TreeWAS – [K75.2] Nonspecific reactive hepatitis

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
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.717	0.283	0.000
rs3130944 lBF = `278.865` Chr`6` : `31,196,671`	0.717	0.283	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	0.717	0.283	0.000
rs3130473 lBF = `274.782` Chr`6` : `31,199,208`	0.717	0.283	0.000
rs3130713 lBF = `274.609` Chr`6` : `31,205,617`	0.717	0.283	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.717	0.283	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.717	0.283	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.717	0.283	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.717	0.283	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.717	0.283	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.717	0.283	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.717	0.283	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.717	0.283	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.717	0.283	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.717	0.283	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.717	0.283	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.717	0.283	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.717	0.283	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.717	0.283	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.717	0.283	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.717	0.283	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.717	0.283	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.717	0.283	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.717	0.283	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.717	0.283	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.717	0.283	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.717	0.283	0.000
rs2394895 lBF = `297.618` Chr`6` : `31,206,979`	0.717	0.283	0.000
rs3132506 lBF = `290.614` Chr`6` : `31,176,226`	0.717	0.283	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	0.717	0.283	0.000
rs3130953 lBF = `262.222` Chr`6` : `31,177,094`	0.717	0.283	0.000
rs3130467 lBF = `258.483` Chr`6` : `31,187,075`	0.717	0.283	0.000
rs9380069 lBF = `143.573` Chr`6` : `28,203,300`	0.717	0.283	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.717	0.283	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.717	0.283	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.717	0.283	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.717	0.283	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.717	0.283	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.717	0.283	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.717	0.283	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.717	0.283	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.717	0.283	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.717	0.283	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.717	0.283	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.717	0.283	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.717	0.283	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.717	0.283	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.717	0.283	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.717	0.283	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.717	0.283	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.717	0.283	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.717	0.283	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.717	0.283	0.000
rs3130424 lBF = `298.79` Chr`6` : `31,218,239`	0.717	0.283	0.000
rs2394894 lBF = `298.135` Chr`6` : `31,206,920`	0.717	0.283	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	0.717	0.283	0.000
rs3132505 lBF = `293.157` Chr`6` : `31,177,503`	0.717	0.283	0.000
rs3130517 lBF = `257.807` Chr`6` : `31,190,303`	0.717	0.283	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.717	0.283	0.000
rs853679 lBF = `135.932` Chr`6` : `28,296,863`	0.717	0.283	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.717	0.283	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.717	0.283	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.717	0.283	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.717	0.283	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.717	0.283	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.717	0.283	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.717	0.283	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.717	0.283	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.717	0.283	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.717	0.283	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.717	0.283	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.717	0.283	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.717	0.283	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.717	0.283	0.000
rs9468287 lBF = `141.792` Chr`6` : `28,079,741`	0.717	0.283	0.000
rs4713139 lBF = `135.651` Chr`6` : `28,092,685`	0.717	0.283	0.000
rs853678 lBF = `135.476` Chr`6` : `28,297,313`	0.717	0.283	0.000
rs853676 lBF = `134.782` Chr`6` : `28,299,687`	0.717	0.283	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.717	0.283	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.717	0.283	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.717	0.283	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.717	0.283	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.717	0.283	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.717	0.283	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.717	0.283	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.717	0.283	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.717	0.283	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.717	0.283	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.717	0.283	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.717	0.283	0.000
rs9380064 lBF = `135.621` Chr`6` : `28,143,118`	0.717	0.283	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.717	0.283	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.717	0.283	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.717	0.283	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.717	0.283	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.717	0.283	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.717	0.283	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.717	0.283	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.717	0.283	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.717	0.283	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.717	0.283	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.717	0.283	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.717	0.283	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.717	0.283	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.717	0.283	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.717	0.283	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.717	0.283	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.717	0.283	0.000
rs2853953 lBF = `290.388` Chr`6` : `31,235,505`	0.717	0.283	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.717	0.283	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.717	0.283	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.717	0.283	0.000
rs6901575 lBF = `135.155` Chr`6` : `28,250,984`	0.717	0.283	0.000
rs2799077 lBF = `126.2` Chr`6` : `28,234,597`	0.717	0.283	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.717	0.283	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.717	0.283	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.717	0.283	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.717	0.283	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.717	0.283	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.717	0.283	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.717	0.283	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.717	0.283	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.717	0.283	0.000
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.717	0.283	0.000
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.717	0.283	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.717	0.283	0.000
rs1679709 lBF = `134.539` Chr`6` : `28,228,342`	0.717	0.283	0.000
rs4713140 lBF = `132.851` Chr`6` : `28,097,193`	0.717	0.283	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.717	0.283	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.717	0.283	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.717	0.283	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.717	0.283	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.717	0.283	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.717	0.283	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	0.717	0.283	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.717	0.283	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.717	0.283	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.717	0.283	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.717	0.283	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.717	0.283	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.717	0.283	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.717	0.283	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.717	0.283	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.717	0.283	0.000
