TreeWAS – [H50.1] Divergent concomitant strabismus

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
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.768	0.232	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.692	0.308	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.678	0.322	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.631	0.369	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.616	0.384	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.602	0.398	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.557	0.443	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.531	0.469	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.507	0.493	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.497	0.503	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.495	0.505	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.493	0.507	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.485	0.515	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.483	0.516	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.483	0.517	0.000
rs3138144 lBF = `1.55917` Chr`12` : `56,114,769`	0.000	0.518	0.482
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.481	0.519	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.473	0.527	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.472	0.528	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.472	0.528	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.463	0.537	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.463	0.537	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.459	0.541	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.459	0.541	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.457	0.543	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.457	0.543	0.000
rs3138141 lBF = `9.86503` Chr`12` : `56,115,778`	0.000	0.565	0.435
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.431	0.569	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.427	0.573	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.424	0.576	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.416	0.584	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.408	0.592	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.406	0.593	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.404	0.596	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.401	0.599	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.397	0.602	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.397	0.603	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.395	0.605	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.394	0.606	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.394	0.606	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.393	0.607	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.393	0.607	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.390	0.610	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.389	0.611	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.386	0.614	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.381	0.618	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.377	0.622	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.376	0.624	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.373	0.627	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.364	0.636	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.363	0.637	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.362	0.638	0.000
rs3138142 lBF = `10.3889` Chr`12` : `56,115,585`	0.000	0.641	0.359
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.356	0.643	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.356	0.644	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.354	0.646	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.349	0.651	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.348	0.652	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.348	0.652	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.345	0.654	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.342	0.658	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.340	0.659	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.341	0.659	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.336	0.664	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.335	0.665	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.333	0.667	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.331	0.668	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.324	0.676	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.323	0.677	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.318	0.682	0.000
rs56108400 lBF = `5.8095` Chr`12` : `56,213,297`	0.000	0.684	0.316
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.315	0.685	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.308	0.692	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.306	0.694	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.296	0.704	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.294	0.706	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.293	0.707	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.287	0.712	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.287	0.713	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.285	0.715	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.283	0.717	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.282	0.718	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.277	0.723	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.265	0.735	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.264	0.736	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.259	0.741	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.258	0.741	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.257	0.743	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.255	0.744	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.250	0.750	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.248	0.752	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.248	0.752	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.241	0.758	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.239	0.761	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.222	0.778	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.220	0.780	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.219	0.781	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.219	0.781	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.217	0.782	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.215	0.784	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.211	0.789	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.205	0.795	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.203	0.797	0.001
