TreeWAS – [Z13.7] Special screening examination for congenital malformations, deformations and chromosomal abnormalities

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
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.712	0.288	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.710	0.290	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.695	0.305	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.681	0.319	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.637	0.363	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.605	0.395	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.589	0.411	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.570	0.430	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.546	0.454	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.535	0.464	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.531	0.468	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.516	0.484	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.483	0.516	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.477	0.523	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.475	0.525	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.473	0.527	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.380	0.620	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.358	0.642	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.358	0.642	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.351	0.649	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.340	0.659	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.334	0.666	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.333	0.666	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.308	0.692	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.303	0.697	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.292	0.708	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.290	0.709	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.285	0.715	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.273	0.726	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.263	0.736	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.258	0.742	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.245	0.755	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.241	0.758	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.237	0.762	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.228	0.772	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.225	0.775	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.223	0.777	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.222	0.778	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.211	0.789	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.211	0.789	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.200	0.800	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.195	0.805	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.194	0.806	0.001
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.181	0.819	0.001
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.155	0.845	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.848	0.152
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.138	0.862	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.137	0.862	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.137	0.862	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.136	0.864	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.133	0.867	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.126	0.874	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.119	0.880	0.001
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.107	0.893	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.107	0.893	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.102	0.898	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.095	0.904	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.090	0.909	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.088	0.912	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.085	0.915	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.084	0.916	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.082	0.917	0.001
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.083	0.917	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.082	0.918	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.082	0.918	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.080	0.920	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.079	0.921	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.076	0.923	0.001
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.071	0.929	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.070	0.930	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.065	0.934	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.064	0.936	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.063	0.937	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.060	0.940	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.060	0.940	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.054	0.946	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.052	0.948	0.001
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.049	0.951	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.047	0.953	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.046	0.954	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.043	0.956	0.001
