TreeWAS – [M06.9] Rheumatoid arthritis, unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	Protective posterior probability
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	1.000	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	1.000	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	1.000	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	1.000	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	1.000	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	1.000	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	1.000	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	1.000	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	1.000	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	1.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	1.000	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	1.000	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.000	1.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	1.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	1.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	1.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	1.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	1.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	1.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	1.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	1.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.000	1.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	1.000
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	1.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	1.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.000	1.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.000	1.000
rs9268515 lBF = `390.149` Chr`6` : `32,379,295`	1.000	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	1.000	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	1.000	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	1.000	0.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	1.000	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	1.000	0.000
rs28361060 lBF = `366.643` Chr`6` : `32,303,848`	1.000	0.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	1.000	0.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	1.000	0.000
rs3763309 lBF = `364.621` Chr`6` : `32,375,973`	1.000	0.000
rs3793127 lBF = `363.437` Chr`6` : `32,371,915`	1.000	0.000
rs3763312 lBF = `361.447` Chr`6` : `32,376,348`	1.000	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.000	1.000
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	1.000	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.000	1.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	0.000	1.000
rs3129891 lBF = `352.967` Chr`6` : `32,415,080`	0.000	1.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	1.000	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	1.000	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	1.000	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	1.000	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	1.000	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	1.000	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	1.000	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	1.000	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	1.000	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.000	1.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.000	1.000
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	1.000	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	1.000	0.000
rs9268557 lBF = `330.425` Chr`6` : `32,389,305`	1.000	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	1.000	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.000	1.000
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	1.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.000	1.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.000	1.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.000	1.000
