TreeWAS – [Z95.9] Presence of cardiac and vascular implant and graft, unspecified

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
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.888	0.112	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.867	0.133	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.831	0.169	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.823	0.177	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.812	0.188	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.767	0.233	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.759	0.241	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.758	0.242	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.757	0.242	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.755	0.245	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.751	0.249	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.717	0.283	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.714	0.286	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.712	0.288	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.704	0.296	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.702	0.297	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.691	0.309	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.688	0.312	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.683	0.316	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.668	0.332	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.618	0.382	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.603	0.397	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.589	0.411	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.577	0.422	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.573	0.427	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.549	0.451	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.520	0.480	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.520	0.480	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.518	0.481	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.518	0.481	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.515	0.485	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.489	0.511	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.482	0.517	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.481	0.519	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.465	0.534	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.455	0.545	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.447	0.553	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.436	0.563	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.427	0.573	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.427	0.573	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.418	0.582	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.418	0.582	0.000
rs7798197 lBF = `15.7025` Chr`7` : `19,037,661`	0.414	0.586	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.393	0.606	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.385	0.614	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.381	0.619	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.373	0.626	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.360	0.640	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.298	0.702	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.270	0.730	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.253	0.747	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.251	0.749	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.241	0.758	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.759	0.241
rs10953541 lBF = `0.816487` Chr`7` : `107,244,545`	0.000	0.787	0.213
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.208	0.792	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.191	0.809	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.190	0.810	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.180	0.819	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.178	0.822	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.170	0.829	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.169	0.831	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.169	0.831	0.000
rs11984041 lBF = `12.4243` Chr`7` : `19,031,935`	0.169	0.831	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.165	0.835	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.161	0.839	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.140	0.860	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.138	0.862	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.134	0.866	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.134	0.866	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.113	0.886	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.109	0.891	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.091	0.909	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.083	0.917	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.079	0.921	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.079	0.921	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.073	0.927	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.073	0.927	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.070	0.930	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.069	0.931	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.063	0.937	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.061	0.939	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.059	0.940	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.057	0.943	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.057	0.943	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.053	0.947	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.052	0.948	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.051	0.949	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.050	0.949	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.050	0.950	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.050	0.950	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.044	0.956	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.044	0.956	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.039	0.961	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.038	0.962	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.037	0.963	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.036	0.964	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.032	0.968	0.000
