TreeWAS – [G56.9] Mononeuropathy of upper limb, unspecified

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`	0.700	0.300	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.480	0.520	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.462	0.538	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.446	0.554	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.416	0.584	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.407	0.593	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.401	0.599	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.389	0.611	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.378	0.622	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.374	0.626	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.367	0.633	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.366	0.634	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.341	0.659	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.339	0.661	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.318	0.682	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.314	0.686	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.312	0.688	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.304	0.696	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.282	0.717	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.273	0.727	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.251	0.749	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.241	0.759	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.240	0.759	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.238	0.762	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.230	0.769	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.228	0.772	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.221	0.779	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.220	0.780	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.215	0.785	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.213	0.787	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.207	0.792	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.199	0.801	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.197	0.802	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.194	0.806	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.189	0.811	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.187	0.812	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.176	0.824	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.165	0.835	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.163	0.837	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.160	0.840	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.158	0.841	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.158	0.842	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.151	0.848	0.001
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.143	0.857	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.142	0.858	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.140	0.859	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.139	0.860	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.133	0.867	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.133	0.867	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.129	0.869	0.002
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.130	0.869	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.126	0.873	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.125	0.875	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.123	0.877	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.122	0.877	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.121	0.878	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.117	0.882	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.117	0.883	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.112	0.888	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.111	0.889	0.001
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.100	0.900	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.097	0.903	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.090	0.909	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.081	0.919	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.080	0.920	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.078	0.922	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.076	0.924	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.071	0.929	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.065	0.935	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.059	0.941	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.058	0.942	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.055	0.945	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.053	0.947	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.052	0.948	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.048	0.951	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.043	0.954	0.003
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.044	0.956	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.043	0.956	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.041	0.959	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.033	0.967	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.030	0.970	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.021	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.016	0.980	0.004
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.019	0.981	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.017	0.982	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.015	0.985	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.010	0.989	0.001
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.009	0.991	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.008	0.992	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.007	0.993	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.006	0.993	0.001
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.006	0.994	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.006	0.994	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.994	0.006
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.005	0.995	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	0.995	0.005
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.997	0.002
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.002	0.998	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.998	0.002
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.002	0.998	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.002	0.998	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.001
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.001	0.999	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	0.999	0.001
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	0.999	0.001
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.001	0.999	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	0.999	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.999	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	0.999	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	0.999	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	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
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
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rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	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
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	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
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	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
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	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
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	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
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	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
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	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 X0242

log Bayes Factor = 14.6693

contains 2 variants

0.2275

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2155

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9458

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9246

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9206

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9098

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8350

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8170

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8003

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7426

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7365

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7361

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7325

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7169

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7167

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7122

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7037

Cluster X0207

log Bayes Factor = 94.6548

contains 2 variants

0.7037

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7022

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6970

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6937

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6907

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6857

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6844

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6763

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6706

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6666

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6658

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6624

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6599

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6447

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6336

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6229

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6155

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6118

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6062

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5833

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5825

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5802

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5692

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5647

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5611

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5601

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5583

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5471

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5443

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5334

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5303

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5146

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5117

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5113

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5107

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5088

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5023

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4905

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4847

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4813

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4781

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4765

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4757

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4747

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4730

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4723

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4698

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4491

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4449

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4351

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4350

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4305

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4254

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4227

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4205

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4189

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4166

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4075

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4045

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3947

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3935

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3904

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3839

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3823

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3820

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3816

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3797

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3781

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3776

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3769

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3690

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3658

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3604

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3517

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3427

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3283

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3257

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3249

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3138

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2972

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2955

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2947

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2932

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2907

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2873

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2818

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2807

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2782

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2741

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2691

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2681

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2661

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2632

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2629

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2618

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2614

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2570

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2554

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2530

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2515

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2433

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2433

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2432

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2388

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2369

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2360

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2353

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2323

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2297

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2293

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2259

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2256

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2246

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2212

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2206

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2197

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2190

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2170

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2121

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2100

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2095

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2025

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2013

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2013

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1996

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1993

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1992

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1990

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1958

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1956

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1907

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1906

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1869

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1822

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1810

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1800

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1791

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1740

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1681

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1662

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1661

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1648

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1642

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1629

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1577

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1554

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1553

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1548

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1545

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1536

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1532

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1514

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1507

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1497

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1479

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1476

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1474

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1473

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1463

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1434

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1429

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1421

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1389

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1356

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1355

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1351

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1345

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1342

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1310

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1305

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1303

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1229

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1218

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1210

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1154

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1132

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1127

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1087

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1064

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0862

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0805

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0797

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0796

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0776

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0729

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0623

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0619

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0543

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0502

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`)