TreeWAS – [K46] Unspecified abdominal hernia

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K46

Unspecified abdominal hernia

Parent term	K40-K46 Hernia
Nested terms	K46.0 Unspecified abdominal hernia with obstruction, without gangrene K46.1 Unspecified abdominal hernia with gangrene K46.9 Unspecified abdominal hernia without obstruction or gangrene

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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
rs76027228 lBF = `5.06956` Chr`7` : `73,422,593`	0.000	0.138	0.862
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.734	0.266	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.727	0.273	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.722	0.278	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.720	0.280	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.694	0.306	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.688	0.312	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.650	0.350	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.644	0.356	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.640	0.360	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.634	0.366	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.621	0.379	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.620	0.380	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.614	0.386	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.591	0.408	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.578	0.422	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.553	0.447	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.535	0.465	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.525	0.475	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.522	0.478	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.475	0.524	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.468	0.531	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.468	0.532	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.430	0.570	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.425	0.575	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.414	0.586	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.413	0.587	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.401	0.599	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.397	0.603	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.397	0.603	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.391	0.609	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.375	0.625	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.375	0.625	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.373	0.627	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.373	0.627	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.358	0.642	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.345	0.655	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.338	0.662	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.296	0.704	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.296	0.704	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.287	0.713	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.272	0.728	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.272	0.728	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.267	0.733	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.263	0.737	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.239	0.740	0.021
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.258	0.742	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.256	0.744	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.250	0.750	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.241	0.759	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.236	0.764	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.235	0.765	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.235	0.765	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.235	0.765	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.230	0.770	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.229	0.771	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.227	0.773	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.225	0.775	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.222	0.778	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.217	0.782	0.001
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.216	0.784	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.785	0.215
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.212	0.788	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.211	0.788	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.207	0.793	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.203	0.797	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.195	0.805	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.194	0.806	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.190	0.809	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.186	0.814	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.186	0.814	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.181	0.819	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.181	0.819	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.180	0.820	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.177	0.823	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.175	0.825	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.171	0.829	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.168	0.832	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.168	0.832	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.162	0.838	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.152	0.848	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.151	0.849	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.151	0.849	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.150	0.850	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.148	0.852	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.147	0.853	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.146	0.854	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.138	0.862	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.135	0.865	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.133	0.866	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.132	0.867	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.132	0.868	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.130	0.870	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.126	0.874	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.125	0.875	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.121	0.879	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.115	0.885	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.084	0.887	0.029
