TreeWAS – [S32.00] Fracture of lumbar vertebra (closed)

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
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.747	0.253	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.742	0.258	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.731	0.269	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.574	0.426	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.543	0.457	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.517	0.483	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.511	0.489	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.507	0.493	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.497	0.503	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.473	0.527	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.471	0.529	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.459	0.541	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.451	0.549	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.446	0.554	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.444	0.556	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.443	0.557	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.438	0.562	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.438	0.562	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.429	0.571	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.423	0.576	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.407	0.593	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.382	0.617	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.381	0.619	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.379	0.621	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.355	0.645	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.344	0.656	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.340	0.660	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.337	0.663	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.336	0.663	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.328	0.672	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.327	0.673	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.326	0.674	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.312	0.687	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.310	0.689	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.307	0.693	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.304	0.696	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.301	0.699	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.300	0.700	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.298	0.702	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.291	0.709	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.288	0.711	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.283	0.717	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.280	0.720	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.275	0.724	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.273	0.727	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.273	0.727	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.264	0.736	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.255	0.745	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.248	0.751	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.244	0.755	0.001
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.242	0.758	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.241	0.758	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.236	0.764	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.232	0.767	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.228	0.772	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.225	0.775	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.221	0.779	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.218	0.782	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.208	0.792	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.203	0.797	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.194	0.806	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.193	0.807	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.193	0.807	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.191	0.809	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.189	0.810	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.189	0.811	0.001
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.188	0.812	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.185	0.815	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.181	0.819	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.179	0.821	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.177	0.822	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.177	0.823	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.176	0.824	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.171	0.829	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.163	0.837	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.138	0.862	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.138	0.862	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.133	0.867	0.001
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.123	0.876	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.122	0.878	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.121	0.878	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.107	0.892	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.105	0.894	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.103	0.896	0.001
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.102	0.897	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.098	0.901	0.001
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.061	0.938	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.044	0.955	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.040	0.960	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.035	0.965	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.029	0.970	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.027	0.973	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.026	0.973	0.001
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.025	0.974	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.021	0.979	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.021	0.979	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.019	0.980	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.017	0.983	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.016	0.983	0.001
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	0.988	0.012
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	0.990	0.010
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.009	0.991	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.007	0.993	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.994	0.006
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.005	0.995	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.005	0.995	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.003	0.997	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.997	0.003
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.003	0.997	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.002	0.997	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.998	0.002
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.998	0.002
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	0.998	0.002
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.002	0.998	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.002	0.998	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.002	0.998	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.998	0.001
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.002	0.998	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.002	0.998	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.998	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.002	0.998	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.002	0.998	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.002	0.998	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	0.998	0.002
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.998	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.001	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.001	0.999	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.001	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.001	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.001	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.001
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.001
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.001	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.001
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.001
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	0.999	0.001
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.999	0.001
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.001	0.999	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	0.999	0.001
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	0.999	0.001
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	0.999	0.001
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.001
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.999	0.001
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	0.999	0.001
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.001	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.001	0.999	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.001	0.999	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.001	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.999	0.001
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.001	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.001	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.001	0.999	0.000
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rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	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
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	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
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	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
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	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
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6758

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1311

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.1279

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9905

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9772

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9504

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9382

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9221

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9147

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8979

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8877

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8432

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8276

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8181

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7974

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7903

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7430

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7338

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7270

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6565

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6467

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6018

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5845

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5453

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5291

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5281

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5196

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5107

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4928

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4923

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4732

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4420

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4329

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4325

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4291

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4102

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4035

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4017

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3826

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3821

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3676

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3672

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3589

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3527

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3379

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3326

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3126

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3085

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2994

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2880

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2879

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2865

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2756

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2639

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2575

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2567

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2511

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2464

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2434

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2388

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2357

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2339

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2302

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2298

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2253

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2017

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1882

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1752

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1748

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1746

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1650

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1606

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1581

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1545

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1536

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1505

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1505

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1476

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1471

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1454

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1421

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1386

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1382

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1350

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1335

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1324

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1252

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1246

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1233

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1211

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1147

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1146

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1114

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1112

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1091

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1091

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1074

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1043

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1040

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1002

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1002

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0966

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0963

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0958

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0950

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0945

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0945

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0926

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.0907

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0905

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0858

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0833

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0828

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0818

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0817

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0800

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0786

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0754

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0749

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0714

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0683

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0647

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0638

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0631

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0627

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0617

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.0610

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0597

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0596

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0591

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0590

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0571

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0570

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0570

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0542

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0527

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0525

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`)