TreeWAS – [M06.99] Rheumatoid arthritis, unspecified (Site 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
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
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
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
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	1.000	0.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	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
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
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	1.000
rs9268560 lBF = `325.75` Chr`6` : `32,389,512`	0.000	1.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	1.000	0.000
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
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
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
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
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
rs9268285 lBF = `233.331` Chr`6` : `32,315,557`	1.000	0.000
rs547261 lBF = `233.198` Chr`6` : `32,282,033`	1.000	0.000
rs505274 lBF = `233.162` Chr`6` : `32,294,992`	1.000	0.000
rs539703 lBF = `233.093` Chr`6` : `32,288,462`	1.000	0.000
rs9405090 lBF = `232.861` Chr`6` : `32,298,372`	1.000	0.000
rs926594 lBF = `232.853` Chr`6` : `32,305,370`	1.000	0.000
rs4959026 lBF = `232.702` Chr`6` : `32,313,461`	1.000	0.000
rs926591 lBF = `232.583` Chr`6` : `32,305,690`	1.000	0.000
rs4959096 lBF = `232.471` Chr`6` : `32,314,676`	1.000	0.000
rs4959025 lBF = `232.327` Chr`6` : `32,313,143`	1.000	0.000
rs2395165 lBF = `231.325` Chr`6` : `32,388,144`	0.000	1.000
rs485774 lBF = `231.133` Chr`6` : `32,290,954`	1.000	0.000
rs4713518 lBF = `231.079` Chr`6` : `32,257,337`	1.000	0.000
rs482194 lBF = `230.879` Chr`6` : `32,260,559`	1.000	0.000
rs3135377 lBF = `230.633` Chr`6` : `32,385,399`	0.000	1.000
rs2157337 lBF = `230.266` Chr`6` : `32,501,144`	0.000	1.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	1.000	0.000
rs4959027 lBF = `230.102` Chr`6` : `32,383,050`	0.000	1.000
rs3135365 lBF = `229.562` Chr`6` : `32,389,255`	0.000	1.000
rs9271366 lBF = `229.528` Chr`6` : `32,586,854`	1.000	0.000
rs6936204 lBF = `229.057` Chr`6` : `32,217,092`	0.000	1.000
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rs494620 lBF = `132.163` Chr`6` : `31,838,713`	1.000	0.000
rs9272105 lBF = `131.969` Chr`6` : `32,599,999`	0.000	1.000
rs9271720 lBF = `131.714` Chr`6` : `32,593,507`	0.000	1.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.000	1.000
rs9272116 lBF = `128.058` Chr`6` : `32,600,404`	0.000	1.000
rs2227956 lBF = `126.303` Chr`6` : `31,778,272`	0.000	1.000
rs6941112 lBF = `125.599` Chr`6` : `31,946,614`	1.000	0.000
rs9276189 lBF = `125.536` Chr`6` : `32,699,325`	0.000	1.000
rs614549 lBF = `120.901` Chr`6` : `31,840,625`	1.000	0.000
rs805262 lBF = `120.532` Chr`6` : `31,628,733`	1.000	0.000
rs4713505 lBF = `118.371` Chr`6` : `32,105,001`	1.000	0.000
rs241427 lBF = `118.19` Chr`6` : `32,804,414`	0.000	1.000
rs2228628 lBF = `117.59` Chr`6` : `32,088,854`	1.000	0.000
rs805297 lBF = `117.122` Chr`6` : `31,622,606`	1.000	0.000
rs5872 lBF = `117.069` Chr`6` : `31,637,734`	1.000	0.000
rs755714 lBF = `116.607` Chr`6` : `31,609,813`	1.000	0.000
rs2857698 lBF = `116.214` Chr`6` : `31,585,084`	1.000	0.000
rs8111 lBF = `115.702` Chr`6` : `32,083,175`	1.000	0.000
rs2736176 lBF = `115.333` Chr`6` : `31,587,561`	1.000	0.000
rs707919 lBF = `115.259` Chr`6` : `31,641,139`	1.000	0.000
rs9267803 lBF = `115.2` Chr`6` : `32,101,762`	1.000	0.000
rs2844452 lBF = `114.266` Chr`6` : `31,882,024`	1.000	0.000
rs2858333 lBF = `114.203` Chr`6` : `32,681,085`	0.000	1.000
rs2647089 lBF = `113.847` Chr`6` : `32,681,568`	0.000	1.000
rs6935723 lBF = `113.539` Chr`6` : `32,681,669`	0.000	1.000
rs2647087 lBF = `113.528` Chr`6` : `32,681,049`	0.000	1.000
rs7745656 lBF = `113.272` Chr`6` : `32,680,970`	0.000	1.000
rs4713506 lBF = `113.227` Chr`6` : `32,113,980`	1.000	0.000
rs17212937 lBF = `111.386` Chr`6` : `32,681,339`	1.000	0.000
rs7764819 lBF = `111.178` Chr`6` : `32,680,576`	1.000	0.000
Affx-28502467 lBF = `110.795` Chr`6` : `32,681,645`	0.000	1.000
rs7765379 lBF = `110.484` Chr`6` : `32,680,928`	1.000	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	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

0.9825

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

1.0000

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

1.0000

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9998

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9998

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9995

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9994

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9994

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9991

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9989

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9976

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9956

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9953

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9935

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9866

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9856

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9850

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9842

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9838

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9736

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9675

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9640

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9343

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9203

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9148

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9001

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8871

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8846

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8765

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8666

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8654

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8507

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8320

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8175

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7872

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.7853

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7747

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7556

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7268

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7064

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7028

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6696

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6617

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6206

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6132

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5741

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5594

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4826

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4598

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4384

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3816

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3716

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3693

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3121

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3050

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2781

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2394

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2192

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2088

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2071

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1976

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1975

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1906

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1748

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1605

Cluster X0296

log Bayes Factor = 29.0493

contains 2 variants

0.1431

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1397

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1359

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1327

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1303

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1298

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1231

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1211

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1190

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1141

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1116

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1048

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0967

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0838

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0819

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0746

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0737

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0690

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0639

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0628

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0619

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0611

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0597

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0572

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0563

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`)