TreeWAS – [Z96.0] Presence of urogenital implants

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
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.917	0.083	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.838	0.162	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.788	0.212	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.775	0.225	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.773	0.227	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.766	0.234	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.758	0.242	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.680	0.320	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.646	0.354	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.643	0.357	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.617	0.383	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.616	0.384	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.605	0.395	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.598	0.402	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.588	0.411	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.584	0.416	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.576	0.424	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.551	0.449	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.547	0.452	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.533	0.467	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.528	0.472	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.527	0.473	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.521	0.479	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.507	0.492	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.506	0.494	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.464	0.536	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.434	0.566	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.433	0.567	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.406	0.594	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.391	0.609	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.329	0.671	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.328	0.672	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.328	0.672	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.327	0.673	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.322	0.678	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.712	0.288
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.276	0.724	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.269	0.731	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.266	0.734	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.253	0.747	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.247	0.752	0.001
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.243	0.757	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.233	0.767	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.230	0.770	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.225	0.775	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.220	0.780	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.218	0.782	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.218	0.782	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.206	0.794	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.194	0.806	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.184	0.816	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.178	0.822	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.175	0.825	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.175	0.825	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.173	0.827	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.161	0.839	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.139	0.861	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.131	0.869	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.130	0.870	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.123	0.877	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.116	0.883	0.001
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.105	0.895	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.102	0.898	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.100	0.900	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.099	0.901	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.098	0.902	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.092	0.908	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.088	0.912	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.088	0.912	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.081	0.919	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.080	0.920	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.073	0.927	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.073	0.927	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.072	0.927	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.063	0.937	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.062	0.938	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.058	0.942	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.046	0.954	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.045	0.954	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.044	0.956	0.001
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.043	0.957	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.042	0.958	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.041	0.958	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.040	0.960	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.037	0.963	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.037	0.963	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.035	0.965	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.034	0.966	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.032	0.968	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.031	0.969	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.031	0.969	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.030	0.970	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.029	0.971	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.027	0.972	0.001
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.027	0.973	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.025	0.975	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.024	0.976	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.023	0.977	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.022	0.978	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.020	0.980	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.019	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.981	0.000
rs10275045 lBF = `-0.0107246` Chr`7` : `1,920,826`	0.017	0.983	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.016	0.984	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.016	0.984	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.015	0.985	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.014	0.985	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.013	0.987	0.000
rs6461049 lBF = `-0.0837111` Chr`7` : `2,017,445`	0.000	0.987	0.013
rs12668848 lBF = `-0.07471` Chr`7` : `2,020,995`	0.013	0.987	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.011	0.988	0.001
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.011	0.989	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.009	0.991	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.009	0.991	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.009	0.991	0.000
rs12704290 lBF = `-0.0382425` Chr`7` : `86,427,626`	0.008	0.992	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.992	0.008
rs7779057 lBF = `0.0998735` Chr`7` : `106,594,885`	0.000	0.992	0.008
