TreeWAS – [Z36.2] Other antenatal screening based on amniocentesis

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
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.699	0.301	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.670	0.330	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.625	0.375	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.599	0.401	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.591	0.409	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.587	0.413	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.565	0.435	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.544	0.456	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.542	0.458	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.534	0.466	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.528	0.471	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.523	0.477	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.510	0.490	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.510	0.490	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.508	0.492	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.506	0.494	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.500	0.499	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.495	0.505	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.480	0.520	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.477	0.522	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.473	0.527	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.440	0.560	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.439	0.561	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.427	0.572	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.426	0.574	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.426	0.574	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.422	0.577	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.421	0.579	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.412	0.588	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.407	0.592	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.404	0.596	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.402	0.598	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.400	0.600	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.388	0.611	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.385	0.615	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.619	0.380
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.373	0.627	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.363	0.637	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.360	0.640	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.360	0.640	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.351	0.648	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.350	0.650	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.349	0.651	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.347	0.653	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.346	0.654	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.341	0.659	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.340	0.660	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.340	0.660	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.336	0.664	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.333	0.667	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.323	0.676	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.320	0.680	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.316	0.683	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.314	0.686	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.313	0.687	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.309	0.690	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.309	0.691	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.307	0.693	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.307	0.693	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.307	0.693	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.294	0.705	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.283	0.717	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.280	0.720	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.275	0.725	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.273	0.727	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.265	0.735	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.263	0.737	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.263	0.737	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.260	0.740	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.259	0.740	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.258	0.742	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.257	0.743	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.256	0.743	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.251	0.749	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.251	0.749	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.243	0.757	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.242	0.757	0.001
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.240	0.760	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.230	0.770	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.226	0.773	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.226	0.774	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.224	0.776	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.222	0.778	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.220	0.780	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.218	0.781	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.218	0.781	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.216	0.784	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.208	0.792	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.207	0.793	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.206	0.794	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.206	0.794	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.199	0.801	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.197	0.802	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.195	0.804	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.194	0.806	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.185	0.815	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.180	0.819	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.173	0.827	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.167	0.833	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.165	0.835	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.162	0.838	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.161	0.839	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.161	0.839	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.159	0.841	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.159	0.841	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.153	0.846	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.153	0.847	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.149	0.850	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.149	0.851	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.143	0.857	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.142	0.858	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.139	0.861	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.136	0.864	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.128	0.871	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.126	0.873	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.125	0.875	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.123	0.876	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.123	0.877	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.117	0.883	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.115	0.885	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.114	0.886	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.107	0.892	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.106	0.894	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.103	0.896	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.099	0.901	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.097	0.903	0.000
rs56292044 lBF = `0.784944` Chr`8` : `138,776,547`	0.092	0.908	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.090	0.910	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.090	0.910	0.000
rs11986414 lBF = `-0.00590791` Chr`8` : `1,746,950`	0.000	0.911	0.089
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.084	0.915	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.083	0.917	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.082	0.918	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.080	0.920	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.079	0.920	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.079	0.921	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.071	0.928	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.068	0.932	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.065	0.934	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.937	0.063
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.940	0.060
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.059	0.941	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.058	0.941	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.058	0.942	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.056	0.944	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.054	0.946	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.052	0.948	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.052	0.948	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.051	0.949	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.049	0.951	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.048	0.952	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.046	0.953	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.046	0.953	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.046	0.954	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.036	0.964	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.035	0.964	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.035	0.965	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.033	0.967	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.033	0.967	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.031	0.969	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.029	0.971	0.001
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.028	0.972	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.024	0.975	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.020	0.980	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.020	0.980	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.020	0.980	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.019	0.980	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.018	0.981	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.018	0.982	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.017	0.982	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.017	0.983	0.000
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.000	0.983	0.017
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.016	0.983	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.016	0.984	0.000
rs4596632 lBF = `0.305403` Chr`8` : `132,353,735`	0.016	0.984	0.000
rs2235121 lBF = `-0.0708654` Chr`8` : `2,040,104`	0.000	0.984	0.016
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	0.986	0.014
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.014	0.986	0.000
rs1561927 lBF = `-0.0657726` Chr`8` : `129,568,078`	0.000	0.986	0.014
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.014	0.986	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.014	0.986	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.013	0.987	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.013	0.987	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.013	0.987	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.013	0.987	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.012	0.987	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.012	0.988	0.000
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.011	0.989	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.011	0.989	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.011	0.989	0.000
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.010	0.989	0.000
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.009	0.991	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.009	0.991	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.008	0.992	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.008	0.992	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.992	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.007	0.993	0.000
rs13254738 lBF = `-0.0366046` Chr`8` : `128,104,343`	0.000	0.993	0.007
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.007	0.993	0.000
rs2293889 lBF = `0.741129` Chr`8` : `116,599,199`	0.007	0.993	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.006	0.993	0.000
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rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.001	0.999	0.000
rs6472903 lBF = `-0.0821263` Chr`8` : `76,230,301`	0.001	0.999	0.000
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.001	0.999	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.001	0.999	0.000
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.000	0.999	0.001
rs9969524 lBF = `-0.0972992` Chr`8` : `88,746,846`	0.000	0.999	0.001
rs1015003 lBF = `-0.102741` Chr`8` : `37,096,059`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.001	0.999	0.000
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.001	0.999	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.001	0.999	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.001	0.999	0.000
rs16902460 lBF = `-0.00013523` Chr`8` : `128,920,197`	0.000	0.999	0.000
rs2160860 lBF = `-0.0874814` Chr`8` : `39,823,145`	0.001	0.999	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	0.999	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.001	0.999	0.000
rs1600249 lBF = `-0.0589275` Chr`8` : `11,359,638`	0.000	0.999	0.001
rs1996720 lBF = `0.205595` Chr`8` : `113,074,096`	0.001	0.999	0.000
rs2738048 lBF = `0.13195` Chr`8` : `6,822,785`	0.001	0.999	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	0.999	0.001
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.001	0.999	0.000
rs7004633 lBF = `0.137936` Chr`8` : `89,760,311`	0.000	0.999	0.001
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.000	0.999	0.000
rs7006290 lBF = `-0.0791238` Chr`8` : `41,615,138`	0.000	0.999	0.001
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.001	0.999	0.000
rs10435719 lBF = `2.63268` Chr`8` : `11,776,904`	0.000	0.999	0.001
rs7004484 lBF = `0.0286376` Chr`8` : `132,934,538`	0.000	0.999	0.001
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.001	0.999	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	0.999	0.001
rs10957550 lBF = `-0.00048974` Chr`8` : `72,294,588`	0.001	0.999	0.000
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.001	0.999	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	0.999	0.001
rs12676965 lBF = `-0.0503531` Chr`8` : `37,681,426`	0.001	0.999	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	0.999	0.001
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	0.999	0.001
rs17068510 lBF = `-0.00515294` Chr`8` : `3,863,111`	0.000	0.999	0.001
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	0.999	0.001
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.001	0.999	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.001	0.999	0.000
rs500816 lBF = `0.296843` Chr`8` : `20,803,103`	0.001	0.999	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	0.999	0.001
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	0.999	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	0.999	0.001
rs17739794 lBF = `-0.0209347` Chr`8` : `812,946`	0.000	0.999	0.001
rs2851394 lBF = `-0.0364814` Chr`8` : `107,579,392`	0.001	0.999	0.000
rs2466067 lBF = `-0.0475776` Chr`8` : `32,437,994`	0.000	0.999	0.001
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.001	0.999	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	0.999	0.001
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.001	0.999	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.001	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.001	0.999	0.000
rs6988306 lBF = `-0.0272986` Chr`8` : `102,596,210`	0.000	0.999	0.001
rs1963982 lBF = `-0.0393427` Chr`8` : `73,106,916`	0.001	0.999	0.000
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.000	0.999	0.001
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	0.999	0.001
rs2392780 lBF = `2.24613` Chr`8` : `128,388,025`	0.001	0.999	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	0.999	0.001
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	0.999	0.001
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	0.999	0.001
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.001	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.001	0.999	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.001	0.999	0.000
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.001	0.999	0.000
rs9650199 lBF = `-0.0671861` Chr`8` : `61,346,197`	0.001	0.999	0.000
rs7006687 lBF = `-0.0965045` Chr`8` : `18,233,582`	0.000	0.999	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	0.999	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	0.999	0.001
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.001	0.999	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.001	0.999	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	0.999	0.001
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	0.999	0.001
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	0.999	0.000
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.001	0.999	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	0.999	0.001
rs3108919 lBF = `-0.0535203` Chr`8` : `101,841,546`	0.000	0.999	0.001
rs7004520 lBF = `-0.05444` Chr`8` : `31,327,049`	0.000	0.999	0.001
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.000	0.999	0.001
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.001	0.999	0.000
rs1962772 lBF = `0.0489516` Chr`8` : `17,370,776`	0.001	0.999	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	0.999	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	0.999	0.001
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	0.999	0.001
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	0.999	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	0.999	0.001
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.001	0.999	0.000
rs6557786 lBF = `-0.0632373` Chr`8` : `24,799,742`	0.000	0.999	0.001
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.001	0.999	0.000
rs10957125 lBF = `-0.0793354` Chr`8` : `61,194,170`	0.000	0.999	0.000
rs7819412 lBF = `2.31897` Chr`8` : `11,045,161`	0.000	0.999	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	0.999	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	0.999	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.001	0.999	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	0.999	0.001
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	0.999	0.001
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.000	0.999	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	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

