TreeWAS – [M47.90] Spondylosis, unspecified (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
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.841	0.159	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.637	0.363	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.610	0.390	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.609	0.391	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.586	0.414	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.506	0.494	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.476	0.524	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.457	0.543	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.456	0.544	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.442	0.558	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.434	0.566	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.396	0.604	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.388	0.612	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.379	0.620	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.379	0.620	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.379	0.621	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.366	0.633	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.358	0.642	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.344	0.656	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.336	0.663	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.319	0.681	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.316	0.684	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.301	0.699	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.299	0.700	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.279	0.721	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.276	0.724	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.263	0.736	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.254	0.745	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.251	0.749	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.250	0.749	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.246	0.754	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.240	0.760	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.240	0.760	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.227	0.773	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.225	0.775	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.220	0.780	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.216	0.784	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.206	0.794	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.205	0.795	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.203	0.796	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.196	0.803	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.194	0.805	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.192	0.808	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.178	0.821	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.177	0.823	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.160	0.840	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.150	0.850	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.143	0.857	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.142	0.858	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.140	0.860	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.140	0.860	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.135	0.865	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.131	0.868	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.124	0.875	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.119	0.881	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.110	0.890	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.109	0.891	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.098	0.902	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.087	0.913	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.083	0.916	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.082	0.918	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.081	0.918	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.076	0.924	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.072	0.928	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.064	0.935	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.062	0.938	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.061	0.939	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.054	0.945	0.001
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.055	0.945	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.053	0.947	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.048	0.951	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.047	0.952	0.001
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.045	0.954	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.036	0.964	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.033	0.967	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.032	0.967	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.030	0.969	0.001
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.029	0.970	0.001
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.028	0.971	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.028	0.972	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.027	0.973	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.025	0.975	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.023	0.976	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.023	0.977	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.023	0.977	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.022	0.977	0.001
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.979	0.021
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.020	0.980	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.017	0.983	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.011	0.989	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.009	0.991	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.992	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.008	0.992	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.007	0.993	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.993	0.007
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.006	0.994	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.994	0.006
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.005	0.994	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.005	0.995	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.996	0.004
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.003	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.003	0.997	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.003	0.997	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.997	0.001
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.002	0.997	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.002	0.998	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.002	0.998	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.002	0.998	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.002	0.998	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.002	0.998	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.002	0.998	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.002	0.998	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.002	0.998	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.002	0.998	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	0.998	0.002
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.002	0.998	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.002	0.998	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	0.998	0.002
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.002	0.998	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.998	0.002
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.002	0.998	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.998	0.002
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.998	0.002
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.998	0.002
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	0.998	0.002
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.998	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.001
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.001	0.999	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	0.999	0.001
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.999	0.001
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	0.999	0.001
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.001
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.001
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
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
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
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.001
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.999	0.001
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.001
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	0.999	0.001
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.999	0.001
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.001
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	0.999	0.001
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.001	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	0.999	0.001
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.001	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
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rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	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
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	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
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	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
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	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
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	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
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	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
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9940

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9913

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9911

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9880

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9858

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9831

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9786

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9774

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9762

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9704

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9645

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9630

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9576

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9441

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9420

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9298

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9278

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9106

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8966

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8914

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8850

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8787

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8584

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8541

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8541

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8363

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8329

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8322

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8281

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8278

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8209

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8036

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7918

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7896

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7819

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7798

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7782

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7738

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7631

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7608

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7490

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7476

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7457

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7424

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7368

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7367

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7303

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7194

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7172

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7166

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7078

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7066

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7043

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6842

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6822

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6820

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6818

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6794

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6622

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6572

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6562

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6378

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6254

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6223

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5904

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5548

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5518

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5438

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5437

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5154

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5118

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5103

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5051

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4831

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4788

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4618

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4547

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4523

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4495

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.4301

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4280

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4243

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4178

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4035

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3875

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3856

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3812

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3710

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3620

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3559

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3476

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3400

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3259

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3005

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3003

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2983

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2946

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2698

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2639

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2637

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2625

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2397

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2360

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2327

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2295

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2243

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2225

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2204

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2180

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2117

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2076

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2017

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1874

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1849

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1748

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1699

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1580

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1579

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1574

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1533

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1484

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1449

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1333

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1324

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1312

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1246

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1203

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1108

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1062

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1035

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1029

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1010

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0999

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0947

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0880

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0808

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0805

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0713

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0669

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0656

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0577

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0569

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0565

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0557

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0555

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`)