rs3130457 lBF = `312.696` Chr`6` : `31,147,194`	0.717	0.283	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.717	0.283	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.717	0.283	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.717	0.283	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.717	0.283	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.717	0.283	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.717	0.283	0.000
rs3130474 lBF = `215.089` Chr`6` : `31,199,256`	0.717	0.283	0.000
rs2799079 lBF = `132.81` Chr`6` : `28,235,176`	0.717	0.283	0.000
rs3757188 lBF = `131.721` Chr`6` : `28,107,357`	0.717	0.283	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.717	0.283	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.717	0.283	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.717	0.283	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.717	0.283	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.717	0.283	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.717	0.283	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.717	0.283	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.717	0.283	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.717	0.283	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.717	0.283	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.717	0.283	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.717	0.283	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.717	0.283	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.717	0.283	0.000
rs11965538 lBF = `133.231` Chr`6` : `28,239,915`	0.717	0.283	0.000
rs1778508 lBF = `132.175` Chr`6` : `28,229,881`	0.717	0.283	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.717	0.283	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.717	0.283	0.000
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	0.717	0.283	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	0.717	0.283	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.717	0.283	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.717	0.283	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.283	0.717
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.717	0.283	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.717	0.283	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.717	0.283	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.717	0.283	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.717	0.283	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.717	0.283	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.717	0.283	0.000
rs68141011 lBF = `134.426` Chr`6` : `28,217,797`	0.717	0.283	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.717	0.283	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.717	0.283	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.717	0.283	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.717	0.283	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.717	0.283	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.717	0.283	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.717	0.283	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.717	0.283	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	0.283	0.717
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.717	0.283	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.717	0.283	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	0.717	0.283	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.717	0.283	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.717	0.283	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.717	0.283	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.283	0.717
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.717	0.283	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.717	0.283	0.000
rs1150765 lBF = `304.593` Chr`6` : `31,127,562`	0.717	0.283	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.717	0.283	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.717	0.283	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.717	0.283	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.717	0.283	0.000
rs10456362 lBF = `134.285` Chr`6` : `28,221,816`	0.717	0.283	0.000
rs9263708 lBF = `251.317` Chr`6` : `31,095,270`	0.717	0.283	0.000
rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	0.717	0.283	0.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.283	0.717
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rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.717	0.283	0.000
rs1419183 lBF = `130.076` Chr`6` : `28,242,794`	0.717	0.283	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.283	0.717
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.717	0.283	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.717	0.283	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.717	0.283	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.717	0.283	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.717	0.283	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.717	0.283	0.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.283	0.717
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.283	0.717
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.717	0.283	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.717	0.283	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.717	0.283	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.717	0.283	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.717	0.283	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.717	0.283	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.717	0.283	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	0.717	0.283	0.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	0.283	0.716
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.716	0.283	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.716	0.283	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.716	0.283	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.716	0.283	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.716	0.283	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.716	0.283	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.716	0.283	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	0.716	0.283	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.716	0.283	0.000
rs3132550 lBF = `240.835` Chr`6` : `31,086,048`	0.716	0.283	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.716	0.283	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.716	0.283	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.283	0.716
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.716	0.283	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.716	0.283	0.000
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rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.716	0.283	0.000
rs735765 lBF = `131.032` Chr`6` : `28,170,297`	0.716	0.283	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.716	0.283	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.716	0.284	0.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	0.716	0.284	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.716	0.284	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.716	0.284	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.716	0.284	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	0.716	0.284	0.000
rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.716	0.284	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.716	0.284	0.000
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rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.716	0.284	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.716	0.284	0.000
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rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.716	0.284	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.716	0.284	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.716	0.284	0.000
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rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.716	0.284	0.000
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	0.284	0.716
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.716	0.284	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.716	0.284	0.000
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rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.716	0.284	0.000
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rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.716	0.284	0.000
rs3131297 lBF = `98.8204` Chr`6` : `32,141,005`	0.716	0.284	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.716	0.284	0.000
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rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.716	0.284	0.000
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rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.716	0.284	0.000
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rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.716	0.284	0.000
