TreeWAS – [N37] Urethral disorders in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N37

Urethral disorders in diseases classified elsewhere

Parent term	N30-N39 Other diseases of urinary system
Nested terms	N37.0 Urethritis in diseases classified elsewhere N37.8 Other urethral disorders in diseases classified elsewhere

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Variant effects

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.716	0.283	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.285	0.714
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.713	0.287	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.712	0.288	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.710	0.290	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.707	0.293	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.706	0.294	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.699	0.301	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.695	0.305	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.682	0.318	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.674	0.326	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.671	0.328	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.663	0.337	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.661	0.339	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.650	0.350	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.626	0.374	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.625	0.375	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.618	0.382	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.605	0.395	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.592	0.408	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.581	0.419	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.580	0.420	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.565	0.435	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.563	0.437	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.549	0.451	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.537	0.463	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.531	0.469	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.521	0.479	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.504	0.496	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.499	0.500	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.494	0.506	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.483	0.517	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.466	0.533	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.458	0.542	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.447	0.553	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.443	0.557	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.443	0.557	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.435	0.565	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.426	0.574	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.392	0.608	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.385	0.615	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.384	0.616	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.372	0.628	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.359	0.641	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.348	0.652	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.344	0.656	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.316	0.684	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.308	0.692	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.299	0.701	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.289	0.711	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.287	0.713	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.286	0.714	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.717	0.283
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.277	0.723	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.264	0.736	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.258	0.741	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.234	0.765	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.223	0.776	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.196	0.804	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.184	0.816	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.179	0.821	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.176	0.824	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.170	0.830	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.167	0.833	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.154	0.846	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.151	0.849	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.147	0.853	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.137	0.863	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.137	0.863	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.132	0.868	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.129	0.871	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.117	0.882	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.114	0.886	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.104	0.896	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.101	0.899	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.100	0.900	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.098	0.901	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.091	0.908	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.091	0.909	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.090	0.910	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.086	0.914	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.084	0.916	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.078	0.922	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.074	0.926	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.073	0.927	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.069	0.931	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.067	0.933	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.060	0.940	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.052	0.948	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.050	0.950	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.050	0.950	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.049	0.951	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.048	0.951	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.048	0.951	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.048	0.952	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.045	0.955	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.043	0.956	0.001
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.041	0.959	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.038	0.962	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.030	0.970	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.029	0.971	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.028	0.972	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.028	0.972	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.027	0.973	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.026	0.974	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.023	0.975	0.002
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.021	0.978	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.021	0.979	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.020	0.979	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.019	0.981	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.018	0.982	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.015	0.985	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.015	0.985	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.013	0.987	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.012	0.988	0.001
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.012	0.988	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.012	0.988	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.012	0.988	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.011	0.989	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.010	0.990	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.010	0.990	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	0.990	0.009
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.009	0.991	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.009	0.991	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.008	0.992	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.008	0.992	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.008	0.992	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.006	0.994	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.994	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.005	0.994	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.005	0.994	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.005	0.995	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.005	0.995	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.005	0.995	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.004	0.996	0.001
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.004	0.996	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.003	0.996	0.001
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.996	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.003	0.997	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.002	0.997	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.002	0.997	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.002	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.997	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	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
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.001	0.998	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.998	0.001
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.001	0.998	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.999	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	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
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.999	0.001
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.001	0.999	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.001
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
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rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	1.000	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	1.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.000	1.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.000	1.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	1.000	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.000	1.000	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.000	1.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.000	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	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
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.000	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	1.000	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	1.000	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	1.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.000	1.000	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	1.000	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	1.000	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	1.000	0.000
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	0.000	1.000	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.000	1.000	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.000	1.000	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	1.000	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.000	1.000	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7169

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7145

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0717

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7164

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7163

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7161

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7158

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7156

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7152

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7152

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7151

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7147

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7143

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7142

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7122

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7115

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7094

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7090

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7087

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7052

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7019

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7007

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7004

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6964

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6958

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6957

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6881

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6853

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6714

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6696

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6633

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6604

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6569

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6560

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6367

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6358

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6266

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6190

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6166

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6016

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5970

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5929

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5871

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5751

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5646

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5497

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5384

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5321

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5313

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5144

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4797

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4698

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4684

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4650

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4618

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4557

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4450

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4265

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4130

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4040

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4005

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3923

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3700

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3386

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3367

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3342

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3340

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3032

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2841

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2824

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2738

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2649

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2577

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2480

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2429

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2411

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2393

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2371

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2160

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2076

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1912

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1841

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1674

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1458

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1358

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1225

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1192

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1038

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0982

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0967

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0905

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0829

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0827

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0819

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0813

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0797

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0753

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0715

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0703

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0688

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0656

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0628

Cluster X0183

log Bayes Factor = 32.7444

contains 2 variants

0.0616

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0614

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0592

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0579

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0556

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0545

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0527

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`)