TreeWAS – [M17] Gonarthrosis [arthrosis of knee]

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
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.993	0.007	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.779	0.221	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.692	0.308	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.687	0.313	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.548	0.452	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.529	0.471	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.459	0.541	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.404	0.596	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.351	0.649	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.338	0.662	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.321	0.679	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.311	0.689	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.306	0.694	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.303	0.697	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.293	0.707	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.291	0.709	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.285	0.715	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.285	0.715	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.271	0.729	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.268	0.732	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.267	0.733	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.266	0.734	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.257	0.743	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.244	0.756	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.242	0.758	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.219	0.781	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.196	0.804	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.183	0.817	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.179	0.821	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.178	0.822	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.169	0.831	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.166	0.833	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.162	0.838	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.138	0.862	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.132	0.868	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.128	0.872	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.121	0.879	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.121	0.879	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.118	0.882	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.112	0.888	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.107	0.893	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.107	0.893	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.105	0.895	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.102	0.896	0.002
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.095	0.905	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.094	0.906	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.090	0.910	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.090	0.910	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.086	0.914	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.080	0.920	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.071	0.929	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.069	0.931	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.069	0.931	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.067	0.933	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.064	0.936	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.057	0.943	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.054	0.946	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.050	0.950	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.046	0.954	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.043	0.956	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.041	0.959	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.040	0.960	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.040	0.960	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.039	0.961	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.037	0.962	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.037	0.963	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.037	0.963	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.036	0.964	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.031	0.968	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.031	0.969	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.031	0.969	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.029	0.971	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.029	0.971	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.028	0.972	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.028	0.972	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.025	0.975	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.021	0.979	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.020	0.980	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.020	0.980	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.019	0.981	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.983	0.017
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.017	0.983	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.014	0.986	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.013	0.987	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.010	0.990	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.009	0.991	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.008	0.992	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.007	0.993	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.993	0.007
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.006	0.994	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.006	0.994	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.995	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.004	0.996	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.997	0.003
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.997	0.003
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.998	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.998	0.002
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.998	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.998	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	0.999	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
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rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

This table lists the top 491 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 X0339

log Bayes Factor = 56.078

contains 2 variants

1.0000

Cluster X0331

log Bayes Factor = 5.0262

contains 1 variants

0.9998

Cluster X0175

log Bayes Factor = 45.9153

contains 4 variants

0.7086

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

1.0000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9995

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9994

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.9991

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9985

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9833

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.9435

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9387

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9091

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.8841

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8748

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8666

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8541

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8255

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7977

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7876

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7742

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6942

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6616

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6548

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6485

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6401

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6254

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5997

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5767

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5468

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5459

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5409

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5240

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5205

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5111

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4910

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4757

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4419

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4414

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4061

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3781

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3773

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3684

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3601

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3490

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3442

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2991

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2906

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2785

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2739

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2682

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2664

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2587

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2521

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2507

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2503

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2361

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2349

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2318

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2309

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2292

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2198

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2104

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2102

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2099

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2074

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2064

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1938

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1919

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1898

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1893

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1863

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1839

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1829

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1819

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1681

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1649

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1631

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1601

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1583

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1569

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1567

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1557

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1517

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1488

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1477

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1450

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1447

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1443

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1443

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1382

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1293

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1276

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1222

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1201

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1160

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1137

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1117

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1060

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1054

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1002

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0926

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0921

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0904

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0902

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0888

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0783

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0780

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0772

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0750

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0749

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0743

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0742

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0726

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0693

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0662

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0652

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0640

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0607

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0598

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0577

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0549

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0546

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0546

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0544

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0543

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0527

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0527

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0525

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0504

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0501

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	M15-M19 Arthrosis
Nested terms	M17.0 Primary gonarthrosis, bilateral M17.1 Other primary gonarthrosis M17.2 Posttraumatic gonarthrosis, bilateral M17.3 Other posttraumatic gonarthrosis M17.4 Other secondary gonarthrosis, bilateral M17.5 Other secondary gonarthrosis M17.9 Gonarthrosis, 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`)