TreeWAS – [I37] Pulmonary valve disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I37

Pulmonary valve disorders

Parent term	I30-I52 Other forms of heart disease
Nested terms	I37.0 Pulmonary valve stenosis I37.1 Pulmonary valve insufficiency I37.2 Pulmonary valve stenosis with insufficiency I37.8 Other pulmonary valve disorders I37.9 Pulmonary valve disorder, 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
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.923	0.077	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.863	0.137	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.803	0.197	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.784	0.216	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.779	0.221	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.763	0.237	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.745	0.255	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.743	0.257	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.721	0.279	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.717	0.283	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.717	0.283	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.717	0.283	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.717	0.283	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.717	0.283	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.717	0.283	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.716	0.284	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.715	0.285	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.714	0.286	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.714	0.286	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.714	0.286	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.713	0.287	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.713	0.287	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.712	0.287	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.709	0.291	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.708	0.292	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.708	0.292	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.707	0.293	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.704	0.296	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.704	0.296	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.702	0.298	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.702	0.298	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.702	0.298	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.701	0.299	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.701	0.299	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.700	0.300	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.700	0.300	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.699	0.301	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.698	0.302	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.696	0.304	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.692	0.308	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.688	0.311	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.683	0.317	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.681	0.319	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.676	0.324	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.675	0.325	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.675	0.325	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.664	0.336	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.664	0.336	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.657	0.343	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.648	0.352	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.641	0.359	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.632	0.368	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.631	0.369	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.624	0.376	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.619	0.381	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.613	0.387	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.594	0.406	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.587	0.413	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.566	0.434	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.566	0.434	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.565	0.435	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.565	0.435	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.564	0.436	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.438	0.562
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.446	0.554
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.540	0.460	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.539	0.461	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.524	0.476	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.506	0.494	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.495	0.505	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.489	0.511	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.485	0.515	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.475	0.524	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.449	0.551	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.555	0.445
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.441	0.559	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.415	0.584	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.406	0.594	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.389	0.611	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.343	0.656	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.671	0.328
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.303	0.697	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.290	0.710	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.279	0.721	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.265	0.735	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.260	0.740	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.230	0.770	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.195	0.805	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.194	0.806	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.815	0.184
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.176	0.824	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.171	0.829	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.165	0.835	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.134	0.866	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.134	0.866	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.133	0.867	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.128	0.872	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.120	0.880	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.118	0.882	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.105	0.895	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.087	0.913	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.081	0.919	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.080	0.920	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.069	0.931	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.067	0.933	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.064	0.935	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.063	0.937	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.058	0.942	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.945	0.055
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.050	0.950	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.046	0.953	0.001
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.046	0.954	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.041	0.959	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.040	0.960	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.038	0.961	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.039	0.961	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.038	0.962	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.037	0.963	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.033	0.964	0.003
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.033	0.967	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.967	0.032
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.968	0.032
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.031	0.969	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.030	0.970	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.028	0.971	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.028	0.972	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.028	0.972	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.028	0.972	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.028	0.972	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.027	0.973	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.026	0.974	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.025	0.974	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.023	0.977	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.020	0.980	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.020	0.980	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.019	0.980	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.018	0.981	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.017	0.982	0.001
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.018	0.982	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.982	0.018
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.016	0.983	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.016	0.984	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.014	0.986	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.014	0.986	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.989	0.011
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.010	0.990	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.009	0.990	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.008	0.991	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.991	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.992	0.008
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.007	0.993	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.007	0.993	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.007	0.993	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.007	0.993	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.006	0.993	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.006	0.993	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.006	0.994	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.994	0.006
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.994	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.005	0.995	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.005	0.995	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.005	0.995	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.004	0.996	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.004	0.996	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.996	0.004
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.996	0.004
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.996	0.004
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.004	0.996	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.996	0.004
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.003	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.997	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.997	0.003
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.003	0.997	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.997	0.003
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.998	0.002
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.998	0.002
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.002	0.998	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.002	0.998	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.002	0.998	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.002	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.001	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	0.999	0.001
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
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rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	1.000	0.000
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	1.000	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	1.000	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs3112612 lBF = `0.875649` Chr`16` : `52,635,164`	0.000	1.000	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	1.000	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	1.000	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	1.000	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.000	1.000	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	1.000	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	1.000	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	1.000	0.000
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.000	1.000	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	1.000	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.000	1.000	0.000
rs247617 lBF = `-0.0487085` Chr`16` : `56,990,716`	0.000	1.000	0.000
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.000	1.000	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	1.000	0.000
rs7404095 lBF = `-0.0575876` Chr`16` : `23,864,590`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	1.000	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	1.000	0.000
rs6563943 lBF = `-0.0859058` Chr`16` : `83,639,335`	0.000	1.000	0.000
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	1.000	0.000
rs12446319 lBF = `-0.126731` Chr`16` : `81,774,798`	0.000	1.000	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	1.000	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.6996

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5616

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5608

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5347

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9906

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9658

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9645

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9633

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9608

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9582

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9566

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9557

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9444

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9384

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9265

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9207

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9108

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9030

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9018

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8983

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8860

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8853

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8843

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8834

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8730

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8722

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8702

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8702

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8699

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8696

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8695

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8638

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8601

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8511

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8509

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8501

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8450

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8420

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8419

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8376

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8370

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8348

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8320

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8290

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8269

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8268

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8266

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8236

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8193

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8126

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8120

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8075

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8057

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8049

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8028

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8012

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7988

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7949

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7948

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7946

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7940

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7908

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7883

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7874

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7870

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7854

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7827

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7826

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7809

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7780

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7762

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7759

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7749

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7732

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7726

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7718

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7693

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7671

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7665

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7645

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7634

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7627

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7617

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7616

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7556

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7552

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7536

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7498

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7489

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7409

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7393

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7379

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7347

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7334

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7293

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7237

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7217

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7166

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7165

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7149

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7131

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7123

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7093

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7083

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7062

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7026

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6958

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.6938

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6801

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6677

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6622

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.6553

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6533

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6420

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6352

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6161

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6089

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6010

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5803

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5528

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5190

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4918

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4817

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4574

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4260

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3962

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3816

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3715

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3324

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3240

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1518

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1365

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0976

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0909

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0798

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0786

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`)