TreeWAS – [I24] Other acute ischaemic heart diseases

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I24

Other acute ischaemic heart diseases

Parent term	I20-I25 Ischaemic heart diseases
Nested terms	I24.0 Coronary thrombosis not resulting in myocardial infarction I24.1 Dressler's syndrome I24.8 Other forms of acute ischaemic heart disease I24.9 Acute ischaemic heart disease, 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
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.992	0.008	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.964	0.036	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.951	0.049	0.000
rs7798197 lBF = `15.7025` Chr`7` : `19,037,661`	0.944	0.056	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.944	0.056	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.941	0.059	0.000
rs75511781 lBF = `10.9224` Chr`7` : `131,323,710`	0.941	0.059	0.000
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.929	0.071	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.927	0.073	0.000
rs11984041 lBF = `12.4243` Chr`7` : `19,031,935`	0.922	0.078	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.916	0.084	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.895	0.105	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.889	0.111	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.879	0.121	0.000
rs10226228 lBF = `5.44741` Chr`7` : `32,315,613`	0.877	0.123	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.877	0.123	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.864	0.136	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.862	0.138	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.859	0.141	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.851	0.149	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.849	0.151	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.841	0.159	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.836	0.164	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.833	0.167	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.828	0.172	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.826	0.174	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.812	0.188	0.000
rs7780515 lBF = `5.33429` Chr`7` : `32,305,274`	0.811	0.189	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.808	0.192	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.788	0.212	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.788	0.212	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.775	0.225	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.769	0.231	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.761	0.239	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.740	0.260	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.738	0.262	0.000
rs11773624 lBF = `6.07296` Chr`7` : `12,023,864`	0.734	0.266	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.734	0.266	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.725	0.275	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.721	0.279	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.716	0.283	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.715	0.285	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.710	0.290	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.704	0.296	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.701	0.299	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.690	0.310	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.677	0.323	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.674	0.326	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.673	0.327	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.669	0.331	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.664	0.336	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.657	0.343	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.656	0.344	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.344	0.656
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.647	0.353	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.640	0.360	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.637	0.363	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.628	0.372	0.000
rs2286195 lBF = `7.52235` Chr`7` : `139,728,584`	0.000	0.375	0.625
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.615	0.385	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.613	0.387	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.612	0.388	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.602	0.398	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.590	0.410	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.573	0.427	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.555	0.445	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.533	0.467	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.480	0.520
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.515	0.485	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.504	0.496	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.496	0.504
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.475	0.525	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.471	0.529	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.470	0.530	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.466	0.534	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.465	0.535	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.458	0.542	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.456	0.544	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.456	0.544	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.455	0.545	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.446	0.554	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.421	0.579	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.408	0.591	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.406	0.594	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.399	0.601	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.397	0.603	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.366	0.634	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.365	0.635	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.644	0.356
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.348	0.652	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.347	0.653	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.333	0.667	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.328	0.672	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.327	0.673	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.308	0.692	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.305	0.695	0.001
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.284	0.715	0.001
