TreeWAS – [N74.8] Female pelvic inflammatory disorders in other diseases classified elsewhere

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
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.508	0.492	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.506	0.493	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.504	0.495	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.503	0.496	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.486	0.514	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.474	0.525	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.474	0.526	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.467	0.533	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.450	0.549	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.449	0.551	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.447	0.552	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.446	0.554	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.445	0.554	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.442	0.557	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.442	0.557	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.432	0.567	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.429	0.571	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.426	0.574	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.424	0.575	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.421	0.579	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.419	0.580	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.419	0.581	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.418	0.582	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.416	0.584	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.411	0.589	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.411	0.589	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.409	0.591	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.405	0.594	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.399	0.600	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.397	0.603	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.394	0.606	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.392	0.608	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.390	0.609	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.385	0.615	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.384	0.616	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.380	0.619	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.373	0.627	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.363	0.636	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.361	0.639	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.354	0.646	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.353	0.647	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.352	0.647	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.349	0.651	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.338	0.662	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.334	0.666	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.331	0.669	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.330	0.670	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.329	0.671	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.327	0.673	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.320	0.680	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.309	0.691	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.304	0.696	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.301	0.699	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.297	0.703	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.293	0.707	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.291	0.709	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.287	0.713	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.284	0.715	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.277	0.723	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.273	0.726	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.272	0.728	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.272	0.728	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.271	0.729	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.264	0.736	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.263	0.737	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.262	0.738	0.001
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.257	0.743	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.256	0.743	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.256	0.744	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.255	0.745	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.251	0.748	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.244	0.756	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.243	0.756	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.243	0.757	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.236	0.763	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.236	0.763	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.235	0.765	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.226	0.774	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.222	0.778	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.220	0.780	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.219	0.780	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.210	0.790	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.205	0.795	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.194	0.806	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.180	0.820	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.179	0.821	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.176	0.824	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.176	0.824	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.172	0.828	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.171	0.829	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.170	0.830	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.166	0.834	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.166	0.834	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.161	0.839	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.160	0.840	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.158	0.841	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.155	0.845	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.147	0.852	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.145	0.855	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.143	0.857	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.135	0.865	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.134	0.865	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.129	0.870	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.126	0.873	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.126	0.874	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.124	0.875	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.120	0.880	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.115	0.884	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.111	0.888	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.106	0.894	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.106	0.894	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.096	0.903	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.082	0.916	0.002
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.080	0.919	0.002
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.062	0.937	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.062	0.938	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.059	0.940	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.056	0.943	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.055	0.944	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.053	0.947	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.049	0.951	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.018	0.951	0.031
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.951	0.048
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.047	0.952	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.046	0.954	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.043	0.956	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.041	0.959	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.039	0.961	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.038	0.961	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.038	0.962	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.036	0.963	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.035	0.965	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.033	0.966	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.031	0.969	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.970	0.029
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.029	0.971	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.028	0.972	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.025	0.975	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.024	0.976	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.024	0.976	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.022	0.976	0.003
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.024	0.976	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.023	0.977	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.023	0.977	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.021	0.979	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.020	0.979	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.020	0.980	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.020	0.980	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.019	0.980	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.019	0.980	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.019	0.981	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.019	0.981	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.019	0.981	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.018	0.982	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.016	0.983	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.015	0.984	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.015	0.985	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.015	0.985	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.014	0.985	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.014	0.986	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.013	0.987	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.013	0.987	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.012	0.987	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.011	0.989	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.011	0.989	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.011	0.989	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.011	0.989	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.010	0.990	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.010	0.990	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.008	0.992	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.008	0.992	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.007	0.992	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.007	0.993	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.007	0.993	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.007	0.993	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.007	0.993	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.007	0.993	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.007	0.993	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.006	0.993	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.006	0.994	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.006	0.994	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.006	0.994	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.006	0.994	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.006	0.994	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.006	0.994	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.000	0.994	0.006
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.006	0.994	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.005	0.994	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.005	0.995	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.995	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.004	0.995	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.004	0.996	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.004	0.996	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.004	0.996	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.003	0.996	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.003	0.996	0.000
