TreeWAS – [D31] Benign neoplasm of eye and adnexa

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D31

Benign neoplasm of eye and adnexa

Parent term	D10-D36 Benign neoplasms
Nested terms	D31.0 Conjunctiva D31.1 Cornea D31.2 Retina D31.3 Choroid D31.4 Ciliary body D31.5 Lachrymal gland and duct D31.6 Orbit, unspecified D31.9 Eye, unspecified

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.821	0.179	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.797	0.203	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.780	0.220	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.723	0.277	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.717	0.283	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.717	0.283	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.717	0.283	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.717	0.283	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.715	0.285	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.714	0.286	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.709	0.290	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.709	0.291	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.707	0.293	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.705	0.295	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.702	0.298	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.700	0.299	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.694	0.306	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.694	0.306	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.686	0.314	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.684	0.316	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.683	0.317	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.682	0.318	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.682	0.318	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.672	0.328	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.670	0.330	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.665	0.335	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.656	0.344	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.647	0.353	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.643	0.357	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.636	0.363	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.631	0.369	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.629	0.371	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.615	0.384	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.614	0.386	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.550	0.450	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.543	0.457	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.532	0.468	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.514	0.486	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.509	0.490	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.490	0.510	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.484	0.516	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.479	0.521	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.471	0.529	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.469	0.531	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.459	0.541	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.455	0.545	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.451	0.549	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.450	0.550	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.440	0.560	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.429	0.571	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.419	0.581	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.411	0.589	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.396	0.604	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.392	0.608	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.384	0.615	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.380	0.620	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.379	0.621	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.378	0.622	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.355	0.645	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.353	0.647	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.317	0.683	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.295	0.705	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.282	0.717	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.257	0.743	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.256	0.744	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.252	0.748	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.245	0.755	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.758	0.242
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.229	0.771	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.226	0.773	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.222	0.778	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.212	0.788	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.209	0.791	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.193	0.806	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.190	0.810	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.186	0.814	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.176	0.824	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.176	0.824	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.173	0.826	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.169	0.831	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.162	0.838	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.155	0.845	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.150	0.850	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.145	0.855	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.137	0.863	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.131	0.869	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.127	0.873	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.125	0.874	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.123	0.877	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.121	0.879	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.118	0.882	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.117	0.883	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.117	0.883	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.115	0.885	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.114	0.886	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.108	0.891	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.107	0.893	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.107	0.893	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.103	0.897	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.098	0.902	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.093	0.907	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.092	0.907	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.089	0.911	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.083	0.916	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.079	0.921	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.923	0.077
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.072	0.928	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.069	0.931	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.069	0.931	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.062	0.938	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.059	0.941	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.057	0.943	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.057	0.943	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.054	0.946	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.052	0.947	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.052	0.948	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.050	0.950	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.044	0.956	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.043	0.957	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.042	0.958	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.041	0.959	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.040	0.959	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.961	0.039
