TreeWAS – [Z90.2] Acquired absence of lung [part of]

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
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.848	0.152	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.802	0.198	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.793	0.207	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.732	0.268	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.698	0.302	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.677	0.323	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.673	0.327	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.661	0.339	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.660	0.340	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.619	0.381	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.617	0.383	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.606	0.394	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.401	0.598
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.590	0.409	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.587	0.413	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.581	0.419	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.565	0.435	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.554	0.446	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.540	0.460	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.500	0.500	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.493	0.507	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.436	0.564	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.420	0.579	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.417	0.583	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.415	0.585	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.406	0.594	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.404	0.596	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.400	0.599	0.001
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.394	0.606	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.389	0.610	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.385	0.615	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.383	0.617	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.382	0.618	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.364	0.636	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.358	0.642	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.337	0.663	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.314	0.685	0.001
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.311	0.689	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.293	0.707	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.272	0.728	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.251	0.748	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.241	0.759	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.231	0.769	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.200	0.800	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.197	0.803	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.188	0.812	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.183	0.817	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.182	0.818	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.180	0.820	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.169	0.831	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.168	0.832	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.168	0.832	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.159	0.841	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.156	0.844	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.147	0.853	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.139	0.861	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.130	0.870	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.130	0.870	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.127	0.873	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.118	0.882	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.117	0.883	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.096	0.904	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.094	0.906	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.089	0.911	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.088	0.912	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.083	0.917	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.082	0.918	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.080	0.920	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.076	0.923	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.075	0.925	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.073	0.926	0.001
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.073	0.927	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.070	0.930	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.065	0.934	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.063	0.937	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.057	0.943	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.053	0.947	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.048	0.952	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.047	0.953	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.046	0.954	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.045	0.955	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.045	0.955	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.043	0.957	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.042	0.958	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.034	0.965	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.032	0.968	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.029	0.971	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.028	0.972	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.028	0.972	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.028	0.972	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.027	0.973	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.026	0.974	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.024	0.976	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.023	0.977	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.022	0.978	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.022	0.978	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.980	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.019	0.981	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.019	0.981	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.000	0.981	0.019
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.018	0.982	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.016	0.984	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.985	0.015
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.015	0.985	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.013	0.987	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.012	0.987	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.011	0.988	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.011	0.989	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.011	0.989	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.011	0.989	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.010	0.990	0.000
rs1429524 lBF = `-0.104038` Chr`7` : `90,944,268`	0.010	0.990	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.009	0.991	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.008	0.992	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.008	0.992	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.007	0.992	0.000
rs11979158 lBF = `0.207043` Chr`7` : `55,159,349`	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
