TreeWAS – [S82.00] Fracture of patella (closed)

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
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.607	0.393	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.546	0.454	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.518	0.482	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.478	0.522	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.429	0.571	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.419	0.581	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.399	0.601	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.399	0.601	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.395	0.605	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.384	0.616	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.375	0.625	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.360	0.640	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.358	0.642	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.349	0.651	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.342	0.658	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.330	0.670	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.328	0.672	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.328	0.672	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.326	0.674	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.325	0.675	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.313	0.687	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.312	0.688	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.312	0.688	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.302	0.698	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.302	0.698	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.295	0.705	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.283	0.716	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.283	0.717	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.280	0.720	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.275	0.725	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.274	0.725	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.272	0.728	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.271	0.729	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.270	0.730	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.259	0.741	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.257	0.743	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.255	0.745	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.253	0.747	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.252	0.748	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.251	0.749	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.245	0.754	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.230	0.769	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.222	0.778	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.217	0.783	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.214	0.786	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.212	0.788	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.208	0.792	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.205	0.794	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.203	0.797	0.001
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.193	0.807	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.190	0.810	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.187	0.813	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.183	0.816	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.179	0.821	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.175	0.824	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.168	0.832	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.163	0.837	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.159	0.841	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.158	0.841	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.154	0.846	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.153	0.847	0.001
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.148	0.852	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.147	0.852	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.146	0.853	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.145	0.855	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.143	0.857	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.127	0.873	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.120	0.879	0.001
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.111	0.889	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.103	0.896	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.102	0.898	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.086	0.913	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.084	0.916	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.083	0.917	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.081	0.918	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.062	0.937	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.062	0.938	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.057	0.941	0.001
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.054	0.945	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.052	0.948	0.001
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.048	0.949	0.002
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.049	0.950	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.048	0.951	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.035	0.965	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.035	0.965	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.034	0.966	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.032	0.968	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.032	0.968	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.030	0.970	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.023	0.976	0.001
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.024	0.976	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.023	0.977	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.023	0.977	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.022	0.977	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.019	0.981	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.017	0.983	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.016	0.983	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.011	0.988	0.001
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.010	0.990	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.008	0.992	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.008	0.992	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.993	0.007
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.007	0.993	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.993	0.007
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.993	0.007
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.993	0.007
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.006	0.994	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.006	0.994	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.005	0.994	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.995	0.005
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.004	0.996	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.004	0.996	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.004	0.996	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.004	0.996	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.003	0.996	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.003	0.997	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.003	0.997	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.003	0.997	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.997	0.003
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.003	0.997	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.997	0.003
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.997	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.998	0.002
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	0.998	0.002
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.002	0.998	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.002	0.998	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	0.998	0.002
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.002	0.998	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.002	0.998	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.998	0.001
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	0.998	0.002
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.002	0.998	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.002	0.998	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	0.998	0.002
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.001
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.001
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	0.999	0.001
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	0.999	0.001
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	0.999	0.001
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.001	0.999	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.001	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.999	0.001
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.001	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.001	0.999	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.001
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	0.999	0.001
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	0.999	0.001
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.001	0.999	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.001
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.999	0.001
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.001	0.999	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.001	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.001	0.999	0.000
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
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
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	0.999	0.001
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.001	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	0.999	0.001
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.001	0.999	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.999	0.001
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.001	0.999	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.999	0.001
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.001
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.001	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.001	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	0.999	0.001
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.001	0.999	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
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rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	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
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5066

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9665

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9662

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9567

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9437

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9289

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9268

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9173

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9061

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8820

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8803

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8680

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8312

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7856

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7827

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7818

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7768

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7690

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7342

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7316

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.7285

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6940

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6895

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6537

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6431

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6333

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6304

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6198

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6035

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6024

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6011

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5873

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5745

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5578

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5517

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5506

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5407

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5387

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5308

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5234

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5119

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5105

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4948

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4859

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4835

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4704

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4614

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4434

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4425

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4151

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4099

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4027

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4016

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3973

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3915

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3913

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3893

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3755

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3686

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3635

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3579

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3466

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3324

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3324

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3081

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2943

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2861

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2838

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2752

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2659

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2655

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2554

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2314

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2306

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2271

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2152

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2105

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2089

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2069

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2027

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1921

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1895

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1854

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1820

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1812

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1811

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1740

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1731

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1699

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1686

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1650

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1640

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1627

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1610

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1598

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1526

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1489

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1464

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1463

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1441

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1370

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1366

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1365

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1310

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1252

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1233

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1103

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1052

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1010

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1010

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1001

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0997

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0967

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0962

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0943

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0912

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0860

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0858

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0837

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0815

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0797

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0789

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0783

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0773

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0697

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0669

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0619

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0516

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`)