TreeWAS – [M79.09] Rheumatism, unspecified (Site unspecified)

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
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.872	0.128	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.864	0.136	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.698	0.302	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.595	0.405	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.594	0.405	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.590	0.410	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.573	0.427	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.570	0.430	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.564	0.436	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.552	0.448	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.549	0.451	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.517	0.483	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.516	0.484	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.512	0.488	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.506	0.494	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.483	0.517	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.478	0.522	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.469	0.531	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.461	0.539	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.448	0.552	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.439	0.561	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.427	0.573	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.408	0.591	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.401	0.599	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.382	0.618	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.368	0.632	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.361	0.639	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.350	0.649	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.333	0.666	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.332	0.668	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.332	0.668	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.321	0.679	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.321	0.679	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.318	0.682	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.305	0.694	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.295	0.705	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.287	0.713	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.263	0.737	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.259	0.741	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.250	0.750	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.247	0.752	0.001
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.243	0.757	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.241	0.759	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.228	0.772	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.221	0.778	0.001
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.219	0.781	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.217	0.783	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.215	0.785	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.208	0.792	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.201	0.799	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.192	0.807	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.186	0.814	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.183	0.816	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.183	0.817	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.178	0.821	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.169	0.831	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.163	0.837	0.000
rs34725611 lBF = `1.29016` Chr`19` : `10,477,067`	0.161	0.839	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.160	0.840	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.160	0.840	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.156	0.844	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.144	0.856	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.140	0.859	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.139	0.861	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.138	0.862	0.001
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.133	0.867	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.130	0.870	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.128	0.872	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.119	0.880	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.115	0.885	0.000
rs2304256 lBF = `1.51359` Chr`19` : `10,475,652`	0.113	0.887	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.111	0.889	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.110	0.889	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.108	0.891	0.001
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.108	0.892	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.101	0.899	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.099	0.900	0.001
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.094	0.906	0.000
rs280519 lBF = `0.528063` Chr`19` : `10,472,933`	0.090	0.910	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.085	0.915	0.000
rs11085727 lBF = `1.40057` Chr`19` : `10,466,123`	0.085	0.915	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.084	0.916	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.083	0.917	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.074	0.926	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.073	0.926	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.070	0.930	0.000
rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.069	0.931	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.063	0.936	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.063	0.937	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.059	0.941	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.056	0.944	0.001
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.055	0.945	0.001
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.054	0.946	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.050	0.950	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.048	0.952	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.041	0.959	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.038	0.962	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.038	0.962	0.000
rs11879191 lBF = `0.330898` Chr`19` : `10,512,911`	0.037	0.963	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.037	0.963	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.037	0.963	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.033	0.966	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.026	0.974	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.025	0.975	0.000
rs7254192 lBF = `-0.0227475` Chr`19` : `41,273,699`	0.023	0.977	0.000
rs2279011 lBF = `-0.016248` Chr`19` : `41,269,288`	0.023	0.977	0.000
rs35164067 lBF = `0.27608` Chr`19` : `10,525,181`	0.022	0.978	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.019	0.981	0.000
rs2569507 lBF = `0.163142` Chr`19` : `10,798,904`	0.000	0.981	0.019
rs644148 lBF = `-0.0431377` Chr`19` : `44,970,935`	0.000	0.984	0.016
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	0.985	0.015
rs17764205 lBF = `0.0609106` Chr`19` : `3,251,219`	0.014	0.986	0.000
rs7937 lBF = `0.114849` Chr`19` : `41,302,706`	0.013	0.987	0.000
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.013	0.987	0.000
rs7258015 lBF = `0.420742` Chr`19` : `10,449,358`	0.000	0.988	0.012
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.011	0.988	0.000
rs17726276 lBF = `-0.036061` Chr`19` : `41,291,119`	0.012	0.988	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	0.989	0.011
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.011	0.989	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.011	0.989	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.010	0.989	0.000
rs1871045 lBF = `-0.012243` Chr`19` : `45,326,768`	0.011	0.989	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.010	0.989	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.010	0.990	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.009	0.990	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.009	0.991	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.009	0.991	0.000
rs12973666 lBF = `-0.0358025` Chr`19` : `41,289,397`	0.009	0.991	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.001	0.992	0.007
rs1434579 lBF = `-0.0763562` Chr`19` : `44,932,972`	0.008	0.992	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.007	0.993	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.007	0.993	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.006	0.994	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.006	0.994	0.000
rs7260329 lBF = `-0.0683905` Chr`19` : `41,521,638`	0.000	0.994	0.006
rs79546472 lBF = `0.0357043` Chr`19` : `56,173,377`	0.005	0.995	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.005	0.995	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.005	0.995	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.005	0.995	0.000
