TreeWAS – [L40.5] Arthropathic psoriasis

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
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
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
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
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
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
rs3130953 lBF = `262.222` Chr`6` : `31,177,094`	1.000	0.000
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
rs1265112 lBF = `219.091` Chr`6` : `31,118,019`	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
rs3129907 lBF = `216.31` Chr`6` : `32,323,745`	0.000	1.000
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
rs910049 lBF = `214.799` Chr`6` : `32,315,727`	0.000	1.000
rs6904320 lBF = `212.719` Chr`6` : `32,312,082`	0.000	1.000
rs2072633 lBF = `209.288` Chr`6` : `31,919,578`	0.000	1.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	1.000	0.000
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
rs1046080 lBF = `173.349` Chr`6` : `31,595,882`	0.000	1.000
rs3115667 lBF = `170.945` Chr`6` : `31,643,399`	0.000	1.000
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
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
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	1.000	0.000
rs3130617 lBF = `167.756` Chr`6` : `31,627,523`	0.000	1.000
rs3130573 lBF = `164.344` Chr`6` : `31,106,268`	1.000	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	1.000	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	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
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
rs2524089 lBF = `153.346` Chr`6` : `31,266,522`	1.000	0.000
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
rs2524095 lBF = `148.829` Chr`6` : `31,266,117`	1.000	0.000
rs2524156 lBF = `147.433` Chr`6` : `31,260,397`	1.000	0.000
rs2853939 lBF = `146.056` Chr`6` : `31,250,642`	1.000	0.000
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
rs1265158 lBF = `143.581` Chr`6` : `31,140,741`	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
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	1.000	0.000
rs28752928 lBF = `141.938` Chr`6` : `31,304,135`	1.000	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	1.000	0.000
rs13203895 lBF = `140.775` Chr`6` : `31,244,082`	1.000	0.000
rs2894186 lBF = `140.497` Chr`6` : `31,206,868`	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	1.000	0.000
rs10484554 lBF = `140.358` Chr`6` : `31,274,555`	1.000	0.000
rs10456057 lBF = `140.044` Chr`6` : `31,245,534`	1.000	0.000
rs13191343 lBF = `139.968` Chr`6` : `31,241,109`	1.000	0.000
rs13209234 lBF = `139.732` Chr`6` : `32,415,975`	1.000	0.000
rs13203722 lBF = `138.891` Chr`6` : `31,240,771`	1.000	0.000
rs28732138 lBF = `138.758` Chr`6` : `31,316,699`	1.000	0.000
rs2071469 lBF = `138.522` Chr`6` : `32,784,783`	1.000	0.000
rs28895107 lBF = `137.456` Chr`6` : `32,419,782`	1.000	0.000
rs17209126 lBF = `137.098` Chr`6` : `32,427,946`	1.000	0.000
rs12191877 lBF = `137.074` Chr`6` : `31,252,925`	1.000	0.000
rs3177928 lBF = `136.501` Chr`6` : `32,412,435`	1.000	0.000
rs13218306 lBF = `136.283` Chr`6` : `31,240,932`	1.000	0.000
rs13218331 lBF = `136.275` Chr`6` : `32,411,362`	1.000	0.000
rs12111032 lBF = `136.008` Chr`6` : `31,242,191`	1.000	0.000
rs28895198 lBF = `135.621` Chr`6` : `32,425,044`	1.000	0.000
rs28732234 lBF = `135.521` Chr`6` : `32,427,735`	1.000	0.000
rs13207140 lBF = `135.303` Chr`6` : `32,427,604`	1.000	0.000
rs28895095 lBF = `135.019` Chr`6` : `32,418,848`	1.000	0.000
rs17192757 lBF = `133.342` Chr`6` : `31,299,466`	1.000	0.000
rs28732235 lBF = `132.318` Chr`6` : `32,427,841`	1.000	0.000
rs12207404 lBF = `131.232` Chr`6` : `31,236,201`	1.000	0.000
rs2524079 lBF = `131.024` Chr`6` : `31,242,174`	1.000	0.000
rs28732109 lBF = `129.802` Chr`6` : `31,263,297`	1.000	0.000
rs3763313 lBF = `129.358` Chr`6` : `32,376,471`	1.000	0.000
rs9468929 lBF = `129.298` Chr`6` : `31,263,216`	1.000	0.000
rs7751505 lBF = `128.813` Chr`6` : `31,360,255`	1.000	0.000
rs10947207 lBF = `128.647` Chr`6` : `31,361,485`	1.000	0.000
rs13201757 lBF = `128.561` Chr`6` : `31,087,060`	1.000	0.000
rs6931921 lBF = `128.191` Chr`6` : `31,095,003`	1.000	0.000
rs9264942 lBF = `127.948` Chr`6` : `31,274,380`	1.000	0.000
rs66862067 lBF = `127.851` Chr`6` : `31,363,606`	1.000	0.000
rs2844796 lBF = `127.837` Chr`6` : `30,072,511`	1.000	0.000
rs4711268 lBF = `127.811` Chr`6` : `31,354,504`	1.000	0.000
rs13437082 lBF = `127.747` Chr`6` : `31,354,560`	1.000	0.000
rs7751725 lBF = `127.662` Chr`6` : `31,360,433`	1.000	0.000
rs3130453 lBF = `127.369` Chr`6` : `31,124,849`	1.000	0.000
rs4711269 lBF = `127.281` Chr`6` : `31,354,819`	1.000	0.000
rs1264703 lBF = `126.619` Chr`6` : `30,065,416`	1.000	0.000
rs1264697 lBF = `126.609` Chr`6` : `30,067,568`	1.000	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	1.000	0.000
