TreeWAS – [Z03.0] Observation for suspected tuberculosis

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
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.692	0.308	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.644	0.356	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.638	0.361	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.610	0.390	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.605	0.395	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.584	0.416	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.576	0.424	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.568	0.432	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.558	0.442	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.525	0.474	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.518	0.482	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.504	0.496	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.460	0.540	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.437	0.563	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.418	0.582	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.412	0.588	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.395	0.604	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.370	0.629	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.369	0.631	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.363	0.637	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.362	0.638	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.353	0.647	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.352	0.648	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.346	0.654	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.337	0.663	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.331	0.668	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.325	0.675	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.324	0.676	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.321	0.679	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.308	0.691	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.290	0.710	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.280	0.720	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.280	0.720	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.278	0.722	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.277	0.723	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.275	0.725	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.274	0.726	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.265	0.735	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.255	0.745	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.250	0.750	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.250	0.750	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.249	0.751	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.247	0.753	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.245	0.755	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.245	0.755	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.241	0.759	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.236	0.764	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.219	0.781	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.218	0.782	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.217	0.783	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.215	0.785	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.205	0.795	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.192	0.808	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.177	0.823	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.167	0.833	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.158	0.841	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.158	0.842	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.145	0.855	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.143	0.856	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.142	0.857	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.139	0.861	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.138	0.861	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.135	0.865	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.116	0.883	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.113	0.887	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.109	0.891	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.107	0.893	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.105	0.895	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.102	0.898	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.098	0.902	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.088	0.912	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.087	0.912	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.084	0.916	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.080	0.919	0.001
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.076	0.924	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.076	0.924	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.062	0.937	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.062	0.937	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.056	0.943	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.945	0.055
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.054	0.946	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.053	0.946	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.053	0.947	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.051	0.948	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.050	0.949	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.050	0.950	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.049	0.951	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.049	0.951	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.047	0.952	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.047	0.953	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.045	0.955	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.043	0.957	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.043	0.957	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.042	0.958	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.040	0.960	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.040	0.960	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.037	0.962	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.037	0.963	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.035	0.965	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.033	0.966	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.032	0.968	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.032	0.968	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.032	0.968	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.032	0.968	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.032	0.968	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.030	0.970	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.030	0.970	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.028	0.971	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.027	0.972	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.026	0.973	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.026	0.973	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.025	0.975	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.025	0.975	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.025	0.975	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.024	0.975	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.024	0.976	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.023	0.977	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.021	0.978	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.020	0.979	0.001