rs77866734 lBF = `0.0462773` Chr`19` : `1,637,052`	0.000	0.995	0.005
rs1354774 lBF = `0.514863` Chr`19` : `51,393,118`	0.004	0.996	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.004	0.996	0.000
rs10119 lBF = `49.8817` Chr`19` : `45,406,673`	0.004	0.996	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.004	0.996	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.003	0.996	0.001
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.003	0.996	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.004	0.996	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	0.996	0.004
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.004	0.996	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.004	0.996	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.003	0.997	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.003	0.997	0.000
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.997	0.003
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.003	0.997	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.003	0.997	0.000
rs12972990 lBF = `-0.0273081` Chr`19` : `10,406,431`	0.000	0.997	0.003
rs5498 lBF = `-0.00771433` Chr`19` : `10,395,683`	0.000	0.997	0.003
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.003	0.997	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.003	0.997	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.003	0.997	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.003	0.997	0.000
rs12986413 lBF = `-0.0520656` Chr`19` : `2,170,954`	0.000	0.997	0.003
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	0.997	0.003
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.003	0.997	0.000
rs8100480 lBF = `0.00273395` Chr`19` : `19,299,079`	0.003	0.997	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	0.997	0.003
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.002	0.997	0.001
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	0.997	0.003
rs10423674 lBF = `0.226024` Chr`19` : `18,817,903`	0.000	0.997	0.003
rs1051738 lBF = `0.448887` Chr`19` : `10,577,843`	0.003	0.997	0.000
rs7253117 lBF = `8.58485` Chr`19` : `17,844,894`	0.000	0.997	0.003
rs2306969 lBF = `-0.00598812` Chr`19` : `5,851,801`	0.000	0.997	0.003
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.002	0.997	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.002	0.998	0.000
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.002	0.998	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.001	0.998	0.001
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.000	0.998	0.002
rs13181 lBF = `-0.0506137` Chr`19` : `45,854,919`	0.000	0.998	0.002
rs3093030 lBF = `-0.0234245` Chr`19` : `10,397,403`	0.000	0.998	0.002
rs12162222 lBF = `6.89005` Chr`19` : `45,348,522`	0.000	0.998	0.002
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.002	0.998	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	0.998	0.002
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.998	0.002
rs519113 lBF = `-0.0527793` Chr`19` : `45,376,284`	0.002	0.998	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.002	0.998	0.000
rs8109848 lBF = `-0.0245277` Chr`19` : `41,522,069`	0.000	0.998	0.002
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.002	0.998	0.000
rs62120679 lBF = `-0.094695` Chr`19` : `2,363,319`	0.002	0.998	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	0.998	0.002
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.002	0.998	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.001	0.998	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.002	0.998	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.002	0.998	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.002	0.998	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.001	0.998	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.001	0.998	0.000
rs8102380 lBF = `0.250001` Chr`19` : `10,801,185`	0.000	0.998	0.002
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.002	0.998	0.000
rs3745567 lBF = `-0.0219734` Chr`19` : `6,690,771`	0.000	0.998	0.002
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.001	0.998	0.001
rs10406174 lBF = `-0.0446399` Chr`19` : `3,944,240`	0.001	0.998	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.001	0.998	0.000
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rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.000	1.000	0.000
rs2191566 lBF = `-0.0610774` Chr`19` : `44,511,389`	0.000	1.000	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.000	1.000	0.000
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.000	1.000	0.000
rs7249142 lBF = `0.0442277` Chr`19` : `19,276,359`	0.000	1.000	0.000
rs2301659 lBF = `0.0306604` Chr`19` : `19,035,354`	0.000	1.000	0.000
rs12052157 lBF = `-0.0391384` Chr`19` : `56,598,123`	0.000	1.000	0.000
rs7248363 lBF = `-0.0830945` Chr`19` : `18,467,886`	0.000	1.000	0.000
rs12052058 lBF = `10.6082` Chr`19` : `11,159,525`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs10424878 lBF = `2.01027` Chr`19` : `51,374,967`	0.000	1.000	0.000
rs115436704 lBF = `0.372697` Chr`19` : `17,307,813`	0.000	1.000	0.000
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.000	1.000	0.000
rs34232444 lBF = `-0.00847131` Chr`19` : `4,965,404`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs7245959 lBF = `-0.0552497` Chr`19` : `31,379,109`	0.000	1.000	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	1.000	0.000
rs892085 lBF = `-0.0783534` Chr`19` : `10,818,092`	0.000	1.000	0.000
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs8099917 lBF = `0.0629772` Chr`19` : `39,743,165`	0.000	1.000	0.000
rs16964543 lBF = `0.0583383` Chr`19` : `31,185,210`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs12019136 lBF = `1.10679` Chr`19` : `5,835,677`	0.000	1.000	0.000
rs17694108 lBF = `1.03939` Chr`19` : `33,731,551`	0.000	1.000	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.000	1.000	0.000
rs3892630 lBF = `-0.0340664` Chr`19` : `33,181,484`	0.000	1.000	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	1.000	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.000	1.000	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.000	1.000	0.000
rs62110082 lBF = `0.123822` Chr`19` : `52,338,641`	0.000	1.000	0.000
rs2230199 lBF = `0.00787425` Chr`19` : `6,718,387`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs10414410 lBF = `-0.0561404` Chr`19` : `30,086,007`	0.000	1.000	0.000
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.000	1.000	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.000	1.000	0.000
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	1.000	0.000
rs73045269 lBF = `12.3061` Chr`19` : `41,825,191`	0.000	1.000	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	1.000	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.000	1.000	0.000
rs12979860 lBF = `0.426585` Chr`19` : `39,738,787`	0.000	1.000	0.000
rs688187 lBF = `0.187022` Chr`19` : `39,732,752`	0.000	1.000	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.000	1.000	0.000
rs7258177 lBF = `0.0641128` Chr`19` : `13,803,170`	0.000	1.000	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.000	1.000	0.000
rs12983728 lBF = `0.0364937` Chr`19` : `58,671,267`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs45495792 lBF = `0.0100733` Chr`19` : `13,062,427`	0.000	1.000	0.000
rs254262 lBF = `-0.0418109` Chr`19` : `54,612,628`	0.000	1.000	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.000	1.000	0.000
rs7255126 lBF = `-0.0578649` Chr`19` : `56,551,608`	0.000	1.000	0.000
rs314669 lBF = `-0.0872059` Chr`19` : `47,168,129`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs296381 lBF = `18.0942` Chr`19` : `48,371,102`	0.000	1.000	0.000
rs9797861 lBF = `7.3882` Chr`19` : `10,743,126`	0.000	1.000	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.000	1.000	0.000
rs7250071 lBF = `0.458713` Chr`19` : `10,765,819`	0.000	1.000	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.000	1.000	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.000	1.000	0.000
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.000	1.000	0.000
rs875622 lBF = `-0.0775663` Chr`19` : `16,467,759`	0.000	1.000	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs9304742 lBF = `0.387686` Chr`19` : `53,451,291`	0.000	1.000	0.000
rs3752246 lBF = `0.127829` Chr`19` : `1,056,492`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs1975174 lBF = `0.015547` Chr`19` : `22,515,251`	0.000	1.000	0.000
rs7260598 lBF = `0.00277552` Chr`19` : `24,222,786`	0.000	1.000	0.000
rs8106493 lBF = `-0.00271111` Chr`19` : `33,713,928`	0.000	1.000	0.000
rs8102683 lBF = `-0.0219706` Chr`19` : `41,363,765`	0.000	1.000	0.000
rs1529711 lBF = `-0.0232612` Chr`19` : `11,023,434`	0.000	1.000	0.000
rs56052703 lBF = `-0.0402063` Chr`19` : `13,432,940`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs10411161 lBF = `-0.0549782` Chr`19` : `52,372,976`	0.000	1.000	0.000
rs299175 lBF = `-0.0556343` Chr`19` : `56,313,528`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.000	1.000	0.000
rs2547231 lBF = `18.6779` Chr`19` : `48,385,057`	0.000	1.000	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	1.000	0.000
rs2905426 lBF = `1.61666` Chr`19` : `19,478,022`	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 X0100

