TreeWAS – [K70.3] Alcoholic cirrhosis of liver

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
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.848	0.152	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.846	0.154	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.816	0.184	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.802	0.198	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.799	0.201	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.742	0.258	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.736	0.264	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.735	0.265	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.734	0.266	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.732	0.268	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.732	0.268	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.690	0.310	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.667	0.333	0.000
rs73198345 lBF = `5.03536` Chr`7` : `87,125,643`	0.000	0.345	0.655
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.639	0.361	0.000
rs2329775 lBF = `0.458401` Chr`7` : `40,481,812`	0.632	0.368	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.629	0.371	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.623	0.377	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.615	0.385	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.611	0.389	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.605	0.395	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.600	0.400	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.597	0.403	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.594	0.406	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.583	0.417	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.583	0.417	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.574	0.426	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.568	0.432	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.552	0.448	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.549	0.451	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.533	0.467	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.520	0.480	0.000
rs3857747 lBF = `0.21683` Chr`7` : `40,361,834`	0.000	0.491	0.509
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.500	0.500	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.499	0.501	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.497	0.503	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.496	0.504	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.496	0.504	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.490	0.509	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.481	0.519	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.477	0.522	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.460	0.540	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.459	0.540	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.438	0.562	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.433	0.567	0.000
rs45554032 lBF = `17.3797` Chr`7` : `87,078,547`	0.000	0.572	0.428
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.427	0.573	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.425	0.575	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.421	0.579	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.412	0.588	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.409	0.591	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.402	0.598	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.395	0.604	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.387	0.612	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.385	0.615	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.379	0.621	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.376	0.624	0.000
rs2948276 lBF = `0.252798` Chr`7` : `96,457,119`	0.376	0.624	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.375	0.625	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.372	0.627	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.372	0.628	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.370	0.630	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.365	0.635	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.349	0.651	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.345	0.655	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.344	0.656	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.339	0.661	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.330	0.670	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.321	0.678	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.310	0.690	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.307	0.693	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.305	0.695	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.300	0.699	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.295	0.705	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.292	0.708	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.291	0.708	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.288	0.712	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.287	0.713	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.281	0.719	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.274	0.725	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.270	0.729	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.268	0.732	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.263	0.737	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.262	0.738	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.261	0.739	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.250	0.750	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.249	0.750	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`	0.241	0.759	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.240	0.760	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.231	0.769	0.000
rs10259199 lBF = `0.247294` Chr`7` : `7,848,912`	0.000	0.775	0.225
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.223	0.777	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.213	0.786	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.213	0.787	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.208	0.792	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.192	0.808	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.192	0.808	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.184	0.815	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.176	0.824	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.165	0.835	0.000
