TreeWAS – [Z91] Personal history of risk-factors, not elsewhere classified

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
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.990	0.010	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.967	0.033	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.964	0.036	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.933	0.067	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.921	0.079	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.921	0.079	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.898	0.102	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.891	0.109	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.889	0.111	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.848	0.151	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.826	0.174	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.805	0.195	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.776	0.224	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.761	0.239	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.724	0.276	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.284	0.716
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.714	0.286	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.312	0.688
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.680	0.320	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.678	0.322	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.667	0.333	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.657	0.343	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.647	0.353	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.640	0.360	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.637	0.363	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.628	0.372	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.585	0.415	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.554	0.445	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.551	0.449	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.549	0.450	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.548	0.452	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.529	0.471	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.498	0.502	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.496	0.504	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.491	0.509	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.525	0.475
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.471	0.529	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.449	0.550	0.001
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.441	0.559	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.438	0.562	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.424	0.576	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.417	0.583	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.393	0.607	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.364	0.636	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.348	0.652	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.340	0.660	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.319	0.681	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.315	0.685	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.310	0.690	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.307	0.693	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.296	0.704	0.001
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.294	0.706	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.279	0.721	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.257	0.743	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.252	0.748	0.001
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.223	0.777	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.221	0.779	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.200	0.800	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.193	0.807	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.191	0.809	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.188	0.812	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.186	0.813	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.183	0.817	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.171	0.829	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.165	0.835	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.154	0.846	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.138	0.862	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.131	0.869	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.120	0.879	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.111	0.888	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.103	0.897	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.102	0.898	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.101	0.899	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.100	0.899	0.001
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.100	0.900	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.088	0.912	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.088	0.912	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.080	0.919	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.074	0.926	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.074	0.926	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.070	0.930	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.066	0.934	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.062	0.938	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.060	0.940	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.060	0.940	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.055	0.945	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.051	0.949	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.049	0.951	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.038	0.962	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.038	0.962	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.036	0.964	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.032	0.968	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.030	0.970	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.029	0.971	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.029	0.971	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.025	0.975	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.024	0.976	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.020	0.980	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.020	0.980	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.019	0.981	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.016	0.983	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.014	0.986	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.012	0.988	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.011	0.989	0.000
