TreeWAS – [M60] Myositis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

M60

Myositis

Parent term	M60-M63 Disorders of muscles
Nested terms	M60.0 Infective myositis M60.1 Interstitial myositis M60.2 Foreign body granuloma of soft tissue, not elsewhere classified M60.8 Other myositis M60.9 Myositis, unspecified

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Variant effects

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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
rs9264643 lBF = `205.849` Chr`6` : `31,238,492`	0.918	0.082	0.000
rs1130838 lBF = `200.175` Chr`6` : `31,237,124`	0.915	0.085	0.000
rs2524074 lBF = `235.669` Chr`6` : `31,244,021`	0.914	0.086	0.000
rs1049281 lBF = `198.992` Chr`6` : `31,236,567`	0.910	0.090	0.000
rs2516408 lBF = `239.914` Chr`6` : `31,463,491`	0.910	0.090	0.000
rs2534679 lBF = `240.859` Chr`6` : `31,463,790`	0.909	0.091	0.000
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	0.908	0.092	0.000
Affx-28458228 lBF = `241.371` Chr`6` : `31,474,000`	0.908	0.092	0.000
rs2516412 lBF = `240.991` Chr`6` : `31,462,321`	0.907	0.093	0.000
rs2534673 lBF = `239.531` Chr`6` : `31,465,490`	0.906	0.094	0.000
rs2844619 lBF = `160.352` Chr`6` : `31,242,223`	0.906	0.094	0.000
rs3129887 lBF = `251.48` Chr`6` : `32,410,691`	0.899	0.100	0.000
rs2246618 lBF = `235.038` Chr`6` : `31,478,986`	0.896	0.104	0.000
rs2857218 lBF = `123.609` Chr`6` : `32,855,340`	0.894	0.106	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.891	0.109	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.890	0.109	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	0.890	0.110	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.890	0.110	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.890	0.110	0.000
rs3135382 lBF = `251.263` Chr`6` : `32,383,441`	0.889	0.111	0.000
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	0.888	0.112	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.887	0.113	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.887	0.113	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.887	0.113	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.886	0.114	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.886	0.114	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.886	0.114	0.000
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	0.886	0.114	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.883	0.117	0.000
rs1015166 lBF = `175.874` Chr`6` : `32,798,731`	0.883	0.117	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.882	0.118	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.882	0.118	0.000
rs9276915 lBF = `130.737` Chr`6` : `32,865,911`	0.882	0.118	0.000
rs2395164 lBF = `251.794` Chr`6` : `32,387,860`	0.882	0.118	0.000
rs2523708 lBF = `235.06` Chr`6` : `31,451,279`	0.880	0.120	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.876	0.124	0.000
rs3135393 lBF = `255.761` Chr`6` : `32,408,842`	0.876	0.124	0.000
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.876	0.124	0.000
rs3129885 lBF = `252.857` Chr`6` : `32,410,215`	0.876	0.124	0.000
rs2239805 lBF = `253.83` Chr`6` : `32,411,376`	0.874	0.126	0.000
rs115317719 lBF = `253.324` Chr`6` : `32,412,005`	0.873	0.127	0.000
rs2516500 lBF = `218.481` Chr`6` : `31,453,640`	0.872	0.128	0.000
rs2239806 lBF = `250.007` Chr`6` : `32,411,307`	0.872	0.128	0.000
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	0.872	0.128	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.871	0.129	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.870	0.130	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.870	0.130	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.869	0.131	0.000
rs3135363 lBF = `65.8126` Chr`6` : `32,389,648`	0.868	0.132	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.868	0.132	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.864	0.136	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.863	0.137	0.000
rs2523700 lBF = `234.948` Chr`6` : `31,453,029`	0.863	0.137	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.863	0.137	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.861	0.139	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.859	0.141	0.000
rs2001099 lBF = `248.681` Chr`6` : `32,383,633`	0.857	0.143	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	0.857	0.143	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	0.857	0.143	0.000
rs3129884 lBF = `251.538` Chr`6` : `32,410,210`	0.856	0.144	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.855	0.145	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.855	0.145	0.000
rs2248459 lBF = `243.979` Chr`6` : `31,446,710`	0.854	0.146	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.854	0.146	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.853	0.147	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.853	0.147	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.852	0.148	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.851	0.149	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.851	0.149	0.000
rs3129891 lBF = `352.967` Chr`6` : `32,415,080`	0.851	0.149	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.850	0.150	0.000
rs2157338 lBF = `85.9562` Chr`6` : `32,439,323`	0.850	0.150	0.000
rs241398 lBF = `109.754` Chr`6` : `32,875,450`	0.849	0.151	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.848	0.152	0.000
rs2516415 lBF = `215.848` Chr`6` : `31,459,742`	0.848	0.152	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.847	0.153	0.000
rs2248617 lBF = `240.029` Chr`6` : `31,448,533`	0.846	0.154	0.000
rs9268856 lBF = `82.1309` Chr`6` : `32,429,719`	0.846	0.154	0.000
rs2516424 lBF = `237.207` Chr`6` : `31,448,315`	0.845	0.155	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.845	0.155	0.000
rs2248613 lBF = `238.537` Chr`6` : `31,448,432`	0.845	0.155	0.000
rs2243429 lBF = `238.954` Chr`6` : `31,446,820`	0.845	0.155	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.845	0.155	0.000
rs241402 lBF = `111.025` Chr`6` : `32,869,045`	0.844	0.156	0.000
rs2844502 lBF = `237.343` Chr`6` : `31,445,216`	0.844	0.156	0.000
rs2395488 lBF = `236.699` Chr`6` : `31,445,909`	0.843	0.157	0.000
rs9268977 lBF = `81.7979` Chr`6` : `32,434,939`	0.842	0.158	0.000
rs241404 lBF = `109.445` Chr`6` : `32,865,997`	0.842	0.158	0.000
rs9271489 lBF = `91.561` Chr`6` : `32,589,051`	0.840	0.160	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.840	0.160	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.840	0.160	0.000
rs2523587 lBF = `217.283` Chr`6` : `31,327,400`	0.839	0.161	0.000
