TreeWAS – [R47-R49] Symptoms and signs involving speech and voice

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R47-R49

Symptoms and signs involving speech and voice

Parent term	Chapter XVIII Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
Nested terms	R47 Speech disturbances, not elsewhere classified R48 Dyslexia and other symbolic dysfunctions, not elsewhere classified R49 Voice disturbances

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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
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.936	0.064	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.919	0.081	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.917	0.083	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.896	0.104	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.858	0.142	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.855	0.145	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.844	0.156	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.830	0.170	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.823	0.177	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.819	0.181	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.810	0.190	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.801	0.199	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.793	0.207	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.790	0.210	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.762	0.238	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.761	0.239	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.761	0.239	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.755	0.245	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.754	0.246	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.747	0.253	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.740	0.260	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.738	0.262	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.735	0.265	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.734	0.266	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.704	0.296	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.700	0.300	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.697	0.303	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.687	0.313	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.680	0.320	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.674	0.325	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.673	0.327	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.663	0.336	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.658	0.342	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.656	0.344	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.651	0.349	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.647	0.353	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.646	0.354	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.645	0.355	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.644	0.356	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.636	0.364	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.634	0.366	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.629	0.371	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.618	0.382	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.611	0.389	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.604	0.396	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.596	0.404	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.593	0.407	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.593	0.407	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.591	0.408	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.584	0.415	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.579	0.421	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.563	0.437	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.556	0.444	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.545	0.455	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.539	0.461	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.534	0.466	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.511	0.489	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.490	0.510
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.508	0.492	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.505	0.495	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.457	0.543	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.421	0.579	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.397	0.603	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.396	0.604	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.382	0.618	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.356	0.644	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.347	0.653	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.298	0.702	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.281	0.719	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.279	0.721	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.254	0.746	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.252	0.748	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.216	0.783	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.211	0.789	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.202	0.798	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.193	0.807	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.189	0.811	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.186	0.814	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.184	0.816	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.177	0.823	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.170	0.830	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.162	0.838	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.148	0.852	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.143	0.856	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.143	0.857	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.142	0.858	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.138	0.862	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.138	0.862	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.135	0.864	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.132	0.868	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.121	0.879	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.120	0.880	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.098	0.902	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.096	0.904	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.095	0.904	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.092	0.906	0.002
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.084	0.916	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.070	0.930	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.065	0.935	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.064	0.936	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.053	0.946	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.052	0.948	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.047	0.953	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.046	0.953	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.042	0.958	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.040	0.959	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.040	0.960	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.039	0.961	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.038	0.961	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.032	0.967	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.032	0.968	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.022	0.977	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.021	0.979	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.019	0.981	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.018	0.982	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.018	0.982	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.017	0.983	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.017	0.983	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.016	0.983	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.016	0.984	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.016	0.984	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.015	0.984	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.011	0.989	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.011	0.989	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.011	0.989	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.011	0.989	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.010	0.990	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.009	0.990	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.009	0.991	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.008	0.991	0.001
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.008	0.992	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.007	0.993	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.007	0.993	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.007	0.993	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.007	0.993	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.006	0.994	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.006	0.994	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.006	0.994	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.006	0.994	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.006	0.994	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.006	0.994	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.005	0.995	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.005	0.995	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.004	0.996	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.004	0.996	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.004	0.996	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	0.996	0.004
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.004	0.996	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.004	0.996	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.997	0.003
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.003	0.997	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.003	0.997	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.003	0.997	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.002	0.998	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.998	0.002
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.002	0.998	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.002	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.002	0.998	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	0.998	0.002
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.002	0.998	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.002	0.998	0.000
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	0.998	0.002
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.002	0.998	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.001	0.998	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.001	0.999	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.001	0.999	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	0.999	0.001
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.001	0.999	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.001	0.999	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.001	0.999	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.000	0.999	0.001
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
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rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	1.000	0.000
rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	1.000	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	1.000	0.000
rs9940536 lBF = `-0.0752707` Chr`16` : `79,155,917`	0.000	1.000	0.000
rs4240810 lBF = `-0.0986505` Chr`16` : `85,625,127`	0.000	1.000	0.000
rs424971 lBF = `-0.126894` Chr`16` : `85,946,450`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.000	1.000	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.000	1.000	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.000	1.000	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	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

0.7590

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5103

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0584

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9999

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9999

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9998

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9995

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9995

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9994

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9990

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9985

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9972

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9965

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9958

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9957

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9950

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9931

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9924

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9905

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9896

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9880

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9843

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9838

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9801

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9792

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9774

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9744

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9741

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9734

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9697

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9680

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9657

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9559

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9542

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9520

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9420

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9348

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9295

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9259

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9225

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9147

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9079

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9036

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8847

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8822

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8775

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8621

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8572

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8475

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8397

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8394

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8312

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8163

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8039

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8027

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7975

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7958

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7859

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7838

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7810

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7587

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7587

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7554

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7265

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7238

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7213

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7106

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7044

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6998

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6987

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6882

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6820

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6719

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6555

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6553

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6502

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6444

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6331

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6252

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6251

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6131

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6115

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6099

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6049

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5930

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5857

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5810

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5726

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5716

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5703

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5678

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5667

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5449

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5439

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5386

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5318

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5301

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5205

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5202

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5195

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5091

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5031

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4985

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4924

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4916

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4890

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4887

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4866

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4855

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4826

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4798

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4701

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4650

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4600

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4566

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4492

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4460

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4415

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4309

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4107

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4077

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4076

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4036

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4021

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4000

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3943

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3927

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3926

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3914

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3910

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3824

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3744

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3740

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3702

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3681

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3618

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3496

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3495

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3444

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3429

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3404

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3386

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3291

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3222

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3117

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3108

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3023

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2979

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2952

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2829

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2827

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2821

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2788

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2565

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2450

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2292

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2263

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2253

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2179

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1989

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.1827

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1797

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1556

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1556

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1522

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1445

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0846

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0836

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0770

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0761

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0698

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0682

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0665

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0631

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0621

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0617

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`)