rs1264702 lBF = `125.644` Chr`6` : `30,065,575`	1.000	0.000
rs2246954 lBF = `124.205` Chr`6` : `31,265,262`	1.000	0.000
rs6913137 lBF = `123.623` Chr`6` : `31,090,078`	1.000	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	1.000	0.000
rs17196961 lBF = `123.479` Chr`6` : `31,094,803`	1.000	0.000
rs6909321 lBF = `123.148` Chr`6` : `31,093,190`	1.000	0.000
rs1264695 lBF = `122.611` Chr`6` : `30,067,892`	1.000	0.000
rs3778640 lBF = `121.58` Chr`6` : `31,094,120`	1.000	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	1.000	0.000
rs3130685 lBF = `121.177` Chr`6` : `31,206,206`	1.000	0.000
rs3134605 lBF = `121.175` Chr`6` : `32,159,956`	1.000	0.000
rs2894207 lBF = `120.755` Chr`6` : `31,263,751`	1.000	0.000
rs3132947 lBF = `120.316` Chr`6` : `32,176,782`	1.000	0.000
rs74774279 lBF = `119.956` Chr`6` : `32,783,337`	1.000	0.000
rs2856997 lBF = `119.948` Chr`6` : `32,781,776`	1.000	0.000
rs7741091 lBF = `119.854` Chr`6` : `31,352,631`	1.000	0.000
rs2621326 lBF = `119.314` Chr`6` : `32,783,896`	1.000	0.000
rs9391858 lBF = `119.065` Chr`6` : `32,341,398`	1.000	0.000
rs6923313 lBF = `118.928` Chr`6` : `31,241,370`	1.000	0.000
rs28894990 lBF = `118.562` Chr`6` : `31,264,319`	1.000	0.000
rs9380238 lBF = `117.836` Chr`6` : `31,267,618`	1.000	0.000
rs28894983 lBF = `117.737` Chr`6` : `31,263,640`	1.000	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	1.000	0.000
rs241454 lBF = `114.601` Chr`6` : `32,796,144`	1.000	0.000
rs241455 lBF = `114.549` Chr`6` : `32,796,019`	1.000	0.000
rs241456 lBF = `114.422` Chr`6` : `32,795,965`	1.000	0.000
rs2621321 lBF = `114.322` Chr`6` : `32,789,480`	1.000	0.000
rs241453 lBF = `114.037` Chr`6` : `32,796,226`	1.000	0.000
rs28732208 lBF = `113.396` Chr`6` : `32,385,119`	1.000	0.000
rs241447 lBF = `113.179` Chr`6` : `32,796,751`	1.000	0.000
rs17034 lBF = `112.984` Chr`6` : `32,796,521`	1.000	0.000
rs241449 lBF = `112.78` Chr`6` : `32,796,653`	1.000	0.000
rs1894408 lBF = `112.338` Chr`6` : `32,786,833`	1.000	0.000
rs130068 lBF = `112.221` Chr`6` : `31,116,246`	1.000	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	1.000	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	1.000	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	1.000	0.000
rs3869132 lBF = `110.641` Chr`6` : `31,410,948`	1.000	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	1.000	0.000
rs241440 lBF = `110.045` Chr`6` : `32,797,361`	1.000	0.000
rs1894407 lBF = `110.024` Chr`6` : `32,787,036`	1.000	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	1.000	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	1.000	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	1.000	0.000
Affx-28409853 lBF = `109.467` Chr`6` : `29,811,131`	1.000	0.000
rs2071474 lBF = `109.399` Chr`6` : `32,782,582`	1.000	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	1.000	0.000
rs2071470 lBF = `109.115` Chr`6` : `32,784,753`	1.000	0.000
rs241448 lBF = `108.484` Chr`6` : `32,796,685`	1.000	0.000
rs2621338 lBF = `108.448` Chr`6` : `32,776,583`	1.000	0.000
rs2857118 lBF = `107.717` Chr`6` : `32,777,900`	1.000	0.000
rs2621366 lBF = `107.166` Chr`6` : `32,768,980`	1.000	0.000
rs2621367 lBF = `107.163` Chr`6` : `32,768,721`	1.000	0.000
rs1611133 lBF = `107.143` Chr`6` : `29,809,382`	1.000	0.000
rs9501589 lBF = `107.041` Chr`6` : `31,364,383`	1.000	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	1.000	0.000
rs2621342 lBF = `106.925` Chr`6` : `32,775,004`	1.000	0.000
rs7772549 lBF = `106.766` Chr`6` : `31,407,643`	1.000	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	1.000	0.000
rs2071472 lBF = `106.363` Chr`6` : `32,784,620`	1.000	0.000
rs28732226 lBF = `105.633` Chr`6` : `32,427,311`	1.000	0.000
rs2442719 lBF = `105.072` Chr`6` : `31,320,538`	1.000	0.000
rs8283 lBF = `104.518` Chr`6` : `32,083,300`	1.000	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	1.000	0.000
rs2248372 lBF = `103.651` Chr`6` : `31,446,466`	1.000	0.000
rs3134944 lBF = `102.616` Chr`6` : `32,146,644`	1.000	0.000
rs1265095 lBF = `102.23` Chr`6` : `31,106,643`	1.000	0.000
rs28732096 lBF = `102.202` Chr`6` : `31,076,839`	1.000	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	1.000	0.000
rs28732101 lBF = `101.501` Chr`6` : `31,106,302`	1.000	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	1.000	0.000
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	1.000	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	1.000	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	1.000	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	1.000	0.000
rs2516511 lBF = `99.3774` Chr`6` : `31,448,625`	1.000	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	1.000	0.000
rs3131297 lBF = `98.8204` Chr`6` : `32,141,005`	1.000	0.000
rs2523705 lBF = `98.6424` Chr`6` : `31,451,680`	1.000	0.000
rs2248462 lBF = `98.4899` Chr`6` : `31,446,796`	1.000	0.000
rs2516422 lBF = `97.9547` Chr`6` : `31,449,269`	1.000	0.000
