TreeWAS – [Z95.1] Presence of aortocoronary bypass graft

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
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.995	0.005	0.000
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.991	0.009	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.983	0.017	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.982	0.018	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.971	0.029	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.951	0.049	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.940	0.060	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.919	0.081	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.919	0.081	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.914	0.086	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.913	0.087	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.908	0.092	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.883	0.117	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.844	0.156	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.828	0.172	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.812	0.188	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.763	0.237	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.759	0.241	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.757	0.243	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.755	0.245	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.751	0.249	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.699	0.301	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.687	0.312	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.675	0.325	0.000
rs10953541 lBF = `0.816487` Chr`7` : `107,244,545`	0.000	0.343	0.657
rs7798197 lBF = `15.7025` Chr`7` : `19,037,661`	0.636	0.364	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.636	0.364	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.628	0.372	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.623	0.377	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.595	0.405	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.584	0.416	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.556	0.444	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.518	0.482	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.478	0.522	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.463	0.537	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.451	0.549	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.431	0.569	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.415	0.585	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.385	0.615	0.000
rs11984041 lBF = `12.4243` Chr`7` : `19,031,935`	0.376	0.624	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.362	0.638	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.342	0.658	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.318	0.682	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.690	0.310
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.310	0.690	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.296	0.704	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.293	0.707	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.272	0.728	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.263	0.737	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.241	0.759	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.239	0.761	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.229	0.771	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.218	0.782	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.184	0.816	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.172	0.828	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.170	0.830	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.156	0.844	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.147	0.853	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.144	0.856	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.143	0.856	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.143	0.856	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.140	0.860	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.123	0.877	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.123	0.877	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.119	0.881	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.112	0.888	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.110	0.890	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.109	0.891	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.104	0.896	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.102	0.898	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.094	0.906	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.093	0.907	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.090	0.910	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.082	0.918	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.074	0.926	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.073	0.927	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.066	0.934	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.060	0.940	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.057	0.943	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.051	0.949	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.047	0.953	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.044	0.956	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.043	0.956	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.043	0.957	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.043	0.957	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.038	0.961	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.037	0.963	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.037	0.963	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.036	0.964	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.036	0.964	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.035	0.965	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.033	0.967	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.032	0.968	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.030	0.970	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.029	0.971	0.000
rs6956741 lBF = `-0.0104944` Chr`7` : `112,094,743`	0.027	0.973	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.026	0.974	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.024	0.976	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.977	0.023
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.023	0.977	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.022	0.977	0.001
rs75511781 lBF = `10.9224` Chr`7` : `131,323,710`	0.021	0.979	0.000
rs1010366 lBF = `-0.0660155` Chr`7` : `7,229,826`	0.021	0.979	0.000
rs10486003 lBF = `-0.0197037` Chr`7` : `97,229,778`	0.000	0.979	0.021
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.020	0.980	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.020	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.020	0.980	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.019	0.981	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.016	0.983	0.001
