TreeWAS – [Z96.5] Presence of tooth-root and mandibular 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`	0.711	0.289	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.707	0.293	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.707	0.293	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.695	0.304	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.693	0.307	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.691	0.308	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.683	0.317	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.657	0.343	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.647	0.353	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.625	0.375	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.579	0.421	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.576	0.424	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.574	0.426	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.571	0.429	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.562	0.438	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.541	0.459	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.532	0.468	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.527	0.473	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.525	0.474	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.523	0.477	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.522	0.478	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.515	0.485	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.486	0.513	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.467	0.533	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.452	0.548	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.443	0.557	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.433	0.567	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.426	0.574	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.406	0.594	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.383	0.616	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.371	0.629	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.635	0.364
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.363	0.637	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.304	0.696	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.304	0.696	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.302	0.697	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.298	0.701	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.292	0.708	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.277	0.723	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`	0.261	0.739	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.246	0.753	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.246	0.754	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.218	0.782	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.217	0.783	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.207	0.793	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.186	0.814	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.185	0.815	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.184	0.816	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.184	0.816	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.179	0.821	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.176	0.823	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.169	0.830	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.155	0.845	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.151	0.849	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.148	0.852	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.140	0.859	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.133	0.867	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.130	0.870	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.130	0.870	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.122	0.878	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.116	0.882	0.001
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.116	0.884	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.113	0.886	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.098	0.902	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.092	0.907	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.089	0.911	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.088	0.912	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.087	0.913	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.079	0.921	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.072	0.928	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.070	0.930	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.068	0.932	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.067	0.933	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.066	0.934	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.063	0.937	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.058	0.942	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.057	0.942	0.001
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.055	0.945	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.053	0.946	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.053	0.946	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.053	0.947	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.052	0.948	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.047	0.953	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.047	0.953	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.045	0.954	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.039	0.961	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.038	0.962	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.037	0.963	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.036	0.964	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.036	0.964	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
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.030	0.970	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.027	0.972	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.026	0.974	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.026	0.974	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.025	0.975	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.025	0.975	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.024	0.976	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.021	0.978	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.021	0.979	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.020	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.981	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.013	0.987	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.013	0.987	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.012	0.988	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.011	0.989	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.011	0.989	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.011	0.989	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.011	0.989	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.010	0.990	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.009	0.991	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.009	0.991	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.007	0.991	0.002
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.009	0.991	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.009	0.991	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.008	0.992	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.008	0.992	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.993	0.007
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.007	0.993	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	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
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.006	0.994	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.004	0.995	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.004	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.004	0.996	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.004	0.996	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.004	0.996	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.004	0.996	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.004	0.996	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.004	0.996	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.003	0.996	0.001
