TreeWAS – [M79.64] Pain in limb (Hand)

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
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.886	0.114	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.865	0.135	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.825	0.175	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.736	0.264	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.721	0.279	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.689	0.311	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.683	0.317	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.664	0.336	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.660	0.340	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.649	0.351	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.641	0.359	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.641	0.359	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.631	0.369	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.631	0.369	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.627	0.372	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.617	0.383	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.607	0.393	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.600	0.400	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.600	0.400	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.597	0.403	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.575	0.425	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.572	0.427	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.548	0.452	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.544	0.456	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.533	0.466	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.520	0.480	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.506	0.493	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.502	0.498	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.500	0.500	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.490	0.510	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.484	0.516	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.483	0.516	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.480	0.520	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.473	0.526	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.465	0.534	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.444	0.556	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.433	0.567	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.433	0.567	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.431	0.569	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.431	0.569	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.408	0.591	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.401	0.599	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.400	0.600	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.394	0.605	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.392	0.608	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.387	0.613	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.385	0.614	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.379	0.621	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.374	0.626	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.372	0.627	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.359	0.641	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.359	0.641	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.339	0.661	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.329	0.670	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.318	0.681	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.318	0.682	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.311	0.689	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.311	0.689	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.305	0.695	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.291	0.708	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.291	0.709	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.284	0.716	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.277	0.722	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.274	0.726	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.262	0.738	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.258	0.742	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.257	0.743	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.257	0.743	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.252	0.747	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.249	0.751	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.244	0.756	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.239	0.760	0.001
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.231	0.769	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.219	0.781	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.216	0.784	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.216	0.784	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.215	0.785	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.212	0.788	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.211	0.789	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.210	0.789	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.207	0.792	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.205	0.795	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.205	0.795	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.202	0.798	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.199	0.800	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.195	0.804	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.194	0.806	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.192	0.808	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.188	0.811	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.179	0.820	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.178	0.822	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.163	0.836	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.157	0.843	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.154	0.846	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.152	0.848	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.152	0.848	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.149	0.851	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.148	0.852	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.145	0.854	0.000