rs1010366 lBF = `-0.0660155` Chr`7` : `7,229,826`	0.031	0.969	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.029	0.971	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.028	0.972	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.026	0.973	0.001
rs10486003 lBF = `-0.0197037` Chr`7` : `97,229,778`	0.000	0.973	0.027
rs2192271 lBF = `-0.0903619` Chr`7` : `153,549,296`	0.026	0.974	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.024	0.976	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.024	0.976	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.023	0.977	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.023	0.977	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.023	0.977	0.000
rs75511781 lBF = `10.9224` Chr`7` : `131,323,710`	0.022	0.978	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.022	0.978	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.022	0.978	0.000
rs29880 lBF = `0.0715172` Chr`7` : `40,954,481`	0.000	0.979	0.021
rs6947495 lBF = `-0.094916` Chr`7` : `153,553,064`	0.020	0.980	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.020	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.020	0.980	0.000
rs6956741 lBF = `-0.0104944` Chr`7` : `112,094,743`	0.018	0.982	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.018	0.982	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.982	0.018
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.017	0.983	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.017	0.983	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.015	0.985	0.000
rs12671878 lBF = `-0.096223` Chr`7` : `153,558,949`	0.013	0.987	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.012	0.988	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.011	0.988	0.001
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.011	0.988	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.009	0.991	0.000
rs6583337 lBF = `0.0670563` Chr`7` : `40,483`	0.009	0.991	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	0.992	0.008
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.008	0.992	0.000
rs4722672 lBF = `0.12026` Chr`7` : `27,231,762`	0.008	0.992	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.008	0.992	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.007	0.993	0.000
rs2110267 lBF = `-0.104914` Chr`7` : `153,535,689`	0.007	0.993	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.007	0.993	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.007	0.993	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.006	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.007	0.993	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.993	0.000
rs314313 lBF = `-0.104433` Chr`7` : `100,423,365`	0.000	0.993	0.007
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.005	0.994	0.001
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.006	0.994	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.006	0.994	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.005	0.994	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.005	0.995	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.005	0.995	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.005	0.995	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.005	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.004	0.996	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.004	0.996	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.000	0.996	0.004
rs17168594 lBF = `5.46141` Chr`7` : `15,048,776`	0.000	0.996	0.004
rs11771145 lBF = `-0.0924853` Chr`7` : `143,110,762`	0.000	0.997	0.003
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.003	0.997	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.003	0.997	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.003	0.997	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.997	0.003
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.997	0.003
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.003	0.997	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.003	0.997	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.003	0.997	0.000
rs4730250 lBF = `-0.0424327` Chr`7` : `107,207,695`	0.000	0.997	0.003
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.997	0.003
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.003	0.997	0.000
rs11765886 lBF = `0.848745` Chr`7` : `69,238,158`	0.003	0.997	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.002	0.997	0.000
rs10226084 lBF = `-0.0912986` Chr`7` : `17,997,612`	0.003	0.997	0.000
rs314370 lBF = `0.217177` Chr`7` : `100,453,208`	0.000	0.998	0.002
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.000	0.998	0.002
rs4730268 lBF = `-0.0498351` Chr`7` : `107,443,386`	0.002	0.998	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.002	0.998	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.002	0.998	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.002	0.998	0.000
rs73183643 lBF = `10.2453` Chr`7` : `101,418,653`	0.000	0.998	0.002
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	0.998	0.002
rs2191349 lBF = `5.07677` Chr`7` : `15,064,309`	0.002	0.998	0.000
rs798554 lBF = `-0.0890473` Chr`7` : `2,759,795`	0.000	0.998	0.002
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs798544 lBF = `-0.0888818` Chr`7` : `2,763,102`	0.000	0.998	0.002
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
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.002	0.998	0.000
rs2167364 lBF = `-0.0728901` Chr`7` : `50,565,827`	0.000	0.998	0.002
rs7777484 lBF = `-0.0857597` Chr`7` : `2,814,271`	0.000	0.998	0.002
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.002
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.002	0.998	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.002	0.998	0.000
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.001	0.998	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.002	0.998	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.001	0.998	0.000
rs1182188 lBF = `-0.0486813` Chr`7` : `2,869,985`	0.000	0.998	0.002