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.039	0.961	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.039	0.961	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.037	0.963	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.037	0.963	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.036	0.964	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.036	0.964	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.034	0.966	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.032	0.967	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.032	0.968	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.032	0.968	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.029	0.971	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.029	0.971	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.028	0.971	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.028	0.972	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.027	0.973	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.026	0.974	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.026	0.974	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.026	0.974	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.025	0.975	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.023	0.977	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.021	0.979	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.021	0.979	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.019	0.981	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.017	0.982	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.017	0.982	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.016	0.983	0.001
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.016	0.984	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.016	0.984	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.016	0.984	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.015	0.984	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.014	0.986	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.014	0.986	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.014	0.986	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.013	0.987	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.013	0.987	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.013	0.987	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.012	0.987	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.012	0.988	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.988	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.011	0.989	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.010	0.990	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.010	0.990	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.009	0.990	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.009	0.991	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.991	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.009	0.991	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.009	0.991	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.008	0.992	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.008	0.992	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.008	0.992	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.007	0.993	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.007	0.993	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.007	0.993	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.006	0.993	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.006	0.994	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.006	0.994	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.006	0.994	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.006	0.994	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.005	0.995	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.005	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.005	0.995	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.005	0.995	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.005	0.995	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.004	0.996	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.004	0.996	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.003	0.997	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.003	0.997	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	0.997	0.003
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.003	0.997	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.003	0.997	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.997	0.002
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.003	0.997	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.997	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.002	0.997	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.002	0.998	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.002	0.998	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.002	0.998	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.002	0.998	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.002	0.998	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.001	0.999	0.001
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.001	0.999	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.001	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs12680546 lBF = `-0.0687005` Chr`8` : `136,871,739`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.001	0.999	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	0.999	0.001
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	0.999	0.001
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.001	0.999	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	0.999	0.001
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.001	0.999	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs1456315 lBF = `-0.0458556` Chr`8` : `128,103,937`	0.001	0.999	0.000
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.001	0.999	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.001	0.999	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs13254738 lBF = `-0.0366046` Chr`8` : `128,104,343`	0.001	0.999	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	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
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
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
rs188858915 lBF = `0` Chr`8` : `6,494,833`	0.001	0.999	0.001
rs144222594 lBF = `0` Chr`8` : `12,931,504`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
rs76547188 lBF = `0` Chr`8` : `21,978,372`	0.001	0.999	0.001
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs7460090 lBF = `0` Chr`8` : `57,194,163`	0.001	0.999	0.001
rs113660214 lBF = `0` Chr`8` : `977,436`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
rs192994403 lBF = `0` Chr`8` : `76,211,333`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
rs111754512 lBF = `0` Chr`8` : `24,400,648`	0.001	0.999	0.001
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.000	0.999	0.001
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.001	0.999	0.000
rs183529902 lBF = `-0.00000969` Chr`8` : `35,880,032`	0.001	0.999	0.000
rs7004587 lBF = `-0.00002087` Chr`8` : `108,040,352`	0.000	0.999	0.001
rs138094162 lBF = `-0.00002448` Chr`8` : `6,489,568`	0.001	0.999	0.000
rs10107366 lBF = `-0.00003159` Chr`8` : `99,113,687`	0.001	0.999	0.000
rs151198427 lBF = `-0.00005693` Chr`8` : `68,351,787`	0.001	0.999	0.000
rs16902460 lBF = `-0.00013523` Chr`8` : `128,920,197`	0.001	0.999	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.001	0.999	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	0.999	0.001
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.000	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.000	0.999	0.001
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.001	0.999	0.000
rs2466035 lBF = `0.0722241` Chr`8` : `128,211,229`	0.000	0.999	0.001
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.001	0.999	0.000
rs60461555 lBF = `0.511141` Chr`8` : `60,599,331`	0.001	0.999	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.000	0.999	0.001
rs2066940 lBF = `-0.101765` Chr`8` : `21,190,268`	0.001	0.999	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.001	0.999	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	0.999	0.001
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	0.999	0.001
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.001	0.999	0.000
rs896854 lBF = `0.188603` Chr`8` : `95,960,511`	0.000	0.999	0.001
rs11782819 lBF = `0.0491903` Chr`8` : `10,334,781`	0.001	0.999	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.001	0.999	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.001	0.999	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.001	0.999	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.001	0.999	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.001	0.999	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.000	0.999	0.001
