TreeWAS – [E05.4] Thyrotoxicosis factitia

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
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.717	0.283	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.717	0.283	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.283	0.717
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.717	0.283	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.717	0.283	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.717	0.283	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.717	0.283	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.283	0.717
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.283	0.717
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.283	0.717
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.283	0.717
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	0.283	0.717
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.283	0.717
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.283	0.717
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.717	0.283	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	0.283	0.717
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.717	0.283	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.283	0.717
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	0.283	0.717
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.717	0.283	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	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
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.283	0.717
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.717	0.283	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.717	0.283	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.717	0.283	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.717	0.283	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.717	0.283	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.717	0.283	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.717	0.283	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.717	0.283	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.717	0.283	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.717	0.283	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	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
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	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
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.717	0.283	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.717	0.283	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.717	0.283	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.717	0.283	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.717	0.283	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	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
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.717	0.283	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	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
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.717	0.283	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.717	0.283	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.717	0.283	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.717	0.283	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.717	0.283	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.717	0.283	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.717	0.283	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.717	0.283	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.717	0.283	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.717	0.283	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.717	0.283	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.717	0.283	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.717	0.283	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.717	0.283	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.717	0.283	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.717	0.283	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.717	0.283	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.717	0.283	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.717	0.283	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.717	0.283	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.717	0.283	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.717	0.283	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.717	0.283	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.717	0.283	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.717	0.283	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.717	0.283	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.717	0.283	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.717	0.283	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.717	0.283	0.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	0.000	0.283	0.717
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.717	0.283	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.717	0.283	0.000
rs3129891 lBF = `352.967` Chr`6` : `32,415,080`	0.717	0.283	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.717	0.283	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.717	0.283	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.717	0.283	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	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
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.717	0.283	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.717	0.283	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.717	0.283	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	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
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.717	0.283	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.717	0.283	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.717	0.283	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.717	0.283	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.717	0.283	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.717	0.283	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.717	0.283	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.717	0.283	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.717	0.283	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.717	0.283	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.717	0.283	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.717	0.283	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.717	0.283	0.000
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	0.283	0.717
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.717	0.283	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.717	0.283	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.717	0.283	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.717	0.283	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.717	0.283	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.717	0.283	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.717	0.283	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.717	0.283	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.717	0.283	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.717	0.283	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.717	0.283	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.717	0.283	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.717	0.283	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.717	0.283	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.717	0.283	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.717	0.283	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.717	0.283	0.000
rs3130457 lBF = `312.696` Chr`6` : `31,147,194`	0.717	0.283	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.717	0.283	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.717	0.283	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	0.717	0.283	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.717	0.283	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.717	0.283	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.717	0.283	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.717	0.283	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.717	0.283	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.717	0.283	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.717	0.283	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.717	0.283	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.717	0.283	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.717	0.283	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.717	0.283	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.717	0.283	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.717	0.283	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.717	0.283	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.717	0.283	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.717	0.283	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.717	0.283	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.717	0.283	0.000