0.2094

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0965

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0685

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9495

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9301

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9226

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9156

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9149

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8819

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8804

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8715

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8602

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8522

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8459

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8441

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8244

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8194

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8170

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8142

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8015

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8007

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7796

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7757

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7596

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7592

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7496

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7483

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7167

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7163

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7161

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7136

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7118

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7103

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7096

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7089

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7075

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7035

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7023

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7014

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7012

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 X0139

log Bayes Factor = 304.555

contains 10 variants

0.6990

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6973

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6968

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6924

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6903

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6899

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6850

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6831

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6704

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6692

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 X0150

log Bayes Factor = 861.091

contains 26 variants

0.6527

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6500

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6461

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6374

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 X0300

log Bayes Factor = 109.684

contains 3 variants

0.6296

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6250

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5977

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 X0049

log Bayes Factor = 597.061

contains 18 variants

0.5647

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5611

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5349

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5337

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5272

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5270

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5185

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5015

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5007

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4931

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4866

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4844

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4837

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4661

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4650

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4509

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4305

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4166

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4094

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3998

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3973

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3957

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3793

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3537

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3312

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3236

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3228

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3227

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3205

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3157

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3141

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3122

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3102

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3060

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2989

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2878

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2871

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2828

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2755

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2532

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2414

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2393

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2362

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2261

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2250

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2209

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2094

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2002

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1838

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1809

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1796

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1775

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1774

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1687

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1625

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1611

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1497

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1383

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1335

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1321

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1220

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1114

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1008

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0840

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0791

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0787

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0778

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0774

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0740

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0694

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0683

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0655

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0530

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0501

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`)