TreeWAS – [O20.0] Threatened abortion

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
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.830	0.170	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.786	0.214	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.772	0.228	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.764	0.236	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.755	0.245	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.688	0.312	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.654	0.346	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.632	0.368	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.606	0.394	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.591	0.409	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.587	0.413	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.567	0.433	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.559	0.441	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.558	0.441	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.550	0.450	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.544	0.456	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.543	0.457	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.529	0.471	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.527	0.473	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.516	0.484	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.498	0.502	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.467	0.533	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.465	0.535	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.464	0.536	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.461	0.539	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.445	0.554	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.429	0.571	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.425	0.575	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.417	0.583	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.412	0.588	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.409	0.591	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.401	0.598	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.400	0.600	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.391	0.609	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.379	0.621	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.371	0.629	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.368	0.632	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.343	0.657	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.340	0.660	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.340	0.660	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.327	0.672	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.319	0.681	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.312	0.688	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.309	0.690	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.307	0.693	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.304	0.695	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.287	0.712	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.287	0.713	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.720	0.279
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.277	0.723	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.277	0.723	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.275	0.725	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.273	0.727	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.270	0.729	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.268	0.732	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.265	0.735	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.261	0.739	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.261	0.739	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.260	0.739	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.255	0.745	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.245	0.754	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.246	0.754	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.235	0.764	0.001
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.235	0.765	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.230	0.769	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.230	0.770	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.230	0.770	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.219	0.781	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.210	0.789	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.207	0.793	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.205	0.795	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.203	0.797	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.200	0.800	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.198	0.801	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.187	0.813	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.184	0.816	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.181	0.818	0.001
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.178	0.821	0.001
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.173	0.827	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.170	0.830	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.162	0.837	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.163	0.837	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.162	0.838	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.160	0.839	0.001
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.158	0.842	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.157	0.843	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.156	0.844	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.149	0.849	0.001
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.146	0.854	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.141	0.858	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.135	0.865	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.134	0.865	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.127	0.873	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.121	0.879	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.117	0.883	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.114	0.886	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.113	0.886	0.001
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.108	0.892	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.105	0.894	0.001
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.100	0.899	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.099	0.901	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.092	0.908	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.089	0.911	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.084	0.916	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.083	0.917	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.079	0.918	0.003
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.078	0.921	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.078	0.922	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.073	0.927	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.070	0.929	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.070	0.930	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.070	0.930	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.067	0.932	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.067	0.933	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.063	0.937	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.062	0.937	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.060	0.939	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.060	0.940	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.058	0.942	0.001
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.057	0.942	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.056	0.944	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.050	0.950	0.001
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.049	0.950	0.001
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.951	0.049
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.046	0.952	0.002
