TreeWAS – [M13.95] Arthritis, unspecified (Pelvic region and thigh)

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
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.696	0.304	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.685	0.315	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.665	0.335	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.653	0.347	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.633	0.367	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.621	0.379	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.607	0.393	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.568	0.432	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.566	0.434	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.549	0.451	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.505	0.495	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.481	0.519	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.468	0.532	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.448	0.552	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.400	0.600	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.395	0.605	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.375	0.624	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.365	0.635	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.351	0.649	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.351	0.649	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.315	0.685	0.000
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.270	0.730	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.264	0.736	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.263	0.737	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.253	0.747	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.252	0.747	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.243	0.756	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.238	0.762	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.229	0.770	0.001
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.224	0.776	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.221	0.779	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.217	0.783	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.206	0.794	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.204	0.796	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.203	0.797	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.201	0.799	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.198	0.802	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.190	0.810	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.184	0.816	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.183	0.816	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.179	0.821	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.171	0.829	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.151	0.848	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.148	0.852	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.148	0.852	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.145	0.855	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.142	0.858	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.140	0.860	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.137	0.863	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.132	0.868	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.123	0.877	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.122	0.878	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.122	0.878	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.117	0.883	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.115	0.885	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.114	0.886	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.112	0.888	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.111	0.888	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.110	0.890	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.105	0.895	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.104	0.895	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.095	0.905	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.091	0.909	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.087	0.913	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.086	0.913	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.083	0.917	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.076	0.924	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.072	0.927	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.068	0.932	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.000	0.933	0.066
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.063	0.937	0.000
rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.045	0.955	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.043	0.957	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.042	0.957	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.041	0.959	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.039	0.961	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.038	0.962	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.037	0.963	0.000
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.034	0.966	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.033	0.966	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.031	0.968	0.001
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.027	0.973	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.026	0.973	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.026	0.974	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.024	0.976	0.000
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.024	0.976	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.023	0.977	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.023	0.977	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.022	0.977	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.023	0.977	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.022	0.977	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.023	0.977	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.022	0.978	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.021	0.979	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.021	0.979	0.000
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.019	0.981	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.018	0.982	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.016	0.983	0.001
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.016	0.984	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.016	0.984	0.000
rs10412972 lBF = `-0.0458903` Chr`19` : `52,154,905`	0.014	0.986	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.014	0.986	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.013	0.986	0.001
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.013	0.986	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.013	0.987	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.013	0.987	0.000
rs17764205 lBF = `0.0609106` Chr`19` : `3,251,219`	0.013	0.987	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.013	0.987	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.012	0.988	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.012	0.988	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.012	0.988	0.000
rs12019136 lBF = `1.10679` Chr`19` : `5,835,677`	0.011	0.989	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.011	0.989	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.011	0.989	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.010	0.989	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.010	0.990	0.000
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.990	0.010
