TreeWAS – [Z86] Personal history of certain other diseases

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
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.995	0.005	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.987	0.013	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.983	0.017	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.981	0.019	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.965	0.035	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.964	0.036	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.955	0.045	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.930	0.070	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.924	0.076	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.911	0.089	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.895	0.105	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.857	0.143	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.800	0.200	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.770	0.230	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.752	0.248	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.709	0.291	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.699	0.301	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.656	0.344	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.629	0.371	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.375	0.625
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.619	0.381	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.617	0.383	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.608	0.392	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.598	0.402	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.593	0.407	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.560	0.440	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.524	0.476	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.504	0.496	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.496	0.504	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.464	0.536	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.407	0.593	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.365	0.635	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.355	0.645	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.337	0.663	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.330	0.670	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.314	0.686	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.266	0.734	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.265	0.735	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.251	0.749	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.240	0.760	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.217	0.783	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.204	0.796	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.201	0.799	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.201	0.799	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.192	0.808	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.186	0.814	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.179	0.821	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.166	0.834	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.163	0.837	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.161	0.839	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.152	0.848	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.148	0.852	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.123	0.877	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.122	0.878	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.121	0.879	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.121	0.879	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.117	0.883	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.103	0.897	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.102	0.898	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.074	0.926	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.073	0.927	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.072	0.928	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.070	0.930	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.068	0.932	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.063	0.937	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.056	0.944	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.053	0.947	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.052	0.948	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.048	0.952	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.045	0.955	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.045	0.955	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.044	0.956	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.044	0.956	0.000
rs875971 lBF = `0.0644474` Chr`7` : `65,617,595`	0.044	0.956	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.042	0.958	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.035	0.965	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.034	0.966	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.033	0.967	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.032	0.968	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.029	0.971	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.028	0.972	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.027	0.973	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.027	0.973	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.025	0.975	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.025	0.975	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.024	0.976	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.023	0.977	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.022	0.978	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.020	0.980	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.020	0.980	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.019	0.981	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.018	0.982	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.017	0.983	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.017	0.983	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.017	0.983	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.016	0.984	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.016	0.984	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.016	0.984	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.016	0.984	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.015	0.985	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.015	0.985	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.014	0.986	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.012	0.987	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.010	0.990	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.009	0.990	0.002
