TreeWAS – [I05] Rheumatic mitral valve diseases

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I05

Rheumatic mitral valve diseases

Parent term	I05-I09 Chronic rheumatic heart diseases
Nested terms	I05.0 Mitral stenosis I05.1 Rheumatic mitral insufficiency I05.2 Mitral stenosis with insufficiency I05.8 Other mitral valve diseases I05.9 Mitral valve disease, unspecified

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Variant effects

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.968	0.032	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.962	0.038	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.880	0.120	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.811	0.189	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.803	0.197	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.799	0.201	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.798	0.202	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.796	0.204	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.779	0.221	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.762	0.238	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.761	0.239	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.761	0.239	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.746	0.254	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.742	0.258	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.728	0.272	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.719	0.281	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.714	0.286	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.699	0.301	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.698	0.302	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.693	0.306	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.687	0.313	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.685	0.315	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.684	0.316	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.683	0.317	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.675	0.325	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.672	0.328	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.665	0.335	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.655	0.345	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.642	0.357	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.638	0.362	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.629	0.371	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.618	0.382	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.615	0.385	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.610	0.390	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.606	0.394	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.606	0.394	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.602	0.398	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.599	0.401	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.597	0.403	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.595	0.405	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.580	0.420	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.575	0.425	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.574	0.426	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.572	0.428	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.570	0.430	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.570	0.430	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.567	0.433	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.565	0.435	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.561	0.438	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.557	0.443	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.555	0.445	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.555	0.445	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.553	0.447	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.549	0.451	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.545	0.455	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.541	0.459	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.541	0.459	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.539	0.461	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.537	0.463	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.532	0.467	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.532	0.468	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.530	0.470	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.528	0.472	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.527	0.473	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.513	0.487	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.510	0.489	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.509	0.491	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.509	0.491	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.506	0.494	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.503	0.497	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.494	0.506	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.493	0.507	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.492	0.507	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.492	0.508	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.488	0.512	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.487	0.513	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.485	0.515	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.483	0.516	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.482	0.518	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.480	0.520	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.475	0.525	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.471	0.529	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.470	0.529	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.470	0.529	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.460	0.540	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.459	0.541	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.452	0.548	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.448	0.552	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.438	0.561	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.438	0.562	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.432	0.568	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.569	0.431
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.428	0.572	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.427	0.572	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.420	0.579	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.412	0.588	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.595	0.404
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.398	0.602	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.357	0.643	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.351	0.649	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.316	0.684	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.306	0.694	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.291	0.709	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.273	0.727	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.263	0.737	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.251	0.749	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.760	0.240
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.223	0.776	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.220	0.780	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.220	0.780	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.001	0.801	0.197
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.805	0.195
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.182	0.817	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.173	0.827	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.171	0.829	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.159	0.841	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.146	0.854	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.146	0.854	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.862	0.138
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.135	0.865	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.133	0.867	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.115	0.885	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.113	0.886	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.106	0.894	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.103	0.897	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.101	0.899	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.093	0.907	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.086	0.914	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.083	0.917	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.082	0.918	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.080	0.920	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.076	0.924	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.070	0.930	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.069	0.931	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.061	0.939	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.060	0.940	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.058	0.942	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.047	0.953	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.045	0.955	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.962	0.038
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.037	0.963	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.963	0.037
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.036	0.964	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.036	0.964	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.036	0.964	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.966	0.034
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.032	0.968	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.031	0.968	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.032	0.968	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.029	0.971	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.027	0.973	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.027	0.973	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.026	0.974	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.025	0.975	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.024	0.976	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.024	0.976	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.023	0.977	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.023	0.977	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.022	0.978	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.022	0.978	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.978	0.022
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.979	0.021
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.020	0.979	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.979	0.020
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.020	0.980	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.018	0.981	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	0.982	0.018
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.982	0.018
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.983	0.017
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	0.983	0.017
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.016	0.984	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.013	0.987	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.988	0.012
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.012	0.988	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.012	0.988	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.011	0.989	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.010	0.990	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.009	0.991	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.009	0.991	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.009	0.991	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.008	0.991	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.991	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	0.991	0.009
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.008	0.991	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.008	0.992	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.001	0.992	0.007
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.007	0.992	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.007	0.992	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.993	0.007
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.007	0.993	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.993	0.007
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.007	0.993	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.006	0.994	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.006	0.994	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.006	0.994	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.006	0.994	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.005	0.994	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	0.995	0.005
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Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.001	0.999	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.001	0.999	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.001	0.999	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.001	0.999	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	0.999	0.001
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.001	0.999	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	0.999	0.001
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	0.999	0.001
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	0.999	0.001
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.001	0.999	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.001	0.999	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.001	0.999	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.001	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.001	0.999	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.000	0.999	0.001
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.999	0.001
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.000	0.999	0.001
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	0.999	0.001
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.001	0.999	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	0.999	0.001
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	0.999	0.001
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	0.999	0.001
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	0.999	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.001	0.999	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	0.999	0.000
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.000	0.999	0.001
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.001	0.999	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.001	0.999	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.001	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.999	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	0.999	0.001
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.001	0.999	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	0.999	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.000	0.999	0.001
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	0.999	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	0.999	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.000	0.999	0.001
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	0.999	0.001
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	0.999	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.999	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.999	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	0.999	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.999	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs7404928 lBF = `0.00128759` Chr`16` : `23,888,840`	0.000	0.999	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.001	0.999	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.001	0.999	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	0.999	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	0.999	0.001
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	0.999	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	0.999	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.000	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	1.000	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.000	1.000	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	1.000	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	1.000	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	1.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	1.000	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	1.000	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	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
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	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

0.9980

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4044

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2041

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0760

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9995

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9995

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9993

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9989

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9986

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9981

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9979

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9978

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9977

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9977

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9977

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9975

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9966

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9964

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9954

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9926

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9925

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9908

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9902

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9893

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9893

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9892

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9888

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9884

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9879

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9867

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9849

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9836

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9809

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9795

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9772

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9766

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9753

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9745

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9724

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9717

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9708

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9707

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9704

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9682

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9669

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9653

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9628

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9624

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9603

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9597

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9590

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9589

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9578

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9569

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9565

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9563

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9545

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9514

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9507

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9507

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9458

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9448

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9431

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9431

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9409

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9368

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9358

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9342

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9333

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9331

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9320

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9274

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9270

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9250

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9241

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9241

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9228

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9217

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9161

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9156

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9149

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9120

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9093

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9083

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9082

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9042

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9035

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9003

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8968

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8957

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8918

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8916

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8873

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8859

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8848

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.8848

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8844

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8807

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8805

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8775

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8748

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8744

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8737

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8668

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8636

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8620

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8618

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8544

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8512

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8507

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8500

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8493

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8431

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8361

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8360

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8293

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8289

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8257

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8186

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8184

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.8088

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7945

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7935

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7901

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7799

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7733

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7720

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7709

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7625

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7622

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7620

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7620

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7610

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7601

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7540

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7529

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7487

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7461

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7324

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7298

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7200

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7142

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7134

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7101

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7012

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6987

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6966

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6944

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6885

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6881

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6825

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6766

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6670

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6641

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6627

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6577

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6471

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6311

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6132

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5884

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5785

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5777

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5749

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5698

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5563

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5538

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5186

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5066

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5046

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4993

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4987

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4804

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4795

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4762

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4702

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4549

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4383

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4350

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4321

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4318

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4173

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4154

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4112

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4098

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3966

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3845

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3763

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.3632

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3604

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3492

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3104

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2624

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2421

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2363

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1743

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1687

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1440

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1376

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0864

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0667

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0593

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0522

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`)