TreeWAS – [G35] Multiple sclerosis

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`	0.000	1.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	0.000	1.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	0.000	1.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.000	1.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	0.000	1.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	0.000	1.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.000	1.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	1.000	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.000	1.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.000	1.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	1.000	0.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	1.000	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	1.000	0.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	1.000	0.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	1.000	0.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	1.000	0.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	1.000	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	1.000	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	1.000	0.000
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	1.000	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	1.000	0.000
rs9268515 lBF = `390.149` Chr`6` : `32,379,295`	0.000	1.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.000	1.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	0.000	1.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.000	1.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	0.000	1.000
rs28361060 lBF = `366.643` Chr`6` : `32,303,848`	0.000	1.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	0.000	1.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	0.000	1.000
rs3763309 lBF = `364.621` Chr`6` : `32,375,973`	0.000	1.000
rs3793127 lBF = `363.437` Chr`6` : `32,371,915`	0.000	1.000
rs3763312 lBF = `361.447` Chr`6` : `32,376,348`	0.000	1.000
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	0.000	1.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	1.000	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.000	1.000
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	0.000	1.000
rs9268557 lBF = `330.425` Chr`6` : `32,389,305`	0.000	1.000
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	1.000	0.000
rs9268560 lBF = `325.75` Chr`6` : `32,389,512`	1.000	0.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	0.000	1.000
rs1612904 lBF = `312.612` Chr`6` : `32,669,018`	1.000	0.000
rs4410767 lBF = `309.439` Chr`6` : `32,448,129`	0.000	1.000
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	0.000	1.000
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
rs3135395 lBF = `306.183` Chr`6` : `32,405,192`	1.000	0.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	0.000	1.000
Affx-28475675 lBF = `305.306` Chr`6` : `32,429,594`	1.000	0.000
rs9271348 lBF = `305.289` Chr`6` : `32,583,742`	0.000	1.000
rs3135335 lBF = `304.942` Chr`6` : `32,401,845`	1.000	0.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	0.000	1.000
rs9275596 lBF = `302.815` Chr`6` : `32,681,631`	1.000	0.000
rs9268877 lBF = `301.004` Chr`6` : `32,431,147`	1.000	0.000
rs984778 lBF = `300.859` Chr`6` : `32,400,088`	1.000	0.000
rs5026743 lBF = `300.008` Chr`6` : `32,439,964`	1.000	0.000
rs3135338 lBF = `297.666` Chr`6` : `32,401,217`	1.000	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	0.000	1.000
rs2858310 lBF = `295.324` Chr`6` : `32,668,323`	0.000	1.000
rs2647012 lBF = `294.334` Chr`6` : `32,664,458`	1.000	0.000
rs2647046 lBF = `293.701` Chr`6` : `32,668,336`	1.000	0.000
rs2858324 lBF = `293.404` Chr`6` : `32,660,375`	1.000	0.000
rs4273729 lBF = `292.848` Chr`6` : `32,678,597`	0.000	1.000
rs9275524 lBF = `292.625` Chr`6` : `32,675,109`	1.000	0.000
rs2856717 lBF = `292.518` Chr`6` : `32,670,308`	1.000	0.000
rs2395166 lBF = `291.927` Chr`6` : `32,388,275`	1.000	0.000
rs2647003 lBF = `291.553` Chr`6` : `32,664,880`	1.000	0.000
rs9271414 lBF = `291.31` Chr`6` : `32,587,782`	1.000	0.000
rs29001568 lBF = `291.101` Chr`6` : `32,447,341`	0.000	1.000
rs3129867 lBF = `289.989` Chr`6` : `32,404,220`	1.000	0.000
