TreeWAS – [K26.4] Chronic or unspecified with haemorrhage

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`	0.820	0.180	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.724	0.276	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.698	0.301	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.685	0.315	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.677	0.323	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.669	0.331	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.656	0.343	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.635	0.365	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.620	0.380	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.604	0.396	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.604	0.396	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.590	0.410	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.581	0.419	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.559	0.441	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.503	0.497	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.436	0.564	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.428	0.571	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.401	0.599	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.377	0.623	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.353	0.646	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.351	0.649	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.348	0.652	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.346	0.654	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.331	0.669	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.318	0.682	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.298	0.702	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.295	0.705	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.283	0.717	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.282	0.717	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.256	0.744	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.244	0.756	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.243	0.757	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.202	0.798	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.191	0.809	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.188	0.812	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.178	0.822	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.174	0.826	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.160	0.840	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.157	0.842	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.149	0.851	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.145	0.854	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.139	0.861	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
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.111	0.888	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.107	0.892	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.099	0.900	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.090	0.910	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.083	0.917	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.065	0.935	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.063	0.937	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.063	0.937	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.061	0.938	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.058	0.941	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.053	0.947	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.051	0.949	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.050	0.950	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.049	0.951	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.047	0.952	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.047	0.953	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.043	0.956	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.042	0.958	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
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.038	0.962	0.000
rs13240504 lBF = `-0.054625` Chr`7` : `126,089,319`	0.000	0.963	0.037
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.035	0.965	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
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.971	0.029
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.029	0.971	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.028	0.972	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.028	0.972	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.028	0.972	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.027	0.973	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.027	0.973	0.000
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`	0.026	0.974	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.026	0.974	0.000
rs4731889 lBF = `-0.0809112` Chr`7` : `132,325,309`	0.025	0.975	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.023	0.976	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
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.021	0.979	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.007	0.979	0.015
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.018	0.982	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.017	0.982	0.000
rs10236237 lBF = `-0.0568517` Chr`7` : `88,695,070`	0.017	0.983	0.000
rs148982377 lBF = `0.398419` Chr`7` : `99,075,038`	0.000	0.984	0.015
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.013	0.986	0.001
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.014	0.986	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.013	0.987	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.012	0.988	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.012	0.988	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`	0.012	0.988	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.011	0.988	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.011	0.989	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.010	0.990	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.990	0.010
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
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.008	0.992	0.001
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.008	0.992	0.000
rs797820 lBF = `-0.0199049` Chr`7` : `83,609,039`	0.000	0.992	0.008
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.007	0.992	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.007	0.993	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.007	0.993	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.007	0.993	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.007	0.993	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.007	0.993	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.007	0.993	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	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
rs813379 lBF = `0.0209609` Chr`7` : `90,781,987`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.994	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.006	0.994	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.994	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.006	0.994	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.006	0.994	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.005	0.994	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.005	0.995	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.995	0.005
