TreeWAS – [I62] Other nontraumatic intracranial haemorrhage

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I62

Other nontraumatic intracranial haemorrhage

Parent term	I60-I69 Cerebrovascular diseases
Nested terms	I62.0 Subdural haemorrhage (acute) (nontraumatic) I62.1 Nontraumatic extradural haemorrhage I62.9 Intracranial haemorrhage (nontraumatic), 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
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.846	0.154	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.778	0.222	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.749	0.251	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.733	0.267	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.728	0.272	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.718	0.282	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.715	0.284	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.710	0.290	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.704	0.296	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.704	0.296	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.702	0.297	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.702	0.298	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.696	0.304	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.694	0.306	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.694	0.306	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.692	0.307	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.684	0.316	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.683	0.317	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.682	0.318	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.667	0.333	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.667	0.333	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.665	0.335	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.665	0.335	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.655	0.345	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.654	0.345	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.653	0.347	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.651	0.348	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.651	0.349	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.648	0.352	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.644	0.356	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.643	0.357	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.640	0.360	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.633	0.367	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.632	0.368	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.631	0.369	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.627	0.373	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.618	0.381	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.614	0.386	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.607	0.393	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.605	0.395	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.604	0.396	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.595	0.405	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.594	0.406	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.588	0.412	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.588	0.412	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.575	0.425	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.569	0.431	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.567	0.433	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.558	0.442	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.555	0.445	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.555	0.445	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.550	0.450	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.548	0.452	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.546	0.454	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.543	0.457	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.541	0.459	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.540	0.460	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.539	0.461	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.532	0.468	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.507	0.493	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.504	0.496	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.500	0.500	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.488	0.512	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.487	0.513	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.469	0.531	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.464	0.536	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.463	0.536	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.453	0.547	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.444	0.556	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.428	0.572	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.420	0.580	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.415	0.585	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.391	0.609	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.386	0.614	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.384	0.616	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.624	0.376
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.372	0.628	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.369	0.631	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.359	0.640	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.349	0.651	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.336	0.663	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.329	0.671	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.304	0.696	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.301	0.699	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.288	0.712	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.275	0.725	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.269	0.730	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.266	0.734	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.257	0.743	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.251	0.749	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.235	0.765	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.231	0.769	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.231	0.769	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.224	0.776	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.220	0.780	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.211	0.789	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.210	0.790	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.186	0.813	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.182	0.818	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.175	0.825	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.170	0.830	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.167	0.832	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.152	0.848	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.146	0.854	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.142	0.858	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.140	0.860	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.120	0.880	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.118	0.882	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.112	0.888	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.109	0.891	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.105	0.895	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.102	0.897	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.102	0.898	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.102	0.898	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.099	0.901	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.094	0.903	0.002
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.094	0.906	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.093	0.907	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.090	0.910	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.086	0.914	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.080	0.920	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.072	0.928	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.069	0.931	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.058	0.941	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.058	0.942	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.054	0.946	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.047	0.952	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.047	0.953	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.044	0.955	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.036	0.963	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.036	0.964	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.964	0.036
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.035	0.965	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.034	0.966	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.033	0.967	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.031	0.969	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.030	0.970	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.030	0.970	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.029	0.970	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.029	0.971	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.028	0.972	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.027	0.973	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.025	0.975	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.023	0.977	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.022	0.977	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.022	0.978	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.979	0.021
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.019	0.981	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.019	0.981	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	0.981	0.019
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.018	0.982	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.016	0.983	0.001
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.013	0.987	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.012	0.988	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.003	0.988	0.009
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.012	0.988	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.010	0.990	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.009	0.991	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.991	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.007	0.992	0.001
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.008	0.992	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.007	0.993	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.007	0.993	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.007	0.993	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.007	0.993	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.006	0.993	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.006	0.994	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.006	0.994	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.006	0.994	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	0.994	0.006
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	0.994	0.006
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	0.994	0.006
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.006	0.994	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.005	0.994	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.005	0.995	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.005	0.995	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.005	0.995	0.001
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.005	0.995	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.995	0.005
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.995	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.996	0.004
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.004	0.996	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.996	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.997	0.003
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	0.997	0.003
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.997	0.003
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.003	0.997	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	0.997	0.003
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.003	0.997	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.998	0.002
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	0.998	0.002
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.002	0.998	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.000	0.998	0.002
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rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	1.000	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	1.000	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	1.000	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	1.000	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.000	1.000	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs3844412 lBF = `-0.049109` Chr`16` : `82,646,333`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	1.000	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs8061903 lBF = `-0.0247667` Chr`16` : `9,382,329`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	1.000	0.000
rs3096299 lBF = `5.36096` Chr`16` : `89,448,663`	0.000	1.000	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	1.000	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	1.000	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	1.000	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	1.000	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.000	1.000	0.000
rs3865188 lBF = `-0.0810088` Chr`16` : `82,650,717`	0.000	1.000	0.000
rs1122794 lBF = `-0.0813802` Chr`16` : `309,155`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	1.000	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	1.000	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	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 X0292

log Bayes Factor = 11.0442

contains 1 variants

0.5499

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3762

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1562

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.0624

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9961

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9949

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9944

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9936

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9921

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9912

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9874

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9867

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9830

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9822

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9814

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.9796

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9760

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9749

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9730

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9725

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9720

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9711

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9695

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9677

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9627

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9541

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9520

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9490

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9476

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9464

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9439

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9390

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9360

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9356

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9297

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9259

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9239

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9217

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9193

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9184

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9182

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9176

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9156

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9154

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9142

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9079

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8992

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8978

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8943

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8939

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8927

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8915

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8910

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8836

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8836

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8834

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8777

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8777

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8761

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8739

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8733

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8724

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8710

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8633

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8611

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8596

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8559

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8444

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8424

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8403

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8395

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8342

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8314

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8279

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8279

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8275

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8263

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8257

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8196

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8128

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8119

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8056

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8025

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8019

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7998

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7924

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7924

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7893

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7892

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7887

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7886

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7800

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7787

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7783

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7751

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7717

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7696

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7667

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7632

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7579

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7539

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7475

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7423

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7420

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7408

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7402

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7397

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7390

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7377

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7336

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7253

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7243

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7217

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7194

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7180

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7179

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7178

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7152

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7128

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7127

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7042

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7039

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6748

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6625

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6596

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6553

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6471

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6470

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6450

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.6423

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6388

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6363

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6352

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6314

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6247

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6238

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6168

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6156

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6132

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6071

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5981

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5954

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5751

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5697

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5649

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5646

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5406

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5404

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5321

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5214

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5204

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5056

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5051

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5036

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4979

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4975

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4782

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4682

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4585

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4551

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4415

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4404

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4348

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4181

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3877

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3856

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3802

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3793

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3752

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3404

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3367

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3312

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3297

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3243

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3153

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3067

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2935

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2558

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.2392

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2181

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2156

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2040

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2029

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.1837

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1804

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1680

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1665

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1540

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1486

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1441

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1374

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1369

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1270

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1136

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1081

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0933

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0749

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0535

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`)