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
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.997	0.003	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.991	0.009	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.989	0.011	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.983	0.017	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.975	0.025	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.956	0.044	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.954	0.046	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.954	0.046	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.948	0.052	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.946	0.054	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.946	0.054	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.940	0.060	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.932	0.068	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.924	0.076	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.917	0.083	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.913	0.087	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.912	0.088	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.910	0.090	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.899	0.101	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.890	0.110	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.882	0.118	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.882	0.118	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.868	0.132	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.863	0.137	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.842	0.158	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.802	0.198	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.801	0.199	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.801	0.199	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.799	0.201	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.798	0.202	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.796	0.204	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.795	0.205	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.781	0.219	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.755	0.245	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.754	0.246	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.736	0.264	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.733	0.267	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.719	0.281	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.714	0.286	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.702	0.298	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.701	0.299	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.696	0.304	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.689	0.311	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.688	0.312	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.687	0.313	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.684	0.316	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.682	0.318	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.682	0.318	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.679	0.321	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.678	0.322	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.677	0.323	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.677	0.323	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.670	0.330	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.668	0.332	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.665	0.335	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.663	0.337	0.000
rs2646928 lBF = `2.13965` Chr`6` : `37,454,827`	0.660	0.339	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.660	0.340	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.651	0.349	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.649	0.351	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.644	0.356	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.643	0.357	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.641	0.359	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.639	0.361	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.632	0.367	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.626	0.374	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.624	0.376	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.620	0.380	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.620	0.380	0.000
rs7758616 lBF = `0.763329` Chr`6` : `14,200,147`	0.590	0.410	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.579	0.421	0.000
rs16875249 lBF = `2.2287` Chr`6` : `14,582,444`	0.566	0.434	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.550	0.450	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.545	0.455	0.000
rs185914258 lBF = `1.39906` Chr`6` : `1,315,795`	0.525	0.475	0.000
rs186361153 lBF = `1.3404` Chr`6` : `24,992,362`	0.509	0.491	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.494	0.506	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.490	0.510	0.000
rs116886320 lBF = `0.822772` Chr`6` : `158,929,960`	0.488	0.512	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.479	0.520	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.477	0.523	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.473	0.527	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.473	0.527	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.468	0.532	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.460	0.540	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.453	0.547	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.445	0.555	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.444	0.556	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.443	0.557	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.438	0.562	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.430	0.570	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.429	0.571	0.001
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.429	0.571	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.424	0.576	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.423	0.577	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.416	0.584	0.000
rs17069122 lBF = `7.67561` Chr`6` : `108,323,759`	0.414	0.586	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.411	0.589	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.410	0.590	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.408	0.592	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.398	0.602	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.394	0.606	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.393	0.607	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.385	0.615	0.000
