TreeWAS – [Z80.6] Family history of leukaemia

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`	0.693	0.307	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.693	0.307	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.691	0.309	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.666	0.334	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.603	0.397	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.585	0.415	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.577	0.423	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.558	0.442	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
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`	0.486	0.514	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.483	0.516	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.479	0.520	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.479	0.520	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.474	0.526	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.469	0.530	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.414	0.586	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.412	0.587	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.404	0.596	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.399	0.601	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.396	0.604	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
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.375	0.625	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`	0.361	0.638	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.356	0.643	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.349	0.651	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.342	0.658	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.340	0.660	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.334	0.666	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.313	0.686	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.309	0.691	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.297	0.703	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.296	0.704	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.293	0.707	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
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.249	0.751	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`	0.228	0.772	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.203	0.797	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.001	0.798	0.201
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.171	0.829	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.170	0.830	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.169	0.830	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.141	0.858	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`	0.137	0.863	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.134	0.866	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.131	0.868	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.130	0.870	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.126	0.873	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.124	0.876	0.000
rs12707249 lBF = `0.0725718` Chr`7` : `135,479,573`	0.119	0.881	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.115	0.885	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.112	0.888	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.108	0.892	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.107	0.893	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.103	0.897	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.084	0.915	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.082	0.917	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.080	0.919	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.076	0.924	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.070	0.930	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.068	0.932	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.057	0.943	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.056	0.944	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`	0.051	0.949	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.050	0.950	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.044	0.956	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.043	0.957	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.043	0.957	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.043	0.957	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.042	0.958	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.038	0.962	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.038	0.962	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.038	0.962	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.037	0.963	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.037	0.963	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.037	0.963	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.036	0.964	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
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.029	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
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.027	0.972	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.025	0.975	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.024	0.976	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.023	0.977	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.022	0.977	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.022	0.978	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
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.021	0.979	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.019	0.981	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.981	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.018	0.982	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.982	0.018
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.014	0.986	0.000
rs1406503 lBF = `0.410906` Chr`7` : `88,560,878`	0.014	0.986	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.013	0.987	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.012	0.988	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.011	0.988	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.011	0.988	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.011	0.989	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.011	0.989	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`	0.009	0.991	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.009	0.991	0.000
rs975369 lBF = `0.00264626` Chr`7` : `25,612,661`	0.008	0.992	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.000	0.992	0.008
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	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`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.006	0.993	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
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.005	0.995	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.005	0.995	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.005	0.995	0.000
rs10486860 lBF = `0.0403992` Chr`7` : `96,598,826`	0.004	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs67250450 lBF = `0.0184838` Chr`7` : `28,174,986`	0.004	0.996	0.000
rs4607517 lBF = `-0.0219251` Chr`7` : `44,235,668`	0.000	0.996	0.004
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.004	0.996	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.004	0.996	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.004	0.996	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.003	0.996	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.003	0.997	0.000
rs2110483 lBF = `0.0581393` Chr`7` : `93,880,093`	0.003	0.997	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.003	0.997	0.000
