TreeWAS – [T81.9] Unspecified complication of procedure

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
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.836	0.164	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.805	0.195	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.801	0.199	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.757	0.243	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.730	0.270	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.715	0.285	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.715	0.285	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.714	0.286	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.712	0.287	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.712	0.288	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.709	0.291	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.707	0.293	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.706	0.294	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.705	0.295	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.698	0.302	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.697	0.303	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.695	0.305	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.694	0.306	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.688	0.312	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.683	0.317	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.678	0.322	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.668	0.332	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.664	0.336	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.660	0.339	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.660	0.340	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.656	0.344	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.655	0.344	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.649	0.350	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.640	0.360	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.631	0.369	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.628	0.372	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.626	0.373	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.625	0.375	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.620	0.380	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.614	0.386	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.611	0.389	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.609	0.391	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.609	0.391	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.582	0.417	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.580	0.420	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.569	0.431	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.569	0.431	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.545	0.455	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.543	0.457	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.534	0.466	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.530	0.469	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.524	0.476	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.517	0.483	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.512	0.488	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.506	0.494	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.493	0.507	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.481	0.519	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.480	0.520	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.473	0.527	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.450	0.549	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.441	0.559	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.437	0.563	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.429	0.571	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.427	0.572	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.416	0.584	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.415	0.585	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.394	0.606	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.393	0.607	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.390	0.609	0.001
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.389	0.611	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.389	0.611	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.368	0.632	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.366	0.633	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.366	0.634	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.363	0.637	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.359	0.641	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.350	0.650	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.339	0.661	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.336	0.664	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.335	0.665	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.327	0.673	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.321	0.679	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.319	0.681	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.318	0.681	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.301	0.699	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.293	0.707	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.288	0.712	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.288	0.712	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.286	0.714	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.284	0.716	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.283	0.717	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.281	0.719	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.276	0.724	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.271	0.729	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.268	0.732	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.268	0.732	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.267	0.733	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.265	0.735	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.256	0.743	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.254	0.746	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.253	0.747	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.246	0.754	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.233	0.767	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.228	0.772	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.227	0.772	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.227	0.773	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.224	0.775	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.220	0.780	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.219	0.781	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.216	0.784	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.203	0.797	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.199	0.801	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.196	0.804	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.195	0.804	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.194	0.805	0.000
