TreeWAS – [K28.4] 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
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.514	0.486	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.514	0.486	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.514	0.486	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.514	0.486	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.513	0.487	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.513	0.487	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.513	0.487	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.509	0.491	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.508	0.492	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.503	0.497	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.501	0.499	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.493	0.506	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.489	0.511	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.488	0.512	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.484	0.516	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.477	0.523	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.473	0.527	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.471	0.529	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.465	0.535	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.416	0.583	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.398	0.602	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.330	0.670	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.309	0.690	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.293	0.707	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.289	0.710	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.281	0.718	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.279	0.720	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.246	0.754	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.227	0.773	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.222	0.778	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.216	0.784	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.206	0.794	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.200	0.800	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.191	0.808	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.188	0.812	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.185	0.815	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.178	0.822	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.161	0.839	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.156	0.844	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.154	0.846	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.140	0.860	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.135	0.865	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.129	0.870	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.129	0.870	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.128	0.872	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.120	0.880	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.111	0.889	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.107	0.893	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.101	0.899	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.095	0.904	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.074	0.926	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.074	0.926	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.066	0.934	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.063	0.936	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.060	0.939	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.053	0.947	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.050	0.950	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.046	0.953	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.046	0.954	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.045	0.955	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.044	0.956	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.043	0.957	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.042	0.958	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.041	0.959	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.041	0.959	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.040	0.960	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.037	0.963	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`	0.033	0.967	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.033	0.967	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.032	0.967	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.032	0.968	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.030	0.970	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.029	0.971	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.027	0.973	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	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
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.025	0.975	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.025	0.975	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.025	0.975	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.025	0.975	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.024	0.976	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.007	0.978	0.015
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.022	0.978	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.017	0.982	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.016	0.984	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.014	0.986	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.986	0.014
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.013	0.986	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.013	0.986	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.013	0.987	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.013	0.987	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.013	0.987	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.013	0.987	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.012	0.987	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.012	0.988	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.011	0.988	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.011	0.988	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.009	0.991	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.009	0.991	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.009	0.991	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.008	0.991	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.008	0.992	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.008	0.992	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.008	0.992	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.007	0.993	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.993	0.007
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	0.993	0.007
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.007	0.993	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.007	0.993	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.993	0.007