rs730497 lBF = `-0.0214942` Chr`7` : `44,223,721`	0.000	0.997	0.003
rs2700987 lBF = `-0.0862849` Chr`7` : `37,386,237`	0.003	0.997	0.000
rs1799884 lBF = `-0.0242663` Chr`7` : `44,229,068`	0.000	0.997	0.003
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.003	0.997	0.000
rs11983798 lBF = `0.408875` Chr`7` : `105,281,188`	0.003	0.997	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.003	0.997	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.003	0.997	0.000
rs35493220 lBF = `-0.0428689` Chr`7` : `51,704,391`	0.003	0.997	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.003	0.997	0.000
rs10487245 lBF = `0.0502743` Chr`7` : `93,713,521`	0.002	0.998	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.002	0.998	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs17765925 lBF = `-0.0737005` Chr`7` : `14,281,910`	0.000	0.998	0.002
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.002	0.998	0.000
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.002	0.998	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.002	0.998	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.002	0.998	0.000
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
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.002	0.998	0.000
rs11975386 lBF = `0.03953` Chr`7` : `93,705,033`	0.002	0.998	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.002	0.998	0.000
rs17151904 lBF = `-0.0165664` Chr`7` : `25,608,409`	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
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.001
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.001	0.998	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.002	0.998	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.000	0.998	0.002
rs813379 lBF = `0.0209609` Chr`7` : `90,781,987`	0.002	0.998	0.000
rs2724013 lBF = `-0.042152` Chr`7` : `37,389,310`	0.002	0.998	0.000
rs56232506 lBF = `1.10735` Chr`7` : `47,437,244`	0.002	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.001	0.998	0.000
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.001	0.998	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.001	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.001
rs2521634 lBF = `-0.0445843` Chr`7` : `24,378,040`	0.001	0.999	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.001	0.999	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.000	0.999	0.001
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.001	0.999	0.000
rs17143586 lBF = `-0.0202163` Chr`7` : `8,177,397`	0.001	0.999	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.001	0.999	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.999	0.001
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs10486023 lBF = `0.0535224` Chr`7` : `114,178,653`	0.001	0.999	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs34912216 lBF = `-0.0713345` Chr`7` : `4,118,377`	0.001	0.999	0.000
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs183110392 lBF = `0.00031335` Chr`7` : `94,053,290`	0.001	0.999	0.000
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rs6465468 lBF = `0.0103626` Chr`7` : `95,169,514`	0.000	1.000	0.000
rs12530845 lBF = `0.00786972` Chr`7` : `135,329,978`	0.000	1.000	0.000
rs6465825 lBF = `0.00170816` Chr`7` : `77,416,439`	0.000	1.000	0.000
rs211829 lBF = `-0.00123029` Chr`7` : `110,048,893`	0.000	1.000	0.000
rs1861525 lBF = `-0.0080982` Chr`7` : `25,161,602`	0.000	1.000	0.000
rs3816415 lBF = `-0.0188618` Chr`7` : `37,988,311`	0.000	1.000	0.000
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.000	1.000	0.000
rs11975235 lBF = `-0.0288421` Chr`7` : `32,189,540`	0.000	1.000	0.000
rs7801303 lBF = `-0.0937074` Chr`7` : `40,918,070`	0.000	1.000	0.000
rs13307587 lBF = `-0.110801` Chr`7` : `13,543,729`	0.000	1.000	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.000	1.000	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.000	1.000	0.000
rs1476679 lBF = `1.97053` Chr`7` : `100,004,446`	0.000	1.000	0.000
rs147642358 lBF = `0.230818` Chr`7` : `98,932,759`	0.000	1.000	0.000
rs140607780 lBF = `0.0596114` Chr`7` : `100,103,523`	0.000	1.000	0.000
rs728115 lBF = `0.0299662` Chr`7` : `120,305,149`	0.000	1.000	0.000
rs4437584 lBF = `-0.00039055` Chr`7` : `79,860,293`	0.000	1.000	0.000
rs6964415 lBF = `-0.0363183` Chr`7` : `46,242,583`	0.000	1.000	0.000
rs2245368 lBF = `-0.037174` Chr`7` : `76,608,143`	0.000	1.000	0.000
rs17158930 lBF = `-0.0391456` Chr`7` : `111,511,138`	0.000	1.000	0.000
rs1195218 lBF = `-0.0423319` Chr`7` : `68,624,342`	0.000	1.000	0.000
rs6964969 lBF = `-0.0486701` Chr`7` : `50,473,251`	0.000	1.000	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.000	1.000	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.000	1.000	0.000
rs1404278 lBF = `8.61678` Chr`7` : `27,634,726`	0.000	1.000	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs118189482 lBF = `0.0146004` Chr`7` : `154,460,660`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs7792939 lBF = `-0.00384027` Chr`7` : `99,207,876`	0.000	1.000	0.000
rs1861960 lBF = `-0.0100575` Chr`7` : `155,285,135`	0.000	1.000	0.000
rs79811809 lBF = `-0.0164946` Chr`7` : `140,633,481`	0.000	1.000	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.000	1.000	0.000
rs1914395 lBF = `-0.0241902` Chr`7` : `71,839,408`	0.000	1.000	0.000
rs7798500 lBF = `-0.0244286` Chr`7` : `106,662,083`	0.000	1.000	0.000
rs10279833 lBF = `-0.0340081` Chr`7` : `28,901,965`	0.000	1.000	0.000
rs11980379 lBF = `-0.0532557` Chr`7` : `50,469,981`	0.000	1.000	0.000
rs4132601 lBF = `-0.0540788` Chr`7` : `50,470,604`	0.000	1.000	0.000
rs846271 lBF = `-0.0583613` Chr`7` : `42,036,837`	0.000	1.000	0.000
rs180273 lBF = `-0.0624492` Chr`7` : `93,538,295`	0.000	1.000	0.000
rs10273775 lBF = `-0.0929336` Chr`7` : `146,897,403`	0.000	1.000	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.000	1.000	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.000	1.000	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.000	1.000	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.000	1.000	0.000
rs7493 lBF = `0.533844` Chr`7` : `95,034,775`	0.000	1.000	0.000
rs11979158 lBF = `0.207043` Chr`7` : `55,159,349`	0.000	1.000	0.000
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.000	1.000	0.000
rs10276381 lBF = `0.0558711` Chr`7` : `28,190,121`	0.000	1.000	0.000
rs1476587 lBF = `-0.0245083` Chr`7` : `86,696,714`	0.000	1.000	0.000
rs1364402 lBF = `-0.0250636` Chr`7` : `136,584,363`	0.000	1.000	0.000
rs2853552 lBF = `-0.0360162` Chr`7` : `18,980,267`	0.000	1.000	0.000
rs1019173 lBF = `-0.0364381` Chr`7` : `151,710,547`	0.000	1.000	0.000
rs11978267 lBF = `-0.0496632` Chr`7` : `50,466,304`	0.000	1.000	0.000
rs7782993 lBF = `-0.0581707` Chr`7` : `7,312,735`	0.000	1.000	0.000
rs1919796 lBF = `-0.0666009` Chr`7` : `9,323,220`	0.000	1.000	0.000
rs61159171 lBF = `-0.0888637` Chr`7` : `111,642,646`	0.000	1.000	0.000
rs6968385 lBF = `-0.0977914` Chr`7` : `110,047,471`	0.000	1.000	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	1.000	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.000	1.000	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.000	1.000	0.000
rs7803069 lBF = `5.28469` Chr`7` : `34,238,688`	0.000	1.000	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.000	1.000	0.000
rs1362212 lBF = `2.46483` Chr`7` : `35,305,306`	0.000	1.000	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.000	1.000	0.000
rs10262624 lBF = `0.00658073` Chr`7` : `23,915,676`	0.000	1.000	0.000
rs9986765 lBF = `0.00046339` Chr`7` : `142,835,239`	0.000	1.000	0.000
rs117898805 lBF = `-0.00112999` Chr`7` : `54,516,128`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	1.000	0.000
rs7802124 lBF = `-0.0206618` Chr`7` : `116,205,914`	0.000	1.000	0.000
