TreeWAS – [L59] Other disorders of skin and subcutaneous tissue related to radiation

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

L59

Other disorders of skin and subcutaneous tissue related to radiation

Parent term	L55-L59 Radiation-related disorders of the skin and subcutaneous tissue
Nested terms	L59.0 Erythema ab igne [dermatitis ab igne] L59.8 Other specified disorders of skin and subcutaneous tissue related to radiation L59.9 Disorder of skin and subcutaneous tissue related to radiation, 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
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.669	0.331	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.666	0.334	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.646	0.354	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.642	0.358	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.602	0.398	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.546	0.453	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.532	0.468	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.531	0.469	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.511	0.489	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.509	0.491	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.507	0.493	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.501	0.499	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.500	0.499	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.493	0.507	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.485	0.515	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.482	0.518	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.468	0.532	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.467	0.533	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.464	0.535	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.464	0.536	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.456	0.544	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.454	0.545	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.453	0.547	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.446	0.554	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.443	0.556	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.440	0.560	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.439	0.560	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.432	0.568	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.424	0.576	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.420	0.580	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.419	0.581	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.406	0.594	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.403	0.597	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.392	0.607	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.390	0.609	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.376	0.624	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.374	0.626	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.352	0.648	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.342	0.658	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.340	0.660	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.337	0.662	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.337	0.663	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.312	0.688	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.310	0.690	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.308	0.692	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.305	0.695	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.296	0.703	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.295	0.705	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.278	0.722	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.270	0.729	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.270	0.729	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.264	0.734	0.002
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.244	0.756	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.223	0.777	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.214	0.786	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.213	0.787	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.213	0.787	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.202	0.798	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.198	0.801	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.187	0.813	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.184	0.815	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.174	0.826	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.161	0.839	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.147	0.853	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.143	0.857	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.114	0.886	0.001
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.112	0.887	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.112	0.888	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.106	0.894	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.099	0.901	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.093	0.907	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.093	0.907	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.093	0.907	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.087	0.913	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.079	0.920	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.075	0.925	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.074	0.925	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.069	0.931	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.059	0.940	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.056	0.943	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.047	0.953	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.038	0.962	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.035	0.965	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.034	0.966	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.017	0.983	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.016	0.984	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.015	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.013	0.986	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.010	0.990	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.008	0.992	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.006	0.993	0.001
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.005	0.995	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.004	0.996	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.996	0.004
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.004	0.996	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.002	0.998	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.998	0.002
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.999	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.001	0.999	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	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
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	0.999	0.001
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.001	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.001	0.999	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	0.999	0.001
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.001	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	0.999	0.001
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.001	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.001	0.999	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.001	0.999	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.999	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.999	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	0.999	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.999	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.999	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	0.999	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.999	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	0.999	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	0.999	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
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rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	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
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	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
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	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
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
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	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
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	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
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	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
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	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
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3618

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2439

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0671

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7738

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.7545

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7493

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7188

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7151

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7081

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7077

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6977

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6896

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6753

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6727

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6625

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6603

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6558

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6541

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6504

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6499

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6410

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6335

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6284

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6229

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6178

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6159

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6120

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6105

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6067

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6002

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5995

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5971

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5931

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.5925

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5892

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5885

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5828

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5787

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5783

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5753

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5733

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5716

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5688

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5666

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5627

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5612

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5602

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5585

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5585

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5574

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5513

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5481

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5448

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5433

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5425

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5408

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5390

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5361

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5357

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5345

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5335

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5308

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5297

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5163

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5154

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5132

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5089

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5055

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5048

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5024

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5016

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5010

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5007

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5005

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4999

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4996

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4995

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4939

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4841

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4811

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4800

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4796

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4771

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4763

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4762

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4758

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4755

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4717

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4712

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4711

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4709

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4661

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4656

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4641

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4623

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4597

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4593

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4573

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4562

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4558

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4536

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4529

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4525

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4476

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4452

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4444

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4443

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4406

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4391

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4358

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4349

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4345

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4336

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4318

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4249

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4229

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4227

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4225

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4222

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4213

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4189

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4174

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4173

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4170

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4158

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4156

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4146

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4116

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4097

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4085

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4084

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4076

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4071

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4064

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4040

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4039

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4023

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4016

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4006

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4001

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3984

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3973

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3971

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3968

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3952

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3950

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3941

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3911

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3911

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3899

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3893

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3879

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3873

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3863

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3853

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3850

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3827

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3820

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3801

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3783

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3772

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3754

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3743

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3719

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3706

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3704

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3703

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3690

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3690

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3673

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3654

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.3624

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3600

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3592

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3590

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3588

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3572

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3561

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3541

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3541

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3508

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3464

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3463

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3389

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3380

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3270

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3245

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3074

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3067

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2866

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2806

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2407

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2394

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2277

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1801

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1768

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1612

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1581

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1565

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1521

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1502

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1497

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1124

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1123

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0947

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0898

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0881

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0874

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0805

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0783

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0771

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0717

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0705

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`)