TreeWAS – [K75.8] Other specified inflammatory liver 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
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.749	0.251	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.718	0.282	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.700	0.300	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.669	0.331	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.650	0.350	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.645	0.354	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.632	0.368	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.612	0.388	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.569	0.431	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.563	0.437	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.558	0.441	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.556	0.444	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.555	0.444	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.553	0.446	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.549	0.451	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.546	0.453	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.543	0.457	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.543	0.457	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.540	0.460	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.540	0.460	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.538	0.462	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.533	0.467	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.530	0.470	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.529	0.471	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.524	0.476	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.516	0.484	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.516	0.484	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.516	0.484	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.514	0.485	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.513	0.487	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.510	0.489	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.510	0.489	0.000
rs73198345 lBF = `5.03536` Chr`7` : `87,125,643`	0.000	0.490	0.510
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.505	0.495	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.501	0.499	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.500	0.500	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.494	0.506	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.493	0.507	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.486	0.513	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.470	0.530	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.469	0.531	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.468	0.532	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.460	0.540	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.452	0.548	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.445	0.554	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.439	0.561	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.438	0.562	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.428	0.571	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.426	0.574	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.418	0.582	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.408	0.592	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.397	0.603	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.394	0.606	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.388	0.612	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.387	0.613	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.375	0.625	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.372	0.628	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.365	0.635	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.364	0.635	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.351	0.648	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.349	0.650	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.348	0.652	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.346	0.654	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.345	0.654	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.336	0.664	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.330	0.670	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.329	0.671	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.323	0.676	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.317	0.683	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.316	0.684	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.315	0.685	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.310	0.689	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.310	0.690	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.305	0.695	0.000
rs2948276 lBF = `0.252798` Chr`7` : `96,457,119`	0.286	0.714	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.286	0.714	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.285	0.715	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.275	0.724	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.268	0.732	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.265	0.735	0.000
rs10259199 lBF = `0.247294` Chr`7` : `7,848,912`	0.000	0.741	0.259
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.256	0.743	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.250	0.750	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.245	0.754	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.243	0.757	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.232	0.768	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.229	0.771	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.220	0.780	0.000
rs45554032 lBF = `17.3797` Chr`7` : `87,078,547`	0.000	0.781	0.219
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.209	0.790	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.209	0.791	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.209	0.791	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.208	0.792	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.202	0.798	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.197	0.803	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.193	0.806	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.191	0.809	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.184	0.815	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.183	0.817	0.001
