TreeWAS – [I85.9] Oesophageal varices without bleeding

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
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.840	0.160	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.000	0.187	0.813
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.000	0.194	0.806
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.797	0.203	0.000
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.754	0.246	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.750	0.250	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.737	0.263	0.000
rs281379 lBF = `19.5324` Chr`19` : `49,214,274`	0.000	0.266	0.734
rs676388 lBF = `19.9316` Chr`19` : `49,211,969`	0.000	0.271	0.729
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	0.301	0.699
rs485186 lBF = `18.7474` Chr`19` : `49,207,206`	0.000	0.323	0.677
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.676	0.324	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.664	0.336	0.000
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	0.393	0.607
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.593	0.407	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.593	0.407	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.592	0.408	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.589	0.411	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.562	0.438	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	0.000	0.449	0.551
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.538	0.462	0.000
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	0.462	0.538
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.536	0.464	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	0.465	0.535
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.533	0.467	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.523	0.476	0.000
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	0.492	0.508
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	0.495	0.505
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.000	0.505	0.495
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.494	0.506	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.485	0.515	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.468	0.532	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.462	0.538	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.431	0.569	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.426	0.574	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.420	0.580	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.415	0.585	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.399	0.601	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	0.607	0.393
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.393	0.607	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.377	0.622	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.377	0.623	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.371	0.629	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.358	0.642	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.338	0.662	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.336	0.664	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.313	0.687	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.312	0.688	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.304	0.696	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.284	0.716	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.280	0.720	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.258	0.742	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.257	0.743	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.242	0.758	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.242	0.758	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.237	0.763	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.236	0.763	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.236	0.764	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.227	0.773	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.225	0.774	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.210	0.790	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.202	0.797	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.201	0.799	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.200	0.800	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.197	0.802	0.000
rs10411619 lBF = `0.26895` Chr`19` : `12,752,425`	0.000	0.805	0.195
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.193	0.807	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.182	0.818	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.180	0.820	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.175	0.825	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.164	0.836	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.152	0.848	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.149	0.851	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.122	0.854	0.024
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.146	0.854	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.140	0.860	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.137	0.863	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.136	0.864	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.133	0.867	0.001
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.131	0.869	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.130	0.870	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.127	0.873	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.125	0.875	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.121	0.879	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.114	0.886	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.101	0.898	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.102	0.898	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.101	0.899	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.099	0.901	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.096	0.904	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.089	0.911	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.084	0.916	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.083	0.917	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.078	0.922	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.076	0.924	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.072	0.928	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.071	0.929	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.069	0.930	0.001
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.067	0.932	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.064	0.936	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.057	0.943	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.055	0.944	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.054	0.946	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.052	0.948	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.049	0.951	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.047	0.951	0.002
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.048	0.951	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.045	0.955	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.041	0.958	0.000
rs2043305 lBF = `7.94393` Chr`19` : `10,728,320`	0.001	0.960	0.039
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.036	0.963	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.037	0.963	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.036	0.963	0.000
rs9797861 lBF = `7.3882` Chr`19` : `10,743,126`	0.035	0.964	0.001
rs8106664 lBF = `7.5182` Chr`19` : `10,728,030`	0.001	0.968	0.031
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.031	0.969	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.029	0.971	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.026	0.972	0.001
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	0.023	0.977	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.023	0.977	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.000	0.977	0.023
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.023	0.977	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.017	0.979	0.004
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.020	0.980	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.018	0.981	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.017	0.983	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.015	0.985	0.001
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.001	0.985	0.014
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.014	0.986	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.014	0.986	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.000	0.987	0.013
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.012	0.987	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.012	0.988	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.008	0.990	0.002
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.008	0.992	0.000
rs10421328 lBF = `-0.0331018` Chr`19` : `19,776,814`	0.000	0.992	0.008
rs307896 lBF = `-0.0944931` Chr`19` : `47,661,493`	0.000	0.992	0.008
rs8113142 lBF = `-0.0342136` Chr`19` : `29,012,921`	0.008	0.992	0.000
rs11668505 lBF = `-0.114238` Chr`19` : `48,348,363`	0.008	0.992	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.001	0.993	0.006
rs281377 lBF = `7.9369` Chr`19` : `49,206,603`	0.000	0.993	0.007
rs56159542 lBF = `0.0320746` Chr`19` : `19,682,971`	0.006	0.994	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.005	0.994	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.005	0.995	0.000
rs472265 lBF = `-0.0483425` Chr`19` : `39,580,737`	0.000	0.995	0.005
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	0.996	0.004
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.000	0.996	0.004
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.004	0.996	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.004	0.996	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.002	0.997	0.001
rs56873913 lBF = `-0.055002` Chr`19` : `50,091,199`	0.000	0.997	0.003
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.000	0.997	0.003
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.002	0.997	0.001
rs6509701 lBF = `-0.0618617` Chr`19` : `53,384,185`	0.003	0.997	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.002	0.997	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.002	0.997	0.001
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.003	0.997	0.000
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.000	0.997	0.003
rs2230199 lBF = `0.00787425` Chr`19` : `6,718,387`	0.003	0.997	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.000	0.998	0.002
rs7255045 lBF = `0.0363917` Chr`19` : `12,932,269`	0.002	0.998	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.002	0.998	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.002	0.998	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.001	0.998	0.002
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.001	0.998	0.001
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.002	0.998	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	0.998	0.002
rs433852 lBF = `0.473792` Chr`19` : `49,117,104`	0.000	0.998	0.002
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	0.998	0.002
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.002	0.998	0.000
rs2014572 lBF = `-0.0262769` Chr`19` : `57,760,018`	0.002	0.998	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.002	0.998	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	0.998	0.002
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.001	0.998	0.001
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.002	0.998	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.000	0.998	0.002
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	0.998	0.002
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.002	0.998	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs13181 lBF = `-0.0506137` Chr`19` : `45,854,919`	0.000	0.998	0.002
rs1363326 lBF = `-0.0828841` Chr`19` : `29,325,650`	0.002	0.998	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.002	0.998	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.000	0.998	0.002
rs889140 lBF = `1.21291` Chr`19` : `33,889,000`	0.001	0.999	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.000	0.999	0.001
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.001	0.999	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.000	0.999	0.001
rs4805272 lBF = `-0.0359144` Chr`19` : `29,319,706`	0.001	0.999	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	0.999	0.001
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.000	0.999	0.001
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	0.999	0.001
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	0.999	0.001
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	0.999	0.001
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	0.999	0.001
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.001	0.999	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.000	0.999	0.001
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rs8106493 lBF = `-0.00271111` Chr`19` : `33,713,928`	0.000	1.000	0.000
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.000	1.000	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.000	1.000	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	1.000	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs7247513 lBF = `0.00897879` Chr`19` : `12,691,185`	0.000	1.000	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.000	1.000	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs1273516 lBF = `-0.0567327` Chr`19` : `15,677,710`	0.000	1.000	0.000
rs7255126 lBF = `-0.0578649` Chr`19` : `56,551,608`	0.000	1.000	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	1.000	0.000
rs115436704 lBF = `0.372697` Chr`19` : `17,307,813`	0.000	1.000	0.000
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.000	1.000	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	1.000	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs11878732 lBF = `-0.0329447` Chr`19` : `31,828,848`	0.000	1.000	0.000
rs2163813 lBF = `-0.0532197` Chr`19` : `19,829,101`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs7595 lBF = `-0.0898956` Chr`19` : `54,697,079`	0.000	1.000	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	1.000	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.000	1.000	0.000
rs10405693 lBF = `6.62801` Chr`19` : `45,326,664`	0.000	1.000	0.000
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	1.000	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	1.000	0.000
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	1.000	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.000	1.000	0.000
rs8099939 lBF = `-0.0797864` Chr`19` : `42,521,108`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs6509942 lBF = `0.344033` Chr`19` : `30,554,951`	0.000	1.000	0.000
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	1.000	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.000	1.000	0.000
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	1.000	0.000
rs1172822 lBF = `-0.061255` Chr`19` : `55,819,845`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs4804833 lBF = `8.86511` Chr`19` : `7,970,635`	0.000	1.000	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs736289 lBF = `2.68174` Chr`19` : `33,757,062`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs12327666 lBF = `0.0224187` Chr`19` : `14,139,921`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs274173 lBF = `-0.0678634` Chr`19` : `56,692,443`	0.000	1.000	0.000
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	1.000	0.000
rs6508941 lBF = `0.664334` Chr`19` : `41,015,965`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.000	1.000	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.000	1.000	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.000	1.000	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.000	1.000	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.000	1.000	0.000
rs3745567 lBF = `-0.0219734` Chr`19` : `6,690,771`	0.000	1.000	0.000
rs4802666 lBF = `-0.0302537` Chr`19` : `50,721,074`	0.000	1.000	0.000
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs3116139 lBF = `-0.0815748` Chr`19` : `51,879,034`	0.000	1.000	0.000
rs412658 lBF = `-0.0908223` Chr`19` : `22,359,440`	0.000	1.000	0.000
rs8101609 lBF = `7.44519` Chr`19` : `17,857,482`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs12979813 lBF = `0.089449` Chr`19` : `11,342,703`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	1.000	0.000
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.000	1.000	0.000
rs10404486 lBF = `-0.00249954` Chr`19` : `53,284,135`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	1.000	0.000
rs12972990 lBF = `-0.0273081` Chr`19` : `10,406,431`	0.000	1.000	0.000
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	1.000	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.000	1.000	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	1.000	0.000
rs62120679 lBF = `-0.094695` Chr`19` : `2,363,319`	0.000	1.000	0.000
rs2569559 lBF = `8.14733` Chr`19` : `11,214,533`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.000	1.000	0.000
rs8105429 lBF = `0.113411` Chr`19` : `18,481,333`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs74407240 lBF = `0.0434662` Chr`19` : `2,522,671`	0.000	1.000	0.000
rs11667918 lBF = `-0.000318` Chr`19` : `17,232,499`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.5349