rs13245899 lBF = `1.31003` Chr`7` : `100,497,131`	0.000	0.998	0.002
rs12666989 lBF = `1.62541` Chr`7` : `100,486,754`	0.000	0.998	0.002
rs10244051 lBF = `5.07893` Chr`7` : `15,063,833`	0.000	0.998	0.002
rs11975386 lBF = `0.03953` Chr`7` : `93,705,033`	0.000	0.998	0.002
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rs730954 lBF = `-0.0886659` Chr`7` : `26,574,666`	0.000	0.999	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.000	0.999	0.000
rs6463768 lBF = `1.85242` Chr`7` : `8,157,887`	0.000	0.999	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.000	0.999	0.000
rs1636744 lBF = `0.209488` Chr`7` : `16,984,280`	0.000	0.999	0.000
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.000	0.999	0.000
rs113779084 lBF = `0.0396014` Chr`7` : `11,871,787`	0.000	0.999	0.000
rs314590 lBF = `-0.00668706` Chr`7` : `4,474,132`	0.000	0.999	0.000
rs10488031 lBF = `-0.0317988` Chr`7` : `37,076,854`	0.000	0.999	0.000
rs6960319 lBF = `-0.0870051` Chr`7` : `147,258,631`	0.000	0.999	0.000
rs731565 lBF = `0.0892396` Chr`7` : `147,406,262`	0.000	1.000	0.000
rs7809799 lBF = `0.0181533` Chr`7` : `98,760,504`	0.000	1.000	0.000
rs9986765 lBF = `0.00046339` Chr`7` : `142,835,239`	0.000	1.000	0.000
rs114945094 lBF = `-0.00580405` Chr`7` : `12,193,432`	0.000	1.000	0.000
rs10260824 lBF = `-0.00715685` Chr`7` : `93,637,625`	0.000	1.000	0.000
rs10486776 lBF = `-0.0194356` Chr`7` : `15,742,786`	0.000	1.000	0.000
rs4722750 lBF = `-0.0355172` Chr`7` : `28,004,198`	0.000	1.000	0.000
rs7781977 lBF = `-0.0523482` Chr`7` : `50,346,134`	0.000	1.000	0.000
rs13247874 lBF = `-0.07835` Chr`7` : `73,010,442`	0.000	1.000	0.000
rs10488360 lBF = `-0.0948893` Chr`7` : `4,411,209`	0.000	1.000	0.000
rs2290221 lBF = `33.8789` Chr`7` : `37,987,632`	0.000	1.000	0.000
rs16879765 lBF = `33.0922` Chr`7` : `37,989,095`	0.000	1.000	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.000	1.000	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.000	1.000	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.000	1.000	0.000
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.000	1.000	0.000
rs2968863 lBF = `0.217834` Chr`7` : `150,623,137`	0.000	1.000	0.000
rs2968864 lBF = `0.20783` Chr`7` : `150,622,162`	0.000	1.000	0.000
rs6466055 lBF = `0.0576311` Chr`7` : `104,929,064`	0.000	1.000	0.000
rs1299548 lBF = `-0.0716168` Chr`7` : `7,302,293`	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
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.000	1.000	0.000
rs1525739 lBF = `0.22141` Chr`7` : `16,889,812`	0.000	1.000	0.000
rs7787531 lBF = `0.00424964` Chr`7` : `129,023,597`	0.000	1.000	0.000
rs79835348 lBF = `0.0004048` Chr`7` : `28,475,255`	0.000	1.000	0.000
rs1861525 lBF = `-0.0080982` Chr`7` : `25,161,602`	0.000	1.000	0.000
rs10499859 lBF = `-0.0141005` Chr`7` : `80,258,810`	0.000	1.000	0.000
rs12539316 lBF = `-0.0633281` Chr`7` : `72,977,898`	0.000	1.000	0.000
rs9641123 lBF = `-0.0693676` Chr`7` : `93,197,732`	0.000	1.000	0.000
rs17145713 lBF = `-0.0735279` Chr`7` : `72,904,810`	0.000	1.000	0.000
rs1178979 lBF = `-0.0740334` Chr`7` : `72,856,430`	0.000	1.000	0.000
rs1178977 lBF = `-0.0744698` Chr`7` : `72,857,049`	0.000	1.000	0.000
rs3914132 lBF = `-0.074479` Chr`7` : `103,527,369`	0.000	1.000	0.000
rs9638182 lBF = `-0.0773267` Chr`7` : `72,999,105`	0.000	1.000	0.000
rs2049622 lBF = `-0.0796926` Chr`7` : `42,176,282`	0.000	1.000	0.000
rs13226650 lBF = `-0.0845665` Chr`7` : `73,017,005`	0.000	1.000	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.000	1.000	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.000	1.000	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.000	1.000	0.000
rs56314523 lBF = `0.073521` Chr`7` : `8,158,583`	0.000	1.000	0.000
rs7786765 lBF = `0.0384523` Chr`7` : `93,199,928`	0.000	1.000	0.000
rs11769293 lBF = `-0.00980119` Chr`7` : `28,911,807`	0.000	1.000	0.000
rs7800944 lBF = `-0.0603657` Chr`7` : `73,035,857`	0.000	1.000	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.000	1.000	0.000
rs3757458 lBF = `0.123124` Chr`7` : `100,881,403`	0.000	1.000	0.000
rs10243024 lBF = `0.0411072` Chr`7` : `116,346,603`	0.000	1.000	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	1.000	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	0.000	1.000	0.000
rs75290158 lBF = `0.0002205` Chr`7` : `96,652,459`	0.000	1.000	0.000
rs211829 lBF = `-0.00123029` Chr`7` : `110,048,893`	0.000	1.000	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	1.000	0.000
rs12531478 lBF = `-0.0442161` Chr`7` : `15,239,894`	0.000	1.000	0.000
rs10239506 lBF = `-0.0488135` Chr`7` : `32,216,893`	0.000	1.000	0.000
rs2286276 lBF = `-0.0671158` Chr`7` : `72,987,354`	0.000	1.000	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.000	1.000	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.000	1.000	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	1.000	0.000
rs6954796 lBF = `0.0891006` Chr`7` : `20,086,982`	0.000	1.000	0.000
rs73098786 lBF = `0.057661` Chr`7` : `35,022,971`	0.000	1.000	0.000
rs10486860 lBF = `0.0403992` Chr`7` : `96,598,826`	0.000	1.000	0.000
rs17154917 lBF = `0.0351242` Chr`7` : `80,836,709`	0.000	1.000	0.000
rs740145 lBF = `0.0183006` Chr`7` : `29,921,524`	0.000	1.000	0.000
rs12530845 lBF = `0.00786972` Chr`7` : `135,329,978`	0.000	1.000	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	1.000	0.000
rs1918526 lBF = `0.00242736` Chr`7` : `115,138,008`	0.000	1.000	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	1.000	0.000
rs12669789 lBF = `-0.0241738` Chr`7` : `18,734,065`	0.000	1.000	0.000
rs2349775 lBF = `-0.0835505` Chr`7` : `8,718,080`	0.000	1.000	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.000	1.000	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.000	1.000	0.000
rs10226228 lBF = `5.44741` Chr`7` : `32,315,613`	0.000	1.000	0.000
rs17173637 lBF = `0.174727` Chr`7` : `150,529,449`	0.000	1.000	0.000
rs60111824 lBF = `0.0462818` Chr`7` : `6,774,135`	0.000	1.000	0.000
rs28581422 lBF = `0.0287139` Chr`7` : `121,258,371`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs9648428 lBF = `0.00813016` Chr`7` : `36,211,749`	0.000	1.000	0.000
rs117898805 lBF = `-0.00112999` Chr`7` : `54,516,128`	0.000	1.000	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.000	1.000	0.000