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.183	0.817	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.181	0.818	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.181	0.819	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.171	0.829	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.167	0.833	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.164	0.836	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.161	0.839	0.000
rs3757387 lBF = `1.91512` Chr`7` : `128,576,086`	0.160	0.840	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.156	0.843	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.155	0.845	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.147	0.853	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.145	0.855	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.141	0.859	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.136	0.864	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.135	0.865	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.134	0.865	0.001
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.134	0.866	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.133	0.867	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.133	0.867	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.130	0.870	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.124	0.876	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.123	0.877	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.119	0.881	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.118	0.882	0.000
rs2329775 lBF = `0.458401` Chr`7` : `40,481,812`	0.112	0.888	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.111	0.889	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.103	0.897	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.102	0.897	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.102	0.897	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.101	0.899	0.000
rs4728142 lBF = `0.523948` Chr`7` : `128,573,967`	0.095	0.905	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.088	0.912	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.087	0.913	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.084	0.915	0.001
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.083	0.916	0.001
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.079	0.920	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.077	0.923	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.077	0.923	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.075	0.925	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.073	0.926	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.071	0.928	0.000
rs7777593 lBF = `0.0174175` Chr`7` : `36,546,069`	0.070	0.930	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.069	0.931	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.065	0.935	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.938	0.062
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.062	0.938	0.000
rs3857747 lBF = `0.21683` Chr`7` : `40,361,834`	0.000	0.938	0.061
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.059	0.941	0.000
rs2109505 lBF = `9.11073` Chr`7` : `87,079,406`	0.000	0.942	0.058
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.058	0.942	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.053	0.947	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.051	0.949	0.000
rs4148805 lBF = `18.9159` Chr`7` : `87,106,365`	0.000	0.950	0.050
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.049	0.950	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.048	0.951	0.001
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.048	0.951	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.045	0.955	0.000
rs2888674 lBF = `0.151545` Chr`7` : `150,510,915`	0.045	0.955	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.041	0.959	0.000
rs12532960 lBF = `0.377984` Chr`7` : `42,325,625`	0.000	0.961	0.039
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.038	0.961	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.035	0.965	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.035	0.965	0.000
rs11525066 lBF = `-0.0347596` Chr`7` : `78,175,977`	0.000	0.966	0.034
rs2406253 lBF = `0.518246` Chr`7` : `100,077,273`	0.000	0.967	0.033
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.032	0.968	0.000
rs38313 lBF = `-0.0296711` Chr`7` : `70,067,679`	0.000	0.969	0.031
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.030	0.970	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.030	0.970	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.029	0.971	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.027	0.973	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.026	0.973	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.027	0.973	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.026	0.974	0.000
rs12538707 lBF = `19.6336` Chr`7` : `87,124,268`	0.000	0.976	0.024
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.024	0.976	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.024	0.976	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.022	0.978	0.000
rs61549860 lBF = `0.0962746` Chr`7` : `18,444,419`	0.022	0.978	0.000
rs4148808 lBF = `18.9164` Chr`7` : `87,105,795`	0.000	0.978	0.022
rs2302387 lBF = `19.0709` Chr`7` : `87,092,185`	0.000	0.979	0.021
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.021	0.979	0.000
rs2908197 lBF = `-0.0925697` Chr`7` : `75,937,049`	0.020	0.980	0.000
rs7803454 lBF = `0.643104` Chr`7` : `99,991,548`	0.000	0.980	0.020
rs4148807 lBF = `18.9699` Chr`7` : `87,105,812`	0.000	0.980	0.020
rs2044831 lBF = `15.2385` Chr`7` : `37,988,589`	0.019	0.981	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.019	0.981	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.019	0.981	0.000
rs3842 lBF = `18.0375` Chr`7` : `87,133,366`	0.000	0.982	0.018
