TreeWAS – [L02.3] Cutaneous abscess, furuncle and carbuncle of buttock

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
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.845	0.155	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.779	0.221	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.596	0.404	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.566	0.434	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.565	0.435	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.548	0.452	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.520	0.480	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.505	0.495	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.503	0.497	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.485	0.515	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.475	0.525	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.467	0.533	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.445	0.555	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.435	0.565	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.417	0.583	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.412	0.588	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.403	0.597	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.380	0.620	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.370	0.630	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.348	0.651	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.347	0.653	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.335	0.665	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.332	0.668	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.312	0.688	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.308	0.692	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.302	0.698	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.284	0.716	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.281	0.719	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.279	0.720	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.273	0.727	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.252	0.748	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.249	0.751	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.242	0.758	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.241	0.759	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.239	0.761	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.235	0.765	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.234	0.765	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.225	0.775	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.206	0.794	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.197	0.803	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.191	0.809	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.184	0.816	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.171	0.829	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.170	0.830	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.169	0.831	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.139	0.861	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.131	0.868	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.128	0.871	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.124	0.876	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.120	0.880	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.106	0.891	0.003
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.096	0.901	0.003
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.098	0.902	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.092	0.907	0.001
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.091	0.909	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.085	0.915	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.084	0.916	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.075	0.925	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.066	0.933	0.001
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.061	0.939	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.059	0.941	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.046	0.954	0.001
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.044	0.955	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.039	0.960	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.038	0.962	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.037	0.962	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.037	0.963	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.031	0.969	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.030	0.970	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.026	0.974	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.022	0.978	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.022	0.978	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.986	0.014
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.013	0.986	0.001
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.988	0.012
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.011	0.989	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.010	0.990	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.010	0.990	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.990	0.010
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	0.990	0.010
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	0.991	0.009
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.009	0.991	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.007	0.992	0.001
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.007	0.993	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.006	0.993	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.006	0.994	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.006	0.994	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.005	0.994	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.005	0.995	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.005	0.995	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.005	0.995	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.004	0.995	0.001
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.995	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.004	0.996	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.004	0.996	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.003	0.996	0.001
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.996	0.004
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.004	0.996	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.003	0.996	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.003	0.997	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.003	0.997	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.003	0.997	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.997	0.003
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.003	0.997	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	0.997	0.003
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	0.997	0.003
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.997	0.003
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.003	0.997	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.997	0.003
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.001
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.998	0.002
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.998	0.002
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.998	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.998	0.002
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.998	0.002
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.998	0.002
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.998	0.002
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.998	0.002
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	0.998	0.002
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.001	0.998	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.998	0.002
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.998	0.002
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.002	0.998	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.002	0.998	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.998	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.001	0.999	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	0.999	0.001
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.999	0.001
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.001	0.999	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.001	0.999	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.001
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.001	0.999	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.001	0.999	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.001	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.001
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.001
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	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
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
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.001	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.001
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	0.999	0.001
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.001	0.999	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.001	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.999	0.001
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.999	0.001
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	0.999	0.001
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.001
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.001	0.999	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.001	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.001
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.001
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	0.999	0.001
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.001	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.001	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	0.999	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	0.999	0.001
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	0.999	0.001
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.001	0.999	0.000
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rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	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
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	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
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	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
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
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
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
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	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
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
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	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
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	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
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	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
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4959

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3080

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9924

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9911

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9822

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9698

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9603

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9552

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9454

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9384

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9341

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9340

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9292

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9228

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9131

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9034

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8965

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8909

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8818

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8733

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8653

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8613

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8513

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8107

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8083

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7958

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7887

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7821

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7742

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7638

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7454

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7300

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7100

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6873

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6849

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6799

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6783

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6746

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6452

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6432

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6389

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6386

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6343

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6327

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6280

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6274

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6267

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6162

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6152

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6066

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6004

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5864

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5843

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5667

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5507

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5480

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5438

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5336

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5079

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5017

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4913

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4870

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4844

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.4804

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4560

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4453

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4436

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4258

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4215

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4169

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4072

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3924

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3762

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3744

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3604

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3589

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3512

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3457

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3371

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3267

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3176

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3067

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2947

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2721

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2685

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2632

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2507

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2442

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2430

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2340

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2307

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2171

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2015

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1983

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1976

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1922

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1905

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1892

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1876

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1809

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1698

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1675

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1655

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1621

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1539

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1319

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1316

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1316

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1280

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1202

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1138

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1128

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1097

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1054

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0903

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0878

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0837

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0833

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0829

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0790

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0768

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0754

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0742

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0676

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0623

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0602

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0568

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0565

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0533

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0522

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)