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.044	0.956	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.043	0.957	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.043	0.957	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.041	0.959	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.041	0.959	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.040	0.960	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.037	0.963	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.034	0.966	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.032	0.968	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.028	0.972	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.026	0.974	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.025	0.975	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.015	0.985	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.015	0.985	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.015	0.985	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.014	0.986	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.013	0.987	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.012	0.988	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.011	0.989	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.009	0.990	0.001
rs9563576 lBF = `0.00138443` Chr`13` : `58,670,147`	0.000	0.990	0.010
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.009	0.990	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.009	0.991	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.009	0.991	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.007	0.993	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.007	0.993	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.007	0.993	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.007	0.993	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.007	0.993	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.006	0.994	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.006	0.994	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.006	0.994	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.994	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.005	0.995	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.005	0.995	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.004	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.995	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.004	0.996	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.004	0.996	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.000	0.996	0.003
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.003	0.997	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.003	0.997	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.003	0.997	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.003	0.997	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.003	0.997	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.003	0.997	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.002	0.997	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.001	0.998	0.002
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	0.998	0.002
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.002	0.998	0.000
rs9573163 lBF = `-0.0487735` Chr`13` : `73,908,846`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.002	0.998	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.002	0.998	0.000
rs9543325 lBF = `0.851222` Chr`13` : `73,916,628`	0.002	0.998	0.000
rs7325799 lBF = `0.132576` Chr`13` : `47,128,601`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.002	0.998	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.001	0.998	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.001	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.001	0.998	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.001	0.999	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.001	0.999	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.001	0.999	0.001
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	0.999	0.001
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.001	0.999	0.000
rs111834582 lBF = `-0.00282996` Chr`13` : `40,788,366`	0.001	0.999	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.001	0.999	0.000
rs17057285 lBF = `-0.00026026` Chr`13` : `38,737,821`	0.001	0.999	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.001	0.999	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.000	0.999	0.001
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.001	0.999	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.001	0.999	0.000
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs17371334 lBF = `0.0660533` Chr`13` : `85,032,327`	0.001	0.999	0.000
rs148342344 lBF = `0.00005062` Chr`13` : `68,263,279`	0.001	0.999	0.000
rs11843309 lBF = `0.00003701` Chr`13` : `70,454,960`	0.001	0.999	0.000
rs146346907 lBF = `0.00013263` Chr`13` : `109,033,271`	0.001	0.999	0.000
rs641862 lBF = `0.00003313` Chr`13` : `110,790,232`	0.001	0.999	0.000
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
rs10665 lBF = `0` Chr`13` : `113,752,831`	0.001	0.999	0.001
rs11838918 lBF = `0` Chr`13` : `79,410,574`	0.001	0.999	0.001
rs9522267 lBF = `0` Chr`13` : `112,196,367`	0.001	0.999	0.001
rs146168866 lBF = `0` Chr`13` : `113,966,989`	0.001	0.999	0.001
rs148788110 lBF = `0` Chr`13` : `68,366,201`	0.001	0.999	0.001
rs4907479 lBF = `0` Chr`13` : `113,659,108`	0.001	0.999	0.001
rs9555810 lBF = `0` Chr`13` : `112,181,437`	0.001	0.999	0.001
rs6041 lBF = `0` Chr`13` : `113,772,707`	0.001	0.999	0.001
rs141455065 lBF = `0` Chr`13` : `68,285,492`	0.001	0.999	0.001
rs138128600 lBF = `0` Chr`13` : `73,764,625`	0.001	0.999	0.001
rs9577729 lBF = `0` Chr`13` : `113,020,757`	0.001	0.999	0.001
rs9604529 lBF = `0` Chr`13` : `114,622,597`	0.001	0.999	0.001
rs190312121 lBF = `0` Chr`13` : `19,731,544`	0.001	0.999	0.001
rs561241 lBF = `0` Chr`13` : `113,760,034`	0.001	0.999	0.001