rs2888674 lBF = `0.151545` Chr`7` : `150,510,915`	0.163	0.837	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.161	0.839	0.001
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.160	0.839	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.158	0.842	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.157	0.843	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.152	0.848	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.150	0.850	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.144	0.856	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.143	0.857	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.140	0.860	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.139	0.860	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.133	0.867	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.132	0.868	0.001
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.131	0.869	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.130	0.869	0.001
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.129	0.871	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.128	0.871	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.126	0.874	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.117	0.883	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.112	0.888	0.000
rs12532960 lBF = `0.377984` Chr`7` : `42,325,625`	0.000	0.892	0.108
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.107	0.893	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.107	0.893	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.106	0.893	0.001
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.106	0.894	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.106	0.894	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.104	0.896	0.000
rs2109505 lBF = `9.11073` Chr`7` : `87,079,406`	0.000	0.897	0.103
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.101	0.899	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.099	0.901	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.098	0.902	0.000
rs4148805 lBF = `18.9159` Chr`7` : `87,106,365`	0.000	0.905	0.095
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.090	0.910	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.085	0.915	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.083	0.917	0.001
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.082	0.918	0.000
rs114945094 lBF = `-0.00580405` Chr`7` : `12,193,432`	0.082	0.918	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.078	0.922	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.065	0.933	0.002
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
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.060	0.940	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.059	0.941	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.058	0.941	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.057	0.943	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.056	0.944	0.000
rs2044831 lBF = `15.2385` Chr`7` : `37,988,589`	0.056	0.944	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.053	0.946	0.001
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.053	0.947	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.050	0.949	0.001
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.049	0.950	0.000
rs12538707 lBF = `19.6336` Chr`7` : `87,124,268`	0.000	0.952	0.048
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.047	0.952	0.000
rs3757387 lBF = `1.91512` Chr`7` : `128,576,086`	0.046	0.954	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.045	0.955	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.044	0.955	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.044	0.956	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.042	0.958	0.000
rs4148808 lBF = `18.9164` Chr`7` : `87,105,795`	0.000	0.959	0.041
rs2302387 lBF = `19.0709` Chr`7` : `87,092,185`	0.000	0.961	0.039
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.039	0.961	0.000
rs41279633 lBF = `-0.0197736` Chr`7` : `44,580,876`	0.038	0.962	0.000
rs4148807 lBF = `18.9699` Chr`7` : `87,105,812`	0.000	0.963	0.037
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.037	0.963	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.035	0.965	0.000
rs2398668 lBF = `-0.00245334` Chr`7` : `2,298,227`	0.000	0.965	0.035
rs3842 lBF = `18.0375` Chr`7` : `87,133,366`	0.000	0.965	0.035
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.034	0.965	0.000
rs2110001 lBF = `0.0503328` Chr`7` : `150,517,022`	0.034	0.966	0.000
rs12374991 lBF = `-0.0111397` Chr`7` : `11,227,942`	0.033	0.967	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.032	0.968	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.028	0.969	0.002
rs17640804 lBF = `-0.0494161` Chr`7` : `42,131,390`	0.030	0.970	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.029	0.971	0.000
rs61549860 lBF = `0.0962746` Chr`7` : `18,444,419`	0.028	0.972	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.028	0.972	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.027	0.973	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.026	0.973	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.026	0.974	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.026	0.974	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.023	0.976	0.000
rs2072183 lBF = `-0.0545491` Chr`7` : `44,579,180`	0.023	0.977	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.023	0.977	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.022	0.978	0.000
rs11525066 lBF = `-0.0347596` Chr`7` : `78,175,977`	0.000	0.979	0.021
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.020	0.980	0.000
rs2406253 lBF = `0.518246` Chr`7` : `100,077,273`	0.000	0.982	0.018
rs791595 lBF = `0.0447816` Chr`7` : `127,862,802`	0.018	0.982	0.000
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.017	0.983	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.017	0.983	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.017	0.983	0.000
rs7777593 lBF = `0.0174175` Chr`7` : `36,546,069`	0.017	0.983	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.016	0.983	0.000
rs17712049 lBF = `-0.0156929` Chr`7` : `48,266,195`	0.000	0.984	0.016
