TreeWAS – [E21.0] Primary hyperparathyroidism

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
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.932	0.068	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.924	0.076	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.871	0.129	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.724	0.276	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.660	0.340	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.657	0.343	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.639	0.361	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.596	0.403	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.585	0.415	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.583	0.417	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.582	0.418	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.575	0.425	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.572	0.428	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.564	0.436	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.552	0.448	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.537	0.462	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.534	0.466	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.521	0.479	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.520	0.480	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.507	0.493	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.500	0.500	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.494	0.506	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.490	0.510	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.489	0.511	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.476	0.524	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.474	0.526	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.450	0.550	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.440	0.559	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.440	0.560	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.435	0.565	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.430	0.570	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.429	0.571	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.417	0.582	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.406	0.594	0.000
rs4804833 lBF = `8.86511` Chr`19` : `7,970,635`	0.402	0.598	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.401	0.598	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.392	0.608	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.389	0.611	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.389	0.611	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.388	0.611	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.381	0.619	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.377	0.622	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.376	0.624	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.373	0.626	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.373	0.626	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.367	0.633	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.351	0.649	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.337	0.663	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.333	0.667	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.328	0.672	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.323	0.676	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.322	0.678	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.318	0.682	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.294	0.706	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.287	0.713	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.278	0.721	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.270	0.730	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.267	0.733	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.266	0.734	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.266	0.734	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.261	0.739	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.260	0.739	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.261	0.739	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.259	0.741	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.249	0.751	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.245	0.755	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.243	0.757	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.243	0.757	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.243	0.757	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.241	0.759	0.001
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.241	0.759	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.239	0.760	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.236	0.763	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.229	0.770	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.228	0.772	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.223	0.777	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.221	0.779	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.218	0.782	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.213	0.787	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.206	0.794	0.001
rs3786897 lBF = `1.54272` Chr`19` : `33,893,008`	0.000	0.804	0.196
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.194	0.806	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.187	0.813	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.186	0.814	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.180	0.819	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.179	0.820	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.176	0.824	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.168	0.832	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.158	0.842	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.155	0.844	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.154	0.846	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.154	0.846	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.152	0.848	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.150	0.849	0.001
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.150	0.850	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.001	0.857	0.142
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.138	0.862	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.137	0.863	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.126	0.873	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.123	0.876	0.001
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.123	0.876	0.001
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.123	0.877	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.001	0.883	0.116
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.114	0.886	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.113	0.886	0.001
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.105	0.895	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.086	0.914	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.084	0.916	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.082	0.918	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.080	0.919	0.001
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.080	0.919	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.079	0.921	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.078	0.921	0.001
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.064	0.935	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.063	0.937	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.057	0.943	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.054	0.946	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.050	0.949	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.045	0.955	0.000
rs2043599 lBF = `0.0545247` Chr`19` : `56,451,049`	0.043	0.957	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.041	0.959	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.040	0.960	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.040	0.960	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.029	0.971	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.028	0.972	0.000
rs889140 lBF = `1.21291` Chr`19` : `33,889,000`	0.000	0.973	0.027
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.024	0.975	0.001
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.023	0.977	0.001
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.023	0.977	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.018	0.982	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.017	0.982	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.015	0.983	0.002
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.017	0.983	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.015	0.985	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.012	0.987	0.001
rs3810291 lBF = `1.3375` Chr`19` : `47,569,003`	0.013	0.987	0.000
rs2972516 lBF = `11.8322` Chr`19` : `48,465,312`	0.013	0.987	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.012	0.988	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	0.988	0.012
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.011	0.988	0.001
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.011	0.989	0.000
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.011	0.989	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.008	0.989	0.002