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.020	0.979	0.001
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.020	0.979	0.001
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.020	0.980	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.018	0.981	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.018	0.982	0.001
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.982	0.018
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.017	0.983	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.017	0.983	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.016	0.983	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.016	0.984	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.016	0.984	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.016	0.984	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.015	0.985	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.015	0.985	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.015	0.985	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.015	0.985	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.014	0.986	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.013	0.987	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.013	0.987	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.012	0.988	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.012	0.988	0.001
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.012	0.988	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.012	0.988	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.010	0.990	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.010	0.990	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.010	0.990	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.009	0.990	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.009	0.991	0.000
rs38152 lBF = `0.0173628` Chr`7` : `20,047,575`	0.000	0.991	0.009
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.009	0.991	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.008	0.991	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.008	0.992	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.008	0.992	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.008	0.992	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.008	0.992	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.008	0.992	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.008	0.992	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.007	0.992	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.007	0.993	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.007	0.993	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.007	0.993	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.006	0.993	0.001
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.993	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.006	0.994	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.006	0.994	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.994	0.000
rs1524058 lBF = `0.236582` Chr`7` : `38,136,277`	0.000	0.994	0.006
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.005	0.994	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.005	0.994	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.005	0.995	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.005	0.995	0.000
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.005	0.995	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.005	0.995	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.005	0.995	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.005	0.995	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.004	0.995	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.004	0.995	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.004	0.996	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.004	0.996	0.000
rs17169807 lBF = `0.0234637` Chr`7` : `33,181,238`	0.000	0.996	0.004
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.004	0.996	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.004	0.996	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.004	0.996	0.000
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.004	0.996	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.004	0.996	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.004	0.996	0.000
rs10267337 lBF = `0.00815866` Chr`7` : `155,768,749`	0.000	0.996	0.004
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.003	0.996	0.000
rs73098786 lBF = `0.057661` Chr`7` : `35,022,971`	0.004	0.996	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.004	0.996	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.003	0.996	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.003	0.996	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.003	0.997	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.003	0.997	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	0.997	0.003
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.003	0.997	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.003	0.997	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.003	0.997	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.997	0.003
rs4723619 lBF = `0.12456` Chr`7` : `37,266,352`	0.003	0.997	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.997	0.000
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rs10486860 lBF = `0.0403992` Chr`7` : `96,598,826`	0.000	1.000	0.000
rs17347800 lBF = `0.0181544` Chr`7` : `18,517,279`	0.000	1.000	0.000
rs117982730 lBF = `-0.0065703` Chr`7` : `125,896,748`	0.000	1.000	0.000
rs17144465 lBF = `-0.00865724` Chr`7` : `21,504,427`	0.000	1.000	0.000
rs11982256 lBF = `-0.0171488` Chr`7` : `86,799,441`	0.000	1.000	0.000
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	1.000	0.000
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	1.000	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.000	1.000	0.000
rs13239597 lBF = `0.304706` Chr`7` : `128,695,983`	0.000	1.000	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	1.000	0.000
rs13231516 lBF = `0.103308` Chr`7` : `72,863,249`	0.000	1.000	0.000
rs2240466 lBF = `0.0938571` Chr`7` : `72,856,269`	0.000	1.000	0.000
rs13244268 lBF = `0.0759865` Chr`7` : `72,911,843`	0.000	1.000	0.000
rs6961611 lBF = `0.0358141` Chr`7` : `67,426,323`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs17170849 lBF = `0.012062` Chr`7` : `37,085,053`	0.000	1.000	0.000
rs146885652 lBF = `-0.0190973` Chr`7` : `136,172,773`	0.000	1.000	0.000
rs700750 lBF = `-0.0310682` Chr`7` : `46,753,491`	0.000	1.000	0.000
rs10234749 lBF = `-0.0731333` Chr`7` : `152,387,869`	0.000	1.000	0.000
rs17145713 lBF = `-0.0735279` Chr`7` : `72,904,810`	0.000	1.000	0.000
rs1178979 lBF = `-0.0740334` Chr`7` : `72,856,430`	0.000	1.000	0.000
rs1178977 lBF = `-0.0744698` Chr`7` : `72,857,049`	0.000	1.000	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.000	1.000	0.000
rs10226228 lBF = `5.44741` Chr`7` : `32,315,613`	0.000	1.000	0.000
rs7780515 lBF = `5.33429` Chr`7` : `32,305,274`	0.000	1.000	0.000
rs11983798 lBF = `0.408875` Chr`7` : `105,281,188`	0.000	1.000	0.000
rs10488631 lBF = `0.301576` Chr`7` : `128,594,183`	0.000	1.000	0.000
rs12539741 lBF = `0.276177` Chr`7` : `128,596,805`	0.000	1.000	0.000
rs35000415 lBF = `0.275885` Chr`7` : `128,585,616`	0.000	1.000	0.000
rs12531711 lBF = `0.274671` Chr`7` : `128,617,466`	0.000	1.000	0.000
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.000	1.000	0.000
rs13233571 lBF = `0.180603` Chr`7` : `72,971,231`	0.000	1.000	0.000
rs144872818 lBF = `0.168542` Chr`7` : `49,894,195`	0.000	1.000	0.000
rs7809234 lBF = `0.105583` Chr`7` : `50,610,379`	0.000	1.000	0.000
rs12534093 lBF = `0.0851904` Chr`7` : `23,502,974`	0.000	1.000	0.000
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.000	1.000	0.000
