TreeWAS – [R47.1] Dysarthria and anarthria

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
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.762	0.238	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.706	0.294	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.676	0.324	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.657	0.343	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.480	0.520
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.518	0.482	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.515	0.485	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.504	0.496	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.480	0.520	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.469	0.531	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.439	0.561	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.428	0.572	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.414	0.586	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.409	0.590	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.400	0.600	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.399	0.601	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.396	0.604	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.395	0.605	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.392	0.608	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.386	0.614	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.382	0.618	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.379	0.621	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.368	0.632	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.367	0.632	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.359	0.641	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.356	0.644	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.350	0.650	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.337	0.663	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.329	0.670	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.329	0.671	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.327	0.673	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.322	0.678	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.314	0.686	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.311	0.689	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.309	0.691	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.303	0.697	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.302	0.697	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.301	0.699	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.299	0.701	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.277	0.723	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.270	0.730	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.269	0.731	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.262	0.738	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.259	0.741	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.255	0.745	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.252	0.748	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.251	0.748	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.241	0.759	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.238	0.762	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.227	0.773	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.223	0.777	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.220	0.780	0.001
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.194	0.806	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.187	0.813	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.178	0.822	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.177	0.823	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.176	0.824	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.173	0.827	0.001
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.167	0.833	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.162	0.837	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.161	0.838	0.001
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.162	0.838	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.161	0.838	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.160	0.840	0.001
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.160	0.840	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.128	0.872	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.125	0.874	0.001
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.123	0.877	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.109	0.891	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.103	0.896	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.103	0.897	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.095	0.904	0.001
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.091	0.909	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.087	0.913	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.082	0.918	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.072	0.927	0.001
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.069	0.931	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.067	0.933	0.000
rs2812197 lBF = `-0.0321749` Chr`13` : `50,817,826`	0.000	0.943	0.057
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.054	0.946	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.050	0.950	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.044	0.956	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.042	0.958	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.036	0.964	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.035	0.965	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.034	0.966	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.033	0.967	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.032	0.968	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.031	0.969	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.029	0.971	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.029	0.971	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.028	0.972	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.026	0.974	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.025	0.975	0.001
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.024	0.975	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.024	0.976	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.021	0.978	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.021	0.979	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.020	0.979	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.021	0.979	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.018	0.982	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.016	0.983	0.001
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.016	0.984	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.015	0.985	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.014	0.986	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.013	0.987	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.013	0.987	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.012	0.988	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.010	0.990	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.009	0.990	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.009	0.991	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.009	0.991	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.009	0.991	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.008	0.991	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.008	0.992	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.008	0.992	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.007	0.993	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.006	0.993	0.001
rs958546 lBF = `-0.0707991` Chr`13` : `46,833,717`	0.000	0.993	0.007
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.006	0.994	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.994	0.000
rs642899 lBF = `-0.0255755` Chr`13` : `33,680,854`	0.006	0.994	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.005	0.995	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.005	0.995	0.000
rs1847505 lBF = `0.0685003` Chr`13` : `61,532,597`	0.005	0.995	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.005	0.995	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.004	0.995	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.995	0.004
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.004	0.995	0.000
rs4083578 lBF = `-0.0385411` Chr`13` : `72,768,709`	0.000	0.996	0.004
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.004	0.996	0.000