rs10504073 lBF = `-0.066873` Chr`8` : `50,024,944`	0.001	0.999	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.000	0.999	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	0.999	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.999	0.001
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	0.999	0.000
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.000	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	0.999	0.000
rs4737547 lBF = `0.194995` Chr`8` : `60,545,664`	0.001	0.999	0.000
rs4738393 lBF = `-0.0579748` Chr`8` : `56,599,777`	0.000	0.999	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.999	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.000	0.999	0.000
rs4738873 lBF = `-0.0431328` Chr`8` : `62,086,176`	0.000	0.999	0.000
rs7465272 lBF = `-0.0778937` Chr`8` : `143,691,838`	0.000	0.999	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	0.999	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	0.999	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	0.999	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.000	0.999	0.000
rs7463256 lBF = `-0.098473` Chr`8` : `23,101,620`	0.000	0.999	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.000	0.999	0.000
rs374810 lBF = `6.8979` Chr`8` : `109,096,029`	0.000	0.999	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	0.999	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.000	0.999	0.000
rs160441 lBF = `0.00901776` Chr`8` : `90,656,988`	0.000	0.999	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.000	1.000	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	1.000	0.000
rs11989782 lBF = `-0.0632344` Chr`8` : `121,694,650`	0.000	1.000	0.000
rs278567 lBF = `-0.0990952` Chr`8` : `94,169,350`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.000	1.000	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.000	1.000	0.000
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.000	1.000	0.000
rs1481757 lBF = `-0.0757042` Chr`8` : `31,967,958`	0.000	1.000	0.000
rs2514843 lBF = `6.52694` Chr`8` : `109,063,434`	0.000	1.000	0.000
rs7845219 lBF = `0.375637` Chr`8` : `95,937,502`	0.000	1.000	0.000
rs7833787 lBF = `0.110086` Chr`8` : `18,707,871`	0.000	1.000	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	1.000	0.000
rs7818382 lBF = `-0.0469083` Chr`8` : `96,054,000`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.000	1.000	0.000
rs1512268 lBF = `5.83166` Chr`8` : `23,526,463`	0.000	1.000	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs9792269 lBF = `-0.0139359` Chr`8` : `129,264,589`	0.000	1.000	0.000
rs2466067 lBF = `-0.0475776` Chr`8` : `32,437,994`	0.000	1.000	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.000	1.000	0.000
rs10106540 lBF = `-0.0881243` Chr`8` : `134,461,851`	0.000	1.000	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.000	1.000	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.000	1.000	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	1.000	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.000	1.000	0.000
rs10112481 lBF = `-0.0145767` Chr`8` : `4,875,172`	0.000	1.000	0.000
rs2627282 lBF = `-0.0260288` Chr`8` : `2,780,956`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs1393902 lBF = `1.75937` Chr`8` : `68,421,565`	0.000	1.000	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.000	1.000	0.000
rs12716641 lBF = `0.251127` Chr`8` : `6,898,998`	0.000	1.000	0.000
rs12679556 lBF = `0.196355` Chr`8` : `72,514,228`	0.000	1.000	0.000
rs16894459 lBF = `0.0605727` Chr`8` : `97,327,679`	0.000	1.000	0.000
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.000	1.000	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	1.000	0.000
rs2622590 lBF = `-0.0395154` Chr`8` : `56,358,274`	0.000	1.000	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	1.000	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	1.000	0.000
rs408506 lBF = `7.71018` Chr`8` : `109,154,233`	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
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.000	1.000	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	1.000	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	1.000	0.000
rs4424296 lBF = `0.0647184` Chr`8` : `120,013,276`	0.000	1.000	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.000	1.000	0.000
rs7846606 lBF = `0.0546693` Chr`8` : `77,507,613`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs959695 lBF = `-0.0580729` Chr`8` : `100,835,182`	0.000	1.000	0.000
rs4733770 lBF = `-0.0617633` Chr`8` : `131,152,665`	0.000	1.000	0.000
rs998731 lBF = `-0.0793837` Chr`8` : `81,095,395`	0.000	1.000	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.000	1.000	0.000
rs12682352 lBF = `3.18044` Chr`8` : `8,646,246`	0.000	1.000	0.000
rs1875714 lBF = `1.72401` Chr`8` : `68,427,547`	0.000	1.000	0.000
rs367543 lBF = `1.4055` Chr`8` : `9,034,148`	0.000	1.000	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs2062375 lBF = `0.412839` Chr`8` : `119,977,792`	0.000	1.000	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs2944755 lBF = `0.0852789` Chr`8` : `141,574,194`	0.000	1.000	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs11995824 lBF = `0.00378026` Chr`8` : `120,012,700`	0.000	1.000	0.000
rs10957550 lBF = `-0.00048974` Chr`8` : `72,294,588`	0.000	1.000	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	1.000	0.000
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	1.000	0.000
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs12676965 lBF = `-0.0503531` Chr`8` : `37,681,426`	0.000	1.000	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.000	1.000	0.000
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	1.000	0.000
rs7000447 lBF = `-0.0862948` Chr`8` : `131,523,283`	0.000	1.000	0.000
rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.000	1.000	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.000	1.000	0.000
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	1.000	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	1.000	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs611744 lBF = `7.81856` Chr`8` : `109,228,008`	0.000	1.000	0.000
rs631031 lBF = `7.78806` Chr`8` : `109,190,032`	0.000	1.000	0.000
rs7819412 lBF = `2.31897` Chr`8` : `11,045,161`	0.000	1.000	0.000
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.000	1.000	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	1.000	0.000
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	0.000	1.000	0.000
rs7012814 lBF = `0.264762` Chr`8` : `9,173,358`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.000	1.000	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.000	1.000	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.000	1.000	0.000
rs7829127 lBF = `-0.00677657` Chr`8` : `40,726,394`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	1.000	0.000
rs7003550 lBF = `-0.0225117` Chr`8` : `135,850,898`	0.000	1.000	0.000
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.000	1.000	0.000
rs13278529 lBF = `-0.045506` Chr`8` : `40,333,321`	0.000	1.000	0.000
rs12680109 lBF = `-0.0583257` Chr`8` : `70,809,261`	0.000	1.000	0.000
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs7840202 lBF = `-0.0841914` Chr`8` : `103,308,400`	0.000	1.000	0.000
rs4527850 lBF = `-0.0922114` Chr`8` : `134,196,849`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.000	1.000	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	1.000	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	1.000	0.000
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	1.000	0.000
rs6984242 lBF = `0.160784` Chr`8` : `60,700,469`	0.000	1.000	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	1.000	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.000	1.000	0.000
rs2450083 lBF = `0.118062` Chr`8` : `120,063,542`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs721399 lBF = `0.0880093` Chr`8` : `18,259,366`	0.000	1.000	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.000	1.000	0.000
rs1835740 lBF = `-0.018685` Chr`8` : `98,166,913`	0.000	1.000	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	1.000	0.000
rs2851394 lBF = `-0.0364814` Chr`8` : `107,579,392`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs2513900 lBF = `-0.0425096` Chr`8` : `103,800,298`	0.000	1.000	0.000
rs2251301 lBF = `-0.0460862` Chr`8` : `11,119,037`	0.000	1.000	0.000
rs11785622 lBF = `-0.0648869` Chr`8` : `99,317,739`	0.000	1.000	0.000
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	1.000	0.000
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.7203

