TreeWAS – [B96] Other bacterial agents as the cause of diseases classified to other chapters

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
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	1.000	0.000	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.999	0.001	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.974	0.026	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.970	0.030	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.966	0.034	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.965	0.035	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.959	0.041	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.946	0.054	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.942	0.058	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.938	0.062	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.937	0.063	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.936	0.064	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.923	0.077	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.921	0.079	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.902	0.098	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.867	0.133	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.860	0.140	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.849	0.151	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.848	0.152	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.842	0.158	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.820	0.180	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.810	0.190	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.806	0.194	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.799	0.201	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.791	0.209	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.765	0.235	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.762	0.238	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.745	0.255	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.708	0.292	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.675	0.325	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.666	0.334	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.665	0.335	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.649	0.351	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.639	0.361	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.639	0.361	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.637	0.363	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.599	0.401	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.596	0.404	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.559	0.441	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.550	0.450	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.539	0.461	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.539	0.461	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.513	0.487	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.503	0.497	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.490	0.510	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.485	0.514	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.464	0.535	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.464	0.536	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.458	0.542	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.455	0.545	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.454	0.546	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.450	0.549	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.447	0.553	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.446	0.554	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.443	0.557	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.440	0.560	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.414	0.586	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.407	0.593	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.398	0.601	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.398	0.602	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.398	0.602	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.393	0.607	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.392	0.608	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.391	0.609	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.367	0.633	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.358	0.642	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.356	0.644	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.353	0.647	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.349	0.651	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.348	0.652	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.657	0.343
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.327	0.673	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.319	0.681	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.315	0.685	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.311	0.689	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.299	0.701	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.297	0.703	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.286	0.714	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.282	0.718	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.281	0.719	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.273	0.727	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.266	0.734	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.262	0.738	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.260	0.740	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.259	0.741	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.258	0.742	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.248	0.752	0.001
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.247	0.753	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.230	0.770	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.229	0.771	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.229	0.771	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.229	0.771	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.226	0.774	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.222	0.778	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.218	0.782	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.213	0.786	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.209	0.791	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.204	0.796	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.200	0.799	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.199	0.801	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.193	0.807	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.192	0.808	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.191	0.809	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.189	0.811	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.181	0.819	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.180	0.820	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.171	0.829	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.169	0.831	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.156	0.844	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.156	0.844	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.155	0.845	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.154	0.846	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.148	0.852	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.147	0.853	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.146	0.854	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.145	0.855	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.137	0.861	0.002
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.139	0.861	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.138	0.862	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.134	0.866	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.131	0.868	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.127	0.873	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.125	0.875	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.124	0.876	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.112	0.888	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.099	0.901	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.098	0.902	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.093	0.907	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.093	0.907	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.090	0.910	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.090	0.910	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.085	0.915	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.085	0.915	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.078	0.922	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.071	0.929	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.069	0.930	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.066	0.934	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.063	0.936	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.055	0.945	0.001
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.051	0.948	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.048	0.952	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.046	0.954	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.043	0.957	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.041	0.959	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.961	0.039
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.038	0.962	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.033	0.967	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.032	0.968	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.031	0.969	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.031	0.969	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.029	0.971	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.026	0.972	0.002
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.026	0.974	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.026	0.974	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.026	0.974	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.025	0.975	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.024	0.976	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.023	0.977	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.022	0.978	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.021	0.979	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.020	0.980	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.018	0.982	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.017	0.983	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.016	0.984	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.015	0.985	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.014	0.986	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.011	0.989	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.011	0.989	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.010	0.990	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.009	0.991	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.009	0.991	0.000
rs2962462 lBF = `-0.0698373` Chr`16` : `62,798,852`	0.000	0.992	0.008
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.008	0.992	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.992	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.007	0.993	0.001
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.006	0.994	0.000
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.994	0.006
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.006	0.994	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.005	0.994	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.005	0.995	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.995	0.005
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.005	0.995	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.004	0.996	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.997	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.997	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.003	0.997	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	0.998	0.002
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.999	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	0.999	0.001
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rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	1.000	0.000
rs391525 lBF = `-0.103562` Chr`16` : `85,944,439`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	1.000	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	1.000	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	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
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs3096299 lBF = `5.36096` Chr`16` : `89,448,663`	0.000	1.000	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	1.000	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	1.000	0.000
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	1.000	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	1.000	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	1.000	0.000
rs12446319 lBF = `-0.126731` Chr`16` : `81,774,798`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	1.000	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	1.000	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	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

0.3960

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3426

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1570

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

1.0000

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

1.0000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9999

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9999

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9998

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9996

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9995

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9995

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9995

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9992

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9991

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9988

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9987

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9986

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9981

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9961

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9961

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9957

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9946

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9945

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9938

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9935

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9925

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9924

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9922

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9915

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9888

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9887

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9886

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9877

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9873

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9870

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9847

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9840

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9828

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9809

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9792

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9766

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9712

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9661

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9578

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9534

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9504

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9448

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9355

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9336

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9147

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9136

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9128

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9002

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8909

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8790

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8672

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8604

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8302

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8156

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7936

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7890

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7825

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7822

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7769

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7588

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7350

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7320

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7251

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7243

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7106

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6505

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6264

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6222

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5312

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5304

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5272

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4913

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4906

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4686

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3413

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3394

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3321

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3303

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3298

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3162

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3074

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3032

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2996

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2300

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2195

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2167

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2116

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2002

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1970

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1906

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1705

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1556

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1444

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1412

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1396

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1388

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1293

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1284

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1248

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1234

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1216

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1212

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1092

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1075

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1051

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0999

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0883

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0835

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0803

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0737

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0628

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0621

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0596

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0576

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0571

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0508

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`)