TreeWAS – [N06.5] Diffuse mesangiocapillary glomerulonephritis

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
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.514	0.486	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.514	0.486	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.514	0.486	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.514	0.486	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.514	0.486	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.514	0.486	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.514	0.486	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.514	0.486	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.514	0.486	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.514	0.486	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.514	0.486	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.514	0.486	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.514	0.486	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.514	0.486	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.514	0.486	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.514	0.486	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.514	0.486	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.514	0.486	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.514	0.486	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.514	0.486	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.514	0.486	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.514	0.486	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.514	0.486	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.514	0.486	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.514	0.486	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.514	0.486	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.514	0.486	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.514	0.486	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.514	0.486	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.514	0.486	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.514	0.486	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.514	0.486	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.514	0.486	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.514	0.486	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.514	0.486	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.514	0.486	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.514	0.486	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.514	0.486	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.514	0.486	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.514	0.486	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.514	0.486	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.514	0.486	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.514	0.486	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.514	0.486	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.514	0.486	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.514	0.486	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.514	0.486	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.514	0.486	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.514	0.486	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.514	0.486	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.514	0.486	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.514	0.486	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.514	0.486	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.514	0.486	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.514	0.486	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.514	0.486	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.514	0.486	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.514	0.486	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.514	0.486	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.514	0.486	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.514	0.486	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.514	0.486	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.514	0.486	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.514	0.486	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.514	0.486	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.514	0.486	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.514	0.486	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.514	0.486	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.514	0.486	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.514	0.486	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.514	0.486	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.514	0.486	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.514	0.486	0.000
rs3134605 lBF = `121.175` Chr`6` : `32,159,956`	0.514	0.486	0.000
rs3132947 lBF = `120.316` Chr`6` : `32,176,782`	0.514	0.486	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.514	0.486	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.514	0.486	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.514	0.486	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	0.514	0.486	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.514	0.486	0.000
rs5004277 lBF = `99.9987` Chr`6` : `32,582,354`	0.514	0.486	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.514	0.486	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.514	0.486	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.514	0.486	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.514	0.486	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.514	0.486	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.514	0.486	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.514	0.486	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.514	0.486	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.514	0.486	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.514	0.486	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.514	0.486	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.514	0.486	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.514	0.486	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.514	0.486	0.000
rs9274623 lBF = `234.77` Chr`6` : `32,635,998`	0.514	0.486	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.514	0.486	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.514	0.486	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.514	0.486	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.514	0.486	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.514	0.486	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.514	0.486	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.514	0.486	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.514	0.486	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.514	0.486	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.514	0.486	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.514	0.486	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.514	0.486	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.514	0.486	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.514	0.486	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.514	0.486	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.514	0.486	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	0.514	0.486	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	0.514	0.486	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.514	0.486	0.000
rs1003879 lBF = `218.353` Chr`6` : `32,299,592`	0.514	0.486	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.514	0.486	0.000
rs9275601 lBF = `161.644` Chr`6` : `32,682,664`	0.514	0.486	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.514	0.486	0.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.514	0.486	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.486	0.514
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.514	0.486	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.514	0.486	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.514	0.486	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.514	0.486	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.514	0.486	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.514	0.486	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.514	0.486	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.514	0.486	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.514	0.486	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	0.514	0.486	0.000
rs9269831 lBF = `259.034` Chr`6` : `32,550,012`	0.514	0.486	0.000
rs1043618 lBF = `248.587` Chr`6` : `31,783,507`	0.514	0.486	0.000
rs3891175 lBF = `236.205` Chr`6` : `32,634,467`	0.514	0.486	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.514	0.486	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.514	0.486	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.514	0.486	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.514	0.486	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.514	0.486	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.514	0.486	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.514	0.486	0.000
rs113529884 lBF = `245.207` Chr`6` : `32,553,828`	0.514	0.486	0.000
rs204995 lBF = `73.8651` Chr`6` : `32,154,285`	0.514	0.486	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.514	0.486	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.514	0.486	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.514	0.486	0.000
rs9276606 lBF = `193.378` Chr`6` : `32,736,695`	0.514	0.486	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.514	0.486	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.514	0.486	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.514	0.486	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.514	0.486	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.514	0.486	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.514	0.486	0.000
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	0.486	0.514
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.514	0.486	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.514	0.486	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.514	0.486	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.514	0.486	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.486	0.514
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.514	0.486	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.514	0.486	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.514	0.486	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.514	0.486	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.514	0.486	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.514	0.486	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.514	0.486	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.514	0.486	0.000
rs3134944 lBF = `102.616` Chr`6` : `32,146,644`	0.514	0.486	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.513	0.486	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.513	0.486	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.513	0.486	0.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.486	0.513
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.513	0.486	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.513	0.486	0.000
rs3131297 lBF = `98.8204` Chr`6` : `32,141,005`	0.513	0.486	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.486	0.513
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.513	0.486	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.486	0.513
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.513	0.486	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.513	0.486	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.486	0.513
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.513	0.487	0.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	0.487	0.513
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.513	0.487	0.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.487	0.513
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.513	0.487	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.513	0.487	0.000
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.513	0.487	0.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.487	0.513
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.487	0.513
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.513	0.487	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.513	0.487	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.513	0.487	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	0.487	0.513
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.513	0.487	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.513	0.487	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.513	0.487	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.513	0.487	0.000
rs3132505 lBF = `293.157` Chr`6` : `31,177,503`	0.512	0.487	0.000
rs3131036 lBF = `180.885` Chr`6` : `30,728,290`	0.512	0.487	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.512	0.487	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.512	0.487	0.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	0.512	0.487	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.512	0.487	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.512	0.487	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.512	0.488	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.512	0.488	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.512	0.488	0.000
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.512	0.488	0.000
rs1150765 lBF = `304.593` Chr`6` : `31,127,562`	0.512	0.488	0.000
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Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.510	0.490	0.000
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rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.509	0.491	0.000
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rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.509	0.491	0.000
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rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.485	0.515	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.485	0.515	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.485	0.515	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.484	0.516	0.000
rs9268197 lBF = `84.1219` Chr`6` : `32,277,934`	0.484	0.516	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.484	0.516	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.483	0.516	0.000
rs2050190 lBF = `201.518` Chr`6` : `32,339,076`	0.483	0.516	0.000
rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	0.000	0.516	0.483
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.483	0.517	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.483	0.517	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.483	0.517	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.483	0.517	0.000
rs3132931 lBF = `84.3484` Chr`6` : `32,235,895`	0.482	0.517	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.482	0.518	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.482	0.518	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.482	0.518	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.482	0.518	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.482	0.518	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.482	0.518	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.481	0.518	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.481	0.519	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.481	0.519	0.000
rs1264702 lBF = `125.644` Chr`6` : `30,065,575`	0.480	0.519	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.480	0.519	0.000
rs1383261 lBF = `177.515` Chr`6` : `32,765,451`	0.480	0.519	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.480	0.520	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.480	0.520	0.000
rs1576 lBF = `215.338` Chr`6` : `31,110,391`	0.480	0.520	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.480	0.520	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.480	0.520	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.480	0.520	0.000
rs2239806 lBF = `250.007` Chr`6` : `32,411,307`	0.479	0.520	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.479	0.520	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.479	0.520	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.479	0.521	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.479	0.521	0.000
rs2157338 lBF = `85.9562` Chr`6` : `32,439,323`	0.479	0.521	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.478	0.521	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.478	0.521	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.478	0.521	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.478	0.522	0.000
rs1265114 lBF = `217.1` Chr`6` : `31,117,188`	0.478	0.522	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.477	0.522	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.477	0.523	0.000
rs746647 lBF = `217.115` Chr`6` : `31,114,182`	0.477	0.523	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.477	0.523	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.476	0.523	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.476	0.523	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.476	0.524	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.476	0.524	0.000
rs1610601 lBF = `101.389` Chr`6` : `29,700,183`	0.476	0.524	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.476	0.524	0.000
rs6934429 lBF = `84.5686` Chr`6` : `32,279,622`	0.476	0.524	0.000
rs9275698 lBF = `38.0121` Chr`6` : `32,687,973`	0.475	0.524	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.475	0.524	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.475	0.525	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.475	0.525	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.475	0.525	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	0.475	0.525	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.474	0.525	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.474	0.525	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.474	0.526	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.474	0.526	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.474	0.526	0.000
rs9268165 lBF = `78.52` Chr`6` : `32,272,327`	0.473	0.527	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	0.473	0.527	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.473	0.527	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.473	0.527	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.473	0.527	0.000
rs6457536 lBF = `82.0453` Chr`6` : `32,273,765`	0.473	0.527	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.472	0.528	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.472	0.528	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.472	0.528	0.000
rs77501456 lBF = `260.985` Chr`6` : `32,523,627`	0.000	0.528	0.472
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.471	0.529	0.000
rs1264697 lBF = `126.609` Chr`6` : `30,067,568`	0.471	0.529	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.471	0.529	0.000
rs3117122 lBF = `145.115` Chr`6` : `32,316,604`	0.471	0.529	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.470	0.530	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.470	0.530	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.470	0.530	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.470	0.530	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.470	0.530	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2924

