TreeWAS – [Z91.3] Personal history of unhealthy sleep-wake schedule

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
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.683	0.317	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.672	0.328	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.649	0.351	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.639	0.361	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.639	0.361	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.638	0.362	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.605	0.395	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.601	0.399	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.585	0.415	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.585	0.415	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.582	0.418	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.580	0.420	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.571	0.428	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.566	0.433	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.559	0.441	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.558	0.442	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.556	0.443	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.550	0.450	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.533	0.467	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.531	0.469	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.529	0.471	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.528	0.472	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.528	0.472	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.519	0.481	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.515	0.485	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.490	0.510
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.510	0.490	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.490	0.510	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.488	0.512	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.485	0.515	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.473	0.527	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.465	0.534	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.464	0.536	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.448	0.552	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.429	0.570	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.427	0.573	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.412	0.587	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.411	0.588	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.402	0.598	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.399	0.601	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.398	0.601	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.398	0.601	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.384	0.616	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.379	0.621	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.360	0.640	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.352	0.648	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.344	0.655	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.335	0.665	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.293	0.706	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.284	0.716	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.272	0.726	0.002
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.270	0.730	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.262	0.738	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.257	0.743	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.256	0.744	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.247	0.753	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.245	0.755	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.239	0.761	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.210	0.790	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.187	0.813	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.159	0.841	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.148	0.851	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.138	0.862	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.138	0.862	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.137	0.863	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.136	0.864	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.136	0.864	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.127	0.873	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.127	0.873	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.125	0.875	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.110	0.890	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.105	0.895	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.102	0.897	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.102	0.898	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.099	0.901	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.098	0.902	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.095	0.905	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.094	0.906	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.088	0.912	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.081	0.919	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.076	0.923	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.076	0.924	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.075	0.925	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.065	0.934	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.053	0.946	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.046	0.954	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.046	0.954	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.046	0.954	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.045	0.955	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.043	0.957	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.043	0.957	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.038	0.962	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.037	0.963	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.035	0.964	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.034	0.966	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.033	0.966	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.032	0.968	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.032	0.968	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.030	0.970	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.030	0.970	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.029	0.971	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.028	0.972	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.027	0.973	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.024	0.975	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.023	0.976	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.021	0.977	0.002
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.020	0.980	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.019	0.980	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.019	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.981	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.018	0.982	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.018	0.982	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.017	0.982	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.014	0.986	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.013	0.987	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.012	0.987	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.012	0.988	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.012	0.988	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.011	0.989	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.010	0.990	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.010	0.990	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.009	0.990	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.009	0.991	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.008	0.992	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.008	0.992	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.008	0.992	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.008	0.992	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.007	0.992	0.001
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.007	0.993	0.000
rs17157903 lBF = `0.0742906` Chr`7` : `103,628,036`	0.007	0.993	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.007	0.993	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.993	0.007