rs1167125 lBF = `0.204614` Chr`12` : `43,434,282`	0.192	0.808	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.189	0.810	0.000
rs11171846 lBF = `1.1123` Chr`12` : `56,828,056`	0.182	0.818	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.181	0.818	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.176	0.824	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.167	0.833	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.160	0.840	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.157	0.843	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.156	0.844	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.155	0.845	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.146	0.854	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.145	0.855	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.144	0.856	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.141	0.858	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.138	0.861	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.134	0.866	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.127	0.873	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.126	0.873	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.126	0.874	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.124	0.876	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.122	0.878	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.121	0.879	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.119	0.881	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.117	0.882	0.001
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.113	0.887	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.112	0.888	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.112	0.888	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.112	0.888	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.106	0.894	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.103	0.897	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.100	0.900	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.096	0.903	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.094	0.906	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.092	0.907	0.001
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.088	0.912	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.088	0.912	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.079	0.921	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.077	0.923	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.075	0.925	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.074	0.926	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.071	0.929	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.069	0.931	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.067	0.933	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.065	0.935	0.000
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.061	0.939	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.059	0.941	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.944	0.056
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.056	0.944	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.056	0.944	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.055	0.945	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.054	0.945	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.053	0.946	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.052	0.948	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.044	0.955	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.042	0.958	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.042	0.958	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.042	0.958	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.040	0.960	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.037	0.962	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.036	0.964	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.035	0.965	0.000
rs73044404 lBF = `0.0706572` Chr`12` : `2,135,449`	0.035	0.965	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.032	0.968	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.032	0.968	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.032	0.968	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.028	0.971	0.000
rs12811699 lBF = `0.0495048` Chr`12` : `105,017,164`	0.028	0.972	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.026	0.973	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.027	0.973	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.025	0.974	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.024	0.976	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.023	0.977	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.021	0.979	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.020	0.980	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.019	0.981	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.018	0.981	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.018	0.982	0.000
rs150828104 lBF = `0.860743` Chr`12` : `116,775,695`	0.017	0.983	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.016	0.984	0.000
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.015	0.985	0.000
rs2881580 lBF = `10.3938` Chr`12` : `27,983,485`	0.015	0.985	0.000
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.015	0.985	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.015	0.985	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.015	0.985	0.000
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.014	0.986	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.014	0.986	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.014	0.986	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.012	0.987	0.000
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.012	0.988	0.000
rs3782724 lBF = `0.0398054` Chr`12` : `6,466,081`	0.011	0.988	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.010	0.990	0.000
rs73200449 lBF = `0.0158231` Chr`12` : `110,078,967`	0.009	0.990	0.000
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rs3764023 lBF = `6.6728` Chr`12` : `9,801,382`	0.000	0.999	0.001