rs17496332 lBF = `5.12119` Chr`1` : `107,546,375`	0.839	0.161	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.838	0.162	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.838	0.162	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.838	0.162	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.838	0.162	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.838	0.162	0.000
rs3129945 lBF = `86.3142` Chr`6` : `32,342,537`	0.837	0.163	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.837	0.163	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.836	0.164	0.000
rs3129878 lBF = `176.366` Chr`6` : `32,408,735`	0.836	0.164	0.000
rs9268973 lBF = `82.169` Chr`6` : `32,434,778`	0.835	0.164	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.835	0.165	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.835	0.165	0.000
rs9269149 lBF = `81.9951` Chr`6` : `32,445,660`	0.833	0.167	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.833	0.167	0.000
rs3117099 lBF = `87.0702` Chr`6` : `32,358,270`	0.833	0.167	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.831	0.169	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.831	0.169	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.830	0.170	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.830	0.170	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.829	0.171	0.000
rs241413 lBF = `104.732` Chr`6` : `32,859,000`	0.828	0.172	0.000
rs241414 lBF = `104.656` Chr`6` : `32,857,801`	0.828	0.172	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.827	0.173	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.826	0.174	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.825	0.175	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.825	0.175	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.824	0.176	0.000
rs9268885 lBF = `80.4183` Chr`6` : `32,431,705`	0.824	0.176	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.823	0.177	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.822	0.178	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.820	0.180	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.820	0.180	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.820	0.180	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.820	0.180	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.820	0.180	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.818	0.182	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.818	0.182	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	0.817	0.183	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.817	0.183	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.817	0.183	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.816	0.183	0.000
rs9271709 lBF = `90.5678` Chr`6` : `32,593,392`	0.816	0.184	0.000
rs735883 lBF = `97.4857` Chr`6` : `32,816,054`	0.816	0.184	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.815	0.185	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.814	0.186	0.000
rs9268862 lBF = `82.0613` Chr`6` : `32,430,167`	0.814	0.186	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.814	0.186	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.814	0.186	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.814	0.186	0.000
rs4434496 lBF = `81.5662` Chr`6` : `32,430,508`	0.814	0.186	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.813	0.187	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.813	0.187	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.813	0.187	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.812	0.188	0.000
rs9271894 lBF = `86.7233` Chr`6` : `32,595,874`	0.811	0.189	0.000
rs2358994 lBF = `56.0385` Chr`1` : `114,429,461`	0.808	0.192	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.808	0.192	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.805	0.195	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.804	0.195	0.000
rs11552449 lBF = `58.9658` Chr`1` : `114,448,389`	0.805	0.195	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.804	0.196	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.804	0.196	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.802	0.198	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.802	0.198	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.801	0.199	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.801	0.199	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.800	0.199	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.800	0.200	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.800	0.200	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.799	0.201	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.799	0.201	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.799	0.201	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.799	0.201	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.799	0.201	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.798	0.202	0.000
rs3129939 lBF = `115.58` Chr`6` : `32,336,766`	0.798	0.202	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.798	0.202	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.798	0.202	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.798	0.202	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.798	0.202	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.798	0.202	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.797	0.203	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.797	0.203	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.797	0.203	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.797	0.203	0.000
rs9271348 lBF = `305.289` Chr`6` : `32,583,742`	0.797	0.203	0.000
Affx-4564118 lBF = `58.8162` Chr`1` : `114,448,389`	0.796	0.203	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.796	0.203	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.796	0.204	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.796	0.204	0.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	0.795	0.205	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.795	0.205	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.795	0.205	0.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	0.795	0.205	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.795	0.205	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.795	0.205	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.794	0.205	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.795	0.205	0.000
rs3129872 lBF = `196.328` Chr`6` : `32,407,153`	0.794	0.206	0.000
rs2071465 lBF = `151.16` Chr`6` : `32,805,470`	0.793	0.207	0.000