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.015	0.985	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.014	0.986	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	0.986	0.014
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.014	0.986	0.000
rs17173637 lBF = `0.174727` Chr`7` : `150,529,449`	0.013	0.987	0.000
rs4332037 lBF = `1.13563` Chr`7` : `1,950,809`	0.000	0.987	0.013
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.011	0.988	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.011	0.988	0.000
rs4722672 lBF = `0.12026` Chr`7` : `27,231,762`	0.011	0.989	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.011	0.989	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.010	0.990	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.010	0.990	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.009	0.991	0.000
rs4730250 lBF = `-0.0424327` Chr`7` : `107,207,695`	0.000	0.991	0.009
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.008	0.991	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.008	0.991	0.000
rs550448 lBF = `0.0595546` Chr`7` : `28,229,042`	0.000	0.992	0.008
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.008	0.992	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.008	0.992	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.008	0.992	0.000
rs12670798 lBF = `-0.0225138` Chr`7` : `21,607,352`	0.008	0.992	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.993	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.006	0.994	0.001
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.006	0.994	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.006	0.994	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.006	0.994	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.006	0.994	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.005	0.995	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.005	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.995	0.005
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.996	0.004
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.004	0.996	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.004	0.996	0.000
rs11556924 lBF = `1.14792` Chr`7` : `129,663,496`	0.000	0.996	0.004
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.003	0.996	0.000
rs6583437 lBF = `-0.0504736` Chr`7` : `50,350,267`	0.003	0.997	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.003	0.997	0.000
rs36109662 lBF = `-0.0222975` Chr`7` : `104,083,702`	0.003	0.997	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.003	0.997	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.997	0.003
rs1404278 lBF = `8.61678` Chr`7` : `27,634,726`	0.003	0.997	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	0.997	0.003
rs13244903 lBF = `8.31999` Chr`7` : `27,688,911`	0.003	0.997	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.001	0.997	0.002
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.003	0.997	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.000	0.998	0.002
rs10230207 lBF = `-0.0555349` Chr`7` : `19,611,307`	0.002	0.998	0.000
rs7781977 lBF = `-0.0523482` Chr`7` : `50,346,134`	0.002	0.998	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.002	0.998	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.002	0.998	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.002	0.998	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.002	0.998	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.002	0.998	0.000
rs2189246 lBF = `-0.0621952` Chr`7` : `82,444,372`	0.002	0.998	0.000
rs29880 lBF = `0.0715172` Chr`7` : `40,954,481`	0.000	0.998	0.002
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs6978230 lBF = `-0.00355241` Chr`7` : `137,529,578`	0.000	0.998	0.002
rs17312438 lBF = `0.0542043` Chr`7` : `85,566,476`	0.000	0.998	0.002
rs540425 lBF = `-0.0847821` Chr`7` : `44,592,072`	0.000	0.998	0.002
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.002
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs520161 lBF = `5.3246` Chr`7` : `28,210,660`	0.002	0.998	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.002
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs875971 lBF = `0.0644474` Chr`7` : `65,617,595`	0.002	0.998	0.000
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.002	0.998	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	0.998	0.002
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.001	0.999	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.001	0.999	0.000
rs60525454 lBF = `0.680418` Chr`7` : `2,652,222`	0.001	0.999	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.000	0.999	0.001
rs17166082 lBF = `-0.0037196` Chr`7` : `131,713,360`	0.000	0.999	0.001
rs552707 lBF = `2.48304` Chr`7` : `28,205,303`	0.000	0.999	0.001
rs500454 lBF = `0.00039349` Chr`7` : `80,799,834`	0.001	0.999	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs6421315 lBF = `-0.0596232` Chr`7` : `50,355,207`	0.001	0.999	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.000	0.999	0.001
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs1029534 lBF = `3.48857` Chr`7` : `28,189,083`	0.000	0.999	0.001
rs17691394 lBF = `0.00130571` Chr`7` : `126,324,591`	0.001	0.999	0.000
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rs974883 lBF = `5.77514` Chr`7` : `27,588,734`	0.000	1.000	0.000
rs10277115 lBF = `0.169212` Chr`7` : `1,285,195`	0.000	1.000	0.000
rs1722229 lBF = `-0.0264214` Chr`7` : `101,286,177`	0.000	1.000	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.000	1.000	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.000	1.000	0.000
rs13223036 lBF = `0.072373` Chr`7` : `120,747,308`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs17173608 lBF = `0.00678417` Chr`7` : `150,036,664`	0.000	1.000	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.000	1.000	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.000	1.000	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.000	1.000	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.000	1.000	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.000	1.000	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.000	1.000	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	1.000	0.000
rs62485867 lBF = `0.141644` Chr`7` : `103,647,344`	0.000	1.000	0.000
rs4272 lBF = `0.131269` Chr`7` : `92,236,829`	0.000	1.000	0.000
rs4723619 lBF = `0.12456` Chr`7` : `37,266,352`	0.000	1.000	0.000
rs2110483 lBF = `0.0581393` Chr`7` : `93,880,093`	0.000	1.000	0.000
rs1668357 lBF = `-0.0371005` Chr`7` : `38,004,406`	0.000	1.000	0.000
rs2072183 lBF = `-0.0545491` Chr`7` : `44,579,180`	0.000	1.000	0.000
rs4870684 lBF = `-0.0735662` Chr`7` : `57,699,151`	0.000	1.000	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.000	1.000	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.000	1.000	0.000
rs17154917 lBF = `0.0351242` Chr`7` : `80,836,709`	0.000	1.000	0.000
rs12702595 lBF = `0.0323261` Chr`7` : `7,259,270`	0.000	1.000	0.000
rs117576300 lBF = `0.0302396` Chr`7` : `81,768,172`	0.000	1.000	0.000
rs74446409 lBF = `0.0193721` Chr`7` : `130,396,769`	0.000	1.000	0.000
rs42041 lBF = `0.014951` Chr`7` : `92,246,744`	0.000	1.000	0.000