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1508

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9987

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9985

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9980

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9966

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9965

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9954

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9926

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9904

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9884

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9870

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9843

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9831

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9786

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9737

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9685

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9624

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9613

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9590

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9502

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9454

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9397

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9382

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9343

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9341

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9161

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9148

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.9066

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9041

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8994

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8916

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8884

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8725

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8712

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8485

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8385

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8352

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8252

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8245

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8161

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8102

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8074

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8034

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7871

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7833

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7808

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7734

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7197

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7144

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7104

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6891

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6827

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6745

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6726

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6473

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6436

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6283

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6247

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6212

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6150

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6128

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6038

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6024

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5960

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5895

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5818

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5737

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5625

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5537

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5520

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5403

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5367

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5329

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5273

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5249

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5040

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.4830

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4804

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4803

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4795

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4555

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4459

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4431

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4342

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4316

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4240

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4130

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3937

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3870

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3795

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3662

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3626

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3574

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3436

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3386

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3325

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3255

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3189

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2855

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2825

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2690

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2463

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2442

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2242

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2202

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2130

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2085

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1913

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1894

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1605

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1602

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1572

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1555

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1522

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1508

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1481

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1419

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1403

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1393

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1288

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1280

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1248

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1155

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1135

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1125

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1062

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1052

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1020

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0882

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0864

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0815

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0717

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0710

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0637

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0610

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0588

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0580

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0545

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`)