rs2335077 lBF = `7.4893` Chr`1` : `107,573,565`	0.793	0.207	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.793	0.207	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.793	0.207	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.793	0.207	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.792	0.207	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.793	0.207	0.000
rs3129890 lBF = `86.6135` Chr`6` : `32,414,273`	0.793	0.207	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.792	0.208	0.000
rs9276810 lBF = `113.26` Chr`6` : `32,810,443`	0.792	0.208	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.791	0.209	0.000
rs3094122 lBF = `186.196` Chr`6` : `30,728,360`	0.791	0.209	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.790	0.210	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.790	0.210	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.790	0.210	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.789	0.211	0.000
rs5000563 lBF = `197.352` Chr`6` : `32,404,135`	0.789	0.211	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.788	0.212	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.787	0.213	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.786	0.214	0.000
rs2605100 lBF = `23.2251` Chr`1` : `219,644,224`	0.786	0.214	0.000
rs2050189 lBF = `49.4345` Chr`6` : `32,339,647`	0.785	0.215	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.785	0.215	0.000
rs983561 lBF = `196.714` Chr`6` : `32,403,655`	0.784	0.216	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.784	0.216	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.783	0.216	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.782	0.217	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.782	0.218	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.782	0.218	0.000
rs3129847 lBF = `196.01` Chr`6` : `32,396,506`	0.782	0.218	0.000
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.781	0.219	0.000
rs3135342 lBF = `195.973` Chr`6` : `32,396,615`	0.780	0.220	0.000
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.777	0.220	0.003
rs9276556 lBF = `47.6167` Chr`6` : `32,723,233`	0.780	0.220	0.000
rs4713598 lBF = `122.097` Chr`6` : `32,806,786`	0.778	0.222	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.778	0.222	0.000
rs2395181 lBF = `192.663` Chr`6` : `32,407,404`	0.777	0.223	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.777	0.223	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.776	0.224	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.776	0.224	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.775	0.225	0.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.775	0.225	0.000
rs6924102 lBF = `120.062` Chr`6` : `32,811,383`	0.775	0.225	0.000
rs3135339 lBF = `190.922` Chr`6` : `32,399,261`	0.775	0.225	0.000
rs3129846 lBF = `192.704` Chr`6` : `32,396,475`	0.773	0.227	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.773	0.227	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.772	0.228	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.771	0.229	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.771	0.229	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.770	0.230	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.770	0.230	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.769	0.231	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.769	0.231	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.769	0.231	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.769	0.231	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.769	0.231	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.768	0.232	0.000
rs3129877 lBF = `191.25` Chr`6` : `32,408,597`	0.768	0.232	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.768	0.232	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.768	0.232	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.768	0.232	0.000
rs9467711 lBF = `146.775` Chr`6` : `26,332,605`	0.768	0.232	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.768	0.232	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.768	0.232	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	0.768	0.232	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.767	0.232	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.767	0.233	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.767	0.233	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.767	0.233	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.766	0.234	0.000
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.766	0.234	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.765	0.235	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.764	0.236	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.764	0.236	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.764	0.236	0.000
rs9467704 lBF = `146.867` Chr`6` : `26,319,486`	0.764	0.236	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.763	0.237	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.762	0.238	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.762	0.238	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.761	0.239	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.758	0.242	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.757	0.243	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.757	0.243	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.755	0.244	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.755	0.245	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.755	0.245	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.755	0.245	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	0.755	0.245	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.754	0.246	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.753	0.246	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.753	0.247	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.753	0.247	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.752	0.248	0.000
rs73396800 lBF = `71.0876` Chr`6` : `32,914,726`	0.752	0.248	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.752	0.248	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.750	0.250	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.749	0.251	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.748	0.252	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.746	0.254	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.746	0.254	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.745	0.254	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.745	0.255	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.744	0.255	0.000