rs118152513 lBF = `0.00652999` Chr`12` : `101,184,252`	0.000	0.989	0.011
rs708224 lBF = `0.158702` Chr`12` : `32,436,409`	0.011	0.989	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.010	0.990	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.009	0.991	0.000
rs34102591 lBF = `-0.0466761` Chr`12` : `124,480,801`	0.008	0.992	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.008	0.992	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.008	0.992	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.008	0.992	0.000
rs1690139 lBF = `0.260724` Chr`12` : `76,272,677`	0.000	0.993	0.007
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.007	0.993	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.007	0.993	0.000
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.006	0.993	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.007	0.993	0.000
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.006	0.994	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.006	0.994	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.994	0.005
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.005	0.994	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.005	0.995	0.000
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.005	0.995	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.005	0.995	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.005	0.995	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.005	0.995	0.000
rs1275468 lBF = `0.0210027` Chr`12` : `75,935,157`	0.005	0.995	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.005	0.995	0.000
rs145863439 lBF = `1.25684` Chr`12` : `800,834`	0.005	0.995	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.005	0.995	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.995	0.004
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.004	0.995	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.004	0.996	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.004	0.996	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.004	0.996	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.004	0.996	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.004	0.996	0.000
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.004	0.996	0.000
rs1399439 lBF = `0.00947023` Chr`12` : `101,221,239`	0.004	0.996	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.004	0.996	0.000
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.000	0.996	0.004
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.004	0.996	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.004	0.996	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.004	0.996	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.003	0.997	0.000
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.003	0.997	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.003	0.997	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.003	0.997	0.000
rs4762767 lBF = `-0.0466657` Chr`12` : `19,866,129`	0.000	0.997	0.003
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.003	0.997	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.003	0.997	0.000
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.000	0.998	0.002
rs4149018 lBF = `0.00161931` Chr`12` : `21,291,561`	0.002	0.998	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.002	0.998	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	0.998	0.002
rs3816804 lBF = `-0.0317049` Chr`12` : `56,680,745`	0.000	0.998	0.002
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.000	0.998	0.002
rs188024766 lBF = `0.00093228` Chr`12` : `101,353,534`	0.002	0.998	0.000
rs4304868 lBF = `-0.0395471` Chr`12` : `118,169,909`	0.000	0.998	0.002
rs276000 lBF = `0.00046952` Chr`12` : `59,849,677`	0.002	0.998	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.002	0.998	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.002	0.998	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.002	0.998	0.000
rs184699315 lBF = `0.00049337` Chr`12` : `71,650,779`	0.001	0.998	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.002	0.998	0.000
rs148621641 lBF = `0.0227733` Chr`12` : `78,772,439`	0.000	0.998	0.001
rs181947843 lBF = `0.00335065` Chr`12` : `108,547,387`	0.000	0.998	0.001
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.002	0.998	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.001	0.998	0.000
rs192256367 lBF = `0.00111823` Chr`12` : `107,648,405`	0.001	0.998	0.000
rs11180559 lBF = `0.335449` Chr`12` : `75,920,285`	0.000	0.999	0.001
rs7974425 lBF = `0.00058097` Chr`12` : `60,735,173`	0.001	0.999	0.000
rs11180732 lBF = `-0.00037013` Chr`12` : `76,283,354`	0.000	0.999	0.001
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.001	0.999	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.001	0.999	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.001	0.999	0.000
rs4761659 lBF = `-0.0524421` Chr`12` : `93,687,084`	0.001	0.999	0.000
rs147538848 lBF = `0.0001142` Chr`12` : `31,466,613`	0.001	0.999	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.001	0.999	0.000
rs61144803 lBF = `0.00541419` Chr`12` : `94,235,165`	0.000	0.999	0.001
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.001	0.999	0.000
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.001
rs17096606 lBF = `36.0164` Chr`12` : `38,532,743`	0.000	0.999	0.001
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.001	0.999	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.001	0.999	0.000
rs1961649 lBF = `-0.0445816` Chr`12` : `99,904,540`	0.000	0.999	0.001
rs11048674 lBF = `0.0003458` Chr`12` : `26,912,719`	0.001	0.999	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.000	0.999	0.001
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.001	0.999	0.000
rs147616082 lBF = `0.00023933` Chr`12` : `67,181,789`	0.001	0.999	0.000
rs4554975 lBF = `-0.0638751` Chr`12` : `47,201,814`	0.001	0.999	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.001	0.999	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.001	0.999	0.000
rs16926789 lBF = `-0.0139818` Chr`12` : `24,006,406`	0.000	0.999	0.001
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.001	0.999	0.000
rs10846260 lBF = `-0.10493` Chr`12` : `16,124,142`	0.000	0.999	0.001
rs12423382 lBF = `0.0000625` Chr`12` : `16,179,371`	0.001	0.999	0.000
rs11066280 lBF = `0.00004018` Chr`12` : `112,817,783`	0.001	0.999	0.001
rs78852656 lBF = `0.00003558` Chr`12` : `119,619,997`	0.001	0.999	0.000
rs12302829 lBF = `0.00003088` Chr`12` : `5,140,484`	0.001	0.999	0.000
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rs3764044 lBF = `-0.0323613` Chr`12` : `21,428,371`	0.000	1.000	0.000
