TreeWAS – [Z89.4] Acquired absence of foot and ankle

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
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.697	0.303	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.652	0.348	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.650	0.350	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.627	0.373	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.612	0.388	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.589	0.411	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.571	0.428	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.542	0.458	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.525	0.475	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.525	0.475	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.521	0.478	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.521	0.479	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.514	0.486	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.514	0.486	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.514	0.486	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.514	0.486	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.513	0.486	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.513	0.487	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.513	0.487	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.512	0.488	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.509	0.490	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.509	0.491	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.505	0.495	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.504	0.496	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.494	0.506	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.491	0.509	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.479	0.521	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.474	0.526	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.455	0.545	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.445	0.555	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.442	0.558	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.436	0.563	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.436	0.564	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.429	0.571	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.423	0.576	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.423	0.577	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.408	0.592	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.348	0.652	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.340	0.659	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.320	0.680	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.300	0.700	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.288	0.711	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.285	0.715	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.269	0.731	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.252	0.748	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.233	0.767	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.215	0.785	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.204	0.796	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.187	0.813	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.066	0.934	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.050	0.950	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.048	0.952	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.046	0.954	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.042	0.958	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.027	0.972	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.026	0.974	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.022	0.977	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.020	0.980	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.019	0.981	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.016	0.983	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.016	0.984	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.014	0.986	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.014	0.986	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.012	0.988	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.992	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.994	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.006	0.994	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.000	0.994	0.006
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.005	0.995	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.005	0.995	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.004	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.003	0.996	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.003	0.997	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.003	0.997	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.003	0.997	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.003	0.997	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.997	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.002	0.998	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.002	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	0.998	0.002
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	0.998	0.002
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.000	0.998	0.002
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.002	0.998	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.002	0.998	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.002	0.998	0.000
rs7176070 lBF = `16.0891` Chr`15` : `79,033,489`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.001	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.001	0.999	0.000
rs11635085 lBF = `-0.0849679` Chr`15` : `93,046,636`	0.000	0.999	0.001
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.000	0.999	0.001
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.001	0.999	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	0.999	0.001
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.001	0.999	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.001	0.999	0.000
rs8041227 lBF = `-0.03131` Chr`15` : `31,538,542`	0.001	0.999	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.001	0.999	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.001	0.999	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.001	0.999	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.001	0.999	0.000
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.001	0.999	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	0.999	0.001
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.001	0.999	0.000
rs2676071 lBF = `-0.0473081` Chr`15` : `33,597,076`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	0.999	0.001
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	0.999	0.001
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.001	0.999	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.001	0.999	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.001	0.999	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	0.999	0.001
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	0.000	0.999	0.001
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.001	0.999	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	0.999	0.001
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.001	0.999	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	0.999	0.001
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.001	0.999	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	0.999	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.001	0.999	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	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
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.001	0.999	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	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
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.001	0.999	0.000
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
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	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
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
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.001	0.999	0.000
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
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.001	0.999	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.001	0.999	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	0.999	0.001
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.999	0.001
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	0.999	0.001
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rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	1.000	0.000
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.000	1.000	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	1.000	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.000	1.000	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
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
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.000	1.000	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	1.000	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	1.000	0.000
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs4775041 lBF = `0.0145541` Chr`15` : `58,674,695`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	1.000	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	1.000	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	1.000	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	1.000	0.000
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	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

0.4273

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2785

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1140

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9996

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9944

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9933

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9928

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9904

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9903

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9865

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9863

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9859

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9857

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9824

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9810

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9766

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9759

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9720

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9717

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9717

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9627

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9612

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9605

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9603

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9577

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9575

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9571

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9567

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9514

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9508

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9438

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9379

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9200

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9195

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9180

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9180

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9178

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9147

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9146

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9143

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9130

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9120

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9096

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9092

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9079

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9070

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9069

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9033

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8997

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8994

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8988

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8953

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8952

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8914

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8892

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8851

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8826

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8810

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8806

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8770

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8742

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8725

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8699

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8663

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8556

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8542

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8510

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8462

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8442

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8434

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8426

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8399

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8367

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8305

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8271

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8251

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8161

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8131

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8023

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7995

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7980

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7935

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7908

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7900

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7854

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7786

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7764

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7717

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7505

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7479

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7475

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7394

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7363

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7340

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7159

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6861

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6819

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6745

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6660

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6568

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6551

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6403

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6398

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6283

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6168

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6143

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6124

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5931

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5739

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5482

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5324

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5184

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4970

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4473

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4197

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4040

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3709

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3329

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3282

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3077

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2963

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2790

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2765

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2172

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2053

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2040

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.2006

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1706

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1640

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1593

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1298

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1194

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1075

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0975

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0966

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0936

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0716

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0623

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`)