TreeWAS – [Z36.4] Antenatal screening for foetal growth retardation 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
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.864	0.136	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.675	0.325	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.622	0.378	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.618	0.381	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.617	0.383	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.611	0.389	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.566	0.434	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.555	0.444	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.542	0.458	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.524	0.476	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.520	0.480	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.502	0.498	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.493	0.507	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.489	0.511	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.483	0.517	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.479	0.521	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.475	0.525	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.469	0.531	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.466	0.534	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.447	0.553	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.421	0.578	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.397	0.603	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.397	0.603	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.390	0.609	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.382	0.618	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.380	0.620	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.369	0.631	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.365	0.635	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.363	0.637	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.350	0.649	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.350	0.650	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.347	0.652	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.346	0.654	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.329	0.671	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.324	0.676	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.315	0.685	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.310	0.690	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.308	0.692	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.303	0.696	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.284	0.716	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.281	0.719	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.277	0.723	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.267	0.732	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.266	0.733	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.253	0.746	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.242	0.758	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.232	0.768	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.230	0.770	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.207	0.793	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.203	0.797	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.188	0.812	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.170	0.830	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.169	0.831	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.160	0.840	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.132	0.868	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.130	0.870	0.001
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.128	0.872	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.125	0.874	0.001
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.001	0.877	0.122
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.121	0.879	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.111	0.888	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.102	0.898	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.902	0.098
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.002	0.903	0.095
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.092	0.908	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.062	0.938	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.056	0.943	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.055	0.944	0.001
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.052	0.947	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.051	0.949	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.049	0.951	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.047	0.953	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.042	0.958	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.040	0.959	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.016	0.963	0.020
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.031	0.969	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.031	0.969	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.030	0.969	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.027	0.973	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	0.973	0.027
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.027	0.973	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.026	0.974	0.000
rs913678 lBF = `-0.0425097` Chr`20` : `48,955,424`	0.026	0.974	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.025	0.975	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.000	0.978	0.022
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.021	0.979	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.020	0.979	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.019	0.981	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.018	0.981	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.019	0.981	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.017	0.982	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.016	0.983	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.016	0.984	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.015	0.984	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.014	0.985	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.014	0.986	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.014	0.986	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.010	0.990	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.010	0.990	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.009	0.991	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.009	0.991	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.009	0.991	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.008	0.991	0.000
rs17721822 lBF = `0.0115807` Chr`20` : `6,469,596`	0.008	0.992	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.008	0.992	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.006	0.993	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.006	0.993	0.000
rs2077147 lBF = `0.0125322` Chr`20` : `17,825,143`	0.006	0.993	0.000
rs7266699 lBF = `-0.0796117` Chr`20` : `58,253,438`	0.000	0.994	0.006
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.006	0.994	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.006	0.994	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.005	0.994	0.001
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.006	0.994	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	0.995	0.005
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.005	0.995	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.003	0.995	0.002
rs6073450 lBF = `0.0682833` Chr`20` : `43,086,648`	0.005	0.995	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.004	0.995	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.004	0.995	0.000
rs6054383 lBF = `0.0620845` Chr`20` : `6,584,604`	0.004	0.996	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.004	0.996	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.004	0.996	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs6039763 lBF = `0.202961` Chr`20` : `10,183,517`	0.000	0.996	0.004
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.004	0.996	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.004	0.996	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.004	0.996	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.004	0.996	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.003	0.996	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.003	0.996	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.003	0.996	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.003	0.997	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.003	0.997	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.003	0.997	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.003	0.997	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.003	0.997	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.002	0.997	0.001
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.002	0.997	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.002	0.997	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.002	0.997	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.002	0.997	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.002	0.997	0.000
rs4811340 lBF = `0.16495` Chr`20` : `51,009,757`	0.002	0.997	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	0.000	0.998	0.002
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs2424635 lBF = `0.0666228` Chr`20` : `24,717,085`	0.000	0.998	0.002
rs6028945 lBF = `-0.0776588` Chr`20` : `38,820,805`	0.002	0.998	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.002	0.998	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.002	0.998	0.000
rs4141463 lBF = `-0.101518` Chr`20` : `14,747,471`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.002	0.998	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.002	0.998	0.000
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.002	0.998	0.000
rs967417 lBF = `-0.101207` Chr`20` : `6,620,893`	0.002	0.998	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	0.998	0.002
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.000	0.998	0.002
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.002	0.998	0.000
rs4813802 lBF = `8.65379` Chr`20` : `6,699,595`	0.000	0.998	0.002
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	0.998	0.002
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.001	0.998	0.000
rs6044112 lBF = `-0.0790804` Chr`20` : `16,536,414`	0.000	0.998	0.002
rs84824 lBF = `16.3155` Chr`20` : `2,301,285`	0.002	0.998	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	0.998	0.001
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.002	0.998	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	0.998	0.001
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	0.999	0.001
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.001	0.999	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.000	0.999	0.001
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	0.999	0.001
rs6107853 lBF = `-0.104277` Chr`20` : `6,609,877`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.001	0.999	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.001	0.999	0.000
rs4811117 lBF = `0.00042833` Chr`20` : `49,671,435`	0.000	0.999	0.001
rs6122972 lBF = `0.113804` Chr`20` : `49,375,242`	0.000	0.999	0.001
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.001	0.999	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.001	0.999	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	0.999	0.001
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.001	0.999	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.001	0.999	0.000
rs979012 lBF = `0.528327` Chr`20` : `6,623,374`	0.001	0.999	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	0.999	0.001
rs6065080 lBF = `-0.0970129` Chr`20` : `59,832,791`	0.001	0.999	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	0.999	0.001
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	0.001	0.999	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.001	0.999	0.000
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.001	0.999	0.000
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rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.000	1.000	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	1.000	0.000
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs6078000 lBF = `10.313` Chr`20` : `10,977,631`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs13043694 lBF = `-0.039772` Chr`20` : `47,088,154`	0.000	1.000	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	1.000	0.000
rs2902940 lBF = `-0.0968245` Chr`20` : `39,091,487`	0.000	1.000	0.000
rs59586681 lBF = `16.8913` Chr`20` : `2,220,310`	0.000	1.000	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs2738774 lBF = `1.08855` Chr`20` : `62,269,338`	0.000	1.000	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.000	1.000	0.000
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	1.000	0.000
rs6060821 lBF = `0.0845104` Chr`20` : `30,294,034`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs6069325 lBF = `-0.0153551` Chr`20` : `54,139,486`	0.000	1.000	0.000
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	0.000	1.000	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs852069 lBF = `-0.0667541` Chr`20` : `17,122,593`	0.000	1.000	0.000
rs2206405 lBF = `-0.127554` Chr`20` : `7,638,949`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	1.000	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.000	1.000	0.000
rs6062302 lBF = `1.19347` Chr`20` : `62,320,968`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6087990 lBF = `0.275541` Chr`20` : `31,349,908`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.000	1.000	0.000
rs2229205 lBF = `0.049829` Chr`20` : `62,729,431`	0.000	1.000	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	1.000	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	1.000	0.000
rs2236507 lBF = `1.22066` Chr`20` : `62,323,006`	0.000	1.000	0.000
rs13036344 lBF = `1.14379` Chr`20` : `31,313,737`	0.000	1.000	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	1.000	0.000
rs17450430 lBF = `0.0325685` Chr`20` : `47,772,264`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs11087123 lBF = `0.0066013` Chr`20` : `15,120,744`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs7273787 lBF = `-0.0341285` Chr`20` : `4,098,567`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs6095357 lBF = `-0.0597717` Chr`20` : `47,523,865`	0.000	1.000	0.000
rs2328223 lBF = `-0.0662184` Chr`20` : `17,845,921`	0.000	1.000	0.000
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.000	1.000	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	1.000	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	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