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.110	0.890	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.109	0.891	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.100	0.895	0.005
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.099	0.901	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.097	0.903	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.095	0.905	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.095	0.905	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.095	0.905	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.093	0.907	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.091	0.909	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.089	0.911	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.087	0.912	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.087	0.913	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.085	0.915	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.084	0.916	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.084	0.916	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.084	0.916	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.082	0.918	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.082	0.918	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.075	0.925	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.073	0.927	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.072	0.927	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.069	0.930	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.066	0.933	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.064	0.935	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.063	0.937	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.062	0.938	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.060	0.940	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.060	0.940	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.059	0.941	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.058	0.942	0.000
rs10233425 lBF = `0.36659` Chr`7` : `19,296,968`	0.000	0.944	0.056
rs11562045 lBF = `5.52176` Chr`7` : `134,592,554`	0.054	0.944	0.001
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.054	0.946	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.048	0.952	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.048	0.952	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.048	0.952	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.047	0.953	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.045	0.955	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.044	0.956	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.043	0.957	0.001
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.043	0.957	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.041	0.958	0.000
rs73198345 lBF = `5.03536` Chr`7` : `87,125,643`	0.000	0.963	0.037
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.037	0.963	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.037	0.963	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.036	0.963	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.034	0.965	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.031	0.968	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.031	0.969	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.030	0.969	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.029	0.971	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.029	0.971	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.026	0.974	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.026	0.974	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.024	0.975	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.023	0.977	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.018	0.981	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.017	0.983	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.016	0.984	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.016	0.984	0.000
rs3757387 lBF = `1.91512` Chr`7` : `128,576,086`	0.016	0.984	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.015	0.984	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.015	0.985	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.015	0.985	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.014	0.986	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.013	0.986	0.000
rs17158675 lBF = `0.0507131` Chr`7` : `83,782,839`	0.013	0.987	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
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.011	0.989	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.010	0.990	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.010	0.990	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.010	0.990	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.009	0.990	0.000
rs1009115 lBF = `-0.0462684` Chr`7` : `8,434,982`	0.009	0.991	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.008	0.991	0.000
rs45554032 lBF = `17.3797` Chr`7` : `87,078,547`	0.001	0.992	0.008
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.008	0.992	0.000
rs10278040 lBF = `0.12308` Chr`7` : `99,141,373`	0.000	0.992	0.008
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.008	0.992	0.000
rs12537284 lBF = `0.43778` Chr`7` : `128,717,906`	0.008	0.992	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.993	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.007	0.993	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.006	0.993	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.006	0.994	0.001
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.006	0.994	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.006	0.994	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.006	0.994	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.006	0.994	0.000
rs4728142 lBF = `0.523948` Chr`7` : `128,573,967`	0.006	0.994	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.005	0.994	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.005	0.994	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.005	0.994	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.005	0.995	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	0.995	0.005
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.005	0.995	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.005	0.995	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.995	0.005
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rs61549860 lBF = `0.0962746` Chr`7` : `18,444,419`	0.001	0.999	0.000
rs1035147 lBF = `-0.0367107` Chr`7` : `12,094,966`	0.001	0.999	0.000
