TreeWAS – [Z36.3] Antenatal screening for malformations using ultrasound and other physical methods

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
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.818	0.182	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.714	0.286	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.669	0.331	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.668	0.332	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.652	0.348	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.641	0.359	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.629	0.371	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.625	0.375	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.588	0.412	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.586	0.414	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.584	0.415	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.573	0.427	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.573	0.427	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.559	0.441	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.546	0.454	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.537	0.463	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.529	0.471	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.526	0.473	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.507	0.492	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.475	0.524	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.472	0.528	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.465	0.535	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.443	0.557	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.430	0.570	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.429	0.571	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.427	0.573	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.424	0.575	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.422	0.578	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.420	0.580	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.413	0.586	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.413	0.587	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.412	0.588	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.409	0.591	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.409	0.591	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.405	0.595	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.403	0.597	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.390	0.610	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.386	0.614	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.385	0.615	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.381	0.619	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.378	0.622	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.377	0.623	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.373	0.627	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.370	0.630	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.367	0.633	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.366	0.634	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.362	0.638	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.362	0.638	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.361	0.639	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.354	0.646	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.331	0.669	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.329	0.671	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.324	0.675	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.324	0.676	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.323	0.676	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.319	0.680	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.314	0.686	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.309	0.690	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.305	0.695	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.304	0.696	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.304	0.696	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.296	0.704	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.278	0.721	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.271	0.728	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.270	0.730	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.258	0.742	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.257	0.743	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.255	0.745	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.248	0.752	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.246	0.754	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.243	0.757	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.236	0.763	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.234	0.766	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.222	0.778	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.220	0.780	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.215	0.784	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.213	0.787	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.210	0.790	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.209	0.790	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.209	0.791	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.194	0.806	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.188	0.812	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.182	0.818	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.175	0.824	0.001
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.164	0.836	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.161	0.839	0.001
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.160	0.839	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.158	0.842	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.152	0.848	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.148	0.852	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.143	0.856	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.141	0.859	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.130	0.870	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.124	0.875	0.001
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.123	0.877	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.118	0.881	0.001
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.112	0.887	0.001
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.112	0.888	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.107	0.893	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.106	0.894	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.896	0.104
