TreeWAS – [N63] Unspecified lump in breast

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
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.902	0.098	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.886	0.114	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.880	0.120	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.870	0.130	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.867	0.133	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.858	0.142	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.847	0.153	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.835	0.165	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.808	0.192	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.806	0.194	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.782	0.218	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.777	0.223	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.761	0.239	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.721	0.279	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.708	0.292	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.707	0.293	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.703	0.297	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.682	0.318	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.661	0.339	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.658	0.342	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.628	0.372	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.594	0.406	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.584	0.416	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.576	0.424	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.572	0.428	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.567	0.433	0.000
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.000	0.437	0.563
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.557	0.443	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.519	0.481	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.512	0.487	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.508	0.492	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.479	0.521	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.465	0.535	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.446	0.554	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.444	0.556	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.431	0.569	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.420	0.580	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.415	0.584	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.390	0.610	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.389	0.611	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.381	0.619	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.377	0.623	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.377	0.623	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.372	0.628	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.368	0.632	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.364	0.636	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.343	0.657	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.339	0.661	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.331	0.669	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.324	0.675	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.321	0.679	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.302	0.698	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.300	0.700	0.001
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.295	0.704	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.290	0.710	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.281	0.719	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.280	0.720	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.278	0.722	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.271	0.729	0.001
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.270	0.729	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.267	0.732	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.256	0.744	0.001
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.250	0.750	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.239	0.761	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.236	0.764	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.233	0.767	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.229	0.771	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.226	0.774	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.224	0.776	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.215	0.785	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.207	0.792	0.001
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.206	0.793	0.001
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.206	0.794	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.204	0.796	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.203	0.796	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.203	0.797	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.195	0.804	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.193	0.807	0.001
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.185	0.815	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.183	0.817	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.181	0.819	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.179	0.821	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.170	0.829	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.165	0.835	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.162	0.838	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.161	0.838	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.161	0.839	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.152	0.847	0.001
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.151	0.848	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.150	0.850	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.145	0.855	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.133	0.867	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.125	0.875	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.121	0.879	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.120	0.880	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.120	0.880	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.117	0.883	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.114	0.885	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.114	0.885	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.114	0.886	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.108	0.891	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.107	0.892	0.001
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.100	0.899	0.001
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.091	0.909	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.091	0.909	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.089	0.911	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.087	0.912	0.001
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.088	0.912	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.075	0.923	0.002
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.075	0.924	0.001
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.075	0.925	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.070	0.930	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.931	0.068
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.063	0.936	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.062	0.937	0.001
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.061	0.939	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.061	0.939	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.032	0.942	0.025
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.052	0.948	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.051	0.949	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.047	0.953	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.046	0.954	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.045	0.955	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.045	0.955	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.040	0.960	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.037	0.961	0.003
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.037	0.961	0.002
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.036	0.964	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.964	0.036
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.032	0.965	0.003
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.032	0.968	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.032	0.968	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.031	0.969	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.029	0.971	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.026	0.973	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.027	0.973	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.026	0.974	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.025	0.975	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.025	0.975	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.020	0.980	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.018	0.981	0.001