rs9268560 lBF = `325.75` Chr`6` : `32,389,512`	0.000	1.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.000	1.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.000	1.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	1.000	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.000	1.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	1.000	0.000
rs1612904 lBF = `312.612` Chr`6` : `32,669,018`	0.000	1.000
rs4410767 lBF = `309.439` Chr`6` : `32,448,129`	1.000	0.000
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	1.000	0.000
rs12194148 lBF = `308.912` Chr`6` : `32,444,198`	1.000	0.000
rs9378212 lBF = `308.89` Chr`6` : `32,445,691`	1.000	0.000
rs3135395 lBF = `306.183` Chr`6` : `32,405,192`	0.000	1.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	1.000	0.000
Affx-28475675 lBF = `305.306` Chr`6` : `32,429,594`	0.000	1.000
rs9271348 lBF = `305.289` Chr`6` : `32,583,742`	1.000	0.000
rs3135335 lBF = `304.942` Chr`6` : `32,401,845`	0.000	1.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	1.000	0.000
rs9275596 lBF = `302.815` Chr`6` : `32,681,631`	0.000	1.000
rs9268877 lBF = `301.004` Chr`6` : `32,431,147`	0.000	1.000
rs984778 lBF = `300.859` Chr`6` : `32,400,088`	0.000	1.000
rs5026743 lBF = `300.008` Chr`6` : `32,439,964`	0.000	1.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	1.000	0.000
rs3135338 lBF = `297.666` Chr`6` : `32,401,217`	0.000	1.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	1.000	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	1.000	0.000
rs2858310 lBF = `295.324` Chr`6` : `32,668,323`	1.000	0.000
rs2647012 lBF = `294.334` Chr`6` : `32,664,458`	0.000	1.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	1.000	0.000
rs2647046 lBF = `293.701` Chr`6` : `32,668,336`	0.000	1.000
rs2858324 lBF = `293.404` Chr`6` : `32,660,375`	0.000	1.000
rs4273729 lBF = `292.848` Chr`6` : `32,678,597`	1.000	0.000
rs9275524 lBF = `292.625` Chr`6` : `32,675,109`	0.000	1.000
rs2856717 lBF = `292.518` Chr`6` : `32,670,308`	0.000	1.000
rs2395166 lBF = `291.927` Chr`6` : `32,388,275`	0.000	1.000
rs2647003 lBF = `291.553` Chr`6` : `32,664,880`	0.000	1.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.000	1.000
rs29001568 lBF = `291.101` Chr`6` : `32,447,341`	1.000	0.000
rs3129867 lBF = `289.989` Chr`6` : `32,404,220`	0.000	1.000
rs4321864 lBF = `289.858` Chr`6` : `32,399,187`	1.000	0.000
rs9271588 lBF = `289.695` Chr`6` : `32,590,953`	0.000	1.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.000	1.000
rs9275572 lBF = `289.208` Chr`6` : `32,678,999`	0.000	1.000
rs2858305 lBF = `288.777` Chr`6` : `32,670,464`	0.000	1.000
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	1.000	0.000
rs3129882 lBF = `286.214` Chr`6` : `32,409,530`	0.000	1.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.000	1.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.000	1.000
rs7763262 lBF = `276.605` Chr`6` : `32,424,882`	1.000	0.000
rs3129883 lBF = `273.029` Chr`6` : `32,410,137`	0.000	1.000
rs3129886 lBF = `272.418` Chr`6` : `32,410,576`	0.000	1.000
rs9268835 lBF = `269.889` Chr`6` : `32,428,115`	1.000	0.000
rs9268833 lBF = `269.572` Chr`6` : `32,428,062`	1.000	0.000
rs2187818 lBF = `269.42` Chr`6` : `32,395,568`	1.000	0.000
rs9268589 lBF = `268.355` Chr`6` : `32,398,202`	1.000	0.000
rs7773756 lBF = `268.297` Chr`6` : `32,402,464`	1.000	0.000
rs9268615 lBF = `268.224` Chr`6` : `32,402,889`	1.000	0.000
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	0.000	1.000
rs9268657 lBF = `267.525` Chr`6` : `32,409,656`	1.000	0.000
rs9268645 lBF = `267.026` Chr`6` : `32,408,527`	1.000	0.000
rs9268301 lBF = `266.74` Chr`6` : `32,319,637`	1.000	0.000
rs3763327 lBF = `262.587` Chr`6` : `32,413,830`	0.000	1.000
rs7194 lBF = `262.474` Chr`6` : `32,412,480`	0.000	1.000
rs7192 lBF = `262.343` Chr`6` : `32,411,646`	0.000	1.000
rs2227139 lBF = `262.066` Chr`6` : `32,413,459`	0.000	1.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.000	1.000
rs14004 lBF = `260.821` Chr`6` : `32,407,709`	1.000	0.000
rs2213586 lBF = `260.512` Chr`6` : `32,413,094`	0.000	1.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	0.000	1.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.000	1.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	1.000	0.000
