TreeWAS – [Z80.5] Family history of malignant neoplasm of urinary tract

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
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.742	0.258	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.725	0.275	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.693	0.307	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.666	0.334	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.649	0.351	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.640	0.360	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.585	0.415	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.546	0.454	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.523	0.477	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.519	0.481	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.515	0.485	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.490	0.509	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.490	0.510	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.488	0.512	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.488	0.512	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.474	0.526	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.470	0.530	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.469	0.530	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.462	0.538	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.452	0.548	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.436	0.564	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.412	0.587	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.410	0.590	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.404	0.596	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.403	0.597	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.399	0.601	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.395	0.605	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.389	0.611	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.381	0.619	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.372	0.627	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.370	0.630	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.356	0.644	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.344	0.655	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.343	0.657	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.340	0.660	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.336	0.664	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.326	0.674	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.316	0.684	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.297	0.703	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.293	0.707	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.291	0.709	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.284	0.716	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.280	0.720	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.254	0.746	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.247	0.753	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.240	0.760	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.227	0.773	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.218	0.782	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.217	0.783	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.001	0.798	0.201
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.187	0.813	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.177	0.822	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.161	0.839	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.141	0.859	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.140	0.860	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.139	0.861	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.139	0.861	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.131	0.869	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.128	0.872	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.124	0.876	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.124	0.876	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.118	0.882	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.115	0.885	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.115	0.885	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.114	0.886	0.000
rs12707249 lBF = `0.0725718` Chr`7` : `135,479,573`	0.114	0.886	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.104	0.896	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.100	0.900	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.099	0.901	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.090	0.910	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.088	0.912	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.077	0.923	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.068	0.932	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.063	0.937	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.057	0.943	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.053	0.946	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.052	0.948	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.050	0.950	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.050	0.950	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.047	0.953	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.043	0.957	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.043	0.957	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.042	0.958	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.041	0.959	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.040	0.959	0.001
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.040	0.960	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.039	0.961	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.038	0.962	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.038	0.962	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.037	0.963	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.037	0.963	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.033	0.967	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.032	0.968	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.031	0.968	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.031	0.969	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.030	0.969	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.030	0.970	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.029	0.971	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.029	0.971	0.000
