TreeWAS – [I30] Acute pericarditis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I30

Acute pericarditis

Parent term	I30-I52 Other forms of heart disease
Nested terms	I30.0 Acute nonspecific idiopathic pericarditis I30.1 Infective pericarditis I30.8 Other forms of acute pericarditis I30.9 Acute pericarditis, unspecified

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Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.864	0.136	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.823	0.177	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.819	0.181	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.774	0.226	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.743	0.257	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.739	0.261	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.738	0.262	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.717	0.283	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.717	0.283	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.715	0.285	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.711	0.289	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.709	0.291	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.702	0.298	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.699	0.301	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.698	0.302	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.681	0.319	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.677	0.323	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.661	0.339	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.658	0.342	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.652	0.348	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.627	0.373	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.617	0.383	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.592	0.407	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.575	0.425	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.566	0.434	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.538	0.461	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.460	0.540	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.452	0.548	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.441	0.559	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.436	0.564	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.420	0.580	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.383	0.616	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.376	0.623	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.360	0.639	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.231	0.769	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.180	0.820	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.180	0.820	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.155	0.845	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.146	0.853	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.138	0.862	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.131	0.869	0.001
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.127	0.873	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.125	0.875	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.107	0.893	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.078	0.922	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.074	0.925	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.073	0.927	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.072	0.928	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.069	0.930	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.068	0.932	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.063	0.937	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.054	0.946	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.052	0.948	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.048	0.951	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.048	0.952	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.047	0.953	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.046	0.954	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.045	0.955	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.040	0.960	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.037	0.963	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.032	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.029	0.971	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.972	0.027
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.024	0.975	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.022	0.977	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.021	0.979	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.001	0.982	0.017
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.018	0.982	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.017	0.983	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.016	0.984	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.012	0.988	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.011	0.989	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.010	0.990	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.990	0.010
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.010	0.990	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.008	0.992	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.008	0.992	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.007	0.993	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.005	0.995	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.005	0.995	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.005	0.995	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.004	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.996	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.003	0.997	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.003	0.997	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.002	0.997	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.997	0.002
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.002	0.998	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.001	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.001	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.999	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.001	0.999	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	0.999	0.001
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.001	0.999	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
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rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

This table lists the top 491 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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6039

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4764

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4719

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1963

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9890

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9878

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9869

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9807

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9806

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9754

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9662

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9650

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9626

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9591

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9506

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9503

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9451

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9438

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9428

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9402

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9390

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9380

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9374

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9370

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9348

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9325

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9266

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9263

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9248

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9189

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9131

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9114

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9099

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9048

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9030

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8999

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8955

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8955

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8954

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8911

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8909

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8882

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8877

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8867

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8864

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8847

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8839

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8827

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8795

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8777

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8717

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8700

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8692

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8690

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8542

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8536

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8533

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8517

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8469

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8439

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8428

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8424

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8421

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8371

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8276

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8274

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8248

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8193

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8185

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8184

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8183

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8171

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8156

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8134

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.8115

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8054

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8044

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8043

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7959

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7921

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7879

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7867

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7821

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7810

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7776

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7754

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7641

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7635

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7519

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7487

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7481

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7441

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7385

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7379

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7353

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7332

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7310

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7301

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7298

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7283

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7220

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7162

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7130

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7119

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6940

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6926

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6889

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6875

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6825

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6808

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6807

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6740

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6708

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6603

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6590

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6548

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6463

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6374

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6367

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6342

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6337

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6297

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6267

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6244

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6213

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6101

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6099

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6020

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5994

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5859

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5461

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5440

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5347

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5303

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5195

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4982

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4968

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4863

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4743

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4660

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4618

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4386

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4354

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4334

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3951

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3482

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3031

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2894

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2362

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1572

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1258

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0855

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0848

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0741

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0516

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0507

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`)