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.103	0.897	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.102	0.898	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.102	0.898	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.097	0.902	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.095	0.905	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.094	0.906	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.089	0.911	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.087	0.913	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.084	0.915	0.000
rs12296850 lBF = `0.0454461` Chr`12` : `100,820,085`	0.084	0.916	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.081	0.919	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.080	0.920	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.079	0.920	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.076	0.924	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.075	0.925	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.072	0.927	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.072	0.928	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.070	0.930	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.070	0.930	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.065	0.935	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.064	0.936	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.064	0.936	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.063	0.937	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.055	0.945	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.054	0.946	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.051	0.948	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.050	0.950	0.001
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.047	0.953	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.044	0.956	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.043	0.956	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.043	0.957	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.043	0.957	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.041	0.958	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.041	0.959	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.041	0.959	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.041	0.959	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.040	0.959	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.040	0.960	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.038	0.962	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.038	0.962	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.036	0.964	0.001
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.035	0.964	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.032	0.968	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.032	0.968	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.032	0.968	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.030	0.969	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.029	0.970	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.030	0.970	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.027	0.973	0.000
rs2261181 lBF = `5.79392` Chr`12` : `66,212,318`	0.000	0.973	0.027
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.973	0.027
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.026	0.974	0.000
rs11049300 lBF = `0.0426733` Chr`12` : `28,195,125`	0.025	0.975	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.025	0.975	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.001	0.975	0.024
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.024	0.976	0.000
rs343092 lBF = `6.85645` Chr`12` : `66,250,940`	0.000	0.976	0.024
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.023	0.976	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.023	0.977	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.023	0.977	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.023	0.977	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.020	0.979	0.000
rs4768903 lBF = `0.0530954` Chr`12` : `51,045,449`	0.000	0.982	0.018
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.017	0.982	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.017	0.983	0.000
rs1520724 lBF = `-0.0859024` Chr`12` : `94,865,477`	0.016	0.984	0.000
rs2686555 lBF = `1.74364` Chr`12` : `121,095,172`	0.015	0.985	0.000
rs10505725 lBF = `-0.0339208` Chr`12` : `2,056,363`	0.015	0.985	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.013	0.986	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.012	0.987	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.011	0.988	0.001
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.011	0.988	0.000
rs113641325 lBF = `-0.0227385` Chr`12` : `79,539,759`	0.000	0.989	0.011
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.011	0.989	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.011	0.989	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.011	0.989	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.010	0.989	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.010	0.990	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.009	0.990	0.000
rs258415 lBF = `1.25111` Chr`12` : `28,017,522`	0.000	0.991	0.009
rs687751 lBF = `20.8547` Chr`12` : `52,907,803`	0.009	0.991	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.009	0.991	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.009	0.991	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.008	0.992	0.001
rs3863381 lBF = `0.873288` Chr`12` : `106,103,568`	0.000	0.992	0.008
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.008	0.992	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.008	0.992	0.000
rs1531343 lBF = `3.25594` Chr`12` : `66,174,894`	0.000	0.992	0.008
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.008	0.992	0.000
rs11829548 lBF = `0.00753108` Chr`12` : `43,152,632`	0.000	0.992	0.008
rs7953528 lBF = `1.1414` Chr`12` : `28,017,159`	0.000	0.993	0.007
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.006	0.993	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.006	0.994	0.000
rs145863439 lBF = `1.25684` Chr`12` : `800,834`	0.000	0.994	0.006
rs144850704 lBF = `-0.0207004` Chr`12` : `118,062,074`	0.006	0.994	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.006	0.994	0.000
rs3782455 lBF = `0.0156366` Chr`12` : `114,359,265`	0.006	0.994	0.000
rs7312122 lBF = `0.0324516` Chr`12` : `113,158,838`	0.000	0.994	0.006
rs4765913 lBF = `-0.0639315` Chr`12` : `2,419,896`	0.006	0.994	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.005	0.994	0.000
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rs143566192 lBF = `0` Chr`12` : `65,993,758`	0.001	0.999	0.001
rs12300553 lBF = `0` Chr`12` : `15,381,210`	0.001	0.999	0.001
rs3782886 lBF = `0` Chr`12` : `112,110,489`	0.001	0.999	0.001
rs143053231 lBF = `0` Chr`12` : `56,091,032`	0.001	0.999	0.001
rs10846617 lBF = `0` Chr`12` : `124,662,131`	0.001	0.999	0.001
rs191413231 lBF = `0` Chr`12` : `13,630,602`	0.001	0.999	0.001
rs4764124 lBF = `0` Chr`12` : `14,966,604`	0.001	0.999	0.001
