TreeWAS – [S82.81] Fractures of other parts of lower leg (open)

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
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.545	0.455	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.543	0.457	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.509	0.491	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.476	0.523	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.432	0.568	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.425	0.575	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.407	0.593	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.397	0.602	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.381	0.619	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.372	0.628	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.362	0.638	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.358	0.642	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.348	0.652	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.346	0.653	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.346	0.654	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.337	0.663	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.336	0.664	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.330	0.669	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.326	0.673	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.323	0.677	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.320	0.680	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.312	0.687	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.311	0.688	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.307	0.693	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.303	0.697	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.301	0.699	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.299	0.701	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.293	0.706	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.286	0.714	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.275	0.725	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.269	0.730	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.262	0.738	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.260	0.740	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.260	0.740	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.259	0.741	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.243	0.757	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.232	0.768	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.231	0.768	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.224	0.776	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.223	0.776	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.220	0.780	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.219	0.781	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.219	0.781	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.213	0.787	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.209	0.791	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.208	0.792	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.205	0.794	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.204	0.796	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.199	0.801	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.193	0.807	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.190	0.809	0.001
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.187	0.813	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.185	0.815	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.176	0.824	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.175	0.825	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.166	0.834	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.163	0.837	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.156	0.843	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.155	0.845	0.001
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.153	0.847	0.001
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.149	0.851	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.147	0.853	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.141	0.858	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.141	0.859	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.134	0.866	0.001
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.121	0.878	0.001
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.118	0.882	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.103	0.897	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.093	0.907	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.085	0.915	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.083	0.916	0.001
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.076	0.923	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.075	0.925	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.074	0.925	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.070	0.929	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.069	0.931	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.052	0.947	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.050	0.949	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.045	0.955	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.043	0.957	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.039	0.958	0.004
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.038	0.961	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.036	0.963	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.035	0.965	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.032	0.967	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.032	0.967	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.030	0.970	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.026	0.974	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.023	0.976	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.024	0.976	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.020	0.979	0.001
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.016	0.983	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.017	0.983	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.014	0.985	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.014	0.986	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.011	0.989	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.010	0.989	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.010	0.990	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.010	0.990	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.007	0.993	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.993	0.007
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.005	0.994	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.995	0.005
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.005	0.995	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.004	0.995	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.996	0.004
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.003	0.996	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.004	0.996	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.996	0.004
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.003	0.996	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.996	0.003
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.997	0.003
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.997	0.003
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.002	0.997	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.002	0.998	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.002	0.998	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.998	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.998	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.002	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.998	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.998	0.001
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.001	0.999	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	0.999	0.001
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.001	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.001	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.001	0.999	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.001	0.999	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.999	0.001
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.001
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.001	0.999	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.001	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	0.999	0.001
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.001	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	0.999	0.001
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	0.999	0.001
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.001
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	0.999	0.001
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.001	0.999	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.999	0.001
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.999	0.001
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.001	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.999	0.000
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rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	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
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	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
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
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
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	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

0.5264

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8858

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8841

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8312

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8274

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8263

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.7715

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7580

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7493

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7260

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7119

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6837

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6771

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6310

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6230

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5893

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5667

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5634

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5588

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5574

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5572

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5434

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5405

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5134

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5014

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4878

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4708

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4561

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4224

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4083

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4055

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4015

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4015

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3997

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3968

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3921

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3862

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3796

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3780

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3699

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3604

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3592

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3436

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3384

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3378

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3282

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3212

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3188

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3183

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3163

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3154

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3057

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2999

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2991

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2982

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2974

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2967

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2953

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2944

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2931

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2910

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2846

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2796

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2792

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2771

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2748

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2743

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2740

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2722

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2682

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2678

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2642

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2636

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2587

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2558

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2423

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2414

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2400

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2397

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2367

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2337

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2324

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2310

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2267

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2242

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2228

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2214

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2206

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2023

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1995

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1962

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1946

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1857

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1840

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1835

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1801

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1717

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1712

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1616

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1563

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1514

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1489

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1434

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1407

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1354

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1348

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1323

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1318

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1222

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1218

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1216

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1211

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1205

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1178

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1155

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1148

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1134

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1128

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1116

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1098

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1077

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1050

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1046

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1045

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1039

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0983

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0959

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0947

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0940

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0907

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0888

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0870

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0862

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0852

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0837

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0826

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0815

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0806

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0802

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0799

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0759

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0734

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0681

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0679

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0672

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0663

Cluster X0009

log Bayes Factor = 99.4597

contains 5 variants

0.0653

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0651

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0640

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0639

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0633

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0565

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0565

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0560

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0559

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0556

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0549

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0544

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0535

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0522

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`)