TreeWAS – [M25.5] Pain in joint

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
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.983	0.017	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.968	0.032	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.961	0.039	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.960	0.040	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.958	0.042	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.941	0.059	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.934	0.066	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.930	0.070	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.924	0.076	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.923	0.077	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.920	0.080	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.916	0.084	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.867	0.133	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.854	0.146	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.831	0.169	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.819	0.181	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.814	0.186	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.799	0.201	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.796	0.204	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.778	0.222	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.772	0.228	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.751	0.249	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.741	0.259	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.739	0.261	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.729	0.271	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.722	0.278	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.720	0.280	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.717	0.283	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.714	0.286	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.684	0.316	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.670	0.330	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.652	0.348	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.643	0.357	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.636	0.363	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.629	0.371	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.627	0.373	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.602	0.398	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.587	0.413	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.579	0.421	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.576	0.424	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.567	0.433	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.564	0.436	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.563	0.437	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.562	0.438	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.546	0.454	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.535	0.465	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.525	0.475	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.507	0.493	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.502	0.498	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.501	0.499	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.496	0.504	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.481	0.519	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.478	0.522	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.473	0.527	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.454	0.546	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.452	0.548	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.443	0.557	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.437	0.563	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.429	0.571	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.425	0.575	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.424	0.576	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.418	0.582	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.412	0.588	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.402	0.598	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.389	0.611	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.383	0.617	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.370	0.630	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.364	0.636	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.363	0.637	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.361	0.638	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.360	0.640	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.357	0.643	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.346	0.654	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.327	0.673	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.321	0.679	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.320	0.680	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.312	0.687	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.307	0.693	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.304	0.696	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.298	0.702	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.296	0.703	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.294	0.705	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.294	0.706	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.291	0.709	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.286	0.714	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.283	0.717	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.283	0.717	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.282	0.718	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.278	0.722	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.275	0.725	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.265	0.735	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.263	0.736	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.262	0.738	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.254	0.745	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.243	0.756	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.240	0.760	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.238	0.762	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.236	0.764	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.233	0.767	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.228	0.772	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.218	0.782	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.218	0.782	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.215	0.785	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.215	0.785	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.208	0.792	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.207	0.793	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.207	0.793	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.197	0.803	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.195	0.804	0.001