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.195	0.805	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.193	0.807	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.189	0.811	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.187	0.813	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.187	0.813	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.185	0.815	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.185	0.815	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.182	0.818	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.181	0.819	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.179	0.820	0.001
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.178	0.822	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.172	0.828	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.168	0.832	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.166	0.833	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.165	0.835	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.158	0.842	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.150	0.849	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.150	0.850	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.149	0.851	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.148	0.852	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.144	0.856	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.142	0.857	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.141	0.859	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.140	0.860	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.139	0.861	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.138	0.861	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.139	0.861	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.137	0.863	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.136	0.864	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.136	0.864	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.135	0.864	0.001
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.131	0.868	0.001
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.132	0.868	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.129	0.870	0.001
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.129	0.871	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.123	0.876	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.122	0.878	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.118	0.881	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.114	0.885	0.001
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.112	0.887	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.112	0.888	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.109	0.890	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.109	0.891	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.109	0.891	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.107	0.892	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.104	0.896	0.001
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.090	0.910	0.001
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.087	0.911	0.002
rs80130819 lBF = `1.17567` Chr`12` : `48,419,618`	0.000	0.913	0.087
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.086	0.914	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.084	0.915	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.082	0.916	0.002
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.083	0.917	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.081	0.918	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.080	0.919	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.080	0.920	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.080	0.920	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.079	0.921	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.075	0.924	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.074	0.926	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.073	0.927	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.072	0.928	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.067	0.932	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.066	0.934	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.065	0.935	0.000
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.064	0.936	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.062	0.938	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.062	0.938	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.061	0.939	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.060	0.939	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.051	0.948	0.001
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.050	0.950	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.047	0.953	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.045	0.954	0.001
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.044	0.956	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.041	0.959	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.038	0.962	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.037	0.963	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.034	0.966	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.033	0.967	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.033	0.967	0.000
rs12229663 lBF = `-0.0927172` Chr`12` : `71,249,996`	0.032	0.968	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.029	0.971	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.028	0.971	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.027	0.972	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.026	0.973	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.022	0.978	0.000
rs4766646 lBF = `-0.0886816` Chr`12` : `110,398,145`	0.022	0.978	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.021	0.979	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.019	0.981	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.019	0.981	0.000
rs2071449 lBF = `2.15334` Chr`12` : `54,428,011`	0.000	0.982	0.018
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.016	0.984	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.015	0.985	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.014	0.985	0.000
rs2887571 lBF = `-0.0393338` Chr`12` : `1,638,171`	0.013	0.987	0.000
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.012	0.987	0.000
rs10784281 lBF = `0.0223776` Chr`12` : `62,502,979`	0.013	0.987	0.000
rs10877792 lBF = `0.0340903` Chr`12` : `62,503,621`	0.012	0.988	0.000
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rs78791096 lBF = `0.0602953` Chr`12` : `13,536,146`	0.000	0.999	0.001
