TreeWAS – [K05] Gingivitis and periodontal diseases

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K05

Gingivitis and periodontal diseases

Parent term	K00-K14 Diseases of oral cavity, salivary glands and jaws
Nested terms	K05.0 Acute gingivitis K05.1 Chronic gingivitis K05.3 Chronic periodontitis K05.4 Periodontosis K05.5 Other periodontal diseases K05.6 Periodontal disease, unspecified K05.2 Acute periodontitis

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Variant effects

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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
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.911	0.089	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.895	0.105	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.803	0.197	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.794	0.206	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.794	0.206	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.775	0.225	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.771	0.229	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.759	0.241	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.749	0.251	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.740	0.260	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.734	0.266	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.726	0.273	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.705	0.295	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.703	0.297	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.701	0.299	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.698	0.302	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.690	0.310	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.684	0.316	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.679	0.321	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.676	0.324	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.673	0.327	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.669	0.331	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.653	0.347	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.642	0.358	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.642	0.358	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.632	0.367	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.626	0.374	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.613	0.387	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.612	0.388	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.609	0.391	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.605	0.395	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.594	0.406	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.591	0.409	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.589	0.411	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.585	0.414	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.568	0.432	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.564	0.436	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.550	0.449	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.548	0.451	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.546	0.453	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.538	0.461	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.529	0.471	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.525	0.475	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.519	0.481	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.508	0.491	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.496	0.504	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.477	0.523	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.458	0.542	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.452	0.548	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.438	0.562	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.435	0.565	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.434	0.566	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.427	0.573	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.426	0.574	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.422	0.578	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.421	0.578	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.421	0.579	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.400	0.600	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.394	0.606	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.384	0.616	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.382	0.618	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.375	0.625	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.374	0.626	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.365	0.635	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.364	0.636	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.362	0.638	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.357	0.643	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.356	0.643	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.356	0.644	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.355	0.644	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.355	0.645	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.351	0.649	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.338	0.662	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.338	0.662	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.331	0.669	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.328	0.671	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.327	0.673	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.323	0.677	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.319	0.681	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.316	0.684	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.315	0.684	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.314	0.686	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.309	0.691	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.305	0.695	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.300	0.700	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.299	0.700	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.280	0.720	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.271	0.729	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.270	0.730	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.265	0.735	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.263	0.737	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.257	0.743	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.251	0.748	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.251	0.749	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.249	0.751	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.244	0.756	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.241	0.759	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.240	0.759	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.238	0.762	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.235	0.765	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.223	0.776	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.221	0.778	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.220	0.780	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.215	0.785	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.209	0.790	0.001
