TreeWAS – [K27.3] Acute without haemorrhage or 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
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.538	0.462	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.530	0.469	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.526	0.474	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.526	0.474	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.522	0.478	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.513	0.487	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.508	0.492	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.504	0.496	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.499	0.501	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.496	0.503	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.486	0.514	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.484	0.516	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.479	0.520	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.473	0.527	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.453	0.546	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.451	0.549	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.440	0.560	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.429	0.570	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.422	0.577	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.398	0.602	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.384	0.616	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.332	0.667	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.322	0.677	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.298	0.702	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.293	0.707	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.271	0.729	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.255	0.745	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.222	0.778	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.216	0.784	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.213	0.787	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.210	0.789	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.198	0.802	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.188	0.812	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.185	0.814	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`	0.176	0.823	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.163	0.836	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.158	0.842	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.153	0.847	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.144	0.856	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.129	0.870	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.129	0.870	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.128	0.872	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.128	0.872	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.125	0.875	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.119	0.881	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.115	0.885	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.105	0.895	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.101	0.899	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.082	0.917	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.071	0.929	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.066	0.933	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.065	0.935	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.063	0.937	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.062	0.938	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.050	0.950	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.049	0.950	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.049	0.950	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.045	0.954	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.045	0.955	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.043	0.957	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.042	0.957	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.040	0.960	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.040	0.960	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.039	0.961	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.035	0.965	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.034	0.966	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.033	0.966	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.033	0.967	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.031	0.968	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.031	0.969	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.031	0.969	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.031	0.969	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.030	0.970	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	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`	0.028	0.972	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.027	0.973	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.026	0.974	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`	0.025	0.975	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.025	0.975	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	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`	0.021	0.979	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
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.014	0.985	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.014	0.986	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.014	0.986	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.013	0.986	0.000
rs157935 lBF = `14.4252` Chr`7` : `130,585,553`	0.013	0.987	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`	0.013	0.987	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.012	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	0.987	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.988	0.012
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
rs157934 lBF = `14.527` Chr`7` : `130,585,492`	0.010	0.990	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.009	0.990	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.009	0.990	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.009	0.991	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.008	0.991	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.008	0.992	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.992	0.007
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.007	0.993	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.007	0.993	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.007	0.993	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.007	0.993	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.007	0.993	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	0.993	0.007
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.006	0.993	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.006	0.993	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.006	0.994	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.006	0.994	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	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