rs9269831 lBF = `259.034` Chr`6` : `32,550,012`	0.000	1.000
rs7756262 lBF = `257.891` Chr`6` : `32,398,675`	1.000	0.000
rs7195 lBF = `257.422` Chr`6` : `32,412,539`	0.000	1.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	1.000	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.000	1.000
rs9268528 lBF = `257.05` Chr`6` : `32,383,108`	1.000	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.000	1.000
rs7759742 lBF = `255.818` Chr`6` : `32,381,736`	1.000	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.000	1.000
rs9275555 lBF = `255.458` Chr`6` : `32,677,088`	1.000	0.000
rs9268556 lBF = `255.394` Chr`6` : `32,386,964`	1.000	0.000
rs9268542 lBF = `254.807` Chr`6` : `32,384,721`	1.000	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	0.000	1.000
rs115317719 lBF = `253.324` Chr`6` : `32,412,005`	0.000	1.000
rs28724008 lBF = `253.172` Chr`6` : `32,550,550`	1.000	0.000
Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	1.000	0.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	1.000	0.000
rs3208409 lBF = `252.426` Chr`6` : `32,546,696`	1.000	0.000
rs28366302 lBF = `252.399` Chr`6` : `32,560,934`	1.000	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	0.000	1.000
rs3135382 lBF = `251.263` Chr`6` : `32,383,441`	0.000	1.000
rs644045 lBF = `251.092` Chr`6` : `31,883,957`	0.000	1.000
rs6923504 lBF = `250.735` Chr`6` : `32,428,186`	0.000	1.000
rs9269081 lBF = `250.357` Chr`6` : `32,441,100`	0.000	1.000
rs2239806 lBF = `250.007` Chr`6` : `32,411,307`	0.000	1.000
rs9268969 lBF = `249.147` Chr`6` : `32,434,349`	1.000	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	1.000	0.000
rs9268853 lBF = `248.885` Chr`6` : `32,429,643`	1.000	0.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	1.000	0.000
rs9268905 lBF = `248.25` Chr`6` : `32,432,077`	1.000	0.000
rs6926737 lBF = `247.282` Chr`6` : `32,375,745`	0.000	1.000
rs34839759 lBF = `247.024` Chr`6` : `32,546,557`	1.000	0.000
rs3819720 lBF = `246.694` Chr`6` : `32,804,570`	1.000	0.000
rs5007259 lBF = `246.316` Chr`6` : `32,379,101`	0.000	1.000
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	1.000	0.000
rs9268507 lBF = `245.958` Chr`6` : `32,377,539`	0.000	1.000
rs5007263 lBF = `245.895` Chr`6` : `32,378,982`	0.000	1.000
rs5007265 lBF = `245.726` Chr`6` : `32,378,866`	0.000	1.000
rs5007258 lBF = `245.663` Chr`6` : `32,379,239`	0.000	1.000
rs113529884 lBF = `245.207` Chr`6` : `32,553,828`	0.000	1.000
rs9268633 lBF = `244.242` Chr`6` : `32,406,473`	0.000	1.000
rs9275399 lBF = `243.294` Chr`6` : `32,669,712`	1.000	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	1.000	0.000
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.000	1.000
rs546857 lBF = `242.049` Chr`6` : `32,289,240`	1.000	0.000
rs560505 lBF = `241.751` Chr`6` : `32,261,771`	1.000	0.000
rs477005 lBF = `241.632` Chr`6` : `32,270,500`	1.000	0.000
rs9268606 lBF = `241.581` Chr`6` : `32,400,070`	1.000	0.000
rs9275390 lBF = `241.559` Chr`6` : `32,669,156`	1.000	0.000
rs9275388 lBF = `241.462` Chr`6` : `32,669,084`	1.000	0.000
rs9275406 lBF = `241.305` Chr`6` : `32,669,955`	1.000	0.000
rs761187 lBF = `241.193` Chr`6` : `32,318,036`	1.000	0.000
rs9275418 lBF = `240.862` Chr`6` : `32,670,244`	1.000	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	1.000	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	1.000	0.000
rs9275371 lBF = `239.231` Chr`6` : `32,668,296`	1.000	0.000
rs9275375 lBF = `239.212` Chr`6` : `32,668,632`	1.000	0.000
rs9275440 lBF = `239.189` Chr`6` : `32,671,596`	1.000	0.000
Affx-28471303 lBF = `238.022` Chr`6` : `32,295,357`	1.000	0.000
rs9275407 lBF = `237.54` Chr`6` : `32,670,037`	1.000	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.000	1.000
rs9380290 lBF = `237.099` Chr`6` : `32,301,452`	1.000	0.000
rs6929776 lBF = `236.948` Chr`6` : `32,303,511`	1.000	0.000
rs2395153 lBF = `236.625` Chr`6` : `32,345,595`	1.000	0.000
rs2076540 lBF = `236.393` Chr`6` : `32,317,276`	1.000	0.000
rs9268402 lBF = `236.258` Chr`6` : `32,341,353`	0.000	1.000
rs9366793 lBF = `236.252` Chr`6` : `32,301,289`	1.000	0.000