rs191000678 lBF = `0` Chr`12` : `28,286,990`	0.001	0.999	0.001
rs137948794 lBF = `0` Chr`12` : `56,408,314`	0.001	0.999	0.001
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.001	0.999	0.000
rs10849931 lBF = `7.46303` Chr`12` : `111,753,808`	0.000	0.999	0.001
rs11833289 lBF = `-0.00000351` Chr`12` : `55,451,694`	0.001	0.999	0.000
rs8179116 lBF = `-0.00001761` Chr`12` : `109,025,427`	0.000	0.999	0.001
rs189340018 lBF = `-0.00002107` Chr`12` : `107,628,680`	0.001	0.999	0.000
rs147510300 lBF = `-0.0000275` Chr`12` : `86,318,548`	0.000	0.999	0.001
rs150696478 lBF = `-0.0000275` Chr`12` : `86,321,388`	0.000	0.999	0.001
rs12229654 lBF = `-0.00004675` Chr`12` : `111,414,461`	0.001	0.999	0.000
rs3026485 lBF = `-0.00004701` Chr`12` : `110,782,027`	0.000	0.999	0.001
rs193153567 lBF = `-0.00029294` Chr`12` : `48,946,231`	0.001	0.999	0.000
rs10849033 lBF = `0.0184301` Chr`12` : `4,425,122`	0.001	0.999	0.000
rs4759375 lBF = `-0.0438723` Chr`12` : `123,796,238`	0.000	0.999	0.001
rs2007044 lBF = `-0.00338348` Chr`12` : `2,344,960`	0.000	0.999	0.001
rs11104379 lBF = `-0.0312616` Chr`12` : `87,659,989`	0.001	0.999	0.000
rs11613092 lBF = `-0.048634` Chr`12` : `118,893,248`	0.000	0.999	0.001
rs57083693 lBF = `-0.0766627` Chr`12` : `101,742,180`	0.001	0.999	0.000
rs10859871 lBF = `0.0967619` Chr`12` : `95,711,876`	0.001	0.999	0.000
rs12425791 lBF = `0.00041025` Chr`12` : `783,484`	0.000	0.999	0.000
rs6487679 lBF = `-0.0441298` Chr`12` : `9,371,332`	0.001	0.999	0.000
rs10774622 lBF = `16.6683` Chr`12` : `111,833,348`	0.000	0.999	0.001
rs7304057 lBF = `0.0675331` Chr`12` : `131,352,562`	0.001	0.999	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.001	0.999	0.000
rs1569019 lBF = `-0.0293583` Chr`12` : `131,576,191`	0.001	0.999	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.001	0.999	0.000
rs7955374 lBF = `0.00082072` Chr`12` : `47,880,149`	0.000	0.999	0.001
rs4251424 lBF = `-0.00048778` Chr`12` : `44,153,826`	0.000	0.999	0.000
rs4765905 lBF = `-0.0358652` Chr`12` : `2,349,584`	0.000	0.999	0.001
rs11611208 lBF = `0.390606` Chr`12` : `20,758,613`	0.000	0.999	0.001
rs3026445 lBF = `0.0182986` Chr`12` : `110,723,203`	0.001	0.999	0.000
rs7976838 lBF = `-0.0167529` Chr`12` : `60,086,206`	0.001	0.999	0.000
rs11615916 lBF = `-0.0183791` Chr`12` : `62,610,860`	0.001	0.999	0.000
rs12282 lBF = `0.00394501` Chr`12` : `133,345,809`	0.001	0.999	0.000
rs11172055 lBF = `-0.00104577` Chr`12` : `57,308,260`	0.001	0.999	0.000
rs7968606 lBF = `-0.0460598` Chr`12` : `99,816,842`	0.000	0.999	0.001
rs56108400 lBF = `5.8095` Chr`12` : `56,213,297`	0.001	0.999	0.000
rs3825214 lBF = `0.207399` Chr`12` : `114,795,443`	0.000	0.999	0.001
rs10748180 lBF = `0.0453805` Chr`12` : `72,071,045`	0.000	0.999	0.001
rs7299940 lBF = `-0.0409832` Chr`12` : `131,390,754`	0.000	0.999	0.001
rs2389217 lBF = `-0.0760532` Chr`12` : `33,680,803`	0.000	0.999	0.001
rs1402279 lBF = `0.0579971` Chr`12` : `77,729,385`	0.000	0.999	0.001
rs4474514 lBF = `0.605549` Chr`12` : `88,953,959`	0.001	0.999	0.000
rs17121944 lBF = `-0.0102276` Chr`12` : `59,440,232`	0.001	0.999	0.000
rs10744775 lBF = `4.3423` Chr`12` : `112,096,215`	0.000	0.999	0.001
rs275380 lBF = `-0.0100521` Chr`12` : `43,929,996`	0.001	0.999	0.000
rs7979575 lBF = `-0.0500969` Chr`12` : `24,278,821`	0.000	0.999	0.001
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.001	0.999	0.000
rs4625554 lBF = `0.116226` Chr`12` : `4,416,304`	0.001	0.999	0.000
rs59448276 lBF = `-0.00012332` Chr`12` : `52,680,766`	0.000	0.999	0.000
rs10778699 lBF = `-0.055565` Chr`12` : `80,463,084`	0.001	0.999	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.000	0.999	0.001
rs3138141 lBF = `9.86503` Chr`12` : `56,115,778`	0.001	0.999	0.000
rs883079 lBF = `3.07368` Chr`12` : `114,793,240`	0.000	0.999	0.001
rs190909796 lBF = `0.00805551` Chr`12` : `80,474,682`	0.000	0.999	0.000
rs11062578 lBF = `0.00505306` Chr`12` : `3,327,167`	0.001	0.999	0.000
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.001	0.999	0.000
rs12319113 lBF = `0.0238283` Chr`12` : `19,024,558`	0.000	0.999	0.001
rs3138142 lBF = `10.3889` Chr`12` : `56,115,585`	0.001	0.999	0.000
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.001	0.999	0.000
rs17108344 lBF = `-0.00155388` Chr`12` : `70,954,464`	0.000	0.999	0.000
rs1816854 lBF = `-0.0651576` Chr`12` : `44,205,018`	0.000	0.999	0.001
rs12832485 lBF = `-0.0753605` Chr`12` : `24,786,136`	0.000	0.999	0.001
rs35785195 lBF = `-0.0834498` Chr`12` : `114,194,276`	0.001	0.999	0.000
rs12828102 lBF = `-0.087418` Chr`12` : `91,310,019`	0.001	0.999	0.000
rs11045000 lBF = `7.56762` Chr`12` : `20,184,146`	0.001	0.999	0.000
rs144148493 lBF = `0.015726` Chr`12` : `87,360,221`	0.000	0.999	0.000
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.000	0.999	0.000
rs7308134 lBF = `-0.0292191` Chr`12` : `1,987,245`	0.000	0.999	0.001
rs2111902 lBF = `-0.0372365` Chr`12` : `109,278,747`	0.000	0.999	0.001
rs7314326 lBF = `0.607786` Chr`12` : `24,107,597`	0.001	0.999	0.000
rs187039407 lBF = `0.0120709` Chr`12` : `87,341,774`	0.000	0.999	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	0.999	0.000
rs183244340 lBF = `0.0050197` Chr`12` : `87,005,576`	0.000	0.999	0.000
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.000	0.999	0.000
rs11069062 lBF = `-0.06` Chr`12` : `119,163,079`	0.001	0.999	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.000	0.999	0.000
rs17040430 lBF = `0.425945` Chr`12` : `108,742,820`	0.000	0.999	0.001
rs750134 lBF = `0.0830247` Chr`12` : `109,061,106`	0.000	0.999	0.001
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.000	0.999	0.000
rs1463605 lBF = `0.00786643` Chr`12` : `30,113,883`	0.000	0.999	0.001
rs4534636 lBF = `-0.0481322` Chr`12` : `8,666,801`	0.000	0.999	0.001
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.000	0.999	0.001
rs7297186 lBF = `6.68652` Chr`12` : `111,778,178`	0.000	0.999	0.001
rs10506710 lBF = `0.228495` Chr`12` : `73,450,317`	0.001	0.999	0.000
rs2172873 lBF = `0.108565` Chr`12` : `103,125,690`	0.001	0.999	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.000	0.999	0.000
rs11175944 lBF = `0.00425637` Chr`12` : `66,256,395`	0.000	0.999	0.001
rs79946301 lBF = `-0.00185935` Chr`12` : `130,117,149`	0.000	0.999	0.000
rs6539247 lBF = `-0.064487` Chr`12` : `106,459,902`	0.001	0.999	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.000	0.999	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

0.2460

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1203

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0884

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9994

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9915

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9838

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9835

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9706

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9634

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9616

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9547

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9505

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9432

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9366

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9314

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9298

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9248

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9129

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9037

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9021

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8888

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8753

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8690

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8669

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8654

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8558

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8296

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8023

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7841

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7755

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7740

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7726

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7720

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7686

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7674

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7610

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7606

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7548

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7524

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7523

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7406

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7314

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7300

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7220

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7183

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6980

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6853

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6723

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6689

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6538

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6400

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6391

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6199

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6173

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6152

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6126

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5921

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5748

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5659

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5616

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5612

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4988

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4953

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4918

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4893

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4893

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4871

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4854

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4854

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4654

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4615

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4486

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3970

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3753

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3746

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3633

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3627

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3579

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3361

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3351

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3178

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3107

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2983

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2932

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2701

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2654

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2583

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2436

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2408

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2345

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2149

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2118

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2060

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2048

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2045

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2007

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1986

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1925

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1885

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1867

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1832

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1808

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1779

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1775

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1761

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1688

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1677

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1644

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1643

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1591

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1561

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1551

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1491

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1459

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1438

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1431

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1089

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0959

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0924

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0875

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0857

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0692

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0689

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0687

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0639

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`)