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.005	0.992	0.003
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.007	0.993	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.007	0.993	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.007	0.993	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.006	0.993	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.006	0.993	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.006	0.994	0.000
rs116979167 lBF = `0.0384182` Chr`7` : `105,222,451`	0.000	0.994	0.006
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.006	0.994	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.005	0.995	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.004	0.996	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.004	0.996	0.000
rs2108225 lBF = `2.80286` Chr`7` : `107,453,103`	0.004	0.996	0.000
rs1486139 lBF = `-0.109` Chr`7` : `46,275,728`	0.004	0.996	0.000
rs12666575 lBF = `0.0293811` Chr`7` : `2,004,421`	0.004	0.996	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.004	0.996	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.004	0.996	0.000
rs342275 lBF = `0.0056673` Chr`7` : `106,359,216`	0.004	0.996	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.004	0.996	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.004	0.996	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.004	0.996	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.003	0.997	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.003	0.997	0.000
rs2350782 lBF = `0.00738277` Chr`7` : `136,642,634`	0.003	0.997	0.000
rs357394 lBF = `-0.073979` Chr`7` : `138,049,387`	0.000	0.997	0.003
rs342296 lBF = `-0.0427677` Chr`7` : `106,372,903`	0.003	0.997	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.003	0.997	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.002	0.997	0.001
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.003	0.997	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.003	0.997	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.003	0.997	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.003	0.997	0.000
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.003	0.997	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.002	0.998	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.002	0.998	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.002	0.998	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.002	0.998	0.000
rs3815148 lBF = `0.105305` Chr`7` : `106,938,420`	0.000	0.998	0.002
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.002	0.998	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	0.998	0.002
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs4721135 lBF = `0.163969` Chr`7` : `1,912,222`	0.002	0.998	0.000
rs2282930 lBF = `-0.0587657` Chr`7` : `50,754,679`	0.002	0.998	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.002	0.998	0.000
rs2110001 lBF = `0.0503328` Chr`7` : `150,517,022`	0.000	0.998	0.002
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.002
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs342293 lBF = `-0.0152893` Chr`7` : `106,372,219`	0.002	0.998	0.000
rs6963495 lBF = `0.041095` Chr`7` : `105,166,853`	0.000	0.998	0.002
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.002
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.002	0.998	0.000
rs6459804 lBF = `-0.0689723` Chr`7` : `157,510,195`	0.000	0.998	0.002
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.998	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.002	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.001	0.998	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.000	0.998	0.002
rs7798500 lBF = `-0.0244286` Chr`7` : `106,662,083`	0.002	0.998	0.000
rs7787531 lBF = `0.00424964` Chr`7` : `129,023,597`	0.000	0.998	0.002
rs12699683 lBF = `0.00702713` Chr`7` : `15,133,127`	0.002	0.998	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.001	0.999	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.001	0.999	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.000	0.999	0.001
rs1107592 lBF = `-0.0191185` Chr`7` : `2,041,432`	0.001	0.999	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.001	0.999	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.000	0.999	0.001
rs10263087 lBF = `-0.0367014` Chr`7` : `154,970,469`	0.000	0.999	0.001
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs2068399 lBF = `-0.0561701` Chr`7` : `14,228,703`	0.000	0.999	0.001
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.001	0.999	0.000
rs4730250 lBF = `-0.0424327` Chr`7` : `107,207,695`	0.000	0.999	0.001
rs2521634 lBF = `-0.0445843` Chr`7` : `24,378,040`	0.000	0.999	0.001
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rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.000	1.000	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.000	1.000	0.000
rs1869839 lBF = `0.0672718` Chr`7` : `114,357,543`	0.000	1.000	0.000
rs79489058 lBF = `0.0657504` Chr`7` : `29,456,280`	0.000	1.000	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	1.000	0.000
rs6465825 lBF = `0.00170816` Chr`7` : `77,416,439`	0.000	1.000	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	1.000	0.000
rs7808424 lBF = `-0.0323238` Chr`7` : `117,067,822`	0.000	1.000	0.000
rs11771429 lBF = `-0.0353625` Chr`7` : `153,271,877`	0.000	1.000	0.000
rs59072263 lBF = `-0.0733369` Chr`7` : `8,152,067`	0.000	1.000	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.000	1.000	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.000	1.000	0.000
rs17428471 lBF = `6.65533` Chr`7` : `27,337,867`	0.000	1.000	0.000
rs79947808 lBF = `0.102391` Chr`7` : `127,867,455`	0.000	1.000	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	0.000	1.000	0.000
rs848353 lBF = `-0.00466802` Chr`7` : `108,548,660`	0.000	1.000	0.000
rs10260824 lBF = `-0.00715685` Chr`7` : `93,637,625`	0.000	1.000	0.000
rs2530545 lBF = `-0.0195453` Chr`7` : `34,697,140`	0.000	1.000	0.000
rs6968355 lBF = `-0.0415993` Chr`7` : `104,758,250`	0.000	1.000	0.000
rs4723738 lBF = `-0.0443467` Chr`7` : `38,240,908`	0.000	1.000	0.000
rs12531488 lBF = `-0.0477454` Chr`7` : `144,892,086`	0.000	1.000	0.000
rs2718058 lBF = `-0.0705909` Chr`7` : `37,841,534`	0.000	1.000	0.000
rs13240464 lBF = `-0.0787246` Chr`7` : `110,898,915`	0.000	1.000	0.000
rs9656709 lBF = `-0.0898786` Chr`7` : `55,724,445`	0.000	1.000	0.000
rs886774 lBF = `2.9288` Chr`7` : `107,495,434`	0.000	1.000	0.000
rs4909189 lBF = `0.230669` Chr`7` : `158,136,986`	0.000	1.000	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	1.000	0.000
rs7799006 lBF = `0.0254149` Chr`7` : `2,278,226`	0.000	1.000	0.000
rs2073963 lBF = `0.00226982` Chr`7` : `18,877,874`	0.000	1.000	0.000
rs7805053 lBF = `-0.0153429` Chr`7` : `9,723,716`	0.000	1.000	0.000
rs12706411 lBF = `-0.0206784` Chr`7` : `122,065,219`	0.000	1.000	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	1.000	0.000
rs2908197 lBF = `-0.0925697` Chr`7` : `75,937,049`	0.000	1.000	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.000	1.000	0.000
rs60525454 lBF = `0.680418` Chr`7` : `2,652,222`	0.000	1.000	0.000
rs3752645 lBF = `0.424802` Chr`7` : `106,782,683`	0.000	1.000	0.000
rs71534169 lBF = `0.0553682` Chr`7` : `154,592,866`	0.000	1.000	0.000
rs17154917 lBF = `0.0351242` Chr`7` : `80,836,709`	0.000	1.000	0.000
rs117576300 lBF = `0.0302396` Chr`7` : `81,768,172`	0.000	1.000	0.000
rs74446409 lBF = `0.0193721` Chr`7` : `130,396,769`	0.000	1.000	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	1.000	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	1.000	0.000
rs11971779 lBF = `-0.00693121` Chr`7` : `139,040,258`	0.000	1.000	0.000
rs73157010 lBF = `-0.0169849` Chr`7` : `136,396,861`	0.000	1.000	0.000
rs73157032 lBF = `-0.0196123` Chr`7` : `136,428,681`	0.000	1.000	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.000	1.000	0.000
