TreeWAS – [S01.3] Open wound of ear

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
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.877	0.123	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.790	0.210	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.776	0.224	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.773	0.227	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.770	0.230	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.752	0.248	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.739	0.261	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.734	0.266	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.725	0.275	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.719	0.281	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.701	0.299	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.700	0.300	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.697	0.303	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.686	0.314	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.682	0.318	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.678	0.322	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.668	0.332	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.668	0.332	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.664	0.336	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.654	0.346	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.651	0.349	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.650	0.350	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.646	0.354	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.616	0.384	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.608	0.392	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.604	0.396	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.601	0.399	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.590	0.410	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.583	0.417	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.581	0.418	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.578	0.422	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.573	0.427	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.570	0.430	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.567	0.433	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.558	0.442	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.558	0.442	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.557	0.443	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.557	0.443	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.542	0.458	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.535	0.464	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.534	0.466	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.533	0.467	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.532	0.468	0.000
rs150828104 lBF = `0.860743` Chr`12` : `116,775,695`	0.531	0.468	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.529	0.471	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.526	0.474	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.522	0.478	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.520	0.480	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.519	0.481	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.516	0.483	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.516	0.484	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.514	0.486	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.504	0.496	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.499	0.501	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.495	0.504	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.494	0.505	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.490	0.510	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.487	0.513	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.479	0.521	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.478	0.522	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.478	0.522	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.478	0.522	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.467	0.533	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.460	0.540	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.455	0.545	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.453	0.547	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.446	0.553	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.444	0.556	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.437	0.563	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.430	0.570	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.429	0.571	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.428	0.572	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.426	0.574	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.425	0.575	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.419	0.581	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.407	0.593	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.407	0.593	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.407	0.593	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.406	0.593	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.398	0.601	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.397	0.603	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.394	0.606	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.394	0.606	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.389	0.611	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.387	0.613	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.613	0.387
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.379	0.621	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.372	0.628	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.366	0.634	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.364	0.636	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.361	0.639	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.359	0.641	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.358	0.642	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.358	0.642	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.354	0.645	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.352	0.648	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.352	0.648	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.343	0.656	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.343	0.657	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.340	0.660	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.336	0.664	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.330	0.669	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.326	0.674	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.317	0.683	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.316	0.684	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.315	0.684	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.313	0.687	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.306	0.694	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.306	0.694	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.303	0.697	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.296	0.704	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.292	0.707	0.001
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.292	0.708	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.289	0.710	0.001
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.289	0.711	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.281	0.719	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.278	0.722	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.276	0.724	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.276	0.724	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.272	0.728	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.267	0.733	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.267	0.733	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.265	0.735	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.262	0.738	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.261	0.739	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.254	0.746	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.251	0.749	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.250	0.750	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.250	0.750	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.248	0.751	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.248	0.752	0.000
rs1823172 lBF = `0.580351` Chr`12` : `127,792,614`	0.245	0.755	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.244	0.756	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.235	0.765	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.234	0.765	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.234	0.766	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.234	0.766	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.233	0.767	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.230	0.769	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.225	0.775	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.221	0.779	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.220	0.780	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.218	0.782	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.202	0.797	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.201	0.799	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.196	0.804	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.195	0.804	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.195	0.805	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.188	0.811	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.178	0.822	0.000
rs10849893 lBF = `0.0937537` Chr`12` : `121,938,185`	0.176	0.824	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.175	0.825	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.170	0.830	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.169	0.830	0.001
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.167	0.832	0.001
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.163	0.836	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.158	0.842	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.156	0.844	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.154	0.846	0.000
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.149	0.851	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.147	0.853	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.136	0.863	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.134	0.865	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.133	0.867	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.128	0.872	0.001
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.128	0.872	0.000
rs1167125 lBF = `0.204614` Chr`12` : `43,434,282`	0.122	0.878	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.113	0.887	0.001
rs7485210 lBF = `0.126606` Chr`12` : `131,638,853`	0.000	0.888	0.112
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.100	0.899	0.001
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.099	0.901	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.098	0.902	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.094	0.906	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.093	0.907	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.092	0.908	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.092	0.908	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.091	0.909	0.000
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.091	0.909	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.090	0.910	0.000
rs4760099 lBF = `0.105938` Chr`12` : `122,318,723`	0.090	0.910	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.089	0.911	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.081	0.919	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.075	0.925	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.074	0.926	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.072	0.927	0.001
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.070	0.930	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.067	0.932	0.001
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.065	0.935	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.063	0.937	0.000
rs7314056 lBF = `0.0719109` Chr`12` : `122,342,964`	0.057	0.943	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.054	0.946	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.053	0.946	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.053	0.947	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.049	0.948	0.003
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.052	0.948	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.046	0.954	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.041	0.959	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.041	0.959	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.036	0.964	0.000
rs12811699 lBF = `0.0495048` Chr`12` : `105,017,164`	0.035	0.964	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.034	0.965	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.032	0.968	0.000
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rs12296937 lBF = `-0.00832408` Chr`12` : `81,494,252`	0.000	0.999	0.001
rs1633360 lBF = `-0.0408906` Chr`12` : `58,108,052`	0.000	0.999	0.001
rs10878340 lBF = `-0.0748584` Chr`12` : `40,695,095`	0.000	0.999	0.001
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
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
rs182408739 lBF = `0` Chr`12` : `65,726,649`	0.001	0.999	0.001
rs146978549 lBF = `0` Chr`12` : `17,049,912`	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
rs73206853 lBF = `0.220246` Chr`12` : `110,708,746`	0.001	0.999	0.000
rs10778560 lBF = `0.0420953` Chr`12` : `107,801,401`	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
rs150696478 lBF = `-0.0000275` Chr`12` : `86,321,388`	0.000	0.999	0.001
rs147510300 lBF = `-0.0000275` Chr`12` : `86,318,548`	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
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.001	0.999	0.000
rs12425791 lBF = `0.00041025` Chr`12` : `783,484`	0.000	0.999	0.001
rs1678542 lBF = `0.0108876` Chr`12` : `57,968,715`	0.000	0.999	0.001
rs193153567 lBF = `-0.00029294` Chr`12` : `48,946,231`	0.001	0.999	0.000
rs7978454 lBF = `-0.0861523` Chr`12` : `124,316,876`	0.001	0.999	0.000
rs789560 lBF = `0.442685` Chr`12` : `70,331,827`	0.001	0.999	0.000
rs17040430 lBF = `0.425945` Chr`12` : `108,742,820`	0.001	0.999	0.000
rs11065611 lBF = `0.0973389` Chr`12` : `110,704,487`	0.001	0.999	0.000
rs1186300 lBF = `0.0499188` Chr`12` : `17,728,991`	0.000	0.999	0.001
rs55783344 lBF = `0.0642843` Chr`12` : `121,432,299`	0.001	0.999	0.000
rs10773046 lBF = `-0.040599` Chr`12` : `124,375,210`	0.000	0.999	0.001
rs11044734 lBF = `0.0379019` Chr`12` : `19,795,906`	0.000	0.999	0.001
rs4251424 lBF = `-0.00048778` Chr`12` : `44,153,826`	0.001	0.999	0.000
rs1482292 lBF = `-0.0434345` Chr`12` : `129,818,246`	0.001	0.999	0.000
rs66861122 lBF = `0.0602399` Chr`12` : `101,383,958`	0.001	0.999	0.000
rs2070615 lBF = `-0.0624914` Chr`12` : `49,218,171`	0.000	0.999	0.001
rs61935443 lBF = `-0.112838` Chr`12` : `95,249,764`	0.000	0.999	0.001
rs11059635 lBF = `0.31419` Chr`12` : `128,782,022`	0.001	0.999	0.000
rs1491942 lBF = `0.0473085` Chr`12` : `40,620,808`	0.001	0.999	0.000
rs11044737 lBF = `0.0473058` Chr`12` : `19,801,753`	0.000	0.999	0.001
rs7313075 lBF = `-0.0257493` Chr`12` : `102,630,679`	0.000	0.999	0.001
rs2052678 lBF = `0.0263995` Chr`12` : `29,833,329`	0.000	0.999	0.001
rs11168854 lBF = `-0.118909` Chr`12` : `49,485,373`	0.000	0.999	0.001
rs11109142 lBF = `-0.00930259` Chr`12` : `98,027,691`	0.000	0.999	0.001
rs1059312 lBF = `0.186819` Chr`12` : `129,278,864`	0.001	0.999	0.000
rs77724872 lBF = `0.0190681` Chr`12` : `104,754,500`	0.001	0.999	0.000
rs59448276 lBF = `-0.00012332` Chr`12` : `52,680,766`	0.000	0.999	0.000
rs2268118 lBF = `-0.0181373` Chr`12` : `13,872,044`	0.000	0.999	0.001
rs2884670 lBF = `-0.0387267` Chr`12` : `4,675,218`	0.000	0.999	0.001
rs2389217 lBF = `-0.0760532` Chr`12` : `33,680,803`	0.000	0.999	0.001
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.001	0.999	0.000
rs79946301 lBF = `-0.00185935` Chr`12` : `130,117,149`	0.001	0.999	0.000
rs17108344 lBF = `-0.00155388` Chr`12` : `70,954,464`	0.000	0.999	0.000
rs871392 lBF = `0.133655` Chr`12` : `42,171,982`	0.001	0.999	0.000
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.000
rs12321906 lBF = `-0.00389599` Chr`12` : `53,916,715`	0.000	0.999	0.000
rs6598163 lBF = `-0.114002` Chr`12` : `132,325,239`	0.000	0.999	0.001
rs7964899 lBF = `0.117536` Chr`12` : `14,595,756`	0.001	0.999	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.001	0.999	0.000
rs17019682 lBF = `-0.0237381` Chr`12` : `92,305,270`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4897