rs944899 lBF = `0` Chr`13` : `112,750,961`	0.001	0.999	0.001
rs9329350 lBF = `0` Chr`13` : `114,507,239`	0.001	0.999	0.001
rs9533095 lBF = `0` Chr`13` : `42,969,049`	0.001	0.999	0.001
rs185837131 lBF = `0` Chr`13` : `49,029,604`	0.001	0.999	0.001
rs1340490 lBF = `0` Chr`13` : `64,064,588`	0.001	0.999	0.001
rs2181540 lBF = `0` Chr`13` : `113,753,164`	0.001	0.999	0.001
rs6561030 lBF = `0` Chr`13` : `42,631,719`	0.001	0.999	0.001
rs7333181 lBF = `0` Chr`13` : `112,221,297`	0.001	0.999	0.001
rs7317038 lBF = `0` Chr`13` : `114,012,898`	0.001	0.999	0.001
rs78319313 lBF = `0` Chr`13` : `71,595,310`	0.001	0.999	0.001
rs150369165 lBF = `0` Chr`13` : `82,969,480`	0.001	0.999	0.001
rs7996217 lBF = `0` Chr`13` : `102,000,945`	0.001	0.999	0.001
rs11842874 lBF = `0` Chr`13` : `113,694,509`	0.001	0.999	0.001
rs9560113 lBF = `0` Chr`13` : `112,183,348`	0.001	0.999	0.001
rs3211770 lBF = `0` Chr`13` : `113,793,849`	0.001	0.999	0.001
rs186967887 lBF = `0` Chr`13` : `71,249,529`	0.001	0.999	0.001
rs1278769 lBF = `0` Chr`13` : `113,536,627`	0.001	0.999	0.001
rs3812831 lBF = `0` Chr`13` : `114,900,150`	0.001	0.999	0.001
rs7336690 lBF = `0` Chr`13` : `112,075,344`	0.001	0.999	0.001
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rs1359790 lBF = `7.18734` Chr`13` : `80,717,156`	0.000	1.000	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.000	1.000	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	1.000	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.000	1.000	0.000
rs1109630 lBF = `5.363` Chr`13` : `114,820,990`	0.000	1.000	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	1.000	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs9546434 lBF = `0.116068` Chr`13` : `36,694,391`	0.000	1.000	0.000
rs9554752 lBF = `0.111562` Chr`13` : `101,726,313`	0.000	1.000	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.000	1.000	0.000
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.000	1.000	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs302010 lBF = `0.00837433` Chr`13` : `70,719,462`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	1.000	0.000
rs1324015 lBF = `0.00278836` Chr`13` : `43,727,849`	0.000	1.000	0.000
rs9315385 lBF = `0.00077407` Chr`13` : `36,663,302`	0.000	1.000	0.000
rs9596863 lBF = `-0.00138453` Chr`13` : `54,434,647`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs16945184 lBF = `-0.0114295` Chr`13` : `91,755,199`	0.000	1.000	0.000
rs2555603 lBF = `-0.0119412` Chr`13` : `33,798,262`	0.000	1.000	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs9572423 lBF = `-0.0204585` Chr`13` : `70,846,203`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.000	1.000	0.000
rs7317940 lBF = `-0.0305334` Chr`13` : `78,021,218`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	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
rs9573194 lBF = `-0.0377602` Chr`13` : `74,004,376`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs9518810 lBF = `-0.0485096` Chr`13` : `103,343,428`	0.000	1.000	0.000
rs9535020 lBF = `-0.0486569` Chr`13` : `48,923,808`	0.000	1.000	0.000
rs589636 lBF = `-0.04866` Chr`13` : `77,516,576`	0.000	1.000	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs539514 lBF = `-0.0582911` Chr`13` : `76,326,282`	0.000	1.000	0.000
rs2806731 lBF = `-0.0605772` Chr`13` : `54,290,333`	0.000	1.000	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	1.000	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.000	1.000	0.000
rs7322916 lBF = `-0.0656561` Chr`13` : `26,007,977`	0.000	1.000	0.000
rs17667497 lBF = `-0.0685403` Chr`13` : `91,619,229`	0.000	1.000	0.000
rs4771859 lBF = `-0.071821` Chr`13` : `93,088,651`	0.000	1.000	0.000
rs285098 lBF = `-0.0731234` Chr`13` : `98,827,035`	0.000	1.000	0.000
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.000	1.000	0.000
rs583464 lBF = `-0.0788608` Chr`13` : `104,091,545`	0.000	1.000	0.000
rs4148546 lBF = `-0.095207` Chr`13` : `95,680,285`	0.000	1.000	0.000
rs10492418 lBF = `-0.125478` Chr`13` : `109,380,726`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.000	1.000	0.000
rs3095527 lBF = `8.71437` Chr`13` : `51,170,755`	0.000	1.000	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	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
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.000	1.000	0.000
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	1.000	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs12428086 lBF = `0.502216` Chr`13` : `36,441,099`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	1.000	0.000
rs11069349 lBF = `0.275302` Chr`13` : `99,774,647`	0.000	1.000	0.000
rs3885907 lBF = `0.241518` Chr`13` : `31,314,455`	0.000	1.000	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	1.000	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	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
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs1155848 lBF = `0.0842416` Chr`13` : `79,888,476`	0.000	1.000	0.000
rs2440012 lBF = `0.0835384` Chr`13` : `19,440,123`	0.000	1.000	0.000
rs9507983 lBF = `0.0822587` Chr`13` : `28,620,036`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs9600103 lBF = `0.0750118` Chr`13` : `73,811,879`	0.000	1.000	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	1.000	0.000
rs8002180 lBF = `0.0676503` Chr`13` : `95,922,765`	0.000	1.000	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.000	1.000	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.000	1.000	0.000
rs9599403 lBF = `0.032534` Chr`13` : `69,676,334`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	1.000	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	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

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)