TreeWAS – [Z83.4] Family history of other endocrine, nutritional and metabolic diseases

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
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.722	0.278	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.662	0.338	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.651	0.349	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.641	0.359	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.640	0.360	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.615	0.385	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.611	0.389	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.603	0.397	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.590	0.410	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.539	0.461	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.529	0.471	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.525	0.475	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.513	0.486	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.513	0.487	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.510	0.490	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.504	0.496	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.503	0.497	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.474	0.526	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.471	0.529	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.465	0.535	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.453	0.547	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.452	0.547	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.449	0.550	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.441	0.559	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.433	0.567	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.432	0.568	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.421	0.579	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.402	0.597	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.400	0.600	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.399	0.601	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.393	0.606	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.392	0.608	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.390	0.609	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.387	0.612	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.387	0.613	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.382	0.618	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.378	0.622	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.347	0.653	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.340	0.660	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.330	0.670	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.327	0.673	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.322	0.677	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.284	0.715	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.283	0.717	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.225	0.773	0.002
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.222	0.778	0.001
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.221	0.779	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.221	0.779	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.211	0.788	0.001
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.206	0.793	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.205	0.795	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.167	0.833	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.167	0.833	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.163	0.836	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.158	0.842	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.146	0.854	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.118	0.882	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.114	0.886	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.101	0.898	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.101	0.899	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.089	0.911	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.087	0.913	0.001
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.086	0.914	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.083	0.916	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.077	0.923	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.062	0.937	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.059	0.941	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.048	0.952	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.046	0.953	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.043	0.957	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.030	0.970	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.023	0.976	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.022	0.978	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.021	0.979	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.018	0.982	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.017	0.982	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.983	0.016
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.016	0.984	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.014	0.986	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.010	0.990	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.009	0.991	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.008	0.992	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.008	0.992	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.992	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.007	0.993	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.007	0.993	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.007	0.993	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.006	0.994	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.996	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.004	0.996	0.000
rs7999699 lBF = `-0.0514856` Chr`13` : `48,369,730`	0.004	0.996	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.003	0.996	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.003	0.997	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.003	0.997	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.002	0.997	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	0.998	0.002
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.002	0.998	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	0.998	0.002
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.002	0.998	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.002	0.998	0.000
rs9564692 lBF = `1.00898` Chr`13` : `31,821,240`	0.002	0.998	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.002	0.998	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.001	0.998	0.000
rs9580312 lBF = `0.00270428` Chr`13` : `22,754,093`	0.002	0.998	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.001	0.998	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	0.999	0.001
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.001	0.999	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.001	0.999	0.000
rs7326068 lBF = `-0.0194431` Chr`13` : `21,209,512`	0.000	0.999	0.001
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.999	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	0.999	0.001
rs3764147 lBF = `4.36031` Chr`13` : `44,457,925`	0.001	0.999	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.001	0.999	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.999	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	0.999	0.001
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.001	0.999	0.000
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	0.999	0.001
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.001	0.999	0.000
rs9510787 lBF = `0.0167471` Chr`13` : `24,205,195`	0.000	0.999	0.001
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs11843309 lBF = `0.00003701` Chr`13` : `70,454,960`	0.001	0.999	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.001	0.999	0.000
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.001	0.999	0.000
rs148342344 lBF = `0.00005062` Chr`13` : `68,263,279`	0.001	0.999	0.000
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.001	0.999	0.000
rs146346907 lBF = `0.00013263` Chr`13` : `109,033,271`	0.001	0.999	0.000
rs641862 lBF = `0.00003313` Chr`13` : `110,790,232`	0.001	0.999	0.000
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
rs9324268 lBF = `0` Chr`13` : `112,836,655`	0.001	0.999	0.001
rs7140110 lBF = `0` Chr`13` : `114,544,024`	0.001	0.999	0.001
rs555212 lBF = `0` Chr`13` : `113,756,540`	0.001	0.999	0.001
rs187785117 lBF = `0` Chr`13` : `49,149,871`	0.001	0.999	0.001