rs3891175 lBF = `236.205` Chr`6` : `32,634,467`	0.000	1.000
rs525607 lBF = `236.083` Chr`6` : `32,292,084`	1.000	0.000
rs9348881 lBF = `236.064` Chr`6` : `32,296,842`	1.000	0.000
rs9272226 lBF = `235.986` Chr`6` : `32,602,396`	1.000	0.000
rs910052 lBF = `235.906` Chr`6` : `32,299,873`	1.000	0.000
rs2143465 lBF = `235.869` Chr`6` : `32,309,352`	1.000	0.000
rs2022534 lBF = `235.731` Chr`6` : `32,307,137`	1.000	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.000	1.000
rs9357140 lBF = `235.704` Chr`6` : `32,301,514`	1.000	0.000
rs1033500 lBF = `235.443` Chr`6` : `32,307,382`	1.000	0.000
rs9268384 lBF = `235.249` Chr`6` : `32,336,586`	1.000	0.000
rs2022533 lBF = `234.991` Chr`6` : `32,307,260`	1.000	0.000
rs547077 lBF = `234.953` Chr`6` : `32,289,318`	1.000	0.000
rs8084 lBF = `234.883` Chr`6` : `32,411,035`	0.000	1.000
rs9348882 lBF = `234.801` Chr`6` : `32,301,322`	1.000	0.000
rs9274623 lBF = `234.77` Chr`6` : `32,635,998`	0.000	1.000
rs544358 lBF = `234.727` Chr`6` : `32,273,158`	1.000	0.000
rs1555117 lBF = `234.559` Chr`6` : `32,311,148`	1.000	0.000
rs552339 lBF = `234.514` Chr`6` : `32,292,715`	1.000	0.000
rs574710 lBF = `234.496` Chr`6` : `32,288,190`	1.000	0.000
rs4576282 lBF = `234.34` Chr`6` : `32,312,796`	1.000	0.000
rs9268132 lBF = `234.314` Chr`6` : `32,254,654`	1.000	0.000
rs973037 lBF = `234.248` Chr`6` : `32,305,125`	1.000	0.000
rs2076541 lBF = `234.121` Chr`6` : `32,317,215`	1.000	0.000
rs2073046 lBF = `234.117` Chr`6` : `32,336,074`	1.000	0.000
rs1474728 lBF = `233.932` Chr`6` : `32,302,067`	1.000	0.000
rs4959093 lBF = `233.902` Chr`6` : `32,313,097`	1.000	0.000
rs10807100 lBF = `233.846` Chr`6` : `32,303,068`	1.000	0.000
rs9268284 lBF = `233.757` Chr`6` : `32,315,216`	1.000	0.000
rs9268368 lBF = `233.695` Chr`6` : `32,333,955`	1.000	0.000
rs9268659 lBF = `233.674` Chr`6` : `32,410,941`	0.000	1.000
rs742582 lBF = `233.643` Chr`6` : `32,299,715`	1.000	0.000
rs4959094 lBF = `233.503` Chr`6` : `32,313,136`	1.000	0.000
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rs6926374 lBF = `161.774` Chr`6` : `32,409,305`	1.000	0.000
rs1585891 lBF = `160.611` Chr`6` : `32,736,722`	1.000	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.000	1.000
rs2239804 lBF = `160.308` Chr`6` : `32,411,523`	1.000	0.000
rs6911419 lBF = `160.092` Chr`6` : `32,409,787`	1.000	0.000
rs3132940 lBF = `160.057` Chr`6` : `32,161,396`	0.000	1.000
rs3131621 lBF = `160.035` Chr`6` : `31,425,499`	1.000	0.000
rs1015575 lBF = `159.837` Chr`6` : `32,738,115`	1.000	0.000
rs6931646 lBF = `159.643` Chr`6` : `32,409,781`	1.000	0.000
rs2239701 lBF = `159.351` Chr`6` : `32,805,049`	1.000	0.000
rs75730897 lBF = `159.346` Chr`6` : `32,006,886`	1.000	0.000
rs3130279 lBF = `158.281` Chr`6` : `32,112,626`	0.000	1.000
rs2857212 lBF = `158.085` Chr`6` : `32,740,411`	1.000	0.000
rs185819 lBF = `157.815` Chr`6` : `32,050,067`	1.000	0.000
rs1044506 lBF = `157.763` Chr`6` : `32,172,065`	0.000	1.000
rs6936428 lBF = `157.66` Chr`6` : `32,739,174`	1.000	0.000
rs3130283 lBF = `157.559` Chr`6` : `32,138,545`	0.000	1.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.000	1.000
rs3117181 lBF = `157.029` Chr`6` : `32,071,017`	1.000	0.000
rs3132946 lBF = `156.439` Chr`6` : `32,190,028`	0.000	1.000
rs3130906 lBF = `155.783` Chr`6` : `31,425,181`	1.000	0.000
rs9268644 lBF = `155.635` Chr`6` : `32,408,044`	0.000	1.000
rs2239689 lBF = `154.466` Chr`6` : `32,030,284`	1.000	0.000
rs41268896 lBF = `154.196` Chr`6` : `32,070,069`	1.000	0.000
Affx-37072118 lBF = `153.868` Chr`6` : `32,629,809`	1.000	0.000
rs9268831 lBF = `153.86` Chr`6` : `32,427,748`	1.000	0.000
rs6902493 lBF = `153.24` Chr`6` : `32,022,898`	1.000	0.000
rs2857009 lBF = `153.023` Chr`6` : `32,019,746`	1.000	0.000
rs3130342 lBF = `152.971` Chr`6` : `32,080,146`	0.000	1.000
rs17207951 lBF = `152.669` Chr`6` : `32,050,653`	1.000	0.000
rs76250508 lBF = `152.376` Chr`6` : `32,010,272`	1.000	0.000
rs2844458 lBF = `152.307` Chr`6` : `31,851,469`	1.000	0.000
rs2071295 lBF = `152.268` Chr`6` : `32,038,700`	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 X0254