rs11975235 lBF = `-0.0288421` Chr`7` : `32,189,540`	0.029	0.971	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.026	0.974	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.026	0.974	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.025	0.974	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.024	0.976	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.024	0.976	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.023	0.977	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.022	0.978	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.021	0.978	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.981	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.019	0.981	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.018	0.982	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.982	0.018
rs1406503 lBF = `0.410906` Chr`7` : `88,560,878`	0.017	0.983	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.014	0.986	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.014	0.986	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.013	0.987	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.012	0.988	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.012	0.988	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.012	0.988	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.012	0.988	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.010	0.990	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.010	0.990	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.010	0.990	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.010	0.990	0.000
rs975369 lBF = `0.00264626` Chr`7` : `25,612,661`	0.009	0.991	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.008	0.992	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`	0.007	0.993	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.000	0.993	0.007
rs10277115 lBF = `0.169212` Chr`7` : `1,285,195`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.006	0.993	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.006	0.994	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.005	0.995	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.005	0.995	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.005	0.995	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.005	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs10486860 lBF = `0.0403992` Chr`7` : `96,598,826`	0.004	0.996	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.004	0.996	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.004	0.996	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.004	0.996	0.000
rs4607517 lBF = `-0.0219251` Chr`7` : `44,235,668`	0.000	0.996	0.004
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.004	0.996	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.004	0.996	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.003	0.997	0.000
rs10487245 lBF = `0.0502743` Chr`7` : `93,713,521`	0.003	0.997	0.000
rs2700987 lBF = `-0.0862849` Chr`7` : `37,386,237`	0.003	0.997	0.000
rs11983798 lBF = `0.408875` Chr`7` : `105,281,188`	0.003	0.997	0.000
rs17640804 lBF = `-0.0494161` Chr`7` : `42,131,390`	0.003	0.997	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.003	0.997	0.000
rs67250450 lBF = `0.0184838` Chr`7` : `28,174,986`	0.003	0.997	0.000
rs11975386 lBF = `0.03953` Chr`7` : `93,705,033`	0.003	0.997	0.000
rs730497 lBF = `-0.0214942` Chr`7` : `44,223,721`	0.000	0.997	0.003
rs35493220 lBF = `-0.0428689` Chr`7` : `51,704,391`	0.003	0.997	0.000
rs17151904 lBF = `-0.0165664` Chr`7` : `25,608,409`	0.003	0.997	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.002	0.997	0.000
rs1799884 lBF = `-0.0242663` Chr`7` : `44,229,068`	0.000	0.997	0.003
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.003	0.997	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.002	0.997	0.000
rs2110483 lBF = `0.0581393` Chr`7` : `93,880,093`	0.002	0.997	0.000
rs10275044 lBF = `0.0741263` Chr`7` : `1,273,845`	0.002	0.998	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.002	0.998	0.000
rs972283 lBF = `1.51223` Chr`7` : `130,466,854`	0.000	0.998	0.002
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.002	0.998	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.002	0.998	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.002	0.998	0.000
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.002	0.998	0.000
rs13241427 lBF = `2.02766` Chr`7` : `1,288,639`	0.002	0.998	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.002	0.998	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.002	0.998	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.000	0.998	0.002
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.000	0.998	0.002
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs113527903 lBF = `-0.00514283` Chr`7` : `77,838,510`	0.002	0.998	0.000
rs17143586 lBF = `-0.0202163` Chr`7` : `8,177,397`	0.002	0.998	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.002	0.998	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.002	0.998	0.000
rs114945094 lBF = `-0.00580405` Chr`7` : `12,193,432`	0.000	0.998	0.002
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs2724013 lBF = `-0.042152` Chr`7` : `37,389,310`	0.002	0.998	0.000
rs813379 lBF = `0.0209609` Chr`7` : `90,781,987`	0.002	0.998	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.001
rs4722672 lBF = `0.12026` Chr`7` : `27,231,762`	0.000	0.998	0.002
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.998	0.000
rs6967330 lBF = `-0.0499433` Chr`7` : `105,658,451`	0.002	0.998	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.000	0.998	0.001
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.000	0.998	0.002
rs7785730 lBF = `0.131242` Chr`7` : `28,096,199`	0.000	0.998	0.002
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.001	0.998	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.001	0.998	0.000
rs17765925 lBF = `-0.0737005` Chr`7` : `14,281,910`	0.000	0.998	0.002
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.001	0.998	0.000
rs6955651 lBF = `0.0246413` Chr`7` : `76,639,871`	0.000	0.998	0.002
