TreeWAS – [J43.1] Panlobular emphysema

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
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.706	0.294	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.680	0.320	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.661	0.339	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.659	0.340	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.655	0.345	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.607	0.393	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.594	0.405	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.586	0.414	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.580	0.420	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.579	0.421	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.571	0.429	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.570	0.430	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.567	0.433	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.566	0.434	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.564	0.436	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.563	0.437	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.554	0.446	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.552	0.448	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.544	0.455	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.543	0.457	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.519	0.481	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.517	0.483	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.513	0.487	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.503	0.497	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.496	0.504	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.483	0.516	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.482	0.518	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.465	0.535	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.463	0.537	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.454	0.545	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.452	0.548	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.451	0.548	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.447	0.552	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.438	0.562	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.427	0.573	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.417	0.583	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.415	0.585	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.408	0.592	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.404	0.596	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.597	0.403
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.400	0.600	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.365	0.635	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.351	0.649	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.328	0.672	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.319	0.681	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.319	0.681	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.317	0.683	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.306	0.693	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.305	0.694	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.305	0.695	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.305	0.695	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.298	0.701	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.271	0.729	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.261	0.739	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.258	0.742	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.252	0.748	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.252	0.748	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.251	0.749	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.250	0.750	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.246	0.753	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.245	0.755	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.243	0.757	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.232	0.768	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.215	0.785	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.210	0.790	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.209	0.791	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.193	0.807	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.190	0.810	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.183	0.817	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.183	0.817	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	0.827	0.173
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.173	0.827	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.165	0.835	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.163	0.837	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.152	0.847	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.149	0.851	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.148	0.852	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.127	0.873	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.127	0.873	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.126	0.874	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.123	0.876	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.117	0.882	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.105	0.895	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.104	0.896	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.103	0.897	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.100	0.900	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.093	0.907	0.000
rs548097 lBF = `0.0503721` Chr`13` : `75,776,268`	0.000	0.912	0.088
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.085	0.914	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.084	0.915	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.084	0.916	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.078	0.922	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.075	0.924	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.075	0.925	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.065	0.935	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.063	0.937	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.061	0.938	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.055	0.944	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.054	0.946	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.054	0.946	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.051	0.949	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.050	0.950	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.048	0.952	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.048	0.952	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.045	0.955	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.044	0.956	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.043	0.957	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.041	0.959	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.038	0.962	0.000
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.038	0.962	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.037	0.963	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.035	0.964	0.001
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	0.965	0.035
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.033	0.966	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	0.968	0.032
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.031	0.969	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.031	0.969	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.024	0.976	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.023	0.977	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.020	0.979	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.020	0.980	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.020	0.980	0.000
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	0.980	0.020
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.019	0.980	0.001
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.019	0.980	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.019	0.981	0.000
rs8002014 lBF = `0.0552479` Chr`13` : `58,358,159`	0.017	0.983	0.000
rs9594221 lBF = `-0.0274964` Chr`13` : `38,118,531`	0.000	0.984	0.016
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.015	0.984	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.015	0.985	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.014	0.985	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.014	0.986	0.000
rs9547929 lBF = `-0.0303327` Chr`13` : `38,116,392`	0.000	0.986	0.014
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.012	0.988	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.011	0.988	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.011	0.989	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.011	0.989	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.010	0.990	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.008	0.992	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.008	0.992	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.008	0.992	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.008	0.992	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.007	0.993	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.007	0.993	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.007	0.993	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	0.994	0.006
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.006	0.994	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.005	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.994	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.005	0.995	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.005	0.995	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.005	0.995	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.995	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.005	0.995	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	0.996	0.004
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.003	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.996	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.003	0.997	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.003	0.997	0.000
rs9537938 lBF = `0.142886` Chr`13` : `58,653,695`	0.000	0.997	0.003
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.003	0.997	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.003	0.997	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.997	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.002	0.997	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	0.998	0.002
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.002	0.998	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.001	0.998	0.001
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	0.998	0.002
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.001	0.998	0.001
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.002	0.998	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.001	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	0.998	0.001