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.018	0.982	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.017	0.982	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.017	0.983	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.017	0.983	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.017	0.983	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.016	0.984	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.015	0.985	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.014	0.985	0.001
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.014	0.986	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.014	0.986	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.014	0.986	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.014	0.986	0.000
rs114945094 lBF = `-0.00580405` Chr`7` : `12,193,432`	0.014	0.986	0.000
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rs6951258 lBF = `0.00007721` Chr`7` : `37,757,556`	0.001	0.999	0.000
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.001	0.999	0.000
rs2282930 lBF = `-0.0587657` Chr`7` : `50,754,679`	0.001	0.999	0.000
rs357394 lBF = `-0.073979` Chr`7` : `138,049,387`	0.000	0.999	0.001
rs10486607 lBF = `0.841971` Chr`7` : `29,184,489`	0.001	0.999	0.000
rs17364464 lBF = `0.0564581` Chr`7` : `22,514,053`	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
rs41279633 lBF = `-0.0197736` Chr`7` : `44,580,876`	0.001	0.999	0.001
rs2243480 lBF = `0.0740969` Chr`7` : `65,599,196`	0.001	0.999	0.000
rs4470914 lBF = `-0.0640682` Chr`7` : `19,616,522`	0.000	0.999	0.001
rs2282978 lBF = `0.0967275` Chr`7` : `92,264,410`	0.000	0.999	0.001
rs1499614 lBF = `0.0885592` Chr`7` : `65,730,798`	0.000	0.999	0.001
rs4629772 lBF = `0.00638607` Chr`7` : `152,823,816`	0.000	0.999	0.001
rs1722141 lBF = `0.253586` Chr`7` : `46,016,662`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs36109662 lBF = `-0.0222975` Chr`7` : `104,083,702`	0.001	0.999	0.000
rs12702661 lBF = `-0.0320217` Chr`7` : `7,864,751`	0.000	0.999	0.001
rs1195218 lBF = `-0.0423319` Chr`7` : `68,624,342`	0.000	0.999	0.001
rs1595014 lBF = `-0.0588072` Chr`7` : `12,188,529`	0.001	0.999	0.000
rs10488172 lBF = `0.74869` Chr`7` : `133,335,176`	0.000	0.999	0.001
rs6967385 lBF = `-0.115256` Chr`7` : `12,391,319`	0.001	0.999	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.001	0.999	0.000
rs758944 lBF = `0.0139903` Chr`7` : `75,953,297`	0.001	0.999	0.000
rs17135437 lBF = `0.00007711` Chr`7` : `101,115,994`	0.001	0.999	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.001	0.999	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.999	0.001
rs7779014 lBF = `0.00757953` Chr`7` : `75,975,586`	0.001	0.999	0.000
rs11770757 lBF = `0.00015366` Chr`7` : `133,747,946`	0.001	0.999	0.000
rs190130937 lBF = `0.00002823` Chr`7` : `13,111,178`	0.001	0.999	0.000
rs17166082 lBF = `-0.0037196` Chr`7` : `131,713,360`	0.000	0.999	0.001
rs11771429 lBF = `-0.0353625` Chr`7` : `153,271,877`	0.001	0.999	0.000
rs6961611 lBF = `0.0358141` Chr`7` : `67,426,323`	0.001	0.999	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	0.999	0.001
rs1404697 lBF = `0.00334884` Chr`7` : `108,544,461`	0.000	0.999	0.001
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
rs77443149 lBF = `0.00006049` Chr`7` : `97,924,554`	0.001	0.999	0.000
rs9918508 lBF = `-0.0119322` Chr`7` : `9,539,279`	0.001	0.999	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.000	0.999	0.001
rs11564024 lBF = `0.00008225` Chr`7` : `27,335,561`	0.001	0.999	0.000
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
rs185746565 lBF = `0` Chr`7` : `135,260,049`	0.001	0.999	0.001
rs149774937 lBF = `0` Chr`7` : `151,737,020`	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
rs149069622 lBF = `0` Chr`7` : `151,749,259`	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
rs147962389 lBF = `0` Chr`7` : `151,730,891`	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
rs183464040 lBF = `0` Chr`7` : `125,610,713`	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
rs192462116 lBF = `0` Chr`7` : `94,767,406`	0.001	0.999	0.001
rs141892389 lBF = `0` Chr`7` : `151,716,711`	0.001	0.999	0.001
rs188324495 lBF = `0` Chr`7` : `7,195,467`	0.001	0.999	0.001
rs183600932 lBF = `0` Chr`7` : `11,058,396`	0.001	0.999	0.001
rs114302618 lBF = `0` Chr`7` : `93,967,060`	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
rs4732446 lBF = `0` Chr`7` : `82,002,217`	0.001	0.999	0.001
rs10428959 lBF = `0` Chr`7` : `111,677,906`	0.001	0.999	0.001
rs145460587 lBF = `0` Chr`7` : `53,441,569`	0.001	0.999	0.001
rs114174633 lBF = `0` Chr`7` : `151,706,189`	0.001	0.999	0.001
rs115605431 lBF = `0` Chr`7` : `3,221,648`	0.001	0.999	0.001
rs11982969 lBF = `0` Chr`7` : `142,141,746`	0.001	0.999	0.001
rs140817150 lBF = `0` Chr`7` : `13,396,630`	0.001	0.999	0.001
rs9771228 lBF = `0` Chr`7` : `32,322,496`	0.001	0.999	0.001
rs146622168 lBF = `0` Chr`7` : `34,937,537`	0.001	0.999	0.001
rs6977715 lBF = `0` Chr`7` : `154,169,002`	0.001	0.999	0.001
rs189909051 lBF = `0` Chr`7` : `151,731,803`	0.001	0.999	0.001
rs191729664 lBF = `0` Chr`7` : `125,652,599`	0.001	0.999	0.001
rs139557951 lBF = `0` Chr`7` : `151,748,474`	0.001	0.999	0.001
rs188593748 lBF = `0` Chr`7` : `108,157,222`	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
rs188061594 lBF = `0` Chr`7` : `151,729,217`	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
rs886448 lBF = `0` Chr`7` : `24,240,165`	0.001	0.999	0.001
rs114004118 lBF = `0` Chr`7` : `151,742,102`	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
rs185205268 lBF = `0` Chr`7` : `144,075,117`	0.001	0.999	0.001
rs74629737 lBF = `0` Chr`7` : `34,093,454`	0.001	0.999	0.001
rs182033693 lBF = `0` Chr`7` : `70,622,427`	0.001	0.999	0.001
rs148376973 lBF = `0` Chr`7` : `151,739,270`	0.001	0.999	0.001
rs430 lBF = `-0.00015733` Chr`7` : `19,106,539`	0.001	0.999	0.000
rs7789940 lBF = `-0.00322984` Chr`7` : `75,951,230`	0.001	0.999	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.001	0.999	0.000
rs7803069 lBF = `5.28469` Chr`7` : `34,238,688`	0.001	0.999	0.000
rs6961860 lBF = `0.0249401` Chr`7` : `17,085,321`	0.001	0.999	0.000
rs7787531 lBF = `0.00424964` Chr`7` : `129,023,597`	0.000	0.999	0.001
rs60839105 lBF = `-0.00002822` Chr`7` : `80,492,357`	0.001	0.999	0.000
rs6459680 lBF = `-0.0412285` Chr`7` : `156,258,568`	0.001	0.999	0.000
rs848353 lBF = `-0.00466802` Chr`7` : `108,548,660`	0.000	0.999	0.001