rs3135395 lBF = `306.183` Chr`6` : `32,405,192`	0.000	0.283	0.717
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	0.717	0.283	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.717	0.283	0.000
rs9271348 lBF = `305.289` Chr`6` : `32,583,742`	0.717	0.283	0.000
rs3135335 lBF = `304.942` Chr`6` : `32,401,845`	0.000	0.283	0.717
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.717	0.283	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	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
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.717	0.283	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.717	0.283	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.717	0.283	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.717	0.283	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.717	0.283	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.717	0.283	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.717	0.283	0.000
rs984778 lBF = `300.859` Chr`6` : `32,400,088`	0.000	0.283	0.717
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.717	0.283	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.717	0.283	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	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
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.717	0.283	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	0.717	0.283	0.000
rs3135338 lBF = `297.666` Chr`6` : `32,401,217`	0.000	0.283	0.717
rs2394895 lBF = `297.618` Chr`6` : `31,206,979`	0.717	0.283	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.717	0.283	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.717	0.283	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.717	0.283	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.717	0.283	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.717	0.283	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.717	0.283	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.717	0.283	0.000
rs3132505 lBF = `293.157` Chr`6` : `31,177,503`	0.717	0.283	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.717	0.283	0.000
rs2395166 lBF = `291.927` Chr`6` : `32,388,275`	0.000	0.283	0.717
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.717	0.283	0.000
rs3132506 lBF = `290.614` Chr`6` : `31,176,226`	0.717	0.283	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.717	0.283	0.000
rs2853953 lBF = `290.388` Chr`6` : `31,235,505`	0.717	0.283	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.717	0.283	0.000
rs3129867 lBF = `289.989` Chr`6` : `32,404,220`	0.000	0.283	0.717
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.717	0.283	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.717	0.283	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.717	0.283	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	0.717	0.283	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.717	0.283	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.717	0.283	0.000
rs9274569 lBF = `284.288` Chr`6` : `32,635,092`	0.717	0.283	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	0.717	0.283	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.717	0.283	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.717	0.283	0.000
rs6906021 lBF = `280.702` Chr`6` : `32,626,311`	0.717	0.283	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.717	0.283	0.000
rs3135344 lBF = `280.03` Chr`6` : `32,395,036`	0.000	0.283	0.717
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.717	0.283	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.717	0.283	0.000
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rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.717	0.283	0.000
rs2844657 lBF = `213.204` Chr`6` : `30,829,522`	0.717	0.283	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.717	0.283	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.717	0.283	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.717	0.283	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.717	0.283	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.717	0.283	0.000
rs3749971 lBF = `211.982` Chr`6` : `29,342,775`	0.717	0.283	0.000
rs1265762 lBF = `210.925` Chr`6` : `32,321,115`	0.000	0.283	0.717
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.717	0.283	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.717	0.283	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.717	0.283	0.000
rs3131290 lBF = `209.909` Chr`6` : `32,183,175`	0.717	0.283	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.717	0.283	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.717	0.283	0.000
rs3130975 lBF = `209.002` Chr`6` : `31,081,838`	0.717	0.283	0.000
rs2844635 lBF = `208.882` Chr`6` : `31,075,481`	0.717	0.283	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.717	0.283	0.000
rs9263567 lBF = `208.678` Chr`6` : `31,069,527`	0.717	0.283	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.717	0.283	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.717	0.283	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.717	0.283	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.717	0.283	0.000
rs915895 lBF = `208.157` Chr`6` : `32,190,217`	0.717	0.283	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.717	0.283	0.000
rs1264372 lBF = `207.802` Chr`6` : `30,769,726`	0.717	0.283	0.000
rs2517403 lBF = `207.663` Chr`6` : `31,067,009`	0.717	0.283	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.717	0.283	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.717	0.283	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.717	0.283	0.000
rs2523454 lBF = `206.037` Chr`6` : `31,367,865`	0.717	0.283	0.000
rs9264643 lBF = `205.849` Chr`6` : `31,238,492`	0.717	0.283	0.000
rs1265061 lBF = `205.735` Chr`6` : `31,078,257`	0.717	0.283	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.717	0.283	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.717	0.283	0.000
rs2844569 lBF = `203.491` Chr`6` : `31,336,604`	0.717	0.283	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.717	0.283	0.000
rs2517485 lBF = `202.878` Chr`6` : `31,074,101`	0.717	0.283	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.717	0.283	0.000
rs2050190 lBF = `201.518` Chr`6` : `32,339,076`	0.717	0.283	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.717	0.283	0.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	0.717	0.283	0.000
rs1130838 lBF = `200.175` Chr`6` : `31,237,124`	0.717	0.283	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.717	0.283	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.717	0.283	0.000
rs1049281 lBF = `198.992` Chr`6` : `31,236,567`	0.717	0.283	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.717	0.283	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.717	0.283	0.000
rs3129908 lBF = `198.273` Chr`6` : `32,325,707`	0.000	0.283	0.717
rs3094694 lBF = `198.27` Chr`6` : `30,451,904`	0.717	0.283	0.000
rs1233579 lBF = `197.386` Chr`6` : `28,712,663`	0.717	0.283	0.000
rs5000563 lBF = `197.352` Chr`6` : `32,404,135`	0.717	0.283	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.717	0.283	0.000
rs983561 lBF = `196.714` Chr`6` : `32,403,655`	0.717	0.283	0.000
rs4279480 lBF = `196.624` Chr`6` : `32,290,927`	0.000	0.283	0.717
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.717	0.283	0.000
rs3129872 lBF = `196.328` Chr`6` : `32,407,153`	0.717	0.283	0.000
rs3129847 lBF = `196.01` Chr`6` : `32,396,506`	0.717	0.283	0.000
rs3135342 lBF = `195.973` Chr`6` : `32,396,615`	0.717	0.283	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.717	0.283	0.000
rs2517544 lBF = `195.736` Chr`6` : `31,009,508`	0.717	0.283	0.000
rs3129853 lBF = `195.43` Chr`6` : `32,398,648`	0.717	0.283	0.000
rs1265758 lBF = `194.604` Chr`6` : `32,323,529`	0.000	0.283	0.717
rs926070 lBF = `194.58` Chr`6` : `32,257,566`	0.000	0.283	0.717
rs13197574 lBF = `194.513` Chr`6` : `28,060,239`	0.717	0.283	0.000
rs35242582 lBF = `194.11` Chr`6` : `32,600,057`	0.000	0.283	0.717
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.717	0.283	0.000
rs9265549 lBF = `194.028` Chr`6` : `31,298,240`	0.717	0.283	0.000
rs9276606 lBF = `193.378` Chr`6` : `32,736,695`	0.717	0.283	0.000
rs3129858 lBF = `193.082` Chr`6` : `32,400,520`	0.717	0.283	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.717	0.283	0.000
rs3129881 lBF = `192.81` Chr`6` : `32,409,484`	0.717	0.283	0.000
rs3129846 lBF = `192.704` Chr`6` : `32,396,475`	0.717	0.283	0.000
rs2395181 lBF = `192.663` Chr`6` : `32,407,404`	0.717	0.283	0.000
rs3129876 lBF = `192.519` Chr`6` : `32,408,012`	0.717	0.283	0.000
rs9257805 lBF = `191.753` Chr`6` : `29,346,329`	0.717	0.283	0.000
rs3129877 lBF = `191.25` Chr`6` : `32,408,597`	0.717	0.283	0.000
rs9276726 lBF = `191.154` Chr`6` : `32,763,888`	0.717	0.283	0.000
rs3135339 lBF = `190.922` Chr`6` : `32,399,261`	0.717	0.283	0.000
rs13218875 lBF = `190.478` Chr`6` : `27,884,012`	0.717	0.283	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