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.010	0.990	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.009	0.990	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.009	0.991	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.008	0.992	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.008	0.992	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.007	0.993	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.007	0.993	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.007	0.993	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.006	0.993	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.005	0.995	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.005	0.995	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.005	0.995	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.005	0.995	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.004	0.996	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.004	0.996	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.004	0.996	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.996	0.004
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.003	0.997	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.003	0.997	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.003	0.997	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.003	0.997	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.003	0.997	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.997	0.002
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.002	0.998	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.002
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.002	0.998	0.000
rs929354 lBF = `3.12762` Chr`7` : `157,045,557`	0.002	0.998	0.000
rs10274759 lBF = `0.00139421` Chr`7` : `114,914,608`	0.000	0.998	0.002
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.002	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	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
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.002	0.998	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.001	0.998	0.000
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	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.001	0.999	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.001	0.999	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.001	0.999	0.000
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs183110392 lBF = `0.00031335` Chr`7` : `94,053,290`	0.001	0.999	0.000
rs7789850 lBF = `0.0146769` Chr`7` : `141,300,611`	0.000	0.999	0.001
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
rs183747217 lBF = `0.00030401` Chr`7` : `151,740,811`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs1358075 lBF = `0.00040226` Chr`7` : `146,135,938`	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
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.001	0.999	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.001	0.999	0.000
rs17711722 lBF = `0.0241998` Chr`7` : `65,271,197`	0.001	0.999	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.001	0.999	0.000
rs77443149 lBF = `0.00006049` Chr`7` : `97,924,554`	0.001	0.999	0.000
rs190130937 lBF = `0.00002823` Chr`7` : `13,111,178`	0.001	0.999	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	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
rs16882396 lBF = `0` Chr`7` : `140,888,321`	0.001	0.999	0.001
rs886448 lBF = `0` Chr`7` : `24,240,165`	0.001	0.999	0.001
rs185746565 lBF = `0` Chr`7` : `135,260,049`	0.001	0.999	0.001
rs114659987 lBF = `0` Chr`7` : `51,094,963`	0.001	0.999	0.001
rs6593122 lBF = `0` Chr`7` : `54,181,932`	0.001	0.999	0.001
rs149774937 lBF = `0` Chr`7` : `151,737,020`	0.001	0.999	0.001
rs6973392 lBF = `0` Chr`7` : `89,060,733`	0.001	0.999	0.001
rs182858794 lBF = `0` Chr`7` : `93,981,552`	0.001	0.999	0.001
rs149069622 lBF = `0` Chr`7` : `151,749,259`	0.001	0.999	0.001
rs115744676 lBF = `0` Chr`7` : `94,061,404`	0.001	0.999	0.001
rs138896312 lBF = `0` Chr`7` : `53,900,123`	0.001	0.999	0.001
rs147962389 lBF = `0` Chr`7` : `151,730,891`	0.001	0.999	0.001
rs74629737 lBF = `0` Chr`7` : `34,093,454`	0.001	0.999	0.001
rs183464040 lBF = `0` Chr`7` : `125,610,713`	0.001	0.999	0.001
rs182033693 lBF = `0` Chr`7` : `70,622,427`	0.001	0.999	0.001
rs150256815 lBF = `0` Chr`7` : `151,743,793`	0.001	0.999	0.001
rs76742446 lBF = `0` Chr`7` : `155,072,619`	0.001	0.999	0.001
rs141892389 lBF = `0` Chr`7` : `151,716,711`	0.001	0.999	0.001
rs806215 lBF = `0` Chr`7` : `127,237,312`	0.001	0.999	0.001
rs8192851 lBF = `0` Chr`7` : `139,687,304`	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
rs181328644 lBF = `0` Chr`7` : `34,899,414`	0.001	0.999	0.001
rs10428959 lBF = `0` Chr`7` : `111,677,906`	0.001	0.999	0.001
rs114174633 lBF = `0` Chr`7` : `151,706,189`	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
rs11982969 lBF = `0` Chr`7` : `142,141,746`	0.001	0.999	0.001
rs74464075 lBF = `0` Chr`7` : `86,874,077`	0.001	0.999	0.001
rs191979398 lBF = `0` Chr`7` : `94,008,007`	0.001	0.999	0.001
rs6977715 lBF = `0` Chr`7` : `154,169,002`	0.001	0.999	0.001
rs192462116 lBF = `0` Chr`7` : `94,767,406`	0.001	0.999	0.001
rs189909051 lBF = `0` Chr`7` : `151,731,803`	0.001	0.999	0.001
rs188324495 lBF = `0` Chr`7` : `7,195,467`	0.001	0.999	0.001
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rs116932763 lBF = `0.00888646` Chr`7` : `149,549,009`	0.000	1.000	0.000
rs10267337 lBF = `0.00815866` Chr`7` : `155,768,749`	0.000	1.000	0.000
rs17173608 lBF = `0.00678417` Chr`7` : `150,036,664`	0.000	1.000	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	0.000	1.000	0.000
rs1918526 lBF = `0.00242736` Chr`7` : `115,138,008`	0.000	1.000	0.000
rs6956740 lBF = `-0.00046026` Chr`7` : `45,903,807`	0.000	1.000	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	1.000	0.000
rs5745687 lBF = `-0.00508209` Chr`7` : `81,359,051`	0.000	1.000	0.000
rs1229542 lBF = `-0.00648148` Chr`7` : `97,422,926`	0.000	1.000	0.000
rs144759648 lBF = `-0.0072668` Chr`7` : `156,736,023`	0.000	1.000	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	1.000	0.000
rs11769293 lBF = `-0.00980119` Chr`7` : `28,911,807`	0.000	1.000	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	1.000	0.000
rs7788657 lBF = `-0.0132731` Chr`7` : `13,922,141`	0.000	1.000	0.000
rs10486003 lBF = `-0.0197037` Chr`7` : `97,229,778`	0.000	1.000	0.000
rs10237118 lBF = `-0.0212007` Chr`7` : `140,231,130`	0.000	1.000	0.000
rs36109662 lBF = `-0.0222975` Chr`7` : `104,083,702`	0.000	1.000	0.000
rs7798500 lBF = `-0.0244286` Chr`7` : `106,662,083`	0.000	1.000	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	1.000	0.000
rs765855 lBF = `-0.0351126` Chr`7` : `8,552,614`	0.000	1.000	0.000
rs2691543 lBF = `-0.0362495` Chr`7` : `77,964,788`	0.000	1.000	0.000
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.000	1.000	0.000
