TreeWAS – [R41.0] Disorientation, unspecified

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
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.994	0.006	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.821	0.179	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.814	0.186	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.772	0.228	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.686	0.314	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.684	0.315	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.663	0.337	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.661	0.339	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.587	0.413	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.558	0.442	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.550	0.450	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.543	0.457	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.543	0.457	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.536	0.464	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.500	0.500	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.484	0.516	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.484	0.516	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.484	0.516	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.477	0.522	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.469	0.531	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.425	0.575	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.419	0.581	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.386	0.614	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.385	0.615	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.363	0.637	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.362	0.638	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.355	0.644	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.350	0.650	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.338	0.662	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.334	0.666	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.325	0.674	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.324	0.675	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.319	0.681	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.315	0.685	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.310	0.690	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.299	0.701	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.299	0.701	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.295	0.705	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.291	0.709	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.279	0.721	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.262	0.738	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.246	0.754	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.230	0.770	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.229	0.771	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.212	0.788	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.210	0.790	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.207	0.793	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.202	0.798	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.202	0.798	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.193	0.807	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.184	0.816	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.177	0.822	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.174	0.826	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.171	0.829	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.157	0.843	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.153	0.847	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.148	0.852	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.142	0.857	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.131	0.869	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.119	0.881	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.118	0.882	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.115	0.885	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.108	0.892	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.102	0.898	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.101	0.899	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.100	0.900	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.096	0.903	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.092	0.908	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.924	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.074	0.926	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.072	0.927	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.068	0.932	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.061	0.939	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.058	0.942	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.055	0.945	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.055	0.945	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.052	0.947	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.048	0.952	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.047	0.953	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.044	0.956	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.039	0.961	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.037	0.963	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.036	0.964	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.033	0.967	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.033	0.967	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.033	0.967	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.027	0.969	0.004
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.030	0.970	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.029	0.971	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.978	0.022
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.021	0.979	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.020	0.980	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.017	0.983	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.014	0.986	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.013	0.986	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	0.991	0.009
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.008	0.992	0.000
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	0.993	0.007
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.007	0.993	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.007	0.993	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.007	0.993	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.006	0.994	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.005	0.995	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.995	0.005
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.005	0.995	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.005	0.995	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.004	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.005	0.995	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.005	0.995	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.004	0.995	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.004	0.996	0.001
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.004	0.996	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.004	0.996	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.004	0.996	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.004	0.996	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.004	0.996	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.996	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.003	0.997	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.003	0.997	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.003	0.997	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	0.997	0.003
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.003	0.997	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.003	0.997	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.003	0.997	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.003	0.997	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.002	0.998	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.002	0.998	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	0.998	0.002
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.002	0.998	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.002	0.998	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.002	0.998	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.002	0.998	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	0.998	0.002
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.002	0.998	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.002	0.998	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.002	0.998	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.002	0.998	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.001	0.998	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.002	0.998	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.002	0.998	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.998	0.002
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.002	0.998	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.002	0.998	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.002	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.002	0.998	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.002	0.998	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.002	0.998	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.002	0.998	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.002	0.998	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.002	0.998	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.002	0.998	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.001	0.999	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.001	0.999	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.001	0.999	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.001	0.999	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.001	0.999	0.001
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	0.999	0.001
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.001	0.999	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.001	0.999	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.001	0.999	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.001	0.999	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.001	0.999	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	0.999	0.001
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.001	0.999	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.001	0.999	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.001	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.001	0.999	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	0.999	0.001
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.001	0.999	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	0.999	0.001
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.001	0.999	0.000
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rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.000	1.000	0.000
rs6495367 lBF = `-0.0960495` Chr`15` : `79,375,347`	0.000	1.000	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.000	1.000	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	1.000	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	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
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	1.000	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	1.000	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	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
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.000	1.000	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	1.000	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	1.000	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	1.000	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	1.000	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	1.000	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	1.000	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.000	1.000	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.000	1.000	0.000
rs11637445 lBF = `-0.106417` Chr`15` : `67,991,606`	0.000	1.000	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	1.000	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	1.000	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	1.000	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	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

0.2239

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1746

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9983

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9965

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9948

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9909

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9841

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9805

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9771

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9676

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9595

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9509

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9471

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9439

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9260

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9143

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8882

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8602

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8601

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8519

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8389

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8101

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8010

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7959

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7838

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7785

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7542

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7376

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7202

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7141

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6931

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6869

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6859

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6731

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5510

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5232

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4895

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4045

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3775

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3716

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2645

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2371

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2357

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2351

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2270

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2228

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2112

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2007

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1730

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1609

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1585

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1558

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1550

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1516

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1483

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1465

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1445

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1012

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0955

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0878

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0779

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0743

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0676

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0560

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0556

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`)