TreeWAS – [R01] Cardiac murmurs and other cardiac sounds

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R01

Cardiac murmurs and other cardiac sounds

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R01.0 Benign and innocent cardiac murmurs R01.1 Cardiac murmur, unspecified R01.2 Other cardiac sounds

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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
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.945	0.055	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.838	0.162	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.811	0.189	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.724	0.276	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.722	0.278	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.694	0.306	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.688	0.312	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.682	0.318	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.679	0.321	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.659	0.341	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.649	0.351	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.646	0.354	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.640	0.359	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.639	0.361	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.637	0.362	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.621	0.379	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.600	0.400	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.576	0.424	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.571	0.429	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.570	0.429	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.568	0.432	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.550	0.449	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.544	0.456	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.541	0.459	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.540	0.460	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.539	0.461	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.524	0.475	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.523	0.477	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.515	0.485	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.512	0.488	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.507	0.493	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.506	0.494	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.493	0.507	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.486	0.514	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.482	0.518	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.455	0.545	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.453	0.547	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.445	0.555	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.445	0.555	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.436	0.563	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.435	0.565	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.415	0.585	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.415	0.585	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.413	0.587	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.344	0.656	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.340	0.660	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.338	0.662	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.305	0.695	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.298	0.702	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.288	0.712	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.270	0.729	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.257	0.743	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.246	0.753	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.241	0.759	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.237	0.763	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.210	0.790	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.209	0.790	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.196	0.804	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.188	0.811	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.187	0.813	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.180	0.820	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.174	0.826	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.170	0.830	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.169	0.830	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.160	0.839	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.148	0.852	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.140	0.860	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.123	0.877	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.123	0.877	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.123	0.877	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.113	0.887	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.108	0.892	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.107	0.892	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.095	0.905	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.079	0.921	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.075	0.925	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.075	0.925	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.073	0.927	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.073	0.927	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.065	0.935	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.054	0.946	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.051	0.949	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.050	0.950	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.050	0.950	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.047	0.953	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.047	0.953	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.047	0.953	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.045	0.955	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.040	0.959	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.040	0.960	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.040	0.960	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.040	0.960	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.038	0.962	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.036	0.963	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.035	0.964	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.033	0.967	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.030	0.970	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.029	0.971	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.027	0.972	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.028	0.972	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.027	0.973	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.025	0.975	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.023	0.977	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.023	0.977	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.022	0.978	0.000
