TreeWAS – [S64] Injury of nerves at wrist and hand level

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
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.878	0.122	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.856	0.144	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.851	0.149	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.832	0.168	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.818	0.182	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.808	0.192	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.775	0.225	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.774	0.226	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.769	0.231	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.764	0.236	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.732	0.268	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.730	0.270	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.707	0.293	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.704	0.296	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.700	0.300	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.699	0.301	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.697	0.303	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.683	0.317	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.682	0.317	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.657	0.343	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.656	0.343	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.655	0.345	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.653	0.347	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.637	0.362	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.619	0.381	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.616	0.384	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.614	0.385	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.612	0.388	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.610	0.390	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.606	0.394	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.604	0.396	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.598	0.401	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.595	0.405	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.589	0.411	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.578	0.422	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.572	0.428	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.572	0.428	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.570	0.430	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.550	0.450	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.549	0.451	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.544	0.456	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.533	0.466	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.527	0.473	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.522	0.478	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.520	0.480	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.511	0.488	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.506	0.493	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.495	0.504	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.485	0.515	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.477	0.523	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.470	0.530	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.455	0.545	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.450	0.550	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.447	0.553	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.444	0.556	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.428	0.571	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.428	0.572	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.420	0.580	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.412	0.588	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.401	0.599	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.399	0.601	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.395	0.605	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.394	0.606	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.391	0.608	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.386	0.614	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.386	0.614	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.366	0.634	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.355	0.645	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.347	0.653	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.345	0.655	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.341	0.659	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.312	0.687	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.307	0.693	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.300	0.700	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.253	0.747	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.250	0.750	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.242	0.758	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.231	0.769	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.223	0.775	0.001
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.207	0.793	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.182	0.818	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.177	0.822	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.849	0.151
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.136	0.864	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.135	0.865	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.117	0.882	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.105	0.894	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.102	0.897	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.096	0.904	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.091	0.908	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.075	0.924	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.059	0.941	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.035	0.964	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.032	0.967	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.032	0.968	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.030	0.968	0.002
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.978	0.022
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.022	0.978	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.015	0.984	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.015	0.985	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.013	0.985	0.001
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.012	0.988	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.009	0.991	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.007	0.993	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.994	0.006
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.005	0.995	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.004	0.996	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.004	0.996	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.003	0.997	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.003	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.997	0.003
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.998	0.002
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.002	0.998	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.002	0.998	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.002	0.998	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.998	0.002
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.002	0.998	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	0.998	0.002
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.999	0.001
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.001
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.999	0.001
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.999	0.001
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	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
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.001
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.999	0.001
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.999	0.001
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.999	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.001	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.999	0.001
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.001	0.999	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.001	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.999	0.001
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.001
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.999	0.001
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.001	0.999	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.999	0.001
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.999	0.001
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.999	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	0.999	0.001
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.001	0.999	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.001	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.999	0.001
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.999	0.001
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.999	0.001
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.999	0.001
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
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rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	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
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	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
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
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	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
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	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

0.4131

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3454

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9998

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9996

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9991

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9987

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9978

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9976

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9974

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9973

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9973

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9972

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9969

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9965

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9961

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9959

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9956

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9956

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9948

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9914

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9909

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9909

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9891

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9888

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9871

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9850

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9813

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9813

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9805

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9799

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9789

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9772

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9771

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9753

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9738

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9678

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9671

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9670

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9663

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9663

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9662

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9650

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9615

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9607

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9578

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9574

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9562

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9552

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9552

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9543

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9541

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9532

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9495

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9494

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9473

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9452

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9451

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9451

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9429

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9414

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9365

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9353

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9323

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9311

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9307

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9277

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9254

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9243

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9165

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9165

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9160

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9156

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9109

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9109

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9077

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9040

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9026

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8985

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8960

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8950

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8927

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8907

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8905

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8901

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8888

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8849

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8842

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8830

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8794

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8790

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8786

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8779

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8764

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8760

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8757

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8749

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8711

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8705

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8675

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8589

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8582

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8578

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8564

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8554

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8542

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8532

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8515

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8465

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8439

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8426

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8425

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8405

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8405

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8393

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8384

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8318

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8308

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8264

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8237

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8144

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8106

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8078

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8075

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8060

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8050

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8016

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8014

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8000

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7914

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7840

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7819

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7797

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7792

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7790

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7770

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7727

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7636

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7541

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7460

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7457

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7415

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7281

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7239

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7178

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7156

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7131

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6934

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6922

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6864

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6757

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6713

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6707

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6678

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6564

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6559

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6489

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6475

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6408

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6370

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6277

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6274

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6210

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6206

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6107

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6076

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6038

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6016

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5762

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5660

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5633

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5498

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5365

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5041

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4946

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4942

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4937

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4532

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4504

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4472

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4066

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3970

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3931

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3780

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3581

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3305

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3148

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2633

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2575

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2485

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2482

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2458

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2405

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2156

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1977

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1911

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1810

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1698

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1392

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1270

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1173

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0784

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0676

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0576

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0576

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0500

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`)