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.001	0.998	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	0.999	0.001
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.999	0.000
rs6563353 lBF = `-0.0259769` Chr`13` : `84,130,232`	0.000	0.999	0.001
rs1335882 lBF = `0.0445703` Chr`13` : `56,832,272`	0.000	0.999	0.001
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.001	0.999	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.001	0.999	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.001	0.999	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.001	0.999	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	0.999	0.001
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	0.999	0.001
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.999	0.001
rs9548988 lBF = `0.731953` Chr`13` : `40,505,510`	0.001	0.999	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.001	0.999	0.001
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	0.999	0.001
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.001	0.999	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	0.999	0.001
rs9515203 lBF = `8.96321` Chr`13` : `111,049,623`	0.000	0.999	0.001
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rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	1.000	0.000
rs9557754 lBF = `-0.0210492` Chr`13` : `102,553,248`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.000	1.000	0.000
rs690705 lBF = `-0.0278989` Chr`13` : `34,654,918`	0.000	1.000	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.000	1.000	0.000
rs7097 lBF = `-0.0579812` Chr`13` : `28,197,436`	0.000	1.000	0.000
rs1550546 lBF = `-0.0725951` Chr`13` : `70,658,404`	0.000	1.000	0.000
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.000	1.000	0.000
rs609418 lBF = `-0.0817155` Chr`13` : `37,417,427`	0.000	1.000	0.000
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.000	1.000	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	1.000	0.000
rs3764147 lBF = `4.36031` Chr`13` : `44,457,925`	0.000	1.000	0.000
rs3116602 lBF = `3.86436` Chr`13` : `51,111,355`	0.000	1.000	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	1.000	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	1.000	0.000
rs573666 lBF = `0.247218` Chr`13` : `51,194,405`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs4886238 lBF = `0.00560033` Chr`13` : `61,113,739`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs1409173 lBF = `0.00207526` Chr`13` : `94,940,309`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	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
rs13542 lBF = `-0.0202939` Chr`13` : `100,638,392`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs9584154 lBF = `-0.0343349` Chr`13` : `94,426,353`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	1.000	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs7998314 lBF = `-0.0691174` Chr`13` : `94,233,129`	0.000	1.000	0.000
rs1330950 lBF = `-0.0696998` Chr`13` : `107,338,801`	0.000	1.000	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.000	1.000	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	1.000	0.000
rs4770403 lBF = `-0.107346` Chr`13` : `23,755,127`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	0.000	1.000	0.000
rs9564692 lBF = `1.00898` Chr`13` : `31,821,240`	0.000	1.000	0.000
rs9805786 lBF = `0.372655` Chr`13` : `24,658,356`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	1.000	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.000	1.000	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs7328464 lBF = `0.182186` Chr`13` : `92,501,664`	0.000	1.000	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	1.000	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.000	1.000	0.000
rs6561750 lBF = `0.123951` Chr`13` : `54,435,237`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.000	1.000	0.000
rs17267292 lBF = `0.0220614` Chr`13` : `93,323,146`	0.000	1.000	0.000
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs9315385 lBF = `0.00077407` Chr`13` : `36,663,302`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs9533425 lBF = `-0.0114279` Chr`13` : `43,770,474`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs715921 lBF = `-0.0126854` Chr`13` : `24,795,489`	0.000	1.000	0.000
rs6563210 lBF = `-0.0138058` Chr`13` : `36,476,447`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs3765535 lBF = `-0.0181042` Chr`13` : `95,815,535`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs17594362 lBF = `-0.0211249` Chr`13` : `42,139,245`	0.000	1.000	0.000
rs7324557 lBF = `-0.0219179` Chr`13` : `24,296,862`	0.000	1.000	0.000
rs8001976 lBF = `-0.0239032` Chr`13` : `48,387,722`	0.000	1.000	0.000
rs12431307 lBF = `-0.0257713` Chr`13` : `80,644,618`	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 X0282

log Bayes Factor = 38.0098

contains 3 variants

0.7168

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4774

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.4545

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.1465

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7168

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7167

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7167

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7161

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7161

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7148

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7148

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7148

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7138

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7133

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7130

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.7127

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7112

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6986

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6947

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6934

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6872

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6840

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6772

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6664

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6603

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6597

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6499

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6497

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6407

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6208

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6161

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6150

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6075

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6046

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5961

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5883

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5837

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5837

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5824

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5714

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5702

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5616

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5559

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5541

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5498

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5145

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5043

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4992

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4951

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4711

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4479

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4241

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4240

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3947

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3870

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3793

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3716

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3656

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3647

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3598

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3582

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3494

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3451

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3438

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3362

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3358

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3315

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3303

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3263

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3182

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3157

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3089

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2959

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2878

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2798

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2609

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2593

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2567

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2524

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2513

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2462

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.2410

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2333

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2260

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2250

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2117

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2079

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2043

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2032

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1995

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1957

Cluster X0215

log Bayes Factor = 82.541

contains 5 variants

0.1541

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1485

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1480

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1400

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1320

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1236

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1234

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1131

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1043

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0995

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0970

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0907

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0680

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0594

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0564

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0550

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0507

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`)