TreeWAS – [R06] Abnormalities of breathing

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
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.981	0.019	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.966	0.034	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.948	0.052	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.913	0.087	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.899	0.101	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.869	0.131	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.868	0.132	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.848	0.152	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.792	0.208	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.774	0.226	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.750	0.250	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.645	0.355	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.637	0.363	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.626	0.374	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.616	0.384	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.615	0.385	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.604	0.396	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.591	0.409	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.566	0.434	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.560	0.440	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.553	0.447	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.547	0.453	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.541	0.459	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.536	0.464	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.533	0.467	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.521	0.479	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.517	0.483	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.516	0.484	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.515	0.485	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.504	0.496	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.498	0.502	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.487	0.513	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.465	0.535	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.441	0.559	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.432	0.568	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.416	0.584	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.410	0.590	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.387	0.613	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.385	0.615	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.365	0.635	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.361	0.639	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.344	0.656	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.343	0.657	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.342	0.658	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.316	0.684	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.313	0.687	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.309	0.691	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.308	0.692	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.284	0.716	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.280	0.720	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.275	0.725	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.268	0.731	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.233	0.767	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.223	0.777	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.222	0.778	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.218	0.782	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.207	0.793	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.203	0.797	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.199	0.801	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.197	0.803	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.190	0.809	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.190	0.810	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.189	0.811	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.172	0.828	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.171	0.829	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.146	0.853	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.143	0.857	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.131	0.869	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.130	0.870	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.124	0.876	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.119	0.881	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.112	0.888	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.111	0.889	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.107	0.893	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.107	0.893	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.103	0.897	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.088	0.912	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.079	0.921	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.076	0.924	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.076	0.924	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.068	0.932	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.067	0.933	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.063	0.937	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.059	0.941	0.000
rs7306642 lBF = `0.0327926` Chr`12` : `104,139,034`	0.000	0.943	0.057