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.282	0.718	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.281	0.718	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.266	0.734	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.258	0.741	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.258	0.742	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.256	0.743	0.001
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.254	0.745	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.250	0.749	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.248	0.751	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.247	0.753	0.000
rs17477177 lBF = `1.86507` Chr`7` : `106,411,858`	0.233	0.767	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.225	0.775	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.215	0.785	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.213	0.787	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.197	0.803	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.197	0.803	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.174	0.826	0.000
rs148982377 lBF = `0.398419` Chr`7` : `99,075,038`	0.000	0.828	0.172
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.171	0.829	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.170	0.829	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.164	0.836	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.158	0.842	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.152	0.848	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.151	0.849	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.133	0.867	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.132	0.868	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.131	0.869	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.125	0.875	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.124	0.876	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.118	0.882	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.113	0.887	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.111	0.888	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.106	0.893	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.106	0.894	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.101	0.899	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.099	0.901	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.096	0.904	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.096	0.904	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.093	0.907	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.093	0.907	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.093	0.907	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.091	0.909	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.088	0.912	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.088	0.912	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.086	0.913	0.000
rs17436410 lBF = `-0.0207723` Chr`7` : `26,994,167`	0.084	0.916	0.000
rs17428471 lBF = `6.65533` Chr`7` : `27,337,867`	0.082	0.918	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.082	0.918	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.080	0.920	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.078	0.921	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.078	0.922	0.000
rs769111 lBF = `0.116788` Chr`7` : `12,059,806`	0.000	0.924	0.076
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.075	0.925	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.071	0.929	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.071	0.929	0.000
rs17398575 lBF = `1.4379` Chr`7` : `106,409,452`	0.070	0.930	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.070	0.930	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.069	0.930	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.067	0.933	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.066	0.934	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.064	0.936	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.064	0.936	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.062	0.937	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.062	0.938	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.062	0.938	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.061	0.939	0.000
rs17140875 lBF = `0.0608217` Chr`7` : `19,248,278`	0.059	0.941	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.059	0.941	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.057	0.943	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.052	0.948	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.049	0.950	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.047	0.953	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.046	0.953	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.046	0.954	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.046	0.954	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.045	0.954	0.001
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.045	0.955	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.045	0.955	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.045	0.955	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.000	0.957	0.042
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.042	0.958	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.042	0.958	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.040	0.960	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.039	0.960	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.039	0.961	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.039	0.961	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.039	0.961	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.037	0.963	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.036	0.964	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.036	0.964	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.036	0.964	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.035	0.965	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.034	0.966	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.032	0.967	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.032	0.968	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.031	0.969	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.029	0.971	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.028	0.972	0.001
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.027	0.972	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.027	0.973	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.025	0.975	0.000
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rs17640804 lBF = `-0.0494161` Chr`7` : `42,131,390`	0.000	0.999	0.001
rs10273639 lBF = `-0.0754004` Chr`7` : `142,456,928`	0.000	0.999	0.001