rs13233308 lBF = `-0.0218799` Chr`7` : `87,244,960`	0.000	1.000	0.000
rs2040494 lBF = `-0.0231305` Chr`7` : `92,256,905`	0.000	1.000	0.000
rs73712171 lBF = `-0.0254741` Chr`7` : `101,129,765`	0.000	1.000	0.000
rs10488029 lBF = `-0.0524578` Chr`7` : `37,067,395`	0.000	1.000	0.000
rs4731207 lBF = `-0.0608991` Chr`7` : `124,396,645`	0.000	1.000	0.000
rs1852612 lBF = `-0.103036` Chr`7` : `45,400,895`	0.000	1.000	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.000	1.000	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.000	1.000	0.000
rs864745 lBF = `10.5901` Chr`7` : `28,180,556`	0.000	1.000	0.000
rs38904 lBF = `2.29737` Chr`7` : `116,892,846`	0.000	1.000	0.000
rs4909189 lBF = `0.230669` Chr`7` : `158,136,986`	0.000	1.000	0.000
rs731565 lBF = `0.0892396` Chr`7` : `147,406,262`	0.000	1.000	0.000
rs117530689 lBF = `0.0449646` Chr`7` : `102,030,935`	0.000	1.000	0.000
rs858249 lBF = `0.0396708` Chr`7` : `23,220,639`	0.000	1.000	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	1.000	0.000
rs117576300 lBF = `0.0302396` Chr`7` : `81,768,172`	0.000	1.000	0.000
rs6955651 lBF = `0.0246413` Chr`7` : `76,639,871`	0.000	1.000	0.000
rs2075671 lBF = `0.0180786` Chr`7` : `100,345,106`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs13238203 lBF = `0.0112571` Chr`7` : `72,129,667`	0.000	1.000	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	1.000	0.000
rs11525841 lBF = `0.00232679` Chr`7` : `85,183,168`	0.000	1.000	0.000
rs17513961 lBF = `0.00155061` Chr`7` : `46,392,567`	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

0.6256

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3012

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9459

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9172

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8948

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8851

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8801

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8659

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8277

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8051

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7942

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7924

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7813

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7746

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7700

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7461

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7444

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7165

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7165

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7165

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7163

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7163

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7153

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7137

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7128

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7117

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6948

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6942

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6929

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6871

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6868

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6855

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6837

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6797

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6771

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6744

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6742

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6692

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6528

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6412

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6380

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6177

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6170

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6147

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5767

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5633

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5596

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5553

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5548

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5424

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5314

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5239

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5041

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5002

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4985

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4932

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4830

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4748

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4707

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4676

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4600

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4588

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4540

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4374

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3685

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3585

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3380

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3338

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3246

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3202

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2904

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2850

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2698

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2691

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2658

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2482

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2423

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2112

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1994

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1924

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1911

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1899

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1854

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1836

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1814

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1796

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1643

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1371

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1024

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1012

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0996

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0947

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0931

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0916

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0878

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0873

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0862

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0801

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0792

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0753

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0752

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0707

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0667

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0591

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0581

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`)