TreeWAS – [F40.2] Specific (isolated) phobias

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
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.897	0.103	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.728	0.272	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.707	0.293	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.687	0.313	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.683	0.317	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.596	0.404	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.587	0.413	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.584	0.416	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.529	0.471	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.519	0.481	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.510	0.490	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.503	0.497	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.496	0.504	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.488	0.512	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.479	0.521	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.466	0.534	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.465	0.535	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.464	0.536	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.463	0.536	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.457	0.543	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.454	0.546	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.450	0.550	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.443	0.557	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.439	0.561	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.429	0.570	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.429	0.571	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.426	0.574	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.423	0.576	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.421	0.579	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.417	0.582	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.412	0.588	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.390	0.610	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.388	0.612	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.382	0.618	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.378	0.622	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.369	0.630	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.369	0.630	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.364	0.636	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.350	0.649	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.337	0.663	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.333	0.667	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.331	0.669	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.323	0.677	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.323	0.677	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.319	0.681	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.314	0.686	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.313	0.687	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.310	0.690	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.308	0.692	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.307	0.693	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.306	0.694	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.303	0.697	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.300	0.700	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.300	0.700	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.297	0.703	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.296	0.704	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.292	0.708	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.289	0.710	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.284	0.716	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.281	0.719	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.281	0.719	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.278	0.721	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.274	0.725	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.272	0.728	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.263	0.737	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.258	0.741	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.255	0.745	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.252	0.748	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.251	0.749	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.246	0.754	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.239	0.761	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.239	0.761	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.237	0.762	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.237	0.762	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.237	0.763	0.001
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.231	0.769	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.226	0.773	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.224	0.776	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.223	0.776	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.222	0.778	0.001
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.221	0.779	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.219	0.780	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.219	0.781	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.215	0.785	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.207	0.793	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.205	0.795	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.201	0.798	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.202	0.798	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.198	0.801	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.196	0.803	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.195	0.805	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.192	0.808	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.187	0.813	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.185	0.815	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.181	0.819	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.180	0.820	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.178	0.822	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.176	0.824	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.174	0.825	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.173	0.827	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.171	0.828	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.171	0.829	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.169	0.831	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.168	0.832	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.164	0.836	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.163	0.836	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.161	0.839	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.158	0.842	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.157	0.843	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.155	0.844	0.001
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.149	0.851	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.135	0.865	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.134	0.866	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.131	0.868	0.001
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.129	0.871	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.127	0.873	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.122	0.877	0.001
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.122	0.877	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.120	0.880	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.114	0.886	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.109	0.891	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.107	0.893	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.095	0.904	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.095	0.904	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.094	0.906	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.089	0.911	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.089	0.911	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.084	0.916	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.083	0.916	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.082	0.917	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.078	0.921	0.001
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.924	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.074	0.925	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.071	0.929	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.070	0.930	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.063	0.937	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.057	0.943	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.051	0.949	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.048	0.951	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.048	0.952	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.047	0.953	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.046	0.953	0.001
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.045	0.954	0.001
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.043	0.957	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.043	0.957	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.042	0.957	0.001
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.042	0.958	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.041	0.959	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.041	0.959	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.033	0.967	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.033	0.967	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.032	0.968	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.028	0.972	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.027	0.972	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.026	0.973	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.022	0.977	0.001
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.021	0.979	0.000
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	0.983	0.017
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.016	0.984	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.015	0.985	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.015	0.985	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	0.986	0.014
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.987	0.013
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	0.990	0.010
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.010	0.990	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.010	0.990	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	0.990	0.010
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.009	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.009	0.991	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.008	0.991	0.001
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.008	0.992	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.008	0.992	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.008	0.992	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.008	0.992	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.992	0.008
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.008	0.992	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.008	0.992	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.008	0.992	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.007	0.993	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.007	0.993	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.007	0.993	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.007	0.993	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.007	0.993	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.007	0.993	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.007	0.993	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.007	0.993	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.006	0.994	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.006	0.994	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	0.994	0.006
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.005	0.994	0.001
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.006	0.994	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.005	0.995	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.005	0.995	0.000
rs12908161 lBF = `0.0348923` Chr`15` : `85,207,825`	0.000	0.995	0.005
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.005	0.995	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.005	0.995	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.005	0.995	0.000
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rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.001	0.999	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	0.999	0.001
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.001	0.999	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.999	0.001
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.001	0.999	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.000	0.999	0.001
rs12148337 lBF = `0.0123087` Chr`15` : `70,589,272`	0.000	0.999	0.001
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.001	0.999	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	0.999	0.001
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	0.999	0.001
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.001	0.999	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.999	0.001
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.000	0.999	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.001	0.999	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	0.999	0.001
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs1823874 lBF = `-0.0604683` Chr`15` : `100,357,435`	0.001	0.999	0.000
rs6576443 lBF = `-0.0848589` Chr`15` : `25,894,658`	0.000	0.999	0.001
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.001	0.999	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.001	0.999	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.001	0.999	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.001	0.999	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.001	0.999	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.001	0.999	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.001	0.999	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.001	0.999	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.001	0.999	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	0.999	0.001
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.001	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.001	0.999	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.001	0.999	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.001	0.999	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.001	0.999	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.001	0.999	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.001	0.999	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.001	0.999	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.001	0.999	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.001	0.999	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.001	0.999	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.001	0.999	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.001	0.999	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	0.999	0.001
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	0.999	0.001
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.001	0.999	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.001	0.999	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.001	0.999	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.001	0.999	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	0.999	0.001
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	0.999	0.001
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	0.999	0.001
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	0.999	0.001
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	0.999	0.001
rs933769 lBF = `-0.0799509` Chr`15` : `96,052,742`	0.001	0.999	0.000
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.001	0.999	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.001	0.999	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	0.999	0.001
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.001	0.999	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.001	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.001	0.999	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.001	0.999	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.999	0.001
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	0.999	0.001
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	0.999	0.001
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.001	0.999	0.000
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.001	0.999	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.001	0.999	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.001	0.999	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.001	0.999	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.001	0.999	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.001	0.999	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.001	0.999	0.000
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.001	0.999	0.000
rs950169 lBF = `-0.0486341` Chr`15` : `84,706,461`	0.000	0.999	0.001
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.001	0.999	0.000
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.001	0.999	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.001	0.999	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.001	0.999	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.001	0.999	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.001	0.999	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.001	0.999	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	0.999	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.001	0.999	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.001	0.999	0.000
rs12910627 lBF = `13.9518` Chr`15` : `78,994,933`	0.001	0.999	0.000
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.001	0.999	0.000
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.001	0.999	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	0.999	0.001
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	0.999	0.000
rs4775041 lBF = `0.0145541` Chr`15` : `58,674,695`	0.001	0.999	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.001	0.999	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

