TreeWAS – [K85.8] Other acute pancreatitis

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
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	0.690	0.310	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.621	0.379	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.574	0.426	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.565	0.435	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.561	0.439	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.522	0.478	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.511	0.489	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.509	0.491	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.508	0.492	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.506	0.494	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.493	0.507	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.511	0.489
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.485	0.515	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.461	0.539	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.451	0.548	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.428	0.571	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.418	0.582	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.414	0.586	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.587	0.412
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.397	0.603	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.363	0.637	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.357	0.643	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.340	0.660	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.322	0.678	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.321	0.679	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.306	0.694	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.302	0.697	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.301	0.699	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.264	0.736	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.256	0.744	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.252	0.748	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.241	0.758	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.233	0.766	0.001
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.233	0.767	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.232	0.768	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.226	0.773	0.001
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.222	0.775	0.003
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.206	0.793	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.206	0.794	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.201	0.799	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.199	0.801	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	0.809	0.191
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.163	0.837	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.162	0.837	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.160	0.839	0.001
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.142	0.858	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.138	0.861	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.137	0.863	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.134	0.866	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.132	0.868	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.126	0.874	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.125	0.875	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.119	0.881	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.113	0.887	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.110	0.889	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.109	0.890	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.107	0.893	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.105	0.895	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.104	0.896	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.102	0.897	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.092	0.908	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.084	0.915	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.080	0.920	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	0.924	0.076
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.074	0.925	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.072	0.927	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.072	0.928	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.071	0.928	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.068	0.932	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.067	0.933	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.064	0.936	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	0.937	0.063
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.053	0.946	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.051	0.949	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.051	0.949	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.050	0.950	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.048	0.951	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.047	0.953	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.046	0.953	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.046	0.954	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.046	0.954	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.043	0.957	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.042	0.958	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.038	0.961	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.037	0.963	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.036	0.964	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.035	0.965	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.031	0.969	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.030	0.969	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.030	0.970	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.029	0.971	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.027	0.973	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.025	0.975	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	0.976	0.024
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.023	0.977	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.022	0.977	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.022	0.978	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.022	0.978	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.022	0.978	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.022	0.978	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.020	0.979	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.020	0.980	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.020	0.980	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.020	0.980	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.017	0.982	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.017	0.983	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.015	0.984	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.015	0.985	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.015	0.985	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.014	0.985	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.014	0.986	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.014	0.986	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.986	0.014
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	0.000	0.987	0.013
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	0.988	0.012
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.010	0.990	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	0.990	0.010
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.009	0.990	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.009	0.991	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.009	0.991	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.009	0.991	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.991	0.009
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.008	0.991	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.008	0.992	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.008	0.992	0.001
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.008	0.992	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	0.992	0.008
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.993	0.007
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.007	0.993	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.007	0.993	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	0.993	0.007
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.006	0.993	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.006	0.994	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.994	0.006
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.006	0.994	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.006	0.994	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.000	0.995	0.005
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	0.995	0.005
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.995	0.005
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.005	0.995	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	0.995	0.005
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.000	0.995	0.005
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	0.995	0.005
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.005	0.995	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.004	0.995	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.995	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.004	0.995	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.996	0.004
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.004	0.996	0.000
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.004	0.996	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.004	0.996	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.004	0.996	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.004	0.996	0.000
rs711752 lBF = `0.246679` Chr`16` : `56,996,211`	0.000	0.996	0.004
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.003	0.996	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	0.996	0.003
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	0.997	0.003
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.003	0.997	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.003	0.997	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.000	0.997	0.003
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.997	0.003
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.002	0.997	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.002	0.997	0.000
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
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.003	0.997	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.002	0.997	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.002	0.997	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.002	0.997	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.002	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.002	0.998	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.002	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.998	0.002
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.002	0.998	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.998	0.002
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.002	0.998	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.002	0.998	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	0.998	0.002
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	0.998	0.002
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.002	0.998	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.002	0.998	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.002	0.998	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.002	0.998	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.002	0.998	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.002	0.998	0.000
rs7403856 lBF = `-0.0808688` Chr`16` : `6,156,326`	0.000	0.998	0.002
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.002	0.998	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	0.998	0.002
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.002	0.998	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.002	0.998	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.002	0.998	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.002	0.998	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	0.998	0.002
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.998	0.002
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.002	0.998	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	0.998	0.002
rs1800775 lBF = `0.141918` Chr`16` : `56,995,236`	0.000	0.998	0.002
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rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.001
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.000	0.999	0.001
rs12443954 lBF = `-0.0692959` Chr`16` : `89,741,496`	0.000	0.999	0.001
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	0.999	0.001
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.001	0.999	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	0.999	0.001
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.001	0.999	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.999	0.001
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.001	0.999	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	0.999	0.001
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.001	0.999	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	0.999	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	0.999	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	0.999	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.999	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.001	0.999	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.000	0.999	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.999	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.001	0.999	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.999	0.001
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.001	0.999	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.999	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.001	0.999	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	0.999	0.001
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	0.999	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.000	0.999	0.001
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.000	0.999	0.001
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.001	0.999	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	0.999	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.001	0.999	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.000	0.999	0.001
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.001	0.999	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	0.999	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	0.999	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.000	0.999	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.001	0.999	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	0.999	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	0.999	0.001
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs631208 lBF = `-0.0930504` Chr`16` : `9,399,724`	0.001	0.999	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.999	0.001
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.000	0.999	0.001
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	0.999	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	0.999	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	0.999	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	0.999	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	0.999	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs11859517 lBF = `-0.0592355` Chr`16` : `53,181,247`	0.000	0.999	0.001
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.999	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.000	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs427576 lBF = `-0.0451154` Chr`16` : `73,829,270`	0.000	0.999	0.000
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	0.999	0.001
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	0.999	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.999	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	0.999	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	0.999	0.001
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	0.999	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	0.999	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.999	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	0.999	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.999	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	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)

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.4342

Cluster X0198

log Bayes Factor = 97.078

contains 5 variants

0.4310

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3156

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

0.8963

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8408

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8121

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8036

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7932

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7163

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7162

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7162

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7162

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7157

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7156

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7118

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7113

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7061

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7043

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7042

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7034

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7025

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6993

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6989

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6971

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6891

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6870

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6864

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6862

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6835

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6768

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6750

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6715

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6678

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6644

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6630

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6427

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6407

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6392

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6345

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6295

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6281

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6246

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6210

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6197

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6163

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6142

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6099

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6080

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6058

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6057

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6006

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6005

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5964

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5939

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5906

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5893

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5838

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5805

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5793

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5780

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5668

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5467

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5454

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5420

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5411

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5363

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5330

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5185

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5088

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5085

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5064

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4981

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4940

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4858

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4857

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4742

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4712

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4712

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4666

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4483

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4407

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4336

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4175

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4119

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4109

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3926

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3867

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3861

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3839

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3795

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3667

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3589

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3326

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3111

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2972

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2842

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2819

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2788

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2672

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2650

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2636

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2247

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2082

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2046

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2043

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2040

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2036

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1992

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1920

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1686

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1671

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1649

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1635

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1517

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1463

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1428

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1423

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1405

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1374

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1297

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1202

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1074

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1041

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0919

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0867

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0700

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0700

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0649

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0578

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0575

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0549

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0534

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`)