TreeWAS – [K26.5] Chronic or unspecified with perforation

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
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.753	0.247	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.689	0.311	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.685	0.315	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.681	0.318	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.637	0.363	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.622	0.378	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.619	0.381	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.604	0.396	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.595	0.405	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.591	0.409	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.580	0.420	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.572	0.428	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.565	0.435	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.536	0.464	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.503	0.497	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.451	0.548	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.438	0.561	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.436	0.564	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.400	0.600	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.387	0.612	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.385	0.615	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.342	0.658	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.340	0.660	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.330	0.670	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.310	0.690	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.309	0.691	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.283	0.717	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.279	0.721	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.277	0.723	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.240	0.760	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.233	0.767	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.213	0.786	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.204	0.795	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.197	0.803	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.189	0.811	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.188	0.812	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.185	0.815	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.178	0.822	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.172	0.828	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.159	0.841	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.142	0.858	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.124	0.876	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.118	0.881	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.118	0.881	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.117	0.883	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.114	0.886	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.105	0.895	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.104	0.896	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.095	0.905	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.086	0.914	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.086	0.914	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.071	0.928	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.067	0.933	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.058	0.941	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.054	0.945	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.054	0.946	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.048	0.952	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.047	0.953	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.046	0.954	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.045	0.955	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.043	0.956	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.041	0.959	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.040	0.960	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.040	0.960	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.039	0.961	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.038	0.962	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.038	0.962	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.038	0.962	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.035	0.965	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.030	0.970	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.030	0.970	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.029	0.971	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.028	0.972	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.027	0.973	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.027	0.973	0.000
rs4731889 lBF = `-0.0809112` Chr`7` : `132,325,309`	0.027	0.973	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.027	0.973	0.000
rs13240504 lBF = `-0.054625` Chr`7` : `126,089,319`	0.000	0.973	0.026
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.026	0.974	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.025	0.975	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.975	0.025
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.023	0.976	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.023	0.977	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.022	0.977	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.022	0.978	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.007	0.979	0.015
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.021	0.979	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.017	0.982	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.016	0.983	0.001
