TreeWAS – [L40.9] Psoriasis, unspecified

Variant effects

Click on a variant to see its association results.

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

Results table

Variant	Risk posterior probability	Protective posterior probability
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	1.000	0.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	1.000	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	1.000	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	1.000	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	1.000	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	1.000	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	1.000	0.000
rs3130457 lBF = `312.696` Chr`6` : `31,147,194`	1.000	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	1.000	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	1.000	0.000
rs4410767 lBF = `309.439` Chr`6` : `32,448,129`	1.000	0.000
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	1.000	0.000
rs12194148 lBF = `308.912` Chr`6` : `32,444,198`	1.000	0.000
rs9378212 lBF = `308.89` Chr`6` : `32,445,691`	1.000	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	1.000	0.000
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	1.000	0.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	1.000	0.000
rs9271348 lBF = `305.289` Chr`6` : `32,583,742`	0.000	1.000
rs1150765 lBF = `304.593` Chr`6` : `31,127,562`	1.000	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	1.000	0.000
rs3130424 lBF = `298.79` Chr`6` : `31,218,239`	1.000	0.000
rs2394894 lBF = `298.135` Chr`6` : `31,206,920`	1.000	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	1.000	0.000
rs2394895 lBF = `297.618` Chr`6` : `31,206,979`	1.000	0.000
rs3132505 lBF = `293.157` Chr`6` : `31,177,503`	1.000	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	1.000	0.000
rs3132506 lBF = `290.614` Chr`6` : `31,176,226`	1.000	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	1.000	0.000
rs2853953 lBF = `290.388` Chr`6` : `31,235,505`	1.000	0.000
rs9271588 lBF = `289.695` Chr`6` : `32,590,953`	0.000	1.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	1.000	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	1.000	0.000
rs3130944 lBF = `278.865` Chr`6` : `31,196,671`	1.000	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	1.000	0.000
rs3130473 lBF = `274.782` Chr`6` : `31,199,208`	1.000	0.000
rs3130713 lBF = `274.609` Chr`6` : `31,205,617`	1.000	0.000
rs1383264 lBF = `264.795` Chr`6` : `32,739,967`	0.000	1.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	1.000	0.000
rs3763327 lBF = `262.587` Chr`6` : `32,413,830`	0.000	1.000
rs7192 lBF = `262.343` Chr`6` : `32,411,646`	0.000	1.000
rs3130953 lBF = `262.222` Chr`6` : `31,177,094`	1.000	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.000	1.000
rs3130467 lBF = `258.483` Chr`6` : `31,187,075`	1.000	0.000
rs3130517 lBF = `257.807` Chr`6` : `31,190,303`	1.000	0.000
rs7759742 lBF = `255.818` Chr`6` : `32,381,736`	1.000	0.000
rs28724008 lBF = `253.172` Chr`6` : `32,550,550`	1.000	0.000
Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	1.000	0.000
rs3208409 lBF = `252.426` Chr`6` : `32,546,696`	1.000	0.000
rs28366302 lBF = `252.399` Chr`6` : `32,560,934`	1.000	0.000
rs2524054 lBF = `252.073` Chr`6` : `31,252,396`	1.000	0.000
rs3134745 lBF = `252.025` Chr`6` : `31,242,762`	0.000	1.000
rs644045 lBF = `251.092` Chr`6` : `31,883,957`	0.000	1.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	1.000	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	1.000	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	0.000	1.000
rs9268969 lBF = `249.147` Chr`6` : `32,434,349`	1.000	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	1.000	0.000
rs9268853 lBF = `248.885` Chr`6` : `32,429,643`	1.000	0.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	1.000	0.000
rs9268905 lBF = `248.25` Chr`6` : `32,432,077`	1.000	0.000
rs6926737 lBF = `247.282` Chr`6` : `32,375,745`	0.000	1.000
rs34839759 lBF = `247.024` Chr`6` : `32,546,557`	1.000	0.000