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.001
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.001	0.998	0.000
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rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.000	0.999	0.000
rs73157010 lBF = `-0.0169849` Chr`7` : `136,396,861`	0.000	0.999	0.000
rs2853552 lBF = `-0.0360162` Chr`7` : `18,980,267`	0.000	0.999	0.001
rs10486158 lBF = `-0.0400806` Chr`7` : `7,399,404`	0.001	0.999	0.000
rs4731207 lBF = `-0.0608991` Chr`7` : `124,396,645`	0.001	0.999	0.000
rs41997 lBF = `-0.0752118` Chr`7` : `117,991,895`	0.000	0.999	0.001
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	0.999	0.001
rs3757458 lBF = `0.123124` Chr`7` : `100,881,403`	0.000	0.999	0.000
rs62471956 lBF = `0.078847` Chr`7` : `99,421,085`	0.000	0.999	0.000
rs10237118 lBF = `-0.0212007` Chr`7` : `140,231,130`	0.001	0.999	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.000	0.999	0.001
rs6974491 lBF = `0.112356` Chr`7` : `37,374,510`	0.000	0.999	0.000
rs757278 lBF = `0.0655344` Chr`7` : `117,377,645`	0.001	0.999	0.000
rs10260606 lBF = `0.00946789` Chr`7` : `44,584,551`	0.000	0.999	0.001
rs73157032 lBF = `-0.0196123` Chr`7` : `136,428,681`	0.000	0.999	0.000
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.000	0.999	0.000
rs7805747 lBF = `2.36363` Chr`7` : `151,407,801`	0.000	0.999	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	0.999	0.000
rs245880 lBF = `0.125176` Chr`7` : `29,186,256`	0.000	0.999	0.000
rs79947808 lBF = `0.102391` Chr`7` : `127,867,455`	0.000	0.999	0.000
rs34044649 lBF = `-0.124815` Chr`7` : `155,655,693`	0.000	0.999	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.000	1.000	0.000
rs4380874 lBF = `5.15013` Chr`7` : `107,480,315`	0.000	1.000	0.000
rs11766519 lBF = `0.335098` Chr`7` : `57,583,856`	0.000	1.000	0.000
rs2190016 lBF = `0.274511` Chr`7` : `46,944,807`	0.000	1.000	0.000
rs113779084 lBF = `0.0396014` Chr`7` : `11,871,787`	0.000	1.000	0.000
rs10270805 lBF = `-0.0084613` Chr`7` : `16,500,142`	0.000	1.000	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.000	1.000	0.000
rs144495862 lBF = `-0.0885939` Chr`7` : `48,233,391`	0.000	1.000	0.000
rs12718598 lBF = `-0.0988841` Chr`7` : `50,428,445`	0.000	1.000	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	1.000	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.000	1.000	0.000
rs10241865 lBF = `5.23716` Chr`7` : `102,527,517`	0.000	1.000	0.000
rs6466198 lBF = `3.3692` Chr`7` : `107,480,126`	0.000	1.000	0.000
rs6463768 lBF = `1.85242` Chr`7` : `8,157,887`	0.000	1.000	0.000
rs1949829 lBF = `0.144483` Chr`7` : `51,537,887`	0.000	1.000	0.000
rs2909678 lBF = `0.070941` Chr`7` : `131,334,001`	0.000	1.000	0.000
rs11979476 lBF = `0.00902874` Chr`7` : `128,993,756`	0.000	1.000	0.000
rs10260404 lBF = `0.00501174` Chr`7` : `154,210,798`	0.000	1.000	0.000
rs144759648 lBF = `-0.0072668` Chr`7` : `156,736,023`	0.000	1.000	0.000
rs62468398 lBF = `-0.0349589` Chr`7` : `131,893,485`	0.000	1.000	0.000
rs4285401 lBF = `-0.053787` Chr`7` : `152,878,333`	0.000	1.000	0.000
rs34912216 lBF = `-0.0713345` Chr`7` : `4,118,377`	0.000	1.000	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.000	1.000	0.000
rs3735533 lBF = `9.47729` Chr`7` : `27,245,893`	0.000	1.000	0.000
rs7341475 lBF = `1.86077` Chr`7` : `103,404,815`	0.000	1.000	0.000
rs4730276 lBF = `1.66867` Chr`7` : `107,484,437`	0.000	1.000	0.000
rs17168486 lBF = `1.48001` Chr`7` : `14,898,282`	0.000	1.000	0.000
rs1830074 lBF = `0.232354` Chr`7` : `6,718,674`	0.000	1.000	0.000
rs11978472 lBF = `0.113728` Chr`7` : `81,839,553`	0.000	1.000	0.000
rs10952132 lBF = `0.00473674` Chr`7` : `9,066,820`	0.000	1.000	0.000
rs500454 lBF = `0.00039349` Chr`7` : `80,799,834`	0.000	1.000	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.000	1.000	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.000	1.000	0.000
rs4722675 lBF = `8.94587` Chr`7` : `27,243,962`	0.000	1.000	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.000	1.000	0.000
rs7493 lBF = `0.533844` Chr`7` : `95,034,775`	0.000	1.000	0.000
rs144872818 lBF = `0.168542` Chr`7` : `49,894,195`	0.000	1.000	0.000
rs140607780 lBF = `0.0596114` Chr`7` : `100,103,523`	0.000	1.000	0.000
rs117576300 lBF = `0.0302396` Chr`7` : `81,768,172`	0.000	1.000	0.000
rs118189482 lBF = `0.0146004` Chr`7` : `154,460,660`	0.000	1.000	0.000
rs488333 lBF = `-0.00188581` Chr`7` : `83,911,271`	0.000	1.000	0.000
rs1861525 lBF = `-0.0080982` Chr`7` : `25,161,602`	0.000	1.000	0.000
rs79811809 lBF = `-0.0164946` Chr`7` : `140,633,481`	0.000	1.000	0.000
rs7779018 lBF = `-0.0440286` Chr`7` : `121,950,965`	0.000	1.000	0.000
rs2521634 lBF = `-0.0445843` Chr`7` : `24,378,040`	0.000	1.000	0.000
rs6977820 lBF = `-0.0459922` Chr`7` : `154,072,020`	0.000	1.000	0.000
rs28671666 lBF = `-0.086827` Chr`7` : `12,184,430`	0.000	1.000	0.000
rs2024125 lBF = `-0.104421` Chr`7` : `43,158,477`	0.000	1.000	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.000	1.000	0.000
rs1541519 lBF = `8.50534` Chr`7` : `102,466,741`	0.000	1.000	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	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
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	1.000	0.000
rs10230193 lBF = `0.14682` Chr`7` : `50,364,626`	0.000	1.000	0.000
rs1521470 lBF = `0.0950383` Chr`7` : `45,646,852`	0.000	1.000	0.000
rs12534093 lBF = `0.0851904` Chr`7` : `23,502,974`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.000	1.000	0.000
rs4730430 lBF = `0.00364518` Chr`7` : `110,047,964`	0.000	1.000	0.000
rs7780001 lBF = `0.00047015` Chr`7` : `19,477,981`	0.000	1.000	0.000
rs28375034 lBF = `-0.0052452` Chr`7` : `132,886,052`	0.000	1.000	0.000
rs11976180 lBF = `-0.0525842` Chr`7` : `143,741,580`	0.000	1.000	0.000
rs343064 lBF = `-0.0528877` Chr`7` : `35,554,788`	0.000	1.000	0.000
rs13236930 lBF = `-0.0594402` Chr`7` : `68,026,083`	0.000	1.000	0.000
rs834811 lBF = `-0.101632` Chr`7` : `135,884,571`	0.000	1.000	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.000	1.000	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.000	1.000	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.000	1.000	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.000	1.000	0.000
rs6956675 lBF = `0.0638822` Chr`7` : `62,577,770`	0.000	1.000	0.000
rs2533291 lBF = `0.0282098` Chr`7` : `157,505,654`	0.000	1.000	0.000