0.0987

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0857

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0610

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9995

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9937

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9883

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9878

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9619

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9571

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9319

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9302

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9281

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9101

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8620

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8188

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8164

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8074

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8012

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7723

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7695

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7486

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7364

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7290

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7161

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7085

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6892

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6846

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6764

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6754

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6631

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6569

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6361

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6302

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6150

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6150

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6105

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6095

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6094

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6087

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5939

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5863

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5559

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5373

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5343

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5167

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5131

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5073

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5053

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5015

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4976

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4812

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4745

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4634

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4609

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4595

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4552

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4494

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4411

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4410

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3988

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3736

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3693

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3638

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3592

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3505

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3437

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3415

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3374

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3328

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3298

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3206

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3201

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3095

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3092

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3065

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3053

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2977

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2619

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2602

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2466

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2447

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2287

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2228

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2121

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2116

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2107

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2007

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1986

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1900

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1897

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1892

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1835

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1694

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1688

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1688

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1667

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1662

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1618

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1540

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1490

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1471

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1449

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1448

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1404

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1402

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1375

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1255

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1230

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1202

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1200

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1194

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1160

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1131

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1107

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1102

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1101

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1091

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1088

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1087

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0987

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0984

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0951

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0916

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0903

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0889

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0881

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0878

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0824

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0808

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0788

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0785

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0783

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0769

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0740

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0708

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0703

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0703

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0679

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0664

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0621

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0603

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0598

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0598

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0595

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0575

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0574

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0574

Cluster X0079

log Bayes Factor = 413.803

contains 22 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`)