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.014	0.986	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.014	0.986	0.000
rs148982377 lBF = `0.398419` Chr`7` : `99,075,038`	0.000	0.986	0.013
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.013	0.987	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.012	0.988	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.011	0.989	0.000
rs10236237 lBF = `-0.0568517` Chr`7` : `88,695,070`	0.011	0.989	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.989	0.011
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.011	0.989	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.010	0.990	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.010	0.990	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.010	0.990	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.010	0.990	0.000
rs797820 lBF = `-0.0199049` Chr`7` : `83,609,039`	0.000	0.990	0.010
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.009	0.991	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.008	0.991	0.001
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.008	0.992	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.008	0.992	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.007	0.992	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.007	0.993	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.007	0.993	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.007	0.993	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.007	0.993	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.007	0.993	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.007	0.993	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.007	0.993	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.006	0.993	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.006	0.994	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	0.994	0.006
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.994	0.000
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.006	0.994	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.006	0.994	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.006	0.994	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.994	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.005	0.994	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.995	0.005
rs813379 lBF = `0.0209609` Chr`7` : `90,781,987`	0.005	0.995	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.005	0.995	0.000
rs4343996 lBF = `-0.0961236` Chr`7` : `3,362,642`	0.004	0.995	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.004	0.996	0.000
rs34349384 lBF = `-0.0667723` Chr`7` : `22,435,474`	0.004	0.996	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.004	0.996	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.004	0.996	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.004	0.996	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.996	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.004	0.996	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.004	0.996	0.000
rs4731702 lBF = `2.8816` Chr`7` : `130,433,384`	0.004	0.996	0.000
rs13241165 lBF = `2.89976` Chr`7` : `130,432,538`	0.004	0.996	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.004	0.996	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.003	0.996	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.996	0.003
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.003	0.996	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.003	0.996	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.997	0.003
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.003	0.997	0.000
rs6967330 lBF = `-0.0499433` Chr`7` : `105,658,451`	0.000	0.997	0.003
rs13241538 lBF = `2.58054` Chr`7` : `130,439,862`	0.003	0.997	0.000
rs972283 lBF = `1.51223` Chr`7` : `130,466,854`	0.000	0.997	0.003
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	0.997	0.003
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.003	0.997	0.000
rs10499504 lBF = `0.0230266` Chr`7` : `17,561,583`	0.003	0.997	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.003	0.997	0.000
rs6462411 lBF = `0.00992516` Chr`7` : `3,915,564`	0.003	0.997	0.000
rs2018683 lBF = `-0.065009` Chr`7` : `29,014,195`	0.000	0.997	0.003
rs73099645 lBF = `0.213252` Chr`7` : `43,226,641`	0.000	0.997	0.003
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.003	0.997	0.000
rs2057681 lBF = `-0.101045` Chr`7` : `94,938,257`	0.000	0.997	0.003
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.000	0.997	0.002
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	0.997	0.003
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.002	0.997	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.003	0.997	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.003	0.997	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.003	0.997	0.000
rs1371737 lBF = `-0.0633101` Chr`7` : `9,189,541`	0.003	0.997	0.000
rs17167170 lBF = `0.0752416` Chr`7` : `133,302,345`	0.003	0.997	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.002	0.998	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.002	0.998	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.002	0.998	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.002	0.998	0.000
rs75290158 lBF = `0.0002205` Chr`7` : `96,652,459`	0.002	0.998	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.002	0.998	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.002	0.998	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.002	0.998	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.002	0.998	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	0.998	0.002
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs720475 lBF = `0.0815238` Chr`7` : `144,074,929`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.002	0.998	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.002	0.998	0.000
rs2286195 lBF = `7.52235` Chr`7` : `139,728,584`	0.000	0.998	0.002