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.003	0.997	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.003	0.997	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.003	0.997	0.000
rs2350782 lBF = `0.00738277` Chr`7` : `136,642,634`	0.003	0.997	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.003	0.997	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.003	0.997	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.003	0.997	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.003	0.997	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.002	0.997	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.002	0.997	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.002	0.998	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.002	0.998	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.002	0.998	0.000
rs2110001 lBF = `0.0503328` Chr`7` : `150,517,022`	0.000	0.998	0.002
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.002	0.998	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.002	0.998	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.002
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.002
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.998	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.002	0.998	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.001	0.998	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.001	0.998	0.001
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
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.001	0.998	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.001	0.999	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs77909595 lBF = `-0.00222583` Chr`7` : `95,700,008`	0.001	0.999	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs183747217 lBF = `0.00030401` Chr`7` : `151,740,811`	0.001	0.999	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.001	0.999	0.000
rs183110392 lBF = `0.00031335` Chr`7` : `94,053,290`	0.001	0.999	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.000	0.999	0.001
rs1358075 lBF = `0.00040226` Chr`7` : `146,135,938`	0.001	0.999	0.000
rs7795747 lBF = `0.00038589` Chr`7` : `150,361,718`	0.001	0.999	0.000
rs190817748 lBF = `0.00011677` Chr`7` : `52,139,578`	0.001	0.999	0.000
rs111588657 lBF = `0.00011247` Chr`7` : `52,133,803`	0.001	0.999	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.001	0.999	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.001	0.999	0.000
rs11564024 lBF = `0.00008225` Chr`7` : `27,335,561`	0.001	0.999	0.000
rs17135437 lBF = `0.00007711` Chr`7` : `101,115,994`	0.001	0.999	0.000
rs77443149 lBF = `0.00006049` Chr`7` : `97,924,554`	0.001	0.999	0.000
rs11770757 lBF = `0.00015366` Chr`7` : `133,747,946`	0.000	0.999	0.001
rs17159991 lBF = `0.00002963` Chr`7` : `31,242,470`	0.000	0.999	0.001
rs190130937 lBF = `0.00002823` Chr`7` : `13,111,178`	0.001	0.999	0.000
rs16882396 lBF = `0` Chr`7` : `140,888,321`	0.001	0.999	0.001
rs10266254 lBF = `0` Chr`7` : `89,763,864`	0.001	0.999	0.001
rs191698899 lBF = `0` Chr`7` : `94,015,730`	0.001	0.999	0.001
rs139110493 lBF = `0` Chr`7` : `75,209,951`	0.001	0.999	0.001
rs12666870 lBF = `0` Chr`7` : `78,158,472`	0.001	0.999	0.001
rs185746565 lBF = `0` Chr`7` : `135,260,049`	0.001	0.999	0.001
rs149774937 lBF = `0` Chr`7` : `151,737,020`	0.001	0.999	0.001
rs181328644 lBF = `0` Chr`7` : `34,899,414`	0.001	0.999	0.001
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rs2730260 lBF = `0.134731` Chr`7` : `158,846,929`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs2243480 lBF = `0.0740969` Chr`7` : `65,599,196`	0.000	1.000	0.000
rs1874326 lBF = `0.0627007` Chr`7` : `138,157,390`	0.000	1.000	0.000
rs79846815 lBF = `0.0597949` Chr`7` : `134,563,570`	0.000	1.000	0.000
rs17312438 lBF = `0.0542043` Chr`7` : `85,566,476`	0.000	1.000	0.000
rs11574703 lBF = `0.0394684` Chr`7` : `80,286,908`	0.000	1.000	0.000
rs28581422 lBF = `0.0287139` Chr`7` : `121,258,371`	0.000	1.000	0.000
rs813379 lBF = `0.0209609` Chr`7` : `90,781,987`	0.000	1.000	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	1.000	0.000
rs17173608 lBF = `0.00678417` Chr`7` : `150,036,664`	0.000	1.000	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	1.000	0.000
rs2529049 lBF = `0.00624433` Chr`7` : `24,719,606`	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
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	1.000	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	1.000	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	1.000	0.000
rs10259085 lBF = `-0.0200224` Chr`7` : `7,268,431`	0.000	1.000	0.000
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.000	1.000	0.000
rs215738 lBF = `-0.0212849` Chr`7` : `32,444,435`	0.000	1.000	0.000
rs7798500 lBF = `-0.0244286` Chr`7` : `106,662,083`	0.000	1.000	0.000
rs2530544 lBF = `-0.0302503` Chr`7` : `34,697,060`	0.000	1.000	0.000
rs38855 lBF = `-0.0372994` Chr`7` : `116,358,044`	0.000	1.000	0.000
rs7795541 lBF = `-0.0399887` Chr`7` : `24,085,854`	0.000	1.000	0.000
rs17736906 lBF = `-0.0461555` Chr`7` : `53,982,626`	0.000	1.000	0.000
rs12535608 lBF = `-0.0860787` Chr`7` : `17,727,580`	0.000	1.000	0.000
rs6959964 lBF = `-0.0866281` Chr`7` : `68,905,738`	0.000	1.000	0.000
rs4236274 lBF = `-0.0961941` Chr`7` : `1,896,413`	0.000	1.000	0.000
rs917727 lBF = `18.2921` Chr`7` : `121,018,579`	0.000	1.000	0.000
rs7776725 lBF = `14.8756` Chr`7` : `121,033,121`	0.000	1.000	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.000	1.000	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	1.000	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.000	1.000	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.000	1.000	0.000
rs77375314 lBF = `6.86127` Chr`7` : `136,121,062`	0.000	1.000	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.000	1.000	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.000	1.000	0.000
rs2108225 lBF = `2.80286` Chr`7` : `107,453,103`	0.000	1.000	0.000
rs38911 lBF = `2.34384` Chr`7` : `116,895,163`	0.000	1.000	0.000
rs38904 lBF = `2.29737` Chr`7` : `116,892,846`	0.000	1.000	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.000	1.000	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	1.000	0.000
rs1142 lBF = `0.233755` Chr`7` : `104,756,326`	0.000	1.000	0.000
rs4721135 lBF = `0.163969` Chr`7` : `1,912,222`	0.000	1.000	0.000
rs4723619 lBF = `0.12456` Chr`7` : `37,266,352`	0.000	1.000	0.000
rs79947808 lBF = `0.102391` Chr`7` : `127,867,455`	0.000	1.000	0.000
rs148490894 lBF = `0.101087` Chr`7` : `99,531,755`	0.000	1.000	0.000
rs4724055 lBF = `0.101011` Chr`7` : `41,622,530`	0.000	1.000	0.000
rs2282978 lBF = `0.0967275` Chr`7` : `92,264,410`	0.000	1.000	0.000
rs445 lBF = `0.0752584` Chr`7` : `92,408,370`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	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
rs140607780 lBF = `0.0596114` Chr`7` : `100,103,523`	0.000	1.000	0.000
rs73098786 lBF = `0.057661` Chr`7` : `35,022,971`	0.000	1.000	0.000
rs6466055 lBF = `0.0576311` Chr`7` : `104,929,064`	0.000	1.000	0.000
rs2589998 lBF = `0.0421368` Chr`7` : `137,866,370`	0.000	1.000	0.000
rs6963495 lBF = `0.041095` Chr`7` : `105,166,853`	0.000	1.000	0.000
rs17154917 lBF = `0.0351242` Chr`7` : `80,836,709`	0.000	1.000	0.000
rs2190422 lBF = `0.0324287` Chr`7` : `103,066,776`	0.000	1.000	0.000
rs10953454 lBF = `0.0295221` Chr`7` : `104,503,813`	0.000	1.000	0.000
rs11971186 lBF = `0.0248602` Chr`7` : `126,437,897`	0.000	1.000	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	1.000	0.000
rs528161076 lBF = `0.020658` Chr`7` : `4,827,514`	0.000	1.000	0.000
rs740145 lBF = `0.0183006` Chr`7` : `29,921,524`	0.000	1.000	0.000
rs1378770 lBF = `0.0160759` Chr`7` : `114,363,566`	0.000	1.000	0.000
rs118189482 lBF = `0.0146004` Chr`7` : `154,460,660`	0.000	1.000	0.000
rs71574743 lBF = `0.0140309` Chr`7` : `123,044,507`	0.000	1.000	0.000