rs9517132 lBF = `-0.0720512` Chr`13` : `98,575,843`	0.004	0.996	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.004	0.996	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.996	0.000
rs9315204 lBF = `-0.0042702` Chr`13` : `33,693,837`	0.004	0.996	0.000
rs9520462 lBF = `-0.0283091` Chr`13` : `108,134,909`	0.004	0.996	0.000
rs2119480 lBF = `-0.101061` Chr`13` : `111,343,888`	0.000	0.996	0.004
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.000	0.996	0.004
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.003	0.996	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.003	0.997	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.003	0.997	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.003	0.997	0.000
rs9546434 lBF = `0.116068` Chr`13` : `36,694,391`	0.000	0.997	0.003
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.003	0.997	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.000	0.997	0.003
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.003	0.997	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.003	0.997	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.002	0.997	0.001
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.002	0.998	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.002	0.998	0.000
rs9652236 lBF = `-0.0460187` Chr`13` : `72,688,774`	0.002	0.998	0.000
rs9315385 lBF = `0.00077407` Chr`13` : `36,663,302`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.002	0.998	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.002	0.998	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.002	0.998	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.002	0.998	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.002	0.998	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.002	0.998	0.000
rs17536328 lBF = `-0.101345` Chr`13` : `43,143,029`	0.000	0.998	0.002
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.001	0.998	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.002	0.998	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.002	0.998	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.001	0.998	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	0.998	0.002
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.001	0.998	0.000
rs3118906 lBF = `0.120464` Chr`13` : `51,106,788`	0.002	0.998	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.001	0.998	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	0.998	0.002
rs6563210 lBF = `-0.0138058` Chr`13` : `36,476,447`	0.001	0.999	0.000
rs2785946 lBF = `-0.0938217` Chr`13` : `54,929,198`	0.000	0.999	0.001
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.000	0.999	0.001
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.000	0.999	0.001
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	0.999	0.001
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.001	0.999	0.001
rs693839 lBF = `-0.013975` Chr`13` : `80,958,288`	0.001	0.999	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.001	0.999	0.001
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.000	0.999	0.001
rs9512637 lBF = `0.153392` Chr`13` : `27,920,611`	0.000	0.999	0.001
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.001	0.999	0.000
rs7097 lBF = `-0.0579812` Chr`13` : `28,197,436`	0.001	0.999	0.000
rs954108 lBF = `-0.0893071` Chr`13` : `29,368,706`	0.000	0.999	0.001
rs9525638 lBF = `-0.0984176` Chr`13` : `43,128,577`	0.000	0.999	0.001
rs17655948 lBF = `-0.0324613` Chr`13` : `106,067,920`	0.000	0.999	0.001
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.001	0.999	0.000
rs534870 lBF = `-0.0283121` Chr`13` : `80,959,207`	0.001	0.999	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.001	0.999	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.001	0.999	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	0.999	0.001
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	0.000	0.999	0.001
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs4770837 lBF = `-0.0577583` Chr`13` : `26,037,960`	0.001	0.999	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.001	0.999	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.001	0.999	0.000
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rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.000	1.000	0.000
rs1239947 lBF = `-0.0197112` Chr`13` : `51,106,555`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	1.000	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs8002180 lBF = `0.0676503` Chr`13` : `95,922,765`	0.000	1.000	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	1.000	0.000
rs17079247 lBF = `-0.0203209` Chr`13` : `85,665,879`	0.000	1.000	0.000
rs9584805 lBF = `-0.0405176` Chr`13` : `98,994,030`	0.000	1.000	0.000
rs1575891 lBF = `-0.049822` Chr`13` : `48,198,716`	0.000	1.000	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	1.000	0.000
rs9302065 lBF = `0.280585` Chr`13` : `95,971,016`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs1000589 lBF = `-0.124758` Chr`13` : `64,141,913`	0.000	1.000	0.000
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.000	1.000	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.000	1.000	0.000
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.000	1.000	0.000
rs9590974 lBF = `0.178302` Chr`13` : `47,238,717`	0.000	1.000	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	1.000	0.000
rs1347190 lBF = `0.0223604` Chr`13` : `100,648,099`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs1927745 lBF = `0.173043` Chr`13` : `107,780,316`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs2483374 lBF = `-0.00709926` Chr`13` : `25,533,831`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	0.000
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs583464 lBF = `-0.0788608` Chr`13` : `104,091,545`	0.000	1.000	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	1.000	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs9531006 lBF = `0.00151083` Chr`13` : `80,551,563`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs9543976 lBF = `-0.0429371` Chr`13` : `76,136,648`	0.000	1.000	0.000
rs4771859 lBF = `-0.071821` Chr`13` : `93,088,651`	0.000	1.000	0.000
rs347412 lBF = `-0.0758012` Chr`13` : `42,786,680`	0.000	1.000	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.000	1.000	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.000	1.000	0.000
rs12585310 lBF = `0.545178` Chr`13` : `27,528,347`	0.000	1.000	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.000	1.000	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.000	1.000	0.000
rs1572591 lBF = `0.0442794` Chr`13` : `102,060,076`	0.000	1.000	0.000
rs9319321 lBF = `0.0395264` Chr`13` : `27,415,673`	0.000	1.000	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	1.000	0.000
rs1413191 lBF = `0.00657196` Chr`13` : `93,213,476`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs1330598 lBF = `-0.0340981` Chr`13` : `61,933,131`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs9558942 lBF = `-0.0605796` Chr`13` : `107,700,218`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs17667497 lBF = `-0.0685403` Chr`13` : `91,619,229`	0.000	1.000	0.000
rs7998314 lBF = `-0.0691174` Chr`13` : `94,233,129`	0.000	1.000	0.000
rs9520326 lBF = `-0.0860673` Chr`13` : `107,865,442`	0.000	1.000	0.000
rs3125719 lBF = `-0.0868272` Chr`13` : `29,990,966`	0.000	1.000	0.000
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs9574246 lBF = `0.0015373` Chr`13` : `79,038,429`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs17594362 lBF = `-0.0211249` Chr`13` : `42,139,245`	0.000	1.000	0.000
rs9536318 lBF = `-0.0349281` Chr`13` : `53,494,694`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs589636 lBF = `-0.04866` Chr`13` : `77,516,576`	0.000	1.000	0.000
rs2762051 lBF = `-0.0685734` Chr`13` : `50,835,715`	0.000	1.000	0.000
rs2253017 lBF = `-0.0704988` Chr`13` : `21,300,909`	0.000	1.000	0.000
rs609418 lBF = `-0.0817155` Chr`13` : `37,417,427`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.000	1.000	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	1.000	0.000
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.000	1.000	0.000
rs2031532 lBF = `0.8144` Chr`13` : `50,080,847`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs9584669 lBF = `0.111773` Chr`13` : `98,363,482`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs9594293 lBF = `0.0381137` Chr`13` : `39,370,595`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs7331540 lBF = `-0.0154477` Chr`13` : `32,710,520`	0.000	1.000	0.000
rs13542 lBF = `-0.0202939` Chr`13` : `100,638,392`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	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

