TreeWAS – [K25.3] Acute without haemorrhage or perforation

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
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.746	0.254	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.641	0.359	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.626	0.374	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.596	0.404	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.575	0.425	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.493	0.506	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.490	0.509	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.469	0.531	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.453	0.547	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.420	0.580	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.414	0.586	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.407	0.593	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.405	0.595	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.401	0.599	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.399	0.601	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.354	0.646	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.352	0.648	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.347	0.653	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.312	0.687	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.238	0.761	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.234	0.766	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.217	0.783	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.214	0.786	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.209	0.790	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.181	0.819	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.147	0.853	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.144	0.856	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.132	0.868	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.130	0.870	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.126	0.874	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.117	0.883	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.101	0.899	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.093	0.907	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.092	0.907	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.088	0.912	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.085	0.915	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.079	0.921	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.078	0.922	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.075	0.925	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.071	0.929	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.068	0.932	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.062	0.937	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.052	0.948	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.048	0.952	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.048	0.952	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.042	0.957	0.001
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.038	0.961	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.037	0.963	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.036	0.964	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.033	0.966	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.031	0.969	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.030	0.970	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.026	0.974	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.026	0.974	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.024	0.975	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.024	0.975	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.024	0.976	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.023	0.977	0.000
rs11045818 lBF = `-0.00183546` Chr`12` : `21,329,761`	0.000	0.978	0.022
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.021	0.979	0.000
rs76904798 lBF = `0.123963` Chr`12` : `40,614,434`	0.020	0.979	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.020	0.980	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.019	0.980	0.001
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.981	0.019
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.018	0.982	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.018	0.982	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.017	0.983	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.017	0.983	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.017	0.983	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.017	0.983	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.017	0.983	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.017	0.983	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.016	0.983	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.016	0.984	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.015	0.985	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.014	0.986	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.014	0.986	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.013	0.987	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.013	0.987	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.988	0.012
rs871392 lBF = `0.133655` Chr`12` : `42,171,982`	0.012	0.988	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.011	0.988	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.012	0.988	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.011	0.989	0.000
rs12829704 lBF = `-0.0659069` Chr`12` : `21,388,621`	0.000	0.989	0.011
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.010	0.989	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.010	0.990	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.009	0.991	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.009	0.991	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.008	0.991	0.001