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.010	0.990	0.000
rs103294 lBF = `-0.00760096` Chr`19` : `54,797,848`	0.010	0.990	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.010	0.990	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.009	0.991	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.009	0.991	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.007	0.992	0.000
rs1862471 lBF = `-0.0349275` Chr`19` : `10,000,322`	0.000	0.993	0.007
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.007	0.993	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.007	0.993	0.000
rs7250071 lBF = `0.458713` Chr`19` : `10,765,819`	0.000	0.993	0.007
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.007	0.993	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.006	0.993	0.000
rs386000 lBF = `-0.0508419` Chr`19` : `54,792,761`	0.006	0.994	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.006	0.994	0.000
rs7248104 lBF = `1.00902` Chr`19` : `7,224,431`	0.000	0.994	0.006
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.006	0.994	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.006	0.994	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.006	0.994	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.005	0.994	0.001
rs10416963 lBF = `-0.0364009` Chr`19` : `17,762,890`	0.000	0.994	0.006
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.006	0.994	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.006	0.994	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.005	0.995	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.005	0.995	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.005	0.995	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.004	0.995	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.005	0.995	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.004	0.995	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.004	0.996	0.000
rs7248363 lBF = `-0.0830945` Chr`19` : `18,467,886`	0.004	0.996	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.004	0.996	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.003	0.997	0.000
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	0.997	0.003
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	0.997	0.003
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.003	0.997	0.000
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.003	0.997	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.003	0.997	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.003	0.997	0.000
rs1801272 lBF = `0.25333` Chr`19` : `41,354,533`	0.000	0.997	0.002
rs4804416 lBF = `2.77307` Chr`19` : `7,223,848`	0.003	0.997	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.002	0.998	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.002	0.998	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.002	0.998	0.000
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.002	0.998	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.002	0.998	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.002	0.998	0.000
rs7249094 lBF = `-0.00980267` Chr`19` : `8,672,000`	0.000	0.998	0.002
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.002	0.998	0.000
rs443874 lBF = `0.0159284` Chr`19` : `54,779,389`	0.002	0.998	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	0.998	0.002
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.002	0.998	0.000
rs8192733 lBF = `-0.0561514` Chr`19` : `41,349,550`	0.002	0.998	0.000
rs28399637 lBF = `12.56` Chr`19` : `45,324,138`	0.002	0.998	0.000
rs12460587 lBF = `0.0144181` Chr`19` : `52,586,919`	0.000	0.998	0.002
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	0.998	0.001
rs2292342 lBF = `0.042879` Chr`19` : `49,118,371`	0.001	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.999	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.001	0.999	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.000	0.999	0.001
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	0.999	0.001
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.001	0.999	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.000	0.999	0.001
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.001	0.999	0.000
rs167479 lBF = `18.201` Chr`19` : `11,526,765`	0.001	0.999	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.000	0.999	0.001
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs140878064 lBF = `0.0241025` Chr`19` : `41,321,954`	0.000	0.999	0.001
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs10411936 lBF = `-0.0829076` Chr`19` : `16,548,375`	0.001	0.999	0.000
rs12461964 lBF = `0.033539` Chr`19` : `41,341,229`	0.001	0.999	0.000
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.001	0.999	0.000
rs79546472 lBF = `0.0357043` Chr`19` : `56,173,377`	0.000	0.999	0.001
rs56159542 lBF = `0.0320746` Chr`19` : `19,682,971`	0.001	0.999	0.000
rs4803370 lBF = `0.0241074` Chr`19` : `41,317,934`	0.000	0.999	0.001
rs117391664 lBF = `0.0240452` Chr`19` : `41,309,150`	0.000	0.999	0.001
rs117821847 lBF = `0.0239638` Chr`19` : `41,310,888`	0.000	0.999	0.001
rs144553930 lBF = `0.0238036` Chr`19` : `41,313,261`	0.000	0.999	0.001
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rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.000	1.000	0.000
rs56113850 lBF = `0.341301` Chr`19` : `41,353,107`	0.000	1.000	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs12986207 lBF = `-0.049548` Chr`19` : `29,903,677`	0.000	1.000	0.000
rs7260329 lBF = `-0.0683905` Chr`19` : `41,521,638`	0.000	1.000	0.000
rs2043305 lBF = `7.94393` Chr`19` : `10,728,320`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	1.000	0.000
rs4805924 lBF = `-0.0160811` Chr`19` : `34,168,273`	0.000	1.000	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.000	1.000	0.000
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.000	1.000	0.000
rs2546057 lBF = `-0.0933029` Chr`19` : `34,320,854`	0.000	1.000	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	1.000	0.000
rs8106664 lBF = `7.5182` Chr`19` : `10,728,030`	0.000	1.000	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.000	1.000	0.000
rs1051738 lBF = `0.448887` Chr`19` : `10,577,843`	0.000	1.000	0.000
rs11672691 lBF = `0.195642` Chr`19` : `41,985,587`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs7245858 lBF = `0.0903378` Chr`19` : `51,430,596`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.000	1.000	0.000
rs8100480 lBF = `0.00273395` Chr`19` : `19,299,079`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs17638629 lBF = `-0.0434049` Chr`19` : `12,225,372`	0.000	1.000	0.000
rs56873913 lBF = `-0.055002` Chr`19` : `50,091,199`	0.000	1.000	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	1.000	0.000
rs270776 lBF = `-0.0753872` Chr`19` : `55,222,807`	0.000	1.000	0.000
rs2361797 lBF = `-0.0783192` Chr`19` : `54,753,543`	0.000	1.000	0.000
rs8112449 lBF = `-0.0804357` Chr`19` : `10,520,064`	0.000	1.000	0.000
rs11668505 lBF = `-0.114238` Chr`19` : `48,348,363`	0.000	1.000	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.000	1.000	0.000
rs62131887 lBF = `2.68819` Chr`19` : `10,587,596`	0.000	1.000	0.000
rs17356664 lBF = `0.684789` Chr`19` : `45,740,771`	0.000	1.000	0.000
rs6509942 lBF = `0.344033` Chr`19` : `30,554,951`	0.000	1.000	0.000
rs8012 lBF = `0.224737` Chr`19` : `13,010,520`	0.000	1.000	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs2111504 lBF = `0.0368977` Chr`19` : `32,917,455`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs8102683 lBF = `-0.0219706` Chr`19` : `41,363,765`	0.000	1.000	0.000
rs17726276 lBF = `-0.036061` Chr`19` : `41,291,119`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs1865075 lBF = `-0.0727677` Chr`19` : `22,554,854`	0.000	1.000	0.000
rs10404998 lBF = `-0.0733092` Chr`19` : `22,608,374`	0.000	1.000	0.000