0.4340

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1606

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9940

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9912

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9911

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9855

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9836

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9751

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9686

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9489

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9481

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9401

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9378

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9311

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9297

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9232

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9202

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9173

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9112

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9022

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8963

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8939

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8883

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8773

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8677

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8631

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8378

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8353

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7835

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7800

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7787

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7713

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7617

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7306

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7252

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7227

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7144

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7051

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6792

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6682

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6462

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6416

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6389

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6024

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6015

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6004

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5963

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5909

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5766

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5731

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5665

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5389

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5379

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5343

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5031

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4917

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4858

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4837

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4508

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4472

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4469

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4291

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4268

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4219

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4143

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3906

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3879

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3802

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3628

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3554

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3546

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3481

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3463

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3256

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3165

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3063

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3048

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3020

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2967

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2911

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2848

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2743

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2710

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2454

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2446

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2258

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2142

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2104

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2061

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2056

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2026

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1959

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1850

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1822

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1727

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1677

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1666

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1641

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1616

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1591

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1582

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1578

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1543

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1480

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1476

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1460

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1393

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1374

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1363

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1324

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1300

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1292

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1233

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1163

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1128

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1105

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1077

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1061

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1017

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0930

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0903

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0804

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0757

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0742

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0698

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0670

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0640

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0619

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0590

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0586

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0556

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`)