rs3129853 lBF = `195.43` Chr`6` : `32,398,648`	0.744	0.256	0.000
rs10484439 lBF = `159.711` Chr`6` : `26,309,908`	0.744	0.256	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.743	0.257	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.743	0.257	0.000
rs1264372 lBF = `207.802` Chr`6` : `30,769,726`	0.743	0.257	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.742	0.258	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.742	0.258	0.000
rs9491891 lBF = `4.23462` Chr`6` : `128,277,151`	0.742	0.258	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.741	0.259	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.740	0.260	0.000
rs886403 lBF = `186.516` Chr`6` : `30,957,618`	0.740	0.260	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.739	0.261	0.000
rs9276555 lBF = `47.5727` Chr`6` : `32,722,754`	0.739	0.261	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.739	0.261	0.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	0.739	0.261	0.000
rs2844657 lBF = `213.204` Chr`6` : `30,829,522`	0.738	0.262	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.738	0.262	0.000
rs9257802 lBF = `148.114` Chr`6` : `29,343,355`	0.737	0.262	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.737	0.263	0.001
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.737	0.263	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.736	0.264	0.000
rs3129881 lBF = `192.81` Chr`6` : `32,409,484`	0.736	0.264	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.736	0.264	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.735	0.265	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.735	0.265	0.000
rs3129876 lBF = `192.519` Chr`6` : `32,408,012`	0.734	0.266	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.733	0.267	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.733	0.267	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.732	0.268	0.000
rs3129858 lBF = `193.082` Chr`6` : `32,400,520`	0.731	0.269	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.730	0.269	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.730	0.270	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.730	0.270	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.730	0.270	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.729	0.271	0.000
rs2844659 lBF = `220.674` Chr`6` : `30,824,532`	0.729	0.271	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.729	0.271	0.000
rs1233478 lBF = `170.338` Chr`6` : `29,477,821`	0.729	0.271	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.727	0.273	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.727	0.273	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.727	0.273	0.000
rs10221903 lBF = `5.99013` Chr`2` : `69,679,500`	0.726	0.274	0.000
rs113529884 lBF = `245.207` Chr`6` : `32,553,828`	0.726	0.274	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.725	0.274	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.725	0.274	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.725	0.275	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.725	0.275	0.000
rs6546511 lBF = `8.68057` Chr`2` : `69,615,295`	0.725	0.275	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.724	0.276	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.724	0.276	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.724	0.276	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.724	0.276	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.723	0.277	0.000
rs1264703 lBF = `126.619` Chr`6` : `30,065,416`	0.723	0.277	0.000
rs1264697 lBF = `126.609` Chr`6` : `30,067,568`	0.723	0.277	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.723	0.277	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.722	0.278	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.722	0.278	0.000
rs2517576 lBF = `219.555` Chr`6` : `30,815,035`	0.722	0.278	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.721	0.279	0.000
rs2844796 lBF = `127.837` Chr`6` : `30,072,511`	0.721	0.279	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.721	0.279	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.720	0.279	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.720	0.280	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.720	0.280	0.000
rs1230666 lBF = `94.679` Chr`1` : `114,173,410`	0.000	0.281	0.719
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.718	0.282	0.000
rs1264702 lBF = `125.644` Chr`6` : `30,065,575`	0.718	0.282	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	0.717	0.282	0.001
rs1264319 lBF = `221.853` Chr`6` : `30,862,423`	0.718	0.282	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.717	0.282	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.717	0.283	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.717	0.283	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.717	0.283	0.000
rs3131036 lBF = `180.885` Chr`6` : `30,728,290`	0.716	0.284	0.000
rs9276607 lBF = `45.6467` Chr`6` : `32,737,257`	0.715	0.285	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.715	0.285	0.000
rs6546509 lBF = `8.67406` Chr`2` : `69,602,633`	0.715	0.285	0.000
rs2517425 lBF = `183.674` Chr`6` : `30,949,670`	0.715	0.285	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.714	0.286	0.000
rs9275399 lBF = `243.294` Chr`6` : `32,669,712`	0.714	0.286	0.000
rs3094084 lBF = `78.5529` Chr`6` : `30,947,509`	0.713	0.286	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.713	0.287	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.712	0.288	0.000
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rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	0.710	0.290	0.000
rs1634714 lBF = `80.1762` Chr`6` : `30,951,561`	0.710	0.290	0.000
rs3095085 lBF = `183.79` Chr`6` : `30,937,377`	0.709	0.291	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.709	0.291	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.707	0.292	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.707	0.293	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.705	0.295	0.000
rs13195402 lBF = `163.895` Chr`6` : `26,463,575`	0.705	0.295	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.705	0.295	0.000
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rs9275406 lBF = `241.305` Chr`6` : `32,669,955`	0.704	0.296	0.000
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rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.703	0.297	0.000
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rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.702	0.298	0.000
