TreeWAS – [K55.2] Angiodysplasia of colon

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
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.752	0.248	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.645	0.354	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.608	0.392	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.603	0.397	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.559	0.441	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.550	0.450	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.542	0.458	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.513	0.486	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.505	0.495	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.498	0.502	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.482	0.518	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.470	0.530	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.458	0.541	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.455	0.545	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.450	0.550	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.445	0.554	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.442	0.558	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.436	0.564	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.434	0.565	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.428	0.572	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.420	0.580	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.395	0.604	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.375	0.625	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.360	0.639	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.332	0.668	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.328	0.672	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.327	0.673	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.325	0.674	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.322	0.678	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.313	0.687	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.289	0.711	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.280	0.720	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.276	0.723	0.001
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.263	0.737	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.262	0.738	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.256	0.744	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.237	0.763	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.227	0.773	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.225	0.775	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.221	0.778	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.191	0.809	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.188	0.812	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.174	0.826	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.154	0.845	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.141	0.859	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.141	0.859	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.132	0.867	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.130	0.869	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.130	0.870	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.109	0.891	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.108	0.892	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.103	0.897	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.092	0.908	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.084	0.915	0.001
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.080	0.919	0.001
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.079	0.920	0.001
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.079	0.921	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.076	0.924	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.075	0.925	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.071	0.928	0.001
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.071	0.929	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.063	0.937	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.058	0.942	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.055	0.945	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.051	0.949	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.050	0.950	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.049	0.950	0.001
rs4767325 lBF = `6.4825` Chr`12` : `115,924,093`	0.050	0.950	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.046	0.954	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.045	0.955	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.044	0.956	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.043	0.957	0.000
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.040	0.960	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.039	0.960	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.039	0.961	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.039	0.961	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.038	0.962	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.035	0.965	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.034	0.965	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.033	0.966	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.031	0.968	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.031	0.969	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.029	0.969	0.002
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.030	0.969	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.030	0.970	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.028	0.972	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.027	0.973	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.027	0.973	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.026	0.973	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.026	0.973	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.025	0.975	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.022	0.977	0.001
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.022	0.977	0.001