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1901

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9941

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9891

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9710

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9613

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9517

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9466

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9449

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9414

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9365

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9319

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9254

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9172

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9158

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9105

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9090

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9000

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8965

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8930

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8885

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8755

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8752

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8645

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8603

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8381

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8316

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8310

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8261

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8180

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8173

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8170

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8168

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8001

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7998

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7981

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7972

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7943

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7939

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7907

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7885

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7854

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7845

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7815

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7787

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7778

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7684

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7598

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7530

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7493

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7473

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7304

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7276

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7231

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7167

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7167

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7167

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7166

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7166

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7164

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7162

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7141

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7138

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7135

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7109

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7088

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7057

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7053

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7025

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7003

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6910

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6873

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6872

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6770

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6761

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6757

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6660

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6622

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6570

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6546

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6450

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6440

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6408

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6282

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6270

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6243

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6222

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6041

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5284

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5194

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5048

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4850

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4696

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4691

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4537

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4469

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4430

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4373

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4251

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3995

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3866

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3532

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3224

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3032

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3025

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2979

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2966

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.2884

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2817

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2768

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2648

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2181

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2086

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1343

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1300

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1279

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1080

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1068

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0989

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0945

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0934

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0851

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0825

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0820

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0739

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0727

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0716

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0616

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0602

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0598

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0580

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0556

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0537

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0503

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)