TreeWAS – [R22.2] Localised swelling, mass and lump, trunk

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
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.744	0.256	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.727	0.273	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.714	0.286	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.699	0.301	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.670	0.330	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.645	0.355	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.633	0.367	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.603	0.396	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.589	0.411	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.563	0.437	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.553	0.447	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.548	0.451	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.532	0.468	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.504	0.496	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.476	0.524	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.460	0.540	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.450	0.549	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.438	0.562	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.436	0.564	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.406	0.594	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.396	0.604	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.395	0.605	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.382	0.618	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.380	0.620	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.357	0.643	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.352	0.648	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.329	0.671	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.328	0.671	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.319	0.681	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.317	0.683	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.312	0.688	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.311	0.689	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.303	0.697	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.299	0.701	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.297	0.702	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.296	0.704	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.293	0.707	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.288	0.712	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.281	0.719	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.269	0.730	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.268	0.732	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.262	0.738	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.257	0.743	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.249	0.750	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.240	0.760	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.236	0.764	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.232	0.767	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.229	0.770	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.228	0.772	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.210	0.789	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.198	0.802	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.197	0.802	0.001
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.181	0.818	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.174	0.825	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.168	0.832	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.168	0.832	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.155	0.844	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.141	0.859	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.140	0.860	0.001
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.136	0.864	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.131	0.869	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.127	0.872	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.127	0.873	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.122	0.878	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.110	0.889	0.001
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.100	0.900	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.086	0.914	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.079	0.921	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.079	0.921	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.924	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.067	0.933	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.064	0.936	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.059	0.940	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.058	0.942	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.050	0.950	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.049	0.951	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.044	0.955	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.037	0.962	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.037	0.963	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.036	0.964	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.032	0.968	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.027	0.973	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.025	0.974	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.025	0.975	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.024	0.976	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.024	0.976	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.023	0.977	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.021	0.978	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.021	0.978	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.016	0.983	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.015	0.985	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.014	0.986	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.013	0.986	0.001
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.013	0.986	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.013	0.986	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.013	0.987	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.988	0.012
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.989	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.011	0.989	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.010	0.989	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.010	0.990	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	0.990	0.010
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	0.990	0.010
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	0.992	0.008
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.006	0.994	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	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
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.005	0.995	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.995	0.005
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.004	0.995	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.005	0.995	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.004	0.996	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.996	0.001
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.996	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.004	0.996	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.004	0.996	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.003	0.996	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.003	0.996	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.003	0.996	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.003	0.997	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.003	0.997	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.003	0.997	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	0.997	0.003
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	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
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.003	0.997	0.000
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
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.002	0.998	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.002	0.998	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.002	0.998	0.001
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	0.998	0.002
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	0.998	0.002
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	0.998	0.002
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	0.998	0.002
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.002	0.998	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.002	0.998	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	0.998	0.002
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.000	0.998	0.002
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.002	0.998	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.998	0.002
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	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
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.002	0.998	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.002	0.998	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.001	0.998	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.002	0.998	0.000
rs281302 lBF = `-0.0933521` Chr`15` : `47,686,662`	0.000	0.998	0.002
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	0.999	0.001
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.001	0.999	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	0.999	0.001
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.001	0.999	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.001	0.999	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	0.999	0.001
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	0.999	0.001
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
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.001	0.999	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.001	0.999	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	0.999	0.001
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.001	0.999	0.000
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.000	0.999	0.001
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.001	0.999	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.001	0.999	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.000	0.999	0.001
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.001	0.999	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.001	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.001
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.999	0.001
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	0.999	0.001
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	0.999	0.001
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rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.000	1.000	0.000
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	1.000	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	1.000	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	1.000	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	1.000	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	1.000	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	1.000	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.000	1.000	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.000	1.000	0.000
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.000	1.000	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.000	1.000	0.000
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.000	1.000	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.000	1.000	0.000
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.000	1.000	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.000	1.000	0.000
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.000	1.000	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.000	1.000	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	1.000	0.000
rs2043085 lBF = `-0.101826` Chr`15` : `58,680,954`	0.000	1.000	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.000	1.000	0.000
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	1.000	0.000
rs7182385 lBF = `-0.127416` Chr`15` : `85,435,076`	0.000	1.000	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	1.000	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	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

0.4329

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1405

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0603

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9726

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9675

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9658

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9593

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9231

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9147

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9035

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9020

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8987

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8972

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8954

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8953

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8692

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8647

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8606

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8483

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8312

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7977

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7847

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7794

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7780

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7509

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7426

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7317

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7286

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6935

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6715

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6467

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6402

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6245

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6025

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6004

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5811

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5701

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5655

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5621

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5223

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5173

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5164

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4915

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4889

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4822

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4772

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4755

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4746

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4733

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4466

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4273

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4260

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3911

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3533

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3428

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3353

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3184

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3043

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2895

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2821

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2768

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2529

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2507

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2185

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2159

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2051

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1987

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1858

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1797

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1716

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1673

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1620

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1502

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1452

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1418

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1418

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1316

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1174

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1125

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1061

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0974

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0868

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0826

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0754

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0740

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0713

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0674

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0656

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0623

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0622

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0584

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0578

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0524

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`)