TreeWAS – [M54.55] Low back pain (Thoracolumbar region)

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
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.725	0.275	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.717	0.283	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.685	0.315	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.684	0.316	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.683	0.317	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.678	0.321	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.676	0.324	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.630	0.370	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.627	0.373	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.531	0.469	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.507	0.493	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.492	0.508	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	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
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.451	0.549	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.434	0.566	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.432	0.568	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.424	0.576	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.403	0.597	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.384	0.616	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.373	0.626	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
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.364	0.636	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.355	0.645	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.319	0.681	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.316	0.684	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.312	0.688	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.306	0.694	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.291	0.709	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.290	0.710	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`	0.267	0.733	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
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.158	0.842	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.157	0.843	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.154	0.846	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
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.123	0.877	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`	0.084	0.916	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`	0.081	0.919	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
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.062	0.938	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.055	0.944	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.052	0.948	0.000
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`	0.036	0.964	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.033	0.966	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.033	0.967	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.033	0.967	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.031	0.969	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.029	0.971	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	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
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.019	0.980	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.018	0.981	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.018	0.981	0.001
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
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.012	0.987	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.988	0.012
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.010	0.990	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
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.006	0.994	0.000
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	0.995	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.003	0.996	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.003	0.997	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.003	0.997	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.997	0.003
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.997	0.002
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.998	0.002
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.001	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.998	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.998	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
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
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.001	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.001
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	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
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	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
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.001
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.001
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.001	0.999	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.001	0.999	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.001	0.999	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	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
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.001	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.001
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	0.999	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	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
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
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rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	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
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
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	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
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	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
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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 X0013

log Bayes Factor = 548.265

contains 23 variants

0.9856

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9746

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9566

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9429

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9138

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9128

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9110

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9031

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9015

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8709

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8641

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8494

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8437

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8417

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8358

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8231

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8220

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8038

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7987

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7974

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7900

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7718

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7622

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7612

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7430

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7414

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7362

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7169

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7168

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7167

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7167

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7162

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7156

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7125

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7119

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7116

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7099

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7078

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6997

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6925

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6902

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6887

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6836

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6814

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6615

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6580

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6552

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6444

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6341

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6283

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6267

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6170

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6152

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6097

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5979

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5328

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5311

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5240

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5156

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5133

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5075

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4912

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4891

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4817

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4735

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4645

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4582

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4550

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4379

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4293

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4287

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3762

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.3745

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3697

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3280

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3163

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3105

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3093

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3023

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2869

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2850

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2753

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2726

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2670

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2599

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2535

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2488

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2307

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2255

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2228

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2049

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2023

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1998

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1977

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1848

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1818

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1658

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1637

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1630

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1624

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1562

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1553

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1517

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1460

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1440

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1437

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1392

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1391

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1390

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1360

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1348

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1325

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1297

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1286

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1259

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1237

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1200

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1182

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1135

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1125

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1097

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1094

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1084

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1030

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0978

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0940

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0914

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0903

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0862

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0769

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0755

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0746

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0711

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0615

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0609

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0594

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0548

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0545

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0521

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`)