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.006	0.994	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.994	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.994	0.006
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.006	0.994	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.005	0.994	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.005	0.994	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.005	0.995	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.005	0.995	0.000
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.005	0.995	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.005	0.995	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.005	0.995	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.004	0.996	0.000
rs9768139 lBF = `0.137886` Chr`7` : `158,120,731`	0.004	0.996	0.000
rs114945094 lBF = `-0.00580405` Chr`7` : `12,193,432`	0.000	0.996	0.004
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	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
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.004	0.996	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.996	0.000
rs148982377 lBF = `0.398419` Chr`7` : `99,075,038`	0.000	0.996	0.003
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.996	0.003
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.996	0.003
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.003	0.996	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.003	0.996	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.003	0.997	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.003	0.997	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.003	0.997	0.000
rs73099645 lBF = `0.213252` Chr`7` : `43,226,641`	0.000	0.997	0.003
rs1595014 lBF = `-0.0588072` Chr`7` : `12,188,529`	0.000	0.997	0.003
rs17428471 lBF = `6.65533` Chr`7` : `27,337,867`	0.003	0.997	0.000
rs10429035 lBF = `-0.0416416` Chr`7` : `96,119,481`	0.000	0.997	0.003
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
rs729302 lBF = `0.0958074` Chr`7` : `128,568,960`	0.003	0.997	0.000
rs262147 lBF = `0.0594047` Chr`7` : `158,745,142`	0.003	0.997	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.002	0.997	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	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
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
rs797820 lBF = `-0.0199049` Chr`7` : `83,609,039`	0.000	0.998	0.002
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.002	0.998	0.000
rs6464772 lBF = `0.0773307` Chr`7` : `140,135,035`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.002	0.998	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.002	0.998	0.000
rs2049622 lBF = `-0.0796926` Chr`7` : `42,176,282`	0.000	0.998	0.002
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	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
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.002	0.998	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.002	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	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
rs10237317 lBF = `0.569311` Chr`7` : `70,045,941`	0.000	0.998	0.001
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	0.998	0.001
rs4909189 lBF = `0.230669` Chr`7` : `158,136,986`	0.000	0.998	0.001
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	0.998	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.001	0.999	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.001	0.999	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.001	0.999	0.000
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.999	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.001	0.999	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.001	0.999	0.000
rs3757840 lBF = `0.10859` Chr`7` : `44,231,216`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs878521 lBF = `-0.0923186` Chr`7` : `44,255,643`	0.000	0.999	0.001
rs2097677 lBF = `0.0168105` Chr`7` : `22,732,839`	0.000	0.999	0.001
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	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
rs7782993 lBF = `-0.0581707` Chr`7` : `7,312,735`	0.001	0.999	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.001	0.999	0.000
rs1358075 lBF = `0.00040226` Chr`7` : `146,135,938`	0.001	0.999	0.000
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rs2398668 lBF = `-0.00245334` Chr`7` : `2,298,227`	0.000	0.999	0.000
rs3779195 lBF = `-0.0196346` Chr`7` : `97,993,362`	0.000	0.999	0.000
rs17158930 lBF = `-0.0391456` Chr`7` : `111,511,138`	0.000	0.999	0.000
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.000	0.999	0.000
rs13240504 lBF = `-0.054625` Chr`7` : `126,089,319`	0.000	0.999	0.000
rs10267417 lBF = `-0.061366` Chr`7` : `19,843,797`	0.000	0.999	0.000
rs2035647 lBF = `-0.0687997` Chr`7` : `137,799,569`	0.000	0.999	0.000
rs2718058 lBF = `-0.0705909` Chr`7` : `37,841,534`	0.000	0.999	0.000
rs854572 lBF = `-0.0716972` Chr`7` : `94,954,696`	0.000	0.999	0.000
rs7807268 lBF = `-0.0811741` Chr`7` : `148,258,048`	0.000	0.999	0.000
rs7804356 lBF = `-0.0811836` Chr`7` : `26,891,665`	0.000	0.999	0.000
rs10486483 lBF = `-0.0839667` Chr`7` : `26,892,440`	0.000	0.999	0.000
rs4727751 lBF = `-0.0861539` Chr`7` : `78,336,934`	0.000	0.999	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.000	0.999	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.000	0.999	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.000	0.999	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.000	0.999	0.000
rs2707466 lBF = `6.3523` Chr`7` : `120,979,089`	0.000	0.999	0.000
rs38904 lBF = `2.29737` Chr`7` : `116,892,846`	0.000	0.999	0.000
rs10250997 lBF = `1.92169` Chr`7` : `136,146,536`	0.000	0.999	0.000
rs972283 lBF = `1.51223` Chr`7` : `130,466,854`	0.000	0.999	0.000
rs2538470 lBF = `0.343746` Chr`7` : `148,220,448`	0.000	0.999	0.000
rs12668095 lBF = `0.132447` Chr`7` : `47,075,776`	0.000	0.999	0.000
rs12707249 lBF = `0.0725718` Chr`7` : `135,479,573`	0.000	0.999	0.000
rs4236601 lBF = `0.0301039` Chr`7` : `116,162,729`	0.000	0.999	0.000
rs6978230 lBF = `-0.00355241` Chr`7` : `137,529,578`	0.000	0.999	0.000
rs11766496 lBF = `-0.0192091` Chr`7` : `71,388,850`	0.000	0.999	0.000
rs1722229 lBF = `-0.0264214` Chr`7` : `101,286,177`	0.000	0.999	0.000
rs3807989 lBF = `-0.0351912` Chr`7` : `116,186,241`	0.000	0.999	0.000
rs740083 lBF = `-0.0462659` Chr`7` : `49,469,003`	0.000	0.999	0.000
rs12702087 lBF = `-0.0515051` Chr`7` : `44,812,607`	0.000	0.999	0.000
rs62481355 lBF = `-0.101594` Chr`7` : `127,201,664`	0.000	0.999	0.000
rs2024125 lBF = `-0.104421` Chr`7` : `43,158,477`	0.000	0.999	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	0.999	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.000	0.999	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.000	0.999	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	0.999	0.000
rs368331 lBF = `1.10684` Chr`7` : `21,742,974`	0.000	0.999	0.000
rs12668467 lBF = `1.07467` Chr`7` : `13,632,228`	0.000	0.999	0.000
rs13245690 lBF = `0.168715` Chr`7` : `120,785,064`	0.000	0.999	0.000
rs10243024 lBF = `0.0411072` Chr`7` : `116,346,603`	0.000	0.999	0.000
rs10258482 lBF = `0.0345044` Chr`7` : `116,150,095`	0.000	0.999	0.000
rs2709505 lBF = `0.0314898` Chr`7` : `114,596,841`	0.000	0.999	0.000
rs9648428 lBF = `0.00813016` Chr`7` : `36,211,749`	0.000	0.999	0.000