rs878962 lBF = `-0.0404792` Chr`12` : `3,287,279`	0.008	0.992	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.008	0.992	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.008	0.992	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.008	0.992	0.000
rs1511589 lBF = `0.272335` Chr`12` : `84,061,431`	0.007	0.993	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.007	0.993	0.000
rs10773568 lBF = `-0.12648` Chr`12` : `129,186,190`	0.006	0.994	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.006	0.994	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.006	0.994	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.005	0.995	0.000
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.000	0.995	0.005
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.995	0.005
rs555044 lBF = `-0.0586751` Chr`12` : `335,922`	0.005	0.995	0.000
rs258415 lBF = `1.25111` Chr`12` : `28,017,522`	0.000	0.995	0.005
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.004	0.995	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.004	0.995	0.000
rs7953528 lBF = `1.1414` Chr`12` : `28,017,159`	0.000	0.995	0.005
rs4762767 lBF = `-0.0466657` Chr`12` : `19,866,129`	0.004	0.996	0.000
rs1565122 lBF = `-0.039805` Chr`12` : `24,858,390`	0.000	0.996	0.004
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.004	0.996	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.004	0.996	0.000
rs7136572 lBF = `-0.00402774` Chr`12` : `95,959,788`	0.004	0.996	0.000
rs11610143 lBF = `-0.0601849` Chr`12` : `52,349,071`	0.000	0.996	0.004
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.004	0.996	0.000
rs2117032 lBF = `-0.0299892` Chr`12` : `21,074,122`	0.004	0.996	0.000
rs12826178 lBF = `0.0886157` Chr`12` : `57,622,371`	0.004	0.996	0.000
rs482507 lBF = `0.584303` Chr`12` : `83,979,286`	0.000	0.996	0.004
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.003	0.996	0.000
rs12318183 lBF = `2.85355` Chr`12` : `68,503,836`	0.004	0.996	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.003	0.996	0.000
rs7134472 lBF = `2.96646` Chr`12` : `68,499,986`	0.003	0.997	0.000
rs7134599 lBF = `2.96223` Chr`12` : `68,500,075`	0.003	0.997	0.000
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.003	0.997	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.997	0.003
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.003	0.997	0.000
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.003	0.997	0.000
rs703817 lBF = `5.55667` Chr`12` : `57,489,828`	0.003	0.997	0.000
rs6539267 lBF = `-0.0447861` Chr`12` : `106,785,554`	0.000	0.997	0.003
rs10772644 lBF = `-0.0392366` Chr`12` : `13,417,617`	0.000	0.997	0.003
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.003	0.997	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.003	0.997	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.003	0.997	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.003	0.997	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.003	0.997	0.000
rs1063857 lBF = `0.413169` Chr`12` : `6,153,514`	0.000	0.997	0.003
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.002	0.997	0.000
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.002	0.997	0.000
rs1063856 lBF = `0.400139` Chr`12` : `6,153,534`	0.000	0.997	0.003
rs16932667 lBF = `-0.0776762` Chr`12` : `5,131,553`	0.003	0.997	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.002	0.997	0.000
rs216026 lBF = `-0.0899744` Chr`12` : `2,749,127`	0.000	0.997	0.003
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.000	0.997	0.002
rs771998 lBF = `-0.0253253` Chr`12` : `52,358,195`	0.000	0.997	0.003
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.002	0.997	0.000
rs7972528 lBF = `0.0887222` Chr`12` : `84,131,036`	0.002	0.998	0.000
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.002	0.998	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.002	0.998	0.000
rs10878674 lBF = `-0.069588` Chr`12` : `68,231,241`	0.000	0.998	0.002
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.002	0.998	0.000
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.998	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.002	0.998	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.002	0.998	0.000
rs139660738 lBF = `0.00949875` Chr`12` : `95,185,188`	0.001	0.998	0.002
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.000	0.998	0.002
rs2641530 lBF = `-0.0176772` Chr`12` : `52,384,811`	0.002	0.998	0.000
rs4964469 lBF = `-0.0429482` Chr`12` : `106,949,987`	0.000	0.998	0.002
rs650466 lBF = `0.00802182` Chr`12` : `118,646,661`	0.002	0.998	0.000
rs11045879 lBF = `-0.054771` Chr`12` : `21,382,619`	0.002	0.998	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.002	0.998	0.001
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.002	0.998	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.002	0.998	0.000
rs4363657 lBF = `-0.0567254` Chr`12` : `21,368,722`	0.002	0.998	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.002	0.998	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.002	0.998	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.002	0.998	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.002	0.998	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.002	0.998	0.000
rs1558744 lBF = `1.25387` Chr`12` : `68,504,592`	0.002	0.998	0.000
rs192256367 lBF = `0.00111823` Chr`12` : `107,648,405`	0.002	0.998	0.000
rs4149081 lBF = `-0.0609822` Chr`12` : `21,378,021`	0.002	0.998	0.000
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
rs113681054 lBF = `-0.0236609` Chr`12` : `21,402,979`	0.002	0.998	0.000
rs4149018 lBF = `0.00161931` Chr`12` : `21,291,561`	0.001	0.998	0.000
rs1878022 lBF = `-0.0729913` Chr`12` : `108,699,032`	0.002	0.998	0.000
rs4149080 lBF = `-0.0588165` Chr`12` : `21,377,559`	0.002	0.998	0.000
rs10777332 lBF = `-0.074365` Chr`12` : `92,164,302`	0.002	0.998	0.000
rs10861032 lBF = `0.200739` Chr`12` : `103,912,506`	0.002	0.998	0.000
rs216013 lBF = `-0.0280808` Chr`12` : `2,729,632`	0.002	0.998	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.001	0.998	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.002	0.998	0.000
