TreeWAS – [Z93.4] Other artificial openings of gastro-intestinal tract status

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`	0.755	0.245	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.706	0.294	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.676	0.324	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.632	0.368	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.614	0.386	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
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.591	0.409	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
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.564	0.436	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.564	0.436	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
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
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.546	0.454	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
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.536	0.464	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.527	0.473	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.520	0.480	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
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.480	0.520	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.462	0.538	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.460	0.539	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.430	0.570	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
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.417	0.583	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.382	0.618	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.374	0.626	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.330	0.670	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
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.311	0.689	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
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
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.720	0.279
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.275	0.725	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.271	0.729	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.261	0.739	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
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.229	0.770	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.198	0.801	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.194	0.805	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.194	0.806	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
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.164	0.836	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.137	0.863	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`	0.118	0.881	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.108	0.891	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.107	0.893	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.100	0.900	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`	0.075	0.925	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
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.054	0.945	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.046	0.954	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.045	0.955	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.044	0.956	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.041	0.958	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
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.030	0.970	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.030	0.970	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.030	0.970	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
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	0.985	0.015
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.014	0.985	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.009	0.991	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	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`	0.008	0.992	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.008	0.992	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.008	0.992	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.993	0.007
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.007	0.993	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.006	0.993	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.994	0.006
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.994	0.006
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.006	0.994	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.001	0.994	0.004
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.005	0.995	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.005	0.995	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	0.996	0.004
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
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	0.996	0.004
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.996	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.003	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.003	0.997	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.003	0.997	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.003	0.997	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	0.997	0.003
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.997	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.003	0.997	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.003	0.997	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	0.997	0.003
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.002	0.998	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	0.998	0.002
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.002	0.998	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	0.998	0.002
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	0.998	0.002
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
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	0.998	0.002
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.998	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.002	0.998	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.998	0.002
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.002	0.998	0.000
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
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	0.999	0.001
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	0.999	0.001
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	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
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.999	0.001
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.001
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.001	0.999	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	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
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	0.999	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.001	0.999	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.001	0.999	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	0.999	0.001
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.999	0.001
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.001
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	0.999	0.001
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
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	0.999	0.001
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.001
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.999	0.001
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.001	0.999	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs4783227 lBF = `-0.0785829` Chr`16` : `82,594,383`	0.000	0.999	0.001
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	0.999	0.001
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	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
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
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	0.999	0.001
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.001	0.999	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.001	0.999	0.000
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.000	0.999	0.001
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
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rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.000	1.000	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.000	1.000	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	1.000	0.000
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	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
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.000	1.000	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	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
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	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
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	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
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	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
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	1.000	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	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
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	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

0.2794

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9947

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9914

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9883

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9882

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9870

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9850

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9813

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9771

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9765

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9761

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9761

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9713

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9618

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9617

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9596

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9574

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9553

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9543

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9501

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9462

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9458

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9456

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9451

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9437

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9271

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9270

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9253

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9221

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9176

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9072

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9060

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8973

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8971

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8965

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8941

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8937

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8859

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8787

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8775

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8774

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8773

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8722

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8698

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8645

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8630

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8610

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8527

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8512

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8476

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8472

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8445

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8413

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8326

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8270

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8270

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8248

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8237

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8214

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8187

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8177

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8122

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8064

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8046

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8001

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7875

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7871

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7856

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7737

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7675

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7641

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7526

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7505

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7450

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7073

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7063

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6948

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6763

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6752

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6732

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6637

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6519

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6501

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6258

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6137

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6098

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6086

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5945

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5922

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5790

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5754

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5604

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5601

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5416

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5325

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5264

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5202

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5068

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4919

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4655

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4284

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3987

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3210

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3087

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3032

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2979

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2925

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2819

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2726

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2641

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2546

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1917

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1820

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1537

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1455

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1423

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1250

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1162

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1081

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1070

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1045

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0993

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0978

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0974

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0705

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0633

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0629

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0540

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`)