rs1561176 lBF = `-0.0404703` Chr`7` : `155,008,713`	0.000	1.000	0.000
rs1476442 lBF = `-0.0599809` Chr`7` : `91,272,344`	0.000	1.000	0.000
rs73183643 lBF = `10.2453` Chr`7` : `101,418,653`	0.000	1.000	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.000	1.000	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.000	1.000	0.000
rs849141 lBF = `1.31497` Chr`7` : `28,185,091`	0.000	1.000	0.000
rs10261878 lBF = `0.737336` Chr`7` : `25,950,545`	0.000	1.000	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.000	1.000	0.000
rs2285947 lBF = `0.081487` Chr`7` : `21,584,088`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.000	1.000	0.000
rs550448 lBF = `0.0595546` Chr`7` : `28,229,042`	0.000	1.000	0.000
rs73098786 lBF = `0.057661` Chr`7` : `35,022,971`	0.000	1.000	0.000
rs17312438 lBF = `0.0542043` Chr`7` : `85,566,476`	0.000	1.000	0.000
rs12234571 lBF = `0.0402978` Chr`7` : `77,549,906`	0.000	1.000	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	1.000	0.000
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.000	1.000	0.000
rs3735398 lBF = `-0.0270448` Chr`7` : `36,446,121`	0.000	1.000	0.000
rs1127065 lBF = `-0.036041` Chr`7` : `44,259,871`	0.000	1.000	0.000
rs10273775 lBF = `-0.0929336` Chr`7` : `146,897,403`	0.000	1.000	0.000
rs552707 lBF = `2.48304` Chr`7` : `28,205,303`	0.000	1.000	0.000
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.000	1.000	0.000
rs445 lBF = `0.0752584` Chr`7` : `92,408,370`	0.000	1.000	0.000
rs10486023 lBF = `0.0535224` Chr`7` : `114,178,653`	0.000	1.000	0.000
rs60111824 lBF = `0.0462818` Chr`7` : `6,774,135`	0.000	1.000	0.000
rs1404697 lBF = `0.00334884` Chr`7` : `108,544,461`	0.000	1.000	0.000
rs11769293 lBF = `-0.00980119` Chr`7` : `28,911,807`	0.000	1.000	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	1.000	0.000
rs10262537 lBF = `-0.0970143` Chr`7` : `82,115,240`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	1.000	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.000	1.000	0.000
rs4380874 lBF = `5.15013` Chr`7` : `107,480,315`	0.000	1.000	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.000	1.000	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.000	1.000	0.000
rs35681285 lBF = `0.337815` Chr`7` : `16,326,646`	0.000	1.000	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.000	1.000	0.000
rs1499614 lBF = `0.0885592` Chr`7` : `65,730,798`	0.000	1.000	0.000
rs7636 lBF = `0.0752719` Chr`7` : `100,490,077`	0.000	1.000	0.000
rs10231759 lBF = `0.0166435` Chr`7` : `150,512,172`	0.000	1.000	0.000
rs118189482 lBF = `0.0146004` Chr`7` : `154,460,660`	0.000	1.000	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	1.000	0.000
rs117982730 lBF = `-0.0065703` Chr`7` : `125,896,748`	0.000	1.000	0.000
rs3816415 lBF = `-0.0188618` Chr`7` : `37,988,311`	0.000	1.000	0.000
rs146885652 lBF = `-0.0190973` Chr`7` : `136,172,773`	0.000	1.000	0.000
rs10237118 lBF = `-0.0212007` Chr`7` : `140,231,130`	0.000	1.000	0.000
rs215738 lBF = `-0.0212849` Chr`7` : `32,444,435`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.9294

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3393

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9999

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9999

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9998

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9998

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9991

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9988

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9962

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9961

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9941

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9938

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9935

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9914

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9910

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9864

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9648

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9637

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9607

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9598

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9431

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9402

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9330

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9074

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8959

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8841

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8375

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7952

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7948

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7627

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7315

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7227

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6655

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6602

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6595

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6587

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6578

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6415

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6270

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6176

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6080

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5988

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5952

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5937

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5922

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5618

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5564

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4925

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4912

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4851

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4669

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4350

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4283

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4169

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4058

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3862

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3174

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3052

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2504

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2407

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2049

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1699

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1622

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1561

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1469

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1420

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1271

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1257

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1203

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1132

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1021

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0996

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0922

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0890

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0837

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0752

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0716

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0712

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0702

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`)