TreeWAS – [M18.4] Other secondary arthrosis of first carpometacarpal joints, bilateral

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
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	0.717	0.283	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.717	0.283	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.717	0.283	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.717	0.283	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.717	0.283	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.717	0.283	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.717	0.283	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.717	0.283	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.717	0.283	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.717	0.283	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.717	0.283	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.717	0.283	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.717	0.283	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.717	0.283	0.000
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	0.717	0.283	0.000
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.717	0.283	0.000
rs2001099 lBF = `248.681` Chr`6` : `32,383,633`	0.717	0.283	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.717	0.283	0.000
rs3129891 lBF = `352.967` Chr`6` : `32,415,080`	0.717	0.283	0.000
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	0.717	0.283	0.000
rs2395164 lBF = `251.794` Chr`6` : `32,387,860`	0.717	0.283	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.717	0.283	0.000
rs3135382 lBF = `251.263` Chr`6` : `32,383,441`	0.717	0.283	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.717	0.283	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	0.717	0.283	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.717	0.283	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.717	0.283	0.000
rs3117099 lBF = `87.0702` Chr`6` : `32,358,270`	0.717	0.283	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.717	0.283	0.000
rs3129885 lBF = `252.857` Chr`6` : `32,410,215`	0.717	0.283	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.717	0.283	0.000
rs3129945 lBF = `86.3142` Chr`6` : `32,342,537`	0.717	0.283	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.717	0.283	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.717	0.283	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.717	0.283	0.000
rs115317719 lBF = `253.324` Chr`6` : `32,412,005`	0.717	0.283	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.717	0.283	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.717	0.283	0.000
rs2239806 lBF = `250.007` Chr`6` : `32,411,307`	0.716	0.283	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.716	0.283	0.000
rs3129884 lBF = `251.538` Chr`6` : `32,410,210`	0.716	0.283	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.716	0.283	0.000
rs3135393 lBF = `255.761` Chr`6` : `32,408,842`	0.716	0.283	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.716	0.283	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.716	0.283	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.716	0.283	0.000
rs2239805 lBF = `253.83` Chr`6` : `32,411,376`	0.716	0.283	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.716	0.284	0.000
rs3129887 lBF = `251.48` Chr`6` : `32,410,691`	0.716	0.284	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.716	0.284	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.716	0.284	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.716	0.284	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.716	0.284	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.716	0.284	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.716	0.284	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.716	0.284	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.716	0.284	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.716	0.284	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.715	0.284	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.715	0.284	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.715	0.284	0.000
rs9271489 lBF = `91.561` Chr`6` : `32,589,051`	0.715	0.284	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.715	0.285	0.000
rs73396800 lBF = `71.0876` Chr`6` : `32,914,726`	0.715	0.285	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.715	0.285	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.715	0.285	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.715	0.285	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.715	0.285	0.000
rs3135363 lBF = `65.8126` Chr`6` : `32,389,648`	0.715	0.285	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.715	0.285	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.715	0.285	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.715	0.285	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.715	0.285	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.715	0.285	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.715	0.285	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.715	0.285	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.715	0.285	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.715	0.285	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.715	0.285	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.715	0.285	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.715	0.285	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.715	0.285	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.715	0.285	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.715	0.285	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.715	0.285	0.000
rs9271709 lBF = `90.5678` Chr`6` : `32,593,392`	0.715	0.285	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.715	0.285	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.714	0.286	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.714	0.286	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.714	0.286	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.714	0.286	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.714	0.286	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.714	0.286	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.714	0.286	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.714	0.286	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.713	0.286	0.000
rs9269149 lBF = `81.9951` Chr`6` : `32,445,660`	0.713	0.287	0.000
rs2157338 lBF = `85.9562` Chr`6` : `32,439,323`	0.713	0.287	0.000
rs9268977 lBF = `81.7979` Chr`6` : `32,434,939`	0.713	0.287	0.000
rs9268862 lBF = `82.0613` Chr`6` : `32,430,167`	0.713	0.287	0.000
rs9271894 lBF = `86.7233` Chr`6` : `32,595,874`	0.713	0.287	0.000
rs9268856 lBF = `82.1309` Chr`6` : `32,429,719`	0.712	0.287	0.000
rs2820441 lBF = `38.2491` Chr`1` : `219,734,960`	0.712	0.288	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.712	0.288	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.712	0.288	0.000
rs4434496 lBF = `81.5662` Chr`6` : `32,430,508`	0.712	0.288	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.712	0.288	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.712	0.288	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.711	0.289	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.711	0.289	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.711	0.289	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.711	0.289	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.711	0.289	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.711	0.289	0.000
rs3129890 lBF = `86.6135` Chr`6` : `32,414,273`	0.711	0.289	0.000
rs9268973 lBF = `82.169` Chr`6` : `32,434,778`	0.710	0.290	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.710	0.290	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.710	0.290	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.709	0.290	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.709	0.290	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.709	0.291	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.709	0.291	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.709	0.291	0.000
rs3001032 lBF = `36.8275` Chr`1` : `219,727,779`	0.709	0.291	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.709	0.291	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.708	0.292	0.000
rs3129878 lBF = `176.366` Chr`6` : `32,408,735`	0.708	0.292	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.708	0.292	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.708	0.292	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.707	0.292	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.707	0.293	0.000
rs1015166 lBF = `175.874` Chr`6` : `32,798,731`	0.707	0.293	0.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.707	0.293	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.707	0.293	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.706	0.293	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.706	0.294	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.706	0.294	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.706	0.294	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.706	0.294	0.000
rs4590689 lBF = `6.35595` Chr`1` : `103,264,964`	0.000	0.294	0.705
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.705	0.295	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.705	0.295	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.705	0.295	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.705	0.295	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.705	0.295	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.705	0.295	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.705	0.295	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.704	0.295	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.704	0.296	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.704	0.296	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.704	0.296	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.704	0.296	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.704	0.296	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.704	0.296	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.704	0.296	0.000
