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
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.736	0.264	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.705	0.295	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.667	0.332	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.609	0.390	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.599	0.401	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.595	0.405	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.595	0.405	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.581	0.419	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.566	0.434	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.560	0.440	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.548	0.452	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.538	0.462	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.526	0.474	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.503	0.497	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.500	0.500	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.498	0.502	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.455	0.544	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.450	0.550	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.437	0.563	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.432	0.568	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.415	0.585	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.414	0.585	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.413	0.587	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.403	0.597	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.401	0.599	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.394	0.606	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.379	0.621	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.346	0.654	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.343	0.657	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.332	0.667	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.324	0.676	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.303	0.697	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.296	0.704	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.288	0.711	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.286	0.714	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.281	0.719	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.281	0.719	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.272	0.728	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.269	0.731	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.266	0.734	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.260	0.740	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.252	0.747	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.246	0.754	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.245	0.755	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.244	0.756	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.219	0.781	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.201	0.799	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.197	0.803	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.195	0.805	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.188	0.812	0.001
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.178	0.821	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.171	0.828	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.170	0.830	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.159	0.841	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.158	0.841	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.142	0.857	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.142	0.858	0.001
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.138	0.862	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.136	0.863	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.134	0.865	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.120	0.879	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.118	0.882	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.113	0.886	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.109	0.890	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.104	0.896	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.100	0.899	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.095	0.905	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.092	0.908	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.090	0.910	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.087	0.913	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.077	0.922	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.074	0.926	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.069	0.930	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.067	0.933	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.060	0.940	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.056	0.944	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.053	0.946	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.052	0.947	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.051	0.949	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.050	0.950	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.050	0.950	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.047	0.952	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.047	0.953	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.954	0.046
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.045	0.955	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.040	0.960	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.962	0.038
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.038	0.962	0.001
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.038	0.962	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.036	0.963	0.001
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.035	0.965	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.035	0.965	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.031	0.968	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.031	0.968	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.031	0.969	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.030	0.969	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.029	0.970	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.028	0.972	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.027	0.972	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	0.973	0.027
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.025	0.974	0.001
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.023	0.977	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.022	0.977	0.001
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.022	0.978	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.021	0.979	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.020	0.980	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.981	0.019
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	0.981	0.019
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.019	0.981	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.018	0.982	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.017	0.983	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.016	0.984	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.016	0.984	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.016	0.984	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.016	0.984	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.014	0.985	0.001
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.014	0.985	0.001
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.013	0.987	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.012	0.988	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.009	0.988	0.003
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.011	0.989	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.011	0.989	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.011	0.989	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.011	0.989	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.011	0.989	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.989	0.011
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.010	0.990	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.010	0.990	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.010	0.990	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.010	0.990	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.009	0.991	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.009	0.991	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.009	0.991	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.009	0.991	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	0.991	0.009
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.009	0.991	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.992	0.008
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.008	0.992	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.008	0.992	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.008	0.992	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.007	0.992	0.001
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.008	0.992	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.008	0.992	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.007	0.992	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.007	0.993	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.007	0.993	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.007	0.993	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.007	0.993	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.007	0.993	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.007	0.993	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.007	0.993	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.007	0.993	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.007	0.993	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.007	0.993	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.007	0.993	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.006	0.994	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.006	0.994	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.006	0.994	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.006	0.994	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.994	0.006
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.005	0.995	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.005	0.995	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.005	0.995	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.005	0.995	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.005	0.995	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.005	0.995	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.005	0.995	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.005	0.995	0.000
rs4886583 lBF = `13.0581` Chr`15` : `79,021,445`	0.005	0.995	0.000
rs4886584 lBF = `13.0581` Chr`15` : `79,021,464`	0.005	0.995	0.000
rs4886582 lBF = `13.0576` Chr`15` : `79,021,441`	0.005	0.995	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.005	0.995	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.005	0.995	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.004	0.995	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.004	0.995	0.000
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.004	0.995	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.004	0.996	0.000
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.004	0.996	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.004	0.996	0.001
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.004	0.996	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.004	0.996	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.004	0.996	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.004	0.996	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.004	0.996	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	0.996	0.004
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.004	0.996	0.000
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.004	0.996	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.004	0.996	0.000
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.004	0.996	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.004	0.996	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.004	0.996	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.004	0.996	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
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rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.001	0.999	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	0.999	0.001
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.001	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.001
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.001	0.999	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	0.999	0.001
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.999	0.001
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	0.999	0.001
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	0.999	0.001
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	0.999	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	0.999	0.001
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	0.999	0.001
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	0.999	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.001	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.001
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.001	0.999	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.001	0.999	0.000
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	0.999	0.001
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.001	0.999	0.000
rs3893384 lBF = `-0.0741418` Chr`15` : `79,973,055`	0.001	0.999	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.001	0.999	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	0.999	0.001
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.999	0.001
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.999	0.001
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.999	0.001
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	0.999	0.001
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.001	0.999	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.001	0.999	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.999	0.001
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.999	0.001
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	0.999	0.001
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	0.999	0.001
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	0.999	0.001
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.001	0.999	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.001	0.999	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.001	0.999	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.001	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.001	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	0.999	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	0.999	0.001
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.001	0.999	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	0.999	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.001	0.999	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.999	0.001
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.001	0.999	0.000
rs1442779 lBF = `-0.0836916` Chr`15` : `71,576,755`	0.000	0.999	0.001
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.001	0.999	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.001
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.001	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.001	0.999	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	0.999	0.001
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.001	0.999	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.001	0.999	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	0.999	0.001
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.001
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	0.999	0.001
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.001	0.999	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.001	0.999	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.001	0.999	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.999	0.001
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.001	0.999	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.001	0.999	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	0.999	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	0.999	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.001	0.999	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.999	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.001	0.999	0.000
rs12908161 lBF = `0.0348923` Chr`15` : `85,207,825`	0.001	0.999	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.999	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.001	0.999	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.001	0.999	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.001	0.999	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.999	0.001
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	0.999	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.999	0.001
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	0.999	0.001
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.000	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.999	0.001
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.001	0.999	0.000
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	0.999	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	0.999	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.001	0.999	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	0.999	0.001

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`)