rs5007259 lBF = `246.316` Chr`6` : `32,379,101`	0.000	1.000
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	1.000	0.000
rs9268507 lBF = `245.958` Chr`6` : `32,377,539`	0.000	1.000
rs5007263 lBF = `245.895` Chr`6` : `32,378,982`	0.000	1.000
rs5007265 lBF = `245.726` Chr`6` : `32,378,866`	0.000	1.000
rs5007258 lBF = `245.663` Chr`6` : `32,379,239`	0.000	1.000
rs9268633 lBF = `244.242` Chr`6` : `32,406,473`	1.000	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.000	1.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	1.000	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.000	1.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	1.000	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	1.000	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	0.000	1.000
rs9469220 lBF = `239.257` Chr`6` : `32,658,310`	1.000	0.000
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	0.000	1.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.000	1.000
rs9268402 lBF = `236.258` Chr`6` : `32,341,353`	0.000	1.000
rs2524074 lBF = `235.669` Chr`6` : `31,244,021`	0.000	1.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.000	1.000
rs440454 lBF = `233.155` Chr`6` : `31,927,342`	0.000	1.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	1.000	0.000
rs5016066 lBF = `228.98` Chr`6` : `32,718,818`	1.000	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	1.000	0.000
rs3130977 lBF = `228.553` Chr`6` : `31,081,989`	0.000	1.000
rs3130552 lBF = `228.001` Chr`6` : `31,082,127`	0.000	1.000
rs28693951 lBF = `227.27` Chr`6` : `32,714,732`	1.000	0.000
rs10807113 lBF = `226.27` Chr`6` : `32,722,186`	1.000	0.000
rs7756516 lBF = `225.809` Chr`6` : `32,723,917`	1.000	0.000
rs204999 lBF = `225.279` Chr`6` : `32,109,979`	1.000	0.000
rs6918223 lBF = `224.875` Chr`6` : `32,722,532`	1.000	0.000
rs7770024 lBF = `224.328` Chr`6` : `32,723,341`	1.000	0.000
rs7769979 lBF = `224.17` Chr`6` : `32,723,572`	1.000	0.000
rs11758312 lBF = `223.434` Chr`6` : `32,716,372`	1.000	0.000
rs477515 lBF = `222.226` Chr`6` : `32,569,691`	1.000	0.000
rs2251396 lBF = `222.188` Chr`6` : `31,364,707`	0.000	1.000
rs915894 lBF = `219.818` Chr`6` : `32,190,390`	1.000	0.000
rs1265112 lBF = `219.091` Chr`6` : `31,118,019`	1.000	0.000
rs12195582 lBF = `218.62` Chr`6` : `32,444,544`	1.000	0.000
rs1003879 lBF = `218.353` Chr`6` : `32,299,592`	1.000	0.000
rs746647 lBF = `217.115` Chr`6` : `31,114,182`	1.000	0.000
rs1265114 lBF = `217.1` Chr`6` : `31,117,188`	1.000	0.000
rs1265078 lBF = `216.001` Chr`6` : `31,112,602`	1.000	0.000
rs1576 lBF = `215.338` Chr`6` : `31,110,391`	1.000	0.000
rs3130474 lBF = `215.089` Chr`6` : `31,199,256`	1.000	0.000
rs3129923 lBF = `214.888` Chr`6` : `32,333,195`	0.000	1.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	1.000	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.000	1.000
rs1265762 lBF = `210.925` Chr`6` : `32,321,115`	0.000	1.000
rs2072633 lBF = `209.288` Chr`6` : `31,919,578`	0.000	1.000
rs3130975 lBF = `209.002` Chr`6` : `31,081,838`	0.000	1.000
rs915895 lBF = `208.157` Chr`6` : `32,190,217`	1.000	0.000
rs2523454 lBF = `206.037` Chr`6` : `31,367,865`	0.000	1.000
rs9264643 lBF = `205.849` Chr`6` : `31,238,492`	0.000	1.000
rs443198 lBF = `204.432` Chr`6` : `32,190,406`	1.000	0.000
rs2844569 lBF = `203.491` Chr`6` : `31,336,604`	0.000	1.000
rs2273017 lBF = `201.258` Chr`6` : `32,337,630`	0.000	1.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	1.000	0.000
rs1130838 lBF = `200.175` Chr`6` : `31,237,124`	0.000	1.000
rs1049281 lBF = `198.992` Chr`6` : `31,236,567`	0.000	1.000
rs3129908 lBF = `198.273` Chr`6` : `32,325,707`	0.000	1.000
rs4279480 lBF = `196.624` Chr`6` : `32,290,927`	0.000	1.000
rs2517544 lBF = `195.736` Chr`6` : `31,009,508`	0.000	1.000
rs2395150 lBF = `194.768` Chr`6` : `32,326,045`	0.000	1.000
rs1265758 lBF = `194.604` Chr`6` : `32,323,529`	0.000	1.000
rs926070 lBF = `194.58` Chr`6` : `32,257,566`	0.000	1.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.000	1.000
rs592229 lBF = `193.963` Chr`6` : `31,930,441`	1.000	0.000