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	0.999	0.000
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.000	0.999	0.000
rs11177669 lBF = `-0.00206854` Chr`12` : `69,828,681`	0.000	0.999	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.999	0.001
rs12321906 lBF = `-0.00389599` Chr`12` : `53,916,715`	0.000	0.999	0.000
rs150695384 lBF = `0.0114384` Chr`12` : `64,917,042`	0.000	0.999	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	0.999	0.000
rs2285810 lBF = `5.79517` Chr`12` : `112,699,540`	0.001	0.999	0.000
rs144850704 lBF = `-0.0207004` Chr`12` : `118,062,074`	0.001	0.999	0.000
rs61021925 lBF = `-0.0234956` Chr`12` : `122,863,659`	0.000	0.999	0.001
rs10878577 lBF = `-0.107296` Chr`12` : `67,593,841`	0.001	0.999	0.000
rs11049300 lBF = `0.0426733` Chr`12` : `28,195,125`	0.001	0.999	0.000
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.000	0.999	0.000
rs138850252 lBF = `0.0193022` Chr`12` : `126,567,246`	0.000	0.999	0.000
rs11615916 lBF = `-0.0183791` Chr`12` : `62,610,860`	0.000	0.999	0.001
rs11836164 lBF = `-0.0593139` Chr`12` : `26,446,625`	0.001	0.999	0.000
rs139660738 lBF = `0.00949875` Chr`12` : `95,185,188`	0.000	0.999	0.000
rs3764044 lBF = `-0.0323613` Chr`12` : `21,428,371`	0.000	0.999	0.000
rs10745527 lBF = `-0.106409` Chr`12` : `90,609,017`	0.000	0.999	0.001
rs1056620 lBF = `10.5104` Chr`12` : `111,375,172`	0.001	0.999	0.000
rs10744816 lBF = `0.0401009` Chr`12` : `114,714,266`	0.001	0.999	0.000
rs137949660 lBF = `0.0004879` Chr`12` : `117,933,500`	0.000	0.999	0.000
rs79946301 lBF = `-0.00185935` Chr`12` : `130,117,149`	0.000	0.999	0.000
rs7961581 lBF = `-0.0213352` Chr`12` : `71,663,102`	0.000	0.999	0.001
rs1836127 lBF = `-0.0214553` Chr`12` : `93,550,301`	0.001	0.999	0.000
rs10744775 lBF = `4.3423` Chr`12` : `112,096,215`	0.001	0.999	0.000
rs1485394 lBF = `0.454763` Chr`12` : `53,955,485`	0.000	0.999	0.000
rs12427353 lBF = `0.204349` Chr`12` : `121,426,901`	0.001	0.999	0.000
rs55783344 lBF = `0.0642843` Chr`12` : `121,432,299`	0.000	0.999	0.000
rs11058518 lBF = `0.0101956` Chr`12` : `126,582,613`	0.000	0.999	0.000
rs1399439 lBF = `0.00947023` Chr`12` : `101,221,239`	0.000	0.999	0.000
rs650466 lBF = `0.00802182` Chr`12` : `118,646,661`	0.000	0.999	0.000
rs9971637 lBF = `-0.00275548` Chr`12` : `17,373,739`	0.000	0.999	0.000
rs12304921 lBF = `-0.00652912` Chr`12` : `51,357,542`	0.001	0.999	0.000
rs11610873 lBF = `-0.0107365` Chr`12` : `106,955,544`	0.001	0.999	0.000
rs7973719 lBF = `-0.0441937` Chr`12` : `7,334,813`	0.001	0.999	0.000
rs12828421 lBF = `-0.0462802` Chr`12` : `7,335,217`	0.001	0.999	0.000
rs249153 lBF = `-0.0832058` Chr`12` : `95,324,389`	0.001	0.999	0.000
rs7132908 lBF = `0.453103` Chr`12` : `50,263,148`	0.000	0.999	0.001
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.000	0.999	0.000
rs11062578 lBF = `0.00505306` Chr`12` : `3,327,167`	0.000	0.999	0.000
rs17431357 lBF = `-0.025961` Chr`12` : `120,880,434`	0.000	0.999	0.000
rs17399946 lBF = `-0.0373469` Chr`12` : `24,077,509`	0.001	0.999	0.000
rs35767 lBF = `-0.0761637` Chr`12` : `102,875,569`	0.000	0.999	0.001
rs7305618 lBF = `0.828838` Chr`12` : `121,402,932`	0.000	0.999	0.000
rs4625554 lBF = `0.116226` Chr`12` : `4,416,304`	0.000	0.999	0.000
rs10745954 lBF = `0.0629927` Chr`12` : `103,483,094`	0.000	0.999	0.000
rs11564258 lBF = `0.0464349` Chr`12` : `40,792,300`	0.000	0.999	0.000
rs7312122 lBF = `0.0324516` Chr`12` : `113,158,838`	0.000	0.999	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	0.999	0.000
rs12302103 lBF = `-0.0594117` Chr`12` : `12,729,316`	0.000	0.999	0.001
rs10875912 lBF = `-0.076552` Chr`12` : `49,416,944`	0.000	0.999	0.000
rs10877945 lBF = `-0.0885036` Chr`12` : `63,445,962`	0.000	0.999	0.000
rs2650000 lBF = `12.7264` Chr`12` : `121,388,962`	0.000	0.999	0.000
rs886125 lBF = `9.62554` Chr`12` : `111,365,324`	0.000	0.999	0.000
rs9739682 lBF = `0.0684794` Chr`12` : `62,516,649`	0.000	0.999	0.000
rs9706154 lBF = `0.0619769` Chr`12` : `62,513,582`	0.000	0.999	0.000
rs1009168 lBF = `0.0473879` Chr`12` : `62,510,495`	0.000	0.999	0.000
rs9738122 lBF = `0.0447775` Chr`12` : `62,514,673`	0.000	0.999	0.000
rs1444249 lBF = `0.0395266` Chr`12` : `62,501,196`	0.000	0.999	0.000
rs12829595 lBF = `0.0381979` Chr`12` : `62,507,518`	0.000	0.999	0.000
rs9668865 lBF = `0.0381979` Chr`12` : `62,507,589`	0.000	0.999	0.000
rs35194524 lBF = `0.0381979` Chr`12` : `62,507,200`	0.000	0.999	0.000
rs11174324 lBF = `0.037943` Chr`12` : `62,502,250`	0.000	0.999	0.000
rs145861664 lBF = `0.0379098` Chr`12` : `62,505,458`	0.000	0.999	0.000
rs1985875 lBF = `0.0379098` Chr`12` : `62,508,024`	0.000	0.999	0.000
rs9738294 lBF = `0.0379098` Chr`12` : `62,508,489`	0.000	0.999	0.000
rs9668015 lBF = `0.0379098` Chr`12` : `62,506,495`	0.000	0.999	0.000
rs1975494 lBF = `0.0379098` Chr`12` : `62,508,197`	0.000	0.999	0.000
rs9739546 lBF = `0.0378782` Chr`12` : `62,508,437`	0.000	0.999	0.000
rs12579846 lBF = `0.0352511` Chr`12` : `62,509,328`	0.000	0.999	0.000
rs1444250 lBF = `0.0341945` Chr`12` : `62,501,174`	0.000	0.999	0.000
rs10877792 lBF = `0.0340903` Chr`12` : `62,503,621`	0.000	0.999	0.000
rs11174325 lBF = `0.03392` Chr`12` : `62,503,773`	0.000	0.999	0.000
rs9668676 lBF = `0.03392` Chr`12` : `62,504,199`	0.000	0.999	0.000
rs12425896 lBF = `0.0338669` Chr`12` : `62,506,902`	0.000	0.999	0.000
rs9668369 lBF = `0.0338669` Chr`12` : `62,506,842`	0.000	0.999	0.000
rs10784281 lBF = `0.0223776` Chr`12` : `62,502,979`	0.000	0.999	0.000
rs1057510 lBF = `0.0192049` Chr`12` : `6,683,287`	0.000	0.999	0.000
rs10848911 lBF = `-0.0331332` Chr`12` : `3,814,238`	0.000	0.999	0.000
rs2669010 lBF = `-0.0393926` Chr`12` : `77,009,060`	0.000	0.999	0.000
rs10444533 lBF = `-0.0702925` Chr`12` : `107,229,705`	0.000	0.999	0.000
rs1029388 lBF = `19.1784` Chr`12` : `111,926,901`	0.000	1.000	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.000	1.000	0.000
rs10860392 lBF = `0.0809777` Chr`12` : `99,498,187`	0.000	1.000	0.000
rs11053548 lBF = `0.0256014` Chr`12` : `10,170,727`	0.000	1.000	0.000
rs939876 lBF = `0.0093031` Chr`12` : `65,252,118`	0.000	1.000	0.000
rs11174650 lBF = `-0.0389025` Chr`12` : `63,179,929`	0.000	1.000	0.000
rs11064837 lBF = `-0.0491459` Chr`12` : `120,017,706`	0.000	1.000	0.000
rs11610143 lBF = `-0.0601849` Chr`12` : `52,349,071`	0.000	1.000	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.000	1.000	0.000
rs76904798 lBF = `0.123963` Chr`12` : `40,614,434`	0.000	1.000	0.000
rs12423712 lBF = `0.0543282` Chr`12` : `125,033,933`	0.000	1.000	0.000
rs10880784 lBF = `0.0419605` Chr`12` : `45,843,490`	0.000	1.000	0.000
rs61943529 lBF = `0.0213403` Chr`12` : `118,601,856`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6835