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.005	0.995	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	0.995	0.005
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.005	0.995	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.004	0.996	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.004	0.996	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.004	0.996	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	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
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.004	0.996	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.996	0.004
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.004	0.996	0.000
rs2057681 lBF = `-0.101045` Chr`7` : `94,938,257`	0.000	0.996	0.004
rs6955651 lBF = `0.0246413` Chr`7` : `76,639,871`	0.004	0.996	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.003	0.997	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.003	0.997	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.997	0.003
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	0.997	0.003
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.003	0.997	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.003	0.997	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.003	0.997	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.003	0.997	0.000
rs73099645 lBF = `0.213252` Chr`7` : `43,226,641`	0.000	0.997	0.003
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.003	0.997	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.003	0.997	0.000
rs17685 lBF = `0.0213159` Chr`7` : `75,616,105`	0.000	0.997	0.003
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.003	0.997	0.000
rs4343996 lBF = `-0.0961236` Chr`7` : `3,362,642`	0.003	0.997	0.000
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
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.000	0.997	0.002
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.003	0.997	0.000
rs2286195 lBF = `7.52235` Chr`7` : `139,728,584`	0.000	0.997	0.003
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.002	0.997	0.000
rs702485 lBF = `0.039707` Chr`7` : `6,449,272`	0.000	0.997	0.003
rs6967330 lBF = `-0.0499433` Chr`7` : `105,658,451`	0.000	0.998	0.002
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.002	0.998	0.000
rs12718244 lBF = `0.84128` Chr`7` : `50,175,654`	0.000	0.998	0.002
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.002	0.998	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.002	0.998	0.000
rs2245368 lBF = `-0.037174` Chr`7` : `76,608,143`	0.002	0.998	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.002	0.998	0.000
rs10487505 lBF = `0.419149` Chr`7` : `127,860,163`	0.002	0.998	0.000
rs2018683 lBF = `-0.065009` Chr`7` : `29,014,195`	0.000	0.998	0.002
rs7809234 lBF = `0.105583` Chr`7` : `50,610,379`	0.002	0.998	0.000
rs75290158 lBF = `0.0002205` Chr`7` : `96,652,459`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs11767400 lBF = `0.00666734` Chr`7` : `122,160,742`	0.000	0.998	0.002
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
rs7777054 lBF = `-0.0516345` Chr`7` : `17,612,385`	0.000	0.998	0.002
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.002	0.998	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	0.998	0.002
rs7809615 lBF = `0.315856` Chr`7` : `99,184,778`	0.000	0.998	0.002
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.001	0.998	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.998	0.002
rs12533251 lBF = `0.176606` Chr`7` : `99,115,677`	0.000	0.998	0.002
rs17167170 lBF = `0.0752416` Chr`7` : `133,302,345`	0.002	0.998	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.001	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs4646450 lBF = `-0.0327398` Chr`7` : `99,266,318`	0.000	0.998	0.002
rs11974702 lBF = `0.312229` Chr`7` : `99,163,951`	0.000	0.998	0.002
rs17347800 lBF = `0.0181544` Chr`7` : `18,517,279`	0.002	0.998	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.001	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
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.001	0.998	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.002	0.998	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.001	0.998	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.001	0.998	0.000
rs336284 lBF = `0.708232` Chr`7` : `35,293,972`	0.000	0.998	0.002
rs11761528 lBF = `0.29097` Chr`7` : `99,118,801`	0.000	0.998	0.001
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs58880514 lBF = `-0.0781887` Chr`7` : `70,404,837`	0.000	0.999	0.001
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rs7788657 lBF = `-0.0132731` Chr`7` : `13,922,141`	0.000	0.999	0.001
rs3779195 lBF = `-0.0196346` Chr`7` : `97,993,362`	0.001	0.999	0.000
rs6968865 lBF = `-0.0368458` Chr`7` : `17,287,269`	0.000	0.999	0.001
rs10953730 lBF = `-0.048785` Chr`7` : `112,911,410`	0.001	0.999	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.000	0.999	0.001
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.000	0.999	0.001
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.000	0.999	0.001
rs147642358 lBF = `0.230818` Chr`7` : `98,932,759`	0.001	0.999	0.000
rs382140 lBF = `0.108171` Chr`7` : `107,782,200`	0.000	0.999	0.001
rs11771429 lBF = `-0.0353625` Chr`7` : `153,271,877`	0.001	0.999	0.000
rs10227393 lBF = `-0.0528696` Chr`7` : `145,062,740`	0.001	0.999	0.000
rs80328607 lBF = `-0.0616031` Chr`7` : `8,451,923`	0.001	0.999	0.000
rs75890985 lBF = `-0.0616952` Chr`7` : `8,450,912`	0.001	0.999	0.000
rs111751834 lBF = `-0.0619058` Chr`7` : `8,451,736`	0.001	0.999	0.000
rs17157663 lBF = `-0.0720388` Chr`7` : `8,998,976`	0.001	0.999	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.000	0.999	0.000
rs79835348 lBF = `0.0004048` Chr`7` : `28,475,255`	0.000	0.999	0.000
rs2316527 lBF = `-0.0352809` Chr`7` : `154,622,457`	0.001	0.999	0.000
rs11763760 lBF = `-0.0362019` Chr`7` : `23,480,467`	0.000	0.999	0.001
rs11771145 lBF = `-0.0924853` Chr`7` : `143,110,762`	0.001	0.999	0.000
rs1486139 lBF = `-0.109` Chr`7` : `46,275,728`	0.000	0.999	0.001
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.000	0.999	0.000
rs17246404 lBF = `1.39279` Chr`7` : `124,462,661`	0.000	0.999	0.001
rs118189482 lBF = `0.0146004` Chr`7` : `154,460,660`	0.000	0.999	0.000
rs10237118 lBF = `-0.0212007` Chr`7` : `140,231,130`	0.000	0.999	0.001
rs6968554 lBF = `-0.0720705` Chr`7` : `17,287,106`	0.000	0.999	0.001
rs357394 lBF = `-0.073979` Chr`7` : `138,049,387`	0.000	0.999	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.000	0.999	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.000	0.999	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.000	0.999	0.000
rs116932763 lBF = `0.00888646` Chr`7` : `149,549,009`	0.000	0.999	0.000
rs342275 lBF = `0.0056673` Chr`7` : `106,359,216`	0.000	0.999	0.001
rs4731662 lBF = `0.00455397` Chr`7` : `129,782,377`	0.001	0.999	0.000
rs6972204 lBF = `-0.05031` Chr`7` : `2,582,452`	0.000	0.999	0.000
rs4731207 lBF = `-0.0608991` Chr`7` : `124,396,645`	0.001	0.999	0.000
rs12540771 lBF = `-0.0707339` Chr`7` : `76,762,951`	0.001	0.999	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.000	0.999	0.000
rs10276619 lBF = `8.37995` Chr`7` : `50,313,352`	0.001	0.999	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.000	0.999	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	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
rs79947808 lBF = `0.102391` Chr`7` : `127,867,455`	0.000	0.999	0.000