rs7304057 lBF = `0.0675331` Chr`12` : `131,352,562`	0.143	0.857	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.143	0.857	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.139	0.860	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.139	0.861	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.137	0.862	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.134	0.866	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.131	0.868	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.130	0.870	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.129	0.871	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.128	0.872	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.125	0.875	0.000
rs10777534 lBF = `5.44821` Chr`12` : `94,084,878`	0.125	0.875	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.122	0.878	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.119	0.881	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.118	0.882	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.116	0.884	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.115	0.885	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.111	0.889	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.111	0.889	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.110	0.890	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.107	0.892	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.106	0.893	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.104	0.896	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.103	0.897	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.101	0.898	0.001
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.098	0.901	0.001
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.097	0.903	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.096	0.903	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.095	0.905	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.093	0.907	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.091	0.909	0.000
rs116910038 lBF = `0.0694182` Chr`12` : `85,424,093`	0.090	0.909	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.088	0.911	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.085	0.915	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.080	0.920	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.080	0.920	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.079	0.921	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.077	0.923	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.077	0.923	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.074	0.926	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.073	0.927	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.070	0.929	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.070	0.930	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.067	0.933	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.059	0.940	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.059	0.941	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.054	0.946	0.001
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.051	0.949	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.051	0.949	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.051	0.949	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.047	0.953	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.046	0.954	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.044	0.956	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.044	0.956	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.044	0.956	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.043	0.956	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.043	0.956	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.043	0.956	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.043	0.957	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.043	0.957	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.038	0.961	0.001
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.038	0.962	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.035	0.964	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.034	0.966	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.033	0.966	0.001
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.034	0.966	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.033	0.967	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.033	0.967	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.027	0.967	0.006
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.032	0.968	0.000
rs12316797 lBF = `1.37316` Chr`12` : `43,160,744`	0.032	0.968	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.032	0.968	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.027	0.972	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.025	0.974	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.025	0.975	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.024	0.975	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.022	0.978	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.020	0.980	0.000
rs61144803 lBF = `0.00541419` Chr`12` : `94,235,165`	0.000	0.980	0.020
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.019	0.980	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.019	0.981	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.016	0.983	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.016	0.984	0.000
rs12823357 lBF = `6.08625` Chr`12` : `55,473,859`	0.016	0.984	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.015	0.985	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.015	0.985	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.014	0.985	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.014	0.986	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.013	0.986	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.013	0.987	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.012	0.987	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.011	0.988	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.011	0.988	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.011	0.989	0.000
rs789560 lBF = `0.442685` Chr`12` : `70,331,827`	0.011	0.989	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.008	0.991	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.008	0.992	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.007	0.992	0.001
rs1454933 lBF = `-0.0391194` Chr`12` : `33,017,043`	0.000	0.992	0.008
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.007	0.992	0.000
rs139660738 lBF = `0.00949875` Chr`12` : `95,185,188`	0.007	0.992	0.000
rs4883201 lBF = `-0.0580715` Chr`12` : `9,082,581`	0.000	0.993	0.007
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.007	0.993	0.000
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rs11064994 lBF = `-0.0224284` Chr`12` : `120,455,764`	0.001	0.999	0.000