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs34044649 lBF = `-0.124815` Chr`7` : `155,655,693`	0.002	0.998	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.002	0.998	0.000
rs7777054 lBF = `-0.0516345` Chr`7` : `17,612,385`	0.000	0.998	0.002
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.002	0.998	0.000
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.001	0.998	0.000
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.001	0.998	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.001	0.998	0.000
rs6955651 lBF = `0.0246413` Chr`7` : `76,639,871`	0.001	0.998	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	0.998	0.001
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.001	0.999	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.001	0.999	0.000
rs7809615 lBF = `0.315856` Chr`7` : `99,184,778`	0.000	0.999	0.001
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.999	0.000
rs1167827 lBF = `0.849705` Chr`7` : `75,163,169`	0.001	0.999	0.000
rs2715148 lBF = `-0.0549931` Chr`7` : `82,450,035`	0.001	0.999	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.001	0.999	0.000
rs4272 lBF = `0.131269` Chr`7` : `92,236,829`	0.001	0.999	0.000
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rs17157663 lBF = `-0.0720388` Chr`7` : `8,998,976`	0.000	0.999	0.000
rs42648 lBF = `-0.0763256` Chr`7` : `89,977,760`	0.001	0.999	0.000
rs6467136 lBF = `-0.0915652` Chr`7` : `127,164,958`	0.000	0.999	0.001
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.000	0.999	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.000	0.999	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.000	0.999	0.000
rs445 lBF = `0.0752584` Chr`7` : `92,408,370`	0.000	0.999	0.001
rs1000597 lBF = `0.00750332` Chr`7` : `30,937,178`	0.001	0.999	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	0.000	0.999	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.000	0.999	0.000
rs13233308 lBF = `-0.0218799` Chr`7` : `87,244,960`	0.001	0.999	0.000
rs76405237 lBF = `-0.0233632` Chr`7` : `140,970,819`	0.000	0.999	0.000
rs6972204 lBF = `-0.05031` Chr`7` : `2,582,452`	0.001	0.999	0.000
rs2718058 lBF = `-0.0705909` Chr`7` : `37,841,534`	0.000	0.999	0.000
rs2237436 lBF = `-0.093418` Chr`7` : `41,730,931`	0.000	0.999	0.001
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.000	0.999	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.001	0.999	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.000	0.999	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.000	0.999	0.000
rs11771526 lBF = `0.0958025` Chr`7` : `32,342,618`	0.000	0.999	0.000
rs2110001 lBF = `0.0503328` Chr`7` : `150,517,022`	0.000	0.999	0.001
rs17513961 lBF = `0.00155061` Chr`7` : `46,392,567`	0.000	0.999	0.001
rs79835348 lBF = `0.0004048` Chr`7` : `28,475,255`	0.000	0.999	0.000
rs2316527 lBF = `-0.0352809` Chr`7` : `154,622,457`	0.000	0.999	0.000
rs7780883 lBF = `-0.040711` Chr`7` : `77,062,712`	0.000	0.999	0.001
rs9918668 lBF = `-0.0640293` Chr`7` : `93,691,744`	0.000	0.999	0.001
rs62441014 lBF = `-0.114454` Chr`7` : `5,533,319`	0.000	0.999	0.001
rs2044831 lBF = `15.2385` Chr`7` : `37,988,589`	0.001	0.999	0.000
rs2598104 lBF = `13.7885` Chr`7` : `37,977,249`	0.001	0.999	0.000
rs7776701 lBF = `0.310001` Chr`7` : `47,442,633`	0.000	0.999	0.001
rs7809234 lBF = `0.105583` Chr`7` : `50,610,379`	0.001	0.999	0.000
rs10226308 lBF = `0.026681` Chr`7` : `37,938,422`	0.000	0.999	0.001
rs118189482 lBF = `0.0146004` Chr`7` : `154,460,660`	0.000	0.999	0.000
rs6465468 lBF = `0.0103626` Chr`7` : `95,169,514`	0.000	0.999	0.001
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.001	0.999	0.000
rs11773845 lBF = `-0.0374816` Chr`7` : `116,191,301`	0.001	0.999	0.000
rs3807766 lBF = `-0.0571295` Chr`7` : `77,682,890`	0.000	0.999	0.001
rs10216189 lBF = `-0.102625` Chr`7` : `5,524,805`	0.000	0.999	0.001
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.000	0.999	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.000	0.999	0.000
rs7785730 lBF = `0.131242` Chr`7` : `28,096,199`	0.001	0.999	0.000
rs34610745 lBF = `0.074074` Chr`7` : `43,334,575`	0.000	0.999	0.000
rs79489058 lBF = `0.0657504` Chr`7` : `29,456,280`	0.000	0.999	0.000
rs4948088 lBF = `-0.00280588` Chr`7` : `51,027,194`	0.000	0.999	0.000
rs17151904 lBF = `-0.0165664` Chr`7` : `25,608,409`	0.000	0.999	0.000
rs1722229 lBF = `-0.0264214` Chr`7` : `101,286,177`	0.000	0.999	0.000
rs4557589 lBF = `-0.0288173` Chr`7` : `2,924,082`	0.000	0.999	0.000
rs3807989 lBF = `-0.0351912` Chr`7` : `116,186,241`	0.001	0.999	0.000
rs6964415 lBF = `-0.0363183` Chr`7` : `46,242,583`	0.000	0.999	0.000
rs12538707 lBF = `19.6336` Chr`7` : `87,124,268`	0.000	0.999	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.000	0.999	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	0.999	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.000	0.999	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.000	0.999	0.000
rs79846815 lBF = `0.0597949` Chr`7` : `134,563,570`	0.000	0.999	0.000
rs2882834 lBF = `0.0472482` Chr`7` : `10,364,723`	0.000	0.999	0.001
rs42235 lBF = `0.0375158` Chr`7` : `92,248,076`	0.001	0.999	0.000
rs4236420 lBF = `-0.0249058` Chr`7` : `9,688,109`	0.000	0.999	0.001
rs10279573 lBF = `-0.047463` Chr`7` : `110,467,221`	0.000	0.999	0.000
rs1294908 lBF = `-0.050908` Chr`7` : `45,235,120`	0.000	0.999	0.000
rs1525293 lBF = `-0.101017` Chr`7` : `70,473,005`	0.001	0.999	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.000	0.999	0.000
rs17428471 lBF = `6.65533` Chr`7` : `27,337,867`	0.000	0.999	0.000
rs17168486 lBF = `1.48001` Chr`7` : `14,898,282`	0.000	0.999	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	0.999	0.000
rs10256972 lBF = `0.0795853` Chr`7` : `1,039,003`	0.000	0.999	0.000
rs1285407 lBF = `0.0686795` Chr`7` : `9,266,388`	0.000	0.999	0.000
rs7805803 lBF = `0.0296733` Chr`7` : `50,225,391`	0.000	0.999	0.000
rs17711722 lBF = `0.0241998` Chr`7` : `65,271,197`	0.000	0.999	0.000
