TreeWAS – [H36.0] Diabetic retinopathy

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
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	1.000	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	1.000	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	1.000	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	1.000	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	1.000	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	1.000	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	1.000	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	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
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
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
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	1.000	0.000
rs9268515 lBF = `390.149` Chr`6` : `32,379,295`	1.000	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	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
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	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
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	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
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
rs28361060 lBF = `366.643` Chr`6` : `32,303,848`	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
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	1.000	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	1.000	0.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	1.000	0.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	1.000	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	1.000	0.000
rs3763309 lBF = `364.621` Chr`6` : `32,375,973`	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
rs3793127 lBF = `363.437` Chr`6` : `32,371,915`	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
rs3763312 lBF = `361.447` Chr`6` : `32,376,348`	1.000	0.000
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	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
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
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
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	1.000	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	1.000	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	1.000	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	1.000	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	1.000	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	1.000	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	1.000	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	1.000	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	1.000	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	1.000	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	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
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	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
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	1.000	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	1.000	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	1.000	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	1.000	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	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
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	1.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	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
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
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	1.000	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	1.000	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	1.000	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	1.000	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	1.000	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	1.000	0.000
rs3135395 lBF = `306.183` Chr`6` : `32,405,192`	0.000	1.000
Affx-28475675 lBF = `305.306` Chr`6` : `32,429,594`	0.000	1.000
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
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
rs984778 lBF = `300.859` Chr`6` : `32,400,088`	0.000	1.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	1.000	0.000
rs3135338 lBF = `297.666` Chr`6` : `32,401,217`	0.000	1.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	1.000	0.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	1.000	0.000
rs2395166 lBF = `291.927` Chr`6` : `32,388,275`	0.000	1.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	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
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
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	1.000	0.000
rs3129882 lBF = `286.214` Chr`6` : `32,409,530`	0.000	1.000
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
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	1.000	0.000
rs3135344 lBF = `280.03` Chr`6` : `32,395,036`	0.000	1.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	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
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	1.000	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	1.000	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	1.000	0.000
rs3129883 lBF = `273.029` Chr`6` : `32,410,137`	0.000	1.000
rs3828840 lBF = `272.834` Chr`6` : `32,520,907`	1.000	0.000
rs3129886 lBF = `272.418` Chr`6` : `32,410,576`	0.000	1.000
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
rs72845730 lBF = `263.988` Chr`6` : `32,526,731`	0.000	1.000
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	1.000	0.000
rs77501456 lBF = `260.985` Chr`6` : `32,523,627`	0.000	1.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	1.000	0.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	1.000	0.000
rs9275555 lBF = `255.458` Chr`6` : `32,677,088`	1.000	0.000
rs11244 lBF = `255.169` Chr`6` : `32,780,724`	1.000	0.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	1.000	0.000
rs9269861 lBF = `251.556` Chr`6` : `32,550,501`	0.000	1.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	1.000	0.000
rs3819720 lBF = `246.694` Chr`6` : `32,804,570`	1.000	0.000
rs9268633 lBF = `244.242` Chr`6` : `32,406,473`	0.000	1.000
rs9275399 lBF = `243.294` Chr`6` : `32,669,712`	1.000	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	1.000	0.000
rs9275390 lBF = `241.559` Chr`6` : `32,669,156`	1.000	0.000
rs9275388 lBF = `241.462` Chr`6` : `32,669,084`	1.000	0.000
Affx-28458228 lBF = `241.371` Chr`6` : `31,474,000`	1.000	0.000
rs9275406 lBF = `241.305` Chr`6` : `32,669,955`	1.000	0.000
rs2516412 lBF = `240.991` Chr`6` : `31,462,321`	1.000	0.000
rs9275418 lBF = `240.862` Chr`6` : `32,670,244`	1.000	0.000
rs2534679 lBF = `240.859` Chr`6` : `31,463,790`	1.000	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	1.000	0.000
rs2534673 lBF = `239.531` Chr`6` : `31,465,490`	1.000	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	1.000	0.000
rs9469220 lBF = `239.257` Chr`6` : `32,658,310`	0.000	1.000
rs9275371 lBF = `239.231` Chr`6` : `32,668,296`	1.000	0.000
rs9275375 lBF = `239.212` Chr`6` : `32,668,632`	1.000	0.000
rs9275440 lBF = `239.189` Chr`6` : `32,671,596`	1.000	0.000
rs9275407 lBF = `237.54` Chr`6` : `32,670,037`	1.000	0.000
rs2246618 lBF = `235.038` Chr`6` : `31,478,986`	1.000	0.000
rs2395165 lBF = `231.325` Chr`6` : `32,388,144`	0.000	1.000
rs3135377 lBF = `230.633` Chr`6` : `32,385,399`	0.000	1.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	1.000	0.000
rs4959027 lBF = `230.102` Chr`6` : `32,383,050`	0.000	1.000
rs3135365 lBF = `229.562` Chr`6` : `32,389,255`	0.000	1.000
rs9271366 lBF = `229.528` Chr`6` : `32,586,854`	1.000	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	1.000	0.000
rs2239802 lBF = `227.934` Chr`6` : `32,411,846`	0.000	1.000
rs2395182 lBF = `227.918` Chr`6` : `32,413,317`	0.000	1.000
rs9273076 lBF = `225.981` Chr`6` : `32,612,301`	1.000	0.000
rs9270984 lBF = `225.558` Chr`6` : `32,573,991`	1.000	0.000
rs9271640 lBF = `222.488` Chr`6` : `32,592,200`	1.000	0.000
rs3132958 lBF = `219.016` Chr`6` : `32,297,901`	0.000	1.000
rs3132959 lBF = `218.555` Chr`6` : `32,298,942`	0.000	1.000
rs3129941 lBF = `218.3` Chr`6` : `32,337,686`	0.000	1.000
rs3916765 lBF = `217.868` Chr`6` : `32,685,550`	1.000	0.000
rs3117138 lBF = `217.565` Chr`6` : `32,306,970`	0.000	1.000
rs3132943 lBF = `217.382` Chr`6` : `32,308,465`	0.000	1.000
rs3129931 lBF = `217.166` Chr`6` : `32,335,516`	0.000	1.000
rs3129932 lBF = `217.142` Chr`6` : `32,336,127`	0.000	1.000
rs3117111 lBF = `217.05` Chr`6` : `32,338,400`	0.000	1.000
rs2894249 lBF = `216.976` Chr`6` : `32,325,835`	0.000	1.000
rs58495148 lBF = `216.755` Chr`6` : `32,520,816`	0.000	1.000
rs3117113 lBF = `216.453` Chr`6` : `32,325,292`	0.000	1.000
rs3129907 lBF = `216.31` Chr`6` : `32,323,745`	0.000	1.000
rs3135350 lBF = `216.139` Chr`6` : `32,392,981`	1.000	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	1.000	0.000
rs9269910 lBF = `215.553` Chr`6` : `32,551,350`	0.000	1.000
rs9269797 lBF = `215.504` Chr`6` : `32,549,284`	0.000	1.000
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rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	1.000	0.000
Affx-28502467 lBF = `110.795` Chr`6` : `32,681,645`	0.000	1.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	1.000	0.000
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	0.000	1.000
rs2858308 lBF = `53.453` Chr`6` : `32,670,000`	0.000	1.000
rs115470510 lBF = `39.0562` Chr`6` : `31,618,511`	1.000	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	1.000	0.000
rs707938 lBF = `236.606` Chr`6` : `31,729,359`	1.000	0.000
rs3129954 lBF = `177.83` Chr`6` : `32,365,580`	0.000	1.000
rs9276430 lBF = `170.396` Chr`6` : `32,712,182`	1.000	0.000
rs9276490 lBF = `169.999` Chr`6` : `32,718,681`	1.000	0.000
rs3131283 lBF = `148.813` Chr`6` : `32,119,898`	0.000	1.000
rs1800684 lBF = `146.577` Chr`6` : `32,151,994`	0.000	1.000
rs6935723 lBF = `113.539` Chr`6` : `32,681,669`	0.000	1.000
rs3129945 lBF = `86.3142` Chr`6` : `32,342,537`	1.000	0.000
rs9268137 lBF = `85.7285` Chr`6` : `32,255,269`	1.000	0.000
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	1.000	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	1.000	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	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
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	1.000	0.000
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	1.000	0.000
rs3129948 lBF = `179.013` Chr`6` : `32,354,644`	0.000	1.000
rs2051549 lBF = `174.239` Chr`6` : `32,730,086`	1.000	0.000
rs7768538 lBF = `173.854` Chr`6` : `32,729,821`	1.000	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	1.000	0.000
rs115526889 lBF = `33.5289` Chr`6` : `31,737,818`	1.000	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	1.000	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	1.000	0.000
rs3129768 lBF = `203.859` Chr`6` : `32,595,083`	0.000	1.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	1.000	0.000
rs3096674 lBF = `85.1077` Chr`6` : `32,238,219`	1.000	0.000
rs9268202 lBF = `81.6138` Chr`6` : `32,279,340`	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 X0196