rs187039407 lBF = `0.0120709` Chr`12` : `87,341,774`	0.001	0.999	0.000
rs147616082 lBF = `0.00023933` Chr`12` : `67,181,789`	0.001	0.999	0.000
rs61943529 lBF = `0.0213403` Chr`12` : `118,601,856`	0.001	0.999	0.000
rs838886 lBF = `-0.0554773` Chr`12` : `125,264,287`	0.001	0.999	0.000
rs885389 lBF = `0.0604974` Chr`12` : `131,621,762`	0.001	0.999	0.000
rs3782724 lBF = `0.0398054` Chr`12` : `6,466,081`	0.000	0.999	0.001
rs2252518 lBF = `-0.0545461` Chr`12` : `52,381,026`	0.001	0.999	0.000
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.001	0.999	0.000
rs12423382 lBF = `0.0000625` Chr`12` : `16,179,371`	0.001	0.999	0.000
rs11066280 lBF = `0.00004018` Chr`12` : `112,817,783`	0.001	0.999	0.001
rs78852656 lBF = `0.00003558` Chr`12` : `119,619,997`	0.001	0.999	0.000
rs12302829 lBF = `0.00003088` Chr`12` : `5,140,484`	0.001	0.999	0.000
rs190262953 lBF = `0.00001109` Chr`12` : `91,825,974`	0.001	0.999	0.000
rs146978549 lBF = `0` Chr`12` : `17,049,912`	0.001	0.999	0.001
rs182408739 lBF = `0` Chr`12` : `65,726,649`	0.001	0.999	0.001
rs183884080 lBF = `0` Chr`12` : `68,621,977`	0.001	0.999	0.001
rs2300290 lBF = `0` Chr`12` : `15,735,442`	0.001	0.999	0.001
rs184061709 lBF = `0` Chr`12` : `22,462,278`	0.001	0.999	0.001
rs918304 lBF = `0` Chr`12` : `108,877,541`	0.001	0.999	0.001
rs2292664 lBF = `0` Chr`12` : `130,921,664`	0.001	0.999	0.001
rs11066015 lBF = `0` Chr`12` : `112,168,009`	0.001	0.999	0.001
rs143566192 lBF = `0` Chr`12` : `65,993,758`	0.001	0.999	0.001
rs12300553 lBF = `0` Chr`12` : `15,381,210`	0.001	0.999	0.001
rs12582168 lBF = `0` Chr`12` : `124,894,184`	0.001	0.999	0.001
rs3782886 lBF = `0` Chr`12` : `112,110,489`	0.001	0.999	0.001
rs143053231 lBF = `0` Chr`12` : `56,091,032`	0.001	0.999	0.001
rs191413231 lBF = `0` Chr`12` : `13,630,602`	0.001	0.999	0.001
rs4764124 lBF = `0` Chr`12` : `14,966,604`	0.001	0.999	0.001
rs191000678 lBF = `0` Chr`12` : `28,286,990`	0.001	0.999	0.001
rs137948794 lBF = `0` Chr`12` : `56,408,314`	0.001	0.999	0.001
rs10846617 lBF = `0` Chr`12` : `124,662,131`	0.001	0.999	0.001
rs2072134 lBF = `0` Chr`12` : `113,409,176`	0.001	0.999	0.001
rs111696067 lBF = `0` Chr`12` : `133,376,540`	0.001	0.999	0.001
rs139337462 lBF = `0` Chr`12` : `29,984,300`	0.001	0.999	0.001
rs671 lBF = `0` Chr`12` : `112,241,766`	0.001	0.999	0.001
rs17415853 lBF = `0` Chr`12` : `15,930,805`	0.001	0.999	0.001
rs182272664 lBF = `0` Chr`12` : `22,464,940`	0.001	0.999	0.001
rs185216905 lBF = `0` Chr`12` : `125,087,192`	0.001	0.999	0.001
rs2188380 lBF = `0` Chr`12` : `111,386,127`	0.001	0.999	0.001
rs193047854 lBF = `0` Chr`12` : `56,274,155`	0.001	0.999	0.001
rs11174436 lBF = `0` Chr`12` : `62,743,348`	0.001	0.999	0.001
rs12311304 lBF = `0` Chr`12` : `15,389,637`	0.001	0.999	0.001
rs2271266 lBF = `0` Chr`12` : `102,506,044`	0.001	0.999	0.001
rs192568883 lBF = `0` Chr`12` : `107,606,126`	0.001	0.999	0.001
rs34778348 lBF = `0` Chr`12` : `40,757,328`	0.001	0.999	0.001
rs143980687 lBF = `0` Chr`12` : `1,661,608`	0.001	0.999	0.001
rs4542491 lBF = `0` Chr`12` : `82,536,844`	0.001	0.999	0.001
rs7956634 lBF = `0` Chr`12` : `15,321,194`	0.001	0.999	0.001
rs1809889 lBF = `0` Chr`12` : `124,801,226`	0.001	0.999	0.001
rs188585019 lBF = `0` Chr`12` : `86,564,926`	0.001	0.999	0.001
rs151326733 lBF = `0` Chr`12` : `16,189,478`	0.001	0.999	0.001
rs141955301 lBF = `0` Chr`12` : `2,358,738`	0.001	0.999	0.001
rs138037897 lBF = `0` Chr`12` : `29,985,498`	0.001	0.999	0.001
rs2074356 lBF = `0` Chr`12` : `112,645,401`	0.001	0.999	0.001
rs117876032 lBF = `0` Chr`12` : `125,736,003`	0.001	0.999	0.001
rs139427007 lBF = `0` Chr`12` : `97,596,103`	0.001	0.999	0.001
rs11066453 lBF = `0` Chr`12` : `113,365,621`	0.001	0.999	0.001
rs1965221 lBF = `-0.0768289` Chr`12` : `95,975,038`	0.000	0.999	0.001
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.001	0.999	0.000
rs11833289 lBF = `-0.00000351` Chr`12` : `55,451,694`	0.001	0.999	0.000
rs8179116 lBF = `-0.00001761` Chr`12` : `109,025,427`	0.000	0.999	0.001
rs189340018 lBF = `-0.00002107` Chr`12` : `107,628,680`	0.001	0.999	0.000
rs147510300 lBF = `-0.0000275` Chr`12` : `86,318,548`	0.000	0.999	0.001
rs150696478 lBF = `-0.0000275` Chr`12` : `86,321,388`	0.000	0.999	0.001
rs12229654 lBF = `-0.00004675` Chr`12` : `111,414,461`	0.001	0.999	0.000
rs3026485 lBF = `-0.00004701` Chr`12` : `110,782,027`	0.000	0.999	0.001
rs7976059 lBF = `-0.0919263` Chr`12` : `52,251,272`	0.001	0.999	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.001	0.999	0.000
rs12425791 lBF = `0.00041025` Chr`12` : `783,484`	0.000	0.999	0.001
rs2367563 lBF = `0.156407` Chr`12` : `96,057,184`	0.001	0.999	0.000
rs17012589 lBF = `-0.0334918` Chr`12` : `85,516,904`	0.001	0.999	0.000
rs1881744 lBF = `-0.070381` Chr`12` : `47,814,972`	0.000	0.999	0.001
rs10878577 lBF = `-0.107296` Chr`12` : `67,593,841`	0.001	0.999	0.000
rs650694 lBF = `14.526` Chr`12` : `52,906,586`	0.000	0.999	0.001
rs10777165 lBF = `0.765632` Chr`12` : `89,840,865`	0.000	0.999	0.001
rs34245511 lBF = `0.0509607` Chr`12` : `50,573,433`	0.000	0.999	0.001
rs61941274 lBF = `0.00529695` Chr`12` : `112,132,610`	0.001	0.999	0.000
rs12810016 lBF = `0.00229369` Chr`12` : `83,308,363`	0.000	0.999	0.001
rs193153567 lBF = `-0.00029294` Chr`12` : `48,946,231`	0.001	0.999	0.000
rs10876432 lBF = `-0.00163782` Chr`12` : `53,731,891`	0.000	0.999	0.001
rs1564892 lBF = `0.0825706` Chr`12` : `104,445,742`	0.001	0.999	0.000
rs10772915 lBF = `-0.0259356` Chr`12` : `16,406,690`	0.001	0.999	0.000
rs4761053 lBF = `-0.0783304` Chr`12` : `128,506,201`	0.001	0.999	0.000
rs4326844 lBF = `0.0234596` Chr`12` : `54,736,470`	0.000	0.999	0.001
rs10773971 lBF = `-0.0157233` Chr`12` : `1,740,171`	0.001	0.999	0.000
rs10847980 lBF = `-0.0291399` Chr`12` : `123,387,922`	0.001	0.999	0.000
rs11114027 lBF = `-0.0369385` Chr`12` : `79,775,248`	0.001	0.999	0.000
rs10777709 lBF = `-0.0682852` Chr`12` : `95,975,986`	0.000	0.999	0.001
rs11175997 lBF = `12.485` Chr`12` : `66,401,444`	0.000	0.999	0.001
rs3827886 lBF = `0.0140917` Chr`12` : `14,660,184`	0.001	0.999	0.000
rs4251424 lBF = `-0.00048778` Chr`12` : `44,153,826`	0.001	0.999	0.000
rs187607716 lBF = `0.281898` Chr`12` : `91,487,517`	0.001	0.999	0.000
rs1513049 lBF = `0.00460279` Chr`12` : `17,362,816`	0.000	0.999	0.001
rs11177669 lBF = `-0.00206854` Chr`12` : `69,828,681`	0.000	0.999	0.001
rs59336 lBF = `3.99611` Chr`12` : `115,116,352`	0.000	0.999	0.001
rs79843055 lBF = `0.00066378` Chr`12` : `86,284,459`	0.001	0.999	0.000
rs10506328 lBF = `-0.0563244` Chr`12` : `54,687,232`	0.000	0.999	0.001
rs2069408 lBF = `3.65308` Chr`12` : `56,364,321`	0.001	0.999	0.000
rs2403106 lBF = `-0.0508285` Chr`12` : `84,008,275`	0.000	0.999	0.001

