TreeWAS – [K00.8] Other disorders of tooth development

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`	0.582	0.418	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.556	0.443	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.505	0.495	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.500	0.500	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.499	0.501	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.499	0.501	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.487	0.513	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.484	0.516	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.480	0.520	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.472	0.528	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.472	0.528	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.471	0.529	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.458	0.542	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.441	0.558	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.438	0.562	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.435	0.564	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.433	0.567	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.433	0.567	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.428	0.572	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.419	0.581	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.410	0.590	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.405	0.595	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.400	0.600	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.400	0.600	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.396	0.604	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.394	0.606	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.380	0.620	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.375	0.625	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.364	0.636	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.355	0.645	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.350	0.650	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.316	0.684	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.311	0.689	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.303	0.697	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.291	0.709	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.263	0.736	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.247	0.753	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.244	0.755	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.241	0.759	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.239	0.761	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.229	0.771	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.225	0.774	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.223	0.776	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.216	0.783	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.209	0.790	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.206	0.793	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.200	0.800	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.198	0.802	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.195	0.805	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.185	0.815	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.172	0.828	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.148	0.851	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.139	0.861	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.133	0.866	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.125	0.875	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.122	0.878	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.119	0.881	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.111	0.889	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.104	0.895	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.098	0.902	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.096	0.904	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.095	0.905	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.095	0.905	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.088	0.912	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.084	0.916	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.082	0.918	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.072	0.928	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.072	0.928	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.070	0.930	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.068	0.931	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.068	0.932	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.068	0.932	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.065	0.935	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.056	0.943	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.056	0.944	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.056	0.944	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.055	0.945	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.055	0.945	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.052	0.947	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.051	0.949	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.051	0.949	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`	0.047	0.952	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.045	0.954	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.039	0.960	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.039	0.960	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.039	0.960	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.039	0.960	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.038	0.962	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.037	0.963	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.036	0.964	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.035	0.965	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.032	0.967	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.031	0.969	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.030	0.969	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.028	0.972	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.027	0.973	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.027	0.973	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.027	0.973	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.024	0.975	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.021	0.979	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.018	0.982	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.016	0.984	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.015	0.984	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.015	0.985	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.014	0.986	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.013	0.987	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.013	0.987	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.012	0.987	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.012	0.988	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.012	0.988	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	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`	0.008	0.992	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.007	0.993	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.007	0.993	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.005	0.994	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.005	0.995	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.005	0.995	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.005	0.995	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.004	0.995	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.995	0.004
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.995	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.004	0.996	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.004	0.996	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.004	0.996	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.996	0.004
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.004	0.996	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.003	0.996	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.003	0.996	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.003	0.997	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.003	0.997	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.003	0.997	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.002
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.002	0.998	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.002	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.002	0.998	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.002	0.998	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.998	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.001
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
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
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.001	0.999	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.001	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.999	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	0.999	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.999	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.001	0.999	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.001
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.001	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.001
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	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
rs143132326 lBF = `0` Chr`16` : `60,734,667`	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
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
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rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	0.999	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	0.999	0.000
rs7190997 lBF = `0.0229797` Chr`16` : `31,368,178`	0.000	0.999	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.000	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	0.999	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	0.999	0.000
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	0.999	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	0.999	0.000
rs2343519 lBF = `-0.060762` Chr`16` : `6,128,520`	0.000	0.999	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	0.999	0.000
rs9924951 lBF = `-0.0917043` Chr`16` : `7,504,854`	0.000	0.999	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.000	0.999	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	0.999	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.999	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	0.999	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	0.999	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	0.999	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.999	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	0.999	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.999	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	0.999	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	0.999	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	0.999	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	0.999	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	0.999	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.999	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	0.999	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.000	0.999	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	0.999	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.999	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	0.999	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	0.999	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	0.999	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	0.999	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	0.999	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.000	0.999	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	0.999	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	0.999	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	0.999	0.000
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.000	0.999	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	0.999	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	0.999	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	0.999	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	0.999	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	0.999	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.999	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.999	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.000	0.999	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.000	0.999	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	0.999	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	0.999	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	0.999	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.999	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	0.999	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.999	0.000
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.000	0.999	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	0.999	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	0.999	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	0.999	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	0.999	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	0.999	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	0.999	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	0.999	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	0.999	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	0.999	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	0.999	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	0.999	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	0.999	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	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 X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7051

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7017

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6969

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6943

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6893

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6848

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6843

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6838

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6787

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6691

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6641

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6629

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6617

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6616

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6610

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6575

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6555

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6549

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6537

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6517

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6509

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6504

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6479

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6475

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6466

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6440

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6436

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6420

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6416

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6414

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6367

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6359

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6347

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6335

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6322

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6316

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6315

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6296

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6276

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6256

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6224

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6223

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6222

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6193

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6132

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6128

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6095

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6090

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6073

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6062

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6059

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6027

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6014

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6013

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5986

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5986

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5964

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5960

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5949

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5929

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5918

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5909

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5904

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5870

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5843

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5834

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5816

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5753

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5751

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5729

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5725

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5698

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5671

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5666

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5650

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5643

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5634

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5633

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5594

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5585

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5580

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5575

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5551

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5541

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5523

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5517

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5514

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5482

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5471

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5442

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5423

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5420

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5415

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5405

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5387

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5359

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5356

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5286

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5263

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5259

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5244

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5237

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5157

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5151

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5139

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5137

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5129

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5126

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5086

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5062

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5061

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4915

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4914

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4899

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4801

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4794

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4773

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4734

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4663

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4328

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4194

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4156

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3980

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3940

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3828

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3726

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2825

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2277

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2166

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1986

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1667

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1182

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1023

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0899

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0672

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`)