rs4148689 lBF = `-0.0473211` Chr`7` : `117,143,602`	0.000	0.999	0.001
rs59072263 lBF = `-0.0733369` Chr`7` : `8,152,067`	0.001	0.999	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.001	0.999	0.000
rs1830074 lBF = `0.232354` Chr`7` : `6,718,674`	0.001	0.999	0.000
rs10263935 lBF = `0.0356639` Chr`7` : `66,096,028`	0.001	0.999	0.000
rs5745687 lBF = `-0.00508209` Chr`7` : `81,359,051`	0.001	0.999	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.001	0.999	0.000
rs801193 lBF = `0.118237` Chr`7` : `66,030,612`	0.001	0.999	0.000
rs7779014 lBF = `0.00757953` Chr`7` : `75,975,586`	0.001	0.999	0.000
rs10236237 lBF = `-0.0568517` Chr`7` : `88,695,070`	0.001	0.999	0.000
rs3807306 lBF = `1.54632` Chr`7` : `128,580,680`	0.001	0.999	0.000
rs2391285 lBF = `-0.115094` Chr`7` : `26,581,796`	0.000	0.999	0.001
rs7811653 lBF = `0.00460126` Chr`7` : `46,402,269`	0.000	0.999	0.001
rs1019173 lBF = `-0.0364381` Chr`7` : `151,710,547`	0.000	0.999	0.001
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.001	0.999	0.000
rs929354 lBF = `3.12762` Chr`7` : `157,045,557`	0.001	0.999	0.000
rs17169635 lBF = `-0.0352936` Chr`7` : `134,490,462`	0.001	0.999	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.001	0.999	0.000
rs4148810 lBF = `10.9528` Chr`7` : `87,102,251`	0.000	0.999	0.000
rs372229746 lBF = `1.25974` Chr`7` : `102,158,815`	0.001	0.999	0.000
rs76720445 lBF = `0.260868` Chr`7` : `1,792,396`	0.000	0.999	0.001
rs1668357 lBF = `-0.0371005` Chr`7` : `38,004,406`	0.001	0.999	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.001	0.999	0.000
rs2108258 lBF = `0.0454752` Chr`7` : `20,791,998`	0.001	0.999	0.000
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.000	0.999	0.000
rs758944 lBF = `0.0139903` Chr`7` : `75,953,297`	0.001	0.999	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.000	0.999	0.000
rs11773624 lBF = `6.07296` Chr`7` : `12,023,864`	0.000	0.999	0.001
rs17149161 lBF = `0.0684512` Chr`7` : `75,978,229`	0.001	0.999	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	0.999	0.001
rs4730779 lBF = `-0.0277603` Chr`7` : `117,023,535`	0.000	0.999	0.001
rs62448936 lBF = `-0.0544392` Chr`7` : `24,507,030`	0.000	0.999	0.001
rs6973609 lBF = `-0.0917432` Chr`7` : `35,607,233`	0.001	0.999	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.001	0.999	0.000
rs798336 lBF = `-0.0612284` Chr`7` : `77,914,343`	0.000	0.999	0.001
rs1299548 lBF = `-0.0716168` Chr`7` : `7,302,293`	0.001	0.999	0.000
rs4722672 lBF = `0.12026` Chr`7` : `27,231,762`	0.001	0.999	0.000
rs73201076 lBF = `0.0297678` Chr`7` : `110,775,399`	0.000	0.999	0.001
rs10952132 lBF = `0.00473674` Chr`7` : `9,066,820`	0.001	0.999	0.000
rs2227667 lBF = `-0.0212721` Chr`7` : `100,774,749`	0.000	0.999	0.001
rs17807185 lBF = `-0.028973` Chr`7` : `77,308,295`	0.000	0.999	0.001
rs145241704 lBF = `-0.0408507` Chr`7` : `141,505,087`	0.000	0.999	0.000
rs4732038 lBF = `-0.0584683` Chr`7` : `134,250,322`	0.001	0.999	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.000	0.999	0.000
rs1456896 lBF = `3.47735` Chr`7` : `50,304,461`	0.001	0.999	0.000
rs10952890 lBF = `0.2076` Chr`7` : `86,355,215`	0.000	0.999	0.000
rs1918526 lBF = `0.00242736` Chr`7` : `115,138,008`	0.000	0.999	0.000
rs7789940 lBF = `-0.00322984` Chr`7` : `75,951,230`	0.001	0.999	0.000
rs12669789 lBF = `-0.0241738` Chr`7` : `18,734,065`	0.000	0.999	0.000
rs2687481 lBF = `-0.0578404` Chr`7` : `125,869,122`	0.000	0.999	0.000
rs4073894 lBF = `3.46096` Chr`7` : `104,466,964`	0.000	0.999	0.000
rs148490894 lBF = `0.101087` Chr`7` : `99,531,755`	0.000	0.999	0.000
rs2533291 lBF = `0.0282098` Chr`7` : `157,505,654`	0.000	0.999	0.000
rs4719147 lBF = `-0.0242564` Chr`7` : `71,016,159`	0.000	0.999	0.000
rs11975235 lBF = `-0.0288421` Chr`7` : `32,189,540`	0.000	0.999	0.000
rs1429524 lBF = `-0.104038` Chr`7` : `90,944,268`	0.000	0.999	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.000	0.999	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.000	0.999	0.000
rs17711722 lBF = `0.0241998` Chr`7` : `65,271,197`	0.000	0.999	0.000
rs11763147 lBF = `-0.0235679` Chr`7` : `65,326,821`	0.000	0.999	0.000
rs834811 lBF = `-0.101632` Chr`7` : `135,884,571`	0.000	0.999	0.000
rs886716 lBF = `-0.111139` Chr`7` : `26,557,618`	0.000	0.999	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.000	0.999	0.000
rs17864092 lBF = `0.35633` Chr`7` : `126,639,604`	0.000	0.999	0.000
rs10275044 lBF = `0.0741263` Chr`7` : `1,273,845`	0.000	0.999	0.000
rs2589998 lBF = `0.0421368` Chr`7` : `137,866,370`	0.000	0.999	0.000
rs6977940 lBF = `0.0211392` Chr`7` : `2,915,378`	0.000	0.999	0.000
rs10227331 lBF = `0.00843688` Chr`7` : `157,294,938`	0.000	0.999	0.000
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.000	0.999	0.000
rs38664 lBF = `-0.0248127` Chr`7` : `76,390,970`	0.000	0.999	0.000
rs10276619 lBF = `8.37995` Chr`7` : `50,313,352`	0.000	1.000	0.000
rs11766519 lBF = `0.335098` Chr`7` : `57,583,856`	0.000	1.000	0.000
rs146883444 lBF = `0.177148` Chr`7` : `147,616,793`	0.000	1.000	0.000
rs7636 lBF = `0.0752719` Chr`7` : `100,490,077`	0.000	1.000	0.000
rs1014137 lBF = `0.0682659` Chr`7` : `31,623,746`	0.000	1.000	0.000
rs1874326 lBF = `0.0627007` Chr`7` : `138,157,390`	0.000	1.000	0.000
rs7801581 lBF = `-0.0166717` Chr`7` : `27,223,771`	0.000	1.000	0.000
rs11763760 lBF = `-0.0362019` Chr`7` : `23,480,467`	0.000	1.000	0.000
rs2691543 lBF = `-0.0362495` Chr`7` : `77,964,788`	0.000	1.000	0.000
rs237238 lBF = `-0.0364571` Chr`7` : `75,211,414`	0.000	1.000	0.000
rs245914 lBF = `-0.0412105` Chr`7` : `29,218,159`	0.000	1.000	0.000
rs4726279 lBF = `-0.0596949` Chr`7` : `153,056,620`	0.000	1.000	0.000
rs11977715 lBF = `-0.0673102` Chr`7` : `95,117,703`	0.000	1.000	0.000
rs10953615 lBF = `-0.0724411` Chr`7` : `109,152,711`	0.000	1.000	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.000	1.000	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.000	1.000	0.000
rs3095008 lBF = `-0.038033` Chr`7` : `20,255,705`	0.000	1.000	0.000
rs12669076 lBF = `-0.0681948` Chr`7` : `96,415,055`	0.000	1.000	0.000
rs2392362 lBF = `-0.0704915` Chr`7` : `35,401,447`	0.000	1.000	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.000	1.000	0.000
rs1949829 lBF = `0.144483` Chr`7` : `51,537,887`	0.000	1.000	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	1.000	0.000
rs488333 lBF = `-0.00188581` Chr`7` : `83,911,271`	0.000	1.000	0.000
rs2227631 lBF = `-0.0171876` Chr`7` : `100,769,538`	0.000	1.000	0.000
rs7785360 lBF = `-0.0195587` Chr`7` : `69,409,378`	0.000	1.000	0.000
rs2390593 lBF = `-0.0351175` Chr`7` : `21,861,112`	0.000	1.000	0.000
rs4320486 lBF = `-0.0960549` Chr`7` : `107,643,977`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0207

