TreeWAS – [E83.1] Disorders of iron metabolism

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
rs2274089 lBF = `218.451` Chr`6` : `25,488,583`	1.000	0.000
rs13194491 lBF = `199.599` Chr`6` : `27,037,080`	1.000	0.000
rs17270561 lBF = `195.051` Chr`6` : `25,820,439`	1.000	0.000
rs932316 lBF = `191.79` Chr`6` : `25,641,200`	1.000	0.000
rs17586946 lBF = `190.611` Chr`6` : `25,939,053`	1.000	0.000
rs2009610 lBF = `187.24` Chr`6` : `25,967,068`	1.000	0.000
rs12192635 lBF = `186.477` Chr`6` : `25,880,907`	1.000	0.000
rs36085954 lBF = `173.469` Chr`6` : `26,354,464`	1.000	0.000
rs12216125 lBF = `172.493` Chr`6` : `25,997,458`	1.000	0.000
rs13194984 lBF = `167.608` Chr`6` : `26,500,563`	1.000	0.000
rs4712976 lBF = `167.346` Chr`6` : `25,842,203`	1.000	0.000
rs1408271 lBF = `159.154` Chr`6` : `25,859,621`	1.000	0.000
rs2070642 lBF = `154.741` Chr`6` : `25,831,212`	1.000	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	1.000	0.000
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.000	1.000
rs9467704 lBF = `146.867` Chr`6` : `26,319,486`	0.000	1.000
rs9467711 lBF = `146.775` Chr`6` : `26,332,605`	0.000	1.000
rs6942196 lBF = `145.03` Chr`6` : `26,072,804`	1.000	0.000
rs3752419 lBF = `145.03` Chr`6` : `26,027,433`	1.000	0.000
rs9358871 lBF = `144.708` Chr`6` : `25,726,675`	1.000	0.000
rs2051544 lBF = `144.665` Chr`6` : `26,071,093`	1.000	0.000
rs1800702 lBF = `144.135` Chr`6` : `26,086,463`	1.000	0.000
rs2794720 lBF = `143.374` Chr`6` : `26,087,202`	1.000	0.000
rs9366634 lBF = `143.263` Chr`6` : `26,072,396`	1.000	0.000
rs2794719 lBF = `142.558` Chr`6` : `26,088,890`	1.000	0.000
rs9295684 lBF = `140.762` Chr`6` : `26,069,669`	1.000	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.000	1.000
rs9295687 lBF = `139.841` Chr`6` : `26,082,710`	1.000	0.000
rs9348697 lBF = `139.351` Chr`6` : `25,890,834`	1.000	0.000
rs1979 lBF = `139.093` Chr`6` : `26,377,591`	0.000	1.000
rs9379818 lBF = `138.782` Chr`6` : `26,023,206`	1.000	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.000	1.000
rs9393708 lBF = `137.887` Chr`6` : `26,362,643`	0.000	1.000
rs9379859 lBF = `137.014` Chr`6` : `26,369,549`	0.000	1.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.000	1.000
rs9379855 lBF = `136.857` Chr`6` : `26,364,930`	0.000	1.000
rs35814746 lBF = `136.674` Chr`6` : `28,299,088`	1.000	0.000
rs603089 lBF = `136.506` Chr`6` : `25,877,970`	1.000	0.000
rs9358934 lBF = `135.421` Chr`6` : `26,363,755`	0.000	1.000
rs9379858 lBF = `135.263` Chr`6` : `26,367,689`	0.000	1.000
rs1436307 lBF = `135.154` Chr`6` : `25,939,723`	1.000	0.000
rs3752420 lBF = `135.006` Chr`6` : `26,027,135`	1.000	0.000
rs2013063 lBF = `134.627` Chr`6` : `25,994,098`	1.000	0.000
rs9393705 lBF = `134.475` Chr`6` : `26,361,011`	0.000	1.000
rs9393681 lBF = `134.305` Chr`6` : `26,008,260`	1.000	0.000
rs71559077 lBF = `133.938` Chr`6` : `28,328,065`	1.000	0.000
rs3752421 lBF = `133.632` Chr`6` : `25,918,688`	1.000	0.000
rs72841509 lBF = `133.609` Chr`6` : `26,368,279`	0.000	1.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.000	1.000
rs7770139 lBF = `133.407` Chr`6` : `25,925,823`	1.000	0.000
rs9467658 lBF = `133.122` Chr`6` : `26,010,881`	1.000	0.000
rs1977 lBF = `133.04` Chr`6` : `26,377,546`	0.000	1.000
rs3799371 lBF = `132.887` Chr`6` : `25,912,816`	1.000	0.000
rs1130000 lBF = `132.811` Chr`6` : `25,985,396`	1.000	0.000
rs2071299 lBF = `132.687` Chr`6` : `25,914,801`	1.000	0.000
rs2328903 lBF = `132.668` Chr`6` : `25,935,765`	1.000	0.000
rs71559084 lBF = `132.261` Chr`6` : `28,436,668`	1.000	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.000	1.000
rs6932113 lBF = `131.986` Chr`6` : `25,913,098`	1.000	0.000
