TreeWAS – [N85.1] Endometrial adenomatous hyperplasia

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
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.719	0.281	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.715	0.285	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.640	0.359	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.634	0.366	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.618	0.382	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.617	0.383	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.604	0.396	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.568	0.432	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.541	0.459	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.535	0.465	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.519	0.481	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.445	0.554	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.444	0.555	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.422	0.578	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.421	0.579	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.399	0.601	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.362	0.638	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.341	0.659	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.320	0.679	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.309	0.691	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.280	0.720	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.272	0.728	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.254	0.746	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.219	0.781	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.786	0.214
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.209	0.790	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.190	0.810	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.177	0.822	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.177	0.823	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.167	0.833	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.160	0.839	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.154	0.846	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.118	0.882	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.114	0.886	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.110	0.890	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.104	0.896	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.101	0.899	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.099	0.900	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.092	0.908	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.087	0.913	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.083	0.916	0.001
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.081	0.918	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.081	0.918	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.076	0.923	0.001
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.071	0.929	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.069	0.930	0.001
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.066	0.934	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.061	0.939	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.942	0.058
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.053	0.947	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.047	0.953	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.046	0.954	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.045	0.955	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.034	0.966	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.033	0.967	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	0.976	0.024
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.023	0.977	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.015	0.978	0.007
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.021	0.979	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.017	0.983	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.015	0.985	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.985	0.015
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.013	0.987	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.012	0.988	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.011	0.988	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.011	0.989	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.009	0.991	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.009	0.991	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.008	0.992	0.000
rs9924951 lBF = `-0.0917043` Chr`16` : `7,504,854`	0.008	0.992	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.008	0.992	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.007	0.992	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.007	0.993	0.001
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	0.993	0.007
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.007	0.993	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.006	0.994	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.006	0.994	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.006	0.994	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.005	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.994	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.005	0.995	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.005	0.995	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.005	0.995	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.004	0.995	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.004	0.996	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.004	0.996	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.996	0.004
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.996	0.004
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.004	0.996	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	0.997	0.003
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.003	0.997	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.003	0.997	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.003	0.997	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.003	0.997	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.003	0.997	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.003	0.997	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	0.997	0.003
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	0.997	0.003
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.000	0.997	0.003
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.002	0.997	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.002	0.998	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.002	0.998	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.002	0.998	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.002	0.998	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	0.998	0.002
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.998	0.002
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.002	0.998	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.002	0.998	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.002	0.998	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.002	0.998	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.001	0.998	0.001
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.002	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.998	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.000	0.998	0.001
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	0.998	0.002
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.998	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.002	0.998	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.001	0.998	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	0.998	0.001
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.001	0.999	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.001	0.999	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	0.999	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.001	0.999	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	0.999	0.001
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.001	0.999	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.001	0.999	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	0.999	0.001
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	0.999	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.001	0.999	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.001	0.999	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	0.999	0.001
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	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
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.001	0.999	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.001	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.001	0.999	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.001	0.999	0.001
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
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.001	0.999	0.000
rs11643134 lBF = `0.0218302` Chr`16` : `27,242,880`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	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
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	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
rs142313660 lBF = `0` Chr`16` : `81,370,140`	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
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.001	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
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rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs10500355 lBF = `3.26354` Chr`16` : `7,459,347`	0.000	1.000	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs305080 lBF = `-0.0959654` Chr`16` : `85,941,774`	0.000	1.000	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.000	1.000	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	1.000	0.000
rs26868 lBF = `-0.0569542` Chr`16` : `2,249,376`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	1.000	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.000	1.000	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.000	1.000	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.000	1.000	0.000
rs17648524 lBF = `3.62008` Chr`16` : `7,459,683`	0.000	1.000	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	1.000	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.000	1.000	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs12446289 lBF = `0.0231972` Chr`16` : `7,903,609`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.000	1.000	0.000
rs391525 lBF = `-0.103562` Chr`16` : `85,944,439`	0.000	1.000	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	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 X0161

log Bayes Factor = 609.219

contains 20 variants

0.9821

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9715

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9039

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8987

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8972

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8706

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7862

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7684

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7507

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7223

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6244

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5992

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.5849

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4998

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3843

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3825

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3446

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3073

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2960

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2925

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2798

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2643

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2512

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2481

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2420

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2264

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2184

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2155

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2123

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2054

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1936

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1912

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1640

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1438

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1203

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1152

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0903

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0762

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0660

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`)