0.7104

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3747

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0623

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0577

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7169

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.7169

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.7169

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.7166

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7151

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7095

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7078

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7054

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7029

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7013

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6983

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6939

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6915

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6835

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6756

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6736

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6557

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6527

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6506

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6425

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6368

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6291

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6050

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5934

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5816

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5809

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5696

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5660

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5648

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5563

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5535

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5535

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5464

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5437

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5432

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5313

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5248

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5189

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5178

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5141

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5136

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4889

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4867

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4735

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4726

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4679

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4582

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4578

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4553

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4418

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4363

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4322

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4300

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4276

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4269

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4212

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4089

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4060

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3879

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3777

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3744

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3567

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3549

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3499

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3365

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3251

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3109

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3108

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3082

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3051

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2834

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2660

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2647

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2510

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2431

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2388

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2376

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2305

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2286

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2275

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2261

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2203

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2179

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2142

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2123

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2112

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2106

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2078

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2072

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2065

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2057

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1965

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1903

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1897

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1895

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1841

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1834

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1827

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1799

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1752

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1694

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1684

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1652

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1642

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1623

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1622

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1591

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1588

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1542

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1492

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1484

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1482

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1440

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1389

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1388

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1248

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1244

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1242

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1230

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1221

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1217

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1202

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1188

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1176

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1167

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1155

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1154

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1138

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1136

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1126

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1104

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1095

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1054

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1016

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1012

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0993

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0980

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0978

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0955

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0946

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0936

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0932

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0929

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0928

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0917

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0916

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0876

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0874

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0855

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0832

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0784

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0766

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0754

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0734

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0710

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0692

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0687

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0683

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0682

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0654

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0646

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0642

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0629

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0606

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0583

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0562

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0543

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0540

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0524

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`)