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.007	0.993	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.007	0.993	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.006	0.994	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.006	0.994	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.005	0.995	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.005	0.995	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.005	0.995	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.005	0.995	0.000
rs7808970 lBF = `-0.00304985` Chr`7` : `100,080,738`	0.005	0.995	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.995	0.000
rs756912 lBF = `0.0954993` Chr`7` : `71,741,797`	0.000	0.995	0.004
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.004	0.996	0.000
rs34044649 lBF = `-0.124815` Chr`7` : `155,655,693`	0.004	0.996	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.004	0.996	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.004	0.996	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.004	0.996	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.003	0.996	0.000
rs12699131 lBF = `0.104629` Chr`7` : `71,751,316`	0.000	0.997	0.003
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.003	0.997	0.000
rs10227331 lBF = `0.00843688` Chr`7` : `157,294,938`	0.003	0.997	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.003	0.997	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.003	0.997	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.003	0.997	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.003	0.997	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.002	0.997	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.002	0.998	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.002	0.998	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.002	0.998	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.002	0.998	0.000
rs117576300 lBF = `0.0302396` Chr`7` : `81,768,172`	0.000	0.998	0.002
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.998	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.998	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.002	0.998	0.000
rs17150687 lBF = `0.0011431` Chr`7` : `78,043,291`	0.002	0.998	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.002	0.998	0.000
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.002	0.998	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.002	0.998	0.000
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.000	0.998	0.001
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.002	0.998	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.000	0.998	0.001
rs7801534 lBF = `-0.00512034` Chr`7` : `49,329,680`	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
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.001	0.998	0.000
rs702485 lBF = `0.039707` Chr`7` : `6,449,272`	0.001	0.998	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.001	0.999	0.000
rs6463768 lBF = `1.85242` Chr`7` : `8,157,887`	0.001	0.999	0.000
rs2108258 lBF = `0.0454752` Chr`7` : `20,791,998`	0.000	0.999	0.001
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.001	0.999	0.000
rs1000597 lBF = `0.00750332` Chr`7` : `30,937,178`	0.000	0.999	0.001
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.001	0.999	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.001	0.999	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.001	0.999	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	0.999	0.001
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs12706411 lBF = `-0.0206784` Chr`7` : `122,065,219`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs12699683 lBF = `0.00702713` Chr`7` : `15,133,127`	0.000	0.999	0.001
rs4236644 lBF = `-0.0537881` Chr`7` : `80,599,357`	0.000	0.999	0.001
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	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
rs1534696 lBF = `-0.0927055` Chr`7` : `26,397,239`	0.000	0.999	0.001
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.001	0.999	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.001	0.999	0.000
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rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	1.000	0.000
rs13237474 lBF = `0.0196952` Chr`7` : `135,501,469`	0.000	1.000	0.000
rs740145 lBF = `0.0183006` Chr`7` : `29,921,524`	0.000	1.000	0.000
rs17347800 lBF = `0.0181544` Chr`7` : `18,517,279`	0.000	1.000	0.000
rs1918526 lBF = `0.00242736` Chr`7` : `115,138,008`	0.000	1.000	0.000
rs10274759 lBF = `0.00139421` Chr`7` : `114,914,608`	0.000	1.000	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	1.000	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.000	1.000	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	1.000	0.000
rs75045569 lBF = `-0.0440744` Chr`7` : `143,109,208`	0.000	1.000	0.000
rs11767557 lBF = `-0.0643106` Chr`7` : `143,109,139`	0.000	1.000	0.000
rs2527866 lBF = `-0.0683092` Chr`7` : `157,090,296`	0.000	1.000	0.000
rs878521 lBF = `-0.0923186` Chr`7` : `44,255,643`	0.000	1.000	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.000	1.000	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.000	1.000	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.000	1.000	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.000	1.000	0.000
rs10486567 lBF = `4.6208` Chr`7` : `27,976,563`	0.000	1.000	0.000
rs7808935 lBF = `4.52374` Chr`7` : `27,977,363`	0.000	1.000	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	1.000	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.000	1.000	0.000
rs4723619 lBF = `0.12456` Chr`7` : `37,266,352`	0.000	1.000	0.000
rs6974491 lBF = `0.112356` Chr`7` : `37,374,510`	0.000	1.000	0.000
rs148490894 lBF = `0.101087` Chr`7` : `99,531,755`	0.000	1.000	0.000
rs6583337 lBF = `0.0670563` Chr`7` : `40,483`	0.000	1.000	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	1.000	0.000
rs10953454 lBF = `0.0295221` Chr`7` : `104,503,813`	0.000	1.000	0.000
rs17170849 lBF = `0.012062` Chr`7` : `37,085,053`	0.000	1.000	0.000
rs10267337 lBF = `0.00815866` Chr`7` : `155,768,749`	0.000	1.000	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	1.000	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.000	1.000	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	1.000	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	1.000	0.000
rs2069837 lBF = `-0.0109757` Chr`7` : `22,768,027`	0.000	1.000	0.000
rs1464807 lBF = `-0.0169991` Chr`7` : `96,362,344`	0.000	1.000	0.000
rs146885652 lBF = `-0.0190973` Chr`7` : `136,172,773`	0.000	1.000	0.000
rs215738 lBF = `-0.0212849` Chr`7` : `32,444,435`	0.000	1.000	0.000
rs10263087 lBF = `-0.0367014` Chr`7` : `154,970,469`	0.000	1.000	0.000
rs10950821 lBF = `-0.101891` Chr`7` : `20,647,015`	0.000	1.000	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	1.000	0.000
rs4722675 lBF = `8.94587` Chr`7` : `27,243,962`	0.000	1.000	0.000
rs1404278 lBF = `8.61678` Chr`7` : `27,634,726`	0.000	1.000	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.000	1.000	0.000
rs10265221 lBF = `3.66302` Chr`7` : `151,414,329`	0.000	1.000	0.000
rs12019361 lBF = `0.369839` Chr`7` : `87,573,647`	0.000	1.000	0.000
rs76720445 lBF = `0.260868` Chr`7` : `1,792,396`	0.000	1.000	0.000
rs144872818 lBF = `0.168542` Chr`7` : `49,894,195`	0.000	1.000	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs117530689 lBF = `0.0449646` Chr`7` : `102,030,935`	0.000	1.000	0.000
rs11773103 lBF = `0.0352841` Chr`7` : `86,821,980`	0.000	1.000	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.000	1.000	0.000
rs188966536 lBF = `0.00983214` Chr`7` : `6,971,050`	0.000	1.000	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	1.000	0.000
rs6978230 lBF = `-0.00355241` Chr`7` : `137,529,578`	0.000	1.000	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	1.000	0.000
rs76917448 lBF = `-0.0165131` Chr`7` : `34,114,712`	0.000	1.000	0.000
rs10488031 lBF = `-0.0317988` Chr`7` : `37,076,854`	0.000	1.000	0.000
rs12531488 lBF = `-0.0477454` Chr`7` : `144,892,086`	0.000	1.000	0.000
rs3864639 lBF = `-0.0536574` Chr`7` : `76,738,591`	0.000	1.000	0.000
rs357394 lBF = `-0.073979` Chr`7` : `138,049,387`	0.000	1.000	0.000
rs211800 lBF = `-0.0907825` Chr`7` : `110,076,140`	0.000	1.000	0.000
rs2110267 lBF = `-0.104914` Chr`7` : `153,535,689`	0.000	1.000	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.000	1.000	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.000	1.000	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	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
