TreeWAS – [I51.5] Myocardial 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
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.714	0.286	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.710	0.290	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.696	0.304	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.694	0.306	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.686	0.314	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.680	0.320	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.679	0.321	0.000
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	0.323	0.677
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.676	0.324	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.675	0.325	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.663	0.337	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.658	0.342	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.654	0.346	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.651	0.349	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.650	0.349	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.643	0.357	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.641	0.359	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.640	0.360	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.625	0.375	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.618	0.381	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.615	0.385	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.610	0.389	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.601	0.399	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.599	0.401	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.583	0.417	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.569	0.431	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.557	0.443	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.543	0.457	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.538	0.462	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.525	0.475	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.524	0.476	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.523	0.477	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.520	0.480	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.520	0.480	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	0.481	0.519
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.496	0.504	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.465	0.535	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.464	0.536	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.448	0.551	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.564	0.436
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.408	0.591	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.390	0.609	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.379	0.621	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.375	0.625	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	0.633	0.367
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.366	0.634	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	0.634	0.366
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.352	0.648	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.327	0.672	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	0.677	0.322
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.320	0.680	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.304	0.696	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.292	0.708	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.282	0.718	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	0.723	0.277
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.271	0.729	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.247	0.753	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.229	0.771	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	0.775	0.225
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.222	0.778	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.210	0.790	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.803	0.197
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.195	0.805	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	0.812	0.188
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.183	0.817	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.177	0.822	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.175	0.824	0.000
rs10411619 lBF = `0.26895` Chr`19` : `12,752,425`	0.000	0.835	0.165
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.147	0.853	0.000
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.000	0.858	0.141
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.136	0.863	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.123	0.877	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.104	0.895	0.001
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.104	0.896	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.101	0.899	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.098	0.902	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.097	0.903	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.090	0.909	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.086	0.914	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.086	0.914	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.083	0.916	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.080	0.920	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.075	0.925	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.063	0.936	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.056	0.944	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.052	0.948	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.029	0.971	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.026	0.974	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.024	0.976	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.000	0.977	0.023
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.023	0.977	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.021	0.979	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.018	0.982	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.018	0.982	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.016	0.984	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.015	0.984	0.000
rs77866734 lBF = `0.0462773` Chr`19` : `1,637,052`	0.014	0.985	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.014	0.986	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.013	0.987	0.000
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.010	0.989	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.000	0.990	0.010
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.009	0.990	0.000
rs11668609 lBF = `0.00990234` Chr`19` : `24,355,493`	0.008	0.991	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.008	0.992	0.000
rs2292342 lBF = `0.042879` Chr`19` : `49,118,371`	0.008	0.992	0.000
rs2644899 lBF = `-0.0377486` Chr`19` : `41,302,949`	0.000	0.993	0.007
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.006	0.993	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.006	0.994	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.006	0.994	0.001
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.006	0.994	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.006	0.994	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	0.994	0.006
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.005	0.994	0.000
rs6511721 lBF = `11.4118` Chr`19` : `11,206,575`	0.005	0.995	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.005	0.995	0.000
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	0.995	0.005
rs3764628 lBF = `0.0321825` Chr`19` : `18,747,605`	0.005	0.995	0.000
rs12608544 lBF = `0.00987206` Chr`19` : `49,136,651`	0.004	0.996	0.000
rs11880333 lBF = `0.0147017` Chr`19` : `49,144,790`	0.004	0.996	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.003	0.996	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.003	0.997	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.003	0.997	0.000
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.003	0.997	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.002	0.997	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.002	0.997	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.002	0.997	0.000
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.998	0.002
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	0.998	0.002
rs113690530 lBF = `0.00761288` Chr`19` : `33,087,867`	0.000	0.998	0.002
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.002	0.998	0.000
rs8100480 lBF = `0.00273395` Chr`19` : `19,299,079`	0.002	0.998	0.000
rs17724992 lBF = `0.290288` Chr`19` : `18,454,825`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs1801272 lBF = `0.25333` Chr`19` : `41,354,533`	0.001	0.998	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.001	0.998	0.000
rs1529711 lBF = `-0.0232612` Chr`19` : `11,023,434`	0.001	0.998	0.000
rs17318596 lBF = `-0.0555985` Chr`19` : `41,937,095`	0.001	0.998	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.001	0.998	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.001	0.999	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.001	0.999	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.001	0.999	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.001	0.999	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.001	0.999	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.001	0.999	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs183353539 lBF = `-0.0422568` Chr`19` : `6,992,244`	0.001	0.999	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.000	0.999	0.001
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.001	0.999	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs4803468 lBF = `0.0184794` Chr`19` : `41,922,352`	0.000	0.999	0.001
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs2232063 lBF = `0.54636` Chr`19` : `10,196,350`	0.000	0.999	0.001
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.001
rs1035942 lBF = `0.182878` Chr`19` : `7,199,803`	0.000	0.999	0.001
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.001	0.999	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.001	0.999	0.000
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.000	0.999	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	0.999	0.001
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	0.999	0.001
rs405509 lBF = `9.43097` Chr`19` : `45,408,836`	0.000	0.999	0.001
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.001	0.999	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.001	0.999	0.000
rs1354774 lBF = `0.514863` Chr`19` : `51,393,118`	0.000	0.999	0.001
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs7260598 lBF = `0.00277552` Chr`19` : `24,222,786`	0.001	0.999	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.001	0.999	0.000
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.000	0.999	0.001
rs2738459 lBF = `1.19855` Chr`19` : `11,238,473`	0.000	0.999	0.001
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.001	0.999	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.001	0.999	0.000
rs10411195 lBF = `-0.00755044` Chr`19` : `20,036,176`	0.000	0.999	0.001
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.000	0.999	0.000
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.001	0.999	0.000
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.000	0.999	0.000
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rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.000	1.000	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs2043305 lBF = `7.94393` Chr`19` : `10,728,320`	0.000	1.000	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.000	1.000	0.000
rs8106664 lBF = `7.5182` Chr`19` : `10,728,030`	0.000	1.000	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	1.000	0.000
rs6510827 lBF = `2.40129` Chr`19` : `4,830,628`	0.000	1.000	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	1.000	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs11672983 lBF = `0.619516` Chr`19` : `55,383,051`	0.000	1.000	0.000
rs1671152 lBF = `0.496658` Chr`19` : `55,526,345`	0.000	1.000	0.000
rs8012 lBF = `0.224737` Chr`19` : `13,010,520`	0.000	1.000	0.000
rs2523178 lBF = `0.167297` Chr`19` : `2,275,079`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs2288884 lBF = `0.098259` Chr`19` : `52,532,271`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.000	1.000	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	1.000	0.000
rs12983728 lBF = `0.0364937` Chr`19` : `58,671,267`	0.000	1.000	0.000
rs2301659 lBF = `0.0306604` Chr`19` : `19,035,354`	0.000	1.000	0.000
rs3760982 lBF = `0.0244749` Chr`19` : `44,286,513`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs3745571 lBF = `0.016699` Chr`19` : `6,475,613`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs1975174 lBF = `0.015547` Chr`19` : `22,515,251`	0.000	1.000	0.000
rs1382358 lBF = `0.010017` Chr`19` : `13,171,424`	0.000	1.000	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	1.000	0.000
rs10404486 lBF = `-0.00249954` Chr`19` : `53,284,135`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.000	1.000	0.000
rs1871045 lBF = `-0.012243` Chr`19` : `45,326,768`	0.000	1.000	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	1.000	0.000
rs1860661 lBF = `-0.0163525` Chr`19` : `1,650,134`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs1353531 lBF = `-0.0319868` Chr`19` : `31,846,907`	0.000	1.000	0.000
rs3892630 lBF = `-0.0340664` Chr`19` : `33,181,484`	0.000	1.000	0.000
rs10416963 lBF = `-0.0364009` Chr`19` : `17,762,890`	0.000	1.000	0.000
rs11666341 lBF = `-0.038444` Chr`19` : `52,601,399`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	1.000	0.000
rs10412972 lBF = `-0.0458903` Chr`19` : `52,154,905`	0.000	1.000	0.000
rs10411428 lBF = `-0.0487839` Chr`19` : `52,607,765`	0.000	1.000	0.000
rs12610250 lBF = `-0.0556392` Chr`19` : `8,277,713`	0.000	1.000	0.000
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.000	1.000	0.000
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	1.000	0.000
rs1865075 lBF = `-0.0727677` Chr`19` : `22,554,854`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	1.000	0.000
rs2262909 lBF = `-0.110434` Chr`19` : `22,135,270`	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
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.000	1.000	0.000
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.000	1.000	0.000
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.000	1.000	0.000
rs676388 lBF = `19.9316` Chr`19` : `49,211,969`	0.000	1.000	0.000
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	1.000	0.000
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	1.000	0.000
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	1.000	0.000
rs485186 lBF = `18.7474` Chr`19` : `49,207,206`	0.000	1.000	0.000
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	1.000	0.000
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.000	1.000	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.000	1.000	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.000	1.000	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.000	1.000	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	1.000	0.000
rs1122608 lBF = `10.0379` Chr`19` : `11,163,601`	0.000	1.000	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.000	1.000	0.000
rs281377 lBF = `7.9369` Chr`19` : `49,206,603`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.000	1.000	0.000
rs2075710 lBF = `6.70349` Chr`19` : `1,106,845`	0.000	1.000	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.000	1.000	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.000	1.000	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.000	1.000	0.000
rs4021 lBF = `5.55611` Chr`19` : `49,253,261`	0.000	1.000	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	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
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	1.000	0.000
rs2024092 lBF = `2.7894` Chr`19` : `1,124,031`	0.000	1.000	0.000
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.000	1.000	0.000
rs73036519 lBF = `1.74894` Chr`19` : `45,748,362`	0.000	1.000	0.000
rs3810291 lBF = `1.3375` Chr`19` : `47,569,003`	0.000	1.000	0.000
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.6710

