TreeWAS – [E05.9] Thyrotoxicosis, 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
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	1.000	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	1.000	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	1.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	1.000	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	1.000	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	1.000	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	1.000	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	1.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	1.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	1.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	1.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	1.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	1.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	1.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	1.000	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	1.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	1.000	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	1.000
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	1.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	1.000	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	1.000	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	1.000	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	1.000	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	1.000	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	1.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	1.000	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	1.000	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	1.000	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	1.000	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	1.000	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	1.000	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	1.000	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	1.000	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	1.000	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	1.000	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	1.000	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	1.000	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	1.000	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	1.000	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	1.000	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	1.000	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	1.000	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	1.000	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	1.000	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	1.000	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	1.000	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	1.000	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	1.000	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	1.000	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	1.000	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	1.000	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	1.000	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	1.000	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	1.000	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	1.000	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	1.000	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	1.000	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	1.000	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	1.000	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	1.000	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	1.000	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	1.000	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	1.000	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	1.000	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	1.000	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	1.000	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	1.000	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	1.000	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	1.000	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	1.000	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	1.000	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	1.000	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	1.000	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	1.000	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	1.000	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	1.000	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	1.000	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	1.000	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	1.000	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	1.000	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	1.000	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	1.000	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	1.000	0.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	0.000	1.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	1.000	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	1.000	0.000
rs3129891 lBF = `352.967` Chr`6` : `32,415,080`	1.000	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	1.000	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	1.000	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	1.000	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	1.000	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	1.000	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	1.000	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	1.000	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	1.000	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	1.000	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	1.000	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	1.000	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	1.000	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	1.000	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	1.000	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	1.000	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	1.000	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	1.000	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	1.000	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	1.000	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	1.000	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	1.000	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	1.000	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	1.000	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	1.000	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	1.000	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	1.000	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	1.000	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	1.000	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	1.000	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	1.000	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	1.000	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	1.000	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	1.000	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	1.000	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	1.000	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	1.000	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	1.000	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	1.000	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	1.000	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	1.000	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	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
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	1.000	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	1.000	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	1.000	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	1.000	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	1.000	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	1.000	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	1.000	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	1.000	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	1.000	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	1.000	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	1.000	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	1.000	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	1.000	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	1.000	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	1.000	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	1.000	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	1.000	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	1.000	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	1.000	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	1.000	0.000
rs3135395 lBF = `306.183` Chr`6` : `32,405,192`	0.000	1.000
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	1.000	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	1.000	0.000
rs9271348 lBF = `305.289` Chr`6` : `32,583,742`	1.000	0.000
rs3135335 lBF = `304.942` Chr`6` : `32,401,845`	0.000	1.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	1.000	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	1.000	0.000
rs1150765 lBF = `304.593` Chr`6` : `31,127,562`	1.000	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	1.000	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	1.000	0.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	0.000	1.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	1.000	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	1.000	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	1.000	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	1.000	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	1.000	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	1.000	0.000
rs984778 lBF = `300.859` Chr`6` : `32,400,088`	0.000	1.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	1.000	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	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
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	1.000	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	1.000	0.000
rs3135338 lBF = `297.666` Chr`6` : `32,401,217`	0.000	1.000
rs2394895 lBF = `297.618` Chr`6` : `31,206,979`	1.000	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	1.000	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	1.000	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	1.000	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	1.000	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	1.000	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	1.000	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	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
rs2395166 lBF = `291.927` Chr`6` : `32,388,275`	0.000	1.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	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
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	1.000	0.000
rs3129867 lBF = `289.989` Chr`6` : `32,404,220`	0.000	1.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	1.000	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	1.000	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	1.000	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	1.000	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	1.000	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	1.000	0.000
rs9274569 lBF = `284.288` Chr`6` : `32,635,092`	1.000	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	1.000	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	1.000	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	1.000	0.000
rs6906021 lBF = `280.702` Chr`6` : `32,626,311`	1.000	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	1.000	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	1.000	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	1.000	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	1.000	0.000
rs3130944 lBF = `278.865` Chr`6` : `31,196,671`	1.000	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	1.000	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	1.000	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	1.000	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	1.000	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	1.000	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	1.000	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	1.000	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	1.000	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	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
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	1.000	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	1.000	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	1.000	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	1.000	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	1.000	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	1.000	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	1.000	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	1.000	0.000
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	1.000	0.000
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
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	1.000	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	1.000	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	1.000	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	1.000	0.000
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rs3129877 lBF = `191.25` Chr`6` : `32,408,597`	1.000	0.000
rs9276726 lBF = `191.154` Chr`6` : `32,763,888`	1.000	0.000
rs3135339 lBF = `190.922` Chr`6` : `32,399,261`	1.000	0.000
rs13218875 lBF = `190.478` Chr`6` : `27,884,012`	1.000	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	1.000	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	1.000	0.000
rs3135296 lBF = `190.167` Chr`6` : `28,795,856`	1.000	0.000
rs2523451 lBF = `189.434` Chr`6` : `31,369,151`	1.000	0.000
rs1634718 lBF = `188.06` Chr`6` : `30,972,865`	1.000	0.000
rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	1.000	0.000
rs45509595 lBF = `186.765` Chr`6` : `27,840,926`	1.000	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	1.000	0.000
rs886403 lBF = `186.516` Chr`6` : `30,957,618`	1.000	0.000
rs2517611 lBF = `186.241` Chr`6` : `30,169,327`	1.000	0.000
rs3094122 lBF = `186.196` Chr`6` : `30,728,360`	1.000	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	1.000	0.000
rs2844697 lBF = `185.505` Chr`6` : `30,932,309`	1.000	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	1.000	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	1.000	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	1.000	0.000
rs3129859 lBF = `184.335` Chr`6` : `32,400,939`	1.000	0.000
rs2523722 lBF = `183.887` Chr`6` : `30,165,273`	1.000	0.000
rs3095085 lBF = `183.79` Chr`6` : `30,937,377`	1.000	0.000
rs2517425 lBF = `183.674` Chr`6` : `30,949,670`	1.000	0.000
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	1.000	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	1.000	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	1.000	0.000
rs13205911 lBF = `183.282` Chr`6` : `28,124,114`	1.000	0.000
rs3128982 lBF = `183.245` Chr`6` : `31,417,191`	1.000	0.000
rs3099836 lBF = `183.222` Chr`6` : `31,418,070`	1.000	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	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 X0323

log Bayes Factor = 180.399

contains 5 variants

0.7772

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4176

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0708

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

1.0000

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

1.0000

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9993

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.9992

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9854

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9826

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9816

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9775

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9704

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9608

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9262

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8539

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7923

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7736

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7178

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7018

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6875

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6798

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6684

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6614

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6609

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6470

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6417

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5522

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5509

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4949

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3992

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3343

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3149

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3124

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2759

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2586

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2585

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2549

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2501

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2211

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2108

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2098

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2083

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1984

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1783

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1725

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1508

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1442

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1419

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1395

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1365

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1327

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1240

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1222

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1109

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1031

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0991

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0856

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0806

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0804

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0791

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0762

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0750

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0739

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0706

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0694

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0658

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0596

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0578

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0562

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0545

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0544

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0510

Cluster X0045

log Bayes Factor = 446.264

contains 16 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`)