rs2523451 lBF = `189.434` Chr`6` : `31,369,151`	0.000	1.000
rs4348357 lBF = `187.91` Chr`6` : `32,291,359`	0.000	1.000
rs2442744 lBF = `181.524` Chr`6` : `31,345,376`	0.000	1.000
rs2507984 lBF = `181.254` Chr`6` : `31,345,596`	0.000	1.000
rs2442752 lBF = `180.363` Chr`6` : `31,351,764`	0.000	1.000
rs2844545 lBF = `180.307` Chr`6` : `31,345,229`	0.000	1.000
rs2844580 lBF = `180.244` Chr`6` : `31,333,303`	0.000	1.000
rs3130955 lBF = `179.933` Chr`6` : `31,054,511`	1.000	0.000
rs28747013 lBF = `178.268` Chr`6` : `32,654,596`	1.000	0.000
rs28746924 lBF = `177.331` Chr`6` : `32,649,854`	1.000	0.000
rs17212420 lBF = `177.301` Chr`6` : `32,652,400`	1.000	0.000
rs17212336 lBF = `177.057` Chr`6` : `32,652,026`	1.000	0.000
rs9405042 lBF = `176.88` Chr`6` : `32,657,020`	1.000	0.000
rs17205775 lBF = `176.513` Chr`6` : `32,651,047`	1.000	0.000
rs28746954 lBF = `175.969` Chr`6` : `32,652,826`	1.000	0.000
rs28366353 lBF = `175.657` Chr`6` : `32,565,004`	1.000	0.000
rs28747056 lBF = `175.191` Chr`6` : `32,656,544`	1.000	0.000
rs9357152 lBF = `175.134` Chr`6` : `32,664,960`	1.000	0.000
rs5000632 lBF = `174.537` Chr`6` : `32,663,688`	1.000	0.000
rs2517529 lBF = `174.132` Chr`6` : `31,076,978`	0.000	1.000
rs28570051 lBF = `173.657` Chr`6` : `31,210,601`	1.000	0.000
rs3095245 lBF = `173.422` Chr`6` : `31,213,902`	1.000	0.000
rs1046080 lBF = `173.349` Chr`6` : `31,595,882`	0.000	1.000
rs28746990 lBF = `173.283` Chr`6` : `32,653,903`	1.000	0.000
rs9469219 lBF = `173.276` Chr`6` : `32,658,211`	1.000	0.000
rs3115667 lBF = `170.945` Chr`6` : `31,643,399`	0.000	1.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	1.000	0.000
rs2272593 lBF = `170.088` Chr`6` : `31,601,344`	0.000	1.000
rs356971 lBF = `170.044` Chr`6` : `29,979,797`	1.000	0.000
rs2508015 lBF = `169.83` Chr`6` : `31,010,200`	0.000	1.000
rs3134797 lBF = `169.683` Chr`6` : `32,186,050`	1.000	0.000
rs13199787 lBF = `169.643` Chr`6` : `32,705,276`	1.000	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	1.000	0.000
rs1475865 lBF = `169.543` Chr`6` : `31,657,413`	0.000	1.000
rs2857597 lBF = `169.25` Chr`6` : `31,585,000`	0.000	1.000
rs3129012 lBF = `168.733` Chr`6` : `29,988,642`	1.000	0.000
rs6901084 lBF = `168.591` Chr`6` : `32,736,936`	1.000	0.000
rs394657 lBF = `168.457` Chr`6` : `32,187,023`	1.000	0.000
Affx-28504060 lBF = `168.375` Chr`6` : `32,706,974`	1.000	0.000
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	1.000	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	1.000	0.000
rs3130617 lBF = `167.756` Chr`6` : `31,627,523`	0.000	1.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	1.000	0.000
rs9296043 lBF = `167.145` Chr`6` : `32,736,103`	1.000	0.000
rs9461799 lBF = `166.728` Chr`6` : `32,689,529`	1.000	0.000
rs12177980 lBF = `166.58` Chr`6` : `32,686,084`	1.000	0.000
rs9469232 lBF = `166.548` Chr`6` : `32,688,313`	1.000	0.000
rs6457661 lBF = `164.945` Chr`6` : `32,737,494`	1.000	0.000
rs6457658 lBF = `164.822` Chr`6` : `32,737,149`	1.000	0.000
rs6457644 lBF = `164.484` Chr`6` : `32,706,128`	1.000	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	1.000	0.000
rs3130573 lBF = `164.344` Chr`6` : `31,106,268`	1.000	0.000
rs2859100 lBF = `163.569` Chr`6` : `32,699,479`	1.000	0.000
rs2858892 lBF = `162.54` Chr`6` : `32,693,242`	1.000	0.000
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	1.000	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	1.000	0.000
rs1585891 lBF = `160.611` Chr`6` : `32,736,722`	1.000	0.000
rs2844619 lBF = `160.352` Chr`6` : `31,242,223`	0.000	1.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	1.000	0.000
rs1015575 lBF = `159.837` Chr`6` : `32,738,115`	1.000	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	1.000	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	1.000	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	1.000	0.000
rs185819 lBF = `157.815` Chr`6` : `32,050,067`	1.000	0.000
rs6936428 lBF = `157.66` Chr`6` : `32,739,174`	1.000	0.000
rs2853933 lBF = `156.443` Chr`6` : `31,254,088`	1.000	0.000
rs2524066 lBF = `155.995` Chr`6` : `31,269,154`	1.000	0.000
