TreeWAS – [H35.4] Peripheral retinal degeneration

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
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.862	0.138	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.837	0.163	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.781	0.219	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.727	0.273	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.640	0.360	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.639	0.361	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.635	0.365	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.622	0.378	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.601	0.398	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.590	0.410	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.589	0.411	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.553	0.447	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.547	0.453	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.537	0.463	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.531	0.469	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.528	0.472	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.506	0.494	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.496	0.504	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.490	0.509	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.490	0.510	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.473	0.527	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.466	0.534	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.464	0.536	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.450	0.550	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.439	0.560	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.437	0.563	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.435	0.565	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.435	0.565	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.430	0.570	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.427	0.573	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.427	0.573	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.425	0.575	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.417	0.583	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.411	0.589	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.406	0.593	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.392	0.608	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.374	0.626	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.366	0.634	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.364	0.636	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.361	0.639	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.350	0.649	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.350	0.650	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.345	0.655	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.337	0.663	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.332	0.668	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.329	0.671	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.328	0.672	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.326	0.674	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.320	0.680	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.312	0.688	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.296	0.703	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.295	0.705	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.293	0.707	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.288	0.711	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.271	0.729	0.000
rs4808260 lBF = `0.0927022` Chr`19` : `20,846,271`	0.000	0.730	0.270
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.263	0.737	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.258	0.742	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.230	0.770	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.208	0.791	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.185	0.815	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.181	0.819	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.179	0.821	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.159	0.840	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.136	0.864	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.130	0.870	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.128	0.872	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.126	0.874	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.120	0.879	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.114	0.886	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.110	0.889	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.109	0.890	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.104	0.896	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.103	0.896	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.103	0.897	0.001
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.101	0.899	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.101	0.899	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.100	0.900	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.099	0.901	0.001
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.093	0.907	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.085	0.915	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.080	0.920	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.077	0.923	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.068	0.931	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.066	0.934	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.059	0.941	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.059	0.941	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.052	0.948	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.037	0.948	0.014
