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
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.707	0.292	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.700	0.300	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.698	0.302	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.698	0.302	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.695	0.305	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.645	0.355	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.590	0.410	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.590	0.410	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.569	0.431	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.549	0.451	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.533	0.467	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.527	0.473	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.525	0.475	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.523	0.477	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.506	0.494	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.496	0.504	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.475	0.525	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.471	0.529	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.465	0.535	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.465	0.535	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.455	0.544	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.449	0.551	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.444	0.555	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.442	0.557	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.419	0.581	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.416	0.584	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.415	0.585	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.415	0.585	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.408	0.592	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.398	0.602	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.362	0.638	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.352	0.648	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.350	0.649	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.333	0.667	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.332	0.668	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.323	0.677	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.304	0.696	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.303	0.697	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.302	0.698	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.270	0.730	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.250	0.749	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.249	0.750	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.242	0.758	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.241	0.759	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.234	0.766	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.228	0.771	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.224	0.776	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.220	0.779	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.220	0.780	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.209	0.791	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.207	0.793	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.203	0.797	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.202	0.798	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.194	0.806	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.193	0.807	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.191	0.809	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.181	0.819	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.173	0.826	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.156	0.843	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.155	0.845	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.154	0.845	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.150	0.850	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.144	0.855	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.141	0.859	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.130	0.870	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.123	0.877	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.120	0.879	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.116	0.884	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.112	0.887	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.113	0.887	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.112	0.888	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.112	0.888	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.111	0.889	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.096	0.891	0.012
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.102	0.898	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.101	0.898	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.098	0.902	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.098	0.902	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.098	0.902	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.095	0.904	0.001
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.091	0.909	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.084	0.916	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.083	0.917	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.082	0.918	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.072	0.918	0.010
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.081	0.919	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.080	0.920	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.074	0.926	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.072	0.927	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.067	0.933	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.066	0.934	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.063	0.937	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.061	0.939	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.059	0.941	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.059	0.941	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.057	0.943	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.055	0.945	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.055	0.945	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.050	0.950	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.050	0.950	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.048	0.951	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.047	0.952	0.002
