TreeWAS – [M25.46] Effusion of joint (Lower leg)

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
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.887	0.113	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.819	0.181	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.758	0.242	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.712	0.288	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.668	0.332	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.652	0.348	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.578	0.422	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.503	0.497	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.499	0.501	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.491	0.509	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.485	0.515	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.483	0.517	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.478	0.522	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.460	0.540	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.452	0.548	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.433	0.567	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.433	0.567	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.429	0.570	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.428	0.572	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.427	0.573	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.399	0.601	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.394	0.606	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.385	0.615	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.375	0.625	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.340	0.660	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.340	0.660	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.333	0.666	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.333	0.667	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.333	0.667	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.325	0.675	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.316	0.684	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.314	0.686	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.300	0.700	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.299	0.701	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.296	0.704	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.290	0.710	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.283	0.717	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.276	0.724	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.273	0.727	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.270	0.730	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.243	0.757	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.239	0.761	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.238	0.762	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.234	0.765	0.001
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.224	0.775	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.222	0.778	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.195	0.805	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.190	0.810	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.165	0.835	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.163	0.837	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.159	0.841	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.156	0.844	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.145	0.855	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.138	0.861	0.001
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.126	0.874	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.117	0.882	0.001
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.116	0.884	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.106	0.894	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.101	0.899	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.093	0.907	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.084	0.916	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.081	0.919	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.075	0.924	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.071	0.928	0.001
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.067	0.933	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.066	0.933	0.001
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.065	0.935	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.061	0.939	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.053	0.947	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.051	0.949	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.042	0.958	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.041	0.958	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.040	0.960	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.038	0.961	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.038	0.962	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.038	0.962	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.037	0.962	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.033	0.967	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.031	0.969	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.028	0.972	0.001
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.027	0.973	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.026	0.973	0.001
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.026	0.974	0.001
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.024	0.975	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.022	0.977	0.000
rs2159324 lBF = `-0.0599342` Chr`19` : `45,695,738`	0.020	0.980	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.019	0.980	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.019	0.981	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.019	0.981	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.018	0.981	0.001
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.017	0.982	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.016	0.983	0.001
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.017	0.983	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.016	0.984	0.000
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.015	0.985	0.000
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.013	0.987	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.013	0.987	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.012	0.987	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.011	0.987	0.001
rs2303759 lBF = `0.409506` Chr`19` : `49,869,051`	0.000	0.989	0.011
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.011	0.989	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.008	0.990	0.002
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.010	0.990	0.000
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.000	0.990	0.010
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.009	0.991	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.009	0.991	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.008	0.991	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.008	0.992	0.000
rs11878732 lBF = `-0.0329447` Chr`19` : `31,828,848`	0.008	0.992	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.007	0.993	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.007	0.993	0.000
rs1353531 lBF = `-0.0319868` Chr`19` : `31,846,907`	0.007	0.993	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.006	0.994	0.000
rs7249887 lBF = `-0.0333678` Chr`19` : `31,849,368`	0.006	0.994	0.000
rs3786800 lBF = `-0.0668199` Chr`19` : `30,990,700`	0.006	0.994	0.000
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.994	0.006
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	0.994	0.006
rs2280401 lBF = `0.0332437` Chr`19` : `50,000,009`	0.006	0.994	0.000
rs10411195 lBF = `-0.00755044` Chr`19` : `20,036,176`	0.005	0.995	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.004	0.995	0.001
