TreeWAS – [M16.5] Other posttraumatic coxarthrosis

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
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.713	0.287	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.596	0.404	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.594	0.405	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.548	0.451	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.476	0.524	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.447	0.552	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.444	0.556	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.432	0.568	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.429	0.571	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.427	0.573	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.389	0.611	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.337	0.663	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.323	0.677	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.311	0.689	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.311	0.689	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.303	0.696	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.275	0.725	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.255	0.745	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.243	0.757	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.242	0.758	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.240	0.760	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.233	0.767	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.224	0.776	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.224	0.776	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.224	0.776	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.203	0.797	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.176	0.824	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.165	0.835	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.153	0.846	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.153	0.847	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.128	0.871	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.120	0.880	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.118	0.882	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.109	0.891	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.105	0.894	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.103	0.897	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.101	0.899	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.098	0.902	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.095	0.905	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.094	0.905	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.094	0.906	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.093	0.907	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.088	0.912	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.088	0.912	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.085	0.915	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.077	0.922	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.076	0.924	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.070	0.930	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.069	0.931	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.067	0.933	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.061	0.939	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.058	0.942	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.058	0.942	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.057	0.943	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.051	0.949	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.048	0.951	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.047	0.953	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.046	0.954	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.043	0.957	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.039	0.960	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.039	0.961	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.038	0.962	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.037	0.963	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.035	0.965	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.033	0.966	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.032	0.968	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.032	0.968	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.029	0.971	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.023	0.977	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.022	0.977	0.001
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.016	0.984	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.015	0.985	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.014	0.986	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.014	0.986	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.013	0.987	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.012	0.987	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.011	0.989	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.010	0.990	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.010	0.990	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.008	0.992	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.008	0.992	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.007	0.993	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.007	0.993	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.006	0.994	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.005	0.994	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.005	0.994	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.995	0.005
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.005	0.995	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.004	0.996	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	0.996	0.004
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.996	0.004
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.002	0.997	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.998	0.002
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.998	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.002	0.998	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.998	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.001
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.001	0.999	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.001	0.999	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.001	0.999	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.001	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.001	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.001
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.001	0.999	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.001	0.999	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	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
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
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rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	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
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	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
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
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	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
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	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
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	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
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	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
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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

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 X0099

log Bayes Factor = 16.3687

contains 3 variants

0.8507

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8510

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8403

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8393

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8286

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8219

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8003

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7859

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7805

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7522

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7422

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7390

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7255

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7050

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6925

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6865

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6547

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6370

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6270

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6198

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6033

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5924

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5904

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5882

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5745

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5265

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5165

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5003

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4850

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.4552

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4505

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4367

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4184

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4137

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4110

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3917

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3889

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3808

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3777

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3593

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3547

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3537

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3507

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3301

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3265

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3176

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3070

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3016

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2979

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2863

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2757

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2702

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2697

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2694

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2630

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2616

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2615

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2602

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2584

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2582

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2505

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2461

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2215

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2211

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2149

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2086

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2054

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2000

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1997

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1970

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1924

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1922

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1861

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1796

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1730

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1729

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1684

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1649

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1641

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1635

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1622

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1615

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1610

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1603

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1597

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1581

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1576

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1557

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1532

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1524

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1517

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1428

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1389

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1363

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1358

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1354

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1329

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1255

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1236

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1221

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1201

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1146

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1117

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1115

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1076

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1024

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0994

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0972

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0963

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0960

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0946

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0892

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0877

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0859

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0848

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0840

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0831

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0815

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0776

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0769

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0757

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0746

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0733

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0731

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0727

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0639

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0629

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0618

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0580

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.0574

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0563

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0555

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0529

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0513

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`)