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.022	0.978	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.021	0.979	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.021	0.979	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.020	0.980	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.018	0.982	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.018	0.982	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.018	0.982	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.017	0.983	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.017	0.983	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.016	0.983	0.001
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.017	0.983	0.000
rs10466868 lBF = `0.108617` Chr`12` : `131,939,920`	0.000	0.984	0.016
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.016	0.984	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.015	0.985	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.015	0.985	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.015	0.985	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.014	0.986	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.013	0.987	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.012	0.987	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.011	0.989	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.011	0.989	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.010	0.990	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.009	0.991	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.008	0.992	0.000
rs2046383 lBF = `-0.080566` Chr`12` : `30,104,142`	0.008	0.992	0.000
rs6598163 lBF = `-0.114002` Chr`12` : `132,325,239`	0.008	0.992	0.000
rs1039302 lBF = `0.0385026` Chr`12` : `121,236,258`	0.008	0.992	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.007	0.992	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.006	0.994	0.000
rs2011738 lBF = `-0.0563275` Chr`12` : `219,988`	0.000	0.994	0.006
rs11172113 lBF = `0.0132012` Chr`12` : `57,527,283`	0.005	0.995	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.995	0.004
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.005	0.995	0.000
rs7979575 lBF = `-0.0500969` Chr`12` : `24,278,821`	0.000	0.995	0.005
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.004	0.995	0.000
rs11170164 lBF = `18.5212` Chr`12` : `52,913,668`	0.000	0.996	0.004
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.004	0.996	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.004	0.996	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.003	0.996	0.001
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.004	0.996	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.004	0.996	0.000
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.004	0.996	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.004	0.996	0.000
rs11062040 lBF = `0.0606984` Chr`12` : `2,091,257`	0.000	0.996	0.004
rs10841530 lBF = `-0.0577157` Chr`12` : `20,599,112`	0.000	0.996	0.004
rs643473 lBF = `-0.0162849` Chr`12` : `129,475,939`	0.004	0.996	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.003	0.997	0.000
rs1485394 lBF = `0.454763` Chr`12` : `53,955,485`	0.000	0.997	0.003
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.003	0.997	0.000
rs16923647 lBF = `-0.0674625` Chr`12` : `21,451,395`	0.000	0.997	0.003
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.003	0.997	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.003	0.997	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.997	0.003
rs3847794 lBF = `-0.0776265` Chr`12` : `94,528,825`	0.003	0.997	0.000
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.003	0.997	0.000
rs10771399 lBF = `4.40482` Chr`12` : `28,155,080`	0.000	0.997	0.003
rs12367822 lBF = `-0.0581335` Chr`12` : `57,204,160`	0.000	0.997	0.003
rs1569019 lBF = `-0.0293583` Chr`12` : `131,576,191`	0.000	0.997	0.003
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.002	0.997	0.000
rs113681054 lBF = `-0.0236609` Chr`12` : `21,402,979`	0.000	0.997	0.003
rs2285810 lBF = `5.79517` Chr`12` : `112,699,540`	0.000	0.997	0.003
rs11064768 lBF = `-0.0269596` Chr`12` : `119,818,509`	0.000	0.998	0.002
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.002	0.998	0.000
rs11610206 lBF = `-0.0174895` Chr`12` : `47,639,526`	0.002	0.998	0.000
rs1048466 lBF = `-0.0837561` Chr`12` : `551,550`	0.002	0.998	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.002	0.998	0.000
rs1368011 lBF = `-0.0701074` Chr`12` : `90,788,141`	0.002	0.998	0.000
rs1368013 lBF = `-0.0671908` Chr`12` : `90,776,891`	0.002	0.998	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.002	0.998	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.002	0.998	0.000
rs10849033 lBF = `0.0184301` Chr`12` : `4,425,122`	0.002	0.998	0.000
rs11064994 lBF = `-0.0224284` Chr`12` : `120,455,764`	0.002	0.998	0.000
rs12371778 lBF = `3.95458` Chr`12` : `28,156,081`	0.000	0.998	0.002
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.002	0.998	0.000
rs1005902 lBF = `5.81327` Chr`12` : `112,667,675`	0.000	0.998	0.002
rs2660869 lBF = `-0.0123585` Chr`12` : `96,479,267`	0.000	0.998	0.002
rs941207 lBF = `-0.0724624` Chr`12` : `57,023,284`	0.000	0.998	0.002
rs11055612 lBF = `-0.0887438` Chr`12` : `13,923,328`	0.002	0.998	0.000
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.998	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.002	0.998	0.000
rs2302729 lBF = `-0.0248168` Chr`12` : `2,783,972`	0.002	0.998	0.000
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.002	0.998	0.000
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
rs4149018 lBF = `0.00161931` Chr`12` : `21,291,561`	0.002	0.998	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.002	0.998	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.002	0.998	0.000
rs2055677 lBF = `-0.0445437` Chr`12` : `45,238,904`	0.000	0.998	0.002
rs3827886 lBF = `0.0140917` Chr`12` : `14,660,184`	0.002	0.998	0.000
rs2291738 lBF = `-0.104617` Chr`12` : `56,815,281`	0.000	0.998	0.002
rs118152513 lBF = `0.00652999` Chr`12` : `101,184,252`	0.000	0.998	0.002
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.001	0.998	0.000