0.2094

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1198

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0889

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9872

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9822

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9722

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9639

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9464

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9310

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9203

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9180

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9017

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9012

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8903

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8818

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8817

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8766

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8736

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8551

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8535

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8493

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8488

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8479

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8316

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8265

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8163

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8142

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8048

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8028

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8009

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7997

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7880

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7850

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7811

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7810

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7785

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7758

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7700

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7489

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7220

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7200

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7161

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7076

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7029

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7020

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7005

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7003

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6968

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6933

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6924

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6899

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6897

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6870

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6654

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6646

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6605

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6567

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6542

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6344

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6339

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6037

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5983

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5962

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5886

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5766

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5540

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5449

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5426

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5382

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5349

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5299

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5262

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5260

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5195

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5189

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5154

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4837

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4701

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4587

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4482

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4452

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4234

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4199

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4150

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4094

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3869

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3793

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3725

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3695

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3637

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3606

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3534

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3422

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3227

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3183

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3181

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3124

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3060

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3060

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2925

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2887

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2787

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2755

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2662

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2532

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2525

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2473

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2066

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2044

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2036

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1935

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1879

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1875

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1859

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1825

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1774

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1772

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1759

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1687

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1548

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1497

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1488

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1339

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1276

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1182

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1081

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1042

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1030

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1026

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0888

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0726

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0684

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0638

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0565

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0564

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0560

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0530

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`)