TreeWAS – [R09.0] Asphyxia

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
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.726	0.274	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.687	0.313	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.655	0.345	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.648	0.352	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.634	0.366	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.603	0.397	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.592	0.408	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.592	0.408	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.591	0.409	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.588	0.412	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.581	0.419	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.571	0.429	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.551	0.449	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.546	0.453	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.546	0.454	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.543	0.457	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.542	0.457	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.542	0.458	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.518	0.482	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.513	0.487	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.510	0.490	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.507	0.493	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.487	0.513	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.462	0.537	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.457	0.543	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.446	0.554	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.438	0.562	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.436	0.564	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.434	0.566	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.426	0.573	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.424	0.575	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.423	0.577	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.397	0.603	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.395	0.605	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.346	0.654	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.341	0.659	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.334	0.665	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.316	0.684	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.309	0.691	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.307	0.693	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.705	0.294
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.287	0.713	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.286	0.714	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.283	0.717	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.278	0.722	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.278	0.722	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.275	0.724	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.269	0.731	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.262	0.738	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.261	0.738	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.246	0.754	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.231	0.769	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.227	0.773	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.223	0.777	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.222	0.778	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.218	0.782	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.217	0.783	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.210	0.790	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.209	0.791	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.205	0.795	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.203	0.797	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.193	0.807	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.192	0.808	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.178	0.821	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.160	0.840	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.149	0.851	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.146	0.854	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.145	0.854	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.142	0.858	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.134	0.866	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.131	0.869	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.129	0.871	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.126	0.874	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.126	0.874	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.124	0.876	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.121	0.878	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.121	0.879	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.121	0.879	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.119	0.881	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.116	0.883	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.112	0.887	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.111	0.889	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.108	0.892	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.107	0.892	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.092	0.908	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.084	0.916	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.082	0.918	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.078	0.922	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.074	0.926	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.073	0.926	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.073	0.927	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.071	0.929	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.066	0.934	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.065	0.935	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.064	0.936	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.063	0.937	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.057	0.943	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.056	0.944	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.945	0.055
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.043	0.957	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.040	0.960	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.032	0.968	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.031	0.969	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.030	0.970	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.028	0.972	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.024	0.976	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.021	0.978	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.021	0.978	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.021	0.978	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.021	0.979	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.020	0.980	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.020	0.980	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.018	0.982	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.018	0.982	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.017	0.983	0.000
rs6472903 lBF = `-0.0821263` Chr`8` : `76,230,301`	0.000	0.987	0.013
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.012	0.988	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.988	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.011	0.989	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.010	0.989	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.010	0.990	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.010	0.990	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.009	0.990	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.991	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.008	0.992	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.008	0.992	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.008	0.992	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.008	0.992	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.007	0.993	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.007	0.993	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.006	0.994	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.006	0.994	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.006	0.994	0.000
rs11989868 lBF = `-0.0864361` Chr`8` : `14,550,156`	0.000	0.994	0.006
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.005	0.995	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.005	0.995	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.005	0.995	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.004	0.995	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.005	0.995	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.004	0.996	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.004	0.996	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.004	0.996	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.004	0.996	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.003	0.996	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	0.996	0.003
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.003	0.997	0.000
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.003	0.997	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.003	0.997	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.003	0.997	0.000
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.000	0.997	0.003
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.003	0.997	0.000
rs7833268 lBF = `0.129484` Chr`8` : `23,818,687`	0.003	0.997	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.002	0.997	0.000
rs7818382 lBF = `-0.0469083` Chr`8` : `96,054,000`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.997	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.002	0.997	0.000
rs2648875 lBF = `0.0245957` Chr`8` : `129,072,161`	0.003	0.997	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.002	0.997	0.000
rs13277113 lBF = `0.158059` Chr`8` : `11,349,186`	0.002	0.997	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.002	0.998	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.002	0.998	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.002	0.998	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.002	0.998	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.998	0.002
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.002	0.998	0.000
rs1018836 lBF = `1.5813` Chr`8` : `91,570,362`	0.002	0.998	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.002	0.998	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.002	0.998	0.000
rs17466684 lBF = `-0.0699541` Chr`8` : `27,452,847`	0.000	0.998	0.002
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.000	0.998	0.002
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.002	0.998	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.998	0.000
rs2243407 lBF = `0.00350594` Chr`8` : `11,480,457`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.001	0.998	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.001	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs12543592 lBF = `-0.0469522` Chr`8` : `123,511,652`	0.002	0.998	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.001	0.998	0.000
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.002	0.998	0.000
rs10958369 lBF = `-0.0743503` Chr`8` : `54,410,208`	0.000	0.998	0.001
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.001	0.999	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.001	0.999	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs7819937 lBF = `0.532275` Chr`8` : `3,118,779`	0.001	0.999	0.000