log Bayes Factor = 301.726

contains 18 variants

1.0000

Cluster X0144

log Bayes Factor = 54.4705

contains 4 variants

0.9995

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.4337

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.1943

Cluster X0329

log Bayes Factor = 21.7039

contains 2 variants

0.0619

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

1.0000

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

1.0000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

1.0000

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9999

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9999

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9999

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9997

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9997

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9994

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9990

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9980

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9976

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9967

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9967

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9966

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9965

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9950

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9909

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9894

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9887

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9875

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9850

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9844

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9790

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9745

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9594

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9581

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9538

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9518

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9467

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9368

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9336

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9292

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9263

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9143

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9103

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8950

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8780

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8685

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8491

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8475

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7537

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7260

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7111

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7021

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7000

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6940

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6851

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6597

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6590

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6520

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6503

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6299

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6168

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5973

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5492

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4872

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4813

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4750

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4576

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3926

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3895

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3864

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3838

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.3675

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3524

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3523

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3407

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3077

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2706

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2678

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2676

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2565

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2442

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2385

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2234

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2225

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2191

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2139

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2117

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2036

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2031

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1937

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1647

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1601

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1491

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1372

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1041

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1032

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0879

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0823

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0821

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0663

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0656

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0646

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0602

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0578

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0521

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0510

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`)