 118.571

contains 7 variants

0.9958

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9665

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9423

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9323

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8818

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8446

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8133

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8050

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7854

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7790

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7725

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7615

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7530

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6897

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.6082

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5966

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5767

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5404

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4979

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4962

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4376

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4259

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4206

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4179

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4127

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3871

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3837

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3826

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3642

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3513

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3234

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3134

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3120

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2999

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2693

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2566

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2191

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2021

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1987

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1899

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1889

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1821

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1724

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1716

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1627

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1618

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1605

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1594

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1485

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1445

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1398

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1258

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1108

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1088

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1046

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0962

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0943

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0937

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0789

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0753

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0748

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0624

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0620

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0600

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0598

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0542

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0525

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0505

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0503

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`)