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.000	1.000	0.000
rs4073894 lBF = `3.46096` Chr`7` : `104,466,964`	0.000	1.000	0.000
rs10953541 lBF = `0.816487` Chr`7` : `107,244,545`	0.000	1.000	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.000	1.000	0.000
rs7803454 lBF = `0.643104` Chr`7` : `99,991,548`	0.000	1.000	0.000
rs13236243 lBF = `0.450345` Chr`7` : `17,318,312`	0.000	1.000	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	1.000	0.000
rs579090 lBF = `0.156443` Chr`7` : `54,796,452`	0.000	1.000	0.000
rs3757458 lBF = `0.123124` Chr`7` : `100,881,403`	0.000	1.000	0.000
rs4724055 lBF = `0.101011` Chr`7` : `41,622,530`	0.000	1.000	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.000	1.000	0.000
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.000	1.000	0.000
rs848490 lBF = `0.0761338` Chr`7` : `77,555,005`	0.000	1.000	0.000
rs117038461 lBF = `0.0727354` Chr`7` : `99,841,354`	0.000	1.000	0.000
rs11773349 lBF = `0.0717108` Chr`7` : `64,407,164`	0.000	1.000	0.000
rs67077197 lBF = `0.0659904` Chr`7` : `79,812,826`	0.000	1.000	0.000
rs6464375 lBF = `0.0559403` Chr`7` : `153,625,843`	0.000	1.000	0.000
rs1106684 lBF = `0.0308765` Chr`7` : `131,453,665`	0.000	1.000	0.000
rs2533291 lBF = `0.0282098` Chr`7` : `157,505,654`	0.000	1.000	0.000
rs10435178 lBF = `0.0236493` Chr`7` : `46,720,711`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs7789850 lBF = `0.0146769` Chr`7` : `141,300,611`	0.000	1.000	0.000
rs1106683 lBF = `0.00913083` Chr`7` : `131,453,525`	0.000	1.000	0.000
rs7811653 lBF = `0.00460126` Chr`7` : `46,402,269`	0.000	1.000	0.000
rs6971109 lBF = `0.00451285` Chr`7` : `21,222,790`	0.000	1.000	0.000
rs7787531 lBF = `0.00424964` Chr`7` : `129,023,597`	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

0.3269

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2301

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1315

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7168

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7168

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7168

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7164

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7163

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7162

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7159

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7158

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7150

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7149

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7147

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7142

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7141

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7140

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7133

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7130

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7113

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7113

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6994

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6975

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6952

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6901

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6858

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6851

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6778

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6748

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6725

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6656

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6650

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6610

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6608

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6585

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6579

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6401

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6396

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6389

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6382

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6276

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6214

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6165

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5861

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5830

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5781

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5730

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5593

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5496

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5175

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5132

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5118

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5093

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5078

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4872

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4810

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4756

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4650

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4565

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4210

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4141

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4078

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3761

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3749

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3740

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3640

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3207

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3055

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3054

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3006

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2987

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2841

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2814

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2726

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2578

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2361

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2328

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2101

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2052

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2038

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2024

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1958

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1867

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1672

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1634

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1607

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1412

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1360

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1326

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1311

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1238

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1225

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1172

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1167

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1160

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1156

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1046

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1026

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0979

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0965

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0909

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0896

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0875

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0822

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0799

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0785

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0725

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0672

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0631

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0607

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0587

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0551

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0506

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`)