TreeWAS – [K57.0] Diverticular disease of small intestine with perforation and abscess

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
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.717	0.283	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.691	0.309	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.673	0.326	0.000
rs1541519 lBF = `8.50534` Chr`7` : `102,466,741`	0.597	0.403	0.000
rs3972456 lBF = `7.89544` Chr`7` : `102,436,907`	0.544	0.455	0.000
rs10241865 lBF = `5.23716` Chr`7` : `102,527,517`	0.538	0.462	0.000
rs11562045 lBF = `5.52176` Chr`7` : `134,592,554`	0.000	0.508	0.492
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.488	0.512	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.476	0.524	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.456	0.543	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.400	0.599	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.358	0.642	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.352	0.648	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.346	0.654	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.345	0.655	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.341	0.659	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.337	0.663	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.331	0.669	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.325	0.675	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.312	0.688	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.311	0.689	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.309	0.691	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.295	0.705	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.291	0.709	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.289	0.711	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.288	0.712	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.276	0.724	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.248	0.751	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.242	0.758	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.221	0.779	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.209	0.790	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.207	0.792	0.000
rs847649 lBF = `3.41361` Chr`7` : `102,556,011`	0.179	0.821	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.178	0.822	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.174	0.825	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.174	0.826	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.170	0.830	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.148	0.852	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.148	0.852	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.145	0.855	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.143	0.856	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.138	0.862	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.136	0.863	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.136	0.864	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.114	0.886	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.113	0.887	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.106	0.894	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.098	0.902	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.095	0.905	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.095	0.905	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.086	0.914	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.083	0.917	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.076	0.923	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.066	0.933	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.057	0.943	0.000
rs17135875 lBF = `0.274258` Chr`7` : `102,519,031`	0.057	0.943	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.055	0.945	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.049	0.950	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.049	0.951	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.043	0.957	0.000
rs36109662 lBF = `-0.0222975` Chr`7` : `104,083,702`	0.042	0.958	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.041	0.958	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.040	0.960	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.038	0.962	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.037	0.963	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.036	0.963	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.036	0.964	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.035	0.965	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.034	0.965	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.034	0.966	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.034	0.966	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.034	0.966	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.031	0.969	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.028	0.972	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.028	0.972	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.027	0.973	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.026	0.973	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.026	0.974	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.024	0.976	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.980	0.020
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.020	0.980	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.018	0.981	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.018	0.982	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.018	0.982	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.018	0.982	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.017	0.983	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.017	0.983	0.001
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.017	0.983	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.017	0.983	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.016	0.983	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.016	0.983	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.016	0.984	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.015	0.985	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.014	0.986	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.014	0.986	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.014	0.986	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.014	0.986	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.013	0.987	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.013	0.987	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.013	0.987	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.012	0.987	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.012	0.988	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.012	0.988	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.012	0.988	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.011	0.989	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.011	0.989	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.011	0.989	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.011	0.989	0.000
rs67077197 lBF = `0.0659904` Chr`7` : `79,812,826`	0.000	0.989	0.010