log Bayes Factor = 16.9606

contains 2 variants

1.0000

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.9792

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

1.0000

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

1.0000

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

1.0000

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

1.0000

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

1.0000

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

1.0000

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

1.0000

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

1.0000

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

1.0000

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

1.0000

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9999

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.9999

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9999

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9998

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9998

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9998

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9998

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9998

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9997

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9996

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9996

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9996

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9996

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9994

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9994

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.9994

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9993

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9993

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9992

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9992

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9992

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9990

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9989

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9989

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9987

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9986

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9986

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9981

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9980

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9980

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9977

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.9972

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9971

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9970

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9963

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9961

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9948

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9936

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9924

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9924

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9920

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9919

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9909

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9907

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9890

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9890

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9874

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9858

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9846

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9842

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9808

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9792

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9785

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9765

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9739

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9738

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9693

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9692

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9685

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9678

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9639

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9637

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9615

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9606

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9469

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9457

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9360

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9326

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9308

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9263

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9242

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9097

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9076

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9049

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8991

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8954

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8889

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8871

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8755

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8717

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8707

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8600

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8539

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8519

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8471

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8405

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8380

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8212

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8190

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7942

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7870

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7807

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7738

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7682

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7615

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7353

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7318

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7149

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6782

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6760

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6717

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6534

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6503

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6387

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6342

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6244

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5905

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5904

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5688

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5631

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5529

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5266

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5144

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5087

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5061

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4875

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4862

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4784

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4709

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4656

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4514

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4157

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4111

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4013

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3801

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3788

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3769

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3756

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3696

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3665

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3407

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3388

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3361

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.3326

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3224

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3142

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2980

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2880

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2643

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2389

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2374

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2250

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2219

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2148

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2033

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1918

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1897

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1662

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1624

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1614

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1503

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1408

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1332

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1328

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1319

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1216

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1175

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1078

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1069

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1020

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0849

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0826

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0781

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0656

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0622

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0511

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`)