rs11773845 lBF = `-0.0374816` Chr`7` : `116,191,301`	0.000	0.999	0.000
rs35493220 lBF = `-0.0428689` Chr`7` : `51,704,391`	0.000	0.999	0.000
rs6946494 lBF = `-0.0602033` Chr`7` : `135,488,621`	0.000	0.999	0.000
rs3757837 lBF = `-0.0605403` Chr`7` : `44,276,651`	0.000	0.999	0.000
rs6966038 lBF = `-0.0612437` Chr`7` : `156,880,398`	0.000	0.999	0.000
rs1077773 lBF = `-0.069177` Chr`7` : `17,442,679`	0.000	0.999	0.000
rs7458938 lBF = `-0.072353` Chr`7` : `125,460,648`	0.000	0.999	0.000
rs10253361 lBF = `-0.0758058` Chr`7` : `121,275,229`	0.000	0.999	0.000
rs6954895 lBF = `-0.0847242` Chr`7` : `35,586,206`	0.000	0.999	0.000
rs10237067 lBF = `-0.0848729` Chr`7` : `68,326,660`	0.000	0.999	0.000
rs7786808 lBF = `-0.0856442` Chr`7` : `158,223,106`	0.000	0.999	0.000
rs1852612 lBF = `-0.103036` Chr`7` : `45,400,895`	0.000	0.999	0.000
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.000	0.999	0.000
rs45554032 lBF = `17.3797` Chr`7` : `87,078,547`	0.000	0.999	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.000	0.999	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.000	0.999	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.000	0.999	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.000	0.999	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.000	0.999	0.000
rs77375314 lBF = `6.86127` Chr`7` : `136,121,062`	0.000	0.999	0.000
rs6972703 lBF = `5.92331` Chr`7` : `9,767,882`	0.000	0.999	0.000
rs10241865 lBF = `5.23716` Chr`7` : `102,527,517`	0.000	0.999	0.000
rs13241538 lBF = `2.58054` Chr`7` : `130,439,862`	0.000	0.999	0.000
rs13310130 lBF = `1.66235` Chr`7` : `96,346,088`	0.000	0.999	0.000
rs10254284 lBF = `0.461934` Chr`7` : `28,167,391`	0.000	0.999	0.000
rs6942756 lBF = `0.219701` Chr`7` : `128,886,821`	0.000	0.999	0.000
rs798943 lBF = `0.155901` Chr`7` : `120,758,899`	0.000	0.999	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.000	0.999	0.000
rs10232457 lBF = `0.0730248` Chr`7` : `87,462,515`	0.000	0.999	0.000
rs1014137 lBF = `0.0682659` Chr`7` : `31,623,746`	0.000	0.999	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	0.999	0.000
rs13245023 lBF = `0.0549758` Chr`7` : `20,885,095`	0.000	0.999	0.000
rs7799006 lBF = `0.0254149` Chr`7` : `2,278,226`	0.000	0.999	0.000
rs17169807 lBF = `0.0234637` Chr`7` : `33,181,238`	0.000	0.999	0.000
rs2395022 lBF = `0.0225055` Chr`7` : `98,750,379`	0.000	0.999	0.000
rs7809799 lBF = `0.0181533` Chr`7` : `98,760,504`	0.000	0.999	0.000
rs11979476 lBF = `0.00902874` Chr`7` : `128,993,756`	0.000	0.999	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	0.999	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.000	0.999	0.000
rs12669789 lBF = `-0.0241738` Chr`7` : `18,734,065`	0.000	0.999	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	0.999	0.000
rs11525066 lBF = `-0.0347596` Chr`7` : `78,175,977`	0.000	0.999	0.000
rs13438327 lBF = `-0.0377185` Chr`7` : `97,620,691`	0.000	0.999	0.000
rs258671 lBF = `-0.044834` Chr`7` : `81,731,446`	0.000	0.999	0.000
rs1476442 lBF = `-0.0599809` Chr`7` : `91,272,344`	0.000	0.999	0.000
rs2286503 lBF = `-0.0697153` Chr`7` : `22,856,606`	0.000	0.999	0.000
rs1558477 lBF = `-0.0769948` Chr`7` : `31,155,347`	0.000	0.999	0.000
rs12540205 lBF = `-0.0838213` Chr`7` : `105,310,593`	0.000	0.999	0.000
rs16879765 lBF = `33.0922` Chr`7` : `37,989,095`	0.000	0.999	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.000	0.999	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	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

0.5570

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3898

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6946

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6914

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6899

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6528

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6512

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6305

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6242

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6195

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6193

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6193

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6083

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5811

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5745

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5658

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5562

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5486

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5445

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5375

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5277

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5256

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5093

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5056

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4985

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4914

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4747

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4675

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4549

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4423

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3917

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3884

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3773

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3522

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3479

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3430

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3241

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3095

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3059

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3026

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2833

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2821

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2723

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2569

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2431

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2430

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2381

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2181

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2039

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1563

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1544

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1455

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1418

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1350

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1329

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1226

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1199

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0889

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0768

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0690

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0631

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0606

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0591

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0523

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`)