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.4497

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3954

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2392

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.8160

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7169

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7169

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7168

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7168

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7168

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7168

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7168

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7167

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7167

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7167

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7164

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7163

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7162

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7161

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7158

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7157

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7155

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7154

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7148

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7145

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7145

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7142

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7142

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7136

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7131

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7125

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7120

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7112

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7109

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7082

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7066

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7066

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7065

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7045

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7041

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7028

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7013

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6948

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6941

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6903

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6845

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6733

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6673

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6666

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6654

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6631

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6588

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6559

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6545

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6461

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6228

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6227

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6191

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6178

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6150

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6144

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6076

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6027

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6015

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5957

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5887

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5762

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5756

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5700

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5666

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5570

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5546

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5363

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5346

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5196

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5177

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5127

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5112

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4835

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4773

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4315

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4310

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4271

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4244

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4021

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3991

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3989

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3554

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3542

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3479

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3441

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3323

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3283

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3192

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3111

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3029

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2962

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2859

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2706

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2685

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2675

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2390

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2317

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2282

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2154

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1949

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1805

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1681

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1605

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1589

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1563

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1536

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1511

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1455

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1388

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1374

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1358

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1353

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1308

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1091

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1080

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0968

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0963

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0951

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0861

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0848

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0768

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0735

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0685

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0656

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0650

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0576

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0537

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`)