TreeWAS – [G40.6] Grand mal seizures, unspecified (with or without petit mal)

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
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.919	0.081	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.847	0.153	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.796	0.204	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.760	0.239	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.671	0.329	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.667	0.333	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.622	0.378	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.614	0.385	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.613	0.386	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.607	0.393	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.581	0.419	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.576	0.424	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.571	0.429	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.558	0.442	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.530	0.470	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.529	0.471	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.524	0.476	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.512	0.488	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.507	0.493	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.501	0.499	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.489	0.511	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.485	0.515	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.468	0.532	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.458	0.542	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.452	0.548	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.450	0.550	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.433	0.567	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.421	0.579	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.419	0.581	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.413	0.587	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.408	0.592	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.407	0.593	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.392	0.607	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.384	0.615	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.378	0.622	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.378	0.622	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.374	0.626	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.371	0.629	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.370	0.630	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.363	0.637	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.359	0.641	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.355	0.645	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.341	0.658	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.340	0.660	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.336	0.664	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.334	0.666	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.327	0.673	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.322	0.677	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.322	0.677	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.320	0.680	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.317	0.683	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.314	0.686	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.313	0.687	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.309	0.691	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.306	0.694	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.303	0.697	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.299	0.701	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.288	0.712	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.286	0.714	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.284	0.716	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.282	0.718	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.277	0.723	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.275	0.725	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.263	0.737	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.262	0.738	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.254	0.745	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.253	0.747	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.251	0.748	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.245	0.755	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.245	0.755	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.242	0.757	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.241	0.758	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.237	0.763	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.231	0.769	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.231	0.769	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.227	0.773	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.224	0.775	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.210	0.790	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.210	0.790	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.209	0.791	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.204	0.796	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.200	0.800	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.200	0.800	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.200	0.800	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.194	0.806	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.188	0.812	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.184	0.816	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.184	0.816	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.169	0.830	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.169	0.830	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.166	0.834	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.164	0.835	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.164	0.836	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.162	0.838	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.158	0.842	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.150	0.849	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.141	0.859	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.139	0.860	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.134	0.866	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.134	0.866	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.132	0.867	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.132	0.868	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.129	0.870	0.001
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.124	0.876	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.122	0.878	0.001
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.119	0.880	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.116	0.884	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.114	0.886	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.111	0.889	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.109	0.890	0.001
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.109	0.890	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.107	0.893	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.104	0.896	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.098	0.902	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.096	0.904	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.091	0.909	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.090	0.910	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.088	0.912	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.083	0.917	0.001
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.077	0.923	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.076	0.924	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.076	0.924	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.068	0.932	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.067	0.932	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.062	0.938	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.048	0.952	0.001
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.046	0.954	0.001
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.044	0.955	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.043	0.957	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.042	0.958	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.038	0.962	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.037	0.962	0.001
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.030	0.970	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.027	0.973	0.001
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.026	0.974	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.025	0.975	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.025	0.975	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.018	0.982	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.014	0.986	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.011	0.988	0.001
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.011	0.989	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.011	0.989	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.011	0.989	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.011	0.989	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	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`	0.009	0.991	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.991	0.009
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.009	0.991	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.007	0.992	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.006	0.993	0.000
rs1436953 lBF = `-0.114458` Chr`15` : `62,414,014`	0.006	0.994	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.005	0.994	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.005	0.995	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.005	0.995	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	0.996	0.004
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.004	0.996	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	0.996	0.004
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.004	0.996	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.004	0.996	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.004	0.996	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.996	0.004
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs4886755 lBF = `-0.067757` Chr`15` : `76,298,132`	0.004	0.996	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	0.996	0.003
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.003	0.997	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.003	0.997	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.003	0.997	0.000
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.003	0.997	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.003	0.997	0.000
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.003	0.997	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.003	0.997	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.003	0.997	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.003	0.997	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.002	0.997	0.000
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.003	0.997	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.002	0.997	0.000
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.003	0.997	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.002	0.998	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.002	0.998	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.998	0.000
rs4321143 lBF = `0.3117` Chr`15` : `96,156,368`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	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
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.002	0.998	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.002	0.998	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.001	0.998	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.002	0.998	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.002	0.998	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	0.998	0.002
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	0.998	0.002
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.002	0.998	0.000
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rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.001	0.999	0.000
rs7178424 lBF = `-0.115284` Chr`15` : `62,380,259`	0.001	0.999	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.999	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	0.999	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	0.999	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.001	0.999	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	0.999	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	0.999	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.001	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	0.999	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	0.999	0.000
rs8041227 lBF = `-0.03131` Chr`15` : `31,538,542`	0.001	0.999	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	0.999	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.001	0.999	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.999	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.999	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	0.999	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.000	0.999	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	0.999	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.000	0.999	0.001
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	0.999	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	0.999	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs11857532 lBF = `3.34895` Chr`15` : `78,968,268`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	1.000	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.000	1.000	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.000	1.000	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	1.000	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	1.000	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7762

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9956

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9952

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9944

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9894

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9889

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9862

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9849

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9794

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9769

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9727

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9677

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9656

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9628

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9620

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9523

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9490

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9426

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9326

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9299

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9124

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9011

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9002

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8927

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8922

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8920

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8814

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8704

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8689

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8645

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8399

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8300

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8284

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8257

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8191

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8186

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8152

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8107

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8067

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8058

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7992

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7942

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7906

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7893

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7801

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7648

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7606

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7597

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7596

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7550

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7487

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7484

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7474

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7396

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7358

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7344

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7306

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7284

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7193

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7192

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7102

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6994

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6993

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6860

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6697

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6547

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6474

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6407

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6401

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6387

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6320

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6306

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6306

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6285

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6251

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6016

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5953

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5863

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5800

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5789

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5627

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5376

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5308

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5284

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5017

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4829

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4825

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4658

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4585

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4423

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4374

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4262

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4170

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4120

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4058

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4018

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3950

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3872

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3828

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3822

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3803

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3755

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3753

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3385

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3345

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3222

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3215

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3155

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3150

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3113

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2971

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2968

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2847

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2807

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2798

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2717

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2583

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2581

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2495

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2490

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2457

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2360

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2264

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2146

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2121

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2051

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1844

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1791

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1734

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1452

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1384

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1300

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1241

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1168

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1106

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1095

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1057

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1055

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0999

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0965

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0913

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0873

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0864

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0858

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0857

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0822

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0719

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0674

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0646

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0644

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0634

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0561

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`)