TreeWAS – [I70] Atherosclerosis

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
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.900	0.100	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.855	0.145	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.839	0.161	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.835	0.165	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.834	0.166	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.818	0.182	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.803	0.197	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.796	0.204	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.787	0.212	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.782	0.218	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.762	0.238	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.762	0.238	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.752	0.247	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.751	0.249	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.748	0.252	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.745	0.255	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.744	0.256	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.741	0.259	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.739	0.261	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.735	0.265	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.729	0.271	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.722	0.278	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.715	0.285	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.709	0.291	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.708	0.292	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.707	0.293	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.707	0.293	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.695	0.304	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.670	0.330	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.668	0.332	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.668	0.332	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.665	0.335	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.664	0.336	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.659	0.341	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.659	0.341	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.659	0.341	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.641	0.359	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.631	0.369	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.624	0.376	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.619	0.380	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.613	0.387	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.604	0.396	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.602	0.398	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.602	0.398	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.595	0.405	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.594	0.406	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.587	0.412	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.583	0.417	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.581	0.419	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.576	0.424	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.575	0.425	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.570	0.430	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.568	0.432	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.559	0.441	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.559	0.441	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.558	0.442	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.556	0.444	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.555	0.444	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.549	0.451	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.547	0.452	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.541	0.459	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.541	0.459	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.530	0.470	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.529	0.471	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.527	0.473	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.522	0.478	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.519	0.481	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.519	0.481	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.518	0.482	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.514	0.486	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.505	0.495	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.501	0.498	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.496	0.504	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.493	0.507	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.477	0.522	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.476	0.524	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.472	0.528	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.461	0.539	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.444	0.556	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.436	0.564	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.431	0.569	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.570	0.430
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.429	0.571	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.427	0.573	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.405	0.595	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.394	0.606	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.388	0.612	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.374	0.626	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.363	0.637	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.338	0.662	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.329	0.671	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.314	0.686	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.308	0.692	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.302	0.698	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.296	0.703	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.295	0.704	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.283	0.716	0.001
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.281	0.718	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.255	0.745	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.252	0.747	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.251	0.749	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.235	0.765	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.211	0.789	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.192	0.808	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.172	0.827	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	0.843	0.157
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.151	0.849	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.144	0.855	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.139	0.860	0.001
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.138	0.861	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.127	0.873	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.118	0.882	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.118	0.882	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.106	0.893	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.103	0.896	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.100	0.899	0.001
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.099	0.901	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.097	0.903	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.095	0.905	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.087	0.913	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	0.914	0.085
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.085	0.915	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.075	0.924	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.062	0.937	0.001
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.053	0.947	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.051	0.948	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.050	0.950	0.000
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.047	0.953	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.043	0.957	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.037	0.963	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.036	0.964	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.034	0.966	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.033	0.967	0.000
rs9545047 lBF = `0.213006` Chr`13` : `79,859,456`	0.000	0.969	0.031
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.030	0.970	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.027	0.972	0.000
rs7336109 lBF = `-0.0350337` Chr`13` : `106,589,141`	0.023	0.977	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.023	0.977	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	0.977	0.022
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.021	0.978	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.021	0.979	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.019	0.981	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.019	0.981	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.018	0.982	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.018	0.982	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.015	0.984	0.000
rs9601248 lBF = `0.0261008` Chr`13` : `80,169,004`	0.015	0.985	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.012	0.988	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.011	0.989	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.011	0.989	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.009	0.991	0.000
rs2027099 lBF = `0.0452098` Chr`13` : `67,043,092`	0.000	0.991	0.009
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.008	0.991	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.007	0.992	0.002
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.008	0.992	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.008	0.992	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.007	0.993	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.007	0.993	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.007	0.993	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.006	0.993	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	0.994	0.006
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.006	0.994	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.994	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.005	0.994	0.000
rs4886238 lBF = `0.00560033` Chr`13` : `61,113,739`	0.005	0.995	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.005	0.995	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.005	0.995	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.005	0.995	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.005	0.995	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.004	0.996	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.004	0.996	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.004	0.996	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.003	0.996	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.003	0.997	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.003	0.997	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.003	0.997	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.003	0.997	0.000
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.997	0.003
rs7984606 lBF = `0.00767471` Chr`13` : `70,455,661`	0.003	0.997	0.000
rs2094900 lBF = `-0.07103` Chr`13` : `110,267,249`	0.003	0.997	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.997	0.000
rs12428086 lBF = `0.502216` Chr`13` : `36,441,099`	0.002	0.998	0.000
rs969962 lBF = `-0.0325855` Chr`13` : `88,762,346`	0.000	0.998	0.002
rs9546434 lBF = `0.116068` Chr`13` : `36,694,391`	0.002	0.998	0.000
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.002	0.998	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.002	0.998	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	0.998	0.002
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.002	0.998	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	0.998	0.002
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.001	0.998	0.001
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.001	0.998	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.001	0.998	0.000
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.001	0.998	0.000
rs9581094 lBF = `-0.0257043` Chr`13` : `25,082,630`	0.000	0.999	0.001
rs9517302 lBF = `-0.0314608` Chr`13` : `99,096,034`	0.001	0.999	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.001	0.999	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.000	0.999	0.001
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rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs9515201 lBF = `0.872004` Chr`13` : `111,040,798`	0.000	1.000	0.000
rs55940034 lBF = `0.737182` Chr`13` : `111,043,309`	0.000	1.000	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs9512730 lBF = `0.00894069` Chr`13` : `28,077,144`	0.000	1.000	0.000
rs9788333 lBF = `-0.0119888` Chr`13` : `21,876,096`	0.000	1.000	0.000
rs17079247 lBF = `-0.0203209` Chr`13` : `85,665,879`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs35669975 lBF = `0.321569` Chr`13` : `107,790,401`	0.000	1.000	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs111859823 lBF = `0.00503855` Chr`13` : `110,660,190`	0.000	1.000	0.000
rs571411 lBF = `0.0034058` Chr`13` : `34,903,092`	0.000	1.000	0.000
rs7984966 lBF = `-0.0111934` Chr`13` : `47,429,446`	0.000	1.000	0.000
rs9317284 lBF = `-0.0274082` Chr`13` : `63,634,350`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs4886088 lBF = `-0.0643618` Chr`13` : `59,128,526`	0.000	1.000	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs9512637 lBF = `0.153392` Chr`13` : `27,920,611`	0.000	1.000	0.000
rs9600103 lBF = `0.0750118` Chr`13` : `73,811,879`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	1.000	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs753955 lBF = `-0.027618` Chr`13` : `24,293,859`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs4083578 lBF = `-0.0385411` Chr`13` : `72,768,709`	0.000	1.000	0.000
rs9600128 lBF = `-0.0938231` Chr`13` : `74,090,415`	0.000	1.000	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	1.000	0.000
rs4942486 lBF = `0.543847` Chr`13` : `32,953,388`	0.000	1.000	0.000
rs9594738 lBF = `0.470652` Chr`13` : `42,952,145`	0.000	1.000	0.000
rs8001611 lBF = `0.358842` Chr`13` : `42,965,694`	0.000	1.000	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs3765535 lBF = `-0.0181042` Chr`13` : `95,815,535`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	1.000	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	1.000	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	1.000	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	1.000	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs79490558 lBF = `-0.00311595` Chr`13` : `45,886,186`	0.000	1.000	0.000
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.000	1.000	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.000	1.000	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.000	1.000	0.000
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.000	1.000	0.000
rs7328464 lBF = `0.182186` Chr`13` : `92,501,664`	0.000	1.000	0.000
rs9557207 lBF = `0.114754` Chr`13` : `100,036,418`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs1409173 lBF = `0.00207526` Chr`13` : `94,940,309`	0.000	1.000	0.000
rs9531006 lBF = `0.00151083` Chr`13` : `80,551,563`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000
rs9533425 lBF = `-0.0114279` Chr`13` : `43,770,474`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs1330598 lBF = `-0.0340981` Chr`13` : `61,933,131`	0.000	1.000	0.000
rs589636 lBF = `-0.04866` Chr`13` : `77,516,576`	0.000	1.000	0.000
rs1333026 lBF = `-0.0536107` Chr`13` : `66,120,784`	0.000	1.000	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	1.000	0.000
rs2806731 lBF = `-0.0605772` Chr`13` : `54,290,333`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.000	1.000	0.000
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.000	1.000	0.000
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	0.000	1.000	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.000	1.000	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	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
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	1.000	0.000
rs2785946 lBF = `-0.0938217` Chr`13` : `54,929,198`	0.000	1.000	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	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 X0034