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.007	0.993	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.006	0.993	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.006	0.993	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.006	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.994	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.006	0.994	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.006	0.994	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.006	0.994	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.994	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.006	0.994	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.005	0.994	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.005	0.995	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.005	0.995	0.000
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.005	0.995	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.005	0.995	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.005	0.995	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.004	0.995	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.004	0.996	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.004	0.996	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.004	0.996	0.000
rs148982377 lBF = `0.398419` Chr`7` : `99,075,038`	0.000	0.996	0.004
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.996	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.004	0.996	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.004	0.996	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.004	0.996	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.996	0.004
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.003	0.996	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.996	0.003
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.003	0.997	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.003	0.997	0.000
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
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.003	0.997	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	0.997	0.003
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.002	0.997	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	0.998	0.002
rs75290158 lBF = `0.0002205` Chr`7` : `96,652,459`	0.002	0.998	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.002	0.998	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.002	0.998	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	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
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.002	0.998	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.002	0.998	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.002	0.998	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.001	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	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
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	0.998	0.001
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.001	0.998	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.001	0.998	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.001	0.998	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.001	0.998	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.999	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.001	0.999	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.001	0.999	0.000
rs117530689 lBF = `0.0449646` Chr`7` : `102,030,935`	0.001	0.999	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.001	0.999	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.001	0.999	0.001
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.001	0.999	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.001	0.999	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.001	0.999	0.000
rs1358075 lBF = `0.00040226` Chr`7` : `146,135,938`	0.001	0.999	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.001	0.999	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	0.999	0.001
rs7795747 lBF = `0.00038589` Chr`7` : `150,361,718`	0.001	0.999	0.000
rs183110392 lBF = `0.00031335` Chr`7` : `94,053,290`	0.001	0.999	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.001	0.999	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.001	0.999	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.001	0.999	0.000
rs183747217 lBF = `0.00030401` Chr`7` : `151,740,811`	0.001	0.999	0.000
rs6951258 lBF = `0.00007721` Chr`7` : `37,757,556`	0.001	0.999	0.000
rs430 lBF = `-0.00015733` Chr`7` : `19,106,539`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs11770757 lBF = `0.00015366` Chr`7` : `133,747,946`	0.001	0.999	0.000
rs17135437 lBF = `0.00007711` Chr`7` : `101,115,994`	0.001	0.999	0.000
rs190130937 lBF = `0.00002823` Chr`7` : `13,111,178`	0.001	0.999	0.000
rs190817748 lBF = `0.00011677` Chr`7` : `52,139,578`	0.001	0.999	0.000
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rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.000	0.999	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.000	0.999	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.000	0.999	0.000
rs13244903 lBF = `8.31999` Chr`7` : `27,688,911`	0.000	0.999	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.000	0.999	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.000	0.999	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.000	0.999	0.000
rs199347 lBF = `3.57318` Chr`7` : `23,293,746`	0.000	0.999	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	0.999	0.000
rs56232506 lBF = `1.10735` Chr`7` : `47,437,244`	0.000	0.999	0.000
rs3800993 lBF = `0.547779` Chr`7` : `141,801,007`	0.000	0.999	0.000
rs12537284 lBF = `0.43778` Chr`7` : `128,717,906`	0.000	0.999	0.000
rs6951643 lBF = `0.395377` Chr`7` : `126,429,517`	0.000	0.999	0.000
rs11766519 lBF = `0.335098` Chr`7` : `57,583,856`	0.000	0.999	0.000
rs3857747 lBF = `0.21683` Chr`7` : `40,361,834`	0.000	0.999	0.000
rs798943 lBF = `0.155901` Chr`7` : `120,758,899`	0.000	0.999	0.000
rs2730260 lBF = `0.134731` Chr`7` : `158,846,929`	0.000	0.999	0.000
rs801193 lBF = `0.118237` Chr`7` : `66,030,612`	0.000	0.999	0.000
rs60464047 lBF = `0.113646` Chr`7` : `39,418,538`	0.000	0.999	0.000
rs3757840 lBF = `0.10859` Chr`7` : `44,231,216`	0.000	0.999	0.000
rs6952407 lBF = `0.102218` Chr`7` : `66,045,512`	0.000	0.999	0.000
rs2074114 lBF = `0.0738924` Chr`7` : `111,451,659`	0.000	0.999	0.000
rs550448 lBF = `0.0595546` Chr`7` : `28,229,042`	0.000	0.999	0.000
rs198712 lBF = `0.0450133` Chr`7` : `24,181,055`	0.000	0.999	0.000
rs116979167 lBF = `0.0384182` Chr`7` : `105,222,451`	0.000	0.999	0.000
rs10263935 lBF = `0.0356639` Chr`7` : `66,096,028`	0.000	0.999	0.000
rs10953454 lBF = `0.0295221` Chr`7` : `104,503,813`	0.000	0.999	0.000
rs1509911 lBF = `0.0294952` Chr`7` : `80,805,175`	0.000	0.999	0.000
rs17711722 lBF = `0.0241998` Chr`7` : `65,271,197`	0.000	0.999	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	0.999	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	0.999	0.000
rs12670798 lBF = `-0.0225138` Chr`7` : `21,607,352`	0.000	0.999	0.000
rs6947471 lBF = `-0.0297148` Chr`7` : `154,381,475`	0.000	0.999	0.000
rs1127065 lBF = `-0.036041` Chr`7` : `44,259,871`	0.000	0.999	0.000
rs12701220 lBF = `-0.0366596` Chr`7` : `1,022,728`	0.000	0.999	0.000
rs4720952 lBF = `-0.0385969` Chr`7` : `11,291,400`	0.000	0.999	0.000
rs6459680 lBF = `-0.0412285` Chr`7` : `156,258,568`	0.000	0.999	0.000
