TreeWAS – [E05.0] Thyrotoxicosis with diffuse goitre

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
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
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	1.000	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	1.000	0.000
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
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
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
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
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
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	1.000	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	1.000	0.000
rs4410767 lBF = `309.439` Chr`6` : `32,448,129`	0.000	1.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	1.000	0.000
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	0.000	1.000
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
rs12194148 lBF = `308.912` Chr`6` : `32,444,198`	0.000	1.000
rs9378212 lBF = `308.89` Chr`6` : `32,445,691`	0.000	1.000
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
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	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
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	1.000	0.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	0.000	1.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	1.000	0.000
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
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
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
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	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
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	1.000	0.000
rs29001568 lBF = `291.101` Chr`6` : `32,447,341`	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
rs9271588 lBF = `289.695` Chr`6` : `32,590,953`	1.000	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	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
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
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
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	1.000	0.000
rs7763262 lBF = `276.605` Chr`6` : `32,424,882`	0.000	1.000
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
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	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
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	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
rs3763327 lBF = `262.587` Chr`6` : `32,413,830`	1.000	0.000
rs7194 lBF = `262.474` Chr`6` : `32,412,480`	1.000	0.000
rs7192 lBF = `262.343` Chr`6` : `32,411,646`	1.000	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	1.000	0.000
rs2227139 lBF = `262.066` Chr`6` : `32,413,459`	1.000	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	1.000	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	1.000	0.000
rs2213586 lBF = `260.512` Chr`6` : `32,413,094`	1.000	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	1.000	0.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	1.000	0.000
rs9269831 lBF = `259.034` Chr`6` : `32,550,012`	1.000	0.000
rs7195 lBF = `257.422` Chr`6` : `32,412,539`	1.000	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	1.000	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	1.000	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	1.000	0.000
rs7759742 lBF = `255.818` Chr`6` : `32,381,736`	0.000	1.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	1.000	0.000
rs3135393 lBF = `255.761` Chr`6` : `32,408,842`	1.000	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	1.000	0.000
rs11244 lBF = `255.169` Chr`6` : `32,780,724`	1.000	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	1.000	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	1.000	0.000
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	1.000	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	1.000	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	1.000	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	1.000	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	1.000	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	1.000	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	1.000	0.000
rs2239805 lBF = `253.83` Chr`6` : `32,411,376`	1.000	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	1.000	0.000
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	1.000	0.000
rs115317719 lBF = `253.324` Chr`6` : `32,412,005`	1.000	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	1.000	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	1.000	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	1.000	0.000
rs3129885 lBF = `252.857` Chr`6` : `32,410,215`	1.000	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	1.000	0.000
rs2524054 lBF = `252.073` Chr`6` : `31,252,396`	0.000	1.000
rs2395164 lBF = `251.794` Chr`6` : `32,387,860`	1.000	0.000
rs3129884 lBF = `251.538` Chr`6` : `32,410,210`	1.000	0.000
rs3129887 lBF = `251.48` Chr`6` : `32,410,691`	1.000	0.000
rs3135382 lBF = `251.263` Chr`6` : `32,383,441`	1.000	0.000
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	1.000	0.000
rs2239806 lBF = `250.007` Chr`6` : `32,411,307`	1.000	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	1.000	0.000
rs2001099 lBF = `248.681` Chr`6` : `32,383,633`	1.000	0.000
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rs6915455 lBF = `82.932` Chr`6` : `32,283,494`	1.000	0.000
rs9268973 lBF = `82.169` Chr`6` : `32,434,778`	1.000	0.000
rs9268856 lBF = `82.1309` Chr`6` : `32,429,719`	1.000	0.000
rs9268862 lBF = `82.0613` Chr`6` : `32,430,167`	1.000	0.000
rs6457536 lBF = `82.0453` Chr`6` : `32,273,765`	1.000	0.000
rs9269149 lBF = `81.9951` Chr`6` : `32,445,660`	1.000	0.000
rs9268977 lBF = `81.7979` Chr`6` : `32,434,939`	1.000	0.000
rs1559874 lBF = `81.7562` Chr`6` : `32,243,155`	1.000	0.000
rs9268202 lBF = `81.6138` Chr`6` : `32,279,340`	1.000	0.000
rs4434496 lBF = `81.5662` Chr`6` : `32,430,508`	1.000	0.000
rs9268885 lBF = `80.4183` Chr`6` : `32,431,705`	1.000	0.000
rs1634714 lBF = `80.1762` Chr`6` : `30,951,561`	1.000	0.000
rs3132579 lBF = `79.6756` Chr`6` : `30,940,989`	1.000	0.000
rs6909427 lBF = `79.0866` Chr`6` : `32,268,701`	1.000	0.000
rs7742654 lBF = `78.9886` Chr`6` : `32,271,443`	1.000	0.000
rs3096673 lBF = `78.873` Chr`6` : `32,238,013`	1.000	0.000
rs3094084 lBF = `78.5529` Chr`6` : `30,947,509`	1.000	0.000
rs9268165 lBF = `78.52` Chr`6` : `32,272,327`	1.000	0.000
rs7341328 lBF = `77.795` Chr`6` : `32,275,194`	1.000	0.000
rs6935269 lBF = `77.7504` Chr`6` : `32,260,350`	1.000	0.000
rs3864302 lBF = `77.5578` Chr`6` : `32,278,792`	1.000	0.000
rs7767325 lBF = `77.4929` Chr`6` : `32,233,886`	1.000	0.000
rs3096681 lBF = `77.0179` Chr`6` : `32,235,177`	1.000	0.000
rs3115569 lBF = `76.7928` Chr`6` : `32,224,139`	1.000	0.000
rs1018430 lBF = `76.6565` Chr`6` : `32,281,688`	1.000	0.000
rs3749966 lBF = `76.6498` Chr`6` : `32,261,507`	1.000	0.000
rs3115563 lBF = `76.6493` Chr`6` : `32,233,638`	1.000	0.000
rs3130340 lBF = `76.5037` Chr`6` : `32,244,627`	1.000	0.000
rs3115560 lBF = `76.4939` Chr`6` : `32,236,142`	1.000	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	1.000	0.000
rs3115553 lBF = `75.8613` Chr`6` : `32,245,827`	1.000	0.000
rs7751896 lBF = `75.8342` Chr`6` : `32,255,410`	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

0.9902

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3219

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0786

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0663

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

0.9900

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9800

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.9771

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9737

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9067

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8932

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8920

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8903

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8900

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8603

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8493

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8186

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8172

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8031

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8020

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7749

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7511

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7483

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7370

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7194

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7134

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7024

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6973

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6820

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6782

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6682

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6533

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6517

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6364

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6066

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5910

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5900

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5874

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5657

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5636

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5424

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5283

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5191

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5036

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5011

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5000

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4909

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4627

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4534

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4435

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4338

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4299

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4187

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4128

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4012

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3827

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3759

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3527

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3471

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3413

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3281

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3252

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2932

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2468

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2131

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2010

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1995

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1940

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1755

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1745

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1616

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1607

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1597

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1489

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1236

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1088

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1061

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1042

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1041

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1020

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1016

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0977

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0940

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0933

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0926

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0919

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0918

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0902

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0899

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0888

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0852

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0842

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0812

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0810

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0794

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0794

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0740

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0739

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0732

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0712

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0708

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0647

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0641

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0634

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0626

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0618

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0606

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0602

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0584

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0579

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0553

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0541

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0524

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0516

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0516

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`)