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.000	0.999	0.001
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.001	0.999	0.000
rs4073894 lBF = `3.46096` Chr`7` : `104,466,964`	0.000	0.999	0.001
rs430 lBF = `-0.00015733` Chr`7` : `19,106,539`	0.001	0.999	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.000	0.999	0.000
rs314370 lBF = `0.217177` Chr`7` : `100,453,208`	0.000	0.999	0.001
rs10486023 lBF = `0.0535224` Chr`7` : `114,178,653`	0.001	0.999	0.000
rs2069837 lBF = `-0.0109757` Chr`7` : `22,768,027`	0.001	0.999	0.000
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.000	0.999	0.001
rs17167307 lBF = `-0.00079451` Chr`7` : `13,683,763`	0.001	0.999	0.000
rs2530545 lBF = `-0.0195453` Chr`7` : `34,697,140`	0.000	0.999	0.001
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.000	0.999	0.001
rs7780752 lBF = `-0.043767` Chr`7` : `93,241,640`	0.001	0.999	0.000
rs11761528 lBF = `0.29097` Chr`7` : `99,118,801`	0.000	0.999	0.001
rs342275 lBF = `0.0056673` Chr`7` : `106,359,216`	0.001	0.999	0.000
rs6952809 lBF = `-0.0680257` Chr`7` : `2,448,493`	0.001	0.999	0.000
rs849644 lBF = `-0.00076057` Chr`7` : `124,337,487`	0.000	0.999	0.001
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	0.999	0.001
rs2290263 lBF = `0.0268183` Chr`7` : `25,887,278`	0.001	0.999	0.000
rs10262624 lBF = `0.00658073` Chr`7` : `23,915,676`	0.000	0.999	0.001
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	0.999	0.000
rs146883444 lBF = `0.177148` Chr`7` : `147,616,793`	0.000	0.999	0.001
rs2072413 lBF = `1.81325` Chr`7` : `150,647,969`	0.000	0.999	0.001
rs4722672 lBF = `0.12026` Chr`7` : `27,231,762`	0.001	0.999	0.000
rs5745687 lBF = `-0.00508209` Chr`7` : `81,359,051`	0.000	0.999	0.000
rs4730250 lBF = `-0.0424327` Chr`7` : `107,207,695`	0.000	0.999	0.001
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.000	0.999	0.000
rs10255295 lBF = `-0.0367314` Chr`7` : `137,858,766`	0.001	0.999	0.000
rs849141 lBF = `1.31497` Chr`7` : `28,185,091`	0.001	0.999	0.000
rs13245899 lBF = `1.31003` Chr`7` : `100,497,131`	0.000	0.999	0.001
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	0.999	0.000
rs11977526 lBF = `0.0414996` Chr`7` : `46,008,110`	0.001	0.999	0.000
rs7786765 lBF = `0.0384523` Chr`7` : `93,199,928`	0.001	0.999	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.999	0.001
rs2350782 lBF = `0.00738277` Chr`7` : `136,642,634`	0.001	0.999	0.000
rs10954650 lBF = `-0.0653277` Chr`7` : `139,326,552`	0.001	0.999	0.000
rs34610745 lBF = `0.074074` Chr`7` : `43,334,575`	0.001	0.999	0.000
rs4947962 lBF = `0.0339462` Chr`7` : `55,075,807`	0.001	0.999	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	0.999	0.001
rs73157032 lBF = `-0.0196123` Chr`7` : `136,428,681`	0.001	0.999	0.000
rs528161076 lBF = `0.020658` Chr`7` : `4,827,514`	0.000	0.999	0.001
rs732577 lBF = `-0.0502743` Chr`7` : `12,932,049`	0.001	0.999	0.000
rs4285401 lBF = `-0.053787` Chr`7` : `152,878,333`	0.000	0.999	0.001
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.000	0.999	0.000
rs7801190 lBF = `0.0780627` Chr`7` : `100,458,093`	0.001	0.999	0.000
rs7636 lBF = `0.0752719` Chr`7` : `100,490,077`	0.001	0.999	0.000
rs2969540 lBF = `0.0178522` Chr`7` : `154,900,857`	0.000	0.999	0.001
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.000	0.999	0.000
rs14978 lBF = `-0.0550062` Chr`7` : `12,273,152`	0.001	0.999	0.000
rs12666989 lBF = `1.62541` Chr`7` : `100,486,754`	0.000	0.999	0.001
rs798338 lBF = `-0.0902066` Chr`7` : `77,917,038`	0.000	0.999	0.001
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.000	0.999	0.000
rs1708299 lBF = `3.54565` Chr`7` : `28,189,946`	0.001	0.999	0.000
rs1029534 lBF = `3.48857` Chr`7` : `28,189,083`	0.001	0.999	0.000
rs6942756 lBF = `0.219701` Chr`7` : `128,886,821`	0.001	0.999	0.000
rs12533251 lBF = `0.176606` Chr`7` : `99,115,677`	0.000	0.999	0.000
rs73066442 lBF = `-0.00645015` Chr`7` : `21,592,973`	0.001	0.999	0.000
rs35513757 lBF = `-0.00829968` Chr`7` : `158,610,647`	0.000	0.999	0.000
rs73157036 lBF = `-0.0202926` Chr`7` : `136,431,840`	0.001	0.999	0.000
rs151156903 lBF = `-0.0225601` Chr`7` : `136,366,355`	0.001	0.999	0.000
rs1476442 lBF = `-0.0599809` Chr`7` : `91,272,344`	0.001	0.999	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	0.999	0.000
rs12707249 lBF = `0.0725718` Chr`7` : `135,479,573`	0.000	0.999	0.000
rs62468398 lBF = `-0.0349589` Chr`7` : `131,893,485`	0.000	0.999	0.000
rs4725982 lBF = `0.0676917` Chr`7` : `150,637,863`	0.000	1.000	0.000
rs11773103 lBF = `0.0352841` Chr`7` : `86,821,980`	0.000	1.000	0.000
rs6465825 lBF = `0.00170816` Chr`7` : `77,416,439`	0.000	1.000	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.000	1.000	0.000
rs73157010 lBF = `-0.0169849` Chr`7` : `136,396,861`	0.000	1.000	0.000
rs2390593 lBF = `-0.0351175` Chr`7` : `21,861,112`	0.000	1.000	0.000
rs11978472 lBF = `0.113728` Chr`7` : `81,839,553`	0.000	1.000	0.000
rs117530689 lBF = `0.0449646` Chr`7` : `102,030,935`	0.000	1.000	0.000
rs7789850 lBF = `0.0146769` Chr`7` : `141,300,611`	0.000	1.000	0.000
rs113520408 lBF = `-0.0665791` Chr`7` : `128,402,782`	0.000	1.000	0.000
rs1799922 lBF = `-0.0993712` Chr`7` : `128,415,195`	0.000	1.000	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.000	1.000	0.000
rs552707 lBF = `2.48304` Chr`7` : `28,205,303`	0.000	1.000	0.000
rs7786410 lBF = `0.0478936` Chr`7` : `55,922,323`	0.000	1.000	0.000
rs10487524 lBF = `0.00610497` Chr`7` : `144,841,531`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	1.000	0.000
rs7801534 lBF = `-0.00512034` Chr`7` : `49,329,680`	0.000	1.000	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.000	1.000	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.000	1.000	0.000
rs10214930 lBF = `1.11653` Chr`7` : `27,784,949`	0.000	1.000	0.000
rs2395022 lBF = `0.0225055` Chr`7` : `98,750,379`	0.000	1.000	0.000
rs116932763 lBF = `0.00888646` Chr`7` : `149,549,009`	0.000	1.000	0.000
rs1174864 lBF = `-0.0603291` Chr`7` : `53,127,559`	0.000	1.000	0.000
rs10435178 lBF = `0.0236493` Chr`7` : `46,720,711`	0.000	1.000	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.000	1.000	0.000
rs10261878 lBF = `0.737336` Chr`7` : `25,950,545`	0.000	1.000	0.000
rs35681285 lBF = `0.337815` Chr`7` : `16,326,646`	0.000	1.000	0.000
rs2730260 lBF = `0.134731` Chr`7` : `158,846,929`	0.000	1.000	0.000
rs10231759 lBF = `0.0166435` Chr`7` : `150,512,172`	0.000	1.000	0.000
rs7777054 lBF = `-0.0516345` Chr`7` : `17,612,385`	0.000	1.000	0.000
rs10488029 lBF = `-0.0524578` Chr`7` : `37,067,395`	0.000	1.000	0.000
rs2192271 lBF = `-0.0903619` Chr`7` : `153,549,296`	0.000	1.000	0.000
rs728115 lBF = `0.0299662` Chr`7` : `120,305,149`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs6969354 lBF = `0.005034` Chr`7` : `50,889,248`	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 X0034