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.047	0.953	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.047	0.953	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.046	0.954	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.045	0.954	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.043	0.957	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.041	0.959	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.037	0.963	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.033	0.967	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.029	0.971	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.028	0.972	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.027	0.973	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.026	0.973	0.000
rs1385374 lBF = `0.0163696` Chr`12` : `129,300,694`	0.026	0.974	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.025	0.975	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.023	0.977	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.023	0.977	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.022	0.978	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.020	0.980	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.020	0.980	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.982	0.018
rs2099149 lBF = `-0.0891712` Chr`12` : `30,479,358`	0.000	0.982	0.018
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.018	0.982	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.017	0.983	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.016	0.983	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.016	0.984	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.016	0.984	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.016	0.984	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.015	0.984	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.014	0.986	0.001
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.014	0.986	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.013	0.987	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.012	0.988	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.011	0.988	0.001
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.012	0.988	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.011	0.988	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.011	0.989	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.011	0.989	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.009	0.990	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.009	0.991	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.009	0.991	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.008	0.992	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.008	0.992	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.008	0.992	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.008	0.992	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.992	0.007
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.007	0.992	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.007	0.992	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.007	0.993	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.006	0.994	0.000
rs7308116 lBF = `0.124444` Chr`12` : `108,200,596`	0.000	0.994	0.006
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.006	0.994	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.005	0.995	0.000
rs118152513 lBF = `0.00652999` Chr`12` : `101,184,252`	0.000	0.995	0.005
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.004	0.995	0.000
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.004	0.996	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.004	0.996	0.000
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.004	0.996	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.996	0.004
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.996	0.003
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.003	0.996	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.003	0.996	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.003	0.996	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.003	0.996	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.003	0.997	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.003	0.997	0.000
rs11057841 lBF = `14.6163` Chr`12` : `125,316,743`	0.003	0.997	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.003	0.997	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.003	0.997	0.000
rs7969148 lBF = `0.0474181` Chr`12` : `124,614,538`	0.003	0.997	0.000
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.003	0.997	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.003	0.997	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.003	0.997	0.000
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.003	0.997	0.000
rs830124 lBF = `0.0463534` Chr`12` : `122,395,777`	0.003	0.997	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.003	0.997	0.000
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.003	0.997	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.003	0.997	0.000
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.002	0.997	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.002	0.997	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.002	0.998	0.000
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.998	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.002	0.998	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.001	0.998	0.001
rs17124610 lBF = `-0.00500773` Chr`12` : `61,549,081`	0.002	0.998	0.000
rs12369635 lBF = `0.0404365` Chr`12` : `129,561,356`	0.002	0.998	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.001	0.998	0.002
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.002	0.998	0.000
rs601339 lBF = `-0.0133245` Chr`12` : `123,174,743`	0.002	0.998	0.000
rs493519 lBF = `0.0360092` Chr`12` : `122,397,476`	0.002	0.998	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.002	0.998	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.002	0.998	0.000
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.002	0.998	0.000
rs1373453 lBF = `0.0225389` Chr`12` : `70,054,910`	0.002	0.998	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.002	0.998	0.000
rs1559997 lBF = `-0.016814` Chr`12` : `113,847,542`	0.000	0.998	0.002
rs10846744 lBF = `15.1289` Chr`12` : `125,312,425`	0.002	0.998	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.002	0.998	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.002	0.998	0.000
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.002	0.998	0.000
