TreeWAS – [G83.2] Monoplegia of upper limb

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
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.669	0.331	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.570	0.430	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.564	0.436	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.554	0.446	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.542	0.458	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.536	0.463	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.521	0.478	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.515	0.484	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.508	0.492	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.484	0.516	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.473	0.527	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.468	0.531	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.455	0.545	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.449	0.550	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.447	0.553	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.432	0.568	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.427	0.573	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.425	0.575	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.424	0.576	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.415	0.584	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.408	0.592	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.403	0.596	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.402	0.598	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.399	0.601	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.398	0.602	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.392	0.608	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.389	0.611	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.386	0.614	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.385	0.614	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.385	0.615	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.371	0.629	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.369	0.631	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.365	0.635	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.363	0.637	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.352	0.647	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.347	0.653	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.345	0.655	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.340	0.659	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.340	0.660	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.336	0.663	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.336	0.663	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.331	0.669	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.330	0.670	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.328	0.671	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.323	0.677	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.314	0.686	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.305	0.694	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.303	0.696	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.302	0.698	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.300	0.700	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.298	0.702	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.298	0.702	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.294	0.706	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.282	0.718	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.279	0.721	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.267	0.732	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.267	0.733	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.266	0.733	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.265	0.734	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.259	0.741	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.251	0.749	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.249	0.751	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.240	0.759	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.233	0.767	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.224	0.775	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.220	0.780	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.217	0.783	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.216	0.784	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.211	0.789	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.209	0.790	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.197	0.803	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.194	0.805	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.193	0.807	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.191	0.808	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.181	0.818	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.172	0.827	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.158	0.842	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.156	0.844	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.150	0.850	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.136	0.864	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.112	0.888	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.109	0.891	0.001
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.106	0.893	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.059	0.941	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.048	0.952	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.041	0.958	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.975	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.023	0.977	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.020	0.979	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.018	0.982	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.016	0.984	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.014	0.986	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.013	0.987	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.011	0.989	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.009	0.991	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.005	0.995	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.995	0.005
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.996	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.004	0.996	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.003	0.997	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.997	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.002	0.998	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.998	0.002
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.002	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.002	0.998	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.002	0.998	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	0.998	0.002
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.002	0.998	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.002	0.998	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.002	0.998	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.002	0.998	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.998	0.002
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.001	0.998	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	0.998	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.998	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.001	0.999	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.001
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.999	0.001
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.001	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.999	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.001
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	0.999	0.001
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.001	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.001	0.999	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.001	0.999	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.001	0.999	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.001	0.999	0.000
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
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.001
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.001	0.999	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	0.999	0.001
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.001	0.999	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.001
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	0.999	0.001
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.001
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.001	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.999	0.001
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.001	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	0.999	0.001
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	0.999	0.001
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.001
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.001	0.999	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	0.999	0.001
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.001	0.999	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.999	0.001
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.001	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.001
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.001	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.001	0.999	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.999	0.001
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	0.999	0.001
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.999	0.001
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.001	0.999	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.999	0.001
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.001	0.999	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.001	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
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rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	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
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	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
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4206

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4144

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0706

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9657

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9463

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9397

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9284

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9248

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9225

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9215

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9100

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8965

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8932

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8885

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8821

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8787

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8700

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8685

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8553

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8463

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8440

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8356

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8353

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8299

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8248

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8207

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8192

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8161

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8135

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8072

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8039

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8013

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8011

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7933

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7918

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7895

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7891

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7879

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7807

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7807

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7800

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7756

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7738

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7724

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7721

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7667

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7659

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7647

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7614

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7579

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7472

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7386

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.7279

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7268

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7175

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7147

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7135

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7130

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7125

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7124

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7090

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7081

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7051

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7042

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7038

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7029

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7024

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7010

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6974

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6931

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6872

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6867

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6854

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6850

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6842

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6837

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6816

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6816

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6795

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6777

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6772

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6765

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6740

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6729

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6719

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6718

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6700

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6692

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6689

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6682

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6675

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6654

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6644

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6634

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6624

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6621

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6597

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6579

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6568

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6502

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6501

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6475

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6464

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6457

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6439

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6381

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6366

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6364

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6356

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6327

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6324

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6309

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6290

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6284

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6270

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6263

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6253

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6201

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6186

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6170

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6151

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6150

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6126

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6079

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6034

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6031

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6008

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5999

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5988

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5962

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5939

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5931

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5908

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5884

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5844

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5768

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5745

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5742

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5675

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5625

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5551

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5459

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5458

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5415

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5392

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5369

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5344

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5342

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5340

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5325

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5268

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5160

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5118

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5105

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5093

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5035

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4985

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4982

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4920

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4915

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4894

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4891

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4881

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4876

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4804

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4795

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4768

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4737

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4651

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4624

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4621

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4600

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4564

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4529

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4460

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4429

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4404

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4402

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4402

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4295

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4248

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4174

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4137

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4131

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4074

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4053

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4036

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4009

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3827

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3815

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3806

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3732

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3671

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3668

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3311

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3200

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3183

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2861

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2817

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2743

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2594

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2584

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2551

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2541

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2188

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1960

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1546

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1232

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1204

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`)