rs4148689 lBF = `-0.0473211` Chr`7` : `117,143,602`	0.000	0.999	0.000
rs6583437 lBF = `-0.0504736` Chr`7` : `50,350,267`	0.000	0.999	0.000
rs2715148 lBF = `-0.0549931` Chr`7` : `82,450,035`	0.000	0.999	0.000
rs2189246 lBF = `-0.0621952` Chr`7` : `82,444,372`	0.000	0.999	0.000
rs1371737 lBF = `-0.0633101` Chr`7` : `9,189,541`	0.000	0.999	0.000
rs12540771 lBF = `-0.0707339` Chr`7` : `76,762,951`	0.000	0.999	0.000
rs10232860 lBF = `-0.0728757` Chr`7` : `48,907,718`	0.000	0.999	0.000
rs17765925 lBF = `-0.0737005` Chr`7` : `14,281,910`	0.000	0.999	0.000
rs12668848 lBF = `-0.07471` Chr`7` : `2,020,995`	0.000	0.999	0.000
rs13240464 lBF = `-0.0787246` Chr`7` : `110,898,915`	0.000	0.999	0.000
rs4731889 lBF = `-0.0809112` Chr`7` : `132,325,309`	0.000	0.999	0.000
rs7807268 lBF = `-0.0811741` Chr`7` : `148,258,048`	0.000	0.999	0.000
rs12538804 lBF = `-0.0842521` Chr`7` : `7,693,919`	0.000	0.999	0.000
rs10237067 lBF = `-0.0848729` Chr`7` : `68,326,660`	0.000	0.999	0.000
rs6950451 lBF = `-0.0861299` Chr`7` : `22,919,808`	0.000	0.999	0.000
rs156299 lBF = `-0.1041` Chr`7` : `24,224,732`	0.000	0.999	0.000
rs4148805 lBF = `18.9159` Chr`7` : `87,106,365`	0.000	0.999	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.000	0.999	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.000	0.999	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.000	0.999	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.000	0.999	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.999	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.000	0.999	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.000	0.999	0.000
rs1404278 lBF = `8.61678` Chr`7` : `27,634,726`	0.000	0.999	0.000
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.000	0.999	0.000
rs6465657 lBF = `5.70847` Chr`7` : `97,816,327`	0.000	0.999	0.000
rs318651 lBF = `5.70056` Chr`7` : `34,231,380`	0.000	0.999	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.000	0.999	0.000
rs2158836 lBF = `3.45595` Chr`7` : `107,580,839`	0.000	0.999	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.000	0.999	0.000
rs13232179 lBF = `2.01479` Chr`7` : `151,120,948`	0.000	0.999	0.000
rs17398575 lBF = `1.4379` Chr`7` : `106,409,452`	0.000	0.999	0.000
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.000	0.999	0.000
rs7493 lBF = `0.533844` Chr`7` : `95,034,775`	0.000	0.999	0.000
rs116927879 lBF = `0.32964` Chr`7` : `45,864,727`	0.000	0.999	0.000
rs13239597 lBF = `0.304706` Chr`7` : `128,695,983`	0.000	0.999	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.000	0.999	0.000
rs1524058 lBF = `0.236582` Chr`7` : `38,136,277`	0.000	0.999	0.000
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.000	0.999	0.000
rs13245690 lBF = `0.168715` Chr`7` : `120,785,064`	0.000	0.999	0.000
rs2429582 lBF = `0.150303` Chr`7` : `122,202,593`	0.000	0.999	0.000
rs1949829 lBF = `0.144483` Chr`7` : `51,537,887`	0.000	0.999	0.000
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.000	0.999	0.000
rs56314523 lBF = `0.073521` Chr`7` : `8,158,583`	0.000	0.999	0.000
rs2909678 lBF = `0.070941` Chr`7` : `131,334,001`	0.000	0.999	0.000
rs1014137 lBF = `0.0682659` Chr`7` : `31,623,746`	0.000	0.999	0.000
rs875971 lBF = `0.0644474` Chr`7` : `65,617,595`	0.000	0.999	0.000
rs6969802 lBF = `0.0564197` Chr`7` : `112,649,414`	0.000	0.999	0.000
rs10487245 lBF = `0.0502743` Chr`7` : `93,713,521`	0.000	0.999	0.000
rs7786410 lBF = `0.0478936` Chr`7` : `55,922,323`	0.000	0.999	0.000
rs6963495 lBF = `0.041095` Chr`7` : `105,166,853`	0.000	0.999	0.000
rs11975386 lBF = `0.03953` Chr`7` : `93,705,033`	0.000	0.999	0.000
rs11761231 lBF = `0.0314226` Chr`7` : `131,370,039`	0.000	0.999	0.000
rs7794356 lBF = `0.0289807` Chr`7` : `70,738,729`	0.000	0.999	0.000
rs28581422 lBF = `0.0287139` Chr`7` : `121,258,371`	0.000	0.999	0.000
rs2395022 lBF = `0.0225055` Chr`7` : `98,750,379`	0.000	0.999	0.000
rs17685 lBF = `0.0213159` Chr`7` : `75,616,105`	0.000	0.999	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

0.4802

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3831

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.5984

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5874

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5845

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5808

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5677

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5404

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5140

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5140

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5140

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5139

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5138

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5136

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5136

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5134

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5130

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5129

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5122

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5110

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5107

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5097

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5044

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5031

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4701

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4592

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4521

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4474

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4420

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4324

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4309

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4265

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4226

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3676

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2754

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2606

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2520

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2490

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2178

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2152

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2038

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1914

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1829

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1748

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1681

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1639

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1632

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1381

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1163

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1061

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0759

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0706

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0705

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0550

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0530

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0525

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`)