TreeWAS – [R53] Malaise and fatigue

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
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.989	0.011	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.976	0.024	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.943	0.057	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.931	0.069	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.901	0.099	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.879	0.121	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.864	0.136	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.851	0.149	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.817	0.183	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.775	0.225	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.768	0.232	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.752	0.248	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.745	0.255	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.729	0.271	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.719	0.281	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.708	0.292	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.682	0.318	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.623	0.377	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.613	0.387	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.609	0.391	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.605	0.395	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.601	0.399	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.592	0.408	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.564	0.436	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.561	0.439	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.557	0.443	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.552	0.448	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.547	0.453	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.547	0.453	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.497	0.503	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.479	0.521	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.466	0.534	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.460	0.540	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.453	0.547	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.436	0.564	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.427	0.573	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.412	0.588	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.405	0.595	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.399	0.601	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.374	0.625	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.370	0.630	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.362	0.638	0.000
rs73329476 lBF = `0.183925` Chr`12` : `69,504,083`	0.000	0.644	0.356
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.352	0.648	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.348	0.652	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.342	0.658	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.323	0.677	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.322	0.678	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.319	0.681	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.315	0.685	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.310	0.690	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.291	0.709	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.281	0.719	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.278	0.722	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.266	0.734	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.263	0.737	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.261	0.739	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.247	0.753	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.244	0.755	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.242	0.758	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.238	0.762	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.235	0.765	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.232	0.768	0.001
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.230	0.769	0.001
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.228	0.772	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.219	0.781	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.216	0.784	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.208	0.792	0.001
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.206	0.794	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.205	0.795	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.199	0.800	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.196	0.804	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.187	0.813	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.177	0.823	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.166	0.834	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.156	0.844	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.155	0.845	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.146	0.854	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.142	0.858	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.134	0.866	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.130	0.870	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.088	0.912	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.085	0.915	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.075	0.925	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.072	0.927	0.000