rs188966536 lBF = `0.00983214` Chr`7` : `6,971,050`	0.000	1.000	0.000
rs9648428 lBF = `0.00813016` Chr`7` : `36,211,749`	0.000	1.000	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	1.000	0.000
rs354033 lBF = `-0.00595692` Chr`7` : `149,289,464`	0.000	1.000	0.000
rs10270805 lBF = `-0.0084613` Chr`7` : `16,500,142`	0.000	1.000	0.000
rs7806994 lBF = `-0.0102542` Chr`7` : `56,139,505`	0.000	1.000	0.000
rs17712049 lBF = `-0.0156929` Chr`7` : `48,266,195`	0.000	1.000	0.000
rs11982256 lBF = `-0.0171488` Chr`7` : `86,799,441`	0.000	1.000	0.000
rs36109662 lBF = `-0.0222975` Chr`7` : `104,083,702`	0.000	1.000	0.000
rs2040494 lBF = `-0.0231305` Chr`7` : `92,256,905`	0.000	1.000	0.000
rs13437751 lBF = `-0.0237981` Chr`7` : `63,346,886`	0.000	1.000	0.000
rs2072209 lBF = `-0.0252312` Chr`7` : `107,592,198`	0.000	1.000	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	1.000	0.000
rs62468398 lBF = `-0.0349589` Chr`7` : `131,893,485`	0.000	1.000	0.000
rs2390593 lBF = `-0.0351175` Chr`7` : `21,861,112`	0.000	1.000	0.000
rs10263087 lBF = `-0.0367014` Chr`7` : `154,970,469`	0.000	1.000	0.000
rs17137412 lBF = `-0.0369901` Chr`7` : `7,800,687`	0.000	1.000	0.000
rs9641855 lBF = `-0.0436041` Chr`7` : `129,356,206`	0.000	1.000	0.000
rs10227393 lBF = `-0.0528696` Chr`7` : `145,062,740`	0.000	1.000	0.000
rs7782993 lBF = `-0.0581707` Chr`7` : `7,312,735`	0.000	1.000	0.000
rs11977715 lBF = `-0.0673102` Chr`7` : `95,117,703`	0.000	1.000	0.000
rs6459804 lBF = `-0.0689723` Chr`7` : `157,510,195`	0.000	1.000	0.000
rs4725479 lBF = `-0.079041` Chr`7` : `152,745,810`	0.000	1.000	0.000
rs1534696 lBF = `-0.0927055` Chr`7` : `26,397,239`	0.000	1.000	0.000
rs2214681 lBF = `-0.0964606` Chr`7` : `147,702,692`	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

0.6741

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2623

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0720

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7168

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7167

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7167

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7163

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7160

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7159

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7158

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7155

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7152

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7149

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7127

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7127

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7126

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7111

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7101

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7092

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7091

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7041

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7013

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7010

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6929

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6905

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6897

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6841

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6819

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6767

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6742

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6719

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6712

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6700

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6674

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6663

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6654

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6618

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6600

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6403

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6285

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6237

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6211

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6198

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6165

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6119

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6025

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5958

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5919

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5850

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5849

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5799

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5534

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5467

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5361

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5349

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5204

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5142

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5076

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4616

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4565

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4405

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4399

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4385

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3989

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3745

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3583

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3555

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3470

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3413

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3266

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3221

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3186

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3026

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2821

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2547

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2189

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2085

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1931

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1844

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1709

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1706

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1686

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1640

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1588

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1510

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1503

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1438

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1332

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1310

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1280

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1262

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1159

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1061

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1021

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1012

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0956

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0885

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0874

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0818

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0781

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0780

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0668

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0664

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0662

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0626

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0602

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0598

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0556

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`)