TreeWAS – [K13.6] Irritative hyperplasia of oral mucosa

Variant effects

Click on a variant to see its association results.

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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
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.809	0.191	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.720	0.280	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.672	0.328	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.619	0.381	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.596	0.404	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.587	0.412	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.557	0.443	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.554	0.446	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.513	0.487	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.497	0.503	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.496	0.504	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.486	0.514	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.482	0.518	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.478	0.522	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.457	0.543	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.444	0.556	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.437	0.563	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.433	0.567	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.432	0.568	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.430	0.570	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.425	0.575	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.403	0.597	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.398	0.601	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.398	0.602	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.392	0.607	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.387	0.612	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.385	0.614	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.376	0.624	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.364	0.636	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.349	0.651	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.344	0.655	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.303	0.697	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.297	0.702	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.296	0.704	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.242	0.758	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.229	0.771	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.223	0.776	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.219	0.781	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.214	0.786	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.203	0.797	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.201	0.798	0.001
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.200	0.799	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.198	0.802	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.192	0.808	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.189	0.811	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.172	0.828	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.169	0.831	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.167	0.833	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.148	0.852	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.132	0.867	0.001
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.126	0.874	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.122	0.878	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.119	0.881	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.110	0.889	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.105	0.895	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.104	0.896	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.095	0.905	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.088	0.912	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.085	0.915	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.084	0.916	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.075	0.925	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.073	0.927	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.068	0.931	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.065	0.935	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.062	0.937	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.061	0.939	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.060	0.940	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.058	0.941	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.058	0.942	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.056	0.944	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.056	0.944	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.055	0.945	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.054	0.945	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.053	0.947	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.050	0.950	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.049	0.950	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.049	0.951	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.048	0.951	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.046	0.953	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.046	0.954	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.045	0.955	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.042	0.958	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.041	0.959	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.041	0.959	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.037	0.962	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.035	0.965	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.033	0.966	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.033	0.967	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.032	0.968	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.029	0.971	0.001
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.029	0.971	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.029	0.971	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.028	0.971	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.026	0.974	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.026	0.974	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.026	0.974	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.025	0.975	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.022	0.978	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.019	0.981	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.019	0.981	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.018	0.982	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.016	0.984	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.016	0.984	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.014	0.985	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.014	0.986	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.013	0.987	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.011	0.989	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.011	0.989	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.010	0.989	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.990	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.010	0.990	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.008	0.992	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.008	0.992	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.007	0.993	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.006	0.994	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.994	0.006
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.005	0.994	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.994	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.005	0.995	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.005	0.995	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.005	0.995	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.005	0.995	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.995	0.005
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.995	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.004	0.996	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.004	0.996	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.004	0.996	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.003	0.996	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.004	0.996	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.003	0.996	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.003	0.997	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.003	0.997	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.003	0.997	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	0.997	0.003
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.002	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.002	0.998	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.002	0.998	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.002	0.998	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	0.998	0.002
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.002	0.998	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.002	0.998	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.002	0.998	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.002	0.998	0.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.002	0.998	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	0.998	0.002
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.002	0.998	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.002	0.998	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.001	0.998	0.001
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.002	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.998	0.001
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.001	0.998	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.001	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.998	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	0.998	0.001
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.001	0.998	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.001	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs4784165 lBF = `-0.0671462` Chr`16` : `52,347,819`	0.001	0.999	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.001	0.999	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.001	0.999	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	0.999	0.001
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.001	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.001
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs631208 lBF = `-0.0930504` Chr`16` : `9,399,724`	0.001	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.999	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	0.999	0.001
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.999	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.999	0.001
rs6563898 lBF = `-0.136302` Chr`16` : `83,358,776`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.001
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.999	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.001	0.999	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.001	0.999	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.999	0.000
rs305080 lBF = `-0.0959654` Chr`16` : `85,941,774`	0.001	0.999	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.001	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	0.999	0.001
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rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	0.999	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	0.999	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	0.999	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.000	1.000	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	1.000	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	1.000	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	1.000	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	1.000	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	1.000	0.000
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	1.000	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	1.000	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	1.000	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	1.000	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	1.000	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	1.000	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	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
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
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	1.000	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	1.000	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	1.000	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	1.000	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	1.000	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9700

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9602

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9255

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8654

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8367

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8259

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8243

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8182

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7823

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7630

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7542

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7120

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7100

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6959

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6812

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6751

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6743

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6662

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6656

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6524

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6270

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6231

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6226

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5948

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5827

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5825

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5782

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5671

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5596

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5581

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5335

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5228

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5200

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5153

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4933

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4914

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4778

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4767

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4715

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4644

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4627

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4573

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4559

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4477

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4457

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4448

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4431

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4415

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4250

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4239

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3994

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3977

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3941

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3867

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3768

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3720

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3708

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3690

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3671

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3656

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3547

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3533

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3508

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3486

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3454

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3419

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3404

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3363

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3349

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3195

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3121

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3041

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3015

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2806

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2800

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2761

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2744

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2685

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2566

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2537

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2532

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2531

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2530

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2500

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2335

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2334

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2320

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2301

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2273

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2249

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2245

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2213

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2212

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2189

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2121

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2098

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2098

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2079

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2045

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1996

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1906

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1902

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1877

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1875

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1854

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1849

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1843

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1832

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1784

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1754

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1744

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1724

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1693

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1688

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1683

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1678

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1614

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1581

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1552

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1517

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1492

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1477

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1437

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1413

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1353

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1306

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1305

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1275

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1264

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1259

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1253

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1236

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1150

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1098

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1017

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0795

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0670

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0606

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0562

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0543

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0504

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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)