TreeWAS – [S61] Open wound of wrist and hand

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
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.999	0.001	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.982	0.018	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.958	0.042	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.926	0.074	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.925	0.075	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.905	0.095	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.865	0.135	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.862	0.138	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.840	0.160	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.817	0.183	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.813	0.187	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.807	0.193	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.799	0.201	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.784	0.216	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.775	0.225	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.771	0.229	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.728	0.272	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.728	0.272	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.710	0.290	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.708	0.292	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.704	0.296	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.687	0.313	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.672	0.328	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.658	0.342	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.641	0.359	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.639	0.361	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.634	0.366	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.631	0.369	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.624	0.376	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.622	0.378	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.618	0.382	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.605	0.395	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.592	0.408	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.591	0.409	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.587	0.413	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.583	0.417	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.577	0.423	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.565	0.435	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.546	0.454	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.536	0.464	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.526	0.473	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.516	0.484	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.514	0.486	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.505	0.495	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.504	0.496	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.496	0.504	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.485	0.515	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.483	0.517	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.481	0.519	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.471	0.529	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.465	0.535	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.464	0.535	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.460	0.540	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.459	0.541	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.455	0.545	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.450	0.549	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.450	0.550	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.450	0.550	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.445	0.555	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.441	0.558	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.438	0.562	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.432	0.568	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.428	0.572	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.426	0.574	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.423	0.577	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.421	0.579	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.418	0.581	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.417	0.583	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.416	0.584	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.415	0.585	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.414	0.586	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.411	0.589	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.411	0.589	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.406	0.594	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.400	0.600	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.397	0.602	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.390	0.610	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.389	0.611	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.388	0.612	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.387	0.613	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.386	0.614	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.384	0.616	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.375	0.624	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.374	0.626	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.372	0.628	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.364	0.636	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.347	0.652	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.343	0.656	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.323	0.677	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.314	0.686	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.312	0.688	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.302	0.698	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.293	0.707	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.266	0.733	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.260	0.740	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.256	0.744	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.253	0.747	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.252	0.748	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.247	0.753	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.247	0.753	0.001
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.240	0.760	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.239	0.761	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.238	0.762	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.770	0.230
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.229	0.771	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.229	0.771	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.223	0.777	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.222	0.778	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.222	0.778	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.220	0.780	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.218	0.782	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.214	0.786	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.212	0.788	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.211	0.789	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.209	0.790	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.205	0.795	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.202	0.798	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.200	0.800	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.196	0.803	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.195	0.805	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.195	0.805	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.195	0.805	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.190	0.810	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.187	0.813	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.180	0.819	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.178	0.822	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.173	0.826	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.169	0.831	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.163	0.836	0.001
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.162	0.838	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.159	0.840	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.155	0.845	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.152	0.848	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.152	0.848	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.146	0.853	0.001
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.145	0.854	0.001
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.140	0.859	0.001
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.138	0.862	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.135	0.865	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.134	0.866	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.124	0.876	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.117	0.882	0.001
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.117	0.883	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.112	0.888	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.110	0.889	0.001
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.099	0.891	0.010
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.092	0.907	0.001
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.090	0.909	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.090	0.910	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.089	0.910	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.087	0.912	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.087	0.913	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.078	0.922	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.073	0.927	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.071	0.928	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.070	0.929	0.001
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.069	0.931	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.068	0.932	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.067	0.933	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.006	0.933	0.060
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.062	0.938	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.062	0.938	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.060	0.940	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.059	0.940	0.001
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.059	0.941	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.057	0.943	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.051	0.949	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.050	0.950	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.046	0.951	0.003
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.048	0.951	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.048	0.952	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.045	0.954	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.044	0.955	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.044	0.956	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.043	0.957	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.040	0.960	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.038	0.962	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.038	0.962	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.036	0.963	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.035	0.965	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.034	0.966	0.001
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.033	0.967	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.032	0.968	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.031	0.969	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.028	0.970	0.002
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.025	0.975	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.012	0.977	0.011
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.021	0.979	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.021	0.979	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.015	0.985	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.015	0.985	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.013	0.987	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.013	0.987	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.013	0.987	0.000
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.012	0.988	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.011	0.989	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.011	0.989	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.010	0.990	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.010	0.990	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.007	0.992	0.001
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
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rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	1.000	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	1.000	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs12931939 lBF = `0.00334916` Chr`16` : `20,060,830`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	1.000	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.000	1.000	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2301

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2005

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9991

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9963

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9946

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9912

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9869

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9852

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9660

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9490

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8676

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8531

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8045

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8038

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7991

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7963

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7896

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7624

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7571

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7300

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7283

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7163

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6914

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6792

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6562

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6260

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6256

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5981

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5955

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5875

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5776

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5511

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5385

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5383

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5368

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5246

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5242

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5192

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4968

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4815

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4711

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4506

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4457

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4346

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4343

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4312

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4258

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4212

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3867

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3850

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3780

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3753

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3720

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3484

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3345

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3299

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3091

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3069

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2986

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2947

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2878

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2796

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2722

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2683

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2647

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2643

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2634

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2526

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2484

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2443

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2400

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2320

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2298

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2246

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2159

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2111

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2091

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1987

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1982

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1966

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1944

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1904

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1862

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1848

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1718

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1698

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1659

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1641

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1597

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1579

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1558

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1537

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1468

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1463

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1446

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1391

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1379

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1352

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1324

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1322

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1269

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1257

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1243

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1210

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1178

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1129

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1085

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1057

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1042

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1027

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1019

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1008

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0998

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0988

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0974

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0974

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0960

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0947

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0934

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0933

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0891

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0857

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0849

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0832

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0805

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0771

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0757

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0708

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0697

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0649

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0637

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0629

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0611

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0590

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0586

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0560

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0553

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0550

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0540

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0539

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0527

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0523

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0522

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0517

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0505

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.

Parent term	S60-S69 Injuries to the wrist and hand
Nested terms	S61.0 Open wound of finger(s) without damage to nail S61.1 Open wound of finger(s) with damage to nail S61.7 Multiple open wounds of wrist and hand S61.8 Open wound of other parts of wrist and hand S61.9 Open wound of wrist and hand, part unspecified

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`)