rs61613191 lBF = `1.61814` Chr`6` : `141,123,711`	0.383	0.617	0.000
rs147846168 lBF = `0.921734` Chr`6` : `1,340,742`	0.368	0.631	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.362	0.638	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.360	0.640	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.351	0.648	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.349	0.651	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.349	0.651	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.346	0.654	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.346	0.654	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.337	0.663	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.337	0.663	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.324	0.676	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.323	0.676	0.000
rs17087007 lBF = `3.23075` Chr`6` : `156,384,967`	0.312	0.688	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.307	0.693	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.306	0.694	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.303	0.697	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.299	0.701	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.294	0.706	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.286	0.714	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.281	0.719	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.279	0.721	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.278	0.722	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.277	0.723	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.277	0.723	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.275	0.725	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.275	0.725	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.273	0.727	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.270	0.730	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.263	0.737	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.256	0.744	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.254	0.746	0.000
rs9496398 lBF = `0.248197` Chr`6` : `142,822,217`	0.254	0.746	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.250	0.750	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.244	0.756	0.000
rs1383808 lBF = `0.71177` Chr`6` : `99,028,866`	0.000	0.759	0.241
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.241	0.759	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.236	0.764	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.235	0.765	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.230	0.770	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.225	0.775	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.222	0.778	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.221	0.779	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.220	0.780	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.217	0.783	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.214	0.786	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.212	0.787	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.212	0.788	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.205	0.795	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.202	0.798	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.193	0.807	0.000
rs9380254 lBF = `46.9536` Chr`6` : `31,378,335`	0.191	0.809	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.189	0.811	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.188	0.812	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.186	0.814	0.000
rs281868 lBF = `0.178772` Chr`6` : `118,574,061`	0.000	0.819	0.181
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.181	0.819	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.180	0.820	0.000
rs79014439 lBF = `0.647808` Chr`6` : `24,901,861`	0.178	0.822	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.176	0.823	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.175	0.825	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.173	0.827	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.172	0.828	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.170	0.830	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.160	0.840	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.158	0.842	0.000
rs89107 lBF = `0.192543` Chr`6` : `118,578,043`	0.000	0.842	0.158
rs116869525 lBF = `4.44373` Chr`6` : `32,389,143`	0.157	0.843	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.156	0.844	0.000
rs144339868 lBF = `0.485001` Chr`6` : `112,239,810`	0.154	0.846	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.146	0.854	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.142	0.858	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.141	0.859	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.138	0.862	0.000
rs75796365 lBF = `0.661072` Chr`6` : `143,362,753`	0.133	0.862	0.004
rs12528886 lBF = `2.11978` Chr`6` : `130,453,882`	0.137	0.863	0.000
rs9445732 lBF = `0.14677` Chr`6` : `67,248,410`	0.136	0.864	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.135	0.865	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.134	0.866	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.133	0.867	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.128	0.872	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.128	0.872	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.125	0.875	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.123	0.877	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.114	0.886	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.112	0.888	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.111	0.889	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.110	0.890	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.110	0.890	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.108	0.892	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.107	0.893	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.104	0.896	0.000
rs17086702 lBF = `3.80311` Chr`6` : `156,150,733`	0.097	0.902	0.001
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.094	0.905	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.094	0.906	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.092	0.908	0.000
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rs6939321 lBF = `0.0130059` Chr`6` : `90,299,210`	0.000	0.989	0.011
