TreeWAS – [B96.0] Mycoplasma pneumoniae [M. pneumoniae] as the cause of diseases classified to other chapters

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`	0.709	0.291	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.703	0.297	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.700	0.300	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.696	0.304	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.696	0.304	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.696	0.304	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.656	0.343	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.656	0.344	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.650	0.350	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.624	0.375	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.377	0.623
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.618	0.382	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.615	0.385	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.592	0.408	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.554	0.446	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.525	0.475	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.512	0.488	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.496	0.504	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.485	0.514	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.455	0.544	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.453	0.547	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.451	0.549	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.444	0.556	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.442	0.558	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.441	0.559	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.438	0.562	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.438	0.562	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.418	0.582	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.416	0.583	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.405	0.594	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.397	0.603	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.397	0.603	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.385	0.615	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.382	0.618	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.380	0.620	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.369	0.630	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.344	0.656	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.335	0.665	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.311	0.689	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.305	0.695	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.279	0.721	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.277	0.723	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.230	0.770	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.225	0.775	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.223	0.777	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.218	0.781	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.204	0.796	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.167	0.833	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.166	0.833	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.164	0.836	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.156	0.844	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.155	0.845	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.147	0.853	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.143	0.857	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.127	0.872	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.127	0.872	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.127	0.873	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.113	0.887	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.105	0.895	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.105	0.895	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.101	0.899	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.082	0.918	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.077	0.922	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.077	0.922	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.075	0.925	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.075	0.925	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.066	0.934	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.064	0.936	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.057	0.942	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.057	0.943	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.053	0.946	0.001
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.047	0.952	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.043	0.957	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.033	0.967	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.027	0.973	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.027	0.973	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.024	0.976	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.021	0.979	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.017	0.983	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.012	0.988	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.010	0.990	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.009	0.991	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.007	0.993	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.005	0.995	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.003	0.996	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.003	0.997	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.003	0.997	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.003	0.997	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.003	0.997	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.002	0.998	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.002	0.998	0.001
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.998	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.998	0.002
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.998	0.002
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.002	0.998	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.002	0.998	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.002	0.998	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	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
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.001
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.001	0.999	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
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rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	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
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	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
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	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
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	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
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	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
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	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
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	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
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
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
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.2840

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2457

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1126

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7168

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7168

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7167

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7166

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7166

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7166

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7166

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7165

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7164

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7163

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7161

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7160

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7159

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7156

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7141

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7141

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7138

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7130

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7129

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7125

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7123

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7121

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7115

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7115

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7113

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7109

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7089

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7088

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7087

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7081

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7078

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7076

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7059

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7054

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7046

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7033

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7020

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7001

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6963

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6926

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6866

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6857

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6835

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6814

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6707

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6694

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6558

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6550

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6544

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6454

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6302

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6217

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6168

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5952

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5847

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5689

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5657

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5611

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5608

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5570

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5440

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5270

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5248

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5199

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5193

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5095

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4491

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4461

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4423

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3809

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3803

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3523

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3518

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3360

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2448

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2434

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2382

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2369

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2365

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2267

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2205

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2175

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2149

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1650

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1574

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1554

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1518

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1437

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1413

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1368

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1223

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1116

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1036

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1013

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1002

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0997

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0929

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0921

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0896

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0886

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0873

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0870

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0784

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0772

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0755

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0717

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0634

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0600

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0577

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0529

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`)