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.005	0.995	0.000
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.005	0.995	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.005	0.995	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.005	0.995	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.004	0.996	0.000
rs72974768 lBF = `0.467852` Chr`19` : `3,435,545`	0.004	0.996	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.004	0.996	0.000
rs117276938 lBF = `-0.0121093` Chr`19` : `49,576,802`	0.004	0.996	0.000
rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.003	0.997	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.003	0.997	0.000
rs3745672 lBF = `-0.0139143` Chr`19` : `12,146,370`	0.003	0.997	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.003	0.997	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.003	0.997	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.003	0.997	0.000
rs741702 lBF = `0.0544306` Chr`19` : `13,024,250`	0.000	0.997	0.003
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.003	0.997	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.000	0.997	0.003
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.000	0.998	0.002
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.000	0.998	0.002
rs7249142 lBF = `0.0442277` Chr`19` : `19,276,359`	0.002	0.998	0.000
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.002	0.998	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.002	0.998	0.000
rs78015699 lBF = `-0.00079808` Chr`19` : `18,487,667`	0.002	0.998	0.000
rs8101609 lBF = `7.44519` Chr`19` : `17,857,482`	0.000	0.998	0.002
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.002	0.998	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.002	0.998	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	0.002	0.998	0.000
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.002	0.998	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.998	0.001
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.002	0.998	0.000
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.002	0.998	0.000
rs74407240 lBF = `0.0434662` Chr`19` : `2,522,671`	0.002	0.998	0.000
rs7255436 lBF = `-0.00789168` Chr`19` : `8,433,196`	0.002	0.998	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.002	0.998	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.999	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.000	0.999	0.001
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.001	0.999	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.001	0.999	0.000
rs2562456 lBF = `-0.0719041` Chr`19` : `21,666,210`	0.001	0.999	0.000
rs1865075 lBF = `-0.0727677` Chr`19` : `22,554,854`	0.001	0.999	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.001	0.999	0.000
rs10404998 lBF = `-0.0733092` Chr`19` : `22,608,374`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs12461110 lBF = `-0.0406045` Chr`19` : `56,320,663`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.001	0.999	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.001	0.999	0.000
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
rs11085824 lBF = `-0.0467481` Chr`19` : `13,001,547`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs8105429 lBF = `0.113411` Chr`19` : `18,481,333`	0.001	0.999	0.000
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	0.999	0.001
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.000	0.999	0.001
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs12459897 lBF = `-0.00660074` Chr`19` : `31,596,778`	0.001	0.999	0.000
rs2303745 lBF = `0.153752` Chr`19` : `17,420,289`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
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rs519113 lBF = `-0.0527793` Chr`19` : `45,376,284`	0.000	1.000	0.000
rs1273516 lBF = `-0.0567327` Chr`19` : `15,677,710`	0.000	1.000	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs8108269 lBF = `1.58458` Chr`19` : `46,158,513`	0.000	1.000	0.000
rs4079366 lBF = `1.00129` Chr`19` : `41,384,675`	0.000	1.000	0.000
rs6509942 lBF = `0.344033` Chr`19` : `30,554,951`	0.000	1.000	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs472265 lBF = `-0.0483425` Chr`19` : `39,580,737`	0.000	1.000	0.000
rs7254215 lBF = `-0.0485001` Chr`19` : `14,713,493`	0.000	1.000	0.000
rs12610250 lBF = `-0.0556392` Chr`19` : `8,277,713`	0.000	1.000	0.000
rs892085 lBF = `-0.0783534` Chr`19` : `10,818,092`	0.000	1.000	0.000
rs412658 lBF = `-0.0908223` Chr`19` : `22,359,440`	0.000	1.000	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	1.000	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	1.000	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	1.000	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	1.000	0.000
rs676388 lBF = `19.9316` Chr`19` : `49,211,969`	0.000	1.000	0.000
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	1.000	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.000	1.000	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.000	1.000	0.000
rs7249094 lBF = `-0.00980267` Chr`19` : `8,672,000`	0.000	1.000	0.000
rs757318 lBF = `-0.0112631` Chr`19` : `18,820,308`	0.000	1.000	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	1.000	0.000
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	1.000	0.000
rs29941 lBF = `-0.0501111` Chr`19` : `34,309,532`	0.000	1.000	0.000
rs2059876 lBF = `-0.0616188` Chr`19` : `34,130,336`	0.000	1.000	0.000
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	1.000	0.000
rs7250689 lBF = `14.0789` Chr`19` : `38,753,625`	0.000	1.000	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.000	1.000	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.000	1.000	0.000
rs11880992 lBF = `0.471001` Chr`19` : `2,176,403`	0.000	1.000	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	1.000	0.000
rs10407640 lBF = `-0.0201231` Chr`19` : `34,766,588`	0.000	1.000	0.000
rs11666497 lBF = `-0.0254914` Chr`19` : `38,464,262`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs8103033 lBF = `-0.0796591` Chr`19` : `40,170,053`	0.000	1.000	0.000
rs11084786 lBF = `-0.0864776` Chr`19` : `35,282,181`	0.000	1.000	0.000
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	1.000	0.000
rs296381 lBF = `18.0942` Chr`19` : `48,371,102`	0.000	1.000	0.000
rs296396 lBF = `17.975` Chr`19` : `48,365,523`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	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
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs2230199 lBF = `0.00787425` Chr`19` : `6,718,387`	0.000	1.000	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	0.000	1.000	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	1.000	0.000
rs103294 lBF = `-0.00760096` Chr`19` : `54,797,848`	0.000	1.000	0.000
rs187568415 lBF = `-0.018983` Chr`19` : `11,734,626`	0.000	1.000	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs2163813 lBF = `-0.0532197` Chr`19` : `19,829,101`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	1.000	0.000
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.000	1.000	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs2965169 lBF = `5.30117` Chr`19` : `45,251,156`	0.000	1.000	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	1.000	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs17771967 lBF = `0.180669` Chr`19` : `55,380,214`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs10500264 lBF = `0.080598` Chr`19` : `33,750,314`	0.000	1.000	0.000
rs4802307 lBF = `0.0791814` Chr`19` : `46,849,806`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs3760982 lBF = `0.0244749` Chr`19` : `44,286,513`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs1862471 lBF = `-0.0349275` Chr`19` : `10,000,322`	0.000	1.000	0.000
rs386000 lBF = `-0.0508419` Chr`19` : `54,792,761`	0.000	1.000	0.000
rs7245959 lBF = `-0.0552497` Chr`19` : `31,379,109`	0.000	1.000	0.000