rs142054194 lBF = `0.0063675` Chr`12` : `86,864,240`	0.000	0.998	0.001
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.002	0.998	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.002	0.998	0.000
rs7956193 lBF = `0.00706709` Chr`12` : `113,491,784`	0.000	0.998	0.002
rs61921502 lBF = `-0.0624676` Chr`12` : `65,832,468`	0.002	0.998	0.000
rs1265565 lBF = `23.6926` Chr`12` : `111,715,197`	0.000	0.998	0.002
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.001	0.998	0.001
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.001	0.998	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.001	0.998	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.001	0.998	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.001	0.998	0.000
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.000	0.998	0.001
rs7964004 lBF = `-0.00274793` Chr`12` : `113,132,441`	0.002	0.998	0.000
rs7315621 lBF = `0.00150579` Chr`12` : `132,085,196`	0.002	0.998	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.001	0.998	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.001	0.999	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.001	0.999	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.001	0.999	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.001	0.999	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.001	0.999	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.000	0.999	0.001
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rs11054786 lBF = `-0.0551689` Chr`12` : `12,458,665`	0.000	0.999	0.001
rs3827886 lBF = `0.0140917` Chr`12` : `14,660,184`	0.000	0.999	0.001
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.000
rs11835432 lBF = `0.00267274` Chr`12` : `127,826,108`	0.000	0.999	0.001
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.000	0.999	0.000
rs9652020 lBF = `-0.0163675` Chr`12` : `40,547,379`	0.000	0.999	0.001
rs12422552 lBF = `-0.0614756` Chr`12` : `14,413,931`	0.000	0.999	0.001
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	0.999	0.001
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.000	0.999	0.001
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.001	0.999	0.000
rs7135659 lBF = `1.31293` Chr`12` : `114,801,772`	0.000	0.999	0.001
rs956451 lBF = `0.208532` Chr`12` : `2,684,702`	0.001	0.999	0.000
rs7965584 lBF = `0.0830301` Chr`12` : `90,305,779`	0.000	0.999	0.000
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.000	0.999	0.000
rs11176749 lBF = `-0.00845982` Chr`12` : `67,852,784`	0.001	0.999	0.000
rs6488099 lBF = `-0.0153924` Chr`12` : `33,035,483`	0.000	0.999	0.001
rs1368013 lBF = `-0.0671908` Chr`12` : `90,776,891`	0.001	0.999	0.000
rs1368011 lBF = `-0.0701074` Chr`12` : `90,788,141`	0.001	0.999	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.001	0.999	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.001	0.999	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.000	0.999	0.000
rs1265507 lBF = `0.0528145` Chr`12` : `114,868,138`	0.000	0.999	0.001
rs2417940 lBF = `-0.00967591` Chr`12` : `21,017,875`	0.000	0.999	0.000
rs17291650 lBF = `-0.0237825` Chr`12` : `51,213,433`	0.000	0.999	0.001
rs4319543 lBF = `-0.0292556` Chr`12` : `122,645,048`	0.000	0.999	0.001
rs4765913 lBF = `-0.0639315` Chr`12` : `2,419,896`	0.001	0.999	0.000
rs7976059 lBF = `-0.0919263` Chr`12` : `52,251,272`	0.000	0.999	0.001
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.000	0.999	0.000
rs11611208 lBF = `0.390606` Chr`12` : `20,758,613`	0.000	0.999	0.001
rs10880784 lBF = `0.0419605` Chr`12` : `45,843,490`	0.001	0.999	0.000
rs10861905 lBF = `-0.0137031` Chr`12` : `108,767,333`	0.000	0.999	0.000
rs12306296 lBF = `-0.0230885` Chr`12` : `127,248,385`	0.000	0.999	0.001
rs11829373 lBF = `-0.0236711` Chr`12` : `92,987,208`	0.000	0.999	0.000
rs2389217 lBF = `-0.0760532` Chr`12` : `33,680,803`	0.000	0.999	0.001
rs6581612 lBF = `0.0439212` Chr`12` : `65,534,624`	0.000	0.999	0.001
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.000	0.999	0.000
rs74377925 lBF = `0.0293844` Chr`12` : `16,699,250`	0.000	0.999	0.000
rs12321906 lBF = `-0.00389599` Chr`12` : `53,916,715`	0.000	0.999	0.000
rs4326884 lBF = `-0.108424` Chr`12` : `20,536,371`	0.000	0.999	0.001
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.000	0.999	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.000	0.999	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.000	0.999	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.000	0.999	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.000	0.999	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.000	0.999	0.000
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.000	0.999	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	0.999	0.000
rs16934812 lBF = `0.00666597` Chr`12` : `29,872,318`	0.000	0.999	0.000
rs1494508 lBF = `-0.0496594` Chr`12` : `65,842,258`	0.001	0.999	0.000
rs708886 lBF = `-0.0958841` Chr`12` : `119,958,702`	0.000	0.999	0.001
rs10846260 lBF = `-0.10493` Chr`12` : `16,124,142`	0.000	0.999	0.001
rs10506418 lBF = `0.0272495` Chr`12` : `61,488,772`	0.000	0.999	0.000
rs117578877 lBF = `0.0120121` Chr`12` : `13,681,478`	0.000	0.999	0.000
rs10773971 lBF = `-0.0157233` Chr`12` : `1,740,171`	0.000	0.999	0.000
rs4761053 lBF = `-0.0783304` Chr`12` : `128,506,201`	0.000	0.999	0.000
rs35785195 lBF = `-0.0834498` Chr`12` : `114,194,276`	0.000	0.999	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.000	1.000	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.000	1.000	0.000
rs7312625 lBF = `2.10204` Chr`12` : `114,799,974`	0.000	1.000	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.000	1.000	0.000
rs1895585 lBF = `1.05922` Chr`12` : `114,802,138`	0.000	1.000	0.000
rs7980799 lBF = `0.806158` Chr`12` : `33,576,990`	0.000	1.000	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.000	1.000	0.000
rs17466626 lBF = `0.0332799` Chr`12` : `40,760,631`	0.000	1.000	0.000