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.000	1.000	0.000
rs1363326 lBF = `-0.0828841` Chr`19` : `29,325,650`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	1.000	0.000
rs3764628 lBF = `0.0321825` Chr`19` : `18,747,605`	0.000	1.000	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	1.000	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.000	1.000	0.000
rs874628 lBF = `-0.0124927` Chr`19` : `18,304,700`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	1.000	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs875622 lBF = `-0.0775663` Chr`19` : `16,467,759`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs769450 lBF = `9.73216` Chr`19` : `45,410,444`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs2075710 lBF = `6.70349` Chr`19` : `1,106,845`	0.000	1.000	0.000
rs16986856 lBF = `0.891232` Chr`19` : `56,497,960`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	1.000	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	1.000	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.000	1.000	0.000
rs4808801 lBF = `-0.0174961` Chr`19` : `18,571,141`	0.000	1.000	0.000
rs12973666 lBF = `-0.0358025` Chr`19` : `41,289,397`	0.000	1.000	0.000
rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.000	1.000	0.000
rs644148 lBF = `-0.0431377` Chr`19` : `44,970,935`	0.000	1.000	0.000
rs299175 lBF = `-0.0556343` Chr`19` : `56,313,528`	0.000	1.000	0.000
rs2302063 lBF = `-0.0678337` Chr`19` : `3,150,418`	0.000	1.000	0.000
rs892085 lBF = `-0.0783534` Chr`19` : `10,818,092`	0.000	1.000	0.000
rs12610495 lBF = `-0.0868982` Chr`19` : `4,717,672`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs9797861 lBF = `7.3882` Chr`19` : `10,743,126`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs2965169 lBF = `5.30117` Chr`19` : `45,251,156`	0.000	1.000	0.000
rs2024092 lBF = `2.7894` Chr`19` : `1,124,031`	0.000	1.000	0.000
rs6510827 lBF = `2.40129` Chr`19` : `4,830,628`	0.000	1.000	0.000
rs17694108 lBF = `1.03939` Chr`19` : `33,731,551`	0.000	1.000	0.000
rs280519 lBF = `0.528063` Chr`19` : `10,472,933`	0.000	1.000	0.000
rs1035942 lBF = `0.182878` Chr`19` : `7,199,803`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.000	1.000	0.000
rs8106493 lBF = `-0.00271111` Chr`19` : `33,713,928`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.000	1.000	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	1.000	0.000
rs8109848 lBF = `-0.0245277` Chr`19` : `41,522,069`	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 X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9781

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9755

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9538

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9498

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9427

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9325

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9283

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9106

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9060

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8995

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8930

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8907

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8833

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8662

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8470

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8423

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8418

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8309

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8199

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8042

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7932

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.7740

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7734

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7694

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7495

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7395

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7238

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7223

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7171

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6890

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6467

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6155

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6125

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5741

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5579

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5449

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5357

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5338

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5209

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5143

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5129

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4857

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4641

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4498

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4459

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4291

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4115

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3062

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2953

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2701

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2523

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2382

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2321

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2318

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2310

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1938

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1927

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1924

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1922

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1881

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1778

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1746

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1713

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1657

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1324

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1290

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1284

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1277

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1156

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1144

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1099

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1002

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0911

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0825

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0823

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0815

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0806

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0785

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0608

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0604

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0587

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0583

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0568

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0537

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0518

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0517

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0515

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`)