TreeWAS – [K38] Other diseases of appendix

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K38

Other diseases of appendix

Parent term	K35-K38 Diseases of appendix
Nested terms	K38.0 Hyperplasia of appendix K38.1 Appendicular concretions K38.2 Diverticulum of appendix K38.3 Fistula of appendix K38.8 Other specified diseases of appendix K38.9 Disease of appendix, unspecified

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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
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.782	0.218	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.772	0.227	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.750	0.250	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.736	0.264	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.733	0.267	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.732	0.268	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.728	0.272	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.728	0.272	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.675	0.325	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.673	0.327	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.673	0.327	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.661	0.339	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.653	0.347	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.648	0.352	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.648	0.352	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.641	0.358	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.640	0.360	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.617	0.382	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.611	0.389	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.600	0.400	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.600	0.400	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.592	0.407	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.586	0.414	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.556	0.444	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.553	0.447	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.539	0.461	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.536	0.463	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.534	0.466	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.528	0.472	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.523	0.477	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.522	0.478	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.521	0.479	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.515	0.485	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.508	0.491	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.506	0.493	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.500	0.500	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.497	0.503	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.494	0.506	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.492	0.508	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.491	0.509	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.489	0.511	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.488	0.512	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.484	0.516	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.484	0.516	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.483	0.517	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.480	0.519	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.480	0.520	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.480	0.520	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.475	0.525	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.474	0.526	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.470	0.530	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.469	0.530	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.467	0.533	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.462	0.538	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.459	0.541	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.453	0.547	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.448	0.551	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.444	0.555	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.437	0.563	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.435	0.565	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.432	0.567	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.431	0.569	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.427	0.572	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.422	0.578	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.419	0.581	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.414	0.585	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.393	0.607	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.391	0.609	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.389	0.611	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.386	0.614	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.383	0.616	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.374	0.626	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.373	0.627	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.369	0.631	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.361	0.639	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.349	0.651	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.337	0.663	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.336	0.664	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.331	0.669	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.326	0.674	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.318	0.682	0.001
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.303	0.697	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.294	0.706	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.293	0.707	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.291	0.708	0.001
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.285	0.715	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.280	0.720	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.271	0.729	0.001
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.269	0.730	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.268	0.732	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.268	0.732	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.264	0.736	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.262	0.738	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.261	0.739	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.258	0.742	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.250	0.750	0.001