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.194	0.806	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.192	0.808	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.192	0.808	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.187	0.813	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.187	0.813	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.186	0.814	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.183	0.817	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.180	0.820	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.177	0.823	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.175	0.825	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.170	0.830	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.170	0.830	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.166	0.834	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.161	0.839	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.160	0.840	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.156	0.844	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.145	0.855	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.140	0.859	0.000
rs12823357 lBF = `6.08625` Chr`12` : `55,473,859`	0.140	0.860	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.132	0.868	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.131	0.869	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.130	0.870	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.129	0.870	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.126	0.874	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.122	0.878	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.117	0.883	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.117	0.883	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.117	0.883	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.110	0.890	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.106	0.894	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.106	0.894	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.100	0.900	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.098	0.902	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.096	0.904	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.093	0.907	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.091	0.909	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.088	0.911	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.089	0.911	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.088	0.912	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.084	0.916	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.084	0.916	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.083	0.917	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.077	0.923	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.075	0.925	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.069	0.931	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.066	0.934	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.062	0.937	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.061	0.939	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.058	0.941	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.058	0.942	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.052	0.948	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.051	0.949	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.045	0.955	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.042	0.958	0.001
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.042	0.958	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.036	0.963	0.001
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.037	0.963	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.036	0.964	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.036	0.964	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.034	0.966	0.000
rs2268118 lBF = `-0.0181373` Chr`12` : `13,872,044`	0.030	0.970	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.030	0.970	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.027	0.973	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.027	0.973	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.025	0.975	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.025	0.975	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.025	0.975	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.022	0.977	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.022	0.978	0.000
rs2870946 lBF = `0.0641534` Chr`12` : `68,596,661`	0.021	0.979	0.000
rs7965087 lBF = `10.4918` Chr`12` : `112,548,562`	0.020	0.980	0.000
rs2301756 lBF = `7.47329` Chr`12` : `112,890,776`	0.019	0.981	0.000
rs10859563 lBF = `2.0749` Chr`12` : `94,120,339`	0.019	0.981	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.018	0.982	0.000
rs10859567 lBF = `2.9515` Chr`12` : `94,126,925`	0.018	0.982	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.018	0.982	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.016	0.984	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.016	0.984	0.000
rs2630772 lBF = `-0.0468769` Chr`12` : `54,426,521`	0.016	0.984	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.014	0.985	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.014	0.986	0.000
rs116910038 lBF = `0.0694182` Chr`12` : `85,424,093`	0.014	0.986	0.000
rs9971637 lBF = `-0.00275548` Chr`12` : `17,373,739`	0.012	0.988	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.011	0.989	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.011	0.989	0.000
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.011	0.989	0.000
rs2384000 lBF = `9.34104` Chr`12` : `112,965,142`	0.011	0.989	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.010	0.990	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.010	0.990	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.010	0.990	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.010	0.990	0.000
rs7316650 lBF = `10.7172` Chr`12` : `112,439,664`	0.009	0.991	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.009	0.991	0.000
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rs4842666 lBF = `4.8905` Chr`12` : `89,941,549`	0.000	1.000	0.000