rs4321864 lBF = `289.858` Chr`6` : `32,399,187`	0.000	1.000
rs9271588 lBF = `289.695` Chr`6` : `32,590,953`	1.000	0.000
rs9275572 lBF = `289.208` Chr`6` : `32,678,999`	1.000	0.000
rs2858305 lBF = `288.777` Chr`6` : `32,670,464`	1.000	0.000
rs3129882 lBF = `286.214` Chr`6` : `32,409,530`	1.000	0.000
rs3135344 lBF = `280.03` Chr`6` : `32,395,036`	1.000	0.000
rs7763262 lBF = `276.605` Chr`6` : `32,424,882`	0.000	1.000
rs3129883 lBF = `273.029` Chr`6` : `32,410,137`	1.000	0.000
rs3828840 lBF = `272.834` Chr`6` : `32,520,907`	0.000	1.000
rs3129886 lBF = `272.418` Chr`6` : `32,410,576`	1.000	0.000
rs9268835 lBF = `269.889` Chr`6` : `32,428,115`	0.000	1.000
rs9268833 lBF = `269.572` Chr`6` : `32,428,062`	0.000	1.000
rs2187818 lBF = `269.42` Chr`6` : `32,395,568`	0.000	1.000
rs9268589 lBF = `268.355` Chr`6` : `32,398,202`	0.000	1.000
rs7773756 lBF = `268.297` Chr`6` : `32,402,464`	0.000	1.000
rs9268615 lBF = `268.224` Chr`6` : `32,402,889`	0.000	1.000
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	1.000	0.000
rs9268657 lBF = `267.525` Chr`6` : `32,409,656`	0.000	1.000
rs9268645 lBF = `267.026` Chr`6` : `32,408,527`	0.000	1.000
rs9268301 lBF = `266.74` Chr`6` : `32,319,637`	0.000	1.000
rs1383264 lBF = `264.795` Chr`6` : `32,739,967`	1.000	0.000
rs72845730 lBF = `263.988` Chr`6` : `32,526,731`	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
rs2227139 lBF = `262.066` Chr`6` : `32,413,459`	1.000	0.000
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	0.000	1.000
rs9271060 lBF = `261.575` Chr`6` : `32,575,513`	0.000	1.000
rs9271192 lBF = `261.325` Chr`6` : `32,578,530`	0.000	1.000
rs77501456 lBF = `260.985` Chr`6` : `32,523,627`	1.000	0.000
rs14004 lBF = `260.821` Chr`6` : `32,407,709`	0.000	1.000
rs2213586 lBF = `260.512` Chr`6` : `32,413,094`	1.000	0.000
rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	1.000	0.000
rs7756262 lBF = `257.891` Chr`6` : `32,398,675`	0.000	1.000
rs7195 lBF = `257.422` Chr`6` : `32,412,539`	1.000	0.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	0.000	1.000
rs9268528 lBF = `257.05` Chr`6` : `32,383,108`	0.000	1.000
rs9271117 lBF = `255.979` Chr`6` : `32,576,795`	1.000	0.000
rs7759742 lBF = `255.818` Chr`6` : `32,381,736`	0.000	1.000
rs9269819 lBF = `255.668` Chr`6` : `32,549,782`	1.000	0.000
rs9268556 lBF = `255.394` Chr`6` : `32,386,964`	0.000	1.000
rs9268542 lBF = `254.807` Chr`6` : `32,384,721`	0.000	1.000
rs9270908 lBF = `254.18` Chr`6` : `32,572,148`	1.000	0.000
rs9270227 lBF = `253.321` Chr`6` : `32,556,699`	1.000	0.000
rs28724008 lBF = `253.172` Chr`6` : `32,550,550`	0.000	1.000
Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	0.000	1.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.000	1.000
rs3208409 lBF = `252.426` Chr`6` : `32,546,696`	0.000	1.000
rs28366302 lBF = `252.399` Chr`6` : `32,560,934`	0.000	1.000
rs2524054 lBF = `252.073` Chr`6` : `31,252,396`	0.000	1.000
rs9269861 lBF = `251.556` Chr`6` : `32,550,501`	1.000	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	1.000	0.000
rs644045 lBF = `251.092` Chr`6` : `31,883,957`	1.000	0.000
rs6923504 lBF = `250.735` Chr`6` : `32,428,186`	1.000	0.000
rs9269081 lBF = `250.357` Chr`6` : `32,441,100`	1.000	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	1.000	0.000
rs9268969 lBF = `249.147` Chr`6` : `32,434,349`	0.000	1.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	0.000	1.000
rs9268853 lBF = `248.885` Chr`6` : `32,429,643`	0.000	1.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	0.000	1.000
rs9268905 lBF = `248.25` Chr`6` : `32,432,077`	0.000	1.000
rs9271209 lBF = `247.836` Chr`6` : `32,579,035`	1.000	0.000
rs6926737 lBF = `247.282` Chr`6` : `32,375,745`	1.000	0.000
rs34839759 lBF = `247.024` Chr`6` : `32,546,557`	0.000	1.000
rs5007259 lBF = `246.316` Chr`6` : `32,379,101`	1.000	0.000
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	0.000	1.000
rs9268507 lBF = `245.958` Chr`6` : `32,377,539`	1.000	0.000
rs5007263 lBF = `245.895` Chr`6` : `32,378,982`	1.000	0.000
rs5007265 lBF = `245.726` Chr`6` : `32,378,866`	1.000	0.000
rs5007258 lBF = `245.663` Chr`6` : `32,379,239`	1.000	0.000
rs9268633 lBF = `244.242` Chr`6` : `32,406,473`	1.000	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	1.000	0.000
