TreeWAS – [K59.4] Anal spasm

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
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.706	0.294	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.694	0.306	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.615	0.385	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.614	0.386	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.597	0.403	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.593	0.407	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.587	0.413	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.586	0.414	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.553	0.447	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.544	0.456	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.502	0.498	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.475	0.525	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.470	0.529	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.461	0.538	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.444	0.556	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.429	0.571	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.420	0.580	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.413	0.587	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.412	0.588	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.410	0.590	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.388	0.612	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.371	0.628	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.371	0.629	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.365	0.635	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.358	0.641	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.358	0.641	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.358	0.642	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.340	0.660	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.334	0.666	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.320	0.680	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.320	0.680	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.315	0.685	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.313	0.687	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.312	0.688	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.303	0.697	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.296	0.704	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.279	0.721	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.279	0.721	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.275	0.725	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.274	0.726	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.244	0.756	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.236	0.764	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.206	0.793	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.200	0.800	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.196	0.804	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.192	0.808	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.178	0.821	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.174	0.826	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.166	0.834	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.162	0.838	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.157	0.843	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.156	0.844	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.150	0.850	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.148	0.852	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.143	0.857	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.142	0.858	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.134	0.866	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.133	0.867	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.133	0.867	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.131	0.869	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.130	0.870	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.118	0.882	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.115	0.884	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.101	0.899	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.100	0.900	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.097	0.903	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.095	0.904	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.092	0.908	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.089	0.910	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.088	0.911	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.085	0.915	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.081	0.919	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.075	0.925	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.075	0.925	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.073	0.927	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.063	0.937	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.062	0.938	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.060	0.939	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.942	0.058
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.057	0.943	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.055	0.945	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.946	0.054
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.052	0.948	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.045	0.955	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.045	0.955	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.044	0.956	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.043	0.957	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.042	0.958	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.041	0.959	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.040	0.960	0.001
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.038	0.962	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.038	0.962	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.036	0.964	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.036	0.964	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.030	0.970	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.027	0.973	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.027	0.973	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.026	0.974	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.025	0.975	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.024	0.975	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.024	0.976	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.020	0.980	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.019	0.981	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.018	0.982	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.018	0.982	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.017	0.983	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.016	0.983	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.015	0.985	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.014	0.986	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.013	0.987	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.012	0.987	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.012	0.987	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.012	0.988	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.011	0.988	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.011	0.989	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.010	0.990	0.001
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.010	0.990	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.010	0.990	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.990	0.009
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.009	0.991	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.008	0.991	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.008	0.992	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.008	0.992	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.008	0.992	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.008	0.992	0.001
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.007	0.993	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.007	0.993	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.005	0.995	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.005	0.995	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.004	0.995	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.004	0.995	0.001
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.996	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.004	0.996	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.004	0.996	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.003	0.996	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.004	0.996	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.003	0.996	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.003	0.996	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.003	0.997	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.003	0.997	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.003	0.997	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.997	0.000
rs7845219 lBF = `0.375637` Chr`8` : `95,937,502`	0.000	0.998	0.002
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.998	0.002
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.002	0.998	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.998	0.002
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.002	0.998	0.000
rs12545912 lBF = `0.193794` Chr`8` : `9,601,699`	0.000	0.998	0.002
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	0.998	0.001
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.998	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	0.998	0.001
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.001	0.998	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.001	0.998	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.999	0.000
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.000	0.999	0.001