log Bayes Factor = 665.104

contains 16 variants

0.7960

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.7252

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3595

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3454

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2841

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.9998

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9988

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9975

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9959

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9940

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9940

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9937

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9922

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9909

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9895

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9849

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9843

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9836

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9819

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9766

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9737

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9729

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9632

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9609

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9587

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9532

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9529

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9512

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9505

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9490

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9474

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9464

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9389

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9374

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9355

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9351

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9325

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9302

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9290

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9267

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9233

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9171

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9149

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9074

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9070

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9055

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9006

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8986

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8947

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8943

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8927

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8920

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8895

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8883

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8880

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8824

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8816

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8779

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8774

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8728

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8727

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8648

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8620

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8605

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8566

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8558

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8520

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8516

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8512

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8490

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8454

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8450

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8434

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8405

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8386

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8317

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8306

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8301

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8289

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8289

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8278

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8264

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8250

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8245

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8225

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8221

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8194

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8192

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8163

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8160

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8143

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8138

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8128

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8124

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8115

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8001

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7998

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7982

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7956

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7954

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7953

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7948

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7915

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7895

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7892

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7859

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7850

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7841

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7840

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7772

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7763

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7646

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7629

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7628

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7616

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7611

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7591

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7579

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7530

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7530

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7478

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7468

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7449

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7358

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7356

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7353

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7253

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7192

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7167

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7116

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7100

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7017

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6998

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6957

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6945

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6941

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6919

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6892

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6836

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6812

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6661

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6649

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6635

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6634

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6559

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6548

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6543

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6516

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6356

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6350

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6222

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6179

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6175

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6158

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.6117

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6109

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6078

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6018

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6006

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5924

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5792

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5775

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5766

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5758

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5587

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5567

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5552

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5373

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5361

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5241

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5229

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5217

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5076

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5062

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4995

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4754

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4500

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4186

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3968

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3880

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3615

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3471

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3304

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3154

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3004

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2616

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2311

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2118

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1689

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1530

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1308

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1224

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1058

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0888

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0651

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0623

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0558

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0528

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.

Parent term	I70-I79 Diseases of arteries, arterioles and capillaries
Nested terms	I70.0 Atherosclerosis of aorta I70.1 Atherosclerosis of renal artery I70.2 Atherosclerosis of arteries of the extremities I70.8 Atherosclerosis of other arteries I70.9 Generalised and unspecified atherosclerosis

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`)