TreeWAS – [I95-I99] Other and unspecified disorders of the circulatory system

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I95-I99

Other and unspecified disorders of the circulatory system

Parent term	Chapter IX Diseases of the circulatory system
Nested terms	I99 Other and unspecified disorders of circulatory system I95 Hypotension I97 Postprocedural disorders of circulatory system, not elsewhere classified I98 Other disorders of circulatory system in diseases classified elsewhere

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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
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	1.000	0.000	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.979	0.021	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.974	0.026	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.974	0.026	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.969	0.031	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.964	0.036	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.954	0.046	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.948	0.052	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.924	0.076	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.911	0.089	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.893	0.107	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.878	0.122	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.877	0.123	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.875	0.125	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.870	0.130	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.868	0.132	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.867	0.133	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.860	0.140	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.857	0.143	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.856	0.144	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.853	0.147	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.848	0.152	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.844	0.156	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.840	0.160	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.162	0.838
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.838	0.162	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.836	0.164	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.833	0.167	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.833	0.167	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.831	0.169	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.826	0.174	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.825	0.175	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.823	0.177	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.819	0.181	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.813	0.187	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.800	0.200	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.791	0.209	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.790	0.210	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.785	0.215	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.778	0.222	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.771	0.229	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.764	0.236	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.762	0.238	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.760	0.240	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.758	0.242	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.753	0.247	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.744	0.256	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.738	0.262	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.733	0.267	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.728	0.272	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.723	0.277	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.717	0.283	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.710	0.290	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.703	0.297	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.697	0.302	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.694	0.306	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.690	0.310	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.689	0.311	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.687	0.313	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.684	0.316	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.683	0.317	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.682	0.318	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.674	0.326	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.669	0.331	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.665	0.335	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.664	0.336	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.659	0.340	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.659	0.341	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.654	0.346	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.651	0.349	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.641	0.359	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.633	0.367	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.631	0.369	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.624	0.376	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.618	0.382	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.618	0.382	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.617	0.382	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.615	0.385	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.614	0.386	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.603	0.397	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.603	0.397	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.588	0.412	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.588	0.412	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.586	0.413	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.584	0.416	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.582	0.418	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.581	0.419	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.577	0.423	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.573	0.427	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.567	0.432	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.563	0.437	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.561	0.439	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.509	0.490	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.509	0.491	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.489	0.511	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.484	0.516	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.479	0.521	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.473	0.527	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.001	0.546	0.453
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.419	0.581	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.419	0.581	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.618	0.382
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.364	0.636	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.353	0.647	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.649	0.351
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.322	0.677	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.292	0.708	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.286	0.714	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.256	0.744	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.246	0.753	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.243	0.757	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.238	0.762	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.233	0.766	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.223	0.777	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.214	0.786	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.203	0.796	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.201	0.799	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.195	0.805	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.192	0.808	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.190	0.810	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.189	0.811	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.188	0.812	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.183	0.817	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.158	0.842	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.148	0.852	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.002	0.864	0.133
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.113	0.887	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.111	0.889	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.107	0.893	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.100	0.900	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.096	0.904	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.093	0.907	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.091	0.909	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.084	0.916	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.081	0.919	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.067	0.933	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.058	0.942	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.943	0.057
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.055	0.944	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.055	0.945	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.945	0.055
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.050	0.950	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.048	0.952	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.048	0.952	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.046	0.954	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.046	0.954	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.042	0.958	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.958	0.042
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.041	0.959	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.041	0.959	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.040	0.960	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.960	0.040
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.040	0.960	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.966	0.034
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.033	0.967	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.031	0.969	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.030	0.970	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.970	0.030
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.025	0.975	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.025	0.975	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.024	0.976	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.977	0.023
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.022	0.978	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.021	0.979	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.020	0.980	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.020	0.980	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.019	0.981	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.017	0.983	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.017	0.983	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.984	0.016
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.016	0.984	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.016	0.984	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.985	0.015
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.014	0.986	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.987	0.013
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.012	0.988	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.012	0.988	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.011	0.988	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.011	0.989	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.011	0.989	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.011	0.989	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.989	0.011
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.010	0.990	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.009	0.991	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.008	0.992	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.008	0.992	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.992	0.008
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.994	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.006	0.994	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.005	0.995	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	0.995	0.005
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.005	0.995	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.995	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.004	0.996	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.004	0.996	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.996	0.004
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rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	1.000	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	1.000	0.000
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	1.000	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	1.000	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	1.000	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	1.000	0.000
rs4485401 lBF = `-0.092486` Chr`16` : `76,566,157`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.7110

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4533

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3928

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3115

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

1.0000

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

1.0000

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

1.0000

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

1.0000

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

1.0000

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

1.0000

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

1.0000

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9999

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9999

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9999

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9999

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9999

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9999

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9999

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9999

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9998

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9998

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9998

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.9997

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9996

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9996

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9995

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9995

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9994

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9992

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9992

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9990

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9988

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9988

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9987

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9986

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9985

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9984

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9981

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.9979

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9975

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9975

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9974

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9973

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9968

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9963

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9962

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9962

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9960

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9954

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9949

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9945

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9939

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9932

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9925

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9909

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9908

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9907

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9906

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9904

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9904

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9901

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9898

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9896

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9895

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9869

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9862

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9812

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9809

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9807

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9801

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9793

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9775

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9761

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9711

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9702

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9662

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9631

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9630

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9621

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9557

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9511

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9499

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9494

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9439

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9426

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9412

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9380

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9377

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9287

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9155

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9153

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9115

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9102

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9037

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9031

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8991

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8985

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8968

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8935

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8908

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8879

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8850

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8841

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8831

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8828

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8763

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8762

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8731

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8692

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8666

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8656

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8647

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8641

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8617

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8570

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8550

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8505

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8494

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8468

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8459

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8409

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8303

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8287

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8282

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8281

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8167

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8159

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8142

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8095

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8065

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8019

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8018

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7967

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7916

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7835

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7792

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7772

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7726

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7687

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7585

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7469

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7286

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7238

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7157

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7151

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7026

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6962

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6817

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6808

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6755

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6712

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6706

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6699

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6606

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6556

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6511

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6443

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6395

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6317

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6263

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6242

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6201

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6189

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6133

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6038

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5798

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5795

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5658

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5649

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5216

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.5194

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5149

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5030

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4937

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4800

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4593

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4411

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4343

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4307

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4019

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3740

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3479

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3313

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3278

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2857

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2735

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2674

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2655

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2350

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2330

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2293

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.2029

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1848

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1650

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0765

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0547

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`)