rs1865760 lBF = `131.901` Chr`6` : `25,916,979`	1.000	0.000
rs2071298 lBF = `131.531` Chr`6` : `25,914,901`	1.000	0.000
rs3846838 lBF = `131.424` Chr`6` : `25,911,775`	1.000	0.000
rs6938233 lBF = `131.312` Chr`6` : `25,914,077`	1.000	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.000	1.000
rs2071297 lBF = `131.225` Chr`6` : `25,924,513`	1.000	0.000
rs6910174 lBF = `130.905` Chr`6` : `25,904,414`	1.000	0.000
rs9467636 lBF = `130.69` Chr`6` : `25,919,549`	1.000	0.000
rs1436306 lBF = `130.028` Chr`6` : `25,948,421`	1.000	0.000
rs1436310 lBF = `128.165` Chr`6` : `25,969,958`	1.000	0.000
rs198810 lBF = `125.095` Chr`6` : `26,128,618`	1.000	0.000
rs198820 lBF = `125.093` Chr`6` : `26,124,243`	1.000	0.000
rs198845 lBF = `124.1` Chr`6` : `26,107,790`	1.000	0.000
rs198848 lBF = `123.06` Chr`6` : `26,106,325`	1.000	0.000
rs198852 lBF = `122.854` Chr`6` : `26,104,448`	1.000	0.000
rs198834 lBF = `122.479` Chr`6` : `26,114,372`	1.000	0.000
rs55946641 lBF = `121.176` Chr`6` : `25,456,913`	1.000	0.000
rs11757235 lBF = `120.818` Chr`6` : `28,489,279`	1.000	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.000	1.000
rs967005 lBF = `115.384` Chr`6` : `28,210,688`	0.000	1.000
rs9295768 lBF = `115.003` Chr`6` : `28,209,102`	0.000	1.000
rs9468317 lBF = `114.533` Chr`6` : `28,198,456`	0.000	1.000
rs9295740 lBF = `113.353` Chr`6` : `27,689,502`	0.000	1.000
rs9393909 lBF = `112.742` Chr`6` : `28,207,200`	0.000	1.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.000	1.000
rs3118362 lBF = `108.751` Chr`6` : `28,785,085`	1.000	0.000
rs1736904 lBF = `108.207` Chr`6` : `28,219,270`	0.000	1.000
rs16894128 lBF = `107.754` Chr`6` : `28,444,165`	1.000	0.000
rs200968 lBF = `107.658` Chr`6` : `27,859,568`	0.000	1.000
Affx-28423542 lBF = `105.199` Chr`6` : `30,075,864`	1.000	0.000
rs9467715 lBF = `104.969` Chr`6` : `26,341,301`	1.000	0.000
rs1029328 lBF = `104.688` Chr`6` : `28,447,915`	1.000	0.000
rs201004 lBF = `104.553` Chr`6` : `27,804,934`	0.000	1.000
rs2508037 lBF = `103.422` Chr`6` : `29,918,436`	1.000	0.000
rs417162 lBF = `103.393` Chr`6` : `29,916,505`	1.000	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.000	1.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	1.000	0.000
rs376646 lBF = `102.081` Chr`6` : `29,914,377`	1.000	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.000	1.000
rs2523608 lBF = `101.206` Chr`6` : `31,322,559`	1.000	0.000
rs200973 lBF = `100.71` Chr`6` : `27,858,421`	0.000	1.000
rs573179 lBF = `100.174` Chr`6` : `27,849,676`	0.000	1.000
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	1.000	0.000
rs13190937 lBF = `99.6497` Chr`6` : `28,411,244`	1.000	0.000
rs13215804 lBF = `99.6138` Chr`6` : `28,415,572`	1.000	0.000
rs9260112 lBF = `99.5353` Chr`6` : `29,909,918`	1.000	0.000
rs2023472 lBF = `98.8104` Chr`6` : `30,075,864`	0.000	1.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.000	1.000
rs16891264 lBF = `98.1636` Chr`6` : `26,072,445`	0.000	1.000
rs3129151 lBF = `97.8792` Chr`6` : `29,138,315`	0.000	1.000
rs10484435 lBF = `97.6497` Chr`6` : `26,031,811`	0.000	1.000
rs13220395 lBF = `97.3969` Chr`6` : `26,055,368`	0.000	1.000
rs9260489 lBF = `97.3753` Chr`6` : `29,920,332`	0.000	1.000
rs760804 lBF = `97.2127` Chr`6` : `29,171,039`	0.000	1.000
rs487624 lBF = `97.1778` Chr`6` : `25,879,539`	1.000	0.000
rs13203202 lBF = `97.0447` Chr`6` : `25,582,771`	1.000	0.000
rs3129093 lBF = `96.7139` Chr`6` : `29,170,261`	0.000	1.000
rs79693813 lBF = `96.2314` Chr`6` : `25,345,251`	1.000	0.000
rs2517713 lBF = `96.1363` Chr`6` : `29,918,099`	0.000	1.000
rs1324087 lBF = `95.6518` Chr`6` : `25,841,408`	0.000	1.000
rs16891334 lBF = `95.5097` Chr`6` : `26,124,303`	0.000	1.000