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.051	0.948	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.051	0.949	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.037	0.963	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.036	0.964	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.036	0.964	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.034	0.966	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.029	0.971	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.027	0.972	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.026	0.973	0.001
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.024	0.976	0.001
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.023	0.977	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.023	0.977	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.022	0.977	0.001
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.020	0.980	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.017	0.983	0.000
rs2967605 lBF = `0.661749` Chr`19` : `8,469,738`	0.012	0.987	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.011	0.989	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.011	0.989	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.010	0.989	0.000
rs12462428 lBF = `-0.0332477` Chr`19` : `16,694,610`	0.000	0.990	0.010
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.009	0.991	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.009	0.991	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.009	0.991	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.008	0.992	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.007	0.992	0.001
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.008	0.992	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.007	0.992	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.007	0.992	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.007	0.993	0.000
rs10408179 lBF = `5.46633` Chr`19` : `46,157,004`	0.000	0.993	0.007
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.007	0.993	0.000
rs10416265 lBF = `2.36744` Chr`19` : `33,605,300`	0.007	0.993	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.006	0.994	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.006	0.994	0.000
rs2230199 lBF = `0.00787425` Chr`19` : `6,718,387`	0.006	0.994	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.006	0.994	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.006	0.994	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.005	0.994	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.005	0.995	0.000
rs7507912 lBF = `3.60129` Chr`19` : `46,157,916`	0.000	0.995	0.005
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.005	0.995	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.005	0.995	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.003	0.995	0.002
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	0.996	0.004
rs6511152 lBF = `-0.0818318` Chr`19` : `20,874,738`	0.004	0.996	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.003	0.996	0.001
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.004	0.996	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.003	0.996	0.000
rs147893869 lBF = `0.019787` Chr`19` : `41,321,074`	0.003	0.997	0.000
rs10416218 lBF = `2.47638` Chr`19` : `33,599,127`	0.003	0.997	0.000
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.000	0.997	0.003
rs117821847 lBF = `0.0239638` Chr`19` : `41,310,888`	0.003	0.997	0.000
rs144553930 lBF = `0.0238036` Chr`19` : `41,313,261`	0.003	0.997	0.000
rs149812270 lBF = `0.0236401` Chr`19` : `41,315,326`	0.003	0.997	0.000
rs7255126 lBF = `-0.0578649` Chr`19` : `56,551,608`	0.000	0.997	0.003
rs117391664 lBF = `0.0240452` Chr`19` : `41,309,150`	0.003	0.997	0.000
rs2905426 lBF = `1.61666` Chr`19` : `19,478,022`	0.000	0.997	0.003
rs4803370 lBF = `0.0241074` Chr`19` : `41,317,934`	0.003	0.997	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	0.997	0.003
rs117139969 lBF = `0.02267` Chr`19` : `41,311,922`	0.003	0.997	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.003	0.997	0.000
rs140878064 lBF = `0.0241025` Chr`19` : `41,321,954`	0.003	0.997	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	0.997	0.003
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.003	0.997	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.000	0.997	0.003
rs117851058 lBF = `0.0211329` Chr`19` : `41,309,590`	0.002	0.997	0.000
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.002	0.998	0.000
rs2905424 lBF = `1.1326` Chr`19` : `19,473,445`	0.000	0.998	0.002
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.000	0.998	0.002
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.000	0.998	0.002
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.001	0.998	0.001
rs3865444 lBF = `0.590737` Chr`19` : `51,727,962`	0.002	0.998	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.001	0.998	0.000
rs7250071 lBF = `0.458713` Chr`19` : `10,765,819`	0.002	0.998	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.002	0.998	0.000
rs4804134 lBF = `-0.0587569` Chr`19` : `10,568,519`	0.000	0.998	0.002
rs190086576 lBF = `-0.0140668` Chr`19` : `45,996,187`	0.002	0.998	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.002	0.998	0.000
rs8102754 lBF = `-0.0804684` Chr`19` : `29,489,042`	0.000	0.998	0.002
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.002	0.998	0.000
rs892085 lBF = `-0.0783534` Chr`19` : `10,818,092`	0.002	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs280519 lBF = `0.528063` Chr`19` : `10,472,933`	0.000	0.998	0.002
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.002	0.998	0.000
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.000	0.999	0.001
rs788338 lBF = `-0.0996841` Chr`19` : `50,778,543`	0.001	0.999	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.001	0.999	0.000
rs8112449 lBF = `-0.0804357` Chr`19` : `10,520,064`	0.000	0.999	0.001
rs16964543 lBF = `0.0583383` Chr`19` : `31,185,210`	0.001	0.999	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs10403021 lBF = `-0.0686319` Chr`19` : `30,079,604`	0.001	0.999	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.000	0.999	0.001
rs1865075 lBF = `-0.0727677` Chr`19` : `22,554,854`	0.001	0.999	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.001	0.999	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.001	0.999	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.001	0.999	0.000
