TreeWAS – [R00] Abnormalities of heart beat

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R00

Abnormalities of heart beat

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R00.0 Tachycardia, unspecified R00.1 Bradycardia, unspecified R00.2 Palpitations R00.8 Other and unspecified abnormalities of heart beat

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Variant effects

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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
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.993	0.007	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.943	0.057	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.934	0.066	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.929	0.071	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.929	0.071	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.925	0.075	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.890	0.110	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.877	0.123	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.862	0.138	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.804	0.196	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.773	0.227	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.749	0.251	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.704	0.296	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.697	0.303	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.691	0.309	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.675	0.325	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.669	0.331	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.642	0.358	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.638	0.362	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.629	0.371	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.608	0.392	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.606	0.394	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.563	0.437	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.556	0.444	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.547	0.453	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.542	0.457	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.541	0.459	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.514	0.486	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.505	0.495	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.497	0.503	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.493	0.507	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.472	0.528	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.460	0.540	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.456	0.544	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.449	0.551	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.422	0.578	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.420	0.580	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.390	0.610	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.336	0.664	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.321	0.679	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.311	0.689	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.311	0.689	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.289	0.711	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.278	0.722	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.262	0.738	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.232	0.768	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.227	0.773	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.217	0.783	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.215	0.785	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.213	0.787	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.208	0.792	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.198	0.802	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.190	0.810	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.188	0.811	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.183	0.817	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.180	0.820	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.178	0.822	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.167	0.833	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.164	0.836	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.137	0.863	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.135	0.865	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.123	0.877	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.122	0.878	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.121	0.879	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.121	0.879	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.111	0.889	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.099	0.901	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.081	0.919	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.077	0.923	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.075	0.925	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.071	0.929	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.066	0.934	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.060	0.940	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.060	0.940	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.059	0.941	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.057	0.943	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.057	0.943	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.055	0.945	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.051	0.949	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.051	0.949	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.049	0.951	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.048	0.952	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.044	0.956	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.043	0.957	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.039	0.961	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.038	0.962	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.037	0.962	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.033	0.967	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.031	0.969	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.031	0.969	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.030	0.970	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.029	0.971	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.029	0.971	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.029	0.971	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.026	0.974	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.022	0.978	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.019	0.981	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.019	0.981	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.018	0.981	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.016	0.983	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.016	0.984	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.015	0.985	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.014	0.986	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.013	0.987	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.011	0.989	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.011	0.989	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.011	0.989	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.011	0.989	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.011	0.989	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.010	0.989	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.010	0.990	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.009	0.991	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.009	0.991	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.008	0.992	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.008	0.992	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.008	0.992	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.008	0.992	0.000