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.046	0.954	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.044	0.955	0.001
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.955	0.045
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.043	0.957	0.000
rs17485138 lBF = `-0.0455703` Chr`13` : `109,502,849`	0.000	0.958	0.042
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.042	0.958	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.041	0.959	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.039	0.961	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.022	0.961	0.017
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.038	0.961	0.001
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.038	0.961	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.037	0.963	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.036	0.964	0.000
rs9533425 lBF = `-0.0114279` Chr`13` : `43,770,474`	0.033	0.967	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.031	0.968	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.031	0.969	0.001
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.030	0.969	0.001
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.030	0.970	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.029	0.971	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.026	0.971	0.002
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.028	0.972	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.022	0.978	0.001
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.022	0.978	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.017	0.982	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.016	0.984	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.016	0.984	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.014	0.985	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.014	0.986	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.013	0.986	0.000
rs115694210 lBF = `-0.00229245` Chr`13` : `106,392,579`	0.013	0.987	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	0.987	0.013
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.012	0.988	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	0.988	0.012
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.011	0.989	0.001
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.011	0.989	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.010	0.989	0.001
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.008	0.991	0.001
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.009	0.991	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.008	0.991	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.008	0.992	0.000
rs1529276 lBF = `0.0221971` Chr`13` : `103,928,007`	0.008	0.992	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.007	0.993	0.000
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.007	0.993	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.007	0.993	0.000
rs10162002 lBF = `-0.0573758` Chr`13` : `24,042,510`	0.000	0.993	0.007
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs347412 lBF = `-0.0758012` Chr`13` : `42,786,680`	0.006	0.994	0.000
rs61959448 lBF = `-0.0341645` Chr`13` : `42,910,319`	0.000	0.994	0.006
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.002	0.994	0.004
rs302010 lBF = `0.00837433` Chr`13` : `70,719,462`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs2031532 lBF = `0.8144` Chr`13` : `50,080,847`	0.000	0.995	0.005
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs9557195 lBF = `0.122842` Chr`13` : `99,956,622`	0.005	0.995	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	0.995	0.005
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.003	0.996	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.996	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.003	0.997	0.000
rs9317284 lBF = `-0.0274082` Chr`13` : `63,634,350`	0.003	0.997	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	0.997	0.003
rs912294 lBF = `-0.077738` Chr`13` : `31,698,294`	0.000	0.997	0.003
rs11838776 lBF = `0.272241` Chr`13` : `111,040,681`	0.000	0.997	0.003
rs1146942 lBF = `-0.080268` Chr`13` : `80,819,729`	0.003	0.997	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.002	0.997	0.001
rs9557207 lBF = `0.114754` Chr`13` : `100,036,418`	0.003	0.997	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.003	0.997	0.000
rs2039553 lBF = `-0.0591265` Chr`13` : `80,299,722`	0.003	0.997	0.000
rs2483374 lBF = `-0.00709926` Chr`13` : `25,533,831`	0.000	0.997	0.003
rs969962 lBF = `-0.0325855` Chr`13` : `88,762,346`	0.003	0.997	0.000
rs1347190 lBF = `0.0223604` Chr`13` : `100,648,099`	0.000	0.997	0.003
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.002	0.997	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	0.998	0.002
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rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.000	0.999	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	0.999	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	0.999	0.001
rs11618212 lBF = `-0.0295391` Chr`13` : `106,096,812`	0.000	0.999	0.001
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	0.999	0.000
rs12583882 lBF = `-0.0542978` Chr`13` : `47,573,616`	0.000	0.999	0.001
rs4883955 lBF = `-0.0896667` Chr`13` : `74,433,807`	0.001	0.999	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	0.999	0.000
rs693839 lBF = `-0.013975` Chr`13` : `80,958,288`	0.000	0.999	0.001
rs8000245 lBF = `-0.0460945` Chr`13` : `74,730,392`	0.000	0.999	0.001
rs3106598 lBF = `-0.0639725` Chr`13` : `61,678,912`	0.001	0.999	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.999	0.000
rs548097 lBF = `0.0503721` Chr`13` : `75,776,268`	0.000	0.999	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	0.999	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	0.999	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	0.999	0.000
rs111859823 lBF = `0.00503855` Chr`13` : `110,660,190`	0.000	0.999	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	0.999	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	0.999	0.001
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	0.999	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	1.000	0.000
rs12018439 lBF = `0.028387` Chr`13` : `85,391,073`	0.000	1.000	0.000
rs9574246 lBF = `0.0015373` Chr`13` : `79,038,429`	0.000	1.000	0.000
rs13542 lBF = `-0.0202939` Chr`13` : `100,638,392`	0.000	1.000	0.000
rs2044117 lBF = `-0.0720176` Chr`13` : `101,708,310`	0.000	1.000	0.000
rs2204037 lBF = `-0.0756867` Chr`13` : `63,436,800`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs9595066 lBF = `-0.0621154` Chr`13` : `44,706,268`	0.000	1.000	0.000
rs9536591 lBF = `-0.0990323` Chr`13` : `54,581,087`	0.000	1.000	0.000
rs9557635 lBF = `0.205787` Chr`13` : `102,051,090`	0.000	1.000	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.000	1.000	0.000
rs9315385 lBF = `0.00077407` Chr`13` : `36,663,302`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	1.000	0.000
rs534870 lBF = `-0.0283121` Chr`13` : `80,959,207`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs7995215 lBF = `-0.0819467` Chr`13` : `94,408,506`	0.000	1.000	0.000
rs679805 lBF = `6.99103` Chr`13` : `80,747,701`	0.000	1.000	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs9572423 lBF = `-0.0204585` Chr`13` : `70,846,203`	0.000	1.000	0.000
rs17079928 lBF = `-0.071019` Chr`13` : `24,654,228`	0.000	1.000	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.000	1.000	0.000
rs9594293 lBF = `0.0381137` Chr`13` : `39,370,595`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs2051090 lBF = `-0.0900072` Chr`13` : `36,454,193`	0.000	1.000	0.000
rs9599848 lBF = `-0.0916314` Chr`13` : `72,048,096`	0.000	1.000	0.000
rs9574565 lBF = `0.127341` Chr`13` : `80,668,874`	0.000	1.000	0.000
rs1116255 lBF = `0.00049198` Chr`13` : `55,489,005`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs9543976 lBF = `-0.0429371` Chr`13` : `76,136,648`	0.000	1.000	0.000
rs2148072 lBF = `0.0194161` Chr`13` : `43,162,063`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs6563353 lBF = `-0.0259769` Chr`13` : `84,130,232`	0.000	1.000	0.000
rs9512637 lBF = `0.153392` Chr`13` : `27,920,611`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs9574199 lBF = `-0.0436702` Chr`13` : `78,808,914`	0.000	1.000	0.000