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rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.000	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.999	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	0.999	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	0.999	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	0.999	0.000
rs13277237 lBF = `-0.0240429` Chr`8` : `130,604,563`	0.000	0.999	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	0.999	0.000
rs677330 lBF = `8.55621` Chr`8` : `109,177,572`	0.000	0.999	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	0.999	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	0.999	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	0.999	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	0.999	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	0.999	0.000
rs7004520 lBF = `-0.05444` Chr`8` : `31,327,049`	0.000	0.999	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	0.999	0.000
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	0.999	0.000
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.000	0.999	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	0.999	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	0.999	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	0.999	0.000
rs2450083 lBF = `0.118062` Chr`8` : `120,063,542`	0.000	0.999	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	0.999	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	0.999	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	0.999	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	0.999	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	0.999	0.000
rs921720 lBF = `-0.07194` Chr`8` : `126,534,671`	0.000	0.999	0.000
rs10956252 lBF = `-0.0720595` Chr`8` : `126,536,137`	0.000	0.999	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	0.999	0.000
rs4735053 lBF = `5.21769` Chr`8` : `109,260,776`	0.000	0.999	0.000
rs1425902 lBF = `0.126688` Chr`8` : `54,119,214`	0.000	0.999	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	0.999	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	0.999	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	0.999	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	0.999	0.000
rs7011507 lBF = `-0.0303419` Chr`8` : `49,129,242`	0.000	0.999	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.999	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	0.999	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	0.999	0.000
rs2045084 lBF = `-0.0667958` Chr`8` : `144,693,839`	0.000	0.999	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	0.999	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	0.999	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	0.999	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.000	0.999	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	0.999	0.000
rs7825175 lBF = `0.161327` Chr`8` : `32,416,274`	0.000	0.999	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	0.999	0.000
rs112537273 lBF = `0.100864` Chr`8` : `38,248,306`	0.000	0.999	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	0.999	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.999	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	0.999	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	0.999	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	0.999	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	0.999	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	0.999	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	0.999	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	0.999	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	0.999	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	0.999	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	0.999	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.999	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	0.999	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.000	0.999	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	0.999	0.000
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.000	0.999	0.000
rs7830371 lBF = `-0.0821378` Chr`8` : `62,055,667`	0.000	0.999	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	0.999	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.999	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	0.999	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	0.999	0.000
rs2514843 lBF = `6.52694` Chr`8` : `109,063,434`	0.000	0.999	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	0.999	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	0.999	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	0.999	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	0.999	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.000	0.999	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	0.999	0.000
rs11777747 lBF = `0.144313` Chr`8` : `142,466,821`	0.000	0.999	0.000
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	0.999	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	0.999	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	0.999	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.999	0.000
rs7011192 lBF = `0.0144292` Chr`8` : `10,535,377`	0.000	0.999	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	0.999	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	0.999	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	0.999	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	0.999	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2797

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1765

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5140

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5140

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5140

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5139

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5139

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5139

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5139

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5139

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5138

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5138

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5137

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5136

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5135

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5135

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5134

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5134

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5131

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5131

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5131

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5131

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5131

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5130

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5129

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5128

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5128

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5128

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5125

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5121

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5121

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5121

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5119

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5115

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5114

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5112

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5106

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5106

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5105

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5105

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5103

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5103

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5100

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5100

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5093

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5092

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5090

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.5089

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5086

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5082

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5082

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5080

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5076

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5071

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5067

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5066

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5058

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5054

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5051

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5043

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5039

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5019

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5017

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5001

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4997

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4942

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4936

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4906

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4901

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4889

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4889

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4868

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4865

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4862

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4817

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4815

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4807

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4798

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4686

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4516

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4501

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4460

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4446

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4107

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4083

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3913

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3860

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3768

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3758

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3635

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3599

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3437

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3343

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3216

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3133

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3044

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2995

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2963

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2868

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2776

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2758

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2747

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2739

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2703

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2695

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2636

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2559

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2407

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2303

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2234

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2233

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2173

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2095

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1900

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1843

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1603

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1431

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1419

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0924

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0889

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0801

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0770

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0706

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0661

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0628

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0509

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`)