rs1342899 lBF = `-0.0953982` Chr`9` : `105,735,195`	0.008	0.992	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.007	0.993	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.007	0.993	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.006	0.994	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.006	0.994	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.005	0.995	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.005	0.995	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.005	0.995	0.000
rs523340 lBF = `-0.046508` Chr`9` : `111,854,246`	0.005	0.995	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.004	0.995	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.004	0.996	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.004	0.996	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.004	0.996	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.004	0.996	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.004	0.996	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.004	0.996	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.003	0.996	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.003	0.997	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.003	0.997	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.003	0.997	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.997	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.003	0.997	0.000
rs75824829 lBF = `-0.0146663` Chr`9` : `138,268,602`	0.002	0.998	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.002	0.998	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.002	0.998	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.002	0.998	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.002	0.998	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.002	0.998	0.000
rs16910061 lBF = `0.067114` Chr`9` : `97,314,741`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.000	0.998	0.002
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.002	0.998	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.002	0.998	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.002	0.998	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.002	0.998	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	0.998	0.002
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.002	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.001	0.998	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.000	0.998	0.001
rs2930713 lBF = `-0.0916812` Chr`9` : `7,649,442`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	0.999	0.001
rs564816 lBF = `0.00012888` Chr`9` : `4,015,370`	0.001	0.999	0.000
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs186132788 lBF = `0.00025167` Chr`9` : `79,082,712`	0.000	0.999	0.001
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs138549889 lBF = `0.00003907` Chr`9` : `30,928,039`	0.001	0.999	0.000
rs149406381 lBF = `0.00003907` Chr`9` : `30,915,159`	0.001	0.999	0.000
rs147368481 lBF = `0.00003907` Chr`9` : `30,912,421`	0.001	0.999	0.000
rs145444918 lBF = `0.00003907` Chr`9` : `30,934,829`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
rs74838144 lBF = `0.0000136` Chr`9` : `30,971,369`	0.001	0.999	0.000
rs151321188 lBF = `0.0000136` Chr`9` : `30,957,905`	0.001	0.999	0.000
rs75214736 lBF = `0.0000136` Chr`9` : `30,953,851`	0.001	0.999	0.000
rs184676284 lBF = `0.0000136` Chr`9` : `30,972,355`	0.001	0.999	0.000
rs151101851 lBF = `0.0000136` Chr`9` : `30,955,024`	0.001	0.999	0.000
rs184557780 lBF = `0.0000136` Chr`9` : `30,953,076`	0.001	0.999	0.000
rs141510725 lBF = `0.0000136` Chr`9` : `30,973,107`	0.001	0.999	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.001	0.999	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.001	0.999	0.000
rs12338076 lBF = `0.00017178` Chr`9` : `139,121,740`	0.001	0.999	0.000
rs10125337 lBF = `0.00010193` Chr`9` : `97,444,038`	0.001	0.999	0.000
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rs8176693 lBF = `14.3653` Chr`9` : `136,137,657`	0.000	1.000	0.000
rs8176743 lBF = `14.2128` Chr`9` : `136,131,415`	0.000	1.000	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.000	1.000	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.000	1.000	0.000
rs1536895 lBF = `0.41227` Chr`9` : `106,793,726`	0.000	1.000	0.000
rs1110183 lBF = `0.287755` Chr`9` : `38,456,365`	0.000	1.000	0.000
rs10970305 lBF = `0.245937` Chr`9` : `31,372,583`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs7044529 lBF = `0.134957` Chr`9` : `137,568,051`	0.000	1.000	0.000
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.000	1.000	0.000
rs10968457 lBF = `0.0650331` Chr`9` : `2,838,470`	0.000	1.000	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.000	1.000	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	1.000	0.000
rs13300284 lBF = `0.0100083` Chr`9` : `25,452,812`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs10820447 lBF = `-0.0138771` Chr`9` : `99,132,044`	0.000	1.000	0.000
rs13300483 lBF = `-0.0304824` Chr`9` : `117,643,362`	0.000	1.000	0.000
rs872256 lBF = `-0.0466685` Chr`9` : `2,496,480`	0.000	1.000	0.000
rs16914931 lBF = `-0.0654028` Chr`9` : `101,092,316`	0.000	1.000	0.000
rs12553324 lBF = `-0.0713288` Chr`9` : `23,347,865`	0.000	1.000	0.000
rs13294439 lBF = `-0.0740927` Chr`9` : `23,358,875`	0.000	1.000	0.000
rs1319535 lBF = `-0.076085` Chr`9` : `28,181,085`	0.000	1.000	0.000
rs930811 lBF = `-0.0880331` Chr`9` : `2,696,555`	0.000	1.000	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.000	1.000	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.000	1.000	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.000	1.000	0.000
rs907581 lBF = `41.3431` Chr`9` : `100,622,189`	0.000	1.000	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.000	1.000	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.000	1.000	0.000
rs7853989 lBF = `7.17616` Chr`9` : `136,131,592`	0.000	1.000	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.000	1.000	0.000
rs8176722 lBF = `5.85039` Chr`9` : `136,132,754`	0.000	1.000	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.000	1.000	0.000
rs12341542 lBF = `5.44813` Chr`9` : `16,788,253`	0.000	1.000	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.000	1.000	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.000	1.000	0.000
rs4149268 lBF = `0.215556` Chr`9` : `107,647,220`	0.000	1.000	0.000
rs11141597 lBF = `0.16767` Chr`9` : `89,527,458`	0.000	1.000	0.000
rs10435736 lBF = `0.156121` Chr`9` : `31,419,915`	0.000	1.000	0.000
rs36206051 lBF = `0.102509` Chr`9` : `90,207,626`	0.000	1.000	0.000
rs4740619 lBF = `0.0820764` Chr`9` : `15,634,326`	0.000	1.000	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	1.000	0.000
rs10818606 lBF = `0.0263398` Chr`9` : `124,618,386`	0.000	1.000	0.000