rs7989332 lBF = `-0.0789607` Chr`13` : `21,050,575`	0.000	1.000	0.000
rs11148252 lBF = `-0.0792541` Chr`13` : `53,009,048`	0.000	1.000	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.000	1.000	0.000
rs9568856 lBF = `0.0179436` Chr`13` : `54,064,981`	0.000	1.000	0.000
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs9518810 lBF = `-0.0485096` Chr`13` : `103,343,428`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	1.000	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs17267292 lBF = `0.0220614` Chr`13` : `93,323,146`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs9580312 lBF = `0.00270428` Chr`13` : `22,754,093`	0.000	1.000	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs9535020 lBF = `-0.0486569` Chr`13` : `48,923,808`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.000	1.000	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.000	1.000	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs3118906 lBF = `0.120464` Chr`13` : `51,106,788`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5610

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9732

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9674

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9542

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9388

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9338

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9324

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8875

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8866

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8835

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8488

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8314

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8070

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8046

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7956

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7757

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7433

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7251

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7246

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7021

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6954

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6851

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6801

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6729

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6665

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6526

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6436

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6170

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6042

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5882

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5773

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5581

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5545

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5454

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5395

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5353

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5119

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5090

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5058

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5042

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4796

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4779

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4604

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4535

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4181

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3566

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3364

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3276

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3079

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2852

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2822

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2822

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2695

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2665

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2650

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2346

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2340

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2314

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2299

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2260

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2221

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2123

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1969

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1959

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1902

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1731

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1684

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1617

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1599

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1590

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1573

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1559

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1555

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1518

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1503

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1494

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1448

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1443

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1425

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1251

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1215

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1145

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1128

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1106

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1029

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1027

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1024

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1023

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0993

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0910

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0910

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0895

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0877

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0870

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0857

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0844

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0831

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0825

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0805

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0805

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0797

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0780

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0755

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0746

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0737

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0709

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0707

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0681

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0655

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0650

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0649

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0648

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0623

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0592

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0587

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0547

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0546

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0535

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0535

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0521

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0521

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0516

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`)