rs17347800 lBF = `0.0181544` Chr`7` : `18,517,279`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs10486187 lBF = `0.00981245` Chr`7` : `7,779,324`	0.000	1.000	0.000
rs4437584 lBF = `-0.00039055` Chr`7` : `79,860,293`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	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

0.6426

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3500

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9878

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9834

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9615

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9607

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9565

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9510

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9434

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9422

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9284

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9277

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9258

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9191

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9009

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8930

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8738

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8726

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8702

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8677

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8544

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8226

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8200

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8148

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8143

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8100

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8040

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7843

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7694

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7684

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7599

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7567

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7546

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7535

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7322

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7142

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7112

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7041

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7039

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6955

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6908

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6754

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6646

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6381

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6291

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6109

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6056

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6040

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5978

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5917

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5780

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5707

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5449

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5288

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4827

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4709

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4504

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4418

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4253

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4251

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4241

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4161

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4025

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4019

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3852

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3709

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3302

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3246

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3076

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2929

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2927

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2911

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2762

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2418

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2287

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2238

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2162

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2147

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2085

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2007

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1892

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1757

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1755

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1716

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1678

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1669

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1549

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1358

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1142

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1134

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1101

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1089

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0980

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0974

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0963

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0878

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0718

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0689

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0686

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0557

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0557

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`)