TreeWAS – [M54.50] Low back pain (Multiple sites in spine)

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
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.819	0.181	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.799	0.201	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.761	0.239	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.758	0.242	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.701	0.299	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.665	0.335	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.656	0.344	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.566	0.433	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.531	0.469	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.503	0.497	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.492	0.508	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.471	0.529	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.459	0.541	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.458	0.542	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.446	0.554	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.434	0.566	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.424	0.576	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.413	0.587	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.403	0.597	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.399	0.601	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.394	0.606	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.385	0.614	0.001
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.384	0.616	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.377	0.623	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.371	0.628	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.364	0.636	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.361	0.638	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.335	0.664	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.321	0.679	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.306	0.694	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.295	0.705	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.291	0.709	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.273	0.727	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.247	0.753	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.241	0.758	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.228	0.771	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.210	0.790	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.198	0.801	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.816	0.184
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.184	0.816	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.175	0.825	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.166	0.834	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.155	0.845	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.146	0.853	0.001
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.132	0.868	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.126	0.873	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.120	0.879	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.098	0.902	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.097	0.902	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.097	0.902	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.097	0.903	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.094	0.906	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.084	0.916	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.081	0.918	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.076	0.924	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.076	0.924	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.067	0.933	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.067	0.933	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.066	0.934	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.062	0.938	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.055	0.944	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.055	0.944	0.001
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.045	0.954	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.043	0.956	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.038	0.962	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.037	0.963	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.033	0.966	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.033	0.967	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.031	0.969	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.030	0.970	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.028	0.972	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.028	0.972	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.027	0.973	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.026	0.974	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.023	0.977	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.019	0.980	0.001
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.018	0.981	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.018	0.982	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.014	0.983	0.002
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.015	0.985	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.012	0.988	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.989	0.011
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.009	0.991	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.007	0.993	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.006	0.994	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.005	0.994	0.001
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.005	0.995	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.004	0.996	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.003	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.997	0.003
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.003	0.997	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.003	0.997	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.003	0.997	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.997	0.002
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.001
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.002	0.998	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.002	0.998	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.998	0.002
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.998	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.001	0.999	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	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
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.999	0.001
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.001	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.001
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.999	0.001
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	0.999	0.001
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.999	0.001
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.001	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.001	0.999	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.001	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	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
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	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
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
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rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
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
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	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
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.9800

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9581

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9519

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9505

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9444

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9444

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9277

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9245

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9231

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9224

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9194

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9113

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9036

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9018

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8997

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8882

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8835

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8828

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8812

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8726

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8712

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8687

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8664

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8643

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8625

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8379

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8318

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8134

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7956

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7869

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7812

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7704

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7682

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7666

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7659

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7604

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7598

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7586

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7572

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7557

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7552

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7526

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7256

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7138

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7046

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7044

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6837

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6828

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6826

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6824

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6701

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6650

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6648

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6511

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6481

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6376

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6247

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5840

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5810

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5792

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5470

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5180

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5133

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4887

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4791

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4643

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4524

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4452

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4235

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4090

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4086

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4039

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3815

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3325

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3229

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3144

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3075

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3062

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3045

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2937

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2853

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2722

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2689

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2676

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2601

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2563

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2562

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2396

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2372

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2334

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2293

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2206

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2053

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2038

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1998

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1994

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1950

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1915

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1885

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1859

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1858

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1798

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1731

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1639

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1626

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1593

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1586

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1550

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1507

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1460

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1401

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1397

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1373

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1370

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1286

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1269

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1237

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1162

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1145

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1125

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1094

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1028

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0994

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0985

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0975

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0961

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0929

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0856

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0845

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0843

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0799

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0797

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0765

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0716

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0704

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0700

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0558

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0536

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0534

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0517

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0511

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`)