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.056	0.944	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.055	0.945	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.052	0.948	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.051	0.949	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.050	0.950	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.047	0.953	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.042	0.958	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.042	0.958	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.041	0.959	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.039	0.961	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.030	0.970	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.028	0.972	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.027	0.973	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.023	0.977	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.022	0.978	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.022	0.978	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.022	0.978	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.022	0.978	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.021	0.979	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.018	0.982	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.017	0.983	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.017	0.983	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.015	0.985	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.014	0.985	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.015	0.985	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.014	0.986	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.013	0.987	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.012	0.988	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.012	0.988	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.012	0.988	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.012	0.988	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.012	0.988	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.012	0.988	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.010	0.990	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.009	0.990	0.001
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.010	0.990	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.009	0.991	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.009	0.991	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.009	0.991	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.008	0.992	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.007	0.993	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.007	0.993	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.007	0.993	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.007	0.993	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.007	0.993	0.000
rs4298948 lBF = `0.0247646` Chr`12` : `122,276,255`	0.000	0.993	0.007
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.007	0.993	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.007	0.993	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.005	0.994	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.005	0.995	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.995	0.005
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.005	0.995	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.005	0.995	0.000
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.005	0.995	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.004	0.995	0.001
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.005	0.995	0.000
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.000	0.995	0.004
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.005	0.995	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.995	0.004
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.004	0.996	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.004	0.996	0.000
rs189010983 lBF = `0.0387565` Chr`12` : `84,086,176`	0.000	0.996	0.004
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.000	0.996	0.004
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.004	0.996	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.003	0.996	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.004	0.996	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.004	0.996	0.000
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.003	0.996	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	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
rs7970953 lBF = `-0.0693781` Chr`12` : `24,075,508`	0.000	0.997	0.003
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.003	0.997	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.003	0.997	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.003	0.997	0.000
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.002	0.997	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.003	0.997	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.003	0.997	0.000
rs190909796 lBF = `0.00805551` Chr`12` : `80,474,682`	0.000	0.998	0.002
rs2020854 lBF = `0.0803119` Chr`12` : `56,743,367`	0.000	0.998	0.002
rs11575234 lBF = `0.0815188` Chr`12` : `56,744,276`	0.000	0.998	0.002
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.998	0.000
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.000	0.998	0.002
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.002	0.998	0.000
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
rs9971637 lBF = `-0.00275548` Chr`12` : `17,373,739`	0.002	0.998	0.000
rs181697701 lBF = `0.00035088` Chr`12` : `107,611,050`	0.002	0.998	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.002	0.998	0.000
rs2066819 lBF = `0.0817399` Chr`12` : `56,750,204`	0.000	0.998	0.002
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.002	0.998	0.000
rs11048674 lBF = `0.0003458` Chr`12` : `26,912,719`	0.002	0.998	0.000
rs192256367 lBF = `0.00111823` Chr`12` : `107,648,405`	0.002	0.998	0.000
rs4149018 lBF = `0.00161931` Chr`12` : `21,291,561`	0.001	0.998	0.000
rs150516896 lBF = `-0.0114489` Chr`12` : `68,955,572`	0.002	0.998	0.000
rs188024766 lBF = `0.00093228` Chr`12` : `101,353,534`	0.001	0.998	0.000
rs116075389 lBF = `-0.0115206` Chr`12` : `68,957,164`	0.002	0.998	0.000
rs114588203 lBF = `-0.0114496` Chr`12` : `68,956,185`	0.002	0.998	0.000
rs184699315 lBF = `0.00049337` Chr`12` : `71,650,779`	0.001	0.998	0.000
rs118152513 lBF = `0.00652999` Chr`12` : `101,184,252`	0.000	0.999	0.001
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.001	0.999	0.000
rs2066808 lBF = `0.103548` Chr`12` : `56,737,973`	0.000	0.999	0.001
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.001	0.999	0.000
rs139660738 lBF = `0.00949875` Chr`12` : `95,185,188`	0.001	0.999	0.000
rs1895585 lBF = `1.05922` Chr`12` : `114,802,138`	0.000	0.999	0.001
rs2066807 lBF = `0.0731955` Chr`12` : `56,740,682`	0.000	0.999	0.001