rs3134605 lBF = `121.175` Chr`6` : `32,159,956`	0.716	0.284	0.000
rs3095298 lBF = `239.113` Chr`6` : `31,082,932`	0.716	0.284	0.000
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rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.716	0.284	0.000
rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.716	0.284	0.000
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rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.716	0.284	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.716	0.284	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.716	0.284	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.716	0.284	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.716	0.284	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.716	0.284	0.000
Affx-52368556 lBF = `236.51` Chr`6` : `31,084,935`	0.716	0.284	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.716	0.284	0.000
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	0.716	0.284	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.716	0.284	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.716	0.284	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.716	0.284	0.000
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.716	0.284	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.716	0.284	0.000
rs3131036 lBF = `180.885` Chr`6` : `30,728,290`	0.716	0.284	0.000
rs9263927 lBF = `154.559` Chr`6` : `31,178,233`	0.716	0.284	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.716	0.284	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.716	0.284	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	0.716	0.284	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.716	0.284	0.000
rs9263980 lBF = `154.685` Chr`6` : `31,188,397`	0.716	0.284	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.716	0.284	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.716	0.284	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.716	0.284	0.000
rs3132947 lBF = `120.316` Chr`6` : `32,176,782`	0.715	0.284	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.715	0.284	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.715	0.284	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.715	0.284	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.715	0.285	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.715	0.285	0.000
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rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.715	0.285	0.000
rs1233396 lBF = `230.713` Chr`6` : `29,546,799`	0.715	0.285	0.000
rs6834314 lBF = `3.11599` Chr`4` : `88,213,808`	0.000	0.285	0.715
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rs13218875 lBF = `190.478` Chr`6` : `27,884,012`	0.715	0.285	0.000
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rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.715	0.285	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.715	0.285	0.000
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rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.715	0.285	0.000
rs746647 lBF = `217.115` Chr`6` : `31,114,182`	0.715	0.285	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.715	0.285	0.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	0.000	0.285	0.715
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rs1265078 lBF = `216.001` Chr`6` : `31,112,602`	0.715	0.285	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.715	0.285	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.715	0.285	0.000
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rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.715	0.285	0.000
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rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.715	0.285	0.000
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rs9295768 lBF = `115.003` Chr`6` : `28,209,102`	0.711	0.288	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.711	0.288	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.711	0.289	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.711	0.289	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.711	0.289	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.711	0.289	0.000
rs17749927 lBF = `176.254` Chr`6` : `27,669,976`	0.711	0.289	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.711	0.289	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.711	0.289	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.711	0.289	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.711	0.289	0.000
rs3130977 lBF = `228.553` Chr`6` : `31,081,989`	0.710	0.289	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.710	0.289	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.710	0.289	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.710	0.289	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.710	0.290	0.000
rs2517611 lBF = `186.241` Chr`6` : `30,169,327`	0.710	0.290	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.710	0.290	0.000
rs2524156 lBF = `147.433` Chr`6` : `31,260,397`	0.710	0.290	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.710	0.290	0.000
rs9468317 lBF = `114.533` Chr`6` : `28,198,456`	0.710	0.290	0.000
rs2853935 lBF = `155.153` Chr`6` : `31,253,878`	0.710	0.290	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.710	0.290	0.000
rs967005 lBF = `115.384` Chr`6` : `28,210,688`	0.710	0.290	0.000
rs10484399 lBF = `175.299` Chr`6` : `27,534,528`	0.710	0.290	0.000
rs2251396 lBF = `222.188` Chr`6` : `31,364,707`	0.710	0.290	0.000
rs9461832 lBF = `129.551` Chr`6` : `33,056,384`	0.710	0.290	0.000
rs17693963 lBF = `165.192` Chr`6` : `27,710,165`	0.709	0.290	0.000
rs2853933 lBF = `156.443` Chr`6` : `31,254,088`	0.709	0.291	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.709	0.291	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.709	0.291	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.709	0.291	0.000
rs9274623 lBF = `234.77` Chr`6` : `32,635,998`	0.709	0.291	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.709	0.291	0.000
rs3132579 lBF = `79.6756` Chr`6` : `30,940,989`	0.709	0.291	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.709	0.291	0.000
rs11965763 lBF = `126.728` Chr`6` : `33,076,682`	0.708	0.291	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.708	0.292	0.000
rs3095245 lBF = `173.422` Chr`6` : `31,213,902`	0.708	0.292	0.000
rs28570051 lBF = `173.657` Chr`6` : `31,210,601`	0.708	0.292	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.708	0.292	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.707	0.292	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.707	0.293	0.000
rs4279480 lBF = `196.624` Chr`6` : `32,290,927`	0.000	0.293	0.707
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.707	0.293	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.706	0.293	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.706	0.294	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.706	0.294	0.000
rs3130685 lBF = `121.177` Chr`6` : `31,206,206`	0.706	0.294	0.000
rs2248459 lBF = `243.979` Chr`6` : `31,446,710`	0.706	0.294	0.000
rs2516500 lBF = `218.481` Chr`6` : `31,453,640`	0.706	0.294	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.706	0.294	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.706	0.294	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.706	0.294	0.000
rs149990 lBF = `154.644` Chr`6` : `27,998,258`	0.705	0.294	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.705	0.295	0.000
rs3130781 lBF = `228.518` Chr`6` : `30,914,552`	0.705	0.295	0.000
rs2853939 lBF = `146.056` Chr`6` : `31,250,642`	0.705	0.295	0.000
rs3130955 lBF = `179.933` Chr`6` : `31,054,511`	0.705	0.295	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.705	0.295	0.000
rs3819720 lBF = `246.694` Chr`6` : `32,804,570`	0.705	0.295	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.704	0.295	0.000
rs3749971 lBF = `211.982` Chr`6` : `29,342,775`	0.704	0.296	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.704	0.296	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.704	0.296	0.000
rs926070 lBF = `194.58` Chr`6` : `32,257,566`	0.000	0.296	0.704
rs1264319 lBF = `221.853` Chr`6` : `30,862,423`	0.704	0.296	0.000
rs17763089 lBF = `171.793` Chr`6` : `27,835,218`	0.704	0.296	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.703	0.296	0.000
rs3828840 lBF = `272.834` Chr`6` : `32,520,907`	0.703	0.297	0.000
rs2523451 lBF = `189.434` Chr`6` : `31,369,151`	0.703	0.297	0.000
rs9271060 lBF = `261.575` Chr`6` : `32,575,513`	0.703	0.297	0.000
rs9271192 lBF = `261.325` Chr`6` : `32,578,530`	0.703	0.297	0.000
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	0.703	0.297	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.702	0.297	0.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	0.702	0.298	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.702	0.298	0.000
rs3799380 lBF = `79.7618` Chr`6` : `26,467,182`	0.702	0.298	0.000
rs7756567 lBF = `81.6942` Chr`6` : `26,481,642`	0.702	0.298	0.000
rs9270227 lBF = `253.321` Chr`6` : `32,556,699`	0.000	0.298	0.702
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.701	0.298	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1108