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.009	0.991	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.008	0.991	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.008	0.992	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.008	0.992	0.000
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	0.000	0.992	0.008
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.007	0.993	0.000
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.007	0.993	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.007	0.993	0.000
rs8103033 lBF = `-0.0796591` Chr`19` : `40,170,053`	0.007	0.993	0.000
rs438811 lBF = `51.3098` Chr`19` : `45,416,741`	0.000	0.993	0.007
rs296381 lBF = `18.0942` Chr`19` : `48,371,102`	0.000	0.993	0.007
rs8108269 lBF = `1.58458` Chr`19` : `46,158,513`	0.006	0.994	0.000
rs296396 lBF = `17.975` Chr`19` : `48,365,523`	0.000	0.994	0.006
rs166988 lBF = `-0.0323303` Chr`19` : `34,333,914`	0.005	0.995	0.000
rs8182584 lBF = `1.33031` Chr`19` : `33,909,710`	0.000	0.995	0.005
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.005	0.995	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.004	0.995	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.001	0.995	0.003
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.001	0.995	0.003
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	0.996	0.004
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.002	0.996	0.003
rs2547231 lBF = `18.6779` Chr`19` : `48,385,057`	0.000	0.996	0.004
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	0.996	0.004
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.000	0.996	0.004
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	0.996	0.004
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.003	0.996	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.003	0.996	0.000
rs4805885 lBF = `1.52436` Chr`19` : `33,906,123`	0.000	0.997	0.003
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.003	0.997	0.000
rs652260 lBF = `2.55566` Chr`19` : `7,900,562`	0.003	0.997	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs10406174 lBF = `-0.0446399` Chr`19` : `3,944,240`	0.003	0.997	0.000
rs76478271 lBF = `-0.00813885` Chr`19` : `41,325,199`	0.000	0.997	0.003
rs10414410 lBF = `-0.0561404` Chr`19` : `30,086,007`	0.002	0.998	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	0.998	0.002
rs56873913 lBF = `-0.055002` Chr`19` : `50,091,199`	0.002	0.998	0.000
rs7245858 lBF = `0.0903378` Chr`19` : `51,430,596`	0.002	0.998	0.001
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.002	0.998	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.002	0.998	0.000
rs3764628 lBF = `0.0321825` Chr`19` : `18,747,605`	0.000	0.998	0.002
rs7260329 lBF = `-0.0683905` Chr`19` : `41,521,638`	0.000	0.998	0.002
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	0.998	0.002
rs190086576 lBF = `-0.0140668` Chr`19` : `45,996,187`	0.002	0.998	0.000
rs12983728 lBF = `0.0364937` Chr`19` : `58,671,267`	0.002	0.998	0.000
rs11084337 lBF = `0.0672916` Chr`19` : `54,916,104`	0.002	0.998	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.001	0.998	0.001
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.002	0.998	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	0.998	0.002
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.001	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs757318 lBF = `-0.0112631` Chr`19` : `18,820,308`	0.000	0.998	0.002
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.002	0.998	0.000
rs8109848 lBF = `-0.0245277` Chr`19` : `41,522,069`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs7253117 lBF = `8.58485` Chr`19` : `17,844,894`	0.001	0.999	0.000
rs4072910 lBF = `-0.0600503` Chr`19` : `8,644,031`	0.001	0.999	0.000
rs1035942 lBF = `0.182878` Chr`19` : `7,199,803`	0.000	0.999	0.001
rs10404486 lBF = `-0.00249954` Chr`19` : `53,284,135`	0.001	0.999	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.001	0.999	0.000
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rs10405744 lBF = `0.0101824` Chr`19` : `20,059,493`	0.000	1.000	0.000
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.000	1.000	0.000
rs11671010 lBF = `-0.0129902` Chr`19` : `35,559,474`	0.000	1.000	0.000
rs10411161 lBF = `-0.0549782` Chr`19` : `52,372,976`	0.000	1.000	0.000
rs412658 lBF = `-0.0908223` Chr`19` : `22,359,440`	0.000	1.000	0.000
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	1.000	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	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
rs6510827 lBF = `2.40129` Chr`19` : `4,830,628`	0.000	1.000	0.000
rs12608504 lBF = `1.27024` Chr`19` : `18,389,135`	0.000	1.000	0.000
rs35164067 lBF = `0.27608` Chr`19` : `10,525,181`	0.000	1.000	0.000
rs688187 lBF = `0.187022` Chr`19` : `39,732,752`	0.000	1.000	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.000	1.000	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	1.000	0.000
rs4804134 lBF = `-0.0587569` Chr`19` : `10,568,519`	0.000	1.000	0.000
rs72974768 lBF = `0.467852` Chr`19` : `3,435,545`	0.000	1.000	0.000
rs8102380 lBF = `0.250001` Chr`19` : `10,801,185`	0.000	1.000	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.000	1.000	0.000
rs1529711 lBF = `-0.0232612` Chr`19` : `11,023,434`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	1.000	0.000
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.000	1.000	0.000
rs9797861 lBF = `7.3882` Chr`19` : `10,743,126`	0.000	1.000	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.000	1.000	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.000	1.000	0.000
rs7248104 lBF = `1.00902` Chr`19` : `7,224,431`	0.000	1.000	0.000
rs349045 lBF = `0.0415396` Chr`19` : `44,299,892`	0.000	1.000	0.000
rs2644899 lBF = `-0.0377486` Chr`19` : `41,302,949`	0.000	1.000	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	1.000	0.000
rs759819 lBF = `-0.0534983` Chr`19` : `54,815,577`	0.000	1.000	0.000
rs875622 lBF = `-0.0775663` Chr`19` : `16,467,759`	0.000	1.000	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs10416265 lBF = `2.36744` Chr`19` : `33,605,300`	0.000	1.000	0.000
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	1.000	0.000
rs16966122 lBF = `0.219204` Chr`19` : `32,158,464`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs3745567 lBF = `-0.0219734` Chr`19` : `6,690,771`	0.000	1.000	0.000
rs740406 lBF = `-0.0227422` Chr`19` : `2,232,221`	0.000	1.000	0.000
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.000	1.000	0.000
rs2233152 lBF = `-0.0399253` Chr`19` : `41,281,016`	0.000	1.000	0.000
rs11666913 lBF = `-0.0722043` Chr`19` : `8,285,730`	0.000	1.000	0.000
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.000	1.000	0.000
rs7258249 lBF = `-0.0892357` Chr`19` : `8,271,721`	0.000	1.000	0.000
rs62120679 lBF = `-0.094695` Chr`19` : `2,363,319`	0.000	1.000	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	1.000	0.000
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	1.000	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.000	1.000	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.000	1.000	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.000	1.000	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.000	1.000	0.000
rs10416218 lBF = `2.47638` Chr`19` : `33,599,127`	0.000	1.000	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.000	1.000	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs254262 lBF = `-0.0418109` Chr`19` : `54,612,628`	0.000	1.000	0.000
rs12986413 lBF = `-0.0520656` Chr`19` : `2,170,954`	0.000	1.000	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	1.000	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	1.000	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.000	1.000	0.000
rs8101609 lBF = `7.44519` Chr`19` : `17,857,482`	0.000	1.000	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	1.000	0.000
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.000	1.000	0.000
rs2967605 lBF = `0.661749` Chr`19` : `8,469,738`	0.000	1.000	0.000
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.000	1.000	0.000
rs2569507 lBF = `0.163142` Chr`19` : `10,798,904`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs8113142 lBF = `-0.0342136` Chr`19` : `29,012,921`	0.000	1.000	0.000
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.000	1.000	0.000
rs1160985 lBF = `12.3497` Chr`19` : `45,403,412`	0.000	1.000	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	1.000	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	1.000	0.000
rs2738459 lBF = `1.19855` Chr`19` : `11,238,473`	0.000	1.000	0.000
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	1.000	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs12972990 lBF = `-0.0273081` Chr`19` : `10,406,431`	0.000	1.000	0.000
rs9807841 lBF = `-0.0408581` Chr`19` : `10,817,656`	0.000	1.000	0.000
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.000	1.000	0.000
rs891088 lBF = `-0.0961251` Chr`19` : `7,184,762`	0.000	1.000	0.000
rs8102137 lBF = `0.288156` Chr`19` : `30,296,853`	0.000	1.000	0.000
rs2303745 lBF = `0.153752` Chr`19` : `17,420,289`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs8099917 lBF = `0.0629772` Chr`19` : `39,743,165`	0.000	1.000	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	1.000	0.000
rs35755165 lBF = `0.0494139` Chr`19` : `41,345,989`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.000	1.000	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	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 X0116