rs451000 lBF = `-0.0571852` Chr`19` : `54,781,554`	0.000	1.000	0.000
rs8111500 lBF = `-0.0814552` Chr`19` : `49,152,955`	0.000	1.000	0.000
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.000	1.000	0.000
rs12610495 lBF = `-0.0868982` Chr`19` : `4,717,672`	0.000	1.000	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.000	1.000	0.000
rs2547231 lBF = `18.6779` Chr`19` : `48,385,057`	0.000	1.000	0.000
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	1.000	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	1.000	0.000
rs7253117 lBF = `8.58485` Chr`19` : `17,844,894`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.000	1.000	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	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 X0176

log Bayes Factor = 407.797

contains 14 variants

0.9954

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9922

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9908

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9837

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9793

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9735

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9701

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9625

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9573

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9534

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9525

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9441

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9309

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9270

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9220

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9082

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9033

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8794

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8762

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8672

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8564

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8518

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8284

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8215

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8211

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8207

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8089

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8074

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8019

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8005

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7612

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7519

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7494

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7395

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7224

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7197

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7185

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7085

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6965

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6935

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6826

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6498

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6481

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6414

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6117

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6116

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5841

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5713

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5577

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5460

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5426

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5279

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5091

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4979

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4976

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4893

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4834

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4806

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4638

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4321

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4160

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4101

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4045

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3938

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3933

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3932

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3435

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3431

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3364

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3338

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3275

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3144

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2995

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2829

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2785

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2733

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2686

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2634

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2526

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2424

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2409

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2311

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2229

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2079

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2017

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1944

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1941

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1652

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1526

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1466

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1422

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1408

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1407

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1306

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1131

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1109

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1099

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1098

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1086

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1034

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0990

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0918

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0894

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0873

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0780

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0761

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0744

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0726

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0721

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0682

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0633

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0631

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0630

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0587

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0563

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0561

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0543

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0541

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0525

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0509

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`)