TreeWAS – [Z03.2] Observation for suspected mental and behavioural disorders

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
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.746	0.254	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.655	0.345	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.633	0.367	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.630	0.370	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.621	0.379	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.590	0.410	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.587	0.413	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.583	0.416	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.576	0.424	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.541	0.459	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.519	0.481	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.513	0.486	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.501	0.499	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.486	0.513	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.472	0.528	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.461	0.539	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.454	0.546	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.372	0.628	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.371	0.629	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.363	0.637	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.358	0.641	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.347	0.653	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.335	0.665	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.322	0.678	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.314	0.686	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.287	0.713	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.267	0.733	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.251	0.749	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.225	0.775	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.215	0.784	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.214	0.786	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.213	0.787	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.211	0.789	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.200	0.799	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.191	0.809	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.182	0.818	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.181	0.818	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.180	0.820	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.169	0.831	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.166	0.834	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.153	0.847	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.147	0.853	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.142	0.857	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.142	0.858	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.131	0.868	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.122	0.878	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.122	0.878	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.119	0.881	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.118	0.882	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.115	0.885	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.114	0.886	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.110	0.889	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.104	0.896	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.097	0.903	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.092	0.908	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.090	0.910	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.090	0.910	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.083	0.917	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.083	0.917	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.082	0.918	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.078	0.922	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.077	0.923	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.925	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.073	0.926	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.073	0.927	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.059	0.940	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.058	0.941	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.055	0.945	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.052	0.948	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.051	0.949	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.050	0.950	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.048	0.952	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.045	0.955	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.044	0.956	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.040	0.959	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.039	0.961	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.035	0.965	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.034	0.966	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.033	0.967	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.032	0.968	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.026	0.974	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.022	0.978	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.022	0.978	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.021	0.979	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.020	0.980	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.020	0.980	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.020	0.980	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.017	0.980	0.002
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.017	0.983	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.012	0.987	0.001
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.988	0.012
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.011	0.988	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.011	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.011	0.988	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.009	0.991	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.007	0.993	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.007	0.993	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	0.993	0.006
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.006	0.994	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.006	0.994	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.005	0.994	0.001
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.005
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.006	0.994	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.004	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.004	0.995	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.004	0.996	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.004	0.996	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.004	0.996	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.004	0.996	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.003	0.996	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.003	0.996	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.003	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.003	0.997	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.003	0.997	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.001	0.997	0.002
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.003	0.997	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.003	0.997	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.002	0.998	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.002	0.998	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.998	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.002	0.998	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.002	0.998	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.000	0.998	0.001
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.002	0.998	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.998	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.998	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.001	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	0.999	0.001
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.001	0.999	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.999	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.001	0.999	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.001
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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	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
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
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
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	0.999	0.001
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
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.000	0.999	0.001
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.001
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	0.999	0.001
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.001	0.999	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
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rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.000	1.000	0.000
rs8041227 lBF = `-0.03131` Chr`15` : `31,538,542`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.000	1.000	0.000
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.000	1.000	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	1.000	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.000	1.000	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	1.000	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	1.000	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.000	1.000	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.000	1.000	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	1.000	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.000	1.000	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	1.000	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.000	1.000	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	1.000	0.000
rs1442779 lBF = `-0.0836916` Chr`15` : `71,576,755`	0.000	1.000	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.000	1.000	0.000
rs11070836 lBF = `-0.10928` Chr`15` : `51,436,397`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	1.000	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	1.000	0.000
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	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

0.2064

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0798

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9570

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8407

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8267

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7894

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7720

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7551

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7182

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7166

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7149

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7139

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7128

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7111

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7080

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7051

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7034

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6934

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6809

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6662

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6565

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6526

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6442

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6395

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6383

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6195

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5961

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5884

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5859

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5848

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5405

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5346

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4391

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4374

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4302

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3942

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3925

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3745

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3378

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3349

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2876

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2735

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2580

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2230

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2220

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1872

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1785

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1748

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1726

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1607

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1606

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1403

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1368

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1344

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1248

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1145

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1141

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1136

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1099

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1048

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0952

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0945

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0903

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0876

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0864

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0702

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0693

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0650

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0641

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0613

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0573

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0559

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0533

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0507

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0501

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`)