TreeWAS – [D18] Haemangioma and lymphangioma, any site

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
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.872	0.128	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.751	0.249	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.729	0.271	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.707	0.293	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.682	0.318	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.573	0.427	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.536	0.464	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.492	0.508	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.489	0.511	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.484	0.516	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.471	0.529	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.457	0.543	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.446	0.554	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.428	0.571	0.001
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.382	0.618	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.327	0.673	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.314	0.685	0.002
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.303	0.697	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.296	0.704	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.278	0.721	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.241	0.759	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.224	0.776	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.222	0.778	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.173	0.827	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.167	0.833	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.160	0.839	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.113	0.887	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.110	0.890	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.077	0.921	0.002
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.079	0.921	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.068	0.932	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.059	0.941	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.049	0.951	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.047	0.953	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.039	0.961	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.038	0.962	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.037	0.963	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.032	0.967	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.029	0.971	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.024	0.975	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.024	0.976	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.022	0.978	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.021	0.979	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.019	0.981	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.017	0.982	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.017	0.982	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.017	0.983	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.017	0.983	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.015	0.985	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.987	0.011
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.987	0.001
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.011	0.989	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.011	0.989	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.010	0.990	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.008	0.991	0.001
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.008	0.991	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.008	0.992	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.008	0.992	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.992	0.001
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.005	0.994	0.001
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.006	0.994	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.006	0.994	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.005	0.994	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.005	0.994	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.005	0.995	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.996	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.997	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.003	0.997	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.003	0.997	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.003	0.997	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.002	0.998	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.002	0.998	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.998	0.001
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	0.998	0.002
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.002	0.998	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.002	0.998	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.002	0.998	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.998	0.002
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.002	0.998	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.001	0.998	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.001	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.001	0.999	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.999	0.001
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.999	0.001
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
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rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	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
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	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
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	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
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	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
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	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
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	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
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	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
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	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
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.8701

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2114

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9854

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9802

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9696

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9642

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9636

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9021

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8807

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8463

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8380

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8028

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7922

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7842

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7536

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.7504

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7346

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7138

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7106

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6725

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6602

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6492

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6441

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6404

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6349

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6276

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6189

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6152

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6139

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6096

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6065

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6045

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6034

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5956

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5863

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5859

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5708

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5657

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5643

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5589

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5519

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5311

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5299

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5259

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5229

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5171

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5089

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5065

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5036

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4976

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4909

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4831

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4829

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4799

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4766

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4742

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4741

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4710

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4668

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4652

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4509

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4497

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4482

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4448

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4436

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4409

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4409

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4343

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4327

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4322

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4297

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4272

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4256

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4254

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4254

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4250

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4243

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4225

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4224

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4211

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4200

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4198

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4197

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4188

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4185

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4177

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4176

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4176

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4176

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4176

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4176

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4176

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4176

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4175

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4174

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4173

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4172

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4168

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4165

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4159

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4156

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4155

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4149

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4085

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4056

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4045

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4021

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3998

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3880

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3876

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3782

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3531

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3473

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3300

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3106

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3023

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2950

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2748

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2735

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2645

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2574

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2534

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2399

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2340

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2074

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1963

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1913

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1911

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1787

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1735

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1734

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1608

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1290

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1164

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0888

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0880

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0759

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0728

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0680

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0655

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0598

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0588

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0582

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

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

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

Parent term	D10-D36 Benign neoplasms
Nested terms	D18.0 Haemangioma, any site D18.1 Lymphangioma, any site

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`)