rs67077197 lBF = `0.0659904` Chr`7` : `79,812,826`	0.000	1.000	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	1.000	0.000
rs528161076 lBF = `0.020658` Chr`7` : `4,827,514`	0.000	1.000	0.000
rs7809799 lBF = `0.0181533` Chr`7` : `98,760,504`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs116932763 lBF = `0.00888646` Chr`7` : `149,549,009`	0.000	1.000	0.000
rs975369 lBF = `0.00264626` Chr`7` : `25,612,661`	0.000	1.000	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.000	1.000	0.000
rs6978230 lBF = `-0.00355241` Chr`7` : `137,529,578`	0.000	1.000	0.000
rs76917448 lBF = `-0.0165131` Chr`7` : `34,114,712`	0.000	1.000	0.000
rs227932 lBF = `-0.0176426` Chr`7` : `23,624,475`	0.000	1.000	0.000
rs12669789 lBF = `-0.0241738` Chr`7` : `18,734,065`	0.000	1.000	0.000
rs1722229 lBF = `-0.0264214` Chr`7` : `101,286,177`	0.000	1.000	0.000
rs9638182 lBF = `-0.0773267` Chr`7` : `72,999,105`	0.000	1.000	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.000	1.000	0.000
rs75511781 lBF = `10.9224` Chr`7` : `131,323,710`	0.000	1.000	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.000	1.000	0.000
rs4909189 lBF = `0.230669` Chr`7` : `158,136,986`	0.000	1.000	0.000
rs12155172 lBF = `0.184424` Chr`7` : `20,994,491`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs1521470 lBF = `0.0950383` Chr`7` : `45,646,852`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.000	1.000	0.000
rs1014137 lBF = `0.0682659` Chr`7` : `31,623,746`	0.000	1.000	0.000
rs791595 lBF = `0.0447816` Chr`7` : `127,862,802`	0.000	1.000	0.000
rs11574703 lBF = `0.0394684` Chr`7` : `80,286,908`	0.000	1.000	0.000
rs117576300 lBF = `0.0302396` Chr`7` : `81,768,172`	0.000	1.000	0.000
rs2395022 lBF = `0.0225055` Chr`7` : `98,750,379`	0.000	1.000	0.000
rs1178326 lBF = `0.0154231` Chr`7` : `18,234,857`	0.000	1.000	0.000
rs188966536 lBF = `0.00983214` Chr`7` : `6,971,050`	0.000	1.000	0.000
rs10274759 lBF = `0.00139421` Chr`7` : `114,914,608`	0.000	1.000	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.000	1.000	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.000	1.000	0.000
rs2530544 lBF = `-0.0302503` Chr`7` : `34,697,060`	0.000	1.000	0.000
rs2316527 lBF = `-0.0352809` Chr`7` : `154,622,457`	0.000	1.000	0.000
rs11763760 lBF = `-0.0362019` Chr`7` : `23,480,467`	0.000	1.000	0.000
rs13228694 lBF = `-0.038905` Chr`7` : `99,940,307`	0.000	1.000	0.000
rs6952808 lBF = `-0.0428949` Chr`7` : `1,886,535`	0.000	1.000	0.000
rs3864639 lBF = `-0.0536574` Chr`7` : `76,738,591`	0.000	1.000	0.000
rs13236930 lBF = `-0.0594402` Chr`7` : `68,026,083`	0.000	1.000	0.000
rs13227425 lBF = `-0.0857354` Chr`7` : `13,554,008`	0.000	1.000	0.000
rs1357978 lBF = `-0.0914739` Chr`7` : `13,560,221`	0.000	1.000	0.000
rs1988399 lBF = `-0.0943702` Chr`7` : `95,624,310`	0.000	1.000	0.000
rs73691971 lBF = `10.3781` Chr`7` : `38,144,783`	0.000	1.000	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.000	1.000	0.000
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.000	1.000	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.000	1.000	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.000	1.000	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.000	1.000	0.000
rs4487645 lBF = `2.25218` Chr`7` : `21,938,240`	0.000	1.000	0.000
rs10225163 lBF = `1.42149` Chr`7` : `27,925,645`	0.000	1.000	0.000
rs60525454 lBF = `0.680418` Chr`7` : `2,652,222`	0.000	1.000	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.000	1.000	0.000
rs147642358 lBF = `0.230818` Chr`7` : `98,932,759`	0.000	1.000	0.000
rs17145738 lBF = `0.199231` Chr`7` : `72,982,874`	0.000	1.000	0.000
rs4724055 lBF = `0.101011` Chr`7` : `41,622,530`	0.000	1.000	0.000
rs7636 lBF = `0.0752719` Chr`7` : `100,490,077`	0.000	1.000	0.000
rs6963495 lBF = `0.041095` Chr`7` : `105,166,853`	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

0.2469

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0798

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7167

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7166

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7158

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7149

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7147

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7128

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7111

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7086

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7051

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7034

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7021

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6888

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6809

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6662

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6442

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6412

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6105

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6033

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5961

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5884

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5859

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5706

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5554

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5509

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5405

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5346

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5160

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5112

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4894

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4391

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4374

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3942

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3866

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3349

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3274

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3107

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3090

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2564

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2563

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2285

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2220

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1930

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1896

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1607

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1606

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1502

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1498

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1427

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1403

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1368

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1048

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1043

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1019

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1016

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0966

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0952

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0948

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0928

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0903

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0805

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0693

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0628

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0626

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0612

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0515

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0501

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`)