rs356971 lBF = `170.044` Chr`6` : `29,979,797`	0.702	0.298	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.702	0.298	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.701	0.299	0.000
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rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.701	0.299	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.701	0.299	0.000
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rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.701	0.299	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.701	0.299	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.701	0.299	0.000
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rs1633021 lBF = `104.806` Chr`6` : `29,746,869`	0.700	0.300	0.000
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	0.700	0.300	0.000
rs6679677 lBF = `148.434` Chr`1` : `114,303,808`	0.699	0.300	0.000
rs9275407 lBF = `237.54` Chr`6` : `32,670,037`	0.699	0.301	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.699	0.301	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.698	0.302	0.000
rs7749823 lBF = `90.5695` Chr`6` : `26,158,079`	0.698	0.302	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.698	0.302	0.000
rs10777534 lBF = `5.44821` Chr`12` : `94,084,878`	0.698	0.302	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.698	0.302	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.698	0.302	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.697	0.303	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.697	0.303	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	0.696	0.304	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.696	0.304	0.001
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.696	0.304	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.696	0.304	0.000
rs2647045 lBF = `95.9667` Chr`6` : `32,668,100`	0.696	0.304	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.696	0.304	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.696	0.304	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.696	0.304	0.000
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	0.305	0.695
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.695	0.305	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.695	0.305	0.000
rs3132579 lBF = `79.6756` Chr`6` : `30,940,989`	0.695	0.305	0.000
rs3129882 lBF = `286.214` Chr`6` : `32,409,530`	0.000	0.305	0.695
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.695	0.305	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.695	0.305	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.695	0.305	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.694	0.305	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.694	0.306	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.694	0.306	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.694	0.306	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.694	0.306	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.693	0.307	0.000
rs12046289 lBF = `24.5034` Chr`1` : `114,451,386`	0.693	0.307	0.000
rs1634718 lBF = `188.06` Chr`6` : `30,972,865`	0.693	0.307	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.693	0.307	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.693	0.307	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.692	0.308	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.692	0.308	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.692	0.308	0.000
rs1264695 lBF = `122.611` Chr`6` : `30,067,892`	0.692	0.308	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.692	0.308	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.692	0.308	0.000
rs7559850 lBF = `6.25029` Chr`2` : `69,648,520`	0.692	0.308	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	0.691	0.308	0.000
rs9275388 lBF = `241.462` Chr`6` : `32,669,084`	0.691	0.309	0.000
rs4452638 lBF = `132.117` Chr`6` : `27,229,265`	0.691	0.309	0.000
rs9275418 lBF = `240.862` Chr`6` : `32,670,244`	0.690	0.309	0.000
rs13219354 lBF = `133.323` Chr`6` : `27,185,664`	0.688	0.312	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	0.687	0.313	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.687	0.313	0.000
rs9275375 lBF = `239.212` Chr`6` : `32,668,632`	0.686	0.314	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.686	0.314	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.686	0.314	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.685	0.314	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.685	0.315	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.685	0.315	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.685	0.315	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.685	0.315	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.685	0.315	0.000
rs2747430 lBF = `57.6451` Chr`6` : `29,648,506`	0.685	0.315	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.685	0.315	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.684	0.316	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.684	0.316	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.684	0.316	0.000
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.684	0.316	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.683	0.317	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.683	0.317	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.683	0.317	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.683	0.317	0.000
rs2734985 lBF = `103.334` Chr`6` : `29,818,662`	0.682	0.318	0.000
rs6923504 lBF = `250.735` Chr`6` : `32,428,186`	0.000	0.318	0.682
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.682	0.318	0.000
rs445150 lBF = `57.6746` Chr`6` : `29,646,879`	0.682	0.318	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.682	0.318	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.681	0.319	0.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.681	0.319	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.681	0.319	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.681	0.319	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.681	0.319	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	0.000	0.319	0.681
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.680	0.320	0.000
rs9269081 lBF = `250.357` Chr`6` : `32,441,100`	0.000	0.320	0.680
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.680	0.320	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.680	0.320	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.679	0.321	0.000
rs2284169 lBF = `39.125` Chr`6` : `30,172,385`	0.679	0.321	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 X0080

