TreeWAS – [Z46.2] Fitting and adjustment of other devices related to nervous system and special senses

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
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.787	0.213	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.677	0.322	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.632	0.368	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.618	0.382	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.618	0.382	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.591	0.409	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.574	0.426	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.553	0.447	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.546	0.453	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.541	0.459	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.537	0.463	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.537	0.463	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.516	0.484	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.512	0.488	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.511	0.489	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.482	0.518	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.472	0.528	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.468	0.532	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.466	0.534	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.465	0.535	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.448	0.552	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.446	0.554	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.446	0.554	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.444	0.556	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.429	0.571	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.428	0.572	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.425	0.574	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.422	0.578	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.415	0.585	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.411	0.588	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.390	0.610	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.387	0.612	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.386	0.614	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.382	0.618	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.375	0.619	0.006
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.345	0.654	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.342	0.658	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.342	0.658	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.334	0.666	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.326	0.673	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.303	0.697	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.280	0.720	0.001
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.280	0.720	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.272	0.727	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.260	0.740	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.244	0.755	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.239	0.761	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.233	0.767	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.231	0.769	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.215	0.784	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.215	0.785	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.211	0.789	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.205	0.795	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.195	0.805	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.184	0.816	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.172	0.828	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.152	0.848	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.149	0.851	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.143	0.857	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.143	0.857	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.142	0.858	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.125	0.874	0.001
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.121	0.879	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.108	0.891	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.105	0.895	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.104	0.896	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.098	0.902	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.079	0.921	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.078	0.922	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.072	0.928	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.071	0.928	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.071	0.929	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.070	0.929	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.066	0.933	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.065	0.935	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.059	0.941	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.056	0.943	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.052	0.948	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.051	0.949	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.051	0.949	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.047	0.953	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.041	0.959	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.040	0.960	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.039	0.961	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.039	0.961	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.035	0.965	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.035	0.965	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.035	0.965	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.032	0.968	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.031	0.969	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.031	0.969	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.027	0.973	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.026	0.974	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.023	0.976	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.017	0.983	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.015	0.985	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	0.985	0.015
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.012	0.988	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.012	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.011	0.988	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.011	0.989	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.011	0.989	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.010	0.990	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.008	0.992	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.008	0.992	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.007	0.993	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.007	0.993	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.007	0.993	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.007	0.993	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.006	0.993	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.006	0.994	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.006	0.994	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.006	0.994	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.006	0.994	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.005	0.994	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.005	0.995	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs8041227 lBF = `-0.03131` Chr`15` : `31,538,542`	0.000	0.995	0.005
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.004	0.995	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.003	0.997	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.003	0.997	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.003	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.003	0.997	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.003	0.997	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.002	0.998	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.002	0.998	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.002	0.998	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.002	0.998	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.998	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.000	0.998	0.002
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.002	0.998	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.002	0.998	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.002	0.998	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	0.998	0.002
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.002	0.998	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.002	0.998	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	0.998	0.002
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.002	0.998	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.998	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	0.998	0.002
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.002	0.998	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.001
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.001	0.999	0.000
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	0.999	0.001
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.001	0.999	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	0.999	0.001
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	0.999	0.001
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.001	0.999	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.001	0.999	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.001	0.999	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	0.999	0.001
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	0.999	0.001
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	0.999	0.001
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	0.999	0.001
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	0.999	0.001
rs4886585 lBF = `13.7456` Chr`15` : `79,026,315`	0.000	0.999	0.001
rs80162468 lBF = `13.7456` Chr`15` : `79,026,316`	0.000	0.999	0.001
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.000	0.999	0.001
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.000	0.999	0.001
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.000	0.999	0.001
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	0.999	0.001
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	0.999	0.001
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	0.999	0.001
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	0.999	0.001
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	0.999	0.001
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	0.999	0.001
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.000	0.999	0.001
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	0.999	0.001
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	0.999	0.001
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	0.999	0.001
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	0.999	0.001
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.000	0.999	0.001
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.000	0.999	0.001
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.000	0.999	0.001
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.000	0.999	0.001
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.000	0.999	0.001
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.000	0.999	0.001
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.000	0.999	0.001
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.000	0.999	0.001
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	0.999	0.001
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rs1378942 lBF = `4.54504` Chr`15` : `75,077,367`	0.000	0.999	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.000	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	0.999	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	0.999	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	0.999	0.001
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	0.999	0.001
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	0.999	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	0.999	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	0.999	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	1.000	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	1.000	0.000
rs711355 lBF = `-0.0844351` Chr`15` : `30,193,468`	0.000	1.000	0.000
rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	1.000	0.000
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.000	1.000	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.000	1.000	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	1.000	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.000	1.000	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.000	1.000	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	1.000	0.000
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	1.000	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	1.000	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	1.000	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	1.000	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	1.000	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	1.000	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	1.000	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	1.000	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	1.000	0.000
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	1.000	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	1.000	0.000
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	1.000	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	1.000	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	1.000	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	1.000	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.000	1.000	0.000
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	1.000	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.000	1.000	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	1.000	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.000	1.000	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	1.000	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	1.000	0.000
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6549

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6126

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9982

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9949

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9937

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9823

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9704

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9699

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9608

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9593

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9589

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9580

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9558

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9529

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9453

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9426

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9405

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9372

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9370

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9365

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9334

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9277

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9244

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9236

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9223

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9222

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9000

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8920

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8912

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8908

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8871

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8868

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8854

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8735

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8720

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8673

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8609

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8594

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8533

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8408

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8393

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8389

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8361

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8350

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8321

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8269

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8258

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8231

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8175

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8014

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7999

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7986

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7978

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7864

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7850

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7836

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7815

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7808

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7765

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7739

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7725

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7649

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7610

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7571

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7519

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7475

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7462

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7461

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7459

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7454

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7448

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7418

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7349

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7332

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7323

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7230

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7203

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7146

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7102

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7077

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6980

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6905

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6904

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6844

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6839

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6727

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6516

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6494

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6387

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6331

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6252

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6235

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6173

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6141

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6126

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6065

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6008

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5991

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5900

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5859

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5619

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5434

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5395

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5305

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5227

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5216

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5206

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5123

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4851

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4784

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4688

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4614

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4532

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4472

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4445

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4422

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4240

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3902

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3897

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3466

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3323

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3301

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3292

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3250

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3212

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3196

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3111

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3107

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3101

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3044

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2779

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2531

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2468

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2294

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2137

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2047

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1888

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1809

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1712

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1656

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1601

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1600

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1533

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1529

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1417

Cluster X0311

log Bayes Factor = 92.5358

contains 5 variants

0.1348

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1275

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1274

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1123

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1000

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0972

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0960

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0862

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0739

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0715

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0645

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0643

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0633

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0533

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`)