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.006	0.994	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.006	0.994	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.006	0.994	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.005	0.994	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.005	0.994	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.005	0.995	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.005	0.995	0.000
rs10229603 lBF = `-0.0466775` Chr`7` : `112,628,373`	0.000	0.995	0.005
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.005	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.004	0.996	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.004	0.996	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.004	0.996	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.003	0.996	0.000
rs342293 lBF = `-0.0152893` Chr`7` : `106,372,219`	0.000	0.996	0.004
rs342296 lBF = `-0.0427677` Chr`7` : `106,372,903`	0.000	0.996	0.004
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.003	0.996	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.003	0.997	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.003	0.997	0.000
rs2068399 lBF = `-0.0561701` Chr`7` : `14,228,703`	0.003	0.997	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.003	0.997	0.000
rs2290263 lBF = `0.0268183` Chr`7` : `25,887,278`	0.003	0.997	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.003	0.997	0.000
rs342275 lBF = `0.0056673` Chr`7` : `106,359,216`	0.000	0.997	0.003
rs12670798 lBF = `-0.0225138` Chr`7` : `21,607,352`	0.003	0.997	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.002	0.998	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.002	0.998	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.001	0.998	0.001
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.002	0.998	0.000
rs11975235 lBF = `-0.0288421` Chr`7` : `32,189,540`	0.002	0.998	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs11771145 lBF = `-0.0924853` Chr`7` : `143,110,762`	0.000	0.998	0.002
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.002	0.998	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.002	0.998	0.000
rs56130071 lBF = `0.0470259` Chr`7` : `21,598,753`	0.002	0.998	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.002	0.998	0.000
rs368331 lBF = `1.10684` Chr`7` : `21,742,974`	0.002	0.998	0.000
rs10254284 lBF = `0.461934` Chr`7` : `28,167,391`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.002	0.998	0.000
rs2968863 lBF = `0.217834` Chr`7` : `150,623,137`	0.000	0.998	0.002
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs10227393 lBF = `-0.0528696` Chr`7` : `145,062,740`	0.002	0.998	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.002	0.998	0.000
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.002	0.998	0.000
rs2072413 lBF = `1.81325` Chr`7` : `150,647,969`	0.000	0.998	0.002
rs55649657 lBF = `0.0270104` Chr`7` : `21,607,283`	0.002	0.998	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.002	0.998	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.001
rs11764116 lBF = `-0.0739883` Chr`7` : `18,800,413`	0.002	0.998	0.000
rs2968864 lBF = `0.20783` Chr`7` : `150,622,162`	0.000	0.998	0.002
rs2349775 lBF = `-0.0835505` Chr`7` : `8,718,080`	0.000	0.998	0.002
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.002	0.998	0.000
rs75290158 lBF = `0.0002205` Chr`7` : `96,652,459`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.001
rs17864092 lBF = `0.35633` Chr`7` : `126,639,604`	0.000	0.998	0.002
rs186289784 lBF = `0.00088986` Chr`7` : `38,627,391`	0.001	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.001	0.998	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.001	0.998	0.000
rs7808970 lBF = `-0.00304985` Chr`7` : `100,080,738`	0.001	0.998	0.000
rs10486187 lBF = `0.00981245` Chr`7` : `7,779,324`	0.000	0.999	0.001
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.001	0.999	0.000
rs12531458 lBF = `-0.0612496` Chr`7` : `39,090,698`	0.000	0.999	0.001
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.001	0.999	0.000
rs17691394 lBF = `0.00130571` Chr`7` : `126,324,591`	0.000	0.999	0.001
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.001	0.999	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs73066442 lBF = `-0.00645015` Chr`7` : `21,592,973`	0.001	0.999	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.001	0.999	0.000
rs7780001 lBF = `0.00047015` Chr`7` : `19,477,981`	0.000	0.999	0.001
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.000	0.999	0.001
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	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
rs183747217 lBF = `0.00030401` Chr`7` : `151,740,811`	0.001	0.999	0.000
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rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs1178326 lBF = `0.0154231` Chr`7` : `18,234,857`	0.000	1.000	0.000
rs71574743 lBF = `0.0140309` Chr`7` : `123,044,507`	0.000	1.000	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	1.000	0.000
rs409224 lBF = `-0.0263091` Chr`7` : `101,865,210`	0.000	1.000	0.000
rs13438712 lBF = `-0.0960607` Chr`7` : `105,542,580`	0.000	1.000	0.000
rs10488631 lBF = `0.301576` Chr`7` : `128,594,183`	0.000	1.000	0.000
rs12531711 lBF = `0.274671` Chr`7` : `128,617,466`	0.000	1.000	0.000
rs2710804 lBF = `0.0908973` Chr`7` : `36,084,529`	0.000	1.000	0.000
rs740145 lBF = `0.0183006` Chr`7` : `29,921,524`	0.000	1.000	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	0.000	1.000	0.000
rs146885652 lBF = `-0.0190973` Chr`7` : `136,172,773`	0.000	1.000	0.000
rs2286492 lBF = `-0.021858` Chr`7` : `22,985,010`	0.000	1.000	0.000
rs4142995 lBF = `-0.0964954` Chr`7` : `17,919,258`	0.000	1.000	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.000	1.000	0.000
rs10244051 lBF = `5.07893` Chr`7` : `15,063,833`	0.000	1.000	0.000
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.000	1.000	0.000
rs35000415 lBF = `0.275885` Chr`7` : `128,585,616`	0.000	1.000	0.000
rs28581422 lBF = `0.0287139` Chr`7` : `121,258,371`	0.000	1.000	0.000
rs13227425 lBF = `-0.0857354` Chr`7` : `13,554,008`	0.000	1.000	0.000
rs2730245 lBF = `-0.123302` Chr`7` : `158,724,789`	0.000	1.000	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.000	1.000	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.000	1.000	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.000	1.000	0.000
rs4730276 lBF = `1.66867` Chr`7` : `107,484,437`	0.000	1.000	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	1.000	0.000
rs10231619 lBF = `0.0794645` Chr`7` : `43,320,594`	0.000	1.000	0.000
rs1734907 lBF = `0.0655614` Chr`7` : `100,315,517`	0.000	1.000	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	1.000	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	1.000	0.000
rs11767557 lBF = `-0.0643106` Chr`7` : `143,109,139`	0.000	1.000	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	1.000	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	1.000	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.000	1.000	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.000	1.000	0.000
rs1974620 lBF = `5.02586` Chr`7` : `15,065,467`	0.000	1.000	0.000
rs12539741 lBF = `0.276177` Chr`7` : `128,596,805`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs550448 lBF = `0.0595546` Chr`7` : `28,229,042`	0.000	1.000	0.000
rs79835348 lBF = `0.0004048` Chr`7` : `28,475,255`	0.000	1.000	0.000
rs7786896 lBF = `-0.036003` Chr`7` : `39,093,928`	0.000	1.000	0.000
rs1195218 lBF = `-0.0423319` Chr`7` : `68,624,342`	0.000	1.000	0.000
rs4730268 lBF = `-0.0498351` Chr`7` : `107,443,386`	0.000	1.000	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.000	1.000	0.000
rs7803069 lBF = `5.28469` Chr`7` : `34,238,688`	0.000	1.000	0.000
