TreeWAS – [N37] Urethral disorders in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N37

Urethral disorders in diseases classified elsewhere

Parent term	N30-N39 Other diseases of urinary system
Nested terms	N37.0 Urethritis in diseases classified elsewhere N37.8 Other urethral disorders in diseases classified elsewhere

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Variant effects

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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
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.717	0.283	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.717	0.283	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.716	0.284	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.713	0.287	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.713	0.287	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.711	0.289	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.710	0.290	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.706	0.294	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.706	0.294	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.703	0.297	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.702	0.298	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.699	0.301	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.697	0.303	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.692	0.308	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.675	0.324	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.665	0.334	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.664	0.336	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.662	0.338	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.661	0.339	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.656	0.344	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.644	0.356	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.641	0.359	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.638	0.362	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.625	0.375	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.603	0.397	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.587	0.413	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.585	0.415	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.576	0.424	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.572	0.428	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.571	0.429	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.564	0.436	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.553	0.447	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.552	0.447	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.540	0.460	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.536	0.464	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.466	0.534	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.449	0.551	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.443	0.557	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.430	0.570	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.424	0.576	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.418	0.582	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.414	0.586	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.392	0.608	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.380	0.619	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.360	0.640	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.359	0.641	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.357	0.643	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.349	0.651	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.338	0.662	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.327	0.673	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.319	0.681	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.313	0.687	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.308	0.692	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.287	0.713	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.282	0.717	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.282	0.718	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.278	0.721	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.267	0.733	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.257	0.743	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.244	0.756	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.242	0.758	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.240	0.760	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.238	0.762	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.235	0.765	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.231	0.769	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.219	0.781	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.212	0.788	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.210	0.790	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.208	0.791	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.207	0.793	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.194	0.806	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.193	0.807	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.191	0.809	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.187	0.813	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.186	0.814	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.186	0.814	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.180	0.820	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.179	0.821	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.176	0.824	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.174	0.825	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.171	0.829	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.162	0.838	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.150	0.849	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.134	0.866	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.121	0.879	0.001
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.120	0.880	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.104	0.896	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.100	0.899	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.099	0.901	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.098	0.902	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.097	0.902	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.093	0.906	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.089	0.911	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.088	0.912	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.086	0.913	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.081	0.919	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.079	0.921	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.078	0.921	0.001
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.078	0.922	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.075	0.925	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.926	0.073
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.068	0.932	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.068	0.932	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.067	0.933	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.066	0.934	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.063	0.937	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.022	0.938	0.041
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.061	0.938	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.061	0.938	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.053	0.944	0.003
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.056	0.944	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.055	0.944	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.945	0.055
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.052	0.948	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.051	0.949	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.050	0.950	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.048	0.952	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.045	0.955	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.045	0.955	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.041	0.958	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.041	0.959	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.040	0.960	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.036	0.964	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.036	0.964	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.033	0.967	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.033	0.967	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.032	0.968	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.031	0.969	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.027	0.973	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.026	0.974	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.026	0.974	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.026	0.974	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.026	0.974	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.025	0.975	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.024	0.976	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.022	0.977	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.017	0.978	0.005
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.019	0.980	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.019	0.981	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.016	0.982	0.002
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.017	0.983	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.017	0.983	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.017	0.983	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.017	0.983	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.016	0.984	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.015	0.984	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.015	0.985	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.014	0.986	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.014	0.986	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.013	0.987	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.013	0.987	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.013	0.987	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.011	0.988	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.011	0.989	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.011	0.989	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.010	0.989	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.010	0.990	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.010	0.990	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.010	0.990	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.010	0.990	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.008	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.008	0.992	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.008	0.992	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.007	0.993	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.007	0.993	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.007	0.993	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.006	0.994	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	0.994	0.006