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
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rs11829119 lBF = `-0.0240856` Chr`12` : `19,193,531`	0.000	1.000	0.000
rs12302103 lBF = `-0.0594117` Chr`12` : `12,729,316`	0.000	1.000	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.000	1.000	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.000	1.000	0.000
rs11362332 lBF = `5.87161` Chr`12` : `27,993,726`	0.000	1.000	0.000
rs17040430 lBF = `0.425945` Chr`12` : `108,742,820`	0.000	1.000	0.000
rs11108495 lBF = `0.0259079` Chr`12` : `96,807,917`	0.000	1.000	0.000
rs1513049 lBF = `0.00460279` Chr`12` : `17,362,816`	0.000	1.000	0.000
rs7136572 lBF = `-0.00402774` Chr`12` : `95,959,788`	0.000	1.000	0.000
rs35747 lBF = `-0.0488619` Chr`12` : `102,912,558`	0.000	1.000	0.000
rs35767 lBF = `-0.0761637` Chr`12` : `102,875,569`	0.000	1.000	0.000
rs2244608 lBF = `24.424` Chr`12` : `121,416,988`	0.000	1.000	0.000
rs11057830 lBF = `17.2626` Chr`12` : `125,307,053`	0.000	1.000	0.000
rs10843013 lBF = `12.9097` Chr`12` : `28,025,196`	0.000	1.000	0.000
rs2881580 lBF = `10.3938` Chr`12` : `27,983,485`	0.000	1.000	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.000	1.000	0.000
rs7973572 lBF = `0.0461244` Chr`12` : `24,289,366`	0.000	1.000	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	1.000	0.000
rs12831974 lBF = `-0.00204667` Chr`12` : `72,724,034`	0.000	1.000	0.000
rs117483990 lBF = `-0.00680357` Chr`12` : `90,224,714`	0.000	1.000	0.000
rs11113894 lBF = `-0.0231673` Chr`12` : `108,841,863`	0.000	1.000	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	0.000	1.000	0.000
rs4759375 lBF = `-0.0438723` Chr`12` : `123,796,238`	0.000	1.000	0.000
rs11047395 lBF = `-0.0506139` Chr`12` : `24,513,701`	0.000	1.000	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	1.000	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	1.000	0.000
rs11170164 lBF = `18.5212` Chr`12` : `52,913,668`	0.000	1.000	0.000
rs1169314 lBF = `9.37742` Chr`12` : `121,443,116`	0.000	1.000	0.000
rs2264750 lBF = `9.22565` Chr`12` : `121,450,165`	0.000	1.000	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.000	1.000	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs11062987 lBF = `0.437239` Chr`12` : `4,173,126`	0.000	1.000	0.000
rs1678542 lBF = `0.0108876` Chr`12` : `57,968,715`	0.000	1.000	0.000
rs143888465 lBF = `0.00254406` Chr`12` : `52,010,108`	0.000	1.000	0.000
rs7297018 lBF = `-0.00464805` Chr`12` : `80,062,230`	0.000	1.000	0.000
rs2417940 lBF = `-0.00967591` Chr`12` : `21,017,875`	0.000	1.000	0.000
rs16926789 lBF = `-0.0139818` Chr`12` : `24,006,406`	0.000	1.000	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	1.000	0.000
rs11175194 lBF = `-0.0229417` Chr`12` : `64,264,837`	0.000	1.000	0.000
rs11829373 lBF = `-0.0236711` Chr`12` : `92,987,208`	0.000	1.000	0.000
rs1584120 lBF = `-0.0360976` Chr`12` : `23,599,253`	0.000	1.000	0.000
rs11059374 lBF = `-0.0415106` Chr`12` : `128,304,418`	0.000	1.000	0.000
rs12580035 lBF = `-0.045879` Chr`12` : `1,911,860`	0.000	1.000	0.000
rs936332 lBF = `-0.0514097` Chr`12` : `52,640,277`	0.000	1.000	0.000
rs12367822 lBF = `-0.0581335` Chr`12` : `57,204,160`	0.000	1.000	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.000	1.000	0.000
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.000	1.000	0.000
rs2110073 lBF = `2.42215` Chr`12` : `7,075,882`	0.000	1.000	0.000
rs2289936 lBF = `0.0676215` Chr`12` : `65,471,467`	0.000	1.000	0.000
rs55783344 lBF = `0.0642843` Chr`12` : `121,432,299`	0.000	1.000	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.000	1.000	0.000
rs189010983 lBF = `0.0387565` Chr`12` : `84,086,176`	0.000	1.000	0.000
rs2303970 lBF = `0.00039377` Chr`12` : `74,471,340`	0.000	1.000	0.000
rs7313075 lBF = `-0.0257493` Chr`12` : `102,630,679`	0.000	1.000	0.000
rs3764044 lBF = `-0.0323613` Chr`12` : `21,428,371`	0.000	1.000	0.000
rs258396 lBF = `7.51317` Chr`12` : `28,005,654`	0.000	1.000	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.000	1.000	0.000
rs7309767 lBF = `6.032` Chr`12` : `9,920,899`	0.000	1.000	0.000
rs4357753 lBF = `5.99351` Chr`12` : `112,740,709`	0.000	1.000	0.000
rs11110077 lBF = `0.318826` Chr`12` : `100,266,113`	0.000	1.000	0.000
rs3751143 lBF = `0.142268` Chr`12` : `121,622,304`	0.000	1.000	0.000
rs10849689 lBF = `0.0794566` Chr`12` : `110,493,222`	0.000	1.000	0.000
rs11058488 lBF = `0.0657132` Chr`12` : `126,551,205`	0.000	1.000	0.000
rs6486986 lBF = `0.0328778` Chr`12` : `19,801,595`	0.000	1.000	0.000
rs2417957 lBF = `0.0180002` Chr`12` : `21,323,611`	0.000	1.000	0.000
rs150695384 lBF = `0.0114384` Chr`12` : `64,917,042`	0.000	1.000	0.000
rs11169838 lBF = `-0.00194819` Chr`12` : `39,253,108`	0.000	1.000	0.000
rs10848820 lBF = `-0.00858932` Chr`12` : `3,296,948`	0.000	1.000	0.000
rs12316703 lBF = `-0.0111268` Chr`12` : `118,840,457`	0.000	1.000	0.000
rs12812736 lBF = `-0.0119698` Chr`12` : `128,075,012`	0.000	1.000	0.000
rs12146838 lBF = `-0.0131906` Chr`12` : `92,375,595`	0.000	1.000	0.000
rs11830157 lBF = `-0.02838` Chr`12` : `118,265,441`	0.000	1.000	0.000
rs1457614 lBF = `-0.0614078` Chr`12` : `13,641,706`	0.000	1.000	0.000
rs10777709 lBF = `-0.0682852` Chr`12` : `95,975,986`	0.000	1.000	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	1.000	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	1.000	0.000
rs11175997 lBF = `12.485` Chr`12` : `66,401,444`	0.000	1.000	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.000	1.000	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.000	1.000	0.000
rs7302981 lBF = `6.21009` Chr`12` : `50,537,815`	0.000	1.000	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.000	1.000	0.000
rs150828104 lBF = `0.860743` Chr`12` : `116,775,695`	0.000	1.000	0.000
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.000	1.000	0.000
rs1823172 lBF = `0.580351` Chr`12` : `127,792,614`	0.000	1.000	0.000
rs11610782 lBF = `0.575475` Chr`12` : `126,196,289`	0.000	1.000	0.000
rs789560 lBF = `0.442685` Chr`12` : `70,331,827`	0.000	1.000	0.000
rs17769758 lBF = `0.326679` Chr`12` : `3,672,719`	0.000	1.000	0.000
rs11112046 lBF = `0.314989` Chr`12` : `104,818,192`	0.000	1.000	0.000
rs11107616 lBF = `0.243167` Chr`12` : `78,364,780`	0.000	1.000	0.000
rs12826178 lBF = `0.0886157` Chr`12` : `57,622,371`	0.000	1.000	0.000
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.000	1.000	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.000	1.000	0.000
rs12296850 lBF = `0.0454461` Chr`12` : `100,820,085`	0.000	1.000	0.000
rs17121944 lBF = `-0.0102276` Chr`12` : `59,440,232`	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`)