rs12423712 lBF = `0.0543282` Chr`12` : `125,033,933`	0.072	0.928	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.061	0.939	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.052	0.948	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.051	0.949	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.047	0.953	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.046	0.954	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.044	0.956	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.042	0.958	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.042	0.958	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.040	0.960	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.035	0.965	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.035	0.965	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.032	0.968	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.032	0.968	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.027	0.973	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.027	0.973	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.026	0.974	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.024	0.976	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.022	0.978	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.022	0.978	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.020	0.980	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.020	0.980	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.018	0.981	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.017	0.983	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.015	0.985	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.015	0.985	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.014	0.985	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.014	0.986	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.014	0.986	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.013	0.987	0.000
rs9652020 lBF = `-0.0163675` Chr`12` : `40,547,379`	0.000	0.987	0.013
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.012	0.988	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.011	0.988	0.000
rs3181157 lBF = `0.0176733` Chr`12` : `6,308,523`	0.011	0.989	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.011	0.989	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.011	0.989	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.010	0.990	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.010	0.990	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.008	0.991	0.001
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.009	0.991	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.009	0.991	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.007	0.993	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.007	0.993	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.007	0.993	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.007	0.993	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.006	0.994	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.994	0.006
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.006	0.994	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.006	0.994	0.000
rs2641530 lBF = `-0.0176772` Chr`12` : `52,384,811`	0.000	0.994	0.006
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.005	0.995	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.995	0.005
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.005	0.995	0.000
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.005	0.995	0.000
rs1836127 lBF = `-0.0214553` Chr`12` : `93,550,301`	0.000	0.995	0.005
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.004	0.995	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.004	0.996	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.004	0.996	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.996	0.004
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.004	0.996	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.004	0.996	0.000
rs895470 lBF = `-0.072321` Chr`12` : `118,146,742`	0.000	0.997	0.003
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.003	0.997	0.000
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.003	0.997	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.003	0.997	0.000
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.003	0.997	0.000
rs771998 lBF = `-0.0253253` Chr`12` : `52,358,195`	0.003	0.997	0.000
rs74377925 lBF = `0.0293844` Chr`12` : `16,699,250`	0.003	0.997	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.003	0.997	0.000
rs6488619 lBF = `-0.0880297` Chr`12` : `13,927,896`	0.000	0.997	0.003
rs10860964 lBF = `-0.0515588` Chr`12` : `103,596,455`	0.003	0.997	0.000
rs4760636 lBF = `-0.0548218` Chr`12` : `48,173,352`	0.000	0.997	0.003
rs10843647 lBF = `-0.0689499` Chr`12` : `30,341,934`	0.000	0.997	0.003
rs2036225 lBF = `-0.0670661` Chr`12` : `99,190,372`	0.003	0.997	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.002	0.998	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.002	0.998	0.000
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.002	0.998	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.002	0.998	0.000
rs181697701 lBF = `0.00035088` Chr`12` : `107,611,050`	0.002	0.998	0.000
rs148621641 lBF = `0.0227733` Chr`12` : `78,772,439`	0.002	0.998	0.000
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.002	0.998	0.000
rs303806 lBF = `-0.0234736` Chr`12` : `52,166,503`	0.000	0.998	0.002
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.998	0.000
rs190909796 lBF = `0.00805551` Chr`12` : `80,474,682`	0.000	0.998	0.002
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.002	0.998	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.002	0.998	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.002	0.998	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.002	0.998	0.000
rs188024766 lBF = `0.00093228` Chr`12` : `101,353,534`	0.002	0.998	0.000
rs4149018 lBF = `0.00161931` Chr`12` : `21,291,561`	0.002	0.998	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.002	0.998	0.000
rs192256367 lBF = `0.00111823` Chr`12` : `107,648,405`	0.002	0.998	0.000