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.006	0.994	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.006	0.994	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.005	0.995	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.005	0.995	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.005	0.995	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.004	0.995	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.004	0.996	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.003	0.996	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.003	0.996	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.003	0.997	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.003	0.997	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.997	0.003
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.003	0.997	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.003	0.997	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs17412740 lBF = `-0.0262207` Chr`8` : `20,246,758`	0.002	0.997	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.997	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.002	0.998	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
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rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs7461897 lBF = `-0.0288878` Chr`8` : `26,894,544`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs2860223 lBF = `-0.0335866` Chr`8` : `134,668,677`	0.000	1.000	0.000
rs279612 lBF = `-0.0391292` Chr`8` : `122,706,291`	0.000	1.000	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	1.000	0.000
rs12676965 lBF = `-0.0503531` Chr`8` : `37,681,426`	0.000	1.000	0.000
rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	1.000	0.000
rs3019885 lBF = `-0.0732499` Chr`8` : `118,025,645`	0.000	1.000	0.000
rs2622633 lBF = `-0.109404` Chr`8` : `106,509,975`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	1.000	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.000	1.000	0.000
rs328 lBF = `4.32431` Chr`8` : `19,819,724`	0.000	1.000	0.000
rs13254990 lBF = `3.78886` Chr`8` : `129,076,451`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	1.000	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	1.000	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	1.000	0.000
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.000	1.000	0.000
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.000	1.000	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.000	1.000	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	1.000	0.000
rs7837045 lBF = `1.20142` Chr`8` : `142,540,925`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	1.000	0.000
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.000	1.000	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	1.000	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	1.000	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs1585518 lBF = `0.0706345` Chr`8` : `120,475,238`	0.000	1.000	0.000
rs17189216 lBF = `0.067456` Chr`8` : `120,448,932`	0.000	1.000	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.000	1.000	0.000
rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs7005606 lBF = `0.0301049` Chr`8` : `32,401,501`	0.000	1.000	0.000
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.000	1.000	0.000
rs2439302 lBF = `0.0218333` Chr`8` : `32,432,369`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs272594 lBF = `-0.0153296` Chr`8` : `81,470,120`	0.000	1.000	0.000
rs3105169 lBF = `-0.0153825` Chr`8` : `100,495,639`	0.000	1.000	0.000
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs2003880 lBF = `-0.0164642` Chr`8` : `6,788,102`	0.000	1.000	0.000
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	1.000	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.000	1.000	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs2627282 lBF = `-0.0260288` Chr`8` : `2,780,956`	0.000	1.000	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	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
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.000	1.000	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	1.000	0.000
rs4738873 lBF = `-0.0431328` Chr`8` : `62,086,176`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.000	1.000	0.000
rs2916733 lBF = `-0.0629949` Chr`8` : `6,323,278`	0.000	1.000	0.000
rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.000	1.000	0.000
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.000	1.000	0.000
rs1387221 lBF = `-0.0694636` Chr`8` : `59,601,557`	0.000	1.000	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.000	1.000	0.000
rs4736192 lBF = `-0.0915727` Chr`8` : `139,979,825`	0.000	1.000	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	1.000	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	1.000	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	1.000	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.000	1.000	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	1.000	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	1.000	0.000
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.000	1.000	0.000
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.000	1.000	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	1.000	0.000
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs2954020 lBF = `28.9243` Chr`8` : `126,481,952`	0.000	1.000	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	1.000	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7169

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7145

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0717

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7164

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7163

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7161

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7158

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7156

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7152

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7152

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7151

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7147

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7143

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7142

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7122

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7115

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7094

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7090

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7087

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7052

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7019

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7007

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7004

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6964

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6958

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6957

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6881

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6853

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6714

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6696

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6633

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6604

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6569

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6560

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6367

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6358

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6266

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6190

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6166

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6016

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5970

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5929

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5871

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5751

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5646

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5497

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5384

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5321

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5313

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5144

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4797

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4698

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4684

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4650

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4618

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4557

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4450

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4265

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4130

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4040

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4005

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3923

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3700

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3386

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3367

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3342

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3340

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3032

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2841

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2824

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2738

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2649

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2577

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2480

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2429

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2411

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2393

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2371

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2160

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2076

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1912

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1841

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1674

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1458

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1358

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1225

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1192

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1038

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0982

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0967

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0905

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0829

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0827

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0819

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0813

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0797

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0753

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0715

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0703

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0688

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0656

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0628

Cluster X0183

log Bayes Factor = 32.7444

contains 2 variants

0.0616

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0614

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0592

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0579

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0556

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0545

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0527

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)

Hospitalization Episode Statistics (`HES`)