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.243	0.757	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.232	0.768	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.230	0.770	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.230	0.770	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.210	0.790	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.206	0.793	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.204	0.796	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.202	0.797	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.201	0.799	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.192	0.808	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.190	0.810	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.187	0.813	0.000
rs73198345 lBF = `5.03536` Chr`7` : `87,125,643`	0.000	0.814	0.186
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.182	0.817	0.001
rs1106684 lBF = `0.0308765` Chr`7` : `131,453,665`	0.171	0.829	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.170	0.830	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.169	0.831	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.167	0.833	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.165	0.835	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.164	0.836	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.161	0.838	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.158	0.842	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.149	0.850	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.143	0.856	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.143	0.857	0.000
rs1106683 lBF = `0.00913083` Chr`7` : `131,453,525`	0.134	0.866	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.124	0.875	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.120	0.880	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.120	0.880	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.119	0.881	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.097	0.903	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.091	0.909	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.091	0.909	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.089	0.911	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.089	0.911	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.083	0.917	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.082	0.917	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.082	0.918	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.077	0.923	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.076	0.923	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.071	0.929	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.070	0.930	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.068	0.931	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.067	0.933	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.067	0.933	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.066	0.933	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.065	0.935	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.063	0.936	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.062	0.938	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.001	0.944	0.056
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.053	0.947	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.051	0.948	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.045	0.955	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.043	0.957	0.000
rs45554032 lBF = `17.3797` Chr`7` : `87,078,547`	0.001	0.957	0.043
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.039	0.958	0.003
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.040	0.959	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.040	0.960	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.037	0.963	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.036	0.963	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.035	0.964	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.034	0.966	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.031	0.969	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.030	0.970	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.028	0.972	0.000
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.027	0.973	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.026	0.974	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.025	0.975	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.023	0.977	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.022	0.977	0.000
rs2968863 lBF = `0.217834` Chr`7` : `150,623,137`	0.000	0.977	0.023
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.022	0.978	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.022	0.978	0.000
rs3757387 lBF = `1.91512` Chr`7` : `128,576,086`	0.022	0.978	0.000
rs2968864 lBF = `0.20783` Chr`7` : `150,622,162`	0.000	0.978	0.022
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.021	0.979	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.021	0.979	0.001
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.021	0.979	0.000
rs245880 lBF = `0.125176` Chr`7` : `29,186,256`	0.021	0.979	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.021	0.979	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.021	0.979	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.020	0.980	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.019	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.980	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.019	0.981	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.019	0.981	0.000
rs2109505 lBF = `9.11073` Chr`7` : `87,079,406`	0.000	0.981	0.019
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.019	0.981	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.017	0.983	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.016	0.984	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.015	0.985	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.014	0.986	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.013	0.986	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.013	0.987	0.000
rs4728142 lBF = `0.523948` Chr`7` : `128,573,967`	0.012	0.988	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.011	0.988	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.011	0.989	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.011	0.989	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.011	0.989	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.010	0.990	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.005	0.990	0.005
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.009	0.990	0.000
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rs60839105 lBF = `-0.00002822` Chr`7` : `80,492,357`	0.001	0.999	0.000