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5546

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9972

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9839

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9812

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9771

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9760

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9734

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9725

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9597

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9578

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9568

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9557

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9457

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9379

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9321

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9176

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9094

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8815

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8804

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8801

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8546

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8500

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8423

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8357

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8285

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8237

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8197

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8018

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8013

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7989

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7903

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7895

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7894

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7801

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7731

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7661

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7577

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7549

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7491

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7444

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7273

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7166

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7162

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7153

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7085

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6977

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6933

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6922

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6791

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6652

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6340

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6278

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6246

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6206

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6060

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6047

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5972

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5945

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5356

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5151

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5129

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5061

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4959

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4527

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4482

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4473

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4241

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4179

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4125

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3954

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3764

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3336

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3320

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3252

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3239

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3165

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3161

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3121

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2964

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2927

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2664

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2397

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2359

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2248

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2198

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2135

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2031

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1795

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1754

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1702

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1701

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1696

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1681

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1678

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1670

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1663

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1642

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1557

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1549

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1435

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1332

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1302

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1298

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1274

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1258

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1184

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1150

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1121

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1001

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1001

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0986

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0897

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0877

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0877

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0826

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0797

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0793

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0791

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0756

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0727

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0712

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0623

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0606

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0586

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0572

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0539

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0539

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0523

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`)