rs546857 lBF = `242.049` Chr`6` : `32,289,240`	0.000	1.000
rs560505 lBF = `241.751` Chr`6` : `32,261,771`	0.000	1.000
rs477005 lBF = `241.632` Chr`6` : `32,270,500`	0.000	1.000
rs9268606 lBF = `241.581` Chr`6` : `32,400,070`	0.000	1.000
rs761187 lBF = `241.193` Chr`6` : `32,318,036`	0.000	1.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	1.000	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	1.000	0.000
rs9469220 lBF = `239.257` Chr`6` : `32,658,310`	0.000	1.000
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	1.000	0.000
Affx-28471303 lBF = `238.022` Chr`6` : `32,295,357`	0.000	1.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	1.000	0.000
rs9380290 lBF = `237.099` Chr`6` : `32,301,452`	0.000	1.000
rs6929776 lBF = `236.948` Chr`6` : `32,303,511`	0.000	1.000
rs2395153 lBF = `236.625` Chr`6` : `32,345,595`	0.000	1.000
rs2076540 lBF = `236.393` Chr`6` : `32,317,276`	0.000	1.000
rs9268402 lBF = `236.258` Chr`6` : `32,341,353`	1.000	0.000
rs9366793 lBF = `236.252` Chr`6` : `32,301,289`	0.000	1.000
rs525607 lBF = `236.083` Chr`6` : `32,292,084`	0.000	1.000
rs9348881 lBF = `236.064` Chr`6` : `32,296,842`	0.000	1.000
rs9272226 lBF = `235.986` Chr`6` : `32,602,396`	1.000	0.000
rs910052 lBF = `235.906` Chr`6` : `32,299,873`	0.000	1.000
rs2143465 lBF = `235.869` Chr`6` : `32,309,352`	0.000	1.000
rs2022534 lBF = `235.731` Chr`6` : `32,307,137`	0.000	1.000
rs9357140 lBF = `235.704` Chr`6` : `32,301,514`	0.000	1.000
rs2524074 lBF = `235.669` Chr`6` : `31,244,021`	1.000	0.000
rs1033500 lBF = `235.443` Chr`6` : `32,307,382`	0.000	1.000
rs9268384 lBF = `235.249` Chr`6` : `32,336,586`	0.000	1.000
rs2022533 lBF = `234.991` Chr`6` : `32,307,260`	0.000	1.000
rs547077 lBF = `234.953` Chr`6` : `32,289,318`	0.000	1.000
rs8084 lBF = `234.883` Chr`6` : `32,411,035`	1.000	0.000
rs9348882 lBF = `234.801` Chr`6` : `32,301,322`	0.000	1.000
rs544358 lBF = `234.727` Chr`6` : `32,273,158`	0.000	1.000
rs1555117 lBF = `234.559` Chr`6` : `32,311,148`	0.000	1.000
rs552339 lBF = `234.514` Chr`6` : `32,292,715`	0.000	1.000
rs574710 lBF = `234.496` Chr`6` : `32,288,190`	0.000	1.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	1.000	0.000
rs4576282 lBF = `234.34` Chr`6` : `32,312,796`	0.000	1.000
rs9268132 lBF = `234.314` Chr`6` : `32,254,654`	0.000	1.000
rs973037 lBF = `234.248` Chr`6` : `32,305,125`	0.000	1.000
rs2076541 lBF = `234.121` Chr`6` : `32,317,215`	0.000	1.000
rs2073046 lBF = `234.117` Chr`6` : `32,336,074`	0.000	1.000
rs1474728 lBF = `233.932` Chr`6` : `32,302,067`	0.000	1.000
rs4959093 lBF = `233.902` Chr`6` : `32,313,097`	0.000	1.000
rs10807100 lBF = `233.846` Chr`6` : `32,303,068`	0.000	1.000
rs9268284 lBF = `233.757` Chr`6` : `32,315,216`	0.000	1.000
rs9268368 lBF = `233.695` Chr`6` : `32,333,955`	0.000	1.000
rs9268659 lBF = `233.674` Chr`6` : `32,410,941`	1.000	0.000
rs742582 lBF = `233.643` Chr`6` : `32,299,715`	0.000	1.000
rs4959094 lBF = `233.503` Chr`6` : `32,313,136`	0.000	1.000
rs9268285 lBF = `233.331` Chr`6` : `32,315,557`	0.000	1.000
rs547261 lBF = `233.198` Chr`6` : `32,282,033`	0.000	1.000
rs505274 lBF = `233.162` Chr`6` : `32,294,992`	0.000	1.000
rs440454 lBF = `233.155` Chr`6` : `31,927,342`	1.000	0.000
rs539703 lBF = `233.093` Chr`6` : `32,288,462`	0.000	1.000
rs9405090 lBF = `232.861` Chr`6` : `32,298,372`	0.000	1.000
rs926594 lBF = `232.853` Chr`6` : `32,305,370`	0.000	1.000
rs4959026 lBF = `232.702` Chr`6` : `32,313,461`	0.000	1.000
rs926591 lBF = `232.583` Chr`6` : `32,305,690`	0.000	1.000
rs4959096 lBF = `232.471` Chr`6` : `32,314,676`	0.000	1.000
rs4959025 lBF = `232.327` Chr`6` : `32,313,143`	0.000	1.000
rs2395165 lBF = `231.325` Chr`6` : `32,388,144`	1.000	0.000
rs6934041 lBF = `231.309` Chr`6` : `32,722,767`	0.000	1.000
rs485774 lBF = `231.133` Chr`6` : `32,290,954`	0.000	1.000
rs4713518 lBF = `231.079` Chr`6` : `32,257,337`	0.000	1.000
rs482194 lBF = `230.879` Chr`6` : `32,260,559`	0.000	1.000
rs3135377 lBF = `230.633` Chr`6` : `32,385,399`	1.000	0.000
rs4959027 lBF = `230.102` Chr`6` : `32,383,050`	1.000	0.000
rs3135365 lBF = `229.562` Chr`6` : `32,389,255`	1.000	0.000
rs9271366 lBF = `229.528` Chr`6` : `32,586,854`	0.000	1.000