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.157	0.842	0.001
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.158	0.842	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.156	0.844	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.150	0.850	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.146	0.854	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.143	0.857	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.139	0.861	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.130	0.870	0.000
rs11765845 lBF = `0.0405264` Chr`7` : `28,391,142`	0.127	0.873	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.125	0.875	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.121	0.879	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.108	0.891	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.103	0.896	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.102	0.898	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.102	0.898	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.099	0.901	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.095	0.905	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.093	0.907	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.091	0.909	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.081	0.918	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.081	0.919	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.081	0.919	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.068	0.931	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.067	0.933	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.065	0.935	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.065	0.935	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.064	0.935	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.063	0.937	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.056	0.943	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.055	0.945	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.947	0.053
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.053	0.947	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.048	0.951	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.046	0.954	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.044	0.955	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.040	0.959	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.040	0.960	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.040	0.960	0.000
rs73198345 lBF = `5.03536` Chr`7` : `87,125,643`	0.000	0.961	0.039
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.038	0.962	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.035	0.964	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.033	0.967	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.033	0.967	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.030	0.969	0.001
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.030	0.970	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.029	0.971	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.026	0.973	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.025	0.975	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.025	0.975	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.025	0.975	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.023	0.977	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.023	0.977	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.022	0.978	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.021	0.979	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.021	0.979	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.020	0.980	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.020	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.980	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.018	0.982	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.018	0.982	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.018	0.982	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.017	0.983	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.016	0.984	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.016	0.984	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.016	0.984	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.012	0.988	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.012	0.988	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.011	0.988	0.000
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.000	0.989	0.011
rs10274279 lBF = `-0.0023117` Chr`7` : `157,387,441`	0.011	0.989	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.011	0.989	0.000
rs10486715 lBF = `0.636577` Chr`7` : `41,478,608`	0.009	0.990	0.000
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.010	0.990	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.009	0.991	0.000
rs13437751 lBF = `-0.0237981` Chr`7` : `63,346,886`	0.009	0.991	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.008	0.992	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.008	0.992	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.008	0.992	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.008	0.992	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.008	0.992	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.007	0.993	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.993	0.000
rs7792596 lBF = `1.06288` Chr`7` : `94,009,634`	0.006	0.994	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.006	0.994	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.006	0.994	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.006	0.994	0.000
rs28581422 lBF = `0.0287139` Chr`7` : `121,258,371`	0.006	0.994	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.006	0.994	0.000
rs6943555 lBF = `0.36036` Chr`7` : `69,806,023`	0.000	0.994	0.006
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.005	0.994	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.006	0.994	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.005	0.994	0.000
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rs2227667 lBF = `-0.0212721` Chr`7` : `100,774,749`	0.001	0.999	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.001	0.999	0.000
