TreeWAS – [R22.0] Localised swelling, mass and lump, head

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
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.735	0.265	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.716	0.284	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.710	0.290	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.656	0.344	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.641	0.359	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.627	0.373	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.627	0.373	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.617	0.383	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.584	0.416	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.584	0.416	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.550	0.449	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.520	0.479	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.513	0.487	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.483	0.517	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.470	0.530	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.449	0.551	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.445	0.555	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.439	0.561	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.438	0.562	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.437	0.563	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.435	0.565	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.429	0.570	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.426	0.573	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.421	0.579	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.406	0.594	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.396	0.604	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.380	0.620	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.363	0.637	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.352	0.648	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.349	0.651	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.344	0.655	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.337	0.663	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.332	0.668	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.328	0.671	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.310	0.689	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.307	0.693	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.306	0.694	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.304	0.696	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.299	0.701	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.294	0.705	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.293	0.707	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.286	0.714	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.283	0.716	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.276	0.724	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.269	0.730	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.264	0.736	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.246	0.754	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.236	0.763	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.226	0.774	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.217	0.783	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.213	0.787	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.206	0.793	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.206	0.793	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.203	0.797	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.192	0.808	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.189	0.811	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.176	0.823	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.166	0.834	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.156	0.844	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.155	0.845	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.146	0.853	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.142	0.858	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.136	0.863	0.001
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.131	0.869	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.123	0.877	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.103	0.897	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.081	0.918	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.079	0.921	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.924	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.072	0.928	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.070	0.930	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.063	0.937	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.057	0.942	0.001
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.050	0.949	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.049	0.951	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.049	0.951	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.045	0.955	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.042	0.958	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.040	0.960	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.040	0.960	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.038	0.962	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.037	0.963	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.035	0.965	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.028	0.971	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.026	0.974	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.026	0.974	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.023	0.976	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.020	0.979	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.020	0.980	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.017	0.983	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.017	0.983	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.015	0.984	0.001
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.015	0.984	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.014	0.986	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.013	0.987	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.989	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.011	0.989	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.009
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.008	0.992	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.008	0.992	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.007	0.993	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.007	0.993	0.000
rs11857380 lBF = `-0.057484` Chr`15` : `58,712,203`	0.007	0.993	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	0.994	0.006
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	0.994	0.006
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.994	0.006
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.005	0.995	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.995	0.005
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.004	0.996	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.996	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.004	0.996	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.996	0.001
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.004	0.996	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.003	0.997	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.003	0.997	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.003	0.997	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.003	0.997	0.001
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.003	0.997	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	0.997	0.003
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	0.997	0.003
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	0.997	0.003
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.003	0.997	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.002	0.997	0.000
rs7495052 lBF = `-0.109136` Chr`15` : `92,552,029`	0.003	0.997	0.000
rs7174755 lBF = `-0.0365078` Chr`15` : `68,597,127`	0.000	0.997	0.003
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.003	0.997	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.997	0.003
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.002	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.002	0.997	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.002	0.997	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.003	0.997	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.002	0.997	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.002	0.998	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.002	0.998	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.998	0.002
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.002	0.998	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	0.998	0.002
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.002	0.998	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	0.998	0.002
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.001	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.002	0.998	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.998	0.002
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.001	0.998	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.002	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.001	0.999	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	0.999	0.001
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.000	0.999	0.001
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.001	0.999	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.001	0.999	0.000
rs2043085 lBF = `-0.101826` Chr`15` : `58,680,954`	0.000	0.999	0.001
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.001	0.999	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.001	0.999	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	0.999	0.001
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	0.999	0.001
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.001	0.999	0.001
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	0.999	0.001
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.000	0.999	0.001
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	0.999	0.001
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.001	0.999	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.001	0.999	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	0.999	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.001	0.999	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.000	0.999	0.001
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.001	0.999	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	0.999	0.001
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.001	0.999	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.001	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.001
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.001
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rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs8024939 lBF = `5.37334` Chr`15` : `79,049,237`	0.000	1.000	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	1.000	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	1.000	0.000
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	1.000	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	1.000	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.000	1.000	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	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
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	1.000	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	1.000	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs2229116 lBF = `-0.0968471` Chr`15` : `33,905,410`	0.000	1.000	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	1.000	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.000	1.000	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	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

0.5354

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1285

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9894

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9696

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9616

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9458

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9216

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9199

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9160

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8772

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8671

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8652

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8492

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8444

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8391

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8277

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8243

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7981

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7540

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7430

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7401

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7053

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6709

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6666

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6595

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6305

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6145

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6052

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6045

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5959

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5833

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5760

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5665

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5591

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5379

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5161

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5094

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4957

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4944

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4898

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4118

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4075

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4068

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4065

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4019

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3963

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3959

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3923

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3822

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3819

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3616

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3573

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3431

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3359

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3017

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2796

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2670

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2544

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2475

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2332

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2213

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2181

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2100

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1940

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1933

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1820

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1682

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1606

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1585

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1516

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1478

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1435

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1379

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1323

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1250

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1230

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1227

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1157

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1116

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1085

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0996

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0958

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0865

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0827

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0821

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0789

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0721

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0710

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0674

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0626

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0605

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0603

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0572

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0556

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0521

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`)