rs12831974 lBF = `-0.00204667` Chr`12` : `72,724,034`	0.000	1.000	0.000
rs11177669 lBF = `-0.00206854` Chr`12` : `69,828,681`	0.000	1.000	0.000
rs11055387 lBF = `-0.012726` Chr`12` : `13,519,996`	0.000	1.000	0.000
rs10744304 lBF = `-0.0351476` Chr`12` : `127,813,741`	0.000	1.000	0.000
rs4238010 lBF = `-0.0409649` Chr`12` : `4,118,317`	0.000	1.000	0.000
rs17178006 lBF = `-0.0443966` Chr`12` : `65,718,299`	0.000	1.000	0.000
rs7313402 lBF = `-0.0546356` Chr`12` : `108,602,970`	0.000	1.000	0.000
rs10772939 lBF = `-0.0755294` Chr`12` : `16,609,038`	0.000	1.000	0.000
rs483610 lBF = `-0.0894546` Chr`12` : `99,334,529`	0.000	1.000	0.000
rs2555009 lBF = `12.1266` Chr`12` : `114,666,099`	0.000	1.000	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.000	1.000	0.000
rs1169310 lBF = `9.92009` Chr`12` : `121,439,433`	0.000	1.000	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.000	1.000	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.000	1.000	0.000
rs3751196 lBF = `0.93961` Chr`12` : `104,157,502`	0.000	1.000	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs150695384 lBF = `0.0114384` Chr`12` : `64,917,042`	0.000	1.000	0.000
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.000	1.000	0.000
rs4622329 lBF = `-0.103813` Chr`12` : `102,321,935`	0.000	1.000	0.000
rs2286379 lBF = `-0.117748` Chr`12` : `1,902,164`	0.000	1.000	0.000
rs10860392 lBF = `0.0809777` Chr`12` : `99,498,187`	0.000	1.000	0.000
rs11564258 lBF = `0.0464349` Chr`12` : `40,792,300`	0.000	1.000	0.000
rs3782455 lBF = `0.0156366` Chr`12` : `114,359,265`	0.000	1.000	0.000
rs11610873 lBF = `-0.0107365` Chr`12` : `106,955,544`	0.000	1.000	0.000
rs10771515 lBF = `-0.019467` Chr`12` : `9,463,806`	0.000	1.000	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	0.000	1.000	0.000
rs3847794 lBF = `-0.0776265` Chr`12` : `94,528,825`	0.000	1.000	0.000
rs735396 lBF = `11.5976` Chr`12` : `121,438,844`	0.000	1.000	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.000	1.000	0.000
rs883079 lBF = `3.07368` Chr`12` : `114,793,240`	0.000	1.000	0.000
rs7953704 lBF = `0.18119` Chr`12` : `122,625,992`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.5580

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3446

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9843

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9778

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.9739

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9717

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9712

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9667

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9657

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9643

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9307

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9305

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8748

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8614

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8614

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8564

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8501

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8172

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8148

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8087

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7471

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7048

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6579

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6366

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6355

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6311

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6205

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6086

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5963

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5890

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5641

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5507

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5098

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5077

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4571

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4502

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4131

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4122

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3788

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3521

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3487

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3459

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3439

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3356

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3306

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3167

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3074

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2882

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2513

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2444

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1870

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1854

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1800

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1731

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1443

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1238

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1222

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1184

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1110

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0935

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0799

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0755

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0693

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0683

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0551

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`)