TreeWAS – [K56.7] Ileus, unspecified

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
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.871	0.129	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.851	0.149	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.843	0.157	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.698	0.302	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.691	0.309	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.603	0.397	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.596	0.404	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.592	0.408	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.529	0.471	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.509	0.490	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.508	0.492	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.503	0.497	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.497	0.503	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.489	0.511	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.487	0.513	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.478	0.521	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.436	0.564	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.405	0.594	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.390	0.610	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.384	0.616	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.371	0.628	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.366	0.634	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.352	0.648	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.332	0.668	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.332	0.668	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.330	0.670	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.330	0.670	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.324	0.676	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.298	0.702	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.293	0.707	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.271	0.729	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.255	0.745	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.246	0.754	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.233	0.767	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.216	0.784	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.209	0.790	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.208	0.791	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.184	0.816	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.178	0.821	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.178	0.822	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.167	0.833	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.160	0.840	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.154	0.846	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.140	0.860	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.137	0.862	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.136	0.863	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.129	0.871	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.122	0.878	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.118	0.882	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.116	0.884	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.112	0.888	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.112	0.888	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.109	0.891	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.106	0.894	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.102	0.897	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.090	0.910	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.085	0.914	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.077	0.923	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.076	0.923	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.067	0.933	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.061	0.939	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.060	0.940	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.056	0.944	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.054	0.946	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.054	0.946	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.054	0.946	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.053	0.947	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.052	0.948	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.048	0.952	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.047	0.953	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.046	0.954	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.043	0.957	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.040	0.960	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.038	0.962	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.038	0.962	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.036	0.963	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.036	0.964	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.034	0.966	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.032	0.967	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.032	0.968	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.031	0.968	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.030	0.970	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.030	0.970	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.030	0.970	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.028	0.971	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.028	0.972	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.027	0.973	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.026	0.973	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.025	0.975	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.022	0.978	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.021	0.979	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.020	0.980	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.020	0.980	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.019	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.018	0.982	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.018	0.982	0.000
rs67077197 lBF = `0.0659904` Chr`7` : `79,812,826`	0.000	0.982	0.018
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.017	0.983	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.016	0.983	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.016	0.983	0.000
rs2909678 lBF = `0.070941` Chr`7` : `131,334,001`	0.016	0.984	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.016	0.984	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.016	0.984	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.015	0.984	0.001
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.015	0.985	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.015	0.985	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.014	0.985	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.013	0.987	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.013	0.987	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.012	0.987	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.012	0.987	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.012	0.988	0.000
rs10241865 lBF = `5.23716` Chr`7` : `102,527,517`	0.012	0.988	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.011	0.989	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.009	0.989	0.002
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.009	0.991	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.009	0.991	0.000
rs11562045 lBF = `5.52176` Chr`7` : `134,592,554`	0.009	0.991	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.009	0.991	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.008	0.992	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.008	0.992	0.000