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 X0086

log Bayes Factor = 131.002

contains 8 variants

0.1215

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0532

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9979

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.9935

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9935

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9922

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9853

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9850

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9845

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9836

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9825

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9800

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9738

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9735

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9729

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9722

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9716

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9716

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9708

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9653

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9647

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9626

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9557

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9521

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9519

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9466

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9401

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9380

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9380

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9365

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9306

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9280

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9270

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9249

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9193

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9152

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9108

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9042

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9033

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8981

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8970

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8925

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8908

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8865

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8825

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8804

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8780

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8756

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8706

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8695

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8688

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8687

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8677

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8658

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8546

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8503

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8410

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8393

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8285

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8281

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8200

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8151

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8135

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8057

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7981

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7812

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7763

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7753

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7693

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7669

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7654

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7606

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7502

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7435

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7351

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7340

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7295

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7268

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7237

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7225

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7174

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7146

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7139

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7101

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7048

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7043

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6980

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6953

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6857

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6802

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6754

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6467

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6394

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6382

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6271

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6229

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6126

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6108

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6052

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5939

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5892

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5888

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5885

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5756

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5225

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5205

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5110

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4943

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4876

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4442

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4277

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4234

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4078

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3949

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3844

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3769

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3595

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3594

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3487

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3468

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3442

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3427

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3348

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3258

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3109

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3051

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2996

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2993

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2729

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2723

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2609

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2524

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2472

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2448

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2176

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1972

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1865

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1821

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1691

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1592

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1485

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1439

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1247

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1093

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1076

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1009

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0914

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0877

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0866

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0795

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0786

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0739

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0563

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0539

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0533

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`)