TreeWAS – [E80] Disorders of porphyrin and bilirubin metabolism

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
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.879	0.121	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.824	0.176	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.766	0.234	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.763	0.237	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.750	0.250	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.744	0.256	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.738	0.262	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.725	0.275	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.722	0.278	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.714	0.286	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.708	0.291	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.706	0.293	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.705	0.295	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.705	0.295	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.690	0.310	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.683	0.317	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.662	0.338	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.661	0.338	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.650	0.350	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.649	0.351	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.623	0.377	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.601	0.399	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.587	0.413	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.575	0.424	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.573	0.427	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.548	0.452	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.533	0.467	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.520	0.480	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.501	0.498	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.501	0.499	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.497	0.503	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.483	0.516	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.471	0.529	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.465	0.535	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.401	0.599	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.395	0.605	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.389	0.611	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.384	0.616	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.351	0.649	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.349	0.651	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.346	0.654	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.343	0.657	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.331	0.669	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.297	0.703	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.293	0.707	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.273	0.727	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.251	0.749	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.245	0.755	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.225	0.775	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.221	0.779	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.188	0.812	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.185	0.815	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.176	0.824	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.161	0.839	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.158	0.842	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.151	0.849	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.138	0.861	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.128	0.872	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.121	0.879	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.111	0.889	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.101	0.899	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.100	0.900	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.092	0.907	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.091	0.909	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.084	0.916	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.083	0.917	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.072	0.928	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.071	0.928	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.070	0.930	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.066	0.934	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.058	0.942	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.058	0.942	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.053	0.947	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.046	0.954	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.040	0.960	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.039	0.961	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.034	0.966	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.033	0.966	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.034	0.966	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.033	0.967	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.033	0.967	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.032	0.968	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.030	0.970	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.029	0.970	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.971	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.024	0.976	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.016	0.984	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.015	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.985	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.014	0.986	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.011	0.989	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.009	0.990	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.009	0.991	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.008	0.992	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.008	0.992	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.008	0.992	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.007	0.992	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.007	0.993	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.006	0.994	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.996	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.004	0.996	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.003	0.996	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.997	0.003
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.003	0.997	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.003	0.997	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.002	0.997	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.002	0.997	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.002	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.998	0.002
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.998	0.002
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.002	0.998	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.002	0.998	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	0.999	0.001
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.001	0.999	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	0.999	0.001
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.001	0.999	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.001	0.999	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.999	0.001
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.001	0.999	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.001	0.999	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.001	0.999	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	0.999	0.001
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	0.999	0.001
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.999	0.001
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.001	0.999	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
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rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	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
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	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
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	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
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	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
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	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
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	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

0.0533

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9952

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9944

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.9937

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9671

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.9642

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9607

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.9520

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9388

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9388

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9334

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9320

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9207

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9143

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9058

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

0.8766

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8759

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8640

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8494

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8479

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8479

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8473

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8448

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8436

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8427

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8404

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8276

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8082

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8049

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7928

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7708

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7647

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7588

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7566

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7505

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7447

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7436

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7434

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7315

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7249

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7100

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7027

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6970

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6961

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6898

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6765

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.6746

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6716

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6679

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6676

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6675

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6611

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6602

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6565

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6540

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6465

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6443

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6407

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6268

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6216

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6195

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6190

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6130

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6082

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6067

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6047

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6028

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6024

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6012

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5930

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5922

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5911

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5851

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5827

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5789

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5779

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5752

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5733

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5683

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5659

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5569

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5528

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5463

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5429

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5420

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5405

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5402

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5402

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5390

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5374

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5327

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5323

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5286

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5259

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5258

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5242

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5241

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5226

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5224

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5195

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5144

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5126

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5082

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5065

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5025

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4985

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4974

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4972

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4946

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4934

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4871

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4861

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4817

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4808

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4794

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4782

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4775

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4759

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4736

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4726

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4710

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4682

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4576

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4553

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4552

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4514

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4491

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4446

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4438

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4383

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4340

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4339

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4334

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4319

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4311

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4311

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4292

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4271

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4269

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4250

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4241

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4225

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4224

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4223

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4194

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4183

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4181

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4177

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4177

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4176

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4162

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4119

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4080

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4063

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4008

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3990

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3862

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3833

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3633

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3525

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3455

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3445

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3392

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3257

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3129

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3120

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3115

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3108

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2955

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2902

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2851

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2776

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2743

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2685

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2462

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2409

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2397

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2388

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2336

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2157

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1964

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1945

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1863

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1749

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1740

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1691

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1580

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1409

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1380

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1355

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1270

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1214

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1198

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1181

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1061

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0960

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0914

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0911

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0899

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0778

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0661

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0649

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0640

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0566

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.

Parent term	E70-E90 Metabolic disorders
Nested terms	E80.0 Hereditary erythropoietic porphyria E80.1 Porphyria cutanea tarda E80.2 Other porphyria E80.3 Defects of catalase and peroxydase E80.4 Gilbert's syndrome E80.5 Crigler-Najjar syndrome E80.6 Other disorders of bilirubin metabolism E80.7 Disorder of bilirubin metabolism, unspecified

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`)