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.999	0.001
rs147538848 lBF = `0.0001142` Chr`12` : `31,466,613`	0.001	0.999	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.001	0.999	0.000
rs148621641 lBF = `0.0227733` Chr`12` : `78,772,439`	0.001	0.999	0.000
rs276000 lBF = `0.00046952` Chr`12` : `59,849,677`	0.001	0.999	0.000
rs147616082 lBF = `0.00023933` Chr`12` : `67,181,789`	0.001	0.999	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.001	0.999	0.000
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.000	0.999	0.001
rs181947843 lBF = `0.00335065` Chr`12` : `108,547,387`	0.001	0.999	0.000
rs12423382 lBF = `0.0000625` Chr`12` : `16,179,371`	0.001	0.999	0.000
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rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.000	1.000	0.000
rs687751 lBF = `20.8547` Chr`12` : `52,907,803`	0.000	1.000	0.000
rs3217810 lBF = `1.81932` Chr`12` : `4,388,271`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs12427353 lBF = `0.204349` Chr`12` : `121,426,901`	0.000	1.000	0.000
rs78791096 lBF = `0.0602953` Chr`12` : `13,536,146`	0.000	1.000	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.000	1.000	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	1.000	0.000
rs10778560 lBF = `0.0420953` Chr`12` : `107,801,401`	0.000	1.000	0.000
rs2417957 lBF = `0.0180002` Chr`12` : `21,323,611`	0.000	1.000	0.000
rs137949660 lBF = `0.0004879` Chr`12` : `117,933,500`	0.000	1.000	0.000
rs7965445 lBF = `-0.0195556` Chr`12` : `131,862,903`	0.000	1.000	0.000
rs12370275 lBF = `-0.0573788` Chr`12` : `61,907,022`	0.000	1.000	0.000
rs7968960 lBF = `18.337` Chr`12` : `111,426,615`	0.000	1.000	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.000	1.000	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.000	1.000	0.000
rs1167125 lBF = `0.204614` Chr`12` : `43,434,282`	0.000	1.000	0.000
rs2172873 lBF = `0.108565` Chr`12` : `103,125,690`	0.000	1.000	0.000
rs116910038 lBF = `0.0694182` Chr`12` : `85,424,093`	0.000	1.000	0.000
rs11062040 lBF = `0.0606984` Chr`12` : `2,091,257`	0.000	1.000	0.000
rs1880887 lBF = `0.0224167` Chr`12` : `41,721,430`	0.000	1.000	0.000
rs73200449 lBF = `0.0158231` Chr`12` : `110,078,967`	0.000	1.000	0.000
rs3794318 lBF = `0.0121707` Chr`12` : `8,758,543`	0.000	1.000	0.000
rs11109072 lBF = `0.00527338` Chr`12` : `97,901,270`	0.000	1.000	0.000
rs1442190 lBF = `0.0041724` Chr`12` : `41,365,640`	0.000	1.000	0.000
rs17429217 lBF = `0.00288289` Chr`12` : `117,295,333`	0.000	1.000	0.000
rs7132746 lBF = `-0.00268893` Chr`12` : `86,259,458`	0.000	1.000	0.000
rs275380 lBF = `-0.0100521` Chr`12` : `43,929,996`	0.000	1.000	0.000
rs12316703 lBF = `-0.0111268` Chr`12` : `118,840,457`	0.000	1.000	0.000
rs11829119 lBF = `-0.0240856` Chr`12` : `19,193,531`	0.000	1.000	0.000
rs36104021 lBF = `-0.0330342` Chr`12` : `103,361,112`	0.000	1.000	0.000
rs61745943 lBF = `-0.0420207` Chr`12` : `92,562,407`	0.000	1.000	0.000
rs11104877 lBF = `-0.0453462` Chr`12` : `88,837,244`	0.000	1.000	0.000
rs4534636 lBF = `-0.0481322` Chr`12` : `8,666,801`	0.000	1.000	0.000
rs2011738 lBF = `-0.0563275` Chr`12` : `219,988`	0.000	1.000	0.000
rs12309274 lBF = `-0.0621926` Chr`12` : `975,948`	0.000	1.000	0.000
rs1965221 lBF = `-0.0768289` Chr`12` : `95,975,038`	0.000	1.000	0.000
rs11055612 lBF = `-0.0887438` Chr`12` : `13,923,328`	0.000	1.000	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.000	1.000	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.000	1.000	0.000
rs404443 lBF = `10.1143` Chr`12` : `52,860,609`	0.000	1.000	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.000	1.000	0.000
rs3764022 lBF = `7.4239` Chr`12` : `9,833,524`	0.000	1.000	0.000
rs627308 lBF = `6.30299` Chr`12` : `112,146,555`	0.000	1.000	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.000	1.000	0.000
rs886205 lBF = `6.08279` Chr`12` : `112,204,427`	0.000	1.000	0.000
rs56108400 lBF = `5.8095` Chr`12` : `56,213,297`	0.000	1.000	0.000
rs6490294 lBF = `5.12935` Chr`12` : `112,190,438`	0.000	1.000	0.000
rs3863381 lBF = `0.873288` Chr`12` : `106,103,568`	0.000	1.000	0.000
rs150828104 lBF = `0.860743` Chr`12` : `116,775,695`	0.000	1.000	0.000
rs17040430 lBF = `0.425945` Chr`12` : `108,742,820`	0.000	1.000	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.000	1.000	0.000
rs766903 lBF = `0.131364` Chr`12` : `51,703,834`	0.000	1.000	0.000
rs11066587 lBF = `0.084786` Chr`12` : `113,979,656`	0.000	1.000	0.000
rs10849689 lBF = `0.0794566` Chr`12` : `110,493,222`	0.000	1.000	0.000
rs12303914 lBF = `0.0789373` Chr`12` : `10,471,050`	0.000	1.000	0.000
rs10506418 lBF = `0.0272495` Chr`12` : `61,488,772`	0.000	1.000	0.000
rs138850252 lBF = `0.0193022` Chr`12` : `126,567,246`	0.000	1.000	0.000
rs146238395 lBF = `0.00960375` Chr`12` : `118,443,870`	0.000	1.000	0.000
rs61941274 lBF = `0.00529695` Chr`12` : `112,132,610`	0.000	1.000	0.000
rs73267033 lBF = `0.00388123` Chr`12` : `7,864,476`	0.000	1.000	0.000
rs11045818 lBF = `-0.00183546` Chr`12` : `21,329,761`	0.000	1.000	0.000
rs17124610 lBF = `-0.00500773` Chr`12` : `61,549,081`	0.000	1.000	0.000
rs11176749 lBF = `-0.00845982` Chr`12` : `67,852,784`	0.000	1.000	0.000
rs10773971 lBF = `-0.0157233` Chr`12` : `1,740,171`	0.000	1.000	0.000
rs2965667 lBF = `-0.019105` Chr`12` : `17,444,733`	0.000	1.000	0.000
rs10771515 lBF = `-0.019467` Chr`12` : `9,463,806`	0.000	1.000	0.000
rs11113894 lBF = `-0.0231673` Chr`12` : `108,841,863`	0.000	1.000	0.000
rs10219495 lBF = `-0.0346395` Chr`12` : `92,890,520`	0.000	1.000	0.000
rs2055677 lBF = `-0.0445437` Chr`12` : `45,238,904`	0.000	1.000	0.000
rs67053123 lBF = `-0.0680212` Chr`12` : `125,353,810`	0.000	1.000	0.000
rs10777709 lBF = `-0.0682852` Chr`12` : `95,975,986`	0.000	1.000	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	1.000	0.000
rs10744777 lBF = `24.8672` Chr`12` : `112,233,018`	0.000	1.000	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.000	1.000	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.000	1.000	0.000
rs10774613 lBF = `10.8225` Chr`12` : `111,546,165`	0.000	1.000	0.000
rs373374 lBF = `9.61442` Chr`12` : `52,880,007`	0.000	1.000	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.000	1.000	0.000
rs12823357 lBF = `6.08625` Chr`12` : `55,473,859`	0.000	1.000	0.000
rs1270884 lBF = `5.76802` Chr`12` : `114,685,571`	0.000	1.000	0.000