rs7314811 lBF = `-0.0864847` Chr`12` : `11,962,573`	0.000	0.998	0.002
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.002	0.998	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.000	0.998	0.002
rs1871395 lBF = `-0.0242603` Chr`12` : `21,352,315`	0.000	0.998	0.002
rs12829704 lBF = `-0.0659069` Chr`12` : `21,388,621`	0.002	0.998	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.002	0.998	0.000
rs2950390 lBF = `-0.0747598` Chr`12` : `57,055,291`	0.000	0.998	0.002
rs12317268 lBF = `-0.0286854` Chr`12` : `21,352,541`	0.000	0.998	0.002
rs6538761 lBF = `-0.123452` Chr`12` : `97,434,220`	0.002	0.998	0.000
rs1036429 lBF = `0.10408` Chr`12` : `96,271,428`	0.000	0.998	0.002
rs192256367 lBF = `0.00111823` Chr`12` : `107,648,405`	0.001	0.998	0.000
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.001	0.998	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.001	0.998	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.001	0.998	0.000
rs4767364 lBF = `7.03532` Chr`12` : `112,521,448`	0.000	0.998	0.002
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.001	0.998	0.000
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rs7965087 lBF = `10.4918` Chr`12` : `112,548,562`	0.000	0.999	0.001
rs2066808 lBF = `0.103548` Chr`12` : `56,737,973`	0.000	0.999	0.001
rs183244340 lBF = `0.0050197` Chr`12` : `87,005,576`	0.000	0.999	0.000
rs2694917 lBF = `-0.0260947` Chr`12` : `56,912,864`	0.000	0.999	0.001
rs10860964 lBF = `-0.0515588` Chr`12` : `103,596,455`	0.000	0.999	0.001
rs6488619 lBF = `-0.0880297` Chr`12` : `13,927,896`	0.000	0.999	0.001
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.000	0.999	0.000
rs416350 lBF = `0.377076` Chr`12` : `68,779,413`	0.000	0.999	0.000
rs4326844 lBF = `0.0234596` Chr`12` : `54,736,470`	0.001	0.999	0.000
rs144148493 lBF = `0.015726` Chr`12` : `87,360,221`	0.000	0.999	0.000
rs1520832 lBF = `0.0100874` Chr`12` : `43,253,415`	0.001	0.999	0.000
rs140785266 lBF = `0.00305033` Chr`12` : `86,195,923`	0.000	0.999	0.000
rs11829119 lBF = `-0.0240856` Chr`12` : `19,193,531`	0.001	0.999	0.000
rs17788937 lBF = `-0.0494923` Chr`12` : `77,899,510`	0.001	0.999	0.000
rs2384207 lBF = `0.154401` Chr`12` : `113,607,502`	0.001	0.999	0.000
rs7972528 lBF = `0.0887222` Chr`12` : `84,131,036`	0.001	0.999	0.000
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.000	0.999	0.000
rs187039407 lBF = `0.0120709` Chr`12` : `87,341,774`	0.000	0.999	0.000
rs7312774 lBF = `0.00218812` Chr`12` : `107,305,728`	0.000	0.999	0.001
rs895470 lBF = `-0.072321` Chr`12` : `118,146,742`	0.001	0.999	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.000	0.999	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.000	0.999	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.000	0.999	0.000
rs4547160 lBF = `0.0249723` Chr`12` : `63,503,650`	0.001	0.999	0.000
rs10848820 lBF = `-0.00858932` Chr`12` : `3,296,948`	0.000	0.999	0.000
rs1043763 lBF = `-0.0415101` Chr`12` : `122,630,909`	0.000	0.999	0.000
rs1881744 lBF = `-0.070381` Chr`12` : `47,814,972`	0.001	0.999	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.000	0.999	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.000	0.999	0.000
rs2686555 lBF = `1.74364` Chr`12` : `121,095,172`	0.000	0.999	0.001
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.000	0.999	0.000
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.000	0.999	0.000
rs10784285 lBF = `0.518979` Chr`12` : `62,558,314`	0.001	0.999	0.000
rs10841397 lBF = `0.176142` Chr`12` : `20,063,968`	0.000	0.999	0.001
rs11575234 lBF = `0.0815188` Chr`12` : `56,744,276`	0.000	0.999	0.001
rs2020854 lBF = `0.0803119` Chr`12` : `56,743,367`	0.000	0.999	0.001
rs10861337 lBF = `0.033449` Chr`12` : `105,452,442`	0.001	0.999	0.000
rs10770705 lBF = `0.0261729` Chr`12` : `20,857,467`	0.000	0.999	0.001
rs11177669 lBF = `-0.00206854` Chr`12` : `69,828,681`	0.000	0.999	0.000
rs7963521 lBF = `-0.0106444` Chr`12` : `73,828,956`	0.001	0.999	0.000
rs12306296 lBF = `-0.0230885` Chr`12` : `127,248,385`	0.000	0.999	0.001
rs12828421 lBF = `-0.0462802` Chr`12` : `7,335,217`	0.001	0.999	0.000
rs1163656 lBF = `-0.0621041` Chr`12` : `81,337,458`	0.001	0.999	0.000
rs9325144 lBF = `-0.0860986` Chr`12` : `39,018,673`	0.001	0.999	0.000
rs1820460 lBF = `-0.0952555` Chr`12` : `107,704,705`	0.000	0.999	0.001
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.001	0.999	0.000
rs4474514 lBF = `0.605549` Chr`12` : `88,953,959`	0.001	0.999	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.000	0.999	0.000
rs10861032 lBF = `0.200739` Chr`12` : `103,912,506`	0.000	0.999	0.001
rs3213764 lBF = `0.0296142` Chr`12` : `14,587,301`	0.000	0.999	0.001
rs4765623 lBF = `0.00216448` Chr`12` : `125,320,850`	0.001	0.999	0.000
rs17184007 lBF = `-0.0163909` Chr`12` : `67,594,578`	0.000	0.999	0.001
rs17539289 lBF = `-0.0209531` Chr`12` : `41,126,330`	0.000	0.999	0.001
rs17431357 lBF = `-0.025961` Chr`12` : `120,880,434`	0.000	0.999	0.001
rs12318506 lBF = `-0.0281108` Chr`12` : `75,718,423`	0.000	0.999	0.000
rs11174267 lBF = `-0.113046` Chr`12` : `62,386,600`	0.000	0.999	0.001
rs12815303 lBF = `-0.113448` Chr`12` : `62,387,183`	0.000	0.999	0.001
rs12817007 lBF = `-0.114843` Chr`12` : `62,387,282`	0.000	0.999	0.001
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.001	0.999	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.000	0.999	0.000
rs7974772 lBF = `6.73048` Chr`12` : `112,332,283`	0.000	0.999	0.001
rs11532322 lBF = `1.22826` Chr`12` : `123,731,423`	0.000	0.999	0.001
rs1388585 lBF = `0.675794` Chr`12` : `40,531,691`	0.000	0.999	0.000
rs7964899 lBF = `0.117536` Chr`12` : `14,595,756`	0.000	0.999	0.001
rs55783344 lBF = `0.0642843` Chr`12` : `121,432,299`	0.000	0.999	0.000
rs10861342 lBF = `0.0295379` Chr`12` : `105,458,797`	0.001	0.999	0.000
rs11612228 lBF = `0.0226297` Chr`12` : `576,984`	0.000	0.999	0.001
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.000	0.999	0.000
rs139660738 lBF = `0.00949875` Chr`12` : `95,185,188`	0.000	0.999	0.000
rs11176749 lBF = `-0.00845982` Chr`12` : `67,852,784`	0.001	0.999	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	0.999	0.000
rs2272306 lBF = `-0.0485989` Chr`12` : `53,554,283`	0.000	0.999	0.001