rs17166082 lBF = `-0.0037196` Chr`7` : `131,713,360`	0.001	0.999	0.000
rs113527903 lBF = `-0.00514283` Chr`7` : `77,838,510`	0.001	0.999	0.000
rs7776725 lBF = `14.8756` Chr`7` : `121,033,121`	0.001	0.999	0.000
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.001	0.999	0.000
rs2724013 lBF = `-0.042152` Chr`7` : `37,389,310`	0.000	0.999	0.001
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.000	0.999	0.001
rs2530545 lBF = `-0.0195453` Chr`7` : `34,697,140`	0.000	0.999	0.001
rs13238203 lBF = `0.0112571` Chr`7` : `72,129,667`	0.001	0.999	0.000
rs10255299 lBF = `-0.016499` Chr`7` : `111,527,560`	0.001	0.999	0.000
rs145241704 lBF = `-0.0408507` Chr`7` : `141,505,087`	0.001	0.999	0.000
rs10241865 lBF = `5.23716` Chr`7` : `102,527,517`	0.000	0.999	0.001
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	0.999	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	0.999	0.000
rs2530544 lBF = `-0.0302503` Chr`7` : `34,697,060`	0.000	0.999	0.001
rs4723738 lBF = `-0.0443467` Chr`7` : `38,240,908`	0.001	0.999	0.000
rs10267417 lBF = `-0.061366` Chr`7` : `19,843,797`	0.000	0.999	0.001
rs12669076 lBF = `-0.0681948` Chr`7` : `96,415,055`	0.001	0.999	0.000
rs2708240 lBF = `-0.0926068` Chr`7` : `147,577,537`	0.001	0.999	0.000
rs1008126 lBF = `-0.094235` Chr`7` : `103,175,444`	0.001	0.999	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.000	0.999	0.001
rs4549702 lBF = `1.61489` Chr`7` : `147,901,016`	0.000	0.999	0.001
rs1874326 lBF = `0.0627007` Chr`7` : `138,157,390`	0.000	0.999	0.001
rs4727443 lBF = `-0.00431765` Chr`7` : `99,593,346`	0.001	0.999	0.000
rs112509803 lBF = `-0.0535342` Chr`7` : `24,735,004`	0.001	0.999	0.000
rs10487245 lBF = `0.0502743` Chr`7` : `93,713,521`	0.000	0.999	0.001
rs11975386 lBF = `0.03953` Chr`7` : `93,705,033`	0.000	0.999	0.001
rs4722675 lBF = `8.94587` Chr`7` : `27,243,962`	0.001	0.999	0.000
rs10488023 lBF = `0.460197` Chr`7` : `36,952,021`	0.001	0.999	0.000
rs2538470 lBF = `0.343746` Chr`7` : `148,220,448`	0.001	0.999	0.000
rs35681285 lBF = `0.337815` Chr`7` : `16,326,646`	0.001	0.999	0.000
rs10256972 lBF = `0.0795853` Chr`7` : `1,039,003`	0.000	0.999	0.001
rs73060317 lBF = `0.00410874` Chr`7` : `21,520,212`	0.001	0.999	0.000
rs11978267 lBF = `-0.0496632` Chr`7` : `50,466,304`	0.000	0.999	0.001
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.001	0.999	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.001	0.999	0.000
rs6462411 lBF = `0.00992516` Chr`7` : `3,915,564`	0.000	0.999	0.001
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.000	0.999	0.000
rs116927879 lBF = `0.32964` Chr`7` : `45,864,727`	0.000	0.999	0.001
rs12699477 lBF = `0.00936091` Chr`7` : `1,968,953`	0.000	0.999	0.001
rs58370486 lBF = `-0.025875` Chr`7` : `16,707,861`	0.000	0.999	0.000
rs740083 lBF = `-0.0462659` Chr`7` : `49,469,003`	0.000	0.999	0.001
rs11980379 lBF = `-0.0532557` Chr`7` : `50,469,981`	0.000	0.999	0.001
rs4132601 lBF = `-0.0540788` Chr`7` : `50,470,604`	0.000	0.999	0.001
rs1799922 lBF = `-0.0993712` Chr`7` : `128,415,195`	0.000	0.999	0.001
rs7776701 lBF = `0.310001` Chr`7` : `47,442,633`	0.000	0.999	0.001
rs4722404 lBF = `0.0655508` Chr`7` : `3,128,789`	0.001	0.999	0.000
rs1178326 lBF = `0.0154231` Chr`7` : `18,234,857`	0.000	0.999	0.000
rs73082373 lBF = `0.00982802` Chr`7` : `22,994,186`	0.000	0.999	0.000
rs1801085 lBF = `0.234665` Chr`7` : `27,168,590`	0.000	0.999	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	0.999	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	0.999	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.000	0.999	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.000	0.999	0.000
rs73099645 lBF = `0.213252` Chr`7` : `43,226,641`	0.000	0.999	0.000
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.000	0.999	0.000
rs6974491 lBF = `0.112356` Chr`7` : `37,374,510`	0.000	0.999	0.000
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.000	0.999	0.000
rs34610745 lBF = `0.074074` Chr`7` : `43,334,575`	0.000	0.999	0.000
rs73098786 lBF = `0.057661` Chr`7` : `35,022,971`	0.000	0.999	0.000
rs6956740 lBF = `-0.00046026` Chr`7` : `45,903,807`	0.000	0.999	0.000
rs215738 lBF = `-0.0212849` Chr`7` : `32,444,435`	0.000	0.999	0.000
rs11185603 lBF = `-0.0567723` Chr`7` : `50,306,810`	0.000	0.999	0.000
rs3735533 lBF = `9.47729` Chr`7` : `27,245,893`	0.000	1.000	0.000
rs10464366 lBF = `0.147212` Chr`7` : `39,121,500`	0.000	1.000	0.000
rs10226308 lBF = `0.026681` Chr`7` : `37,938,422`	0.000	1.000	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	1.000	0.000
rs38152 lBF = `0.0173628` Chr`7` : `20,047,575`	0.000	1.000	0.000
rs1558477 lBF = `-0.0769948` Chr`7` : `31,155,347`	0.000	1.000	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.000	1.000	0.000
rs847649 lBF = `3.41361` Chr`7` : `102,556,011`	0.000	1.000	0.000
rs4294134 lBF = `0.553239` Chr`7` : `135,293,128`	0.000	1.000	0.000
rs4727012 lBF = `0.285571` Chr`7` : `148,740,493`	0.000	1.000	0.000
rs2709505 lBF = `0.0314898` Chr`7` : `114,596,841`	0.000	1.000	0.000
rs7788657 lBF = `-0.0132731` Chr`7` : `13,922,141`	0.000	1.000	0.000
rs2286492 lBF = `-0.021858` Chr`7` : `22,985,010`	0.000	1.000	0.000
rs4917014 lBF = `-0.0588672` Chr`7` : `50,305,863`	0.000	1.000	0.000
rs11772815 lBF = `-0.0828487` Chr`7` : `28,391,047`	0.000	1.000	0.000
rs10236696 lBF = `-0.0925623` Chr`7` : `77,681,379`	0.000	1.000	0.000
rs11760485 lBF = `-0.0955638` Chr`7` : `4,401,550`	0.000	1.000	0.000
rs11984041 lBF = `12.4243` Chr`7` : `19,031,935`	0.000	1.000	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.000	1.000	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	1.000	0.000
rs12532960 lBF = `0.377984` Chr`7` : `42,325,625`	0.000	1.000	0.000
rs769111 lBF = `0.116788` Chr`7` : `12,059,806`	0.000	1.000	0.000
rs3757840 lBF = `0.10859` Chr`7` : `44,231,216`	0.000	1.000	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	1.000	0.000
rs6961611 lBF = `0.0358141` Chr`7` : `67,426,323`	0.000	1.000	0.000
rs6955651 lBF = `0.0246413` Chr`7` : `76,639,871`	0.000	1.000	0.000
rs62496419 lBF = `0.00715181` Chr`7` : `96,979,659`	0.000	1.000	0.000
rs11982256 lBF = `-0.0171488` Chr`7` : `86,799,441`	0.000	1.000	0.000
rs11766496 lBF = `-0.0192091` Chr`7` : `71,388,850`	0.000	1.000	0.000
rs76405237 lBF = `-0.0233632` Chr`7` : `140,970,819`	0.000	1.000	0.000
rs4722750 lBF = `-0.0355172` Chr`7` : `28,004,198`	0.000	1.000	0.000
rs7779018 lBF = `-0.0440286` Chr`7` : `121,950,965`	0.000	1.000	0.000
rs2159222 lBF = `-0.0532634` Chr`7` : `15,758,000`	0.000	1.000	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.000	1.000	0.000
rs60580184 lBF = `0.912577` Chr`7` : `138,850,967`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9996