rs182426545 lBF = `0` Chr`13` : `64,093,345`	0.001	0.999	0.001
rs9577381 lBF = `0` Chr`13` : `112,575,604`	0.001	0.999	0.001
rs9604153 lBF = `0` Chr`13` : `114,214,125`	0.001	0.999	0.001
rs1012053 lBF = `0` Chr`13` : `42,653,437`	0.001	0.999	0.001
rs141318698 lBF = `0` Chr`13` : `68,234,959`	0.001	0.999	0.001
rs10665 lBF = `0` Chr`13` : `113,752,831`	0.001	0.999	0.001
rs11838918 lBF = `0` Chr`13` : `79,410,574`	0.001	0.999	0.001
rs9522267 lBF = `0` Chr`13` : `112,196,367`	0.001	0.999	0.001
rs146168866 lBF = `0` Chr`13` : `113,966,989`	0.001	0.999	0.001
rs4907479 lBF = `0` Chr`13` : `113,659,108`	0.001	0.999	0.001
rs148788110 lBF = `0` Chr`13` : `68,366,201`	0.001	0.999	0.001
rs9555810 lBF = `0` Chr`13` : `112,181,437`	0.001	0.999	0.001
rs6041 lBF = `0` Chr`13` : `113,772,707`	0.001	0.999	0.001
rs9577729 lBF = `0` Chr`13` : `113,020,757`	0.001	0.999	0.001
rs9604529 lBF = `0` Chr`13` : `114,622,597`	0.001	0.999	0.001
rs141455065 lBF = `0` Chr`13` : `68,285,492`	0.001	0.999	0.001
rs138128600 lBF = `0` Chr`13` : `73,764,625`	0.001	0.999	0.001
rs190312121 lBF = `0` Chr`13` : `19,731,544`	0.001	0.999	0.001
rs561241 lBF = `0` Chr`13` : `113,760,034`	0.001	0.999	0.001
rs944899 lBF = `0` Chr`13` : `112,750,961`	0.001	0.999	0.001
rs9329350 lBF = `0` Chr`13` : `114,507,239`	0.001	0.999	0.001
rs2181540 lBF = `0` Chr`13` : `113,753,164`	0.001	0.999	0.001
rs9533095 lBF = `0` Chr`13` : `42,969,049`	0.001	0.999	0.001
rs185837131 lBF = `0` Chr`13` : `49,029,604`	0.001	0.999	0.001
rs1340490 lBF = `0` Chr`13` : `64,064,588`	0.001	0.999	0.001
rs7333181 lBF = `0` Chr`13` : `112,221,297`	0.001	0.999	0.001
rs7317038 lBF = `0` Chr`13` : `114,012,898`	0.001	0.999	0.001
rs6561030 lBF = `0` Chr`13` : `42,631,719`	0.001	0.999	0.001
rs150369165 lBF = `0` Chr`13` : `82,969,480`	0.001	0.999	0.001
rs7996217 lBF = `0` Chr`13` : `102,000,945`	0.001	0.999	0.001
rs11842874 lBF = `0` Chr`13` : `113,694,509`	0.001	0.999	0.001
rs78319313 lBF = `0` Chr`13` : `71,595,310`	0.001	0.999	0.001
rs9560113 lBF = `0` Chr`13` : `112,183,348`	0.001	0.999	0.001
rs3211770 lBF = `0` Chr`13` : `113,793,849`	0.001	0.999	0.001
rs1278769 lBF = `0` Chr`13` : `113,536,627`	0.001	0.999	0.001
rs3812831 lBF = `0` Chr`13` : `114,900,150`	0.001	0.999	0.001
rs186967887 lBF = `0` Chr`13` : `71,249,529`	0.001	0.999	0.001
rs7336690 lBF = `0` Chr`13` : `112,075,344`	0.001	0.999	0.001
rs488703 lBF = `0` Chr`13` : `113,770,876`	0.001	0.999	0.001
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	0.999	0.001
rs9513675 lBF = `-0.0960263` Chr`13` : `100,493,160`	0.000	0.999	0.001
rs138607199 lBF = `-0.0000045` Chr`13` : `68,268,012`	0.001	0.999	0.000
rs627871 lBF = `-0.00007697` Chr`13` : `34,906,055`	0.001	0.999	0.000
rs111834582 lBF = `-0.00282996` Chr`13` : `40,788,366`	0.001	0.999	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.001	0.999	0.000
rs490049 lBF = `0.00106161` Chr`13` : `33,564,863`	0.001	0.999	0.000
rs3106598 lBF = `-0.0639725` Chr`13` : `61,678,912`	0.000	0.999	0.001
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.001	0.999	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.000	0.999	0.001
rs16962638 lBF = `-0.00032597` Chr`13` : `104,186,919`	0.001	0.999	0.000
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.999	0.001
rs6563210 lBF = `-0.0138058` Chr`13` : `36,476,447`	0.001	0.999	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.001	0.999	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.000	0.999	0.001
rs648516 lBF = `0.00190169` Chr`13` : `38,829,622`	0.000	0.999	0.001
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.001	0.999	0.000
rs2246208 lBF = `-0.127081` Chr`13` : `53,652,128`	0.000	0.999	0.001
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	0.999	0.001
rs9506942 lBF = `-0.0916619` Chr`13` : `23,412,589`	0.000	0.999	0.001
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.000	0.999	0.001
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.000	0.999	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.000	0.999	0.001
rs68151129 lBF = `0.438048` Chr`13` : `94,983,445`	0.001	0.999	0.000
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rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	1.000	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.000	1.000	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.000	1.000	0.000
rs7984966 lBF = `-0.0111934` Chr`13` : `47,429,446`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs9572423 lBF = `-0.0204585` Chr`13` : `70,846,203`	0.000	1.000	0.000
rs17594362 lBF = `-0.0211249` Chr`13` : `42,139,245`	0.000	1.000	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.000	1.000	0.000
rs561437 lBF = `-0.0559522` Chr`13` : `110,936,227`	0.000	1.000	0.000
rs2149423 lBF = `-0.0696858` Chr`13` : `36,772,381`	0.000	1.000	0.000
rs7318731 lBF = `-0.0971247` Chr`13` : `22,709,670`	0.000	1.000	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	1.000	0.000
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	1.000	0.000
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.000	1.000	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	1.000	0.000
rs12431204 lBF = `-0.0507637` Chr`13` : `38,450,235`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs912330 lBF = `-0.0737766` Chr`13` : `99,131,294`	0.000	1.000	0.000
rs9517320 lBF = `-0.0794561` Chr`13` : `99,126,303`	0.000	1.000	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	1.000	0.000
rs9572182 lBF = `-0.121281` Chr`13` : `70,086,330`	0.000	1.000	0.000
rs10492418 lBF = `-0.125478` Chr`13` : `109,380,726`	0.000	1.000	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.000	1.000	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.000	1.000	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.000	1.000	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.000	1.000	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	1.000	0.000
rs201789 lBF = `0.287036` Chr`13` : `50,986,118`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs9537938 lBF = `0.142886` Chr`13` : `58,653,695`	0.000	1.000	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	1.000	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.000	1.000	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.000	1.000	0.000
rs59876823 lBF = `-0.00911228` Chr`13` : `100,734,524`	0.000	1.000	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs9536318 lBF = `-0.0349281` Chr`13` : `53,494,694`	0.000	1.000	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.000	1.000	0.000
rs4770433 lBF = `-0.0670353` Chr`13` : `23,903,791`	0.000	1.000	0.000
rs16854 lBF = `-0.0747142` Chr`13` : `110,755,832`	0.000	1.000	0.000
rs2892463 lBF = `-0.0864545` Chr`13` : `30,347,835`	0.000	1.000	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	1.000	0.000
rs9548050 lBF = `-0.113698` Chr`13` : `38,363,450`	0.000	1.000	0.000
rs1000589 lBF = `-0.124758` Chr`13` : `64,141,913`	0.000	1.000	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.000	1.000	0.000
rs1359790 lBF = `7.18734` Chr`13` : `80,717,156`	0.000	1.000	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	1.000	0.000
rs9546434 lBF = `0.116068` Chr`13` : `36,694,391`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.000	1.000	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	1.000	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.000	1.000	0.000
rs2027099 lBF = `0.0452098` Chr`13` : `67,043,092`	0.000	1.000	0.000
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	1.000	0.000
rs2220327 lBF = `0.0141401` Chr`13` : `64,946,698`	0.000	1.000	0.000
rs984300 lBF = `0.0139206` Chr`13` : `109,455,835`	0.000	1.000	0.000
rs9598783 lBF = `0.0134805` Chr`13` : `64,945,174`	0.000	1.000	0.000
rs1340319 lBF = `0.0124048` Chr`13` : `64,950,422`	0.000	1.000	0.000
rs9571178 lBF = `0.0104591` Chr`13` : `64,936,243`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs1034200 lBF = `-0.0067708` Chr`13` : `23,228,691`	0.000	1.000	0.000
rs17079247 lBF = `-0.0203209` Chr`13` : `85,665,879`	0.000	1.000	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	1.000	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	1.000	0.000
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs735539 lBF = `-0.0591338` Chr`13` : `21,280,034`	0.000	1.000	0.000
rs1146942 lBF = `-0.080268` Chr`13` : `80,819,729`	0.000	1.000	0.000
rs4318070 lBF = `-0.0888159` Chr`13` : `98,960,762`	0.000	1.000	0.000
rs9599848 lBF = `-0.0916314` Chr`13` : `72,048,096`	0.000	1.000	0.000
rs9600128 lBF = `-0.0938231` Chr`13` : `74,090,415`	0.000	1.000	0.000
rs11616380 lBF = `7.50102` Chr`13` : `80,705,315`	0.000	1.000	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	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