rs650466 lBF = `0.00802182` Chr`12` : `118,646,661`	0.000	1.000	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.000	1.000	0.000
rs7973572 lBF = `0.0461244` Chr`12` : `24,289,366`	0.000	1.000	0.000
rs10778560 lBF = `0.0420953` Chr`12` : `107,801,401`	0.000	1.000	0.000
rs11574532 lBF = `-0.018787` Chr`12` : `53,594,438`	0.000	1.000	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.000	1.000	0.000
rs11112046 lBF = `0.314989` Chr`12` : `104,818,192`	0.000	1.000	0.000
rs12826178 lBF = `0.0886157` Chr`12` : `57,622,371`	0.000	1.000	0.000
rs1443512 lBF = `0.0616224` Chr`12` : `54,342,684`	0.000	1.000	0.000
rs3782724 lBF = `0.0398054` Chr`12` : `6,466,081`	0.000	1.000	0.000
rs10875976 lBF = `0.0630127` Chr`12` : `50,226,467`	0.000	1.000	0.000
rs144850704 lBF = `-0.0207004` Chr`12` : `118,062,074`	0.000	1.000	0.000
rs10506410 lBF = `-0.0537281` Chr`12` : `60,797,703`	0.000	1.000	0.000
rs12425451 lBF = `-0.0805493` Chr`12` : `3,164,923`	0.000	1.000	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	1.000	0.000
rs11362332 lBF = `5.87161` Chr`12` : `27,993,726`	0.000	1.000	0.000
rs12811699 lBF = `0.0495048` Chr`12` : `105,017,164`	0.000	1.000	0.000
rs10748180 lBF = `0.0453805` Chr`12` : `72,071,045`	0.000	1.000	0.000
rs10861905 lBF = `-0.0137031` Chr`12` : `108,767,333`	0.000	1.000	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	1.000	0.000
rs10848820 lBF = `-0.00858932` Chr`12` : `3,296,948`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.000	1.000	0.000
rs10876550 lBF = `0.0278901` Chr`12` : `54,712,308`	0.000	1.000	0.000
rs11610873 lBF = `-0.0107365` Chr`12` : `106,955,544`	0.000	1.000	0.000
rs741627 lBF = `-0.0381518` Chr`12` : `114,206,076`	0.000	1.000	0.000
rs11174650 lBF = `-0.0389025` Chr`12` : `63,179,929`	0.000	1.000	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	1.000	0.000
rs2261181 lBF = `5.79392` Chr`12` : `66,212,318`	0.000	1.000	0.000
rs1521516 lBF = `5.57671` Chr`12` : `51,055,708`	0.000	1.000	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.000	1.000	0.000
rs7953508 lBF = `0.137069` Chr`12` : `93,983,554`	0.000	1.000	0.000
rs10843215 lBF = `-0.00711239` Chr`12` : `28,744,641`	0.000	1.000	0.000
rs10783615 lBF = `-0.0295621` Chr`12` : `54,349,773`	0.000	1.000	0.000
rs11175997 lBF = `12.485` Chr`12` : `66,401,444`	0.000	1.000	0.000
rs4357753 lBF = `5.99351` Chr`12` : `112,740,709`	0.000	1.000	0.000
rs4326844 lBF = `0.0234596` Chr`12` : `54,736,470`	0.000	1.000	0.000
rs11175194 lBF = `-0.0229417` Chr`12` : `64,264,837`	0.000	1.000	0.000
rs1650123 lBF = `-0.105022` Chr`12` : `104,034,319`	0.000	1.000	0.000
rs1727313 lBF = `4.61449` Chr`12` : `123,640,853`	0.000	1.000	0.000
rs66478310 lBF = `0.478704` Chr`12` : `108,842,376`	0.000	1.000	0.000
rs11049300 lBF = `0.0426733` Chr`12` : `28,195,125`	0.000	1.000	0.000
rs11060736 lBF = `-0.0122292` Chr`12` : `130,630,935`	0.000	1.000	0.000
rs10878340 lBF = `-0.0748584` Chr`12` : `40,695,095`	0.000	1.000	0.000
rs2638953 lBF = `-0.0943266` Chr`12` : `28,534,415`	0.000	1.000	0.000
rs258396 lBF = `7.51317` Chr`12` : `28,005,654`	0.000	1.000	0.000
rs2731439 lBF = `6.04848` Chr`12` : `51,060,350`	0.000	1.000	0.000
rs1971762 lBF = `0.0194533` Chr`12` : `54,058,238`	0.000	1.000	0.000
rs763564 lBF = `0.00364728` Chr`12` : `91,024,916`	0.000	1.000	0.000
rs11109142 lBF = `-0.00930259` Chr`12` : `98,027,691`	0.000	1.000	0.000
rs11830157 lBF = `-0.02838` Chr`12` : `118,265,441`	0.000	1.000	0.000
rs1979679 lBF = `-0.038459` Chr`12` : `28,406,515`	0.000	1.000	0.000
rs10774622 lBF = `16.6683` Chr`12` : `111,833,348`	0.000	1.000	0.000
rs1388585 lBF = `0.675794` Chr`12` : `40,531,691`	0.000	1.000	0.000
rs11610782 lBF = `0.575475` Chr`12` : `126,196,289`	0.000	1.000	0.000
rs10841397 lBF = `0.176142` Chr`12` : `20,063,968`	0.000	1.000	0.000
rs1880887 lBF = `0.0224167` Chr`12` : `41,721,430`	0.000	1.000	0.000
rs1513049 lBF = `0.00460279` Chr`12` : `17,362,816`	0.000	1.000	0.000
rs73267033 lBF = `0.00388123` Chr`12` : `7,864,476`	0.000	1.000	0.000
rs77464658 lBF = `-0.0198318` Chr`12` : `43,984,228`	0.000	1.000	0.000
rs17019682 lBF = `-0.0237381` Chr`12` : `92,305,270`	0.000	1.000	0.000
rs1569019 lBF = `-0.0293583` Chr`12` : `131,576,191`	0.000	1.000	0.000
rs10467147 lBF = `-0.0667442` Chr`12` : `40,767,362`	0.000	1.000	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.000	1.000	0.000
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.000	1.000	0.000
rs1485394 lBF = `0.454763` Chr`12` : `53,955,485`	0.000	1.000	0.000
rs11568563 lBF = `0.195457` Chr`12` : `21,457,434`	0.000	1.000	0.000
rs189010983 lBF = `0.0387565` Chr`12` : `84,086,176`	0.000	1.000	0.000
rs2417957 lBF = `0.0180002` Chr`12` : `21,323,611`	0.000	1.000	0.000
rs7979673 lBF = `0.00145938` Chr`12` : `66,227,257`	0.000	1.000	0.000
rs117595305 lBF = `-0.00996742` Chr`12` : `19,052,763`	0.000	1.000	0.000
rs71455379 lBF = `-0.0353711` Chr`12` : `11,558,877`	0.000	1.000	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.000	1.000	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.000	1.000	0.000
rs1531343 lBF = `3.25594` Chr`12` : `66,174,894`	0.000	1.000	0.000
rs10880784 lBF = `0.0419605` Chr`12` : `45,843,490`	0.000	1.000	0.000
rs3891355 lBF = `0.0189252` Chr`12` : `106,950,695`	0.000	1.000	0.000
rs939876 lBF = `0.0093031` Chr`12` : `65,252,118`	0.000	1.000	0.000
rs11175944 lBF = `0.00425637` Chr`12` : `66,256,395`	0.000	1.000	0.000
rs10491967 lBF = `-0.00420789` Chr`12` : `3,368,093`	0.000	1.000	0.000
rs17124610 lBF = `-0.00500773` Chr`12` : `61,549,081`	0.000	1.000	0.000
rs17095830 lBF = `-0.0101787` Chr`12` : `45,774,908`	0.000	1.000	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	1.000	0.000
rs7303433 lBF = `-0.0256936` Chr`12` : `23,640,479`	0.000	1.000	0.000
rs7135417 lBF = `-0.0328155` Chr`12` : `128,176,235`	0.000	1.000	0.000
rs1520724 lBF = `-0.0859024` Chr`12` : `94,865,477`	0.000	1.000	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	1.000	0.000
rs12316797 lBF = `1.37316` Chr`12` : `43,160,744`	0.000	1.000	0.000
rs17287293 lBF = `0.905142` Chr`12` : `24,770,878`	0.000	1.000	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.000	1.000	0.000
rs2289936 lBF = `0.0676215` Chr`12` : `65,471,467`	0.000	1.000	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	1.000	0.000
rs7306642 lBF = `0.0327926` Chr`12` : `104,139,034`	0.000	1.000	0.000
rs10506418 lBF = `0.0272495` Chr`12` : `61,488,772`	0.000	1.000	0.000
rs12812736 lBF = `-0.0119698` Chr`12` : `128,075,012`	0.000	1.000	0.000
rs790006 lBF = `-0.0175315` Chr`12` : `64,606,439`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

