TreeWAS – [J32.8] Other chronic sinusitis

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
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.788	0.212	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.777	0.223	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.759	0.241	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.671	0.329	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.665	0.335	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.656	0.344	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.656	0.344	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.651	0.349	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.650	0.350	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.584	0.415	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.583	0.417	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.575	0.425	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.574	0.426	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.562	0.438	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.562	0.438	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.557	0.443	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.452	0.548
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.542	0.458	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.537	0.463	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.527	0.473	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.496	0.504	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.496	0.504	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.495	0.505	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.491	0.509	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.485	0.514	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.479	0.521	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.464	0.536	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.434	0.565	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.419	0.580	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.419	0.581	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.406	0.593	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.399	0.601	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.390	0.610	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.384	0.616	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.383	0.617	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.380	0.620	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.375	0.624	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.374	0.626	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.359	0.640	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.356	0.644	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.355	0.645	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.354	0.646	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.354	0.646	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.349	0.650	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.343	0.656	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.343	0.657	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.339	0.661	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.333	0.667	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.331	0.669	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.327	0.673	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.315	0.684	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.315	0.685	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.314	0.686	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.312	0.688	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.312	0.688	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.306	0.693	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.302	0.698	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.301	0.699	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.301	0.699	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.297	0.703	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.274	0.726	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.272	0.727	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.271	0.729	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.263	0.737	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.261	0.739	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.257	0.743	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.255	0.744	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.254	0.746	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.242	0.758	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.235	0.765	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.231	0.768	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.217	0.783	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.210	0.790	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.206	0.794	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.198	0.802	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.191	0.809	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.187	0.812	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.185	0.815	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.181	0.819	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.177	0.823	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.000	0.825	0.175
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.166	0.834	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.160	0.840	0.001
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.152	0.848	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.150	0.848	0.002
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.146	0.854	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.146	0.854	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.145	0.855	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.144	0.856	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.143	0.857	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.143	0.857	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.135	0.865	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.134	0.865	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.133	0.867	0.001
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.127	0.872	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.126	0.873	0.000
rs10849023 lBF = `1.50648` Chr`12` : `4,332,478`	0.126	0.874	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.126	0.874	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.124	0.876	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.123	0.877	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.000	0.882	0.118
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.117	0.883	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.000	0.884	0.116
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.116	0.884	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.109	0.891	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.108	0.892	0.000
rs11611647 lBF = `1.42717` Chr`12` : `4,333,919`	0.108	0.892	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.106	0.894	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.106	0.894	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.104	0.896	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.101	0.899	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.100	0.900	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.095	0.905	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.093	0.906	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.093	0.907	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.090	0.909	0.001
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.088	0.912	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.085	0.915	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.084	0.915	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.083	0.917	0.000
rs886125 lBF = `9.62554` Chr`12` : `111,365,324`	0.079	0.921	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.079	0.921	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.078	0.921	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.078	0.921	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.072	0.928	0.001
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.072	0.928	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.069	0.930	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.068	0.931	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	0.935	0.065
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.065	0.935	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.063	0.937	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.937	0.063
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.062	0.938	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.058	0.942	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.056	0.943	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.055	0.945	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.055	0.945	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.054	0.946	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.054	0.946	0.000