rs2516513 lBF = `97.6551` Chr`6` : `31,447,588`	1.000	0.000
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	1.000	0.000
rs1264323 lBF = `97.3063` Chr`6` : `30,855,907`	1.000	0.000
rs2516509 lBF = `97.2534` Chr`6` : `31,449,994`	1.000	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	1.000	0.000
rs1049623 lBF = `96.325` Chr`6` : `30,864,829`	1.000	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	1.000	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	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
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	1.000	0.000
rs2904776 lBF = `92.9221` Chr`6` : `31,449,081`	0.000	1.000
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
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
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
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	1.000	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	1.000	0.000
rs3131932 lBF = `89.1608` Chr`6` : `30,940,328`	1.000	0.000
rs10947091 lBF = `88.9982` Chr`6` : `30,747,216`	1.000	0.000
rs2621412 lBF = `88.9086` Chr`6` : `32,743,000`	1.000	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	1.000	0.000
rs4711229 lBF = `88.2579` Chr`6` : `30,756,744`	1.000	0.000
rs6920124 lBF = `88.2531` Chr`6` : `30,756,593`	1.000	0.000
rs6900029 lBF = `88.2259` Chr`6` : `30,756,596`	1.000	0.000
rs2516470 lBF = `88.1753` Chr`6` : `31,407,331`	0.000	1.000
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rs1015465 lBF = `34.1173` Chr`6` : `30,086,340`	1.000	0.000
rs11575907 lBF = `33.192` Chr`6` : `32,782,112`	1.000	0.000
rs11752362 lBF = `33.0426` Chr`6` : `30,260,982`	1.000	0.000
rs2621421 lBF = `33.0115` Chr`6` : `32,740,671`	0.000	1.000
rs2857151 lBF = `32.4317` Chr`6` : `32,763,514`	1.000	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	1.000	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	1.000	0.000
rs2857143 lBF = `30.1495` Chr`6` : `32,772,636`	0.000	1.000
rs2187686 lBF = `30.0271` Chr`6` : `32,761,507`	0.000	1.000
rs2857136 lBF = `29.8937` Chr`6` : `32,775,686`	0.000	1.000
rs2857150 lBF = `29.8887` Chr`6` : `32,763,821`	0.000	1.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	1.000	0.000
rs2621332 lBF = `29.6702` Chr`6` : `32,780,317`	0.000	1.000
rs9266258 lBF = `29.6278` Chr`6` : `31,325,912`	0.000	1.000
rs2523995 lBF = `29.623` Chr`6` : `30,102,184`	1.000	0.000
rs2621336 lBF = `29.4022` Chr`6` : `32,776,976`	0.000	1.000
rs2157079 lBF = `29.2276` Chr`6` : `32,762,103`	0.000	1.000
rs2157081 lBF = `29.1524` Chr`6` : `32,761,776`	0.000	1.000
rs2857135 lBF = `28.9629` Chr`6` : `32,775,821`	0.000	1.000
rs2857128 lBF = `28.7605` Chr`6` : `32,776,832`	0.000	1.000
rs7383433 lBF = `28.6658` Chr`6` : `32,778,531`	0.000	1.000
Affx-28452186 lBF = `28.6349` Chr`6` : `31,321,882`	0.000	1.000
rs4947324 lBF = `28.5682` Chr`6` : `31,528,130`	1.000	0.000
rs2857130 lBF = `28.506` Chr`6` : `32,776,414`	0.000	1.000
rs12530421 lBF = `28.3712` Chr`6` : `29,549,443`	1.000	0.000
rs2067577 lBF = `28.2714` Chr`6` : `32,762,484`	0.000	1.000
rs2857126 lBF = `28.2214` Chr`6` : `32,777,140`	0.000	1.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	1.000	0.000
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	1.000
rs29255 lBF = `27.5069` Chr`6` : `29,579,544`	1.000	0.000
rs2267635 lBF = `26.5692` Chr`6` : `29,592,431`	1.000	0.000
rs2857129 lBF = `26.2648` Chr`6` : `32,776,623`	0.000	1.000
rs3025646 lBF = `26.0191` Chr`6` : `29,566,842`	1.000	0.000
rs12528017 lBF = `25.769` Chr`6` : `29,544,551`	1.000	0.000
rs3025645 lBF = `25.456` Chr`6` : `29,567,621`	1.000	0.000
rs918519 lBF = `18.3381` Chr`5` : `158,826,357`	1.000	0.000
rs12188300 lBF = `9.20683` Chr`5` : `158,829,527`	1.000	0.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	1.000	0.000
rs5016066 lBF = `228.98` Chr`6` : `32,718,818`	1.000	0.000
rs28693951 lBF = `227.27` Chr`6` : `32,714,732`	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

0.9097

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 X0229

log Bayes Factor = 347.165

contains 13 variants

0.9973

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9969

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9909

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9281

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8960

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8954

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8876

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8641

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8379

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8353

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8219

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7776

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7773

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7610

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6649

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6291

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5975

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5872

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5570

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5053

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5019

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5008

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4945

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4040

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3976

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3825

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3374

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3358

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3151

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3114

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3046

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2969

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2956

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2858

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2842

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2771

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2763

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2589

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2379

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2333

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2254

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2137

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2129

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2078

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2036

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2026

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1977

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1976

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1902

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1900

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1886

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1837

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1778

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1745

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1680

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1666

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1665

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1547

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1441

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1419

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1398

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1391

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1343

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1295

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1279

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1249

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1224

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1132

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1126

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1099

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1096

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1093

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1085

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1080

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0995

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0984

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0964

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0955

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0934

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0931

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0864

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0838

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0823

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0819

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0766

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0755

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0736

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0728

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0725

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0665

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0627

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0606

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0561

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0551

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0515

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0503

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`)