rs10506328 lBF = `-0.0563244` Chr`12` : `54,687,232`	0.000	0.999	0.001
rs183244340 lBF = `0.0050197` Chr`12` : `87,005,576`	0.000	0.999	0.000
rs10784762 lBF = `-0.00372949` Chr`12` : `69,523,923`	0.001	0.999	0.000
rs57083693 lBF = `-0.0766627` Chr`12` : `101,742,180`	0.001	0.999	0.000
rs11169571 lBF = `11.7333` Chr`12` : `51,213,765`	0.001	0.999	0.000
rs3213764 lBF = `0.0296142` Chr`12` : `14,587,301`	0.000	0.999	0.001
rs144148493 lBF = `0.015726` Chr`12` : `87,360,221`	0.000	0.999	0.000
rs143888465 lBF = `0.00254406` Chr`12` : `52,010,108`	0.001	0.999	0.000
rs10875912 lBF = `-0.076552` Chr`12` : `49,416,944`	0.001	0.999	0.000
rs1650123 lBF = `-0.105022` Chr`12` : `104,034,319`	0.001	0.999	0.000
rs1129406 lBF = `10.9136` Chr`12` : `51,203,371`	0.001	0.999	0.000
rs10849023 lBF = `1.50648` Chr`12` : `4,332,478`	0.000	0.999	0.001
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.000
rs10848820 lBF = `-0.00858932` Chr`12` : `3,296,948`	0.000	0.999	0.000
rs71455379 lBF = `-0.0353711` Chr`12` : `11,558,877`	0.001	0.999	0.000
rs10843013 lBF = `12.9097` Chr`12` : `28,025,196`	0.000	0.999	0.001
rs11362332 lBF = `5.87161` Chr`12` : `27,993,726`	0.000	0.999	0.001
rs10849915 lBF = `0.235283` Chr`12` : `111,333,622`	0.001	0.999	0.000
rs10774610 lBF = `0.180126` Chr`12` : `111,340,243`	0.001	0.999	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.001	0.999	0.000
rs187039407 lBF = `0.0120709` Chr`12` : `87,341,774`	0.000	0.999	0.000
rs140785266 lBF = `0.00305033` Chr`12` : `86,195,923`	0.000	0.999	0.000
rs79946301 lBF = `-0.00185935` Chr`12` : `130,117,149`	0.000	0.999	0.000
rs10507130 lBF = `-0.0610693` Chr`12` : `101,753,954`	0.001	0.999	0.000
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.000	0.999	0.000
rs142054194 lBF = `0.0063675` Chr`12` : `86,864,240`	0.000	0.999	0.000
rs140444490 lBF = `0.00607512` Chr`12` : `86,860,976`	0.000	0.999	0.000
rs10743430 lBF = `-0.00561848` Chr`12` : `22,151,573`	0.000	0.999	0.001
rs1006737 lBF = `-0.0426692` Chr`12` : `2,345,295`	0.001	0.999	0.000
rs12372718 lBF = `10.828` Chr`12` : `51,171,090`	0.001	0.999	0.000
rs1727313 lBF = `4.61449` Chr`12` : `123,640,853`	0.001	0.999	0.000
rs2970818 lBF = `0.263408` Chr`12` : `4,606,168`	0.001	0.999	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.000	0.999	0.000
rs2655898 lBF = `0.00553475` Chr`12` : `60,810,652`	0.001	0.999	0.000
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.000	0.999	0.000
rs145863439 lBF = `1.25684` Chr`12` : `800,834`	0.000	0.999	0.001
rs7342306 lBF = `-0.0388606` Chr`12` : `6,291,093`	0.001	0.999	0.000
rs614226 lBF = `-0.0412855` Chr`12` : `120,974,510`	0.000	0.999	0.001
rs12310956 lBF = `-0.0995665` Chr`12` : `33,970,682`	0.001	0.999	0.000
rs11171846 lBF = `1.1123` Chr`12` : `56,828,056`	0.000	0.999	0.001
rs55783344 lBF = `0.0642843` Chr`12` : `121,432,299`	0.000	0.999	0.001
rs11109142 lBF = `-0.00930259` Chr`12` : `98,027,691`	0.000	0.999	0.000
rs2204008 lBF = `-0.0124953` Chr`12` : `38,439,203`	0.000	0.999	0.001
rs7397814 lBF = `-0.0166476` Chr`12` : `9,546,962`	0.000	0.999	0.001
rs79843055 lBF = `0.00066378` Chr`12` : `86,284,459`	0.000	0.999	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.000	0.999	0.001
rs11611647 lBF = `1.42717` Chr`12` : `4,333,919`	0.000	0.999	0.001
rs4767234 lBF = `0.0669942` Chr`12` : `114,637,848`	0.000	0.999	0.001
rs58116261 lBF = `8.77788` Chr`12` : `112,935,344`	0.000	0.999	0.001
rs2460882 lBF = `2.95136` Chr`12` : `53,787,953`	0.000	0.999	0.001
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	0.999	0.000
rs2117032 lBF = `-0.0299892` Chr`12` : `21,074,122`	0.001	0.999	0.000
rs12580035 lBF = `-0.045879` Chr`12` : `1,911,860`	0.000	0.999	0.001
rs2881580 lBF = `10.3938` Chr`12` : `27,983,485`	0.000	0.999	0.001
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.000	0.999	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.000	0.999	0.000
rs12811699 lBF = `0.0495048` Chr`12` : `105,017,164`	0.000	0.999	0.000
rs10748180 lBF = `0.0453805` Chr`12` : `72,071,045`	0.000	0.999	0.001
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.001	0.999	0.000
rs35444 lBF = `13.1451` Chr`12` : `115,552,437`	0.001	0.999	0.000
rs10859525 lBF = `0.200562` Chr`12` : `93,948,457`	0.001	0.999	0.000
rs10466868 lBF = `0.108617` Chr`12` : `131,939,920`	0.000	0.999	0.001
rs1458175 lBF = `0.083754` Chr`12` : `41,965,861`	0.001	0.999	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.999	0.000
rs12370001 lBF = `-0.00554657` Chr`12` : `73,044,622`	0.001	0.999	0.000
rs9652020 lBF = `-0.0163675` Chr`12` : `40,547,379`	0.000	0.999	0.001
rs11104803 lBF = `-0.0432384` Chr`12` : `88,695,012`	0.000	0.999	0.000
rs7312105 lBF = `-0.061585` Chr`12` : `2,523,355`	0.000	0.999	0.001
rs1485394 lBF = `0.454763` Chr`12` : `53,955,485`	0.000	0.999	0.001
rs10774214 lBF = `0.128369` Chr`12` : `4,368,352`	0.001	0.999	0.000
rs17429217 lBF = `0.00288289` Chr`12` : `117,295,333`	0.000	0.999	0.000
rs17184007 lBF = `-0.0163909` Chr`12` : `67,594,578`	0.000	0.999	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	0.000	0.999	0.000
rs11054935 lBF = `-0.0491875` Chr`12` : `12,648,843`	0.001	0.999	0.000
rs12821256 lBF = `-0.0492207` Chr`12` : `89,328,335`	0.000	0.999	0.001
rs11054786 lBF = `-0.0551689` Chr`12` : `12,458,665`	0.001	0.999	0.000
rs7358770 lBF = `-0.0870451` Chr`12` : `61,845,224`	0.001	0.999	0.000
rs10861032 lBF = `0.200739` Chr`12` : `103,912,506`	0.000	0.999	0.001
rs7965584 lBF = `0.0830301` Chr`12` : `90,305,779`	0.001	0.999	0.000
rs1520832 lBF = `0.0100874` Chr`12` : `43,253,415`	0.001	0.999	0.000
rs1513049 lBF = `0.00460279` Chr`12` : `17,362,816`	0.000	0.999	0.000
rs838886 lBF = `-0.0554773` Chr`12` : `125,264,287`	0.000	0.999	0.001
rs216026 lBF = `-0.0899744` Chr`12` : `2,749,127`	0.000	0.999	0.001
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.999	0.000
rs7972528 lBF = `0.0887222` Chr`12` : `84,131,036`	0.001	0.999	0.000
rs1348582 lBF = `-0.0547663` Chr`12` : `20,531,756`	0.001	0.999	0.000
rs11046430 lBF = `-0.0676965` Chr`12` : `22,566,429`	0.000	0.999	0.000
rs11116045 lBF = `-0.0911945` Chr`12` : `84,196,529`	0.001	0.999	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.999	0.001
rs902774 lBF = `1.63621` Chr`12` : `53,273,904`	0.000	0.999	0.000
rs116975820 lBF = `0.223166` Chr`12` : `42,722,908`	0.000	0.999	0.000
rs17466626 lBF = `0.0332799` Chr`12` : `40,760,631`	0.000	0.999	0.000
rs4326844 lBF = `0.0234596` Chr`12` : `54,736,470`	0.000	0.999	0.001
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	0.999	0.000
rs1558324 lBF = `-0.0401239` Chr`12` : `6,289,219`	0.001	0.999	0.000
rs7301016 lBF = `-0.0493217` Chr`12` : `62,886,123`	0.000	0.999	0.001