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0868

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7168

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7168

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7168

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7168

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7168

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7167

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7167

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7166

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7165

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7165

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7164

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7163

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7162

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7162

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7161

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7160

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7159

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7159

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7158

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.7156

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7155

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7155

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7155

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7150

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7148

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7145

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7144

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7128

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7126

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7115

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7112

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7107

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7100

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7100

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7091

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7081

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7065

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7057

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7050

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7045

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7031

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7029

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7025

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7017

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7014

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7011

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7006

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6984

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6979

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6974

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6971

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6961

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6933

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6889

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6887

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6876

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6853

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6846

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6798

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6793

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6789

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6737

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6681

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6676

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6654

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6640

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6613

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6584

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6495

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6493

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6474

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6443

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6419

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6384

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6371

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6302

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6253

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6214

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6205

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6165

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6164

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6163

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6156

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6102

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6100

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6090

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6008

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5993

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5954

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5944

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5936

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5786

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5785

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5581

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5539

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5381

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5309

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5035

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4919

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4768

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4747

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4746

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4577

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4425

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4202

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3783

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3662

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3517

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3491

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3471

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3384

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3315

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3243

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3236

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3226

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3170

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3161

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3062

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3023

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2966

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2751

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2641

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2444

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2121

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2047

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1914

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1848

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1826

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1761

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1716

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1644

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1534

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1300

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1295

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1285

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1257

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1025

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0937

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0914

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0913

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0736

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0687

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0677

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0650

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0631

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0544

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`)