rs2190016 lBF = `0.274511` Chr`7` : `46,944,807`	0.000	0.992	0.008
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.007	0.992	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.007	0.993	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.007	0.993	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.007	0.993	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.006	0.994	0.000
rs11185602 lBF = `-0.0483176` Chr`7` : `50,299,077`	0.006	0.994	0.000
rs12386622 lBF = `0.336089` Chr`7` : `131,853,601`	0.000	0.994	0.006
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.006	0.994	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.005	0.994	0.000
rs1456896 lBF = `3.47735` Chr`7` : `50,304,461`	0.006	0.994	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.000	0.994	0.006
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.005	0.995	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.005	0.995	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.005	0.995	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.005	0.995	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.005	0.995	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.005	0.995	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.005	0.995	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.005	0.995	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.005	0.995	0.000
rs11185603 lBF = `-0.0567723` Chr`7` : `50,306,810`	0.005	0.995	0.000
rs4917014 lBF = `-0.0588672` Chr`7` : `50,305,863`	0.005	0.995	0.000
rs1456893 lBF = `2.89797` Chr`7` : `50,269,672`	0.005	0.995	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.004	0.995	0.000
rs10276619 lBF = `8.37995` Chr`7` : `50,313,352`	0.000	0.996	0.004
rs6946969 lBF = `-0.0648806` Chr`7` : `70,211,027`	0.000	0.996	0.004
rs6943555 lBF = `0.36036` Chr`7` : `69,806,023`	0.004	0.996	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.004	0.996	0.000
rs1830074 lBF = `0.232354` Chr`7` : `6,718,674`	0.004	0.996	0.000
rs7785360 lBF = `-0.0195587` Chr`7` : `69,409,378`	0.004	0.996	0.000
rs12702661 lBF = `-0.0320217` Chr`7` : `7,864,751`	0.000	0.996	0.004
rs3972456 lBF = `7.89544` Chr`7` : `102,436,907`	0.004	0.996	0.000
rs847649 lBF = `3.41361` Chr`7` : `102,556,011`	0.004	0.996	0.000
rs6973742 lBF = `-0.00312223` Chr`7` : `26,151,190`	0.000	0.996	0.004
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.003	0.996	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.003	0.997	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.003	0.997	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.003	0.997	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.003	0.997	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.003	0.997	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.003	0.997	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.003	0.997	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.003	0.997	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.003	0.997	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.003	0.997	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.002	0.997	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.003	0.997	0.000
rs798336 lBF = `-0.0612284` Chr`7` : `77,914,343`	0.000	0.997	0.003
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.003	0.997	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.002	0.997	0.000
rs848490 lBF = `0.0761338` Chr`7` : `77,555,005`	0.003	0.997	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.002	0.998	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.002	0.998	0.000
rs17137412 lBF = `-0.0369901` Chr`7` : `7,800,687`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.000	0.998	0.002
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.001
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.002	0.998	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.002	0.998	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.002	0.998	0.000
rs2106595 lBF = `-0.0883647` Chr`7` : `118,159,549`	0.002	0.998	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.002	0.998	0.000
rs1541519 lBF = `8.50534` Chr`7` : `102,466,741`	0.002	0.998	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.002	0.998	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.002	0.998	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.002	0.998	0.000
rs11977526 lBF = `0.0414996` Chr`7` : `46,008,110`	0.000	0.998	0.002
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.002	0.998	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs4721377 lBF = `-0.0389652` Chr`7` : `14,855,062`	0.000	0.998	0.002
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.002	0.998	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.000	0.998	0.002
rs262147 lBF = `0.0594047` Chr`7` : `158,745,142`	0.000	0.998	0.002
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.998	0.002
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.002	0.998	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.002	0.998	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.001	0.998	0.001
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rs1007358 lBF = `-0.0221551` Chr`7` : `46,201,355`	0.000	0.999	0.001
rs6942756 lBF = `0.219701` Chr`7` : `128,886,821`	0.000	0.999	0.001
rs2110001 lBF = `0.0503328` Chr`7` : `150,517,022`	0.001	0.999	0.000
rs11574703 lBF = `0.0394684` Chr`7` : `80,286,908`	0.000	0.999	0.001
rs3779195 lBF = `-0.0196346` Chr`7` : `97,993,362`	0.000	0.999	0.001
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.001	0.999	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.001	0.999	0.000
rs7799006 lBF = `0.0254149` Chr`7` : `2,278,226`	0.000	0.999	0.001
rs17347800 lBF = `0.0181544` Chr`7` : `18,517,279`	0.001	0.999	0.000
rs7780001 lBF = `0.00047015` Chr`7` : `19,477,981`	0.000	0.999	0.001
rs1229542 lBF = `-0.00648148` Chr`7` : `97,422,926`	0.001	0.999	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.000	0.999	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.000	0.999	0.000
rs875971 lBF = `0.0644474` Chr`7` : `65,617,595`	0.001	0.999	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	0.999	0.000
rs12531540 lBF = `6.64723` Chr`7` : `28,162,674`	0.001	0.999	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.000	0.999	0.000
rs12707249 lBF = `0.0725718` Chr`7` : `135,479,573`	0.000	0.999	0.001
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	0.999	0.000
rs7801581 lBF = `-0.0166717` Chr`7` : `27,223,771`	0.001	0.999	0.000
rs38664 lBF = `-0.0248127` Chr`7` : `76,390,970`	0.000	0.999	0.001
rs6463094 lBF = `-0.0736219` Chr`7` : `42,281,481`	0.001	0.999	0.000
rs849135 lBF = `12.0155` Chr`7` : `28,196,413`	0.001	0.999	0.000
rs60464047 lBF = `0.113646` Chr`7` : `39,418,538`	0.001	0.999	0.000
rs17172185 lBF = `0.0547141` Chr`7` : `43,286,839`	0.000	0.999	0.001
rs17154917 lBF = `0.0351242` Chr`7` : `80,836,709`	0.001	0.999	0.000
rs7802124 lBF = `-0.0206618` Chr`7` : `116,205,914`	0.001	0.999	0.000
rs4236420 lBF = `-0.0249058` Chr`7` : `9,688,109`	0.001	0.999	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.000	0.999	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	0.999	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.000	0.999	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.000	0.999	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.000	0.999	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	0.999	0.000
rs740145 lBF = `0.0183006` Chr`7` : `29,921,524`	0.000	0.999	0.000
rs740160 lBF = `0.00936833` Chr`7` : `98,957,880`	0.000	0.999	0.001
rs848452 lBF = `-0.00687823` Chr`7` : `77,596,812`	0.000	0.999	0.000
rs11771429 lBF = `-0.0353625` Chr`7` : `153,271,877`	0.000	0.999	0.001
rs4720750 lBF = `-0.0681956` Chr`7` : `7,705,275`	0.000	0.999	0.001