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2836

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9877

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9837

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9819

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9804

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9740

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9677

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9654

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9634

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9571

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9569

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9539

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9486

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9465

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9431

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9423

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9388

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9379

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9354

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9335

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9290

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9270

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9143

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9083

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9021

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8804

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8777

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8763

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8729

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8664

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8627

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8588

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8545

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8526

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8483

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8280

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8236

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8136

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8106

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8076

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8035

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8013

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7983

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7904

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7846

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7796

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7783

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7596

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7513

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7495

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7440

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7318

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7288

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7265

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7210

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7128

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7093

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6663

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6657

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6652

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6579

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6337

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6332

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6261

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6240

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6185

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6022

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5995

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5989

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5752

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5695

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5559

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5547

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5529

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5474

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5474

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5473

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5400

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5347

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5347

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5336

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5322

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5276

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5240

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5145

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5056

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5031

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4892

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4889

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4692

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4649

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4441

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4366

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4324

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4311

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4251

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4178

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4111

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3478

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3446

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3376

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3085

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3035

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3012

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2890

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2850

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2444

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2376

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2304

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2283

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2260

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2246

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2148

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2076

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1949

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1942

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1913

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1726

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1655

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1652

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1282

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1242

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1210

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1121

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0932

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0928

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0871

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0790

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0783

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0777

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0750

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0722

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0654

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0593

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0571

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0524

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0517

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`)