TreeWAS – [S22.20] Fracture of sternum (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
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.635	0.365	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.635	0.365	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.601	0.399	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.564	0.436	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.496	0.504	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.488	0.512	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.468	0.532	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.446	0.554	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.435	0.565	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.425	0.575	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.420	0.580	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.412	0.587	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.401	0.599	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.393	0.607	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.389	0.611	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.386	0.614	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.380	0.620	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.368	0.632	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.367	0.633	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.348	0.652	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.347	0.652	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.343	0.657	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.340	0.659	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.333	0.667	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.331	0.669	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.325	0.675	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.297	0.703	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.294	0.705	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.289	0.711	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.287	0.713	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.285	0.714	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.284	0.715	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.283	0.717	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.281	0.719	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.281	0.719	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.280	0.720	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.280	0.720	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.278	0.721	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.278	0.722	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.271	0.729	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.269	0.730	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.267	0.732	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.258	0.742	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.257	0.742	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.253	0.746	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.253	0.747	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.250	0.750	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.249	0.750	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.249	0.751	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.249	0.751	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.243	0.757	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.239	0.761	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.238	0.762	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.235	0.765	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.234	0.765	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.232	0.768	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.229	0.771	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.226	0.774	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.218	0.782	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.217	0.782	0.001
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.211	0.789	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.208	0.791	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.207	0.792	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.198	0.802	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.195	0.804	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.193	0.807	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.193	0.807	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.189	0.811	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.175	0.825	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.173	0.827	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.171	0.829	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.168	0.832	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.164	0.836	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.163	0.837	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.161	0.839	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.157	0.843	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.153	0.846	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.136	0.864	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.133	0.866	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.132	0.868	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.126	0.874	0.001
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.112	0.887	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.112	0.888	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.108	0.891	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.094	0.906	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.076	0.923	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.075	0.924	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.062	0.937	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.053	0.946	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.049	0.951	0.001
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	0.964	0.036
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.035	0.965	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.031	0.969	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.026	0.973	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.021	0.979	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.018	0.982	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.017	0.983	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.006	0.990	0.004
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.008	0.991	0.001
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	0.991	0.009
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.991	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.008	0.992	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.007	0.993	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.007	0.993	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.005	0.995	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.004	0.996	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	0.996	0.004
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.004	0.996	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.996	0.004
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	0.996	0.004
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.997	0.003
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.997	0.003
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.003	0.997	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.003	0.997	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.997	0.003
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.003	0.997	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.997	0.003
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.003	0.997	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.003	0.997	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.002	0.997	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.997	0.002
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.997	0.002
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.002	0.998	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.002	0.998	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.002	0.998	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.002	0.998	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	0.998	0.002
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.998	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.998	0.002
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.002	0.998	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.002	0.998	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.002	0.998	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.002	0.998	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	0.998	0.002
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.002	0.998	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.998	0.002
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	0.998	0.002
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.002	0.998	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.002	0.998	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.001	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	0.999	0.001
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.001	0.999	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.001	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	0.999	0.001
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.001
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.999	0.001
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.001	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.001	0.999	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	0.999	0.001
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.999	0.001
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.001
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.001
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	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
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.001	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.001	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.001	0.999	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	0.999	0.001
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.001
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.001	0.999	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.001	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.001
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.001
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.001
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rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	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
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	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
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	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
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	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
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	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
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	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

0.2800

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2219

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0766

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9831

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9777

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9730

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9642

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9639

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9514

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9381

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9056

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9025

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8997

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8874

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8584

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8498

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8460

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8442

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8432

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8412

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8398

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8229

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8155

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8046

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8039

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8001

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7759

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7740

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7606

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7561

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7415

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7297

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7285

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7257

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7202

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7095

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6984

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6915

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6876

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6859

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6783

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6721

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6708

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6657

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6648

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6631

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6614

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6576

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6492

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6428

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6390

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6383

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6348

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6324

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6291

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6232

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6161

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6129

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6128

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6055

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6002

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5966

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5933

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5902

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5800

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5722

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5718

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5691

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5516

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5516

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5509

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5477

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5383

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5374

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5344

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5279

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5231

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5183

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5132

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5115

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5070

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5006

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5005

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4958

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4872

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4841

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4829

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4755

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4739

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4652

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4514

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4431

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4260

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4252

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4230

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4223

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4178

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4104

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3919

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3885

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3877

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3837

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3771

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3757

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3737

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3706

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3686

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3669

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3575

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3436

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3415

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3410

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3407

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3397

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3348

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3348

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3345

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3273

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3168

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3125

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3075

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3028

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3013

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2996

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2966

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2842

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2796

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2789

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2788

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2782

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2753

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2676

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2572

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2546

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2485

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2464

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2364

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2244

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2238

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2214

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2196

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.2151

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2114

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2113

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2077

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2071

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1999

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1974

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1965

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1945

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1945

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1846

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1812

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1757

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1747

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1653

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1551

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1543

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1536

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1510

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1490

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1450

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1393

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1372

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1368

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1348

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1339

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1318

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1285

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1234

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1227

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1214

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1078

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0911

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0890

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0824

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0824

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0804

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0734

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0707

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0677

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0667

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0657

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0640

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0546

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0546

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0543

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0537

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`)