TreeWAS – [S41] Open wound of shoulder and upper arm

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

S41

Open wound of shoulder and upper arm

Parent term	S40-S49 Injuries to the shoulder and upper arm
Nested terms	S41.0 Open wound of shoulder S41.1 Open wound of upper arm S41.7 Multiple open wounds of shoulder and upper arm S41.8 Open wound of other and unspecified parts of shoulder girdle

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Variant effects

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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
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.764	0.236	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.759	0.241	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.734	0.266	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.734	0.266	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.710	0.290	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.698	0.302	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.664	0.336	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.658	0.342	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.657	0.342	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.656	0.344	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.645	0.354	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.640	0.360	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.640	0.360	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.637	0.363	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.633	0.367	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.625	0.375	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.620	0.379	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.612	0.388	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.600	0.399	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.595	0.405	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.594	0.406	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.592	0.408	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.591	0.409	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.587	0.412	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.587	0.413	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.587	0.413	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.583	0.417	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.582	0.418	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.581	0.419	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.577	0.423	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.575	0.425	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.574	0.426	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.574	0.426	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.574	0.426	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.572	0.428	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.568	0.431	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.563	0.437	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.562	0.438	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.558	0.441	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.539	0.461	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.536	0.463	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.536	0.463	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.536	0.464	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.535	0.465	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.535	0.465	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.532	0.467	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.531	0.469	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.522	0.478	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.509	0.491	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.506	0.494	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.504	0.496	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.503	0.497	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.500	0.499	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.500	0.500	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.499	0.501	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.495	0.505	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.494	0.506	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.494	0.506	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.492	0.508	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.488	0.512	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.484	0.516	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.481	0.519	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.481	0.519	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.481	0.519	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.479	0.521	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.476	0.524	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.465	0.535	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.464	0.536	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.459	0.541	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.456	0.544	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.453	0.547	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.450	0.550	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.440	0.560	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.434	0.566	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.428	0.572	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.418	0.581	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.409	0.590	0.001
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.401	0.598	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.396	0.604	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.394	0.606	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.394	0.606	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.385	0.615	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.338	0.661	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.316	0.684	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.309	0.690	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.308	0.691	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.286	0.713	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.242	0.758	0.001
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.207	0.792	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.131	0.869	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.098	0.902	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.083	0.917	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.067	0.933	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.050	0.950	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.048	0.952	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.043	0.957	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.041	0.959	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.032	0.968	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.031	0.969	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.026	0.974	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.023	0.977	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.012	0.987	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.010	0.990	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.992	0.008
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.008	0.992	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.004	0.995	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.005	0.995	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.004	0.996	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.004	0.996	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.004	0.996	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.004	0.996	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.004	0.996	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.003	0.996	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.003	0.996	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.003	0.997	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.002	0.998	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.002	0.998	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.002	0.998	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.002	0.998	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.001	0.998	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.002	0.998	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.001	0.998	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.002	0.998	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.001	0.998	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	0.998	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.001	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	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
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.001	0.999	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	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
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.001	0.999	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.001	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.001	0.999	0.000
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
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.999	0.001
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	0.999	0.001
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.001	0.999	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.001	0.999	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.001	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.001	0.999	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.999	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.001	0.999	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.001	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	0.999	0.001
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.001	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	0.999	0.001
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.999	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.001	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.001	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.001	0.999	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.000
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rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	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
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	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
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	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
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	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
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
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4865

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1833

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9987

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9950

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9949

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9922

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9918

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9903

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9866

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9839

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9799

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9739

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9725

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9692

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9677

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9666

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9655

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9585

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9575

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9536

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9449

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9444

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9437

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9352

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9312

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9225

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9189

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9139

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9110

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9075

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9067

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9001

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8983

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8980

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8979

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8959

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8882

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.8878

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8834

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8793

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8718

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8714

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8692

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8662

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8594

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8586

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8573

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8573

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8563

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8496

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8463

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8385

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8383

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8380

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8371

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8322

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8257

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8256

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8240

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8212

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8167

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8164

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8159

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8141

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8140

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8077

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8046

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8029

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7969

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7955

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7932

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7922

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7902

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7890

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7878

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7834

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7818

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7811

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7811

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7761

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7732

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7716

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7701

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7697

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7690

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7678

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7645

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7618

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7605

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7582

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7570

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7565

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7565

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7563

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7528

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7528

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7513

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7501

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7487

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7471

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7444

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7443

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7439

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7413

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7397

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7357

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7339

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7325

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7325

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7274

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7266

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7242

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7225

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7209

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7209

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7188

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7167

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7165

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7165

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7162

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7160

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7160

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7152

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7148

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7146

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7146

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7136

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7136

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7133

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7131

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7120

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7109

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7102

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7089

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7086

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7086

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7082

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7047

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7031

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7017

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7007

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6995

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6970

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6931

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6928

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6901

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6868

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6865

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6862

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6820

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6815

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6788

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6779

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6768

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6749

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6734

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6703

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6689

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6629

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6540

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6413

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6359

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6358

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6254

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6252

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6248

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6242

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6204

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6115

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6096

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6066

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6043

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5987

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5986

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5930

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5890

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5796

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5778

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5704

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5695

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5677

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5553

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5464

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5416

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5292

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5221

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5008

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4896

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4873

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4807

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4790

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4678

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4416

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4273

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4038

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3990

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3963

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3925

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3595

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3215

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3028

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2928

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2797

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2768

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1920

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1726

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1216

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1193

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1041

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.0977

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0899

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0580

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0572

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)

Hospitalization Episode Statistics (`HES`)