rs3752630 lBF = `5.44827` Chr`12` : `112,375,990`	0.000	1.000	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	1.000	0.000
rs66478310 lBF = `0.478704` Chr`12` : `108,842,376`	0.000	1.000	0.000
rs7953959 lBF = `0.140506` Chr`12` : `97,528,140`	0.000	1.000	0.000
rs10507017 lBF = `0.118015` Chr`12` : `93,164,936`	0.000	1.000	0.000
rs888468 lBF = `0.0703459` Chr`12` : `4,533,379`	0.000	1.000	0.000
rs2289936 lBF = `0.0676215` Chr`12` : `65,471,467`	0.000	1.000	0.000
rs11058488 lBF = `0.0657132` Chr`12` : `126,551,205`	0.000	1.000	0.000
rs12423712 lBF = `0.0543282` Chr`12` : `125,033,933`	0.000	1.000	0.000
rs12296850 lBF = `0.0454461` Chr`12` : `100,820,085`	0.000	1.000	0.000
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.000	1.000	0.000
rs11064881 lBF = `0.0319045` Chr`12` : `120,146,925`	0.000	1.000	0.000
rs77724872 lBF = `0.0190681` Chr`12` : `104,754,500`	0.000	1.000	0.000
rs3181157 lBF = `0.0176733` Chr`12` : `6,308,523`	0.000	1.000	0.000
rs2110166 lBF = `0.013679` Chr`12` : `5,751,342`	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

0.4797

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9999

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9999

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9999

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9996

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9995

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9983

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9982

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9963

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9916

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9900

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9884

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9883

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9883

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9878

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9819

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9745

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9722

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9712

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9557

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9526

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9458

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9350

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9348

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9257

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8901

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8837

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8715

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8639

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8408

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8161

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7978

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7713

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7368

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7220

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7091

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7014

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6820

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6346

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6310

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6160

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6039

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5714

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5337

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4991

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4627

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4114

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3617

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3103

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3051

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2797

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2707

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2626

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2557

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2468

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2372

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2293

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2240

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2214

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2059

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2010

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1998

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1894

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1893

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1806

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1480

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1419

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1400

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1311

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1184

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1081

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1043

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1027

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0950

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0857

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0831

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0787

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0635

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0632

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0606

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0553

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0547

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.

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R06.0 Dyspnoea R06.1 Stridor R06.2 Wheezing R06.3 Periodic breathing R06.4 Hyperventilation R06.5 Mouth breathing R06.6 Hiccough R06.7 Sneezing R06.8 Other and unspecified abnormalities of breathing

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`)