rs2724013 lBF = `-0.042152` Chr`7` : `37,389,310`	0.000	1.000	0.000
rs11976180 lBF = `-0.0525842` Chr`7` : `143,741,580`	0.000	1.000	0.000
rs17765925 lBF = `-0.0737005` Chr`7` : `14,281,910`	0.000	1.000	0.000
rs4725479 lBF = `-0.079041` Chr`7` : `152,745,810`	0.000	1.000	0.000
rs798489 lBF = `-0.0861266` Chr`7` : `2,801,803`	0.000	1.000	0.000
rs10236696 lBF = `-0.0925623` Chr`7` : `77,681,379`	0.000	1.000	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.000	1.000	0.000
rs2908007 lBF = `30.0281` Chr`7` : `120,962,164`	0.000	1.000	0.000
rs3800962 lBF = `21.2372` Chr`7` : `18,066,569`	0.000	1.000	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.000	1.000	0.000
rs12538707 lBF = `19.6336` Chr`7` : `87,124,268`	0.000	1.000	0.000
rs2302387 lBF = `19.0709` Chr`7` : `87,092,185`	0.000	1.000	0.000
rs4148807 lBF = `18.9699` Chr`7` : `87,105,812`	0.000	1.000	0.000
rs4148808 lBF = `18.9164` Chr`7` : `87,105,795`	0.000	1.000	0.000
rs4148805 lBF = `18.9159` Chr`7` : `87,106,365`	0.000	1.000	0.000
rs3801387 lBF = `18.8319` Chr`7` : `120,974,765`	0.000	1.000	0.000
rs10242100 lBF = `18.8068` Chr`7` : `120,983,343`	0.000	1.000	0.000
rs917727 lBF = `18.2921` Chr`7` : `121,018,579`	0.000	1.000	0.000
rs56364616 lBF = `18.2523` Chr`7` : `121,017,474`	0.000	1.000	0.000
rs3842 lBF = `18.0375` Chr`7` : `87,133,366`	0.000	1.000	0.000
rs45554032 lBF = `17.3797` Chr`7` : `87,078,547`	0.000	1.000	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.000	1.000	0.000
rs1547959 lBF = `14.9559` Chr`7` : `120,945,328`	0.000	1.000	0.000
rs7776725 lBF = `14.8756` Chr`7` : `121,033,121`	0.000	1.000	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.000	1.000	0.000
rs157934 lBF = `14.527` Chr`7` : `130,585,492`	0.000	1.000	0.000
rs157935 lBF = `14.4252` Chr`7` : `130,585,553`	0.000	1.000	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.000	1.000	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.000	1.000	0.000
rs2598104 lBF = `13.7885` Chr`7` : `37,977,249`	0.000	1.000	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.000	1.000	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.000	1.000	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.000	1.000	0.000
rs849135 lBF = `12.0155` Chr`7` : `28,196,413`	0.000	1.000	0.000
rs849134 lBF = `11.707` Chr`7` : `28,196,222`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	1.000	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	1.000	0.000
rs4148810 lBF = `10.9528` Chr`7` : `87,102,251`	0.000	1.000	0.000
rs1635852 lBF = `10.8815` Chr`7` : `28,189,411`	0.000	1.000	0.000
rs849142 lBF = `10.781` Chr`7` : `28,185,891`	0.000	1.000	0.000
rs864745 lBF = `10.5901` Chr`7` : `28,180,556`	0.000	1.000	0.000
rs73691971 lBF = `10.3781` Chr`7` : `38,144,783`	0.000	1.000	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.000	1.000	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.000	1.000	0.000
rs73183643 lBF = `10.2453` Chr`7` : `101,418,653`	0.000	1.000	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.000	1.000	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.000	1.000	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	1.000	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.000	1.000	0.000
rs849140 lBF = `9.55396` Chr`7` : `28,183,702`	0.000	1.000	0.000
rs3735533 lBF = `9.47729` Chr`7` : `27,245,893`	0.000	1.000	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.000	1.000	0.000
rs2109505 lBF = `9.11073` Chr`7` : `87,079,406`	0.000	1.000	0.000
rs4722675 lBF = `8.94587` Chr`7` : `27,243,962`	0.000	1.000	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.000	1.000	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.000	1.000	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.000	1.000	0.000
rs1541519 lBF = `8.50534` Chr`7` : `102,466,741`	0.000	1.000	0.000
rs10276619 lBF = `8.37995` Chr`7` : `50,313,352`	0.000	1.000	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	1.000	0.000
rs3972456 lBF = `7.89544` Chr`7` : `102,436,907`	0.000	1.000	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.000	1.000	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	1.000	0.000
rs2286195 lBF = `7.52235` Chr`7` : `139,728,584`	0.000	1.000	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.000	1.000	0.000
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	1.000	0.000
rs34854328 lBF = `6.93614` Chr`7` : `107,461,908`	0.000	1.000	0.000
rs12538362 lBF = `6.9165` Chr`7` : `73,320,111`	0.000	1.000	0.000
rs77375314 lBF = `6.86127` Chr`7` : `136,121,062`	0.000	1.000	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	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

0.9299

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1468

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

1.0000

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9997

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9995

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9995

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9992

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9988

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9977

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9972

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9895

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9848

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9545

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8488

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8168

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7833

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7264

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6065

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4683

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3620

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2587

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2376

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2305

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2247

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2187

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1982

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1847

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1548

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1453

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1418

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1277

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1115

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0922

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0858

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0812

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0723

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0542

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0512

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`)