TreeWAS – [N30] Cystitis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N30

Cystitis

Parent term	N30-N39 Other diseases of urinary system
Nested terms	N30.0 Acute cystitis N30.1 Interstitial cystitis (chronic) N30.2 Other chronic cystitis N30.3 Trigonitis N30.4 Irradiation cystitis N30.8 Other cystitis N30.9 Cystitis, 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
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.977	0.023	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.966	0.034	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.937	0.063	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.921	0.079	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.760	0.240	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.749	0.251	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.722	0.278	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.716	0.284	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.698	0.302	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.692	0.308	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.659	0.341	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.656	0.344	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.633	0.366	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.617	0.383	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.397	0.603
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.597	0.403	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.582	0.418	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.555	0.445	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.542	0.458	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.535	0.465	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.525	0.475	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.510	0.490	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.508	0.492	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.499	0.501	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.494	0.506	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.492	0.508	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.475	0.525	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.469	0.530	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.464	0.536	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.451	0.549	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.417	0.583	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.393	0.607	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.390	0.610	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.387	0.613	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.380	0.619	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.374	0.626	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.364	0.635	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.354	0.646	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.350	0.650	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.661	0.339
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.336	0.664	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.335	0.665	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.331	0.669	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.329	0.671	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.305	0.695	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.291	0.709	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.290	0.709	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.279	0.721	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.272	0.728	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.258	0.741	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.250	0.750	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.229	0.771	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.227	0.773	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.225	0.775	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.208	0.792	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.205	0.795	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.184	0.815	0.001
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.170	0.830	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.167	0.833	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.163	0.837	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.154	0.845	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.152	0.848	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.150	0.849	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.143	0.857	0.001
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.141	0.859	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.139	0.860	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.139	0.861	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.139	0.861	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.137	0.862	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.133	0.867	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.127	0.873	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.120	0.880	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.111	0.889	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.101	0.899	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.098	0.902	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.091	0.909	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.086	0.914	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.086	0.914	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.080	0.920	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`	0.071	0.929	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.068	0.932	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.067	0.933	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.061	0.939	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.059	0.940	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.057	0.943	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.051	0.949	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.047	0.953	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.047	0.953	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.047	0.953	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.044	0.956	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.041	0.959	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.035	0.965	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.033	0.967	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.028	0.972	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.026	0.973	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	0.976	0.024
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.023	0.977	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.022	0.978	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.021	0.979	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.017	0.983	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.017	0.983	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.016	0.983	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.014	0.986	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.012	0.987	0.001
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.012	0.988	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.012	0.988	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.012	0.988	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.012	0.988	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.012	0.988	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.011	0.989	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.010	0.990	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.009	0.990	0.001
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.009	0.991	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.008	0.991	0.001
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.006	0.991	0.003
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.008	0.992	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.992	0.008
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.008	0.992	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.007	0.993	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.006	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	0.994	0.006
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.005	0.995	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.995	0.005
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.005	0.995	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.005	0.995	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.995	0.005
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.005	0.995	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.005	0.995	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.005	0.995	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.996	0.004
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.004	0.996	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.004	0.996	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.004	0.996	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.003	0.996	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.003	0.997	0.001
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.003	0.997	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	0.997	0.003
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.003	0.997	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.997	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.002	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.997	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.002	0.998	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.001	0.998	0.001
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	0.998	0.002
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.002	0.998	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	0.998	0.002
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	0.998	0.002
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.002	0.998	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.998	0.002
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	0.998	0.002
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
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.001	0.999	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.001	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	0.999	0.001
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	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
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.001	0.999	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	0.999	0.001
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.001	0.999	0.000
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
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	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
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	0.999	0.001
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	0.999	0.001
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	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
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
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rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
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rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.000	1.000	0.000
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	1.000	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	1.000	0.000
rs1902813 lBF = `-0.0220168` Chr`16` : `20,057,661`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.000	1.000	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.000	1.000	0.000
rs2001970 lBF = `-0.0944758` Chr`16` : `55,255,191`	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
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.000	1.000	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	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
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs12926725 lBF = `-0.0235384` Chr`16` : `20,059,677`	0.000	1.000	0.000
rs12596252 lBF = `-0.0307697` Chr`16` : `20,056,993`	0.000	1.000	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	1.000	0.000
rs1981483 lBF = `0.0161886` Chr`16` : `630,665`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	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

0.8686

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6034

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9999

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9993

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9983

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9958

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9951

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9841

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9747

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9715

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9675

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9663

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9651

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9616

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9544

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9458

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9293

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9279

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9228

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9138

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8949

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8902

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8570

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8506

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8310

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7972

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7685

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7457

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7445

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6841

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6690

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6579

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6573

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6530

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6456

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6363

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6351

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5472

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5367

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5365

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5230

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5140

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4946

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4849

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4485

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4392

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4173

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3677

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3645

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3613

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3421

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3200

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3164

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3082

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3073

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2717

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2658

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2575

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2537

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2446

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2444

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2400

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2377

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2365

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1961

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1896

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1780

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1709

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1694

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1509

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1501

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1397

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1359

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1231

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1227

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1208

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1042

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1013

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0996

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0953

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0929

Cluster X0183

log Bayes Factor = 32.7444

contains 2 variants

0.0884

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0836

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0784

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0762

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0729

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0683

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0678

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0623

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0589

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0564

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0536

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0527

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0509

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0502

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`)