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2359

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5140

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5140

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5140

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5140

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5140

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5139

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5139

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5139

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5139

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5139

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.5139

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5139

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5138

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5138

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5137

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5137

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5137

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5136

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5135

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5134

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5134

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5133

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5133

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5132

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5131

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5131

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5129

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5126

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5125

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5124

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5123

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5121

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5121

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5120

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5120

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5119

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5119

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5117

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5110

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5107

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5105

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5104

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5098

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5097

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5095

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5089

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5082

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5081

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5076

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5074

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5073

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5070

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5066

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5058

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5057

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5055

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5032

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5029

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5028

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5011

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5008

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5004

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4991

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4989

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4987

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4984

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4970

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4966

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4958

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4954

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4950

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4919

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4908

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4901

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4899

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4893

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4885

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4854

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4819

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4793

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4791

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4787

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4779

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4776

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4746

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4746

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4681

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4637

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4635

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4632

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4581

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4567

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4558

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4544

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4452

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4419

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4383

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4346

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4335

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4306

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4303

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4209

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4178

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4159

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4117

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4078

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4071

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3978

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3933

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3797

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3752

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3732

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3717

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3697

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3676

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3569

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3425

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3416

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3387

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3285

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3277

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3209

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3195

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3011

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2983

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2760

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2752

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2728

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2580

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2484

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2336

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2260

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.2200

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1958

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1837

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1780

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.1721

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1586

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1402

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1286

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1271

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1066

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0843

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0820

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0764

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0562

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0531

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`)