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9721

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9716

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9711

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9625

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9612

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9555

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9431

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9408

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9303

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9294

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9200

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9064

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9037

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8893

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8668

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8654

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8630

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8581

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8572

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8539

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8461

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8388

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8293

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7908

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7706

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7683

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7646

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7618

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7444

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7277

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7120

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7090

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6985

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6634

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6459

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6400

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6259

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6227

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6180

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6039

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5933

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5416

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5391

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5333

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5274

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5264

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5226

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5014

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4910

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4797

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4607

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4495

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4469

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4430

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4348

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4277

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4223

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3979

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3953

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3941

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3833

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3681

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3478

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3457

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3455

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3442

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3346

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3319

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3283

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3282

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3241

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3071

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3055

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2993

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2954

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2942

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2904

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2816

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2743

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2685

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2641

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2639

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2638

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2617

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2410

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2272

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2216

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2197

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2175

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2131

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2119

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2097

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2087

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1976

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1952

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1947

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1934

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1933

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1914

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1883

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1799

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1729

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1565

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1478

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1462

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1453

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1449

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1433

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1362

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1289

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1289

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1270

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1231

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1207

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1126

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1095

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1090

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1046

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1041

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1038

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1030

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1017

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1005

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0964

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0849

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0763

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0740

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0739

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0702

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0662

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0640

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0629

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0622

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0605

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0560

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0559

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0554

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0549

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0529

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0522

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0507

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`)