rs10404998 lBF = `-0.0733092` Chr`19` : `22,608,374`	0.000	0.999	0.001
rs11672517 lBF = `11.0443` Chr`19` : `57,678,194`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs167479 lBF = `18.201` Chr`19` : `11,526,765`	0.000	0.999	0.001
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	0.000	0.999	0.001
rs5498 lBF = `-0.00771433` Chr`19` : `10,395,683`	0.000	0.999	0.001
rs254262 lBF = `-0.0418109` Chr`19` : `54,612,628`	0.001	0.999	0.000
rs4804833 lBF = `8.86511` Chr`19` : `7,970,635`	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
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.001	0.999	0.000
rs9807841 lBF = `-0.0408581` Chr`19` : `10,817,656`	0.001	0.999	0.000
rs6511721 lBF = `11.4118` Chr`19` : `11,206,575`	0.000	0.999	0.001
rs8102380 lBF = `0.250001` Chr`19` : `10,801,185`	0.001	0.999	0.000
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.001	0.999	0.000
rs1975174 lBF = `0.015547` Chr`19` : `22,515,251`	0.001	0.999	0.000
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rs2292342 lBF = `0.042879` Chr`19` : `49,118,371`	0.000	1.000	0.000
rs33428 lBF = `0.0245587` Chr`19` : `30,937,843`	0.000	1.000	0.000
rs8736 lBF = `0.0054294` Chr`19` : `54,677,189`	0.000	1.000	0.000
rs626283 lBF = `-0.012753` Chr`19` : `54,677,001`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs8101881 lBF = `-0.08863` Chr`19` : `33,364,628`	0.000	1.000	0.000
rs10119 lBF = `49.8817` Chr`19` : `45,406,673`	0.000	1.000	0.000
rs281379 lBF = `19.5324` Chr`19` : `49,214,274`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.000	1.000	0.000
rs4021 lBF = `5.55611` Chr`19` : `49,253,261`	0.000	1.000	0.000
rs740495 lBF = `2.60832` Chr`19` : `1,124,835`	0.000	1.000	0.000
rs2304256 lBF = `1.51359` Chr`19` : `10,475,652`	0.000	1.000	0.000
rs11085727 lBF = `1.40057` Chr`19` : `10,466,123`	0.000	1.000	0.000
rs349045 lBF = `0.0415396` Chr`19` : `44,299,892`	0.000	1.000	0.000
rs10409958 lBF = `0.020407` Chr`19` : `46,953,382`	0.000	1.000	0.000
rs7255436 lBF = `-0.00789168` Chr`19` : `8,433,196`	0.000	1.000	0.000
rs3764640 lBF = `-0.0132391` Chr`19` : `1,207,238`	0.000	1.000	0.000
rs8192733 lBF = `-0.0561514` Chr`19` : `41,349,550`	0.000	1.000	0.000
rs12461383 lBF = `-0.0940209` Chr`19` : `41,370,338`	0.000	1.000	0.000
rs35976034 lBF = `9.67348` Chr`19` : `17,832,748`	0.000	1.000	0.000
rs8101609 lBF = `7.44519` Chr`19` : `17,857,482`	0.000	1.000	0.000
rs12162222 lBF = `6.89005` Chr`19` : `45,348,522`	0.000	1.000	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.000	1.000	0.000
rs34725611 lBF = `1.29016` Chr`19` : `10,477,067`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.000	1.000	0.000
rs740406 lBF = `-0.0227422` Chr`19` : `2,232,221`	0.000	1.000	0.000
rs12978500 lBF = `-0.0729363` Chr`19` : `406,934`	0.000	1.000	0.000
rs270776 lBF = `-0.0753872` Chr`19` : `55,222,807`	0.000	1.000	0.000
rs113029345 lBF = `-0.0875516` Chr`19` : `41,370,176`	0.000	1.000	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	1.000	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs7248104 lBF = `1.00902` Chr`19` : `7,224,431`	0.000	1.000	0.000
rs4079366 lBF = `1.00129` Chr`19` : `41,384,675`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.000	1.000	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs4805272 lBF = `-0.0359144` Chr`19` : `29,319,706`	0.000	1.000	0.000
rs10406174 lBF = `-0.0446399` Chr`19` : `3,944,240`	0.000	1.000	0.000
rs2061333 lBF = `-0.0464539` Chr`19` : `44,614,208`	0.000	1.000	0.000
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	1.000	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	1.000	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs433852 lBF = `0.473792` Chr`19` : `49,117,104`	0.000	1.000	0.000
rs28602288 lBF = `0.468929` Chr`19` : `41,388,740`	0.000	1.000	0.000
rs8102137 lBF = `0.288156` Chr`19` : `30,296,853`	0.000	1.000	0.000
rs2569507 lBF = `0.163142` Chr`19` : `10,798,904`	0.000	1.000	0.000
rs17513613 lBF = `0.107031` Chr`19` : `30,286,822`	0.000	1.000	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs35755165 lBF = `0.0494139` Chr`19` : `41,345,989`	0.000	1.000	0.000
rs56159542 lBF = `0.0320746` Chr`19` : `19,682,971`	0.000	1.000	0.000
rs45495792 lBF = `0.0100733` Chr`19` : `13,062,427`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.000	1.000	0.000
rs11083840 lBF = `-0.0115573` Chr`19` : `47,119,910`	0.000	1.000	0.000
rs187568415 lBF = `-0.018983` Chr`19` : `11,734,626`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs4072910 lBF = `-0.0600503` Chr`19` : `8,644,031`	0.000	1.000	0.000
rs6509701 lBF = `-0.0618617` Chr`19` : `53,384,185`	0.000	1.000	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	1.000	0.000
rs57837628 lBF = `-0.0909624` Chr`19` : `41,357,910`	0.000	1.000	0.000
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.000	1.000	0.000
rs2043305 lBF = `7.94393` Chr`19` : `10,728,320`	0.000	1.000	0.000
rs8106664 lBF = `7.5182` Chr`19` : `10,728,030`	0.000	1.000	0.000
rs10405693 lBF = `6.62801` Chr`19` : `45,326,664`	0.000	1.000	0.000
rs73036519 lBF = `1.74894` Chr`19` : `45,748,362`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	0.000	1.000	0.000
rs10404486 lBF = `-0.00249954` Chr`19` : `53,284,135`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs1860661 lBF = `-0.0163525` Chr`19` : `1,650,134`	0.000	1.000	0.000
rs3745567 lBF = `-0.0219734` Chr`19` : `6,690,771`	0.000	1.000	0.000
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	1.000	0.000
rs10411161 lBF = `-0.0549782` Chr`19` : `52,372,976`	0.000	1.000	0.000
rs1126510 lBF = `-0.0566693` Chr`19` : `47,123,783`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs4105144 lBF = `-0.0847799` Chr`19` : `41,358,624`	0.000	1.000	0.000
rs12460876 lBF = `-0.0959623` Chr`19` : `33,356,891`	0.000	1.000	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.000	1.000	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	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
rs182420 lBF = `8.27391` Chr`19` : `48,372,195`	0.000	1.000	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	1.000	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	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)