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.010	0.989	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.010	0.989	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.010	0.990	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.010	0.990	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.009	0.991	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.008	0.991	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.008	0.991	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.008	0.992	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.008	0.992	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.007	0.992	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.007	0.993	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.007	0.993	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.007	0.993	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.007	0.993	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.007	0.993	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.007	0.993	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.007	0.993	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.006	0.993	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.006	0.994	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.994	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.994	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.006	0.994	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.005	0.994	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.005	0.995	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.005	0.995	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.004	0.995	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.004	0.996	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.004	0.996	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.004	0.996	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.003	0.996	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.003	0.996	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.003	0.997	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.003	0.997	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.003	0.997	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.003	0.997	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.003	0.997	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.997	0.003
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.003	0.997	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.003	0.997	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.003	0.997	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.002	0.997	0.000
rs2024125 lBF = `-0.104421` Chr`7` : `43,158,477`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.002	0.998	0.000
rs4729260 lBF = `0.249851` Chr`7` : `96,117,918`	0.000	0.998	0.002
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.002	0.998	0.000
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.002	0.998	0.000
rs7781370 lBF = `0.165135` Chr`7` : `96,133,531`	0.000	0.998	0.002
rs4725982 lBF = `0.0676917` Chr`7` : `150,637,863`	0.002	0.998	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.002	0.998	0.000
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.002	0.998	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.000	0.998	0.002
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.002	0.998	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.002	0.998	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.002	0.998	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.002	0.998	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.001	0.998	0.001
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.002	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.002	0.998	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.002	0.998	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.002	0.998	0.000
rs4727338 lBF = `0.165558` Chr`7` : `96,120,675`	0.000	0.998	0.002
rs12540205 lBF = `-0.0838213` Chr`7` : `105,310,593`	0.002	0.998	0.000
rs3807375 lBF = `0.127686` Chr`7` : `150,667,210`	0.002	0.998	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.002	0.998	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.001	0.998	0.000
rs7807441 lBF = `-0.0858835` Chr`7` : `67,188,788`	0.001	0.998	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.001	0.998	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.001	0.998	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.001	0.998	0.000
rs10273639 lBF = `-0.0754004` Chr`7` : `142,456,928`	0.000	0.998	0.001
rs76027228 lBF = `5.06956` Chr`7` : `73,422,593`	0.000	0.999	0.001
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.001	0.999	0.001
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.001	0.999	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.001	0.999	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.001	0.999	0.000
rs13310130 lBF = `1.66235` Chr`7` : `96,346,088`	0.001	0.999	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.001	0.999	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.001	0.999	0.000
rs13231718 lBF = `-0.0309848` Chr`7` : `95,600,368`	0.000	0.999	0.001
rs11983798 lBF = `0.408875` Chr`7` : `105,281,188`	0.000	0.999	0.001
rs4727963 lBF = `-0.0484868` Chr`7` : `122,759,980`	0.001	0.999	0.000
rs10250997 lBF = `1.92169` Chr`7` : `136,146,536`	0.001	0.999	0.000
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.001	0.999	0.000
rs7781266 lBF = `-0.00293317` Chr`7` : `133,505,101`	0.001	0.999	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.001	0.999	0.000
rs7795747 lBF = `0.00038589` Chr`7` : `150,361,718`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.001	0.999	0.000
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rs10949808 lBF = `-0.0664367` Chr`7` : `156,048,649`	0.000	1.000	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.000	1.000	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.000	1.000	0.000
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.000	1.000	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.000	1.000	0.000
rs2072413 lBF = `1.81325` Chr`7` : `150,647,969`	0.000	1.000	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.000	1.000	0.000
rs7636 lBF = `0.0752719` Chr`7` : `100,490,077`	0.000	1.000	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	1.000	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	1.000	0.000
rs7777593 lBF = `0.0174175` Chr`7` : `36,546,069`	0.000	1.000	0.000
rs11767400 lBF = `0.00666734` Chr`7` : `122,160,742`	0.000	1.000	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	1.000	0.000
rs7801581 lBF = `-0.0166717` Chr`7` : `27,223,771`	0.000	1.000	0.000
rs17807185 lBF = `-0.028973` Chr`7` : `77,308,295`	0.000	1.000	0.000
rs2721800 lBF = `-0.0380535` Chr`7` : `24,692,552`	0.000	1.000	0.000
rs6946969 lBF = `-0.0648806` Chr`7` : `70,211,027`	0.000	1.000	0.000
rs4236274 lBF = `-0.0961941` Chr`7` : `1,896,413`	0.000	1.000	0.000
rs886716 lBF = `-0.111139` Chr`7` : `26,557,618`	0.000	1.000	0.000
rs34044649 lBF = `-0.124815` Chr`7` : `155,655,693`	0.000	1.000	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.000	1.000	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.000	1.000	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.000	1.000	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.000	1.000	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.000	1.000	0.000
rs13245899 lBF = `1.31003` Chr`7` : `100,497,131`	0.000	1.000	0.000
rs6945071 lBF = `0.245762` Chr`7` : `26,122,423`	0.000	1.000	0.000
rs79489058 lBF = `0.0657504` Chr`7` : `29,456,280`	0.000	1.000	0.000
rs6462411 lBF = `0.00992516` Chr`7` : `3,915,564`	0.000	1.000	0.000
rs114945094 lBF = `-0.00580405` Chr`7` : `12,193,432`	0.000	1.000	0.000
rs7798970 lBF = `-0.0434812` Chr`7` : `89,636,224`	0.000	1.000	0.000
rs1182188 lBF = `-0.0486813` Chr`7` : `2,869,985`	0.000	1.000	0.000
rs71520386 lBF = `-0.0565581` Chr`7` : `22,853,521`	0.000	1.000	0.000
rs7800944 lBF = `-0.0603657` Chr`7` : `73,035,857`	0.000	1.000	0.000
rs12668848 lBF = `-0.07471` Chr`7` : `2,020,995`	0.000	1.000	0.000
rs42648 lBF = `-0.0763256` Chr`7` : `89,977,760`	0.000	1.000	0.000
rs854555 lBF = `-0.0897547` Chr`7` : `94,930,391`	0.000	1.000	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.000	1.000	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.000	1.000	0.000