rs1165168 lBF = `95.143` Chr`6` : `25,859,508`	0.000	1.000
rs1045537 lBF = `94.9576` Chr`6` : `26,096,748`	0.000	1.000
rs2051541 lBF = `94.9197` Chr`6` : `25,945,211`	0.000	1.000
rs3130724 lBF = `94.9138` Chr`6` : `29,118,530`	0.000	1.000
rs1324088 lBF = `94.6116` Chr`6` : `25,841,122`	0.000	1.000
rs3129171 lBF = `94.323` Chr`6` : `29,155,749`	0.000	1.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.000	1.000
rs9467703 lBF = `93.8435` Chr`6` : `26,318,903`	1.000	0.000
rs2179152 lBF = `93.8223` Chr`6` : `26,325,888`	1.000	0.000
rs10484433 lBF = `93.7652` Chr`6` : `26,030,492`	0.000	1.000
rs407238 lBF = `93.7415` Chr`6` : `29,806,901`	1.000	0.000
rs13207673 lBF = `93.5111` Chr`6` : `25,901,133`	0.000	1.000
rs149900 lBF = `93.1587` Chr`6` : `28,014,597`	0.000	1.000
rs149946 lBF = `92.7772` Chr`6` : `27,970,031`	0.000	1.000
rs9461222 lBF = `92.7631` Chr`6` : `25,905,111`	0.000	1.000
rs629444 lBF = `92.5054` Chr`6` : `25,885,814`	0.000	1.000
rs12153885 lBF = `92.2716` Chr`6` : `25,424,003`	1.000	0.000
rs34525648 lBF = `92.1633` Chr`6` : `25,914,853`	0.000	1.000
rs548987 lBF = `92.1448` Chr`6` : `25,869,371`	0.000	1.000
rs149969 lBF = `92.1365` Chr`6` : `27,977,737`	0.000	1.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.000	1.000
rs3129152 lBF = `91.9636` Chr`6` : `29,138,777`	0.000	1.000
rs16891315 lBF = `91.5417` Chr`6` : `26,111,756`	0.000	1.000
rs2071300 lBF = `91.428` Chr`6` : `25,914,572`	0.000	1.000
rs9467632 lBF = `91.4024` Chr`6` : `25,889,706`	0.000	1.000
rs3734523 lBF = `91.3456` Chr`6` : `25,925,987`	0.000	1.000
rs12526480 lBF = `91.2342` Chr`6` : `25,533,534`	1.000	0.000
rs501220 lBF = `90.8209` Chr`6` : `25,873,025`	0.000	1.000
rs200994 lBF = `90.8114` Chr`6` : `27,813,813`	0.000	1.000
rs9468274 lBF = `90.3466` Chr`6` : `28,026,077`	0.000	1.000
rs566530 lBF = `89.9701` Chr`6` : `25,878,361`	0.000	1.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	1.000
rs9393881 lBF = `89.3857` Chr`6` : `28,023,751`	0.000	1.000
rs868987 lBF = `89.0307` Chr`6` : `28,110,148`	0.000	1.000
rs9368555 lBF = `88.8161` Chr`6` : `28,108,967`	0.000	1.000
rs9261425 lBF = `88.6947` Chr`6` : `30,081,108`	1.000	0.000
rs3173443 lBF = `88.6823` Chr`6` : `28,137,027`	0.000	1.000
rs9348796 lBF = `88.479` Chr`6` : `28,126,202`	0.000	1.000
rs4713152 lBF = `88.1737` Chr`6` : `28,137,454`	0.000	1.000
rs7748167 lBF = `88.1606` Chr`6` : `25,904,652`	0.000	1.000
rs9295761 lBF = `88.1212` Chr`6` : `28,147,987`	0.000	1.000
rs1904840 lBF = `88.0655` Chr`6` : `28,108,232`	0.000	1.000
rs149901 lBF = `88.058` Chr`6` : `27,965,503`	0.000	1.000
rs523383 lBF = `87.9986` Chr`6` : `25,869,848`	0.000	1.000
rs2275508 lBF = `87.9766` Chr`6` : `28,094,731`	0.000	1.000
rs172166 lBF = `87.9497` Chr`6` : `28,020,820`	0.000	1.000
rs722788 lBF = `87.833` Chr`6` : `28,483,150`	1.000	0.000
rs203887 lBF = `87.7879` Chr`6` : `28,021,269`	0.000	1.000
rs203888 lBF = `87.7015` Chr`6` : `28,021,589`	0.000	1.000
rs9368554 lBF = `87.6279` Chr`6` : `28,082,711`	0.000	1.000
rs362538 lBF = `87.6033` Chr`6` : `29,510,630`	1.000	0.000
rs9295756 lBF = `87.5766` Chr`6` : `28,033,396`	0.000	1.000
rs6935954 lBF = `87.4289` Chr`6` : `26,255,451`	1.000	0.000
rs9380057 lBF = `87.364` Chr`6` : `28,104,634`	0.000	1.000
rs4713135 lBF = `87.3254` Chr`6` : `28,039,586`	0.000	1.000
rs1892251 lBF = `87.2869` Chr`6` : `25,769,349`	0.000	1.000
rs1340004 lBF = `87.2501` Chr`6` : `28,103,691`	0.000	1.000
rs9283884 lBF = `87.1966` Chr`6` : `28,135,660`	0.000	1.000
rs9295755 lBF = `87.1944` Chr`6` : `28,033,174`	0.000	1.000
rs1853097 lBF = `87.1497` Chr`6` : `28,058,635`	0.000	1.000
rs9380047 lBF = `86.9932` Chr`6` : `28,037,893`	0.000	1.000
rs77042711 lBF = `86.8686` Chr`6` : `25,413,416`	1.000	0.000