Cluster X0329

log Bayes Factor = 21.7039

contains 2 variants

0.0639

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9974

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9964

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9767

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9725

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9718

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9706

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9703

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9670

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9619

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9587

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9475

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9448

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9416

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9353

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9353

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9344

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.9311

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9207

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9203

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9197

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9187

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9163

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9138

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9122

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9107

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9085

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9074

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9057

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9047

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9033

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9032

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8934

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8841

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8829

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8776

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8733

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8548

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8499

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8385

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8250

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8238

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8147

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8145

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8092

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8053

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8040

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8011

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7917

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7879

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7811

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7777

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7595

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7585

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7463

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7439

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7426

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7412

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7395

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7369

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7343

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7321

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7315

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7300

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7087

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7033

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6904

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6893

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6693

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6686

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6491

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6430

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6410

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6406

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6392

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6378

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6335

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6238

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6217

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6114

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5959

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5717

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5689

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5650

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5624

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5589

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5431

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5429

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4963

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4607

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4487

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4330

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4253

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4192

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4183

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4147

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4071

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3962

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3933

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3815

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3751

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3589

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3539

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3349

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3287

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3116

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3055

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2921

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2796

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2708

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2651

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2606

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2421

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2407

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2339

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2119

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2077

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2074

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2036

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1974

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1880

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1831

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1792

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1775

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1751

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1552

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1513

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1440

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1424

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1424

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1421

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1407

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1355

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1332

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1259

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1253

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1246

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1221

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1205

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1192

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1161

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1121

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1119

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1072

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0890

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0755

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0719

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0670

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0623

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0612

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0602

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0599

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0581

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0536

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`)