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9895

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9893

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9881

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9842

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9824

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9766

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9752

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9739

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9710

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9698

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9640

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9585

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9578

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9519

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9492

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9444

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9430

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9426

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9407

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9339

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9333

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9266

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9221

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9167

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9130

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9099

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9089

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8968

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8855

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8838

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8757

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8752

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8742

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8692

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8664

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8643

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8639

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8621

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8617

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8504

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8482

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8451

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8448

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8245

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8078

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8059

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8042

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7679

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7664

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7540

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7492

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7489

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7457

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7409

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7356

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7319

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7271

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7167

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7167

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7166

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7158

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7005

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6986

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6924

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6796

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6721

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6673

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6526

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6508

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6442

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6366

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6351

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6282

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6224

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6193

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6103

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5973

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5702

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5656

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5602

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5573

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5510

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5488

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5438

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5168

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5095

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5023

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4984

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4973

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4667

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4629

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4437

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4337

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4256

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4237

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4200

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4189

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4125

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4111

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4076

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3856

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3822

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3816

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3804

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3539

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3527

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3446

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3348

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3309

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3280

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3266

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3206

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3168

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2556

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2469

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2338

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2243

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2186

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2148

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2141

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2071

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2028

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1924

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1890

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1831

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1814

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1754

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1575

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1463

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1392

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1357

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1356

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1305

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1245

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1208

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1192

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0815

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0755

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0735

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0654

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0609

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0564

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0536

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`)