TreeWAS – [B35] Dermatophytosis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

B35

Dermatophytosis

Parent term	B35-B49 Mycoses
Nested terms	B35.0 Tinea barbae and tinea capitis B35.1 Tinea unguium B35.2 Tinea manuum B35.3 Tinea pedis B35.4 Tinea corporis B35.5 Tinea imbricata B35.6 Tinea cruris B35.8 Other dermatophytoses B35.9 Dermatophytosis, unspecified

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Variant effects

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.760	0.240	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.708	0.292	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.666	0.334	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.644	0.356	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.641	0.359	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.640	0.360	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.629	0.371	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.611	0.389	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.585	0.415	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.579	0.421	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.554	0.446	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.554	0.446	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.547	0.452	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.545	0.455	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.538	0.462	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.536	0.464	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.534	0.466	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.533	0.467	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.520	0.480	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.519	0.480	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.517	0.482	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.509	0.490	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.508	0.491	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.506	0.494	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.503	0.496	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.502	0.498	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.493	0.507	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.486	0.513	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.514	0.486
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.486	0.514	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.486	0.514	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.484	0.516	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.483	0.517	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.482	0.518	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.481	0.519	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.479	0.521	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.474	0.526	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.474	0.526	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.472	0.528	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.467	0.533	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.465	0.535	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.463	0.537	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.457	0.543	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.453	0.547	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.451	0.548	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.438	0.562	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.435	0.565	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.435	0.565	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.432	0.567	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.426	0.574	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.425	0.575	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.423	0.577	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.420	0.579	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.411	0.589	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.407	0.593	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.406	0.593	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.404	0.596	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.403	0.597	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.402	0.598	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.394	0.606	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.365	0.635	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.359	0.641	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.352	0.647	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.336	0.664	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.333	0.667	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.322	0.678	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.300	0.699	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.282	0.718	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.277	0.723	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.270	0.730	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.264	0.736	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.218	0.782	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.204	0.796	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.180	0.819	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.179	0.821	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.165	0.835	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.155	0.845	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.101	0.899	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.083	0.916	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.066	0.934	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.065	0.935	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.064	0.936	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.053	0.946	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.047	0.953	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.046	0.953	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.039	0.961	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.036	0.964	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.034	0.965	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.033	0.967	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.031	0.969	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.025	0.974	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.017	0.983	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.013	0.987	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.013	0.987	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.010	0.990	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.009	0.990	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.991	0.009
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.992	0.008
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.008	0.992	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.007	0.992	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.993	0.007
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.005	0.995	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	0.996	0.004
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.997	0.003
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.003	0.997	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.003	0.997	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.997	0.003
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.997	0.003
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.003	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.997	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	0.997	0.003
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	0.998	0.002
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.998	0.002
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.998	0.002
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.998	0.002
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.998	0.002
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.002	0.998	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.998	0.002
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.002	0.998	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.002	0.998	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.998	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.002	0.998	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.998	0.002
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.998	0.002
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	0.998	0.002
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.002	0.998	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.998	0.002
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.998	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.998	0.002
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	0.999	0.001
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.001	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.001
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.001	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.001	0.999	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.001	0.999	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.001	0.999	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.999	0.001
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.001	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.001	0.999	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	0.999	0.001
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	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
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
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.001	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.001	0.999	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.001	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.999	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.001	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	0.999	0.001
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.001	0.999	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.001
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.001	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.001	0.999	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.001	0.999	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.001
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.001	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.001	0.999	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.001	0.999	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.001	0.999	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	0.999	0.001
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	0.999	0.001
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
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rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	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
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	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
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	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
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	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
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000

This table lists the top 491 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2391

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1547

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1480

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9959

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9953

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9943

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9938

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9924

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9901

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9876

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9818

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9805

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9797

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9788

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9765

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9736

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9681

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9680

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9659

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9640

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9639

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9612

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9579

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9576

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9553

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9545

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9526

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9514

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9503

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9500

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9442

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9441

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9433

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9429

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9400

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9393

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9379

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9348

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9333

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9328

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9322

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9281

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9223

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9193

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9165

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9142

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9126

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9091

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9086

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9069

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9050

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9003

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8998

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8997

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8981

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8974

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8968

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8953

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8932

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8882

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8877

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8854

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8817

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8782

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8778

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8776

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8735

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8715

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8705

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8665

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8661

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8656

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8653

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8612

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8611

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8582

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8554

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8553

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8538

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8530

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8526

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8496

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8479

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8476

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8439

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8433

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8406

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8400

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8288

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8248

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8204

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8196

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8192

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8176

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8167

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8152

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8098

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8096

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8096

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8049

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8047

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8040

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8037

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7995

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7986

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7967

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7838

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7826

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7795

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7740

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7722

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7714

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7709

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7694

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7690

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7665

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7565

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7495

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7450

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7431

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7399

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7351

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7318

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7312

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7281

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7271

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7212

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7206

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7205

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7175

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7171

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7159

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7125

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7111

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7056

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6984

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6940

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6916

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6916

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6915

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6852

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6806

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6766

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6744

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6726

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6710

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6655

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6640

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6616

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6601

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6571

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6550

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6497

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6483

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6466

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6405

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6266

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6243

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6181

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6122

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6044

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5969

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5965

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5946

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5874

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5759

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5706

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5654

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5600

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5535

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5373

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5327

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5273

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5266

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5234

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5172

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5036

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5015

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4965

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4948

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4948

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4849

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4757

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4604

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4570

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4428

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4065

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4034

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3960

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3936

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3897

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3719

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3569

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3479

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3329

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3168

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3020

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3018

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2896

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2736

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2693

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2554

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.2513

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2431

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2411

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2378

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2186

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1602

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1417

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1393

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1079

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1057

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0979

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0881

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0851

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0835

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0629

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.0614

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)