rs1947862 lBF = `86.7528` Chr`6` : `28,105,196`	0.000	1.000
rs149878 lBF = `86.7298` Chr`6` : `27,878,738`	0.000	1.000
rs6934993 lBF = `86.6871` Chr`6` : `29,337,500`	0.000	1.000
rs6932109 lBF = `86.6022` Chr`6` : `28,078,303`	0.000	1.000
rs2428507 lBF = `86.3981` Chr`6` : `30,229,306`	0.000	1.000
rs4713137 lBF = `86.3914` Chr`6` : `28,083,521`	0.000	1.000
rs200988 lBF = `86.3616` Chr`6` : `27,819,353`	0.000	1.000
rs809871 lBF = `86.3533` Chr`6` : `26,256,526`	1.000	0.000
rs11752919 lBF = `86.0921` Chr`6` : `28,403,603`	1.000	0.000
rs6941992 lBF = `86.0726` Chr`6` : `28,106,141`	0.000	1.000
rs3823180 lBF = `86.0097` Chr`6` : `28,061,744`	0.000	1.000
rs2056925 lBF = `85.9576` Chr`6` : `27,690,905`	0.000	1.000
rs994379 lBF = `85.9514` Chr`6` : `26,305,407`	0.000	1.000
rs9380059 lBF = `85.6683` Chr`6` : `28,132,358`	0.000	1.000
rs6903535 lBF = `85.6417` Chr`6` : `28,417,222`	1.000	0.000
rs2844766 lBF = `85.6389` Chr`6` : `30,230,661`	0.000	1.000
rs9257794 lBF = `85.5688` Chr`6` : `29,335,661`	0.000	1.000
rs200951 lBF = `85.4516` Chr`6` : `27,835,930`	0.000	1.000
rs4713145 lBF = `85.2353` Chr`6` : `28,106,827`	0.000	1.000
rs17711344 lBF = `85.1046` Chr`6` : `28,077,602`	0.000	1.000
rs203876 lBF = `85.0697` Chr`6` : `28,046,673`	0.000	1.000
rs2844762 lBF = `84.9674` Chr`6` : `30,236,754`	0.000	1.000
rs7776351 lBF = `84.9325` Chr`6` : `27,726,731`	0.000	1.000
rs1150666 lBF = `84.6357` Chr`6` : `28,123,928`	0.000	1.000
rs2531804 lBF = `84.5543` Chr`6` : `28,411,303`	1.000	0.000
rs1233701 lBF = `84.5407` Chr`6` : `28,168,726`	0.000	1.000
rs72828723 lBF = `84.461` Chr`6` : `25,244,076`	1.000	0.000
rs203877 lBF = `84.4247` Chr`6` : `28,048,624`	0.000	1.000
rs9348793 lBF = `84.3643` Chr`6` : `28,084,189`	0.000	1.000
rs203893 lBF = `84.3033` Chr`6` : `28,062,066`	0.000	1.000
rs149942 lBF = `84.1309` Chr`6` : `28,001,610`	0.000	1.000
rs6901520 lBF = `84.0842` Chr`6` : `27,714,575`	0.000	1.000
rs2523627 lBF = `84.0799` Chr`6` : `31,346,445`	1.000	0.000
rs156739 lBF = `84.0097` Chr`6` : `28,013,410`	0.000	1.000
rs1237875 lBF = `83.9827` Chr`6` : `28,173,010`	0.000	1.000
rs149975 lBF = `83.9673` Chr`6` : `27,986,340`	0.000	1.000
rs6902689 lBF = `83.8745` Chr`6` : `27,709,441`	0.000	1.000
rs9461405 lBF = `83.7964` Chr`6` : `27,719,375`	0.000	1.000
rs149897 lBF = `83.7762` Chr`6` : `28,006,650`	0.000	1.000
rs149951 lBF = `83.4132` Chr`6` : `28,033,087`	0.000	1.000
rs742046 lBF = `83.3535` Chr`6` : `27,739,254`	0.000	1.000
rs203884 lBF = `83.3442` Chr`6` : `28,077,374`	0.000	1.000
rs1233704 lBF = `83.2968` Chr`6` : `28,166,923`	0.000	1.000
rs2179095 lBF = `83.194` Chr`6` : `27,750,858`	0.000	1.000
rs9358946 lBF = `83.0195` Chr`6` : `26,478,927`	0.000	1.000
rs1408273 lBF = `82.888` Chr`6` : `25,840,946`	0.000	1.000
rs9393672 lBF = `82.7468` Chr`6` : `25,842,605`	0.000	1.000
rs7759217 lBF = `82.6115` Chr`6` : `27,730,463`	0.000	1.000
rs9358945 lBF = `82.4377` Chr`6` : `26,472,114`	0.000	1.000
rs4711165 lBF = `81.7456` Chr`6` : `28,115,184`	0.000	1.000
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rs3115630 lBF = `60.0967` Chr`6` : `29,794,501`	1.000	0.000
rs2504565 lBF = `60.0314` Chr`6` : `26,656,890`	1.000	0.000
rs853684 lBF = `60.0253` Chr`6` : `28,294,550`	0.000	1.000
rs6932590 lBF = `60.022` Chr`6` : `27,248,931`	0.000	1.000
rs62402013 lBF = `59.9927` Chr`6` : `26,915,000`	1.000	0.000
rs4713062 lBF = `59.9457` Chr`6` : `26,948,195`	0.000	1.000
rs2504571 lBF = `59.9278` Chr`6` : `26,643,435`	1.000	0.000
rs2504567 lBF = `59.821` Chr`6` : `26,662,920`	1.000	0.000
rs5025708 lBF = `59.8036` Chr`6` : `29,955,199`	1.000	0.000
rs1884947 lBF = `59.7705` Chr`6` : `26,553,273`	1.000	0.000