log Bayes Factor = 730.252

contains 26 variants

0.9997

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9993

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9986

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9974

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9972

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9971

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9968

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9961

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9960

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9947

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9794

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9764

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9745

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9732

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9690

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9644

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9548

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9538

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9524

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9440

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9406

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9365

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9309

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9305

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9287

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9284

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9280

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9118

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9114

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9078

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9010

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9002

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8918

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8859

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8838

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8825

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8677

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8641

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8593

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8392

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8350

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8206

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8054

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8011

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7785

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7669

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7574

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7556

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7368

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7315

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7039

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6781

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6681

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6572

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6433

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6387

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6276

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6241

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6106

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6080

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5911

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5798

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5567

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5468

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5465

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5252

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5191

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5166

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5121

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5114

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5088

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5075

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4987

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4869

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4689

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4633

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4487

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4394

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4383

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4193

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3890

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3799

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3710

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3695

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3638

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3612

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3586

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3535

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3462

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3343

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3144

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3067

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3064

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2865

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2826

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2732

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2632

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2454

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2400

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2322

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2299

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2269

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2228

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2197

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2048

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1919

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1771

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1749

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1692

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1666

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1579

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1549

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1533

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1490

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1405

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1374

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1334

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1327

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1317

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1305

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1265

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1221

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1151

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1136

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1065

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1028

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1025

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0996

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0960

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0933

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0925

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0921

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0919

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0902

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0894

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0831

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0815

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0724

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0715

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0708

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0632

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0599

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0568

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0543

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0527

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0514

Cluster X0065

log Bayes Factor = 53.0717

contains 3 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.

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`)