rs4965006 lBF = `-0.0730645` Chr`12` : `132,419,533`	0.002	0.998	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.002	0.998	0.000
rs73267033 lBF = `0.00388123` Chr`12` : `7,864,476`	0.002	0.998	0.000
rs118152513 lBF = `0.00652999` Chr`12` : `101,184,252`	0.000	0.998	0.002
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.002	0.998	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.002	0.998	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.001	0.998	0.000
rs11048674 lBF = `0.0003458` Chr`12` : `26,912,719`	0.001	0.998	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.001	0.998	0.001
rs11610143 lBF = `-0.0601849` Chr`12` : `52,349,071`	0.001	0.999	0.000
rs1520832 lBF = `0.0100874` Chr`12` : `43,253,415`	0.000	0.999	0.001
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.001	0.999	0.000
rs184699315 lBF = `0.00049337` Chr`12` : `71,650,779`	0.001	0.999	0.000
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.001	0.999	0.000
rs3213545 lBF = `7.8099` Chr`12` : `121,471,337`	0.001	0.999	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.001	0.999	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.001	0.999	0.000
rs181947843 lBF = `0.00335065` Chr`12` : `108,547,387`	0.001	0.999	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.001	0.999	0.000
rs2252518 lBF = `-0.0545461` Chr`12` : `52,381,026`	0.001	0.999	0.000
rs147538848 lBF = `0.0001142` Chr`12` : `31,466,613`	0.001	0.999	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.000	0.999	0.001
rs2058350 lBF = `-0.0673523` Chr`12` : `3,913,427`	0.000	0.999	0.001
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rs1569019 lBF = `-0.0293583` Chr`12` : `131,576,191`	0.000	1.000	0.000
rs11104803 lBF = `-0.0432384` Chr`12` : `88,695,012`	0.000	1.000	0.000
rs2194980 lBF = `-0.10135` Chr`12` : `115,502,718`	0.000	1.000	0.000
rs735396 lBF = `11.5976` Chr`12` : `121,438,844`	0.000	1.000	0.000
rs17719439 lBF = `0.392579` Chr`12` : `116,211,863`	0.000	1.000	0.000
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.000	1.000	0.000
rs12319113 lBF = `0.0238283` Chr`12` : `19,024,558`	0.000	1.000	0.000
rs17539289 lBF = `-0.0209531` Chr`12` : `41,126,330`	0.000	1.000	0.000
rs12230440 lBF = `-0.0612757` Chr`12` : `1,856,953`	0.000	1.000	0.000
rs2015599 lBF = `-0.132761` Chr`12` : `29,435,480`	0.000	1.000	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.000	1.000	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.000	1.000	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.000	1.000	0.000
rs3138144 lBF = `1.55917` Chr`12` : `56,114,769`	0.000	1.000	0.000
rs66478310 lBF = `0.478704` Chr`12` : `108,842,376`	0.000	1.000	0.000
rs216303 lBF = `0.265113` Chr`12` : `6,159,045`	0.000	1.000	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.000	1.000	0.000
rs77956314 lBF = `0.0185577` Chr`12` : `117,323,367`	0.000	1.000	0.000
rs10849033 lBF = `0.0184301` Chr`12` : `4,425,122`	0.000	1.000	0.000
rs2417957 lBF = `0.0180002` Chr`12` : `21,323,611`	0.000	1.000	0.000
rs150695384 lBF = `0.0114384` Chr`12` : `64,917,042`	0.000	1.000	0.000
rs11175944 lBF = `0.00425637` Chr`12` : `66,256,395`	0.000	1.000	0.000
rs143888465 lBF = `0.00254406` Chr`12` : `52,010,108`	0.000	1.000	0.000
rs17121944 lBF = `-0.0102276` Chr`12` : `59,440,232`	0.000	1.000	0.000
rs261902 lBF = `-0.0182288` Chr`12` : `32,476,727`	0.000	1.000	0.000
rs144850704 lBF = `-0.0207004` Chr`12` : `118,062,074`	0.000	1.000	0.000
rs12367572 lBF = `-0.0918376` Chr`12` : `45,290,466`	0.000	1.000	0.000
rs7953929 lBF = `5.0262` Chr`12` : `123,758,235`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs871392 lBF = `0.133655` Chr`12` : `42,171,982`	0.000	1.000	0.000
rs10778560 lBF = `0.0420953` Chr`12` : `107,801,401`	0.000	1.000	0.000
rs3782455 lBF = `0.0156366` Chr`12` : `114,359,265`	0.000	1.000	0.000
rs650466 lBF = `0.00802182` Chr`12` : `118,646,661`	0.000	1.000	0.000
rs150516896 lBF = `-0.0114489` Chr`12` : `68,955,572`	0.000	1.000	0.000
rs114588203 lBF = `-0.0114496` Chr`12` : `68,956,185`	0.000	1.000	0.000
rs116075389 lBF = `-0.0115206` Chr`12` : `68,957,164`	0.000	1.000	0.000
rs10773046 lBF = `-0.040599` Chr`12` : `124,375,210`	0.000	1.000	0.000
rs11613092 lBF = `-0.048634` Chr`12` : `118,893,248`	0.000	1.000	0.000
rs11047510 lBF = `-0.0931089` Chr`12` : `8,989,916`	0.000	1.000	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.000	1.000	0.000
rs1169313 lBF = `11.6007` Chr`12` : `121,442,670`	0.000	1.000	0.000
rs1402279 lBF = `0.0579971` Chr`12` : `77,729,385`	0.000	1.000	0.000
rs17824620 lBF = `0.0411077` Chr`12` : `113,100,994`	0.000	1.000	0.000
rs11053548 lBF = `0.0256014` Chr`12` : `10,170,727`	0.000	1.000	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	1.000	0.000
rs4148660 lBF = `-0.0495509` Chr`12` : `22,059,617`	0.000	1.000	0.000
rs555044 lBF = `-0.0586751` Chr`12` : `335,922`	0.000	1.000	0.000
rs11168249 lBF = `-0.0953362` Chr`12` : `48,208,368`	0.000	1.000	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.000	1.000	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.000	1.000	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.000	1.000	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.000	1.000	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.000	1.000	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.000	1.000	0.000
rs2261181 lBF = `5.79392` Chr`12` : `66,212,318`	0.000	1.000	0.000
rs3217810 lBF = `1.81932` Chr`12` : `4,388,271`	0.000	1.000	0.000
rs11112046 lBF = `0.314989` Chr`12` : `104,818,192`	0.000	1.000	0.000
rs2172873 lBF = `0.108565` Chr`12` : `103,125,690`	0.000	1.000	0.000
rs1265507 lBF = `0.0528145` Chr`12` : `114,868,138`	0.000	1.000	0.000
rs189010983 lBF = `0.0387565` Chr`12` : `84,086,176`	0.000	1.000	0.000
rs939876 lBF = `0.0093031` Chr`12` : `65,252,118`	0.000	1.000	0.000
rs1513049 lBF = `0.00460279` Chr`12` : `17,362,816`	0.000	1.000	0.000