rs3753841 lBF = `6.30292` Chr`1` : `103,379,918`	0.000	0.296	0.703
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.703	0.296	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.703	0.297	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.703	0.297	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.703	0.297	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.703	0.297	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.703	0.297	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.703	0.297	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.703	0.297	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.703	0.297	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.703	0.297	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.702	0.298	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.702	0.298	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.702	0.298	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.702	0.298	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.701	0.299	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.701	0.299	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.701	0.299	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.701	0.299	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.701	0.299	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.701	0.299	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.701	0.299	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.701	0.299	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.700	0.299	0.000
rs11809524 lBF = `4.68423` Chr`1` : `103,459,537`	0.700	0.300	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.700	0.300	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.700	0.300	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.700	0.300	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.700	0.300	0.000
rs9257805 lBF = `191.753` Chr`6` : `29,346,329`	0.700	0.300	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.700	0.300	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.700	0.300	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.700	0.300	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.700	0.300	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.700	0.300	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.700	0.300	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.699	0.300	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.699	0.300	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.699	0.301	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.699	0.301	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.699	0.301	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.699	0.301	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.699	0.301	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.699	0.301	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.698	0.301	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.698	0.302	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.698	0.302	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.698	0.302	0.000
rs2523722 lBF = `183.887` Chr`6` : `30,165,273`	0.698	0.302	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.698	0.302	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.698	0.302	0.000
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Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.695	0.305	0.000
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Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.682	0.318	0.000
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Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.681	0.319	0.000
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Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.671	0.329	0.000
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rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.640	0.360	0.000
rs4634439 lBF = `142.37` Chr`6` : `26,598,004`	0.640	0.360	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.640	0.360	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.640	0.360	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.640	0.360	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.639	0.361	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.639	0.361	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.639	0.361	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.638	0.361	0.000
rs2820446 lBF = `41.6353` Chr`1` : `219,748,818`	0.638	0.362	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.638	0.362	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.637	0.362	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.637	0.363	0.000
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.637	0.363	0.000
rs9379897 lBF = `143.879` Chr`6` : `26,601,526`	0.637	0.363	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.637	0.363	0.000
rs4846567 lBF = `41.0301` Chr`1` : `219,750,717`	0.636	0.364	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.636	0.364	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.636	0.364	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.636	0.364	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.635	0.365	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.634	0.365	0.000
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.634	0.366	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.634	0.366	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.634	0.366	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.634	0.366	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.633	0.366	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.633	0.367	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.633	0.367	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.633	0.367	0.000
rs9393705 lBF = `134.475` Chr`6` : `26,361,011`	0.632	0.368	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.632	0.368	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.632	0.368	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.632	0.368	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.632	0.368	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.631	0.369	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.631	0.369	0.000
rs9393708 lBF = `137.887` Chr`6` : `26,362,643`	0.631	0.369	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.630	0.369	0.000
rs1979 lBF = `139.093` Chr`6` : `26,377,591`	0.630	0.370	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.630	0.370	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.630	0.370	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.629	0.371	0.000
rs9276555 lBF = `47.5727` Chr`6` : `32,722,754`	0.629	0.371	0.000
rs9379859 lBF = `137.014` Chr`6` : `26,369,549`	0.629	0.371	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.628	0.371	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.628	0.371	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.628	0.372	0.000
rs9358934 lBF = `135.421` Chr`6` : `26,363,755`	0.628	0.372	0.000
rs72841509 lBF = `133.609` Chr`6` : `26,368,279`	0.628	0.372	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.628	0.372	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.628	0.372	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.627	0.372	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.627	0.373	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.626	0.374	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.626	0.374	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.626	0.374	0.000
rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.626	0.374	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.625	0.375	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.625	0.375	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.625	0.375	0.000
rs9379858 lBF = `135.263` Chr`6` : `26,367,689`	0.625	0.375	0.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.624	0.375	0.000
rs4455710 lBF = `227.625` Chr`6` : `32,608,858`	0.624	0.376	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.624	0.376	0.000
rs9379855 lBF = `136.857` Chr`6` : `26,364,930`	0.623	0.376	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.623	0.377	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.623	0.377	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.623	0.377	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.622	0.378	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.622	0.378	0.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	0.621	0.378	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.621	0.379	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.621	0.379	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.621	0.379	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.619	0.381	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.619	0.381	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.382	0.618
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.618	0.382	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.618	0.382	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.618	0.382	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.617	0.383	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.617	0.383	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.616	0.384	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.616	0.384	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.615	0.385	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.615	0.385	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.615	0.385	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.615	0.385	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7164

