TreeWAS – [Z13.4] Special screening examination for certain developmental disorders in childhood

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
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.702	0.298	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.678	0.321	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.676	0.324	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.655	0.345	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.636	0.364	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.636	0.364	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.632	0.368	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.610	0.390	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.567	0.433	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.561	0.439	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.559	0.440	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.526	0.474	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.512	0.488	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.509	0.491	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.504	0.496	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.501	0.499	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.487	0.512	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.473	0.527	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.415	0.585	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.414	0.586	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.409	0.590	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.402	0.598	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.381	0.619	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.381	0.619	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.629	0.371
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.368	0.632	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.362	0.638	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.351	0.649	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.328	0.671	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.328	0.672	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.327	0.672	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.326	0.674	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.323	0.677	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.320	0.679	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.310	0.690	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.295	0.705	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.295	0.705	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.293	0.706	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.293	0.706	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.278	0.722	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.271	0.729	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.270	0.729	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.268	0.732	0.001
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.246	0.753	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.243	0.757	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.237	0.762	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.237	0.763	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.235	0.765	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.234	0.766	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.229	0.771	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.225	0.774	0.001
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.225	0.775	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.222	0.778	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.220	0.779	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.209	0.791	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.207	0.793	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.202	0.797	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.192	0.808	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.187	0.813	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.179	0.821	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.177	0.822	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.159	0.841	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.156	0.843	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.149	0.850	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.147	0.852	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.146	0.854	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.143	0.856	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.138	0.862	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.134	0.865	0.001
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.134	0.866	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.133	0.867	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.132	0.867	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.129	0.871	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.128	0.872	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.124	0.876	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.122	0.878	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.119	0.881	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.116	0.884	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.115	0.885	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.110	0.890	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.108	0.891	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.103	0.896	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.101	0.899	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.091	0.909	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.086	0.914	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.080	0.919	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.080	0.920	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.076	0.924	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.075	0.925	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.074	0.925	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.074	0.926	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.070	0.930	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.069	0.931	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.067	0.932	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.067	0.933	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.066	0.934	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.937	0.063
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.061	0.939	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.059	0.941	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.058	0.942	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.057	0.943	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.054	0.945	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.053	0.947	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.053	0.947	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.051	0.949	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.050	0.950	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.036	0.964	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.036	0.964	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.036	0.964	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.035	0.964	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.035	0.965	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.034	0.966	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.033	0.967	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.033	0.967	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.032	0.967	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.031	0.969	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.029	0.971	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.028	0.972	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.027	0.973	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.027	0.973	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.027	0.973	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.024	0.976	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.023	0.977	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.023	0.977	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.022	0.978	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.021	0.979	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.020	0.980	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.020	0.980	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.017	0.982	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.017	0.983	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.016	0.984	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.015	0.985	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.015	0.985	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.015	0.985	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.013	0.986	0.001
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.011	0.988	0.002
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.012	0.988	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.011	0.989	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.010	0.990	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.010	0.990	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.009	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	0.992	0.008
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.008	0.992	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.992	0.008
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.007	0.992	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.007	0.993	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.006	0.993	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.006	0.994	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.006	0.994	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.006	0.994	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.006	0.994	0.000
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.006	0.994	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.005	0.995	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.005	0.995	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.005	0.995	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.004	0.995	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.004	0.995	0.001
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.996	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.004	0.996	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.004	0.996	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.004	0.996	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.004	0.996	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.004	0.996	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.004	0.996	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.997	0.003
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.003	0.997	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.003	0.997	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.003	0.997	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.003	0.997	0.000
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.003	0.997	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.003	0.997	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	0.997	0.002
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.002	0.998	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.002	0.998	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	0.998	0.002
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.002	0.998	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.002	0.998	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.002	0.998	0.000
rs4075154 lBF = `-0.0319299` Chr`8` : `57,209,246`	0.000	0.998	0.002
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.002	0.998	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.998	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.002	0.998	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	0.998	0.002
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.002	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.002	0.998	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.998	0.002
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.002	0.998	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.002	0.998	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.002	0.998	0.000
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rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs62531686 lBF = `-0.0768538` Chr`8` : `138,909,719`	0.000	1.000	0.000
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	1.000	0.000
rs295 lBF = `5.95375` Chr`8` : `19,816,238`	0.000	1.000	0.000
rs301 lBF = `5.37678` Chr`8` : `19,816,934`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
rs6983473 lBF = `0.367125` Chr`8` : `27,905,888`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	1.000	0.000
rs11989868 lBF = `-0.0864361` Chr`8` : `14,550,156`	0.000	1.000	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	1.000	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	1.000	0.000
rs10105606 lBF = `2.71178` Chr`8` : `19,827,848`	0.000	1.000	0.000
rs643472 lBF = `0.195951` Chr`8` : `29,153,777`	0.000	1.000	0.000
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	1.000	0.000
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.000	1.000	0.000
rs218869 lBF = `-0.0912182` Chr`8` : `23,636,281`	0.000	1.000	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.000	1.000	0.000
rs10503779 lBF = `14.6968` Chr`8` : `25,743,428`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	1.000	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	1.000	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	1.000	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs1991866 lBF = `-0.0639021` Chr`8` : `130,624,105`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs13273073 lBF = `0.0632457` Chr`8` : `23,584,226`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs9918807 lBF = `-0.0613929` Chr`8` : `130,676,639`	0.000	1.000	0.000
rs4389974 lBF = `-0.0696583` Chr`8` : `112,381,796`	0.000	1.000	0.000
rs12541335 lBF = `-0.0974774` Chr`8` : `22,088,432`	0.000	1.000	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	1.000	0.000
rs1517114 lBF = `-0.11314` Chr`8` : `69,389,217`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.000	1.000	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.000	1.000	0.000
rs328 lBF = `4.32431` Chr`8` : `19,819,724`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs72725879 lBF = `0.286854` Chr`8` : `128,103,969`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs1566080 lBF = `-0.0134141` Chr`8` : `142,556,805`	0.000	1.000	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	1.000	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	1.000	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	1.000	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	1.000	0.000
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	1.000	0.000
rs655028 lBF = `20.4236` Chr`8` : `70,049,047`	0.000	1.000	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	1.000	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)