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.000	1.000	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	1.000	0.000
rs10993160 lBF = `-0.0135773` Chr`9` : `97,068,926`	0.000	1.000	0.000
rs7041168 lBF = `-0.0445623` Chr`9` : `110,698,716`	0.000	1.000	0.000
rs7868992 lBF = `-0.0552473` Chr`9` : `116,991,071`	0.000	1.000	0.000
rs11791652 lBF = `-0.0956194` Chr`9` : `91,602,796`	0.000	1.000	0.000
rs10124907 lBF = `-0.0997393` Chr`9` : `25,659,637`	0.000	1.000	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.000	1.000	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	1.000	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.000	1.000	0.000
rs643531 lBF = `11.8826` Chr`9` : `15,296,034`	0.000	1.000	0.000
rs739447 lBF = `6.23807` Chr`9` : `136,477,511`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.000	1.000	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.000	1.000	0.000
rs2286885 lBF = `0.838942` Chr`9` : `129,246,487`	0.000	1.000	0.000
rs4246905 lBF = `0.724323` Chr`9` : `117,553,249`	0.000	1.000	0.000
rs7020553 lBF = `0.241302` Chr`9` : `76,710,284`	0.000	1.000	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	1.000	0.000
rs7047415 lBF = `0.121204` Chr`9` : `98,541,232`	0.000	1.000	0.000
rs35061590 lBF = `0.116328` Chr`9` : `124,476,013`	0.000	1.000	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	1.000	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	1.000	0.000
rs10760706 lBF = `0.0406026` Chr`9` : `102,723,692`	0.000	1.000	0.000
rs8190569 lBF = `0.0301256` Chr`9` : `98,998,061`	0.000	1.000	0.000
rs1998584 lBF = `0.0267225` Chr`9` : `13,704,539`	0.000	1.000	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	1.000	0.000
rs10969106 lBF = `0.00960723` Chr`9` : `29,364,327`	0.000	1.000	0.000
rs4468007 lBF = `-0.00940882` Chr`9` : `124,594,339`	0.000	1.000	0.000
rs767770 lBF = `-0.0116695` Chr`9` : `124,098,535`	0.000	1.000	0.000
rs601162 lBF = `-0.026721` Chr`9` : `29,632,142`	0.000	1.000	0.000
rs6478241 lBF = `-0.0274689` Chr`9` : `119,252,629`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs7871764 lBF = `-0.050678` Chr`9` : `34,071,541`	0.000	1.000	0.000
rs7849530 lBF = `-0.0530194` Chr`9` : `94,927,735`	0.000	1.000	0.000
rs7043199 lBF = `-0.0549636` Chr`9` : `2,621,145`	0.000	1.000	0.000
rs12554707 lBF = `-0.0688935` Chr`9` : `22,842,202`	0.000	1.000	0.000
rs2209875 lBF = `-0.0741284` Chr`9` : `91,813,461`	0.000	1.000	0.000
rs4977844 lBF = `-0.0972981` Chr`9` : `23,295,899`	0.000	1.000	0.000
rs7043095 lBF = `-0.0974076` Chr`9` : `91,604,005`	0.000	1.000	0.000
rs664461 lBF = `-0.104544` Chr`9` : `27,152,308`	0.000	1.000	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.000	1.000	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.000	1.000	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.000	1.000	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	1.000	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.000	1.000	0.000
rs7045138 lBF = `50.4679` Chr`9` : `100,591,463`	0.000	1.000	0.000
rs7037324 lBF = `41.2459` Chr`9` : `100,658,318`	0.000	1.000	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.000	1.000	0.000
rs36051895 lBF = `13.7128` Chr`9` : `4,981,866`	0.000	1.000	0.000
rs540885 lBF = `12.7552` Chr`9` : `15,294,596`	0.000	1.000	0.000
rs76962799 lBF = `11.1339` Chr`9` : `6,187,132`	0.000	1.000	0.000
rs1887428 lBF = `11.0147` Chr`9` : `4,984,530`	0.000	1.000	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.000	1.000	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.000	1.000	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	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

0.7836

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9993

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9978

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9976

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9973

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9967

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9965

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9944

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9928

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9664

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9643

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9620

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9543

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9539

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9461

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9192

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9070

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8940

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8852

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8826

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8596

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8576

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7967

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7304

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6889

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6744

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6466

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6284

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5869

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5280

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5024

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5021

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4928

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4848

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4223

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4115

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4050

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3925

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3590

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3518

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3190

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2499

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2493

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2268

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2257

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2210

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2203

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2135

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1461

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1254

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1232

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1130

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0968

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0962

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0903

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0894

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0769

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0651

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0632

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0626

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.0620

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0600

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0598

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)

Hospitalization Episode Statistics (`HES`)