TreeWAS – [Z93.9] Artificial opening status, unspecified

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
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.657	0.343	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.644	0.356	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.632	0.368	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.613	0.387	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.609	0.391	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.604	0.396	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.598	0.402	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.593	0.407	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.586	0.414	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.575	0.425	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.567	0.433	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.563	0.437	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.560	0.440	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.560	0.440	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.557	0.442	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.553	0.446	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.547	0.452	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.544	0.455	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.538	0.461	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.520	0.480	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.518	0.482	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.505	0.495	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.505	0.495	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.498	0.502	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.495	0.505	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.485	0.515	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.478	0.522	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.476	0.524	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.465	0.535	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.463	0.536	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.427	0.573	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.419	0.581	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.415	0.585	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.402	0.598	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.374	0.626	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.332	0.668	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.332	0.668	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.324	0.676	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.322	0.677	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.321	0.678	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.314	0.685	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.305	0.694	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.299	0.699	0.001
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.298	0.702	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.702	0.298
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.290	0.710	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.287	0.713	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.271	0.729	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.253	0.747	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.247	0.753	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.239	0.760	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.230	0.770	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.229	0.770	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.201	0.799	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.198	0.801	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.188	0.811	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.176	0.824	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.176	0.824	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.143	0.857	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.141	0.859	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.138	0.862	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.130	0.870	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.121	0.879	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.105	0.895	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.096	0.904	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.089	0.910	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.089	0.911	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.077	0.923	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.076	0.924	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.069	0.930	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.061	0.938	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.057	0.943	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.046	0.954	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.046	0.954	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.044	0.956	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.036	0.964	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.035	0.965	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.034	0.966	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.033	0.967	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.031	0.969	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.030	0.970	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.029	0.971	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.029	0.971	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.026	0.973	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.023	0.977	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.021	0.979	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.015	0.985	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	0.986	0.013
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.012	0.987	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.988	0.011
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.010	0.990	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.009	0.991	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	0.991	0.009
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.009	0.991	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.009	0.991	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.007	0.993	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.007	0.993	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.994	0.006
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.005	0.994	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.995	0.005
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.005	0.995	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.005	0.995	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.995	0.005
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.003	0.996	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.996	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	0.997	0.003
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.003	0.997	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.003	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	0.997	0.003
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.003	0.997	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.997	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.003	0.997	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.002	0.997	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.003	0.997	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.002	0.998	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.002	0.998	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	0.998	0.002
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.998	0.002
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.002	0.998	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.998	0.002
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.002	0.998	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	0.998	0.002
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.998	0.002
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.998	0.002
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.002	0.998	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.002	0.998	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.002	0.998	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.002	0.998	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	0.999	0.001
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.001	0.999	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.001	0.999	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.000	0.999	0.001
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.001
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
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.001	0.999	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs11150589 lBF = `0.0240347` Chr`16` : `30,482,494`	0.000	0.999	0.001
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.001	0.999	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.000	0.999	0.001
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.001	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.001	0.999	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.001	0.999	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.001	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	0.999	0.001
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
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
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	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
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
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
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rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	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
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs11642421 lBF = `-0.0718059` Chr`16` : `23,749,777`	0.000	1.000	0.000
rs7203193 lBF = `-0.099666` Chr`16` : `11,641,180`	0.000	1.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	1.000	0.000
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.000	1.000	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	0.000	1.000	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	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

0.6912

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2981

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9055

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8688

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8383

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8264

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8085

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7877

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7855

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7655

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7525

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7168

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7168

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7167

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7167

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7167

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7167

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7166

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7166

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7166

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7165

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7165

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7165

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7164

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7162

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7157

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7157

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7155

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7141

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7133

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7125

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7117

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7106

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7083

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7079

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7072

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7069

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7045

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7043

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7026

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7021

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6968

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6946

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6873

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6761

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6739

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6676

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6656

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6655

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6650

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6646

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6581

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6569

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6524

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6513

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6462

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6384

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6338

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6219

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6021

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5726

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5660

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5655

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5604

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5501

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5483

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5474

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5423

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5349

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5297

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5226

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5201

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5164

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4963

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4851

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4696

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4475

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4284

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4236

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4157

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3967

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3895

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3473

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3241

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3031

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2881

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2667

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2551

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2513

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2498

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2431

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2292

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2099

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1340

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1334

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1114

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1091

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1005

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0980

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0976

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0953

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0903

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0826

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0815

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0771

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0640

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0572

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0571

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0567

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`)