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.001	0.999	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.001	0.999	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.001	0.999	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.001	0.999	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs11989843 lBF = `-0.0413911` Chr`8` : `118,150,993`	0.000	0.999	0.001
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.001	0.999	0.000
rs11782819 lBF = `0.0491903` Chr`8` : `10,334,781`	0.000	0.999	0.001
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.001	0.999	0.001
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	0.999	0.001
rs7846606 lBF = `0.0546693` Chr`8` : `77,507,613`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.001	0.999	0.000
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.000	0.999	0.001
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs2912522 lBF = `7.07022` Chr`8` : `69,992,380`	0.001	0.999	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	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
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	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
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
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rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.000	1.000	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	1.000	0.000
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.000	1.000	0.000
rs17739794 lBF = `-0.0209347` Chr`8` : `812,946`	0.000	1.000	0.000
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	1.000	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.000	1.000	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	1.000	0.000
rs34080186 lBF = `-0.0881148` Chr`8` : `110,070,486`	0.000	1.000	0.000
rs1961102 lBF = `-0.0915305` Chr`8` : `103,932,845`	0.000	1.000	0.000
rs12541335 lBF = `-0.0974774` Chr`8` : `22,088,432`	0.000	1.000	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	1.000	0.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.000	1.000	0.000
rs6469804 lBF = `0.816679` Chr`8` : `120,044,829`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	1.000	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.000	1.000	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	1.000	0.000
rs7833268 lBF = `0.129484` Chr`8` : `23,818,687`	0.000	1.000	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	1.000	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs10958605 lBF = `0.00350909` Chr`8` : `40,053,605`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	1.000	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.000	1.000	0.000
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.000	1.000	0.000
rs1395804 lBF = `-0.0661562` Chr`8` : `132,510,680`	0.000	1.000	0.000
rs10504073 lBF = `-0.066873` Chr`8` : `50,024,944`	0.000	1.000	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	1.000	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.000	1.000	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.000	1.000	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	1.000	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	1.000	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.000	1.000	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	1.000	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.000	1.000	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	1.000	0.000
rs12716641 lBF = `0.251127` Chr`8` : `6,898,998`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	1.000	0.000
rs903027 lBF = `0.0196467` Chr`8` : `62,409,428`	0.000	1.000	0.000
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs7461897 lBF = `-0.0288878` Chr`8` : `26,894,544`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs10957125 lBF = `-0.0793354` Chr`8` : `61,194,170`	0.000	1.000	0.000
rs11136000 lBF = `-0.0932441` Chr`8` : `27,464,519`	0.000	1.000	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.000	1.000	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	1.000	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	1.000	0.000
rs10503773 lBF = `5.9692` Chr`8` : `25,602,217`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	1.000	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.000	1.000	0.000
rs2437772 lBF = `1.06798` Chr`8` : `97,512,977`	0.000	1.000	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	1.000	0.000
rs2062377 lBF = `0.404128` Chr`8` : `120,007,420`	0.000	1.000	0.000
rs2085629 lBF = `0.278336` Chr`8` : `110,228,044`	0.000	1.000	0.000
rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	0.000	1.000	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.000	1.000	0.000
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	1.000	0.000
rs12547604 lBF = `0.0948587` Chr`8` : `4,860,491`	0.000	1.000	0.000
rs16887244 lBF = `0.0893133` Chr`8` : `38,031,345`	0.000	1.000	0.000
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.000	1.000	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	1.000	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs10108684 lBF = `0.0286393` Chr`8` : `123,973,068`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	1.000	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	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 X0150

log Bayes Factor = 861.091

contains 26 variants

0.9155

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8535

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8527

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8434

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8425

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8326

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8305

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7969

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7903

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7864

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7827

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7539

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7396

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7293

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7168

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7162

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7160

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7151

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7139

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7079

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7017

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7001

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6977

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6967

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6959

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6946

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6932

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6924

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6817

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6782

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6762

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6747

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6620

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6600

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6597

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6537

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6517

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6236

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6148

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5855

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5753

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5685

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5639

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5598

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5469

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5432

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5316

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5022

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4972

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4828

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4719

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4605

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4554

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4248

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4234

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4218

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4151

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4024

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3915

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3142

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2798

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2656

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2468

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1957

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1889

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1643

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1370

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1354

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1249

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1222

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1202

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1175

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1078

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1058

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1026

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0932

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0737

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0719

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0713

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0680

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0542

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`)