TreeWAS – [T84.8] Other complications of internal orthopaedic prosthetic devices, implants and grafts

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
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.975	0.025	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.928	0.072	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.880	0.120	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.844	0.156	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.830	0.170	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.811	0.189	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.809	0.191	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.803	0.197	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.786	0.214	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.760	0.240	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.745	0.255	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.731	0.269	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.705	0.295	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.647	0.353	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.641	0.359	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.639	0.361	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.627	0.373	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.617	0.383	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.611	0.389	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.609	0.391	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.578	0.422	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.571	0.429	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.544	0.456	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.541	0.459	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.517	0.483	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.516	0.484	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.511	0.489	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.506	0.494	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.492	0.508	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.489	0.511	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.467	0.532	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.458	0.542	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.456	0.544	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.455	0.545	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.455	0.545	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.449	0.551	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.440	0.560	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.434	0.566	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.422	0.578	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.419	0.581	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.419	0.581	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.413	0.587	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.408	0.592	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.405	0.595	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.393	0.606	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.393	0.607	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.384	0.616	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.384	0.616	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.381	0.618	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.369	0.631	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.368	0.632	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.365	0.635	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.357	0.643	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.355	0.645	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.349	0.651	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.332	0.668	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.311	0.689	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.311	0.689	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.310	0.690	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.306	0.694	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.305	0.695	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.298	0.702	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.293	0.707	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.287	0.713	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.282	0.718	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.278	0.722	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.277	0.723	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.273	0.727	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.272	0.728	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.266	0.734	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.264	0.736	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.263	0.736	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.261	0.739	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.256	0.744	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.248	0.752	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.752	0.247
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.245	0.755	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.242	0.758	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.232	0.768	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.230	0.770	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.217	0.783	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.215	0.785	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.212	0.788	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.210	0.790	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.209	0.791	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.203	0.797	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.201	0.799	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.200	0.800	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.196	0.804	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.190	0.810	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.186	0.814	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.185	0.814	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.184	0.816	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.180	0.819	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.175	0.825	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.171	0.829	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.164	0.836	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.164	0.836	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.161	0.839	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.152	0.847	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.151	0.849	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.150	0.850	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.147	0.853	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.137	0.863	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.135	0.864	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.135	0.865	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.134	0.866	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.132	0.868	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.131	0.869	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.130	0.870	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.123	0.877	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.122	0.878	0.001
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.122	0.878	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.121	0.879	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.119	0.880	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.117	0.883	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.116	0.884	0.001
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.116	0.884	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.114	0.886	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.112	0.887	0.001
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.111	0.888	0.001
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.100	0.900	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.098	0.902	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.096	0.904	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.094	0.906	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.093	0.907	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.092	0.908	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.083	0.916	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.078	0.921	0.001
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.077	0.923	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.075	0.925	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.073	0.927	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.073	0.927	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.069	0.931	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.068	0.932	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.064	0.936	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.062	0.937	0.001
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.063	0.937	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.058	0.941	0.002
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.058	0.942	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.057	0.943	0.001
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.057	0.943	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.052	0.948	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.052	0.948	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.052	0.948	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.051	0.949	0.001
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.050	0.950	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.046	0.954	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.039	0.961	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.039	0.961	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.034	0.966	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.034	0.966	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.032	0.968	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.030	0.970	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.029	0.971	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.028	0.972	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.027	0.973	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.024	0.976	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.020	0.979	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.019	0.981	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.019	0.981	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.018	0.982	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.016	0.984	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.013	0.987	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.012	0.988	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.012	0.988	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.010	0.990	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.010	0.990	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.009	0.990	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.009	0.991	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.008	0.992	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.007	0.993	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.007	0.993	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.006	0.994	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.006	0.994	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.994	0.006
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.994	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.995	0.005
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.005	0.995	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.004	0.996	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	0.996	0.004
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.004	0.996	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.004	0.996	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.004	0.996	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.003	0.996	0.001
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.004	0.996	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.003	0.997	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.997	0.003
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.003	0.997	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	0.997	0.003
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.002	0.998	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.002	0.998	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.002	0.998	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.998	0.002
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.002	0.998	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.000	0.998	0.002
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.002	0.998	0.000
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rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	1.000	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	1.000	0.000
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	1.000	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	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
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	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
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	1.000	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	1.000	0.000
rs12446289 lBF = `0.0231972` Chr`16` : `7,903,609`	0.000	1.000	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	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

0.9869

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2475

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9987

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9966

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9953

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9952

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9619

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9606

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9599

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9504

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9463

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9357

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9328

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9289

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9190

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8780

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8733

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8689

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8473

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7984

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7853

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7297

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6703

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6436

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6236

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5793

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5610

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5501

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5036

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4991

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4941

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4941

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4802

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4634

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4520

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4364

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3432

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3352

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3042

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2786

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2683

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2299

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2149

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2035

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1863

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1843

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1799

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1723

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1676

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1636

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1582

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1397

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1385

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1339

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1196

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1061

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0975

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0902

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0886

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0801

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0682

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0638

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0512

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`)