rs9641855 lBF = `-0.0436041` Chr`7` : `129,356,206`	0.000	1.000	0.000
rs1472147 lBF = `-0.0443372` Chr`7` : `128,503,543`	0.000	1.000	0.000
rs2189246 lBF = `-0.0621952` Chr`7` : `82,444,372`	0.000	1.000	0.000
rs4917017 lBF = `-0.0721513` Chr`7` : `50,335,232`	0.000	1.000	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	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

0.9992

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.9753

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.8832

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8759

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4794

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.2155

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.1208

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0776

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9983

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.9932

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9895

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9839

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9829

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9818

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9797

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9701

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9690

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9688

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9669

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9587

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9566

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9558

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9553

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9553

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9489

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9430

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9397

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9372

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9369

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9348

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9290

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9284

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9123

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.9077

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9060

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9059

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8950

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8916

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8850

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8421

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8414

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8372

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8349

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8111

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8024

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8015

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7971

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7950

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7917

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7691

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7606

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7443

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7409

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7316

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7227

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7047

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7002

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6281

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6257

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5972

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5832

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5630

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5248

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5195

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5137

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4502

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4444

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4365

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4039

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4025

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3916

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3812

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3395

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3194

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3106

Cluster X0097

log Bayes Factor = 96.1227

contains 10 variants

0.2325

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2219

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2193

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1956

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1827

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1790

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1676

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1450

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1407

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1383

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1247

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1233

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1089

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1064

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0879

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0865

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0794

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0768

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0673

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0632

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0623

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0537

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0506

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`)