rs12579350 lBF = `-0.0324323` Chr`12` : `5,797,101`	0.000	1.000	0.000
rs1565122 lBF = `-0.039805` Chr`12` : `24,858,390`	0.000	1.000	0.000
rs549433 lBF = `-0.0838029` Chr`12` : `63,180,816`	0.000	1.000	0.000
rs7296313 lBF = `21.6862` Chr`12` : `111,878,526`	0.000	1.000	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.000	1.000	0.000
rs35444 lBF = `13.1451` Chr`12` : `115,552,437`	0.000	1.000	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.000	1.000	0.000
rs2681492 lBF = `7.4568` Chr`12` : `90,013,089`	0.000	1.000	0.000
rs2681472 lBF = `7.29296` Chr`12` : `90,008,959`	0.000	1.000	0.000
rs10771399 lBF = `4.40482` Chr`12` : `28,155,080`	0.000	1.000	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs416350 lBF = `0.377076` Chr`12` : `68,779,413`	0.000	1.000	0.000
rs11112046 lBF = `0.314989` Chr`12` : `104,818,192`	0.000	1.000	0.000
rs2066938 lBF = `0.122999` Chr`12` : `121,160,615`	0.000	1.000	0.000
rs61943529 lBF = `0.0213403` Chr`12` : `118,601,856`	0.000	1.000	0.000
rs4765623 lBF = `0.00216448` Chr`12` : `125,320,850`	0.000	1.000	0.000
rs10743430 lBF = `-0.00561848` Chr`12` : `22,151,573`	0.000	1.000	0.000
rs117483990 lBF = `-0.00680357` Chr`12` : `90,224,714`	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
rs2965667 lBF = `-0.019105` Chr`12` : `17,444,733`	0.000	1.000	0.000
rs17605016 lBF = `-0.0446799` Chr`12` : `62,250,420`	0.000	1.000	0.000
rs2403106 lBF = `-0.0508285` Chr`12` : `84,008,275`	0.000	1.000	0.000
rs483610 lBF = `-0.0894546` Chr`12` : `99,334,529`	0.000	1.000	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	1.000	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.000	1.000	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.000	1.000	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.000	1.000	0.000
rs112979434 lBF = `9.23181` Chr`12` : `9,885,707`	0.000	1.000	0.000
rs58116261 lBF = `8.77788` Chr`12` : `112,935,344`	0.000	1.000	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.000	1.000	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.000	1.000	0.000
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.000	1.000	0.000
rs1716403 lBF = `0.583299` Chr`12` : `124,519,846`	0.000	1.000	0.000
rs789560 lBF = `0.442685` Chr`12` : `70,331,827`	0.000	1.000	0.000
rs17719439 lBF = `0.392579` Chr`12` : `116,211,863`	0.000	1.000	0.000
rs2111398 lBF = `0.201704` Chr`12` : `13,075,202`	0.000	1.000	0.000
rs2014355 lBF = `0.133864` Chr`12` : `121,175,524`	0.000	1.000	0.000
rs1677894 lBF = `0.13308` Chr`12` : `78,337,936`	0.000	1.000	0.000
rs4625554 lBF = `0.116226` Chr`12` : `4,416,304`	0.000	1.000	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.000	1.000	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.000	1.000	0.000
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.000	1.000	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.000	1.000	0.000
rs1800693 lBF = `0.040949` Chr`12` : `6,440,009`	0.000	1.000	0.000
rs10842707 lBF = `0.0399004` Chr`12` : `26,471,364`	0.000	1.000	0.000
rs1520832 lBF = `0.0100874` Chr`12` : `43,253,415`	0.000	1.000	0.000
rs7136572 lBF = `-0.00402774` Chr`12` : `95,959,788`	0.000	1.000	0.000
rs718314 lBF = `-0.00951497` Chr`12` : `26,453,283`	0.000	1.000	0.000
rs116075389 lBF = `-0.0115206` Chr`12` : `68,957,164`	0.000	1.000	0.000
rs11046207 lBF = `-0.0250733` Chr`12` : `21,996,045`	0.000	1.000	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	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
rs11616188 lBF = `-0.0547249` Chr`12` : `6,502,742`	0.000	1.000	0.000
rs2099149 lBF = `-0.0891712` Chr`12` : `30,479,358`	0.000	1.000	0.000
rs739496 lBF = `22.8103` Chr`12` : `111,887,659`	0.000	1.000	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.000	1.000	0.000
rs10466829 lBF = `10.1959` Chr`12` : `9,876,091`	0.000	1.000	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.000	1.000	0.000
rs17249754 lBF = `6.6812` Chr`12` : `90,060,586`	0.000	1.000	0.000
rs666951 lBF = `5.01421` Chr`12` : `112,136,583`	0.000	1.000	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.000	1.000	0.000
rs7307780 lBF = `0.176028` Chr`12` : `76,220,618`	0.000	1.000	0.000
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.000	1.000	0.000
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.000	1.000	0.000
rs189010983 lBF = `0.0387565` Chr`12` : `84,086,176`	0.000	1.000	0.000
rs3794318 lBF = `0.0121707` Chr`12` : `8,758,543`	0.000	1.000	0.000
rs12810016 lBF = `0.00229369` Chr`12` : `83,308,363`	0.000	1.000	0.000
rs10848820 lBF = `-0.00858932` Chr`12` : `3,296,948`	0.000	1.000	0.000
rs11109142 lBF = `-0.00930259` Chr`12` : `98,027,691`	0.000	1.000	0.000
rs17121944 lBF = `-0.0102276` Chr`12` : `59,440,232`	0.000	1.000	0.000
rs1559997 lBF = `-0.016814` Chr`12` : `113,847,542`	0.000	1.000	0.000
rs11062102 lBF = `-0.0215623` Chr`12` : `348,785`	0.000	1.000	0.000
rs4238010 lBF = `-0.0409649` Chr`12` : `4,118,317`	0.000	1.000	0.000
rs7960010 lBF = `-0.044139` Chr`12` : `25,081,595`	0.000	1.000	0.000
rs35747 lBF = `-0.0488619` Chr`12` : `102,912,558`	0.000	1.000	0.000
rs6538140 lBF = `-0.057647` Chr`12` : `77,738,005`	0.000	1.000	0.000
rs35767 lBF = `-0.0761637` Chr`12` : `102,875,569`	0.000	1.000	0.000
rs9325144 lBF = `-0.0860986` Chr`12` : `39,018,673`	0.000	1.000	0.000
rs11055612 lBF = `-0.0887438` Chr`12` : `13,923,328`	0.000	1.000	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.000	1.000	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.000	1.000	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.000	1.000	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.000	1.000	0.000
rs2110073 lBF = `2.42215` Chr`12` : `7,075,882`	0.000	1.000	0.000
rs1464321 lBF = `0.988433` Chr`12` : `103,656,233`	0.000	1.000	0.000
rs11047102 lBF = `0.427704` Chr`12` : `23,946,146`	0.000	1.000	0.000
rs11107616 lBF = `0.243167` Chr`12` : `78,364,780`	0.000	1.000	0.000
rs3916 lBF = `0.117559` Chr`12` : `121,177,272`	0.000	1.000	0.000
rs7964899 lBF = `0.117536` Chr`12` : `14,595,756`	0.000	1.000	0.000
rs7965584 lBF = `0.0830301` Chr`12` : `90,305,779`	0.000	1.000	0.000
rs55783344 lBF = `0.0642843` Chr`12` : `121,432,299`	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

0.4558

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3208

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1833

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

1.0000

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9999

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9998

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9998

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9993

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9991

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9991

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9985

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9984

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9974

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9972

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9969

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9962

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9961

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9960

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9949

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9945

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9922

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9921

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9756

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9729

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9697

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9626

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9566

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9555

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9454

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9413

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9380

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9284

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9275

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9220

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9217

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9185

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9176

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8928

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8921

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8912

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8902

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8754

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8667

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8599

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8175

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8132

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8064

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7993

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7801

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7666

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7218

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7157

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7138

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7103

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7082

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6795

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6708

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6634

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6486

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6367

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5871

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5776

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5687

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5246

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5228

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5216

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5077

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4472

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4260

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4259

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4191

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4166

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3962

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3924

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3802

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3594

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3292

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3246

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3023

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2930

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2862

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2841

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2822

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2729

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2603

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2330

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2278

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2240

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1968

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1896

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1848

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1827

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1725

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1707

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1633

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1627

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1616

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1612

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1457

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1430

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1364

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1345

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1266

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1248

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1219

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1145

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1113

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1093

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1009

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0936

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0878

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0845

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0816

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0766

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0704

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0635

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0635

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0612

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0595

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0575

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0560

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0539

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0538

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0500

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`)