TreeWAS – [Z90] Acquired absence of organs, not elsewhere classified

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
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.998	0.002	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.997	0.003	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.991	0.009	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.968	0.032	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.950	0.050	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.949	0.051	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.912	0.088	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.883	0.117	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.871	0.129	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.870	0.130	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.857	0.143	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.849	0.151	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.848	0.152	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.846	0.154	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.807	0.193	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.807	0.193	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.806	0.194	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.775	0.225	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.754	0.246	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.700	0.300	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.671	0.329	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.647	0.353	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.647	0.353	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.622	0.377	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.604	0.396	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.559	0.441	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.531	0.469	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.527	0.473	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.512	0.488	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.510	0.490	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.447	0.553	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.431	0.568	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.421	0.579	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.414	0.586	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.390	0.610	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.373	0.627	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.367	0.633	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.301	0.699	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.250	0.750	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.231	0.769	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.230	0.770	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.185	0.815	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.183	0.817	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.129	0.871	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.128	0.872	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.124	0.876	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.110	0.890	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.098	0.902	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.088	0.912	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.076	0.924	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.072	0.928	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.060	0.939	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.054	0.946	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.037	0.963	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.036	0.964	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.033	0.967	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.032	0.968	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.025	0.975	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.024	0.976	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.022	0.978	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.020	0.980	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.016	0.984	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.015	0.985	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.014	0.986	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.013	0.987	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.013	0.987	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.009	0.991	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.009	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.007
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.006	0.994	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.006	0.994	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.006	0.994	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.006	0.994	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	0.995	0.005
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.005	0.995	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.004	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.003	0.997	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.002	0.998	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.998	0.002
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.998	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	0.998	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.002	0.998	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.998	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
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.001	0.999	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
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
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	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
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
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
rs16958536 lBF = `0` Chr`15` : `47,029,906`	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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	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
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	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
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.001
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.001	0.999	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.001	0.999	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	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
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.000	1.000	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	1.000	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.000	1.000	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	1.000	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.000	1.000	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	1.000	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	1.000	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	1.000	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.000	1.000	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	1.000	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.000	1.000	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.000	1.000	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	1.000	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.000	1.000	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.000	1.000	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	1.000	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
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rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	1.000	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs2401171 lBF = `-0.0455262` Chr`15` : `84,557,676`	0.000	1.000	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs1971791 lBF = `-0.0755014` Chr`15` : `70,576,138`	0.000	1.000	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	1.000	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	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
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	1.000	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	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
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
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	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
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.000	1.000	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	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
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	1.000	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	1.000	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	1.000	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	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
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	1.000	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	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
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	1.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	1.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	1.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	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
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	1.000	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	1.000	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	1.000	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	1.000	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.000	1.000	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	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

0.9889

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5934

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

1.0000

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

1.0000

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

1.0000

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

1.0000

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9999

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9999

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9999

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9998

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9997

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9997

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9997

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9990

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9985

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9977

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9977

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9949

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9934

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9931

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9929

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9907

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9903

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9880

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9849

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9840

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9794

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9741

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9728

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9592

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9581

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9577

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9358

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9337

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9281

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8901

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8844

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8775

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8744

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8655

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8509

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7905

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7433

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7381

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7294

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6975

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6627

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6553

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5668

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5614

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5486

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5345

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5064

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5051

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4576

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4557

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4389

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4217

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3624

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3277

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3186

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2944

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2928

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2868

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2717

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2683

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2649

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2464

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1930

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1771

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1489

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1487

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1332

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1223

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0821

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0779

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0732

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0699

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0665

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0601

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0574

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0565

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z90.0 Acquired absence of part of head and neck Z90.1 Acquired absence of breast(s) Z90.2 Acquired absence of lung [part of] Z90.3 Acquired absence of part of stomach Z90.4 Acquired absence of other parts of digestive tract Z90.5 Acquired absence of kidney Z90.6 Acquired absence of other parts of urinary tract Z90.7 Acquired absence of genital organ(s) Z90.8 Acquired absence of other organs

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`)