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.017	0.983	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.017	0.983	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.017	0.983	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.016	0.984	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.015	0.984	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.015	0.985	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.015	0.985	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.014	0.986	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.014	0.986	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.014	0.986	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.013	0.986	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.986	0.014
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.013	0.987	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.013	0.987	0.000
rs12155789 lBF = `-0.0968561` Chr`8` : `22,643,707`	0.000	0.988	0.012
rs12541491 lBF = `3.13816` Chr`8` : `10,250,048`	0.011	0.989	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.010	0.989	0.001
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.011	0.989	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.011	0.989	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.010	0.989	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.010	0.990	0.000
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.010	0.990	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.009	0.990	0.001
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.009	0.991	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.008	0.992	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.008	0.992	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.008	0.992	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.008	0.992	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.007	0.993	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.007	0.993	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.007	0.993	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.007	0.993	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.007	0.993	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.006	0.993	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.006	0.993	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.006	0.994	0.001
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.006	0.994	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.006	0.994	0.000
rs310272 lBF = `-0.0279691` Chr`8` : `23,643,489`	0.006	0.994	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.005	0.994	0.001
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.006	0.994	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.006	0.994	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.005	0.994	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.005	0.995	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.005	0.995	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.005	0.995	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.005	0.995	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.005	0.995	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.005	0.995	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.005	0.995	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.005	0.995	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.004	0.995	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	0.996	0.004
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.004	0.996	0.001
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.004	0.996	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.004	0.996	0.000
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rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs218361 lBF = `-0.0958539` Chr`8` : `116,110,725`	0.000	1.000	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs7015657 lBF = `0.95006` Chr`8` : `20,967,551`	0.000	1.000	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.000	1.000	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs4072286 lBF = `-0.0969006` Chr`8` : `142,736,531`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	1.000	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.000	1.000	0.000
rs7003550 lBF = `-0.0225117` Chr`8` : `135,850,898`	0.000	1.000	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	1.000	0.000
rs656319 lBF = `2.6904` Chr`8` : `9,814,411`	0.000	1.000	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	1.000	0.000
rs408506 lBF = `7.71018` Chr`8` : `109,154,233`	0.000	1.000	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	1.000	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs11986414 lBF = `-0.00590791` Chr`8` : `1,746,950`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs1469039 lBF = `-0.0366272` Chr`8` : `140,651,779`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs643955 lBF = `3.05683` Chr`8` : `9,891,254`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs374810 lBF = `6.8979` Chr`8` : `109,096,029`	0.000	1.000	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs218869 lBF = `-0.0912182` Chr`8` : `23,636,281`	0.000	1.000	0.000
rs2046180 lBF = `-0.0951139` Chr`8` : `74,685,404`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs10435719 lBF = `2.63268` Chr`8` : `11,776,904`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs2449202 lBF = `-0.111218` Chr`8` : `3,507,129`	0.000	1.000	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	1.000	0.000
rs1393902 lBF = `1.75937` Chr`8` : `68,421,565`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	1.000	0.000
rs7820074 lBF = `-0.0388993` Chr`8` : `82,928,598`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.000	1.000	0.000
rs1875714 lBF = `1.72401` Chr`8` : `68,427,547`	0.000	1.000	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	1.000	0.000
rs112537273 lBF = `0.100864` Chr`8` : `38,248,306`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs11774212 lBF = `-0.0467484` Chr`8` : `145,686,505`	0.000	1.000	0.000
rs631031 lBF = `7.78806` Chr`8` : `109,190,032`	0.000	1.000	0.000
rs301 lBF = `5.37678` Chr`8` : `19,816,934`	0.000	1.000	0.000
rs10086908 lBF = `3.53715` Chr`8` : `128,011,937`	0.000	1.000	0.000
rs1562430 lBF = `2.29091` Chr`8` : `128,387,852`	0.000	1.000	0.000
rs367543 lBF = `1.4055` Chr`8` : `9,034,148`	0.000	1.000	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	1.000	0.000
rs16887244 lBF = `0.0893133` Chr`8` : `38,031,345`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	1.000	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	1.000	0.000
rs1154053 lBF = `-0.0856882` Chr`8` : `4,285,390`	0.000	1.000	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	1.000	0.000
rs17807624 lBF = `0.633807` Chr`8` : `11,463,015`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.000	1.000	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.000	1.000	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	1.000	0.000
rs6993449 lBF = `-0.0949468` Chr`8` : `108,281,427`	0.000	1.000	0.000
rs677330 lBF = `8.55621` Chr`8` : `109,177,572`	0.000	1.000	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	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

0.7349

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5654

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9999

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9959

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9731

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9607

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9549

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9413

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8853

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8754

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7618

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7534

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7529

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6712

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6206

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6160

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4704

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4405

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4050

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4027

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3721

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3234

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3191

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3042

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2998

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2996

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2670

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2525

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2455

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2416

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1885

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1876

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1838

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1798

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1788

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1744

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1541

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1198

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0992

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0947

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0918

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0809

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0567

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0552

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0511

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`)