rs7809234 lBF = `0.105583` Chr`7` : `50,610,379`	0.000	1.000	0.000
rs10486023 lBF = `0.0535224` Chr`7` : `114,178,653`	0.000	1.000	0.000
rs7787531 lBF = `0.00424964` Chr`7` : `129,023,597`	0.000	1.000	0.000
rs500454 lBF = `0.00039349` Chr`7` : `80,799,834`	0.000	1.000	0.000
rs1722229 lBF = `-0.0264214` Chr`7` : `101,286,177`	0.000	1.000	0.000
rs634010 lBF = `-0.0419973` Chr`7` : `111,698,108`	0.000	1.000	0.000
rs7801303 lBF = `-0.0937074` Chr`7` : `40,918,070`	0.000	1.000	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.000	1.000	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.000	1.000	0.000
rs6947830 lBF = `5.24508` Chr`7` : `15,064,984`	0.000	1.000	0.000
rs13241427 lBF = `2.02766` Chr`7` : `1,288,639`	0.000	1.000	0.000
rs6463768 lBF = `1.85242` Chr`7` : `8,157,887`	0.000	1.000	0.000
rs147642358 lBF = `0.230818` Chr`7` : `98,932,759`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.000	1.000	0.000
rs79846815 lBF = `0.0597949` Chr`7` : `134,563,570`	0.000	1.000	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	1.000	0.000
rs10435178 lBF = `0.0236493` Chr`7` : `46,720,711`	0.000	1.000	0.000
rs17170849 lBF = `0.012062` Chr`7` : `37,085,053`	0.000	1.000	0.000
rs117898805 lBF = `-0.00112999` Chr`7` : `54,516,128`	0.000	1.000	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.000	1.000	0.000
rs10486776 lBF = `-0.0194356` Chr`7` : `15,742,786`	0.000	1.000	0.000
rs10255295 lBF = `-0.0367314` Chr`7` : `137,858,766`	0.000	1.000	0.000
rs7797976 lBF = `-0.0372863` Chr`7` : `120,843,516`	0.000	1.000	0.000
rs10262995 lBF = `-0.0453288` Chr`7` : `33,550,041`	0.000	1.000	0.000
rs62448936 lBF = `-0.0544392` Chr`7` : `24,507,030`	0.000	1.000	0.000
rs2167364 lBF = `-0.0728901` Chr`7` : `50,565,827`	0.000	1.000	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.000	1.000	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.000	1.000	0.000
rs2191349 lBF = `5.07677` Chr`7` : `15,064,309`	0.000	1.000	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.000	1.000	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	1.000	0.000
rs336284 lBF = `0.708232` Chr`7` : `35,293,972`	0.000	1.000	0.000
rs1406503 lBF = `0.410906` Chr`7` : `88,560,878`	0.000	1.000	0.000
rs1801085 lBF = `0.234665` Chr`7` : `27,168,590`	0.000	1.000	0.000
rs140104968 lBF = `0.178321` Chr`7` : `99,543,627`	0.000	1.000	0.000
rs10486860 lBF = `0.0403992` Chr`7` : `96,598,826`	0.000	1.000	0.000
rs6961611 lBF = `0.0358141` Chr`7` : `67,426,323`	0.000	1.000	0.000
rs2299187 lBF = `0.0221288` Chr`7` : `82,047,102`	0.000	1.000	0.000
rs17156280 lBF = `0.0183399` Chr`7` : `82,043,990`	0.000	1.000	0.000
rs2969540 lBF = `0.0178522` Chr`7` : `154,900,857`	0.000	1.000	0.000
rs188966536 lBF = `0.00983214` Chr`7` : `6,971,050`	0.000	1.000	0.000
rs975369 lBF = `0.00264626` Chr`7` : `25,612,661`	0.000	1.000	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	1.000	0.000
rs7792939 lBF = `-0.00384027` Chr`7` : `99,207,876`	0.000	1.000	0.000
rs964714 lBF = `-0.00515014` Chr`7` : `82,382,624`	0.000	1.000	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	1.000	0.000
rs13231718 lBF = `-0.0309848` Chr`7` : `95,600,368`	0.000	1.000	0.000
rs13438327 lBF = `-0.0377185` Chr`7` : `97,620,691`	0.000	1.000	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.000	1.000	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	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

0.7993

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5409

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4904

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9966

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9955

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9921

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9868

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9851

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9787

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9742

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9714

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9702

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9537

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9490

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9395

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9350

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9308

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9256

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9068

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9009

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8928

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8682

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8658

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8276

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8067

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7943

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7723

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7347

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7317

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7291

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7212

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7085

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6887

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6552

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6551

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6356

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6337

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5766

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5556

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5210

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4730

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4633

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4415

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4149

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4098

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3832

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3499

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3385

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3236

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3102

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3007

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2897

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2875

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2814

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2522

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2458

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1998

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1863

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1778

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1765

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1732

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1540

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1477

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1402

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1292

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1108

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0976

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0887

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0812

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0700

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0596

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0554

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`)