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.015	0.984	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.015	0.985	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.015	0.985	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.015	0.985	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.015	0.985	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.014	0.986	0.000
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rs10488631 lBF = `0.301576` Chr`7` : `128,594,183`	0.001	0.999	0.000
rs2390593 lBF = `-0.0351175` Chr`7` : `21,861,112`	0.001	0.999	0.000
rs6945541 lBF = `-0.0840105` Chr`7` : `68,611,960`	0.001	0.999	0.000
rs17312438 lBF = `0.0542043` Chr`7` : `85,566,476`	0.001	0.999	0.000
rs2018683 lBF = `-0.065009` Chr`7` : `29,014,195`	0.000	0.999	0.001
rs3757458 lBF = `0.123124` Chr`7` : `100,881,403`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs56357845 lBF = `-0.0143162` Chr`7` : `29,250,268`	0.000	0.999	0.001
rs13225783 lBF = `-0.0196291` Chr`7` : `27,330,056`	0.001	0.999	0.000
rs10263087 lBF = `-0.0367014` Chr`7` : `154,970,469`	0.000	0.999	0.001
rs6971925 lBF = `0.00212106` Chr`7` : `14,445,917`	0.001	0.999	0.001
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.000	0.999	0.001
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.001	0.999	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.001	0.999	0.000
rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs12539741 lBF = `0.276177` Chr`7` : `128,596,805`	0.001	0.999	0.000
rs3815148 lBF = `0.105305` Chr`7` : `106,938,420`	0.000	0.999	0.001
rs12702595 lBF = `0.0323261` Chr`7` : `7,259,270`	0.001	0.999	0.000
rs73157010 lBF = `-0.0169849` Chr`7` : `136,396,861`	0.000	0.999	0.001
rs7811653 lBF = `0.00460126` Chr`7` : `46,402,269`	0.000	0.999	0.001
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.000	0.999	0.001
rs2909678 lBF = `0.070941` Chr`7` : `131,334,001`	0.000	0.999	0.001
rs77909595 lBF = `-0.00222583` Chr`7` : `95,700,008`	0.001	0.999	0.000
rs2245368 lBF = `-0.037174` Chr`7` : `76,608,143`	0.000	0.999	0.001
rs13233571 lBF = `0.180603` Chr`7` : `72,971,231`	0.001	0.999	0.000
rs17869724 lBF = `0.0024865` Chr`7` : `126,924,704`	0.000	0.999	0.001
rs1358075 lBF = `0.00040226` Chr`7` : `146,135,938`	0.001	0.999	0.000
rs3864639 lBF = `-0.0536574` Chr`7` : `76,738,591`	0.001	0.999	0.000
rs7795747 lBF = `0.00038589` Chr`7` : `150,361,718`	0.001	0.999	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.999	0.001
rs17142462 lBF = `-0.00137129` Chr`7` : `119,606,632`	0.001	0.999	0.000
rs10250997 lBF = `1.92169` Chr`7` : `136,146,536`	0.001	0.999	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.999	0.001
rs144759648 lBF = `-0.0072668` Chr`7` : `156,736,023`	0.000	0.999	0.001
rs13437751 lBF = `-0.0237981` Chr`7` : `63,346,886`	0.000	0.999	0.001
rs11982256 lBF = `-0.0171488` Chr`7` : `86,799,441`	0.001	0.999	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.000	0.999	0.001
rs17145750 lBF = `-0.0355172` Chr`7` : `73,026,378`	0.001	0.999	0.000
rs10486158 lBF = `-0.0400806` Chr`7` : `7,399,404`	0.001	0.999	0.000
rs13245899 lBF = `1.31003` Chr`7` : `100,497,131`	0.001	0.999	0.000
rs822531 lBF = `0.0044779` Chr`7` : `148,629,759`	0.001	0.999	0.000
rs6951258 lBF = `0.00007721` Chr`7` : `37,757,556`	0.001	0.999	0.000
rs7458938 lBF = `-0.072353` Chr`7` : `125,460,648`	0.001	0.999	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.001	0.999	0.000
rs1476679 lBF = `1.97053` Chr`7` : `100,004,446`	0.000	0.999	0.001
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
rs12539793 lBF = `-0.0220807` Chr`7` : `25,971,860`	0.001	0.999	0.000
rs10243024 lBF = `0.0411072` Chr`7` : `116,346,603`	0.000	0.999	0.001
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.001	0.999	0.000
rs3914132 lBF = `-0.074479` Chr`7` : `103,527,369`	0.000	0.999	0.001
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.001	0.999	0.000
rs4721135 lBF = `0.163969` Chr`7` : `1,912,222`	0.000	0.999	0.001
rs17149161 lBF = `0.0684512` Chr`7` : `75,978,229`	0.000	0.999	0.001
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs73157032 lBF = `-0.0196123` Chr`7` : `136,428,681`	0.000	0.999	0.001
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.000	0.999	0.001
rs10155981 lBF = `-0.0302865` Chr`7` : `22,756,463`	0.000	0.999	0.001
rs13240464 lBF = `-0.0787246` Chr`7` : `110,898,915`	0.001	0.999	0.000
rs67077197 lBF = `0.0659904` Chr`7` : `79,812,826`	0.001	0.999	0.000
rs13247936 lBF = `0.600842` Chr`7` : `8,960,863`	0.001	0.999	0.000
rs13239597 lBF = `0.304706` Chr`7` : `128,695,983`	0.001	0.999	0.000
rs10486187 lBF = `0.00981245` Chr`7` : `7,779,324`	0.000	0.999	0.001
rs17135437 lBF = `0.00007711` Chr`7` : `101,115,994`	0.001	0.999	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.001	0.999	0.000
rs1636744 lBF = `0.209488` Chr`7` : `16,984,280`	0.001	0.999	0.000
rs1000597 lBF = `0.00750332` Chr`7` : `30,937,178`	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
rs13244903 lBF = `8.31999` Chr`7` : `27,688,911`	0.000	0.999	0.001
rs3752645 lBF = `0.424802` Chr`7` : `106,782,683`	0.000	0.999	0.001
rs12531711 lBF = `0.274671` Chr`7` : `128,617,466`	0.001	0.999	0.000
rs190817748 lBF = `0.00011677` Chr`7` : `52,139,578`	0.001	0.999	0.000
rs111588657 lBF = `0.00011247` Chr`7` : `52,133,803`	0.001	0.999	0.000
rs77443149 lBF = `0.00006049` Chr`7` : `97,924,554`	0.001	0.999	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.001	0.999	0.000
rs6977820 lBF = `-0.0459922` Chr`7` : `154,072,020`	0.000	0.999	0.001
rs113520408 lBF = `-0.0665791` Chr`7` : `128,402,782`	0.001	0.999	0.000
rs11767400 lBF = `0.00666734` Chr`7` : `122,160,742`	0.001	0.999	0.000
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
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
rs114174633 lBF = `0` Chr`7` : `151,706,189`	0.001	0.999	0.001
rs10428959 lBF = `0` Chr`7` : `111,677,906`	0.001	0.999	0.001
rs4732446 lBF = `0` Chr`7` : `82,002,217`	0.001	0.999	0.001
rs145460587 lBF = `0` Chr`7` : `53,441,569`	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
rs6977715 lBF = `0` Chr`7` : `154,169,002`	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
rs189909051 lBF = `0` Chr`7` : `151,731,803`	0.001	0.999	0.001
rs146622168 lBF = `0` Chr`7` : `34,937,537`	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
rs191729664 lBF = `0` Chr`7` : `125,652,599`	0.001	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.5502

