TreeWAS – [S01.9] Open wound of head, part unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.875	0.125	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.852	0.148	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.841	0.159	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.796	0.204	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.795	0.205	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.741	0.258	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.698	0.302	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.674	0.326	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.670	0.330	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.661	0.339	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.628	0.372	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.607	0.393	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.606	0.394	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.602	0.398	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.592	0.408	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.588	0.412	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.586	0.414	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.574	0.426	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.569	0.431	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.564	0.436	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.559	0.441	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.557	0.443	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.541	0.459	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.536	0.464	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.536	0.464	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.536	0.464	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.532	0.468	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.495	0.505	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.493	0.507	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.492	0.507	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.488	0.512	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.485	0.515	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.471	0.528	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.463	0.537	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.463	0.537	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.458	0.542	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.441	0.558	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.437	0.563	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.563	0.437
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.437	0.563	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.423	0.577	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.423	0.577	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.415	0.584	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.415	0.585	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.413	0.587	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.407	0.592	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.404	0.595	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.404	0.595	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.398	0.601	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.395	0.605	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.393	0.607	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.392	0.608	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.392	0.608	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.388	0.612	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.386	0.613	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.386	0.614	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.384	0.616	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.384	0.616	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.383	0.617	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.379	0.621	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.376	0.624	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.374	0.625	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.374	0.626	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.373	0.627	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.370	0.630	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.363	0.636	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.362	0.638	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.357	0.643	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.357	0.643	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.356	0.644	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.356	0.644	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.355	0.645	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.355	0.645	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.354	0.646	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.351	0.649	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.350	0.650	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.346	0.654	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.342	0.657	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.340	0.660	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.326	0.674	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.679	0.321
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.317	0.683	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.316	0.684	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.315	0.685	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.314	0.686	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.307	0.693	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.296	0.703	0.001
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.293	0.707	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.290	0.709	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.289	0.711	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.284	0.716	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.267	0.733	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.267	0.733	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.263	0.736	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.258	0.741	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.251	0.748	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.250	0.749	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.244	0.756	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.240	0.760	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.239	0.761	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.773	0.226
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.225	0.775	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.219	0.780	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.217	0.783	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.213	0.787	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.211	0.789	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.209	0.791	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.202	0.797	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.201	0.799	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.196	0.804	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.188	0.812	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.186	0.813	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.181	0.819	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.181	0.819	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.177	0.822	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.175	0.825	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.174	0.826	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.172	0.828	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.170	0.830	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.162	0.837	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.160	0.839	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.159	0.840	0.001
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.159	0.841	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.159	0.841	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.154	0.845	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.151	0.849	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.145	0.855	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.143	0.857	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.137	0.863	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.133	0.866	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.133	0.867	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.131	0.868	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.132	0.868	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.130	0.870	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.124	0.875	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.118	0.882	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.117	0.882	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.114	0.885	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.108	0.892	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.106	0.894	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.101	0.899	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.099	0.900	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.098	0.902	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.097	0.903	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.090	0.910	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.083	0.917	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.080	0.919	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.079	0.921	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.079	0.921	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.077	0.922	0.001
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.077	0.922	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.077	0.923	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.076	0.924	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.076	0.924	0.001
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	0.927	0.073
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.072	0.927	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.069	0.931	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.066	0.933	0.001
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.065	0.935	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.064	0.936	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.064	0.936	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.061	0.938	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.055	0.945	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.054	0.946	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.049	0.950	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.048	0.952	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.042	0.958	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.039	0.961	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.038	0.961	0.001
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.035	0.964	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.035	0.965	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.965	0.035
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.034	0.966	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.032	0.968	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.031	0.968	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.031	0.969	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.030	0.970	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	0.970	0.030
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.030	0.970	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.026	0.973	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.026	0.974	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.025	0.975	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.975	0.025
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.022	0.978	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	0.978	0.022
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.021	0.979	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.021	0.979	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.021	0.979	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	0.981	0.019
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.019	0.981	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.016	0.984	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.015	0.985	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.013	0.987	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.011	0.989	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.010	0.990	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.010	0.990	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.009	0.991	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.991	0.009
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.008	0.992	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.008	0.992	0.000
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rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.001	0.999	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.001	0.999	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.001	0.999	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	0.999	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.001	0.999	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	0.999	0.001
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.000	0.999	0.001
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.001	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	0.999	0.001
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	0.999	0.001
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.001	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs7404095 lBF = `-0.0575876` Chr`16` : `23,864,590`	0.000	0.999	0.001
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	0.999	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.001	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	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
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.001	0.999	0.000
rs11508026 lBF = `0.125383` Chr`16` : `56,999,328`	0.001	0.999	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	0.999	0.001
rs6500744 lBF = `0.0031726` Chr`16` : `6,113,661`	0.000	0.999	0.001
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	0.999	0.001
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	0.999	0.001
rs4786816 lBF = `-0.098579` Chr`16` : `6,148,030`	0.001	0.999	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	0.999	0.001
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.999	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.999	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.001	0.999	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	0.999	0.001
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	0.999	0.001
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.000	0.999	0.001
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.001	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.001	0.999	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	0.999	0.001
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	0.999	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	0.999	0.001
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	1.000	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.000	1.000	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	1.000	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	1.000	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	1.000	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	1.000	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	1.000	0.000
rs12926725 lBF = `-0.0235384` Chr`16` : `20,059,677`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.000	1.000	0.000
rs10445033 lBF = `18.8254` Chr`16` : `88,840,462`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs1044873 lBF = `-0.103001` Chr`16` : `85,955,671`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs1902813 lBF = `-0.0220168` Chr`16` : `20,057,661`	0.000	1.000	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.000	1.000	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	1.000	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5957

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2263

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9999

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9935

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9844

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9773

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9720

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9698

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9687

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9686

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9667

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9666

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9657

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9505

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9460

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9443

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9427

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9399

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9366

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9358

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9338

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9200

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9198

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9126

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9008

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8954

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8849

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8826

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8795

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8785

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8763

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8563

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8468

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8359

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8275

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8241

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8237

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8191

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8004

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7961

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7899

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7702

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7461

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7348

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7109

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7078

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7055

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6938

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6913

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6865

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6690

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6585

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6282

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6256

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6223

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6150

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5986

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5930

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5903

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5782

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5710

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5606

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5427

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5064

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5042

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5019

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4817

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4778

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4715

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4611

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4580

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4534

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4521

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4493

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4476

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3933

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3891

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3678

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3599

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3597

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3517

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3492

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3422

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3381

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3320

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3168

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2972

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2909

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2765

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2645

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2598

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2585

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2325

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2278

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2121

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2046

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1989

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1903

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1892

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1799

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1771

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1698

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1631

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1618

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1480

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1449

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1437

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1422

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1422

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1412

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1388

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1354

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1345

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1196

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1153

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1131

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1104

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1092

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1086

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1010

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0965

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0842

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0799

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0760

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0742

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0702

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0696

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0550

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0547

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0530

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0507

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`)