1.0000

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

1.0000

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9999

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9998

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9996

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9995

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9993

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9992

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9990

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9985

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9983

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9980

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9968

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9958

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9954

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9949

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9933

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9900

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9820

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9790

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9762

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9742

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9736

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9695

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9631

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9626

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9517

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9511

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9501

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9495

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9479

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9444

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9431

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9418

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9243

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9135

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9110

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9080

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9078

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8964

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8932

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8904

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8828

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8811

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8539

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8516

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8458

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8258

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7990

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7945

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7816

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7795

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7728

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7663

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7610

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7354

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7289

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7081

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6996

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6937

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6906

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6725

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6616

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6549

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6342

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6241

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6221

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6159

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5689

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5470

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5376

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5345

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5285

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5223

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5144

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5018

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4960

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4956

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4808

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4685

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4649

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4589

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4435

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4288

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4106

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4018

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3585

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3568

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3388

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3372

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3229

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3205

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3000

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2980

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2773

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2701

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2666

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2625

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2617

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2578

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2577

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2565

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2547

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2544

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2352

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2344

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2337

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2322

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2194

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2132

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2059

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1804

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1719

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1629

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1578

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1437

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1419

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1062

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1052

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0978

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0976

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0935

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0918

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0866

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0846

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0732

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0716

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0683

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0631

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0606

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0594

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0585

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0546

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0535

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0526

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0507

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.

Parent term	M25 Other joint disorders, not elsewhere classified
Nested terms	M25.50 Pain in joint (Multiple sites) M25.51 Pain in joint (Shoulder region) M25.52 Pain in joint (Upper arm) M25.53 Pain in joint (Forearm) M25.54 Pain in joint (Hand) M25.55 Pain in joint (Pelvic region and thigh) M25.56 Pain in joint (Lower leg) M25.57 Pain in joint (Ankle and foot) M25.58 Pain in joint (Other) M25.59 Pain in joint (Site unspecified)

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`)