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.0824

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9995

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9991

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9976

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9969

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9967

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9963

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9937

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9921

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9902

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9886

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9837

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9830

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9825

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9787

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9764

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9756

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9731

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9725

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9674

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9593

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9590

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9588

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9570

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9544

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9536

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9491

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9491

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9468

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9446

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9371

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9205

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9192

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9187

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9181

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9167

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9122

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9040

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9038

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9014

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9013

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8958

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8941

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8799

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8773

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8766

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8738

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.8660

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8613

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8598

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8553

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8458

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8384

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8383

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8266

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8137

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8045

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7983

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7851

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7810

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7741

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7738

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7709

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7633

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7631

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7587

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7511

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7494

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7433

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7393

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7393

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7317

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7189

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7150

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7098

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7090

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7009

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6824

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6748

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6720

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6679

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6648

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6468

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6259

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6232

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6147

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5829

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5772

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5751

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5606

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5223

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5192

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5144

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5067

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4974

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4970

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4778

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4626

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4533

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4403

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4400

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4324

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4229

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.4194

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3800

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3777

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3754

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3749

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3496

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3401

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3365

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3315

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3277

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3269

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3218

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3216

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3150

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2801

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2694

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2681

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2535

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2503

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2460

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2414

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2408

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2361

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2063

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2032

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1910

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1892

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1886

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1675

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1670

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1521

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1316

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1287

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1282

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1220

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1218

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1137

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1102

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0999

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0954

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0791

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0690

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0638

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0611

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0542

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`)