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7164

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7163

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7142

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7142

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7119

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7103

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7085

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7066

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7043

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7025

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7024

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6976

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6915

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6908

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6905

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6741

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6740

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6721

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6712

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6702

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6653

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6646

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6600

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6581

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6533

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6433

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6418

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.6361

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6356

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6322

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.6249

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6173

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5956

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5795

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5752

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5735

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5706

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5668

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5658

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5577

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5506

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5482

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5471

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5414

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5364

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5254

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5186

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5149

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5109

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5109

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5084

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5049

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4853

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4738

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4650

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4648

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4633

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4541

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4498

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4472

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4472

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4384

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4323

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4322

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4284

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4163

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4152

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4141

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4026

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3994

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3743

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3696

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3680

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3635

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3621

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3444

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3429

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3404

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3383

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3275

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3260

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3192

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3094

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3075

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2954

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2926

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2913

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2894

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2847

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2801

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2699

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2690

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2625

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2584

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2506

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2502

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2397

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2252

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2209

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2200

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2144

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2122

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2103

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2077

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2072

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2048

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2000

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1990

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1962

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1961

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1919

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1785

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1731

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1693

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1681

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1660

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1540

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1417

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1396

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1379

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1375

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1369

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1303

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1277

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.1246

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1191

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1186

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1184

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1162

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1131

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1087

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1076

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1074

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0994

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0944

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0909

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0866

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0855

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0826

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0803

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0761

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0685

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0681

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0671

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0648

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0596

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0592

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0553

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0553

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0541

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0522

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0509

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`)