TreeWAS – [Z90.5] Acquired absence of kidney

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
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.859	0.141	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.838	0.162	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.774	0.226	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.760	0.240	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.709	0.291	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.695	0.305	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.674	0.326	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.659	0.341	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.657	0.343	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.618	0.382	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.603	0.397	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.590	0.410	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.574	0.426	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.568	0.432	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.566	0.434	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.527	0.473	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.526	0.474	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.518	0.482	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.510	0.490	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.463	0.537	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.456	0.544	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.451	0.549	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.421	0.578	0.001
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.421	0.579	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.394	0.606	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.392	0.608	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.347	0.653	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.342	0.658	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.341	0.659	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.337	0.663	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.335	0.665	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.322	0.678	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.312	0.688	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.308	0.692	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.234	0.766	0.001
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.187	0.813	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.184	0.816	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.180	0.820	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`	0.158	0.842	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.144	0.856	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.136	0.864	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.092	0.908	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.085	0.915	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.065	0.934	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.056	0.943	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.055	0.945	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.046	0.953	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`	0.035	0.965	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.032	0.968	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.026	0.973	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	0.975	0.025
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.025	0.975	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.024	0.976	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.017	0.982	0.001
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.017	0.983	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs11857532 lBF = `3.34895` Chr`15` : `78,968,268`	0.000	0.984	0.016
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.014	0.985	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.014	0.986	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.013	0.987	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.011	0.988	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.010	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.010	0.990	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.009	0.991	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.006	0.994	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.004	0.996	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.003	0.997	0.000
rs11072792 lBF = `13.1592` Chr`15` : `78,999,911`	0.000	0.997	0.003
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	0.997	0.003
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.003	0.997	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	0.997	0.003
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.002	0.997	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	0.997	0.003
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.997	0.003
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.003	0.997	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	0.997	0.003
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.002	0.998	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.002	0.998	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.998	0.002
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.000	0.998	0.002
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.000	0.998	0.002
rs12910627 lBF = `13.9518` Chr`15` : `78,994,933`	0.000	0.998	0.002
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.000	0.998	0.002
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	0.998	0.002
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.002	0.998	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.002	0.998	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	0.998	0.002
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.000	0.998	0.002
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.000	0.998	0.002
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.000	0.998	0.002
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.000	0.998	0.002
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.002	0.998	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	0.998	0.002
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.000	0.998	0.002
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.000	0.998	0.002
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	0.998	0.002
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.000	0.998	0.002
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.000	0.998	0.002
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.000	0.998	0.002
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.000	0.998	0.002
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.000	0.998	0.002
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.000	0.998	0.002
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.998	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	0.998	0.002
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.998	0.002
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.000	0.998	0.002
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	0.998	0.002
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	0.998	0.002
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.000	0.998	0.002
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	0.998	0.002
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	0.998	0.002
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.998	0.002
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	0.998	0.002
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	0.998	0.002
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.000	0.998	0.002
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.000	0.998	0.002
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.000	0.998	0.002
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	0.998	0.002
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	0.998	0.002
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	0.999	0.001
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.001	0.999	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	0.999	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs4886585 lBF = `13.7456` Chr`15` : `79,026,315`	0.000	0.999	0.001
rs80162468 lBF = `13.7456` Chr`15` : `79,026,316`	0.000	0.999	0.001
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	0.999	0.001
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	0.999	0.001
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.000	0.999	0.001
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.000	0.999	0.001
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	0.999	0.001
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	0.999	0.001
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	0.999	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	0.999	0.001
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.001	0.999	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	0.999	0.001
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	0.999	0.001
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.999	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	0.999	0.001
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	0.999	0.001
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	0.999	0.001
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.999	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	0.999	0.001
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	0.999	0.001
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	0.999	0.001
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	0.999	0.001
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	0.999	0.001
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	0.999	0.001
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	0.999	0.001
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.001	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.001
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	0.999	0.001
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	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
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	0.999	0.001
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	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
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	0.999	0.001
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs950169 lBF = `-0.0486341` Chr`15` : `84,706,461`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.000	1.000	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.000	1.000	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.000	1.000	0.000
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	1.000	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	1.000	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	1.000	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	1.000	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs4775041 lBF = `0.0145541` Chr`15` : `58,674,695`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.000	1.000	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.000	1.000	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.000	1.000	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	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

0.9017

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3514

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9920

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9918

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9890

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9876

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9753

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9542

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9356

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9302

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9217

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9039

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8866

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8360

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8308

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8128

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7584

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7427

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6913

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6826

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6432

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6273

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5904

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5566

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5425

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5402

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5320

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5303

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5212

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5085

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5078

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5075

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5074

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5008

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4928

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4607

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4159

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3887

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3720

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3627

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3611

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3585

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3266

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2761

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2470

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2314

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2230

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2198

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2102

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1854

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1738

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1724

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1673

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1482

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1435

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1325

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1158

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1127

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0912

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0736

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0665

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0630

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0598

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0559

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0533

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`)