rs74446409 lBF = `0.0193721` Chr`7` : `130,396,769`	0.000	0.999	0.000
rs7788657 lBF = `-0.0132731` Chr`7` : `13,922,141`	0.000	0.999	0.000
rs342293 lBF = `-0.0152893` Chr`7` : `106,372,219`	0.000	0.999	0.000
rs10486776 lBF = `-0.0194356` Chr`7` : `15,742,786`	0.000	0.999	0.000
rs17169634 lBF = `-0.0227026` Chr`7` : `34,093,997`	0.000	0.999	0.000
rs2853552 lBF = `-0.0360162` Chr`7` : `18,980,267`	0.000	0.999	0.000
rs342296 lBF = `-0.0427677` Chr`7` : `106,372,903`	0.000	0.999	0.000
rs1045714 lBF = `-0.0437536` Chr`7` : `2,653,582`	0.000	0.999	0.000
rs11760485 lBF = `-0.0955638` Chr`7` : `4,401,550`	0.000	0.999	0.000
rs10262453 lBF = `0.131567` Chr`7` : `33,256,039`	0.000	0.999	0.000
rs7801581 lBF = `-0.0166717` Chr`7` : `27,223,771`	0.000	0.999	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	0.999	0.000
rs10239506 lBF = `-0.0488135` Chr`7` : `32,216,893`	0.000	0.999	0.000
rs71520386 lBF = `-0.0565581` Chr`7` : `22,853,521`	0.000	0.999	0.000
rs2687481 lBF = `-0.0578404` Chr`7` : `125,869,122`	0.000	0.999	0.000
rs4727751 lBF = `-0.0861539` Chr`7` : `78,336,934`	0.000	0.999	0.000
rs4148805 lBF = `18.9159` Chr`7` : `87,106,365`	0.000	1.000	0.000
rs10261878 lBF = `0.737336` Chr`7` : `25,950,545`	0.000	1.000	0.000
rs10275272 lBF = `0.602182` Chr`7` : `19,160,897`	0.000	1.000	0.000
rs6954796 lBF = `0.0891006` Chr`7` : `20,086,982`	0.000	1.000	0.000
rs11979476 lBF = `0.00902874` Chr`7` : `128,993,756`	0.000	1.000	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.000	1.000	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	1.000	0.000
rs10260824 lBF = `-0.00715685` Chr`7` : `93,637,625`	0.000	1.000	0.000
rs77689838 lBF = `-0.0247742` Chr`7` : `67,591,039`	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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.9048

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7291

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.5835

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9840

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9833

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9316

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8976

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8956

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8900

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8888

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8721

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8395

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8143

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8127

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8107

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8083

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8010

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7887

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7827

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7784

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7688

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7660

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7529

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7407

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7373

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7340

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7138

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7129

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7120

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7054

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6770

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6763

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6565

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6414

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6285

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5977

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5633

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5318

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5278

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4942

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4690

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4645

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4174

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4148

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4078

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3854

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3837

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3441

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3243

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2469

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2461

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.2460

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2376

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2331

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2301

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1950

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1880

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1871

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1835

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1661

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1485

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1290

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1267

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1118

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0872

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0718

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0569

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0560

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0553

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`)