rs77375314 lBF = `6.86127` Chr`7` : `136,121,062`	0.000	1.000	0.000
rs4598195 lBF = `5.08022` Chr`7` : `107,503,441`	0.000	1.000	0.000
rs336284 lBF = `0.708232` Chr`7` : `35,293,972`	0.000	1.000	0.000
rs10486715 lBF = `0.636577` Chr`7` : `41,478,608`	0.000	1.000	0.000
rs10275272 lBF = `0.602182` Chr`7` : `19,160,897`	0.000	1.000	0.000
rs10952890 lBF = `0.2076` Chr`7` : `86,355,215`	0.000	1.000	0.000
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.000	1.000	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	1.000	0.000
rs10486023 lBF = `0.0535224` Chr`7` : `114,178,653`	0.000	1.000	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	1.000	0.000
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.000	1.000	0.000
rs71574743 lBF = `0.0140309` Chr`7` : `123,044,507`	0.000	1.000	0.000
rs9648428 lBF = `0.00813016` Chr`7` : `36,211,749`	0.000	1.000	0.000
rs6971109 lBF = `0.00451285` Chr`7` : `21,222,790`	0.000	1.000	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	1.000	0.000
rs1229542 lBF = `-0.00648148` Chr`7` : `97,422,926`	0.000	1.000	0.000
rs11971779 lBF = `-0.00693121` Chr`7` : `139,040,258`	0.000	1.000	0.000
rs6952808 lBF = `-0.0428949` Chr`7` : `1,886,535`	0.000	1.000	0.000
rs6967330 lBF = `-0.0499433` Chr`7` : `105,658,451`	0.000	1.000	0.000
rs7802263 lBF = `-0.0509577` Chr`7` : `124,384,327`	0.000	1.000	0.000
rs7800244 lBF = `-0.0722923` Chr`7` : `47,779,969`	0.000	1.000	0.000
rs10486201 lBF = `-0.0802195` Chr`7` : `7,938,596`	0.000	1.000	0.000
rs62441014 lBF = `-0.114454` Chr`7` : `5,533,319`	0.000	1.000	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.000	1.000	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.000	1.000	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.000	1.000	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	1.000	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	1.000	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.000	1.000	0.000
rs2237349 lBF = `0.814075` Chr`7` : `28,762,963`	0.000	1.000	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.000	1.000	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.000	1.000	0.000
rs2299116 lBF = `0.238041` Chr`7` : `28,815,239`	0.000	1.000	0.000
rs1142 lBF = `0.233755` Chr`7` : `104,756,326`	0.000	1.000	0.000
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.000	1.000	0.000
rs4721135 lBF = `0.163969` Chr`7` : `1,912,222`	0.000	1.000	0.000
rs848490 lBF = `0.0761338` Chr`7` : `77,555,005`	0.000	1.000	0.000
rs1122979 lBF = `0.0589636` Chr`7` : `150,915,071`	0.000	1.000	0.000
rs6466055 lBF = `0.0576311` Chr`7` : `104,929,064`	0.000	1.000	0.000
rs117530689 lBF = `0.0449646` Chr`7` : `102,030,935`	0.000	1.000	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	1.000	0.000
rs2097677 lBF = `0.0168105` Chr`7` : `22,732,839`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs1133906 lBF = `-0.0056724` Chr`7` : `92,764,982`	0.000	1.000	0.000
rs6956741 lBF = `-0.0104944` Chr`7` : `112,094,743`	0.000	1.000	0.000
rs6947964 lBF = `-0.0150986` Chr`7` : `10,767,488`	0.000	1.000	0.000
rs146885652 lBF = `-0.0190973` Chr`7` : `136,172,773`	0.000	1.000	0.000
rs11771429 lBF = `-0.0353625` Chr`7` : `153,271,877`	0.000	1.000	0.000
rs7786896 lBF = `-0.036003` Chr`7` : `39,093,928`	0.000	1.000	0.000
rs798502 lBF = `-0.0697442` Chr`7` : `2,789,880`	0.000	1.000	0.000
rs1005390 lBF = `-0.0832441` Chr`7` : `150,543,721`	0.000	1.000	0.000
rs6980334 lBF = `-0.0864846` Chr`7` : `137,788,492`	0.000	1.000	0.000
rs834811 lBF = `-0.101632` Chr`7` : `135,884,571`	0.000	1.000	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.000	1.000	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	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 X0313

log Bayes Factor = 43.6275

contains 4 variants

0.9054

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5722

Cluster X0207

log Bayes Factor = 94.6548

contains 2 variants

0.0555

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8288

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.7549

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7167

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7167

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7132

Cluster X0168

log Bayes Factor = 118.571

contains 7 variants

0.7080

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7059

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6921

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6897

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6802

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6477

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6363

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6001

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5966

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5844

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5834

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5767

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5404

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4434

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4376

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4209

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3968

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3871

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3642

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3633

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3557

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3430

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3263

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3135

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2830

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2805

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2705

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2549

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2530

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2432

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1758

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1680

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1641

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1613

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1599

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1514

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1510

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1489

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1483

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1457

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1444

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1367

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1258

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1227

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1110

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1092

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0997

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0947

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0935

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0851

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0835

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0784

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0766

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0686

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0672

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0611

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0581

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`)