rs2494701 lBF = `59.7306` Chr`6` : `26,634,432`	1.000	0.000
rs1557820 lBF = `59.6416` Chr`6` : `29,477,240`	0.000	1.000
rs3130814 lBF = `59.6044` Chr`6` : `29,196,181`	0.000	1.000
rs2142730 lBF = `59.5705` Chr`6` : `28,266,149`	0.000	1.000
rs16896742 lBF = `59.5162` Chr`6` : `29,922,740`	0.000	1.000
rs17342717 lBF = `59.4485` Chr`6` : `25,821,770`	1.000	0.000
rs4368798 lBF = `59.2545` Chr`6` : `26,593,471`	1.000	0.000
rs213240 lBF = `59.2484` Chr`6` : `28,315,875`	0.000	1.000
rs9301 lBF = `59.0911` Chr`6` : `28,292,706`	0.000	1.000
rs1225715 lBF = `59.038` Chr`6` : `28,113,373`	0.000	1.000
rs156737 lBF = `59.0091` Chr`6` : `27,895,213`	0.000	1.000
rs1225710 lBF = `58.9946` Chr`6` : `28,100,640`	0.000	1.000
rs1150707 lBF = `58.9545` Chr`6` : `28,197,605`	0.000	1.000
rs1614887 lBF = `58.868` Chr`6` : `26,393,021`	1.000	0.000
rs3094134 lBF = `58.4526` Chr`6` : `30,122,154`	1.000	0.000
rs203878 lBF = `58.3519` Chr`6` : `28,048,996`	0.000	1.000
rs4583981 lBF = `58.3312` Chr`6` : `26,992,023`	0.000	1.000
rs6937880 lBF = `58.3075` Chr`6` : `27,000,236`	0.000	1.000
rs2791333 lBF = `58.1654` Chr`6` : `28,111,114`	0.000	1.000
rs2285802 lBF = `57.9704` Chr`6` : `30,209,099`	1.000	0.000
rs2393911 lBF = `57.9165` Chr`6` : `27,057,079`	0.000	1.000
rs9468209 lBF = `57.786` Chr`6` : `27,694,421`	0.000	1.000
rs445150 lBF = `57.6746` Chr`6` : `29,646,879`	0.000	1.000
rs2747430 lBF = `57.6451` Chr`6` : `29,648,506`	0.000	1.000
rs6918854 lBF = `57.6427` Chr`6` : `26,577,924`	1.000	0.000
rs3130787 lBF = `57.4408` Chr`6` : `30,809,864`	1.000	0.000
rs3800316 lBF = `57.3461` Chr`6` : `27,256,102`	0.000	1.000
rs1592410 lBF = `57.331` Chr`6` : `29,483,968`	0.000	1.000
rs1061535 lBF = `57.2714` Chr`6` : `29,937,924`	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 X0281

log Bayes Factor = 108.466

contains 7 variants

1.0000

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

1.0000

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9982

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9842

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9832

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9820

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9703

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9649

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.9630

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9606

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9450

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9351

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9193

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9129

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8987

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.8706

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8410

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8303

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8273

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7772

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7622

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7511

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7445

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7318

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6943

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6896

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6792

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6481

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6473

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5946

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5737

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5674

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5463

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5030

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4728

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4354

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4028

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4004

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3888

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3779

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3599

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3593

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3503

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3257

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3161

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3122

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2799

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2717

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2451

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2324

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2129

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2079

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2074

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2057

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2048

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1993

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1887

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1807

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1678

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1664

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1590

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1580

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1539

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1525

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1439

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1388

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1386

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1348

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1329

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1308

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1279

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1271

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1225

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1195

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1124

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1063

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1012

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0993

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0935

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0927

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0914

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0902

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0836

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0830

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0777

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0769

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0694

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0678

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0571

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0567

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0560

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0551

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0538

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`)