rs1077773 lBF = `-0.069177` Chr`7` : `17,442,679`	0.001	0.999	0.000
rs679830 lBF = `0.470426` Chr`7` : `54,674,873`	0.001	0.999	0.000
rs730497 lBF = `-0.0214942` Chr`7` : `44,223,721`	0.000	0.999	0.001
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.001	0.999	0.000
rs73060317 lBF = `0.00410874` Chr`7` : `21,520,212`	0.000	0.999	0.001
rs1055144 lBF = `-0.0755401` Chr`7` : `25,871,109`	0.001	0.999	0.000
rs4607517 lBF = `-0.0219251` Chr`7` : `44,235,668`	0.000	0.999	0.001
rs76405237 lBF = `-0.0233632` Chr`7` : `140,970,819`	0.001	0.999	0.000
rs4720750 lBF = `-0.0681956` Chr`7` : `7,705,275`	0.000	0.999	0.001
rs12538804 lBF = `-0.0842521` Chr`7` : `7,693,919`	0.000	0.999	0.001
rs11771145 lBF = `-0.0924853` Chr`7` : `143,110,762`	0.001	0.999	0.000
rs12019361 lBF = `0.369839` Chr`7` : `87,573,647`	0.001	0.999	0.000
rs1830074 lBF = `0.232354` Chr`7` : `6,718,674`	0.000	0.999	0.001
rs4460308 lBF = `0.00053116` Chr`7` : `104,420,060`	0.000	0.999	0.001
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	0.999	0.001
rs6971499 lBF = `0.480774` Chr`7` : `130,680,521`	0.001	0.999	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.001	0.999	0.000
rs10953730 lBF = `-0.048785` Chr`7` : `112,911,410`	0.000	0.999	0.001
rs17364464 lBF = `0.0564581` Chr`7` : `22,514,053`	0.000	0.999	0.001
rs10952132 lBF = `0.00473674` Chr`7` : `9,066,820`	0.001	0.999	0.000
rs822552 lBF = `0.00023174` Chr`7` : `148,650,634`	0.001	0.999	0.000
rs6964415 lBF = `-0.0363183` Chr`7` : `46,242,583`	0.000	0.999	0.001
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.001	0.999	0.000
rs10486567 lBF = `4.6208` Chr`7` : `27,976,563`	0.001	0.999	0.000
rs17167307 lBF = `-0.00079451` Chr`7` : `13,683,763`	0.000	0.999	0.000
rs4731889 lBF = `-0.0809112` Chr`7` : `132,325,309`	0.001	0.999	0.000
rs7808935 lBF = `4.52374` Chr`7` : `27,977,363`	0.001	0.999	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.001	0.999	0.000
rs12699477 lBF = `0.00936091` Chr`7` : `1,968,953`	0.000	0.999	0.001
rs1107592 lBF = `-0.0191185` Chr`7` : `2,041,432`	0.000	0.999	0.001
rs1476587 lBF = `-0.0245083` Chr`7` : `86,696,714`	0.000	0.999	0.001
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.001	0.999	0.000
rs10242311 lBF = `0.612817` Chr`7` : `105,273,720`	0.001	0.999	0.000
rs17151904 lBF = `-0.0165664` Chr`7` : `25,608,409`	0.001	0.999	0.000
rs4730779 lBF = `-0.0277603` Chr`7` : `117,023,535`	0.001	0.999	0.000
rs71520386 lBF = `-0.0565581` Chr`7` : `22,853,521`	0.001	0.999	0.000
rs17173637 lBF = `0.174727` Chr`7` : `150,529,449`	0.001	0.999	0.000
rs4725982 lBF = `0.0676917` Chr`7` : `150,637,863`	0.001	0.999	0.000
rs1874326 lBF = `0.0627007` Chr`7` : `138,157,390`	0.000	0.999	0.001
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.001	0.999	0.000
rs6961611 lBF = `0.0358141` Chr`7` : `67,426,323`	0.001	0.999	0.000
rs6952809 lBF = `-0.0680257` Chr`7` : `2,448,493`	0.001	0.999	0.000
rs74446409 lBF = `0.0193721` Chr`7` : `130,396,769`	0.001	0.999	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.999	0.001
rs73157032 lBF = `-0.0196123` Chr`7` : `136,428,681`	0.000	0.999	0.001
rs4721295 lBF = `-0.0320031` Chr`7` : `2,036,669`	0.000	0.999	0.001
rs1476442 lBF = `-0.0599809` Chr`7` : `91,272,344`	0.000	0.999	0.001
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.001	0.999	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.000	0.999	0.000
rs1636744 lBF = `0.209488` Chr`7` : `16,984,280`	0.000	0.999	0.001
rs10952890 lBF = `0.2076` Chr`7` : `86,355,215`	0.001	0.999	0.000
rs17169807 lBF = `0.0234637` Chr`7` : `33,181,238`	0.001	0.999	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.000	0.999	0.001
rs2158836 lBF = `3.45595` Chr`7` : `107,580,839`	0.000	0.999	0.000
rs2237349 lBF = `0.814075` Chr`7` : `28,762,963`	0.000	0.999	0.001
rs10275045 lBF = `-0.0107246` Chr`7` : `1,920,826`	0.000	0.999	0.001
rs4947599 lBF = `-0.068507` Chr`7` : `51,538,997`	0.001	0.999	0.000
rs28671666 lBF = `-0.086827` Chr`7` : `12,184,430`	0.001	0.999	0.000
rs878521 lBF = `-0.0923186` Chr`7` : `44,255,643`	0.000	0.999	0.001
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.001	0.999	0.000
rs13239597 lBF = `0.304706` Chr`7` : `128,695,983`	0.001	0.999	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.001	0.999	0.000
rs10260824 lBF = `-0.00715685` Chr`7` : `93,637,625`	0.001	0.999	0.000
rs10429035 lBF = `-0.0416416` Chr`7` : `96,119,481`	0.001	0.999	0.000
rs10808265 lBF = `-0.106825` Chr`7` : `132,189,689`	0.001	0.999	0.000
rs4721135 lBF = `0.163969` Chr`7` : `1,912,222`	0.000	0.999	0.001
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.000	0.999	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.001	0.999	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.000	0.999	0.001
rs7799265 lBF = `0.0426709` Chr`7` : `28,432,476`	0.001	0.999	0.000
rs12531027 lBF = `-0.051219` Chr`7` : `15,335,936`	0.000	0.999	0.001
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.999	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.001	0.999	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.001	0.999	0.000
rs76027228 lBF = `5.06956` Chr`7` : `73,422,593`	0.000	0.999	0.000
rs3807306 lBF = `1.54632` Chr`7` : `128,580,680`	0.001	0.999	0.000
rs79846815 lBF = `0.0597949` Chr`7` : `134,563,570`	0.001	0.999	0.000
rs10264856 lBF = `0.0342754` Chr`7` : `87,262,581`	0.000	0.999	0.001
rs2157926 lBF = `0.0340967` Chr`7` : `87,270,500`	0.000	0.999	0.001
rs1133906 lBF = `-0.0056724` Chr`7` : `92,764,982`	0.001	0.999	0.000
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.000	0.999	0.000
rs10488631 lBF = `0.301576` Chr`7` : `128,594,183`	0.001	0.999	0.000
rs3757458 lBF = `0.123124` Chr`7` : `100,881,403`	0.001	0.999	0.000
rs2285947 lBF = `0.081487` Chr`7` : `21,584,088`	0.001	0.999	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.001	0.999	0.000
rs17166082 lBF = `-0.0037196` Chr`7` : `131,713,360`	0.000	0.999	0.000
rs2367911 lBF = `-0.00492152` Chr`7` : `81,786,220`	0.000	0.999	0.000
rs12539793 lBF = `-0.0220807` Chr`7` : `25,971,860`	0.001	0.999	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.001	0.999	0.000
rs1734907 lBF = `0.0655614` Chr`7` : `100,315,517`	0.000	0.999	0.001
rs6971109 lBF = `0.00451285` Chr`7` : `21,222,790`	0.000	0.999	0.001
rs10486776 lBF = `-0.0194356` Chr`7` : `15,742,786`	0.000	0.999	0.001
rs11976020 lBF = `-0.0568841` Chr`7` : `72,247,800`	0.001	0.999	0.000
rs12718597 lBF = `-0.0785675` Chr`7` : `50,428,428`	0.000	0.999	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.000	0.999	0.000
rs13310130 lBF = `1.66235` Chr`7` : `96,346,088`	0.000	0.999	0.001
rs10232457 lBF = `0.0730248` Chr`7` : `87,462,515`	0.000	0.999	0.001
rs12701220 lBF = `-0.0366596` Chr`7` : `1,022,728`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1444

