TreeWAS – [I35] Nonrheumatic aortic valve disorders

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

I35

Nonrheumatic aortic valve disorders

Parent term	I30-I52 Other forms of heart disease
Nested terms	I35.0 Aortic (valve) stenosis I35.1 Aortic (valve) insufficiency I35.2 Aortic (valve) stenosis with insufficiency I35.8 Other aortic valve disorders I35.9 Aortic 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
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.996	0.004	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.988	0.012	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.984	0.016	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.930	0.070	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.921	0.079	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.100	0.900
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.867	0.133	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.865	0.135	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.865	0.135	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.857	0.143	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.852	0.148	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.852	0.148	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.823	0.177	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.822	0.178	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.821	0.179	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.819	0.181	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.803	0.197	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.800	0.200	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.781	0.219	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.769	0.231	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.755	0.245	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.251	0.749
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.738	0.262	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.726	0.274	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.724	0.275	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.721	0.279	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.719	0.281	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.702	0.298	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.693	0.307	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.687	0.313	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.685	0.315	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.678	0.322	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.678	0.322	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.670	0.330	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.666	0.334	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.665	0.335	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.638	0.362	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.619	0.381	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.617	0.383	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.612	0.388	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.571	0.429	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.571	0.429	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.567	0.433	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.565	0.435	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.561	0.438	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.555	0.445	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.551	0.449	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.542	0.458	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.535	0.465	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.533	0.466	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.513	0.487	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.512	0.488	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.509	0.491	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.494	0.506
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.505	0.495	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.499	0.501	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.495	0.505	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.487	0.512	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.487	0.513	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.477	0.523	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.473	0.527	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.468	0.532	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.452	0.548	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.437	0.563	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.434	0.566	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.415	0.584	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.413	0.587	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.401	0.599	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.391	0.609	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.388	0.612	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.339	0.660	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.331	0.668	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.320	0.680	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.320	0.680	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.315	0.685	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.308	0.692	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.278	0.722	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.277	0.723	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.761	0.239
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.233	0.766	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.225	0.775	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.223	0.776	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.222	0.777	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.220	0.779	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.211	0.788	0.001
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.178	0.822	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.171	0.829	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.164	0.835	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.855	0.145
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.004	0.859	0.137
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.137	0.863	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.130	0.870	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.128	0.872	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.125	0.875	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.109	0.891	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.101	0.899	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.099	0.901	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.092	0.908	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.910	0.090
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.089	0.910	0.001
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.084	0.916	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.082	0.917	0.001
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.081	0.919	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.080	0.920	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.079	0.921	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.923	0.077
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.069	0.931	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.069	0.931	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.938	0.062
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.059	0.940	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.056	0.944	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.945	0.055
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.054	0.945	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.054	0.946	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.947	0.053
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.952	0.048
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.048	0.952	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.047	0.953	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.041	0.959	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.039	0.961	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.038	0.962	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.038	0.962	0.001
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.962	0.038
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.035	0.964	0.001
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.033	0.965	0.002
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.034	0.966	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.034	0.966	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.032	0.968	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.031	0.968	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.031	0.969	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.029	0.970	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.029	0.971	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.027	0.972	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.027	0.973	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.027	0.973	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.025	0.975	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.024	0.976	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.023	0.977	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.022	0.978	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.978	0.022
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.021	0.979	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.021	0.979	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.021	0.979	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.020	0.980	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.020	0.980	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	0.980	0.020
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.019	0.981	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.016	0.983	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.985	0.015
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.014	0.986	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.012	0.987	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.013	0.987	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.012	0.988	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	0.988	0.012
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	0.989	0.011
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.011	0.989	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.990	0.010
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.009	0.991	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.009	0.991	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.009	0.991	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.009	0.991	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.991	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.008	0.992	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.992	0.008
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.007	0.993	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.006	0.994	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.006	0.994	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.006	0.994	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.994	0.006
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.006	0.994	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.006	0.994	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.005	0.995	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.005	0.995	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.005	0.995	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.005	0.995	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.005	0.995	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.004	0.995	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.995	0.004
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.996	0.004
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.996	0.004
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	0.996	0.004
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.004	0.996	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.004	0.996	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.003	0.996	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.996	0.004
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.004	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
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.003	0.997	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.003	0.997	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.003	0.997	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	0.997	0.003
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.003	0.997	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.997	0.003
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
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rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	1.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	1.000	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.000	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	1.000	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	0.000	1.000	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	1.000	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	1.000	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	1.000	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	1.000	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	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

1.0000

Cluster X0096

log Bayes Factor = 8.06962

contains 1 variants

0.9989

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.6725

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1630

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1367

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9999

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9997

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9997

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9997

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9996

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9996

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9994

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9992

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9986

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9986

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9984

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9984

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9984

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9978

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9977

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9977

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9972

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9971

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9970

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9968

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9955

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9948

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9942

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9928

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9919

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9894

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9856

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9830

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9817

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9809

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9783

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9767

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9767

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9639

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9596

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9523

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9508

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9491

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9485

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9402

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9346

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9304

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9218

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9194

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9174

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9153

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9054

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9050

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8998

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8944

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8878

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8873

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8696

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8665

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8606

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8604

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8531

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8484

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8178

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8109

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7969

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7855

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7835

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7757

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7664

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7660

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7649

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7490

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7346

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7295

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7225

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7215

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6977

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6956

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6806

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6790

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6417

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6285

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6273

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6038

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5994

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5887

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5516

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5312

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5136

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5025

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4987

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4875

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4746

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4720

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4681

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4669

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4646

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4520

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4422

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4255

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4211

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4079

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3850

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.3751

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3697

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3315

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3102

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2941

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2924

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2763

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2307

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2281

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2198

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2173

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2166

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1726

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1708

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.1611

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1511

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1379

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1341

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1292

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1241

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1123

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1061

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1038

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0988

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.0968

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0963

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0958

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0893

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0733

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0725

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0708

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0617

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`)