log Bayes Factor = 12.7289

contains 3 variants

0.9818

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1895

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1260

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0706

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9958

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9908

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9907

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9688

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9683

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9602

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9568

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9427

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9408

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9326

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9262

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9259

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9170

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9167

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9064

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8809

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8527

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8485

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8330

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8231

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8077

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7923

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7492

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7467

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7454

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7400

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7245

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7027

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6841

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6800

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6767

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6756

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6709

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6679

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6522

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6482

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6392

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6265

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6228

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5996

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5949

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5792

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5740

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5584

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5572

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5492

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5240

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5223

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5222

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5087

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5056

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5013

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4977

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4775

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4764

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4446

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4397

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4342

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4318

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4185

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4148

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4107

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4097

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4057

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4047

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3876

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3627

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3487

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3335

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3247

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3132

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3083

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3075

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2981

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2978

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2956

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2711

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2686

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2683

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2675

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2528

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2500

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2475

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2350

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2329

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2265

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2146

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2061

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2013

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1908

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1890

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1876

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1780

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1769

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1718

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1672

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1659

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1645

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1557

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1490

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1440

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1391

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1363

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1359

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1290

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1270

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1182

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1131

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.1116

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1110

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1078

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1020

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0995

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0977

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0863

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0833

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0758

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0729

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0711

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0702

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0684

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0678

Cluster X0319

log Bayes Factor = 20.8771

contains 3 variants

0.0643

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0623

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0597

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0594

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0589

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0564

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0563

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0550

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0542

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0540

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0520

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`)