rs13238203 lBF = `0.0112571` Chr`7` : `72,129,667`	0.000	0.999	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.000	0.999	0.000
rs237238 lBF = `-0.0364571` Chr`7` : `75,211,414`	0.000	0.999	0.001
rs2392510 lBF = `-0.078476` Chr`7` : `37,746,569`	0.000	0.999	0.001
rs12538707 lBF = `19.6336` Chr`7` : `87,124,268`	0.000	0.999	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.000	0.999	0.000
rs727505 lBF = `1.29474` Chr`7` : `124,462,081`	0.000	0.999	0.001
rs2299116 lBF = `0.238041` Chr`7` : `28,815,239`	0.000	0.999	0.000
rs79489058 lBF = `0.0657504` Chr`7` : `29,456,280`	0.000	0.999	0.000
rs17170849 lBF = `0.012062` Chr`7` : `37,085,053`	0.000	0.999	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.000	0.999	0.000
rs4948088 lBF = `-0.00280588` Chr`7` : `51,027,194`	0.000	0.999	0.000
rs4719147 lBF = `-0.0242564` Chr`7` : `71,016,159`	0.001	0.999	0.000
rs6952808 lBF = `-0.0428949` Chr`7` : `1,886,535`	0.000	0.999	0.001
rs12702919 lBF = `-0.0822542` Chr`7` : `9,550,572`	0.000	0.999	0.001
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.000	0.999	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.000	0.999	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.000	0.999	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.000	0.999	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	0.999	0.000
rs6969802 lBF = `0.0564197` Chr`7` : `112,649,414`	0.000	0.999	0.000
rs17170356 lBF = `-0.00818293` Chr`7` : `146,887,868`	0.000	0.999	0.000
rs11982256 lBF = `-0.0171488` Chr`7` : `86,799,441`	0.000	0.999	0.000
rs2227631 lBF = `-0.0171876` Chr`7` : `100,769,538`	0.000	0.999	0.001
rs342296 lBF = `-0.0427677` Chr`7` : `106,372,903`	0.000	0.999	0.000
rs10263639 lBF = `-0.0565379` Chr`7` : `67,059,267`	0.000	0.999	0.000
rs1595014 lBF = `-0.0588072` Chr`7` : `12,188,529`	0.000	0.999	0.000
rs4148805 lBF = `18.9159` Chr`7` : `87,106,365`	0.000	1.000	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.000	1.000	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.000	1.000	0.000
rs10242311 lBF = `0.612817` Chr`7` : `105,273,720`	0.000	1.000	0.000
rs29880 lBF = `0.0715172` Chr`7` : `40,954,481`	0.000	1.000	0.000
rs74446409 lBF = `0.0193721` Chr`7` : `130,396,769`	0.000	1.000	0.000
rs10231759 lBF = `0.0166435` Chr`7` : `150,512,172`	0.000	1.000	0.000
rs17151904 lBF = `-0.0165664` Chr`7` : `25,608,409`	0.000	1.000	0.000
rs10486776 lBF = `-0.0194356` Chr`7` : `15,742,786`	0.000	1.000	0.000
rs2072209 lBF = `-0.0252312` Chr`7` : `107,592,198`	0.000	1.000	0.000
rs13224682 lBF = `-0.0393924` Chr`7` : `106,763,218`	0.000	1.000	0.000
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.000	1.000	0.000
rs1009115 lBF = `-0.0462684` Chr`7` : `8,434,982`	0.000	1.000	0.000
rs73215715 lBF = `-0.0510685` Chr`7` : `89,628,635`	0.000	1.000	0.000
rs9641123 lBF = `-0.0693676` Chr`7` : `93,197,732`	0.000	1.000	0.000
rs3800962 lBF = `21.2372` Chr`7` : `18,066,569`	0.000	1.000	0.000
rs7798197 lBF = `15.7025` Chr`7` : `19,037,661`	0.000	1.000	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.000	1.000	0.000
rs17428471 lBF = `6.65533` Chr`7` : `27,337,867`	0.000	1.000	0.000
rs12019361 lBF = `0.369839` Chr`7` : `87,573,647`	0.000	1.000	0.000
rs2290263 lBF = `0.0268183` Chr`7` : `25,887,278`	0.000	1.000	0.000
rs71574743 lBF = `0.0140309` Chr`7` : `123,044,507`	0.000	1.000	0.000
rs6951245 lBF = `-0.0165218` Chr`7` : `1,058,193`	0.000	1.000	0.000
rs13236930 lBF = `-0.0594402` Chr`7` : `68,026,083`	0.000	1.000	0.000
rs4148807 lBF = `18.9699` Chr`7` : `87,105,812`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.9061

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.7792

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7460

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9970

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9757

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9455

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9411

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9302

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9073

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8783

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8620

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8437

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8409

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8315

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8134

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8111

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7891

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7708

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7631

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7537

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7036

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7028

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6925

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6862

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6611

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6577

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6542

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6186

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6160

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6159

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6157

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6090

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5639

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5557

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5076

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4552

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4486

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4164

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4070

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4025

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3911

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3875

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3692

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3604

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3600

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3552

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3502

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3274

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2879

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2790

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2389

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2279

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2141

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1897

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1758

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1560

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1239

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1234

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1194

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1178

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1081

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1052

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0834

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0561

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0558

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0520

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)