log Bayes Factor = 94.6548

contains 2 variants

0.3612

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1806

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9968

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9900

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9756

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9725

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9610

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9514

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9385

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9333

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9222

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9150

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9075

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9017

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8960

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8900

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8896

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8845

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8825

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8819

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8620

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.8615

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8526

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8339

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8288

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8257

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8162

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7956

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7956

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7913

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7784

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7566

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7519

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7341

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7331

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7217

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7035

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6607

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6543

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6300

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6197

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6174

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6135

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6027

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5978

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5869

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5802

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5726

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5723

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5704

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.5443

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5389

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5146

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5019

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4626

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4138

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3982

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3937

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3865

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3863

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3756

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3690

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3674

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3668

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3580

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3537

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3341

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3336

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3304

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3280

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3249

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3121

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3030

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2874

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2775

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2728

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2717

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2615

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2551

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2457

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2455

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2394

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2315

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2295

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2147

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2130

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2105

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2042

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2030

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1941

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1837

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1736

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1687

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1673

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1635

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1604

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1596

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1534

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1509

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1480

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1477

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1439

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1424

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1386

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1382

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1363

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1329

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.1167

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1116

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1060

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1029

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1006

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0971

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0968

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0954

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0952

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0942

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0874

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0861

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0861

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0842

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0814

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0791

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0771

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0691

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0584

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.0584

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0571

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0505

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`)