rs1056620 lBF = `10.5104` Chr`12` : `111,375,172`	0.053	0.947	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.050	0.949	0.001
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.047	0.953	0.001
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.045	0.954	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.045	0.955	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.045	0.955	0.000
rs7961663 lBF = `12.1848` Chr`12` : `111,399,771`	0.045	0.955	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.044	0.956	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.043	0.957	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.040	0.960	0.000
rs657197 lBF = `20.0865` Chr`12` : `111,965,658`	0.000	0.960	0.040
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.038	0.962	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.038	0.962	0.001
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.036	0.964	0.001
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.035	0.964	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.035	0.964	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.034	0.966	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.030	0.970	0.000
rs1029388 lBF = `19.1784` Chr`12` : `111,926,901`	0.000	0.973	0.027
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.025	0.975	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.024	0.976	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.023	0.977	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.022	0.978	0.000
rs7296313 lBF = `21.6862` Chr`12` : `111,878,526`	0.000	0.978	0.022
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.021	0.978	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.021	0.978	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.021	0.979	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.021	0.979	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.019	0.979	0.001
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.020	0.980	0.000
rs739496 lBF = `22.8103` Chr`12` : `111,887,659`	0.000	0.981	0.019
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.017	0.983	0.000
rs1880887 lBF = `0.0224167` Chr`12` : `41,721,430`	0.000	0.983	0.016
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.016	0.983	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.016	0.984	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.015	0.985	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.015	0.985	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.014	0.986	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.014	0.986	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.014	0.986	0.000
rs6489835 lBF = `12.21` Chr`12` : `111,365,043`	0.014	0.986	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.013	0.986	0.001
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.013	0.987	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.012	0.988	0.000
rs11067278 lBF = `0.221955` Chr`12` : `115,184,053`	0.012	0.988	0.000
rs10843647 lBF = `-0.0689499` Chr`12` : `30,341,934`	0.000	0.988	0.012
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.012	0.988	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.011	0.988	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.011	0.989	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.011	0.989	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.011	0.989	0.001
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.011	0.989	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.010	0.989	0.000
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.010	0.990	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.010	0.990	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.010	0.990	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.009	0.991	0.000
rs2417820 lBF = `7.60635` Chr`12` : `20,190,474`	0.000	0.991	0.009
rs10774622 lBF = `16.6683` Chr`12` : `111,833,348`	0.000	0.992	0.008
rs12578160 lBF = `-0.0421482` Chr`12` : `115,187,934`	0.008	0.992	0.000
rs140785266 lBF = `0.00305033` Chr`12` : `86,195,923`	0.008	0.992	0.000
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.008	0.992	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.008	0.992	0.000
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rs111696067 lBF = `0` Chr`12` : `133,376,540`	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
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
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
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
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
rs141955301 lBF = `0` Chr`12` : `2,358,738`	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
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
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
rs183884080 lBF = `0` Chr`12` : `68,621,977`	0.001	0.999	0.001
rs11066015 lBF = `0` Chr`12` : `112,168,009`	0.001	0.999	0.001
rs2292664 lBF = `0` Chr`12` : `130,921,664`	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
rs143566192 lBF = `0` Chr`12` : `65,993,758`	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
rs3825214 lBF = `0.207399` Chr`12` : `114,795,443`	0.000	0.999	0.001
rs189010983 lBF = `0.0387565` Chr`12` : `84,086,176`	0.001	0.999	0.000
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.000	0.999	0.001
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
rs2403106 lBF = `-0.0508285` Chr`12` : `84,008,275`	0.001	0.999	0.000
rs1265564 lBF = `58.6971` Chr`12` : `111,708,458`	0.001	0.999	0.000
rs12425791 lBF = `0.00041025` Chr`12` : `783,484`	0.001	0.999	0.000
rs1502337 lBF = `0.00108225` Chr`12` : `111,062,852`	0.000	0.999	0.001
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.001	0.999	0.000
rs193153567 lBF = `-0.00029294` Chr`12` : `48,946,231`	0.001	0.999	0.000
rs11064837 lBF = `-0.0491459` Chr`12` : `120,017,706`	0.000	0.999	0.001
rs10219670 lBF = `-0.0682424` Chr`12` : `106,108,719`	0.000	0.999	0.001
rs2292239 lBF = `5.37127` Chr`12` : `56,482,180`	0.001	0.999	0.000
rs61943529 lBF = `0.0213403` Chr`12` : `118,601,856`	0.000	0.999	0.001
rs113681054 lBF = `-0.0236609` Chr`12` : `21,402,979`	0.000	0.999	0.001
rs1485394 lBF = `0.454763` Chr`12` : `53,955,485`	0.001	0.999	0.000
rs10849033 lBF = `0.0184301` Chr`12` : `4,425,122`	0.000	0.999	0.000
rs143888465 lBF = `0.00254406` Chr`12` : `52,010,108`	0.001	0.999	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	0.999	0.001
rs1873386 lBF = `-0.0245441` Chr`12` : `19,052,180`	0.001	0.999	0.000
rs4148660 lBF = `-0.0495509` Chr`12` : `22,059,617`	0.001	0.999	0.000
rs4759042 lBF = `0.0498471` Chr`12` : `57,377,347`	0.001	0.999	0.000
rs4251424 lBF = `-0.00048778` Chr`12` : `44,153,826`	0.001	0.999	0.000
rs12821256 lBF = `-0.0492207` Chr`12` : `89,328,335`	0.000	0.999	0.001
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.001	0.999	0.000
rs10778213 lBF = `-0.00963786` Chr`12` : `103,495,151`	0.001	0.999	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.001	0.999	0.000
rs1464500 lBF = `-0.102367` Chr`12` : `24,389,660`	0.001	0.999	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.000	0.999	0.001
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.000	0.999	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.001	0.999	0.000
rs59448276 lBF = `-0.00012332` Chr`12` : `52,680,766`	0.000	0.999	0.000
rs7980799 lBF = `0.806158` Chr`12` : `33,576,990`	0.001	0.999	0.000
rs4298948 lBF = `0.0247646` Chr`12` : `122,276,255`	0.001	0.999	0.000
rs877636 lBF = `5.92485` Chr`12` : `56,480,583`	0.000	0.999	0.001
rs4767234 lBF = `0.0669942` Chr`12` : `114,637,848`	0.001	0.999	0.000
rs2268118 lBF = `-0.0181373` Chr`12` : `13,872,044`	0.001	0.999	0.000
rs12318506 lBF = `-0.0281108` Chr`12` : `75,718,423`	0.000	0.999	0.001
rs1454933 lBF = `-0.0391194` Chr`12` : `33,017,043`	0.001	0.999	0.000
rs17096606 lBF = `36.0164` Chr`12` : `38,532,743`	0.001	0.999	0.000
rs116975820 lBF = `0.223166` Chr`12` : `42,722,908`	0.001	0.999	0.000
rs3782455 lBF = `0.0156366` Chr`12` : `114,359,265`	0.000	0.999	0.000
rs79946301 lBF = `-0.00185935` Chr`12` : `130,117,149`	0.001	0.999	0.000
rs2252518 lBF = `-0.0545461` Chr`12` : `52,381,026`	0.000	0.999	0.001
rs12367822 lBF = `-0.0581335` Chr`12` : `57,204,160`	0.001	0.999	0.000
rs12371778 lBF = `3.95458` Chr`12` : `28,156,081`	0.000	0.999	0.001
rs11044946 lBF = `0.0504246` Chr`12` : `20,081,335`	0.000	0.999	0.001
rs11176749 lBF = `-0.00845982` Chr`12` : `67,852,784`	0.000	0.999	0.001
rs7968270 lBF = `-0.0660084` Chr`12` : `95,095,838`	0.001	0.999	0.000
rs303795 lBF = `-0.115491` Chr`12` : `52,245,938`	0.001	0.999	0.000
rs10771399 lBF = `4.40482` Chr`12` : `28,155,080`	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)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0880