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9949

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9943

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9883

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9817

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9790

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9755

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9721

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9715

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9688

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9613

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9573

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9531

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9507

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9353

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9254

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9114

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9079

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9071

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9060

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9030

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8984

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8976

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8805

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8795

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8732

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8697

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8674

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8569

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8561

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8549

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8545

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8543

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8541

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8467

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8350

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8338

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8320

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8279

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8260

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8259

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8253

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8248

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8193

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8050

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8013

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7986

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7839

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7832

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7803

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7796

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7777

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7750

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7744

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7706

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7539

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7529

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7496

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7433

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7350

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7327

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7288

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7213

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7180

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7050

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7019

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6940

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6843

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6836

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6812

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6682

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6671

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6581

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6510

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6415

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6336

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6256

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6205

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6165

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6152

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6120

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5752

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5751

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5641

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5630

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5609

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5593

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5579

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5560

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5460

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5460

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5430

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5377

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5324

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5254

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4886

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4883

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4806

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4706

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4624

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4589

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4584

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4526

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4508

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4297

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4278

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4274

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4213

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4213

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4179

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4081

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3980

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3942

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3917

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3797

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3732

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3707

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3701

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3635

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3585

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3469

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3405

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3320

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3304

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3008

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2965

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2786

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2717

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2680

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2665

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2602

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2594

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2517

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2459

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2141

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1988

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1979

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1953

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1941

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1844

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1844

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1736

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1724

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1684

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1545

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1521

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1472

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1349

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1195

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1139

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0988

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0946

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0940

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0884

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0858

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0696

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0639

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0616

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`)