rs601339 lBF = `-0.0133245` Chr`12` : `123,174,743`	0.000	1.000	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	0.000	1.000	0.000
rs3764044 lBF = `-0.0323613` Chr`12` : `21,428,371`	0.000	1.000	0.000
rs1994090 lBF = `-0.0517336` Chr`12` : `40,428,561`	0.000	1.000	0.000
rs4761470 lBF = `-0.0801192` Chr`12` : `94,683,204`	0.000	1.000	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.000	1.000	0.000
rs1059513 lBF = `6.33848` Chr`12` : `57,489,709`	0.000	1.000	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.000	1.000	0.000
rs150828104 lBF = `0.860743` Chr`12` : `116,775,695`	0.000	1.000	0.000
rs1063857 lBF = `0.413169` Chr`12` : `6,153,514`	0.000	1.000	0.000
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.000	1.000	0.000
rs7973572 lBF = `0.0461244` Chr`12` : `24,289,366`	0.000	1.000	0.000
rs11049300 lBF = `0.0426733` Chr`12` : `28,195,125`	0.000	1.000	0.000
rs3782724 lBF = `0.0398054` Chr`12` : `6,466,081`	0.000	1.000	0.000
rs77724872 lBF = `0.0190681` Chr`12` : `104,754,500`	0.000	1.000	0.000
rs17429217 lBF = `0.00288289` Chr`12` : `117,295,333`	0.000	1.000	0.000
rs17095830 lBF = `-0.0101787` Chr`12` : `45,774,908`	0.000	1.000	0.000
rs12812736 lBF = `-0.0119698` Chr`12` : `128,075,012`	0.000	1.000	0.000
rs2965667 lBF = `-0.019105` Chr`12` : `17,444,733`	0.000	1.000	0.000
rs10783615 lBF = `-0.0295621` Chr`12` : `54,349,773`	0.000	1.000	0.000
rs11104379 lBF = `-0.0312616` Chr`12` : `87,659,989`	0.000	1.000	0.000
rs55874825 lBF = `-0.0361321` Chr`12` : `56,070,668`	0.000	1.000	0.000
rs11174650 lBF = `-0.0389025` Chr`12` : `63,179,929`	0.000	1.000	0.000
rs61745943 lBF = `-0.0420207` Chr`12` : `92,562,407`	0.000	1.000	0.000
rs12300899 lBF = `-0.0481046` Chr`12` : `125,546,575`	0.000	1.000	0.000
rs249153 lBF = `-0.0832058` Chr`12` : `95,324,389`	0.000	1.000	0.000
rs10858583 lBF = `-0.0982918` Chr`12` : `87,728,443`	0.000	1.000	0.000
rs1545843 lBF = `-0.10568` Chr`12` : `84,564,068`	0.000	1.000	0.000
rs1182933 lBF = `10.2507` Chr`12` : `121,454,622`	0.000	1.000	0.000
rs58116261 lBF = `8.77788` Chr`12` : `112,935,344`	0.000	1.000	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.000	1.000	0.000
rs10771399 lBF = `4.40482` Chr`12` : `28,155,080`	0.000	1.000	0.000
rs7306755 lBF = `3.21974` Chr`12` : `123,767,929`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.9840

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0844

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9999

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9999

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9995

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9989

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9983

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9982

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9955

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9930

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9927

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9914

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9888

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9825

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9816

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9743

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9695

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9615

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9584

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9557

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9493

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9428

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9327

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9298

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8699

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8630

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8619

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8437

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8230

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7827

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7145

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6104

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6069

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5534

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4862

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4857

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4699

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3812

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3738

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3500

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3252

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3002

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2981

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2912

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2824

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2617

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2424

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2235

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2218

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2070

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2036

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1957

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1618

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1566

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1241

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1158

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1133

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0588

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0555

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0550

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0541

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`)