TreeWAS – [R48] Dyslexia and other symbolic dysfunctions, not elsewhere classified

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R48

Dyslexia and other symbolic dysfunctions, not elsewhere classified

Parent term	R47-R49 Symptoms and signs involving speech and voice
Nested terms	R48.0 Dyslexia and alexia R48.1 Agnosia R48.2 Apraxia R48.8 Other and unspecified symbolic dysfunctions

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Variant effects

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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
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.655	0.345	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.651	0.349	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.650	0.349	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.638	0.362	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.637	0.363	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.631	0.369	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.622	0.377	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.621	0.379	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.607	0.392	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.583	0.417	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.582	0.418	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.581	0.419	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.578	0.422	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.576	0.424	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.557	0.443	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.546	0.454	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.545	0.455	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.543	0.456	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.541	0.459	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.540	0.460	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.540	0.460	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.537	0.463	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.535	0.465	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.531	0.468	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.524	0.476	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.513	0.487	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.510	0.490	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.507	0.493	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.501	0.499	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.501	0.499	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.499	0.501	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.488	0.512	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.483	0.517	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.480	0.519	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.473	0.527	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.468	0.532	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.464	0.535	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.461	0.538	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.455	0.544	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.454	0.546	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.449	0.551	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.441	0.559	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.440	0.560	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.439	0.561	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.437	0.562	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.436	0.564	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.433	0.566	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.417	0.583	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.412	0.588	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.407	0.593	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.395	0.605	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.388	0.612	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.387	0.613	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.380	0.620	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.377	0.623	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.376	0.624	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.376	0.624	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.373	0.627	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.366	0.633	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.344	0.656	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.343	0.657	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.280	0.720	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.231	0.768	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.231	0.769	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.221	0.779	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.206	0.794	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.196	0.804	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.179	0.821	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.176	0.824	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.173	0.826	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.173	0.827	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.832	0.168
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.154	0.846	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.151	0.849	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.141	0.859	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.131	0.869	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.125	0.875	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.108	0.892	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.105	0.895	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	0.899	0.101
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.096	0.904	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.086	0.914	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.080	0.920	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.079	0.921	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.078	0.922	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.070	0.930	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.062	0.938	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.053	0.947	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.049	0.950	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.048	0.952	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.047	0.953	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.042	0.958	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.041	0.959	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.041	0.959	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.041	0.959	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.038	0.962	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.038	0.962	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.034	0.966	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.031	0.968	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.031	0.969	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.028	0.972	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.018	0.982	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.017	0.983	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.016	0.983	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.016	0.984	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.016	0.984	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.015	0.985	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.015	0.985	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.986	0.014
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.012	0.988	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.010	0.990	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.009	0.990	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.009	0.990	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.009	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.008	0.992	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.008	0.992	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.007	0.992	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.007	0.993	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.006	0.994	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.006	0.994	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.006	0.994	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.005	0.995	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.004	0.995	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.996	0.004
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.003	0.996	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.003	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.003	0.997	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.003	0.997	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.002	0.997	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	0.997	0.003
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.002	0.998	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	0.998	0.002
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.002	0.998	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.002	0.998	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.002	0.998	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.002	0.998	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.002	0.998	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.001	0.998	0.001
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.002	0.998	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.002	0.998	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.002	0.998	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.002	0.998	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.002	0.998	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.001	0.998	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.001	0.998	0.001
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.001	0.999	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.001	0.999	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.001	0.999	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	0.999	0.001
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.001	0.999	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.001	0.999	0.000
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
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rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	1.000	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	1.000	0.000
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	1.000	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	1.000	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	1.000	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	1.000	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	1.000	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	1.000	0.000
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.000	1.000	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	1.000	0.000
rs4886755 lBF = `-0.067757` Chr`15` : `76,298,132`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs11638815 lBF = `-0.08113` Chr`15` : `83,352,282`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	1.000	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5441

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3659

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7168

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7168

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7166

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7165

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7165

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7162

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7158

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7149

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7144

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7139

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7138

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7133

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7120

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7115

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7101

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7095

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7083

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7057

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7053

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7026

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7020

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7007

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6986

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6984

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6978

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6952

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6940

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6923

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6853

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6841

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6825

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6753

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6702

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6664

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6638

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6614

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6557

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6509

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6478

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6343

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6325

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6291

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6180

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6146

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6076

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6020

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6018

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5959

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5852

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5839

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5763

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5755

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5718

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5706

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5619

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5600

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5440

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5440

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5416

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5209

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5189

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5171

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5095

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5050

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5017

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5010

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4934

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4890

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4818

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4700

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4699

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4662

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4620

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4539

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4483

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4482

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4396

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4385

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4373

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4337

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4252

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4200

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4166

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4106

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4098

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4089

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4072

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4064

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3907

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3900

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3862

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3813

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3801

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3732

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3730

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3725

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3650

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3607

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3575

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3530

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3525

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3506

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3504

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3489

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3481

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3460

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3441

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3371

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3334

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3299

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3274

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3221

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3199

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3166

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3090

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2945

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2924

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2923

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2895

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2884

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2869

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2828

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2816

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2816

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2807

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2804

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2742

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2685

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2682

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2654

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2640

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2595

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2507

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2506

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2470

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2459

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2442

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2428

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2360

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2311

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2235

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2229

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2168

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2136

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2117

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2029

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2027

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2023

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2000

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1840

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1758

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1644

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1624

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1616

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1563

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1427

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.1414

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1289

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1121

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1117

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1093

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1037

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0608

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0601

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0554

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0547

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0502

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)

Hospitalization Episode Statistics (`HES`)