rs849142 lBF = `10.781` Chr`7` : `28,185,891`	0.001	0.999	0.000
rs60580184 lBF = `0.912577` Chr`7` : `138,850,967`	0.000	0.999	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.000	0.999	0.000
rs6956740 lBF = `-0.00046026` Chr`7` : `45,903,807`	0.000	0.999	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	0.999	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	0.999	0.000
rs10270805 lBF = `-0.0084613` Chr`7` : `16,500,142`	0.001	0.999	0.000
rs59406683 lBF = `-0.0148047` Chr`7` : `109,782,571`	0.001	0.999	0.000
rs11763760 lBF = `-0.0362019` Chr`7` : `23,480,467`	0.001	0.999	0.000
rs6975557 lBF = `-0.049338` Chr`7` : `107,973,297`	0.000	0.999	0.001
rs7800244 lBF = `-0.0722923` Chr`7` : `47,779,969`	0.000	0.999	0.001
rs77375314 lBF = `6.86127` Chr`7` : `136,121,062`	0.000	0.999	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	0.999	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	0.999	0.000
rs73712171 lBF = `-0.0254741` Chr`7` : `101,129,765`	0.000	0.999	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	0.999	0.000
rs1722229 lBF = `-0.0264214` Chr`7` : `101,286,177`	0.000	0.999	0.000
rs4722750 lBF = `-0.0355172` Chr`7` : `28,004,198`	0.000	0.999	0.000
rs12531488 lBF = `-0.0477454` Chr`7` : `144,892,086`	0.000	0.999	0.001
rs6972204 lBF = `-0.05031` Chr`7` : `2,582,452`	0.000	0.999	0.001
rs7781977 lBF = `-0.0523482` Chr`7` : `50,346,134`	0.001	0.999	0.000
rs4073894 lBF = `3.46096` Chr`7` : `104,466,964`	0.000	0.999	0.000
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.000	0.999	0.000
rs1636744 lBF = `0.209488` Chr`7` : `16,984,280`	0.000	0.999	0.001
rs17312438 lBF = `0.0542043` Chr`7` : `85,566,476`	0.000	0.999	0.000
rs1918526 lBF = `0.00242736` Chr`7` : `115,138,008`	0.000	0.999	0.000
rs3812316 lBF = `-0.00336436` Chr`7` : `73,020,337`	0.000	0.999	0.000
rs17712049 lBF = `-0.0156929` Chr`7` : `48,266,195`	0.000	0.999	0.000
rs1668357 lBF = `-0.0371005` Chr`7` : `38,004,406`	0.000	0.999	0.000
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.000	0.999	0.000
rs4302748 lBF = `-0.0759062` Chr`7` : `36,191,699`	0.000	0.999	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.000	1.000	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.000	1.000	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.000	1.000	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.000	1.000	0.000
rs7493 lBF = `0.533844` Chr`7` : `95,034,775`	0.000	1.000	0.000
rs12537284 lBF = `0.43778` Chr`7` : `128,717,906`	0.000	1.000	0.000
rs17135875 lBF = `0.274258` Chr`7` : `102,519,031`	0.000	1.000	0.000
rs76720445 lBF = `0.260868` Chr`7` : `1,792,396`	0.000	1.000	0.000
rs3857747 lBF = `0.21683` Chr`7` : `40,361,834`	0.000	1.000	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	1.000	0.000
rs7788657 lBF = `-0.0132731` Chr`7` : `13,922,141`	0.000	1.000	0.000
rs7795541 lBF = `-0.0399887` Chr`7` : `24,085,854`	0.000	1.000	0.000
rs1005390 lBF = `-0.0832441` Chr`7` : `150,543,721`	0.000	1.000	0.000
rs10226084 lBF = `-0.0912986` Chr`7` : `17,997,612`	0.000	1.000	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.000	1.000	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.000	1.000	0.000
rs864745 lBF = `10.5901` Chr`7` : `28,180,556`	0.000	1.000	0.000
rs4728142 lBF = `0.523948` Chr`7` : `128,573,967`	0.000	1.000	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	1.000	0.000
rs13237474 lBF = `0.0196952` Chr`7` : `135,501,469`	0.000	1.000	0.000
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.000	1.000	0.000
rs9918508 lBF = `-0.0119322` Chr`7` : `9,539,279`	0.000	1.000	0.000
rs77689838 lBF = `-0.0247742` Chr`7` : `67,591,039`	0.000	1.000	0.000
rs73691971 lBF = `10.3781` Chr`7` : `38,144,783`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9966

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9955

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9718

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9416

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9362

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9232

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9117

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9097

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8865

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8835

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8566

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8163

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8156

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8109

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7978

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7954

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7787

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7732

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7407

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7152

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7046

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6916

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6539

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6397

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6107

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5937

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5554

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5504

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5307

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4970

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4876

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4753

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4741

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4624

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4615

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4489

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4471

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4323

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4262

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4257

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3907

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3894

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3721

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3550

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3485

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3201

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3026

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2907

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2861

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2594

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2356

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2337

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2194

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2136

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2080

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1939

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1870

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1695

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1647

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1328

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1317

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1019

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0986

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0771

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0708

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0609

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0596

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0578

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0524

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`)