rs117982730 lBF = `-0.0065703` Chr`7` : `125,896,748`	0.000	1.000	0.000
rs11978267 lBF = `-0.0496632` Chr`7` : `50,466,304`	0.000	1.000	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.000	1.000	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.000	1.000	0.000
rs10214930 lBF = `1.11653` Chr`7` : `27,784,949`	0.000	1.000	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	1.000	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.000	1.000	0.000
rs73066442 lBF = `-0.00645015` Chr`7` : `21,592,973`	0.000	1.000	0.000
rs12706411 lBF = `-0.0206784` Chr`7` : `122,065,219`	0.000	1.000	0.000
rs2072209 lBF = `-0.0252312` Chr`7` : `107,592,198`	0.000	1.000	0.000
rs10263087 lBF = `-0.0367014` Chr`7` : `154,970,469`	0.000	1.000	0.000
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.000	1.000	0.000
rs4727963 lBF = `-0.0484868` Chr`7` : `122,759,980`	0.000	1.000	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.000	1.000	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.000	1.000	0.000
rs7779057 lBF = `0.0998735` Chr`7` : `106,594,885`	0.000	1.000	0.000
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs188966536 lBF = `0.00983214` Chr`7` : `6,971,050`	0.000	1.000	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.000	1.000	0.000
rs13225783 lBF = `-0.0196291` Chr`7` : `27,330,056`	0.000	1.000	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.000	1.000	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.000	1.000	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.000	1.000	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.000	1.000	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.000	1.000	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.000	1.000	0.000
rs4294134 lBF = `0.553239` Chr`7` : `135,293,128`	0.000	1.000	0.000
rs17166499 lBF = `0.0877823` Chr`7` : `12,937,255`	0.000	1.000	0.000
rs975369 lBF = `0.00264626` Chr`7` : `25,612,661`	0.000	1.000	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.000	1.000	0.000
rs12701220 lBF = `-0.0366596` Chr`7` : `1,022,728`	0.000	1.000	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.000	1.000	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.000	1.000	0.000
rs10486715 lBF = `0.636577` Chr`7` : `41,478,608`	0.000	1.000	0.000
rs146883444 lBF = `0.177148` Chr`7` : `147,616,793`	0.000	1.000	0.000
rs144872818 lBF = `0.168542` Chr`7` : `49,894,195`	0.000	1.000	0.000
rs11574703 lBF = `0.0394684` Chr`7` : `80,286,908`	0.000	1.000	0.000
rs10270805 lBF = `-0.0084613` Chr`7` : `16,500,142`	0.000	1.000	0.000
rs11976020 lBF = `-0.0568841` Chr`7` : `72,247,800`	0.000	1.000	0.000
rs730954 lBF = `-0.0886659` Chr`7` : `26,574,666`	0.000	1.000	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.000	1.000	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.000	1.000	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.000	1.000	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.000	1.000	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.000	1.000	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.000	1.000	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.000	1.000	0.000
rs35681285 lBF = `0.337815` Chr`7` : `16,326,646`	0.000	1.000	0.000
rs1175000 lBF = `0.256082` Chr`7` : `22,024,040`	0.000	1.000	0.000
rs2968863 lBF = `0.217834` Chr`7` : `150,623,137`	0.000	1.000	0.000
rs2429582 lBF = `0.150303` Chr`7` : `122,202,593`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs60464047 lBF = `0.113646` Chr`7` : `39,418,538`	0.000	1.000	0.000
rs10953454 lBF = `0.0295221` Chr`7` : `104,503,813`	0.000	1.000	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	1.000	0.000
rs2252521 lBF = `0.00240276` Chr`7` : `29,041,190`	0.000	1.000	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.000	1.000	0.000
rs77909595 lBF = `-0.00222583` Chr`7` : `95,700,008`	0.000	1.000	0.000
rs2367911 lBF = `-0.00492152` Chr`7` : `81,786,220`	0.000	1.000	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	1.000	0.000
rs146885652 lBF = `-0.0190973` Chr`7` : `136,172,773`	0.000	1.000	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	1.000	0.000
rs12702661 lBF = `-0.0320217` Chr`7` : `7,864,751`	0.000	1.000	0.000
rs11980379 lBF = `-0.0532557` Chr`7` : `50,469,981`	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 X0002

log Bayes Factor = 522.044

contains 22 variants

1.0000

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

1.0000

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

1.0000

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

1.0000

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9999

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9995

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5036

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

1.0000

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

1.0000

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

1.0000

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

1.0000

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

1.0000

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

1.0000

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9999

Cluster X0104

log Bayes Factor = 122.44

contains 5 variants

0.9998

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9997

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9997

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9997

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9982

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.9978

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9954

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9939

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9936

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9934

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9908

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9904

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9706

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9670

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9573

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9295

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9156

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7607

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7506

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6227

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6156

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5613

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3274

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3236

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2402

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1877

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1180

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1130

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0960

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0865

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0838

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0788

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0724

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`)