rs2524163 lBF = `155.398` Chr`6` : `31,259,579`	1.000	0.000
rs2853935 lBF = `155.153` Chr`6` : `31,253,878`	1.000	0.000
rs2243868 lBF = `154.689` Chr`6` : `31,261,276`	1.000	0.000
rs9263980 lBF = `154.685` Chr`6` : `31,188,397`	1.000	0.000
rs9263927 lBF = `154.559` Chr`6` : `31,178,233`	1.000	0.000
rs2524089 lBF = `153.346` Chr`6` : `31,266,522`	1.000	0.000
rs429853 lBF = `153.055` Chr`6` : `32,187,202`	1.000	0.000
rs2857697 lBF = `151.904` Chr`6` : `31,585,219`	1.000	0.000
rs2736172 lBF = `151.609` Chr`6` : `31,590,898`	1.000	0.000
rs3869109 lBF = `151.496` Chr`6` : `31,184,196`	0.000	1.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	1.000	0.000
rs2858331 lBF = `151.08` Chr`6` : `32,681,277`	1.000	0.000
rs2857693 lBF = `151.044` Chr`6` : `31,588,384`	1.000	0.000
rs130066 lBF = `150.851` Chr`6` : `31,122,315`	1.000	0.000
rs2260050 lBF = `150.815` Chr`6` : `31,591,928`	1.000	0.000
rs2844472 lBF = `150.594` Chr`6` : `31,589,676`	1.000	0.000
rs2260000 lBF = `150.509` Chr`6` : `31,593,476`	1.000	0.000
rs2736171 lBF = `150.484` Chr`6` : `31,595,487`	1.000	0.000
rs2524095 lBF = `148.829` Chr`6` : `31,266,117`	1.000	0.000
rs2844477 lBF = `148.616` Chr`6` : `31,578,772`	1.000	0.000
rs9368737 lBF = `148.543` Chr`6` : `32,658,429`	1.000	0.000
rs6905862 lBF = `147.437` Chr`6` : `31,127,602`	1.000	0.000
rs2524156 lBF = `147.433` Chr`6` : `31,260,397`	1.000	0.000
rs885950 lBF = `147.281` Chr`6` : `31,140,152`	1.000	0.000
rs429150 lBF = `147.155` Chr`6` : `32,075,563`	1.000	0.000
rs2647050 lBF = `146.729` Chr`6` : `32,669,767`	1.000	0.000
rs2853939 lBF = `146.056` Chr`6` : `31,250,642`	1.000	0.000
rs16898264 lBF = `146.028` Chr`6` : `32,677,152`	1.000	0.000
rs2856718 lBF = `145.895` Chr`6` : `32,670,255`	1.000	0.000
rs887464 lBF = `145.378` Chr`6` : `31,145,920`	0.000	1.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	1.000	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	1.000	0.000
rs2156875 lBF = `144.18` Chr`6` : `31,317,347`	1.000	0.000
rs28752896 lBF = `143.689` Chr`6` : `31,303,428`	1.000	0.000
rs2071277 lBF = `143.623` Chr`6` : `32,171,683`	1.000	0.000
rs1265158 lBF = `143.581` Chr`6` : `31,140,741`	1.000	0.000
rs2071287 lBF = `143.245` Chr`6` : `32,170,433`	1.000	0.000
rs28752923 lBF = `143.137` Chr`6` : `31,303,879`	1.000	0.000
rs12665338 lBF = `143.081` Chr`6` : `31,307,222`	1.000	0.000
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rs2516509 lBF = `97.2534` Chr`6` : `31,449,994`	1.000	0.000
rs28383254 lBF = `97.2454` Chr`6` : `32,585,638`	1.000	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	1.000	0.000
rs2647073 lBF = `96.5928` Chr`6` : `32,574,014`	1.000	0.000
rs1049623 lBF = `96.325` Chr`6` : `30,864,829`	1.000	0.000
rs3094691 lBF = `96.3133` Chr`6` : `31,274,693`	0.000	1.000
rs1611350 lBF = `95.927` Chr`6` : `29,698,821`	1.000	0.000
rs28383271 lBF = `95.9012` Chr`6` : `32,586,134`	1.000	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	1.000	0.000
rs3131933 lBF = `95.4854` Chr`6` : `30,933,864`	1.000	0.000
rs3094188 lBF = `95.2558` Chr`6` : `31,142,245`	0.000	1.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	1.000	0.000
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	1.000	0.000
rs28732082 lBF = `94.8426` Chr`6` : `31,004,521`	1.000	0.000
rs9265604 lBF = `94.7943` Chr`6` : `31,299,450`	0.000	1.000
rs2523651 lBF = `93.9947` Chr`6` : `31,448,154`	0.000	1.000
rs3131012 lBF = `93.7678` Chr`6` : `31,115,441`	0.000	1.000
rs2240064 lBF = `93.3046` Chr`6` : `31,114,573`	0.000	1.000
rs2523898 lBF = `93.145` Chr`6` : `30,993,533`	0.000	1.000
rs2904776 lBF = `92.9221` Chr`6` : `31,449,081`	0.000	1.000
rs28366266 lBF = `92.0158` Chr`6` : `32,559,753`	1.000	0.000
rs28894977 lBF = `91.6864` Chr`6` : `31,003,701`	1.000	0.000
rs4540292 lBF = `91.4493` Chr`6` : `31,317,182`	0.000	1.000
Affx-28458373 lBF = `91.1887` Chr`6` : `31,480,874`	1.000	0.000
rs28380862 lBF = `91.0388` Chr`6` : `31,311,795`	1.000	0.000
rs13203429 lBF = `91.0345` Chr`6` : `32,744,852`	1.000	0.000
rs3104404 lBF = `90.8672` Chr`6` : `32,682,174`	1.000	0.000
rs2534674 lBF = `90.8041` Chr`6` : `31,465,103`	1.000	0.000
rs3887152 lBF = `90.6599` Chr`6` : `31,176,335`	0.000	1.000
rs2071473 lBF = `90.429` Chr`6` : `32,782,605`	1.000	0.000
rs2857209 lBF = `90.3558` Chr`6` : `32,741,918`	1.000	0.000
rs10947095 lBF = `89.9123` Chr`6` : `30,757,575`	1.000	0.000
rs2857204 lBF = `89.8942` Chr`6` : `32,744,347`	1.000	0.000

This table lists the top 500 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

0.7284

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.2175

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

1.0000

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9930

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9857

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9846

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9685

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9567

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9350

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8628

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8279

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8209

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8163

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8006

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7698

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7421

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6637

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6424

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6149

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5806

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5335

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5213

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5144

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4674

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4469

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4319

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4137

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3968

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3804

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3775

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3487

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3287

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3246

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2712

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2674

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2320

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2230

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2201

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2071

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1961

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1958

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1917

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1628

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1406

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1360

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1353

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1349

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1245

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1224

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1111

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1084

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1064

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0986

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0978

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0867

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0829

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0610

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0571

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0568

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0542

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)