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.011	0.989	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.011	0.989	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.011	0.989	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.011	0.989	0.000
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.010	0.990	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.010	0.990	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.010	0.990	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.010	0.990	0.000
rs45565837 lBF = `23.5217` Chr`6` : `31,694,859`	0.010	0.990	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.010	0.990	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.010	0.990	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.009	0.990	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.009	0.991	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.009	0.991	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.009	0.991	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.009	0.991	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.009	0.991	0.000
Affx-28439912 lBF = `12.8855` Chr`6` : `31,012,994`	0.009	0.991	0.000
rs17881233 lBF = `16.4571` Chr`6` : `31,323,745`	0.009	0.991	0.000
rs3132453 lBF = `51.3708` Chr`6` : `31,604,044`	0.000	0.991	0.009
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.008	0.992	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.008	0.992	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.008	0.992	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.008	0.992	0.000
rs7764819 lBF = `111.178` Chr`6` : `32,680,576`	0.008	0.992	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.008	0.992	0.000
rs12201301 lBF = `13.8108` Chr`6` : `31,007,557`	0.008	0.992	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.008	0.992	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.008	0.992	0.000
rs2857600 lBF = `118.19` Chr`6` : `31,582,287`	0.000	0.992	0.008
rs116399318 lBF = `12.9172` Chr`6` : `31,078,664`	0.008	0.992	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.008	0.992	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.008	0.992	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.008	0.992	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.008	0.992	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.008	0.992	0.000
rs9460521 lBF = `0.00460581` Chr`6` : `20,567,541`	0.007	0.992	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.008	0.992	0.000
rs2524279 lBF = `47.995` Chr`6` : `31,392,906`	0.007	0.992	0.000
rs9345396 lBF = `0.146464` Chr`6` : `94,489,219`	0.007	0.992	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.007	0.993	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.007	0.993	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.007	0.993	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.007	0.993	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.007	0.993	0.000
rs7742587 lBF = `0.00638547` Chr`6` : `141,857,134`	0.007	0.993	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.993	0.007
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.007	0.993	0.000
rs2524280 lBF = `49.9065` Chr`6` : `31,416,990`	0.007	0.993	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.007	0.993	0.000
rs10499138 lBF = `0.00496521` Chr`6` : `128,492,182`	0.007	0.993	0.000
rs6930572 lBF = `17.9712` Chr`6` : `31,428,169`	0.007	0.993	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.007	0.993	0.000
rs3093668 lBF = `82.8967` Chr`6` : `31,546,495`	0.007	0.993	0.000
rs2596466 lBF = `50.0976` Chr`6` : `31,405,617`	0.006	0.994	0.000
rs12197587 lBF = `13.4674` Chr`6` : `31,005,774`	0.006	0.994	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.006	0.994	0.000
rs17212937 lBF = `111.386` Chr`6` : `32,681,339`	0.006	0.994	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.006	0.994	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.006	0.994	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.006	0.994	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.006	0.994	0.000
rs17207370 lBF = `31.3786` Chr`6` : `31,678,691`	0.006	0.994	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.005	0.994	0.000
rs6906287 lBF = `-0.0816155` Chr`6` : `118,962,740`	0.000	0.994	0.006
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.005	0.995	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.995	0.005
rs3132469 lBF = `98.3432` Chr`6` : `31,456,567`	0.000	0.995	0.005
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.005	0.995	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.005	0.995	0.000
rs2273017 lBF = `201.258` Chr`6` : `32,337,630`	0.000	0.995	0.005
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.005	0.995	0.000
rs6927322 lBF = `9.62507` Chr`6` : `31,088,981`	0.000	0.995	0.005
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	0.005	0.995	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.005	0.995	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	0.005	0.995	0.000
rs12210733 lBF = `1.25975` Chr`6` : `118,653,075`	0.005	0.995	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.005	0.995	0.000
rs2523684 lBF = `49.8794` Chr`6` : `31,426,399`	0.005	0.995	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.005	0.995	0.000
rs115277907 lBF = `44.632` Chr`6` : `31,901,090`	0.005	0.995	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.005	0.995	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.005	0.995	0.000
rs11752626 lBF = `-0.0801059` Chr`6` : `118,788,652`	0.000	0.995	0.005
rs4246076 lBF = `0.0107434` Chr`6` : `6,593,049`	0.005	0.995	0.000
rs114919178 lBF = `30.8375` Chr`6` : `31,613,571`	0.005	0.995	0.000
Affx-28507878 lBF = `12.4749` Chr`6` : `32,823,948`	0.000	0.995	0.005
rs185751587 lBF = `0.00392313` Chr`6` : `8,816,495`	0.004	0.995	0.000
rs11970286 lBF = `-0.0460321` Chr`6` : `118,680,374`	0.000	0.995	0.005
rs9461741 lBF = `0.79149` Chr`6` : `32,370,587`	0.004	0.996	0.000
rs10947233 lBF = `77.0081` Chr`6` : `32,124,424`	0.004	0.996	0.000
rs61018535 lBF = `0.991353` Chr`6` : `43,449,230`	0.004	0.996	0.000
rs1759645 lBF = `0.339759` Chr`6` : `34,194,866`	0.000	0.996	0.004
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.004	0.996	0.000
rs2070600 lBF = `84.8588` Chr`6` : `32,151,443`	0.004	0.996	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.004	0.996	0.000
rs12210810 lBF = `1.34975` Chr`6` : `118,653,204`	0.004	0.996	0.000
rs3130286 lBF = `98.4447` Chr`6` : `32,042,322`	0.000	0.996	0.004
rs2523710 lBF = `22.6621` Chr`6` : `31,450,909`	0.004	0.996	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`)