TreeWAS – [Z90.2] Acquired absence of lung [part of]

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
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.903	0.097	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.853	0.147	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.794	0.206	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.769	0.231	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.760	0.240	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.717	0.283	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.701	0.298	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.665	0.335	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.647	0.353	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.641	0.359	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.607	0.393	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.596	0.404	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.594	0.406	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.582	0.418	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.575	0.425	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.531	0.469	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.511	0.489	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.506	0.494	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.496	0.504	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.468	0.531	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.431	0.569	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.426	0.574	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.419	0.581	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.392	0.608	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.388	0.612	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.383	0.616	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.363	0.637	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.337	0.663	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.329	0.671	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.325	0.674	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.307	0.693	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.306	0.694	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.296	0.704	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.279	0.721	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.269	0.730	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.230	0.770	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.218	0.782	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.185	0.814	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.166	0.834	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.163	0.837	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.143	0.857	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.119	0.881	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.096	0.904	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.092	0.908	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.091	0.909	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.070	0.930	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.068	0.932	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.067	0.933	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.060	0.940	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.037	0.962	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.035	0.964	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.029	0.971	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.025	0.975	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.024	0.976	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.021	0.979	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.020	0.980	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	0.980	0.020
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.019	0.981	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.017	0.983	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.013	0.986	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	0.986	0.014
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	0.988	0.012
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.011	0.988	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.010	0.990	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.009	0.991	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.008	0.992	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	0.993	0.007
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.006	0.993	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.006	0.994	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.994	0.006
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.005	0.995	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.005	0.995	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.996	0.004
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.003	0.997	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.003	0.997	0.000
rs2229116 lBF = `-0.0968471` Chr`15` : `33,905,410`	0.003	0.997	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.003	0.997	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.003	0.997	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.003	0.997	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	0.997	0.003
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.998	0.002
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.002	0.998	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.002	0.998	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.002	0.998	0.000
rs4886755 lBF = `-0.067757` Chr`15` : `76,298,132`	0.000	0.998	0.002
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.000	0.998	0.002
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	0.998	0.002
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	0.998	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.001	0.999	0.000
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.001	0.999	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.001	0.999	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.001	0.999	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.001	0.999	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.001	0.999	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.001	0.999	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	0.999	0.001
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.001	0.999	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.001
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	0.999	0.001
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	0.999	0.001
rs2676071 lBF = `-0.0473081` Chr`15` : `33,597,076`	0.000	0.999	0.001
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.001	0.999	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	0.999	0.001
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.001	0.999	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	0.999	0.001
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.001
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.000	0.999	0.001
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	0.999	0.001
rs7181230 lBF = `0.0270022` Chr`15` : `40,360,741`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.001	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	0.999	0.001
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.999	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.001	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.001	0.999	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.000	0.999	0.001
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	0.999	0.001
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.001	0.999	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.000	0.999	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	0.999	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.000	0.999	0.001
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.001	0.999	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.001	0.999	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.000	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	0.999	0.001
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.001	0.999	0.000
rs7172809 lBF = `-0.0978218` Chr`15` : `77,819,676`	0.001	0.999	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	0.999	0.001
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rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.000	1.000	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.000	1.000	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	1.000	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	1.000	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	1.000	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.000	1.000	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.000	1.000	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.000	1.000	0.000
rs1436958 lBF = `-0.133002` Chr`15` : `62,338,797`	0.000	1.000	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	1.000	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	1.000	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	1.000	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	1.000	0.000
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	1.000	0.000
rs1442779 lBF = `-0.0836916` Chr`15` : `71,576,755`	0.000	1.000	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	1.000	0.000
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	1.000	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.000	1.000	0.000
rs12910412 lBF = `-0.118647` Chr`15` : `94,707,073`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.000	1.000	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7993

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5409

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4904

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9966

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9955

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9921

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9868

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9851

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9787

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9742

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9714

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9702

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9537

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9490

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9395

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9350

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9308

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9256

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9068

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9009

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8928

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8682

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8658

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8276

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8067

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7943

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7723

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7347

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7317

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7291

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7212

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7085

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6887

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6552

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6551

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6356

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6337

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5766

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5556

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5210

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4730

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4633

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4415

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4149

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4098

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3832

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3499

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3385

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3236

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3102

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3007

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2897

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2875

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2814

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2522

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2458

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1998

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1863

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1778

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1765

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1732

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1540

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1477

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1402

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1292

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1108

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0976

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0887

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0812

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0700

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0596

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0554

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`)