0.1970

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1455

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9519

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9219

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8839

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8746

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8722

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8691

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8639

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8596

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8524

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8296

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8288

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8046

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7966

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7957

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7938

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7912

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7859

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7775

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7463

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7375

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7361

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7274

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7170

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7092

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6940

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6918

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6846

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6798

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6777

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6762

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6730

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6711

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6677

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6593

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6580

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6562

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6469

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6446

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6393

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6358

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6326

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6239

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6148

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6042

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6018

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5223

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5200

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5141

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5141

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5045

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4998

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4900

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4756

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4639

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4555

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4553

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4528

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4488

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4459

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4420

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4389

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4306

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4177

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4158

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4130

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4094

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4092

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4018

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3958

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3945

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3933

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3892

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3802

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3769

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3672

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3618

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3553

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3536

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3533

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3522

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3492

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3174

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3083

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3061

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3003

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2989

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2956

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2935

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2887

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2745

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2592

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2420

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2371

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2338

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2322

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2250

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2216

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2202

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2194

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2178

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2092

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1760

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1712

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1580

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1543

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1526

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1494

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1490

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1428

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1427

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1359

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1321

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1272

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1257

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1193

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1031

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0988

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0941

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0935

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0922

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0851

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0771

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0764

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0739

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0736

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0640

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0596

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0592

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0538

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`)