rs6936204 lBF = `229.057` Chr`6` : `32,217,092`	1.000	0.000
rs5016066 lBF = `228.98` Chr`6` : `32,718,818`	0.000	1.000
rs537757 lBF = `228.568` Chr`6` : `32,268,501`	0.000	1.000
rs2239802 lBF = `227.934` Chr`6` : `32,411,846`	1.000	0.000
rs2395182 lBF = `227.918` Chr`6` : `32,413,317`	1.000	0.000
rs28693951 lBF = `227.27` Chr`6` : `32,714,732`	0.000	1.000
rs7774452 lBF = `226.509` Chr`6` : `32,723,869`	0.000	1.000
rs28420297 lBF = `226.372` Chr`6` : `32,714,760`	0.000	1.000
rs10807113 lBF = `226.27` Chr`6` : `32,722,186`	0.000	1.000
rs9273076 lBF = `225.981` Chr`6` : `32,612,301`	0.000	1.000
rs7756516 lBF = `225.809` Chr`6` : `32,723,917`	0.000	1.000
rs9270984 lBF = `225.558` Chr`6` : `32,573,991`	0.000	1.000
rs504203 lBF = `225.114` Chr`6` : `32,294,843`	0.000	1.000
rs6918223 lBF = `224.875` Chr`6` : `32,722,532`	0.000	1.000
rs531094 lBF = `224.495` Chr`6` : `32,286,102`	0.000	1.000
rs7770024 lBF = `224.328` Chr`6` : `32,723,341`	0.000	1.000
rs7769979 lBF = `224.17` Chr`6` : `32,723,572`	0.000	1.000
rs11758312 lBF = `223.434` Chr`6` : `32,716,372`	0.000	1.000
rs9271640 lBF = `222.488` Chr`6` : `32,592,200`	0.000	1.000
rs477515 lBF = `222.226` Chr`6` : `32,569,691`	0.000	1.000
rs3132958 lBF = `219.016` Chr`6` : `32,297,901`	1.000	0.000
rs12195582 lBF = `218.62` Chr`6` : `32,444,544`	0.000	1.000
rs3132959 lBF = `218.555` Chr`6` : `32,298,942`	1.000	0.000
rs3129941 lBF = `218.3` Chr`6` : `32,337,686`	1.000	0.000
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rs2736172 lBF = `151.609` Chr`6` : `31,590,898`	0.000	1.000
rs3869109 lBF = `151.496` Chr`6` : `31,184,196`	0.000	1.000
rs2858331 lBF = `151.08` Chr`6` : `32,681,277`	0.000	1.000
rs2857693 lBF = `151.044` Chr`6` : `31,588,384`	0.000	1.000
rs2260050 lBF = `150.815` Chr`6` : `31,591,928`	0.000	1.000
rs2844472 lBF = `150.594` Chr`6` : `31,589,676`	0.000	1.000
rs2260000 lBF = `150.509` Chr`6` : `31,593,476`	0.000	1.000
rs2736171 lBF = `150.484` Chr`6` : `31,595,487`	0.000	1.000
rs2071293 lBF = `149.718` Chr`6` : `32,062,687`	0.000	1.000
rs7887 lBF = `149.389` Chr`6` : `31,864,547`	0.000	1.000
rs2524095 lBF = `148.829` Chr`6` : `31,266,117`	1.000	0.000
rs3131283 lBF = `148.813` Chr`6` : `32,119,898`	1.000	0.000
rs2844477 lBF = `148.616` Chr`6` : `31,578,772`	0.000	1.000
rs7766862 lBF = `148.566` Chr`6` : `32,033,007`	0.000	1.000
rs9368737 lBF = `148.543` Chr`6` : `32,658,429`	0.000	1.000
rs2524156 lBF = `147.433` Chr`6` : `31,260,397`	1.000	0.000
rs3134954 lBF = `147.413` Chr`6` : `32,071,893`	1.000	0.000
rs3134943 lBF = `147.398` Chr`6` : `32,147,761`	1.000	0.000
rs3134603 lBF = `147.34` Chr`6` : `32,126,002`	1.000	0.000
rs429150 lBF = `147.155` Chr`6` : `32,075,563`	0.000	1.000
rs2647050 lBF = `146.729` Chr`6` : `32,669,767`	0.000	1.000
rs1800684 lBF = `146.577` Chr`6` : `32,151,994`	1.000	0.000
rs2853939 lBF = `146.056` Chr`6` : `31,250,642`	1.000	0.000
rs16898264 lBF = `146.028` Chr`6` : `32,677,152`	0.000	1.000
rs2856718 lBF = `145.895` Chr`6` : `32,670,255`	0.000	1.000
rs9368716 lBF = `145.244` Chr`6` : `32,306,090`	0.000	1.000
rs506770 lBF = `145.133` Chr`6` : `31,785,228`	1.000	0.000
rs3020644 lBF = `144.074` Chr`6` : `31,894,626`	0.000	1.000
rs2071277 lBF = `143.623` Chr`6` : `32,171,683`	0.000	1.000
rs2071287 lBF = `143.245` Chr`6` : `32,170,433`	0.000	1.000
rs17615250 lBF = `142.837` Chr`6` : `32,678,973`	0.000	1.000
rs2072632 lBF = `142.493` Chr`6` : `31,921,475`	0.000	1.000
rs3806157 lBF = `141.884` Chr`6` : `32,373,801`	0.000	1.000

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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.5926

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5234

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2129

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9998

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9932

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9823

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9769

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9713

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9464

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9375

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9299

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9293

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9262

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9258

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9128

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8874

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8513

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7970

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7837

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7707

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.7389

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7319

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7205

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7041

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7028

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6739

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6423

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6387

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6244

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5902

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5488

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5126

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4854

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4498

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4473

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4370

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3944

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3926

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3834

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3667

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3532

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3488

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2970

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2701

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2687

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2684

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2640

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2398

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1994

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1877

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1828

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1805

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1731

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1684

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1606

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1591

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1561

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1524

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1519

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1441

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1390

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1371

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1199

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1117

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1051

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1035

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0961

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0880

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0857

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0750

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0726

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0721

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0718

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0698

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0677

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0645

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0641

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0626

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0595

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0573

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0568

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`)