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.0754

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9889

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9803

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9700

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9521

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9498

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9332

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9326

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9322

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9270

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.9196

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9194

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9175

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9094

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9045

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9014

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8968

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8931

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8731

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8714

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8714

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8675

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8499

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8481

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8358

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8340

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8313

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8307

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8235

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8160

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8134

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7687

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7558

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7488

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7378

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7257

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7232

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7177

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7166

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7155

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7151

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7019

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6995

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6995

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6881

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6838

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6761

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6550

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6524

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6471

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6414

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6200

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6191

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6080

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6052

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6046

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6012

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5964

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5923

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5909

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5786

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5677

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5331

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5287

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5287

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5263

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5212

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5204

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5191

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5118

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5046

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4755

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4694

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4570

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4323

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4293

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4293

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4159

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4154

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3759

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3731

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3496

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3313

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3170

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3068

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2840

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2827

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2777

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2736

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2664

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2525

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2508

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2477

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2455

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2383

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2379

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2348

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2245

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2241

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2213

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2052

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2037

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1946

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1910

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1904

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1898

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1822

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1757

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1722

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1674

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1495

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1371

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1335

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1312

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1287

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1271

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1239

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1224

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1219

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1116

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0973

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0946

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0866

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0804

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0772

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0742

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0657

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0647

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0635

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0562

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`)