rs11116045 lBF = `-0.0911945` Chr`12` : `84,196,529`	0.001	0.999	0.000
rs12817011 lBF = `-0.115072` Chr`12` : `62,387,287`	0.000	0.999	0.001
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.000	0.999	0.000
rs10773002 lBF = `1.05235` Chr`12` : `123,746,961`	0.000	0.999	0.001
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.999	0.000
rs3782181 lBF = `0.616058` Chr`12` : `88,953,561`	0.001	0.999	0.000
rs10507017 lBF = `0.118015` Chr`12` : `93,164,936`	0.001	0.999	0.000
rs66861122 lBF = `0.0602399` Chr`12` : `101,383,958`	0.000	0.999	0.000
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.000	0.999	0.000
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	0.999	0.000
rs4760636 lBF = `-0.0548218` Chr`12` : `48,173,352`	0.001	0.999	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.000	0.999	0.000
rs2293052 lBF = `0.0849252` Chr`12` : `117,715,620`	0.000	0.999	0.001
rs2289936 lBF = `0.0676215` Chr`12` : `65,471,467`	0.000	0.999	0.000
rs150695384 lBF = `0.0114384` Chr`12` : `64,917,042`	0.000	0.999	0.000
rs146238395 lBF = `0.00960375` Chr`12` : `118,443,870`	0.000	0.999	0.000
rs11175944 lBF = `0.00425637` Chr`12` : `66,256,395`	0.000	0.999	0.000
rs12370275 lBF = `-0.0573788` Chr`12` : `61,907,022`	0.000	0.999	0.001
rs4595586 lBF = `-0.0968439` Chr`12` : `39,225,991`	0.001	0.999	0.000
rs10773568 lBF = `-0.12648` Chr`12` : `129,186,190`	0.000	0.999	0.001
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.000	0.999	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.000	0.999	0.000
rs7973748 lBF = `7.3862` Chr`12` : `20,164,705`	0.000	0.999	0.000
rs3752630 lBF = `5.44827` Chr`12` : `112,375,990`	0.000	0.999	0.000
rs7964120 lBF = `0.504282` Chr`12` : `74,087,808`	0.000	0.999	0.000
rs871392 lBF = `0.133655` Chr`12` : `42,171,982`	0.000	0.999	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9890

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9853

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9705

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9702

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9593

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9513

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9405

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9387

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9044

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8931

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8914

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8881

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8558

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8290

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8179

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7778

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7768

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7268

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7229

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6879

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6828

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6799

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6756

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6725

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6710

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6436

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6293

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6290

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6265

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6195

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6078

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6037

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5851

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5559

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5284

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5255

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4354

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4317

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3914

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3272

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3211

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3209

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2930

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2917

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2622

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2528

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2514

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2464

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2435

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2403

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2240

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2088

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1892

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1503

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1324

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1143

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1081

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1027

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1024

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1018

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1009

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0962

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0869

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0803

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0732

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0701

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0685

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0667

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0596

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0578

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0544

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0514

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`)