TreeWAS – [M16.7] Other secondary 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`	0.755	0.245	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.628	0.372	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.598	0.402	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`	0.485	0.515	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.484	0.516	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
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
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.331	0.669	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.323	0.677	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`	0.296	0.704	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.263	0.736	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.255	0.745	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.243	0.756	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`	0.230	0.769	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.225	0.775	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.224	0.776	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.195	0.805	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.176	0.824	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
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.140	0.859	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.123	0.877	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.121	0.879	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.120	0.880	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.114	0.886	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.113	0.887	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.105	0.895	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.103	0.897	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
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.093	0.907	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.092	0.908	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.088	0.912	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.086	0.914	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.077	0.922	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.076	0.924	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.076	0.924	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.074	0.926	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.073	0.927	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.070	0.930	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.069	0.931	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.064	0.935	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.058	0.942	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.057	0.943	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.050	0.950	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
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.043	0.957	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.043	0.957	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.041	0.959	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.039	0.961	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.036	0.964	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
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.033	0.967	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`	0.031	0.969	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.028	0.971	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.026	0.973	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.024	0.975	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.023	0.977	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.021	0.979	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.017	0.983	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.016	0.984	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.015	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.012	0.987	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.011	0.989	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.011	0.989	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.008	0.991	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.008	0.991	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.008	0.991	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.008	0.992	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.008	0.992	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.007	0.993	0.001
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	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`	0.006	0.994	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.006	0.994	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.994	0.006
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.005	0.995	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.005	0.995	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	0.996	0.004
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.996	0.004
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.002	0.998	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.002	0.998	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.002	0.998	0.000
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
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.002	0.998	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.998	0.002
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	0.998	0.002
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.998	0.002
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.998	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.999	0.001
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
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	0.999	0.001
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	0.999	0.001
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.001	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.001	0.999	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.001
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.001	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.001	0.999	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.001	0.999	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	0.999	0.001
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.001
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.001	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.999	0.001
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	0.999	0.001
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.999	0.001
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.999	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
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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
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	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
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	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
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	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
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	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
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
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	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
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	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
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
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
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	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
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

This table lists the top 491 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0099

log Bayes Factor = 16.3687

contains 3 variants

0.9621

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9780

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9583

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9311

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9188

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9085

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.8969

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8907

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.8871

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.8850

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8747

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8585

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8404

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8267

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8096

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7961

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7841

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7822

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7301

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7147

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7038

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6963

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6938

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6667

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6648

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6080

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5515

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5460

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5406

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5329

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5272

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5192

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5109

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5097

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5071

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4682

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4658

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4302

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3780

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3680

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3647

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3633

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3474

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3462

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3391

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3355

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3274

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3118

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3077

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2979

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2960

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2786

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2718

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2708

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2620

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2590

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2585

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2582

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2505

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2461

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2426

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2375

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2301

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2288

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2263

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2245

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2239

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2178

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2170

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2109

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2080

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2074

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2030

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1957

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1953

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1928

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1920

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1878

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1869

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1723

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1717

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1631

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1618

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1607

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1546

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1527

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1508

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1473

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1445

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1434

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1420

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1394

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1392

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1389

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1369

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1232

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1191

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1165

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1110

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1100

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1084

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1038

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1038

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1012

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1003

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0972

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0957

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0945

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0909

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0892

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0837

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0762

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

0.0719

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0710

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0699

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0691

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0679

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0672

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0620

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0620

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0619

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0608

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0584

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0537

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0529

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0508

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0502

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0501

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

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`)