log Bayes Factor = 455.123

contains 21 variants

0.9985

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9966

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9944

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.9924

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.9819

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.9799

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9768

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9762

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9711

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.9702

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9695

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9599

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.9505

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9451

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.9439

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9384

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9358

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9341

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9310

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9254

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9229

Cluster X0196

log Bayes Factor = 301.726

contains 18 variants

0.9196

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.9138

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9096

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9062

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9052

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9048

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8973

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8959

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8918

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8855

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8758

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8746

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8740

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8685

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.8572

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8548

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8514

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8508

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.8502

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8486

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8479

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8423

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8243

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8233

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8069

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8062

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8055

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7993

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7982

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7934

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.7915

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7912

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.7884

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7883

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7872

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7849

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7847

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7819

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7780

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7770

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.7732

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7731

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7623

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7618

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7609

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7590

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7578

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7576

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7575

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7570

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7555

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7541

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7519

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7518

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7502

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7493

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7483

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7454

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7442

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7435

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7408

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7404

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7360

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7342

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7325

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7270

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7262

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7164

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7164

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7161

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7161

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7158

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7144

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7130

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7117

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7092

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7090

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7076

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7075

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7065

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7054

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7044

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7033

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7031

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7008

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6972

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6968

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6964

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6945

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6944

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6931

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6916

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6883

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6842

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6835

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6809

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6799

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6799

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6782

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6761

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6667

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6661

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6659

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6647

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6636

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6633

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6624

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6616

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6594

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6584

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6564

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6545

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6536

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6515

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6476

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6428

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6427

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6415

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6412

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6315

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6288

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6247

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6219

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6186

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6166

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6162

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6146

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6145

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.6140

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.6135

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6127

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6117

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6115

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6097

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6071

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6046

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6033

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6016

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6013

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6001

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6000

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5956

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5948

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5948

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5942

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5940

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5928

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5918

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5910

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5906

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5899

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5899

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5888

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5837

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5825

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5823

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5820

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5755

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5753

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5701

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5692

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5679

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5649

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5639

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5626

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5622

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5620

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5618

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5593

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5577

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5562

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5547

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5537

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5528

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5504

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5490

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5485

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5464

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5449

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5433

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5422

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5403

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5386

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5351

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5346

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5288

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5253

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5140

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4936

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4848

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4118

Cluster X0198

log Bayes Factor = 97.078

contains 5 variants

0.3958

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3772

Cluster X0008

log Bayes Factor = 181.456

contains 14 variants

0.3481

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3413

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.3399

Cluster X0316

log Bayes Factor = 72.3178

contains 4 variants

0.3246

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2784

Cluster X0011

log Bayes Factor = 138.832

contains 11 variants

0.2439

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1714

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1424

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.1072

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0640

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)

Hospitalization Episode Statistics (`HES`)