rs7816032 lBF = `-0.0496174` Chr`8` : `19,786,891`	0.000	0.999	0.001
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	0.999	0.001
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.001	0.999	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.001	0.999	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.001	0.999	0.000
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rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.001	0.999	0.000
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.000	0.999	0.001
rs7846385 lBF = `0.153393` Chr`8` : `78,160,179`	0.000	0.999	0.001
rs4735677 lBF = `0.145963` Chr`8` : `78,148,191`	0.000	0.999	0.001
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.001	0.999	0.000
rs189798 lBF = `-0.0122038` Chr`8` : `8,990,577`	0.001	0.999	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.001	0.999	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.001	0.999	0.000
rs4732957 lBF = `-0.0504621` Chr`8` : `26,718,880`	0.001	0.999	0.000
rs11785622 lBF = `-0.0648869` Chr`8` : `99,317,739`	0.001	0.999	0.000
rs1154053 lBF = `-0.0856882` Chr`8` : `4,285,390`	0.001	0.999	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.000	0.999	0.001
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	0.999	0.001
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	0.999	0.000
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.001	0.999	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.001	0.999	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	0.999	0.001
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.001	0.999	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	0.999	0.001
rs13278529 lBF = `-0.045506` Chr`8` : `40,333,321`	0.000	0.999	0.001
rs6468442 lBF = `-0.0719252` Chr`8` : `37,686,749`	0.001	0.999	0.000
rs1013209 lBF = `-0.0833888` Chr`8` : `24,116,304`	0.000	0.999	0.001
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.000	0.999	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	0.999	0.001
rs17807624 lBF = `0.633807` Chr`8` : `11,463,015`	0.001	0.999	0.000
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.001	0.999	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	0.999	0.001
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.001	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	0.999	0.001
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	0.999	0.001
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	0.999	0.000
rs311392 lBF = `-0.0639479` Chr`8` : `55,084,782`	0.000	0.999	0.001
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.000	0.999	0.001
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.001	0.999	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	0.999	0.001
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	0.999	0.000
rs10086908 lBF = `3.53715` Chr`8` : `128,011,937`	0.000	0.999	0.001
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	0.999	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.000	0.999	0.001
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.000
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.000	0.999	0.001
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.000	0.999	0.001
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.001	0.999	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	0.000	0.999	0.001
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.001	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	0.999	0.000
rs16918254 lBF = `-0.0365552` Chr`8` : `53,769,213`	0.000	0.999	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	0.999	0.001
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	0.999	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	0.999	0.000
rs3764796 lBF = `0.00828194` Chr`8` : `17,157,677`	0.000	0.999	0.000
rs4841398 lBF = `0.00282566` Chr`8` : `10,462,806`	0.000	0.999	0.001
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs144606178 lBF = `-0.0402931` Chr`8` : `1,299,878`	0.001	0.999	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	0.999	0.001
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	0.999	0.001
rs7011049 lBF = `-0.0709462` Chr`8` : `53,834,012`	0.001	0.999	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	0.999	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.000	0.999	0.001
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	0.999	0.001
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.000	0.999	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	0.999	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	0.999	0.001
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.000	0.999	0.001
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	0.999	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	0.999	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	0.999	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	0.999	0.000
rs9657451 lBF = `-0.0524017` Chr`8` : `138,905,296`	0.000	0.999	0.001
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.999	0.001
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	0.999	0.000
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.001	0.999	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.000	0.999	0.000
rs12545109 lBF = `0.282577` Chr`8` : `57,313,906`	0.001	0.999	0.000
rs7012814 lBF = `0.264762` Chr`8` : `9,173,358`	0.001	0.999	0.000
rs3104888 lBF = `0.105305` Chr`8` : `96,621,168`	0.000	0.999	0.001
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	0.999	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	0.999	0.000
rs2360806 lBF = `0.00648987` Chr`8` : `53,125,734`	0.000	0.999	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	0.999	0.000
rs13256369 lBF = `-0.0319504` Chr`8` : `8,577,379`	0.000	0.999	0.000
rs10505574 lBF = `-0.0558895` Chr`8` : `132,472,102`	0.000	0.999	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	0.999	0.001
rs1395804 lBF = `-0.0661562` Chr`8` : `132,510,680`	0.001	0.999	0.000
rs1387221 lBF = `-0.0694636` Chr`8` : `59,601,557`	0.000	0.999	0.000
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	0.999	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.000	0.999	0.000
rs7017914 lBF = `1.95556` Chr`8` : `71,591,203`	0.001	0.999	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	0.999	0.000
rs2736345 lBF = `0.0780459` Chr`8` : `11,352,485`	0.000	0.999	0.000
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.000	0.999	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

0.4347

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9916

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9842

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9805

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9669

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9597

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9593

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9576

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9419

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9382

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9377

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9375

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9322

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9293

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9282

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9192

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9067

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9001

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8996

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8953

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8893

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8862

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8823

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8676

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8651

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8582

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8541

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8516

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8484

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8086

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8020

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7907

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7871

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7762

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7618

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7590

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7532

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7457

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7351

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7267

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7219

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7126

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7097

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7054

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7046

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6666

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6638

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6149

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6140

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6136

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5963

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5359

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5137

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5032

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5013

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4997

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4758

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4750

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4741

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4592

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4506

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4454

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3666

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3578

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3100

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2764

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2671

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2616

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2381

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2278

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2105

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2049

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1925

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1867

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1636

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1585

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1451

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1258

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1204

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1200

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1146

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1022

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1011

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0985

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0925

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0925

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0860

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0852

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0795

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0765

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0584

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0558

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`)