TreeWAS – [Z47] Other orthopaedic follow-up care

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
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.924	0.076	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.871	0.129	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.857	0.143	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.845	0.155	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.822	0.178	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.806	0.194	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.802	0.198	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.795	0.205	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.792	0.208	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.784	0.216	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.781	0.218	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.779	0.221	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.771	0.229	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.737	0.262	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.268	0.732
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.731	0.269	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.723	0.277	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.693	0.307	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.688	0.312	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.684	0.316	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.684	0.316	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.666	0.334	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.665	0.335	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.657	0.343	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.648	0.352	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.640	0.360	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.635	0.365	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.634	0.366	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.621	0.379	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.614	0.386	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.605	0.395	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.600	0.400	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.578	0.422	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.540	0.459	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.534	0.466	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.530	0.469	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.499	0.501	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.482	0.517	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.476	0.524	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.465	0.535	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.461	0.539	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.460	0.540	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.441	0.559	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.440	0.560	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.434	0.566	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.426	0.574	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.426	0.574	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.423	0.577	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.399	0.600	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.395	0.604	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.393	0.607	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.385	0.615	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.364	0.636	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.362	0.638	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.349	0.650	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.340	0.660	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.334	0.666	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.326	0.674	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.321	0.678	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.320	0.680	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.305	0.695	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.299	0.701	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.295	0.705	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.281	0.719	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.271	0.729	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.269	0.730	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.266	0.734	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.259	0.741	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.246	0.754	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.237	0.763	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.209	0.791	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.176	0.823	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.167	0.832	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.149	0.851	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.145	0.855	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.142	0.858	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.135	0.865	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.131	0.869	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.123	0.877	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.107	0.892	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.095	0.905	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.093	0.907	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.091	0.909	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.086	0.914	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.083	0.917	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.081	0.919	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.080	0.920	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.079	0.921	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.076	0.924	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.072	0.928	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.068	0.932	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.064	0.936	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.063	0.937	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.057	0.943	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.048	0.952	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.046	0.954	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.042	0.957	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.038	0.962	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.036	0.964	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.035	0.965	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.028	0.972	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.028	0.972	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.027	0.973	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.025	0.975	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.022	0.978	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.022	0.978	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.021	0.979	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.020	0.980	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.018	0.982	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.018	0.982	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.017	0.983	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.017	0.983	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.015	0.985	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.013	0.987	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.013	0.987	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.012	0.987	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.012	0.988	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.012	0.988	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.011	0.989	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.011	0.989	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.011	0.989	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.010	0.989	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.010	0.990	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.010	0.990	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.009	0.991	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.009	0.991	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.008	0.992	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.007	0.993	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.007	0.993	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.006	0.994	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.006	0.994	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.006	0.994	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.006	0.994	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.005	0.994	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.005	0.995	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.005	0.995	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.005	0.995	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.995	0.005
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.004	0.996	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.004	0.996	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.004	0.996	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.003	0.996	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.003	0.997	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.003	0.997	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.003	0.997	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.003	0.997	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.003	0.997	0.000
rs129963 lBF = `-0.0869484` Chr`16` : `3,796,147`	0.000	0.997	0.003
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.003	0.997	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	0.997	0.003
rs247617 lBF = `-0.0487085` Chr`16` : `56,990,716`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.002	0.998	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.002	0.998	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.002	0.998	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	0.998	0.002
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.002	0.998	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.002	0.998	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.002	0.998	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.002	0.998	0.000
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
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.002	0.998	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.001	0.999	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.000	0.999	0.001
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	0.999	0.001
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.001	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
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rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	1.000	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	1.000	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.000	1.000	0.000
rs11859517 lBF = `-0.0592355` Chr`16` : `53,181,247`	0.000	1.000	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs711752 lBF = `0.246679` Chr`16` : `56,996,211`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs12917712 lBF = `-0.0484169` Chr`16` : `29,882,490`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs12932018 lBF = `-0.0504867` Chr`16` : `84,796,603`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	1.000	0.000
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	1.000	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	1.000	0.000
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.000	1.000	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	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

0.7324

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3880

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.1276

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9990

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9910

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9743

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9190

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8970

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8881

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8780

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8693

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8688

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8603

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8599

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8326

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8115

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8012

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7998

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7887

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7887

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7851

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7684

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7673

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7653

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7637

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7435

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7263

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7151

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7104

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7060

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7042

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7035

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6708

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6703

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6656

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6494

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6250

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6241

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6175

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6161

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6063

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5984

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5970

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5967

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5962

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5924

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5853

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5703

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5698

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5670

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5291

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5233

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5181

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5141

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5107

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5100

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5080

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5034

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4951

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4905

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4880

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4738

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4687

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4683

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4678

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4633

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4486

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4432

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4293

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4245

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4234

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4136

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4007

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3993

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3911

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3901

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3740

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3573

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3536

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3531

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3439

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3428

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3427

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3412

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3378

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3287

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3213

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3206

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3180

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3127

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3118

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3057

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3024

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2960

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2955

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2929

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2887

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2867

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2857

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2798

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2728

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2725

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2690

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2634

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2581

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2553

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2537

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2531

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2530

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2484

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2463

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2454

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2419

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2359

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2316

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2178

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2164

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2134

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2115

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2094

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2045

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2042

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1998

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1980

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1954

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1939

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1923

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1866

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1841

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1822

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1821

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1804

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1790

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1772

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1771

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1771

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1755

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1750

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1712

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1711

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1707

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1603

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1536

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1496

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1334

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1313

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1274

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1159

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1114

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1051

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0996

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0904

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0879

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0697

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0643

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0625

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0556

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0527

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0520

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0515

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	Z40-Z54 Persons encountering health services for specific procedures and health care
Nested terms	Z47.0 Follow-up care involving removal of fracture plate and other internal fixation device Z47.8 Other specified orthopaedic follow-up care Z47.9 Orthopaedic follow-up care, 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`)