TreeWAS – [K14.5] Plicated tongue

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
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.682	0.318	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.615	0.385	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.609	0.391	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.538	0.462	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.530	0.470	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.500	0.499	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.492	0.507	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.490	0.509	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.486	0.514	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.485	0.515	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.483	0.517	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.481	0.519	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.479	0.521	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.468	0.532	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.462	0.538	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.461	0.539	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.455	0.544	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.452	0.548	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.443	0.557	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.428	0.572	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.425	0.575	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.424	0.576	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.416	0.584	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.410	0.590	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.409	0.591	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.400	0.600	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.391	0.609	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.390	0.609	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.386	0.614	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.385	0.615	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.374	0.626	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.373	0.627	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.369	0.631	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.353	0.647	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.353	0.647	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.341	0.658	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.334	0.666	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.332	0.667	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.331	0.669	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.326	0.674	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.326	0.674	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.301	0.699	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.296	0.703	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.287	0.713	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.287	0.713	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.283	0.716	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.257	0.742	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.255	0.745	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.252	0.747	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.245	0.755	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.245	0.755	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.241	0.758	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.235	0.764	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.212	0.787	0.001
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.207	0.792	0.001
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.190	0.810	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.187	0.812	0.001
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.171	0.828	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.163	0.837	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.158	0.842	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.145	0.854	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.112	0.888	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.111	0.889	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.088	0.912	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.086	0.913	0.001
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.082	0.918	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.076	0.924	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.070	0.929	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.069	0.931	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.064	0.936	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.063	0.937	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.059	0.941	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.058	0.942	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.048	0.952	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.048	0.952	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.045	0.955	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.043	0.957	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.042	0.958	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.041	0.959	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.039	0.960	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.040	0.960	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.039	0.961	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.037	0.963	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.031	0.969	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.030	0.969	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.030	0.970	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.028	0.971	0.002
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.027	0.973	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.026	0.974	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.023	0.977	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.022	0.978	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.021	0.979	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.021	0.979	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.020	0.980	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.019	0.980	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.018	0.982	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.017	0.983	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.016	0.984	0.001
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.016	0.984	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	0.985	0.015
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.015	0.985	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.013	0.987	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.012	0.988	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.011	0.989	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.011	0.989	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.011	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.989	0.010
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.010	0.990	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.009	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.009	0.991	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.008	0.992	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.008	0.992	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	0.993	0.007
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.007	0.993	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.007	0.993	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.007	0.993	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.993	0.007
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.007	0.993	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.006	0.994	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.006	0.994	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.006	0.994	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.005	0.994	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.004	0.996	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.004	0.996	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.004	0.996	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.004	0.996	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.996	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.004	0.996	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.004	0.996	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.996	0.004
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.003	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.003	0.997	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.003	0.997	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	0.997	0.003
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.003	0.997	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	0.997	0.002
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.002	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.002	0.997	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.002	0.998	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.002	0.998	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.002	0.998	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.002	0.998	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.002	0.998	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.002	0.998	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.002	0.998	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.002	0.998	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.002	0.998	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.002	0.998	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.002	0.998	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.002	0.998	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.002	0.998	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.002	0.998	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.002	0.998	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.998	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.002	0.998	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.002	0.998	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.002	0.998	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.998	0.001
rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.001	0.998	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.001	0.998	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.001	0.998	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.001	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.999	0.001
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.001	0.999	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.001	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.001	0.999	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.999	0.001
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.000	0.999	0.001
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.999	0.001
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.001
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.001	0.999	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.001	0.999	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.001	0.999	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.001	0.999	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.001	0.999	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.001	0.999	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	0.999	0.001
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.001	0.999	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.001	0.999	0.000
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rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	0.999	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	0.999	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	0.999	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	0.999	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	0.999	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	0.999	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	0.999	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	0.999	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	0.999	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	0.999	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	0.999	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.999	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.999	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	1.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	1.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	1.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	1.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	1.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	1.000	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.000	1.000	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs11857380 lBF = `-0.057484` Chr`15` : `58,712,203`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs17228178 lBF = `-0.105391` Chr`15` : `31,469,928`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	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
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	1.000	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	1.000	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	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
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7166

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7163

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7155

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7132

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7126

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7119

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7054

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7050

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6987

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6972

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6929

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6875

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6840

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6828

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6818

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6795

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6734

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6713

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6656

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6640

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6587

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6558

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6516

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6512

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6500

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6482

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6457

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6416

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6400

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6335

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6297

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6271

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6264

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6232

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6215

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6201

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6102

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6052

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6013

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5856

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5780

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5708

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5671

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5589

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5525

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5491

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5488

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5449

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5357

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5070

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5040

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5022

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5008

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4977

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4791

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4732

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4626

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4502

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4454

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4436

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4408

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4305

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4243

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4205

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4199

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4163

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4056

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4055

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3859

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3811

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3754

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3741

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3724

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3722

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3696

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3567

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3444

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3414

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3354

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3291

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3238

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3205

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3009

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2953

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2886

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2885

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2805

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2796

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2790

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2789

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2764

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2697

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2529

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2364

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2206

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2178

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2175

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2121

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2049

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1986

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1909

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1789

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1761

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1753

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1750

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1732

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1717

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1590

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1440

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1367

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1267

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1265

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1248

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1239

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1216

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1209

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1136

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1112

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1112

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1070

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0922

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0912

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0874

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0851

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0833

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0787

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0690

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0688

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0675

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0652

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0644

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0598

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0559

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0547

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`)