rs7020996 lBF = `17.892` Chr`9` : `22,129,579`	0.019	0.981	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.018	0.981	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.018	0.981	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.018	0.982	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.017	0.983	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.016	0.983	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.016	0.984	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.015	0.985	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.012	0.988	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.012	0.988	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.011	0.989	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.011	0.989	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.011	0.989	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.010	0.990	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.010	0.990	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.010	0.990	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.009	0.991	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.009	0.991	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.009	0.991	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	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
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.008	0.992	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.007	0.992	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.007	0.993	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.007	0.993	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.007	0.993	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.006	0.993	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.006	0.994	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.005	0.994	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.005	0.995	0.000
rs10965250 lBF = `27.0523` Chr`9` : `22,133,284`	0.004	0.996	0.000
rs11139497 lBF = `0.0139549` Chr`9` : `84,739,941`	0.000	0.996	0.004
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.004	0.996	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.004	0.996	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.004	0.996	0.000
rs4879677 lBF = `-0.0852877` Chr`9` : `27,664,432`	0.000	0.996	0.004
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.004	0.996	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.003	0.996	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.003	0.997	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.003	0.997	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.003	0.997	0.000
rs10811661 lBF = `27.8432` Chr`9` : `22,134,094`	0.003	0.997	0.000
rs7029201 lBF = `-0.0733152` Chr`9` : `23,358,081`	0.003	0.997	0.000
rs13294439 lBF = `-0.0740927` Chr`9` : `23,358,875`	0.003	0.997	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.003	0.997	0.000
rs12553324 lBF = `-0.0713288` Chr`9` : `23,347,865`	0.003	0.997	0.000
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.000	0.997	0.003
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.003	0.997	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.997	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.003	0.997	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.003	0.997	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.003	0.997	0.000
rs2383208 lBF = `28.0247` Chr`9` : `22,132,076`	0.002	0.998	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.002	0.998	0.000
rs16910061 lBF = `0.067114` Chr`9` : `97,314,741`	0.002	0.998	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.002	0.998	0.000
rs1333051 lBF = `15.4246` Chr`9` : `22,136,489`	0.002	0.998	0.000
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.000	0.998	0.002
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
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.002	0.998	0.000
rs10989692 lBF = `0.0578047` Chr`9` : `104,674,555`	0.002	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.998	0.000
rs4463516 lBF = `-0.0771065` Chr`9` : `32,867,481`	0.002	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.002	0.998	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.001	0.998	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	0.998	0.002
rs3118867 lBF = `0.578601` Chr`9` : `90,261,695`	0.000	0.998	0.002
rs2805062 lBF = `0.0124346` Chr`9` : `24,560,577`	0.000	0.999	0.001
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.001	0.999	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.001	0.999	0.000
rs1110183 lBF = `0.287755` Chr`9` : `38,456,365`	0.000	0.999	0.001
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
rs7048146 lBF = `-0.0795477` Chr`9` : `112,299,322`	0.000	0.999	0.001
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.001	0.999	0.000
rs10819861 lBF = `-0.0675875` Chr`9` : `98,867,813`	0.000	0.999	0.001
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.001	0.999	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	0.999	0.001
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.001	0.999	0.000
rs4836694 lBF = `0.0681041` Chr`9` : `132,939,792`	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
rs1360382 lBF = `-0.0298418` Chr`9` : `23,379,719`	0.001	0.999	0.000
rs4877691 lBF = `-0.0770265` Chr`9` : `84,982,398`	0.000	0.999	0.001
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.001	0.999	0.000
rs4149268 lBF = `0.215556` Chr`9` : `107,647,220`	0.001	0.999	0.000
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rs3747547 lBF = `-0.045658` Chr`9` : `37,916,408`	0.000	1.000	0.000
rs10759102 lBF = `-0.101463` Chr`9` : `9,910,123`	0.000	1.000	0.000
rs3124592 lBF = `0.57272` Chr`9` : `139,393,162`	0.000	1.000	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	1.000	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	1.000	0.000
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.000	1.000	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs58823963 lBF = `-0.0172655` Chr`9` : `9,550,389`	0.000	1.000	0.000
rs10965890 lBF = `-0.0240333` Chr`9` : `23,516,288`	0.000	1.000	0.000
rs140348140 lBF = `-0.0260903` Chr`9` : `5,877,295`	0.000	1.000	0.000
rs861189 lBF = `-0.0358512` Chr`9` : `22,185,252`	0.000	1.000	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.000	1.000	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.000	1.000	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.000	1.000	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.000	1.000	0.000
rs113290458 lBF = `0.0418686` Chr`9` : `128,456,000`	0.000	1.000	0.000
rs7027930 lBF = `0.02537` Chr`9` : `565,917`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs12554999 lBF = `0.00638703` Chr`9` : `82,042,491`	0.000	1.000	0.000
rs643410 lBF = `0.00153414` Chr`9` : `111,799,563`	0.000	1.000	0.000
rs11143230 lBF = `-0.0828837` Chr`9` : `74,887,703`	0.000	1.000	0.000
rs117134689 lBF = `7.85157` Chr`9` : `5,936,490`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs4741351 lBF = `0.0679959` Chr`9` : `14,222,782`	0.000	1.000	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000
rs4878497 lBF = `0.115916` Chr`9` : `32,432,974`	0.000	1.000	0.000
rs10988217 lBF = `0.101471` Chr`9` : `131,888,116`	0.000	1.000	0.000
rs1360517 lBF = `0.0789714` Chr`9` : `13,007,129`	0.000	1.000	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	1.000	0.000
rs113399772 lBF = `-0.037344` Chr`9` : `10,881,231`	0.000	