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9986

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9969

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9949

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9943

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9921

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9865

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9820

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9818

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9791

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9728

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9724

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9718

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9714

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9706

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9701

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9688

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9622

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9618

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9567

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9547

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9531

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9461

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9449

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9362

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9348

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9298

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9259

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9242

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9237

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9228

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9177

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9176

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9163

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9148

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9134

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9085

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9078

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9073

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9010

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9004

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8972

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8966

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8964

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8890

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8866

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8848

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8843

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8838

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8821

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8815

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8759

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8643

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8567

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8527

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8497

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8454

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8441

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8434

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8423

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8416

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8406

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8365

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8353

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8311

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8215

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8194

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8191

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8178

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8038

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7883

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7802

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7754

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7737

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7648

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7541

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7299

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7270

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7251

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7238

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7207

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7204

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7197

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7065

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6957

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6883

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6878

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6848

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6825

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6763

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6694

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6614

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6610

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6610

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6578

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6517

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6421

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6325

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6273

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6215

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6173

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6170

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6129

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6117

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6102

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6068

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6002

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5898

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5760

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5718

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5516

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5465

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5447

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5343

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5308

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5302

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5282

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5079

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5020

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5018

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4987

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4967

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4815

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4756

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4716

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4680

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4576

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4546

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4214

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4041

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3823

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3669

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3395

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2572

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2275

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1956

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1554

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1376

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1221

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0843

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0776

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0739

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0579

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0553

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)

Hospitalization Episode Statistics (`HES`)