log Bayes Factor = 665.104

contains 16 variants

1.0000

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.9997

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.9975

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7260

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7123

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5226

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.2176

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9999

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9996

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9993

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9988

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9986

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9983

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9977

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9970

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9938

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9936

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9935

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9935

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9934

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9925

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9891

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9877

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9867

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9834

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9816

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9808

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9776

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9660

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9513

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9503

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9391

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.9278

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9090

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9087

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8872

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8682

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8621

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8599

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8550

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8519

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.8336

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8297

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8188

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.8143

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8037

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7965

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7780

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7641

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7543

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7490

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7451

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7367

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6983

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6831

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6828

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6668

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6510

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6482

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6441

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6417

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6159

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5933

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5888

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5791

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5650

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5584

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.5512

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4998

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4875

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4232

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4184

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4035

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3990

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3785

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3520

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.3518

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3197

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3148

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3102

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3022

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3001

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2983

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2899

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2897

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2728

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2725

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2674

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2465

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2365

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2313

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2167

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2143

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1955

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1857

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1818

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1740

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1582

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1401

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1388

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1354

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1319

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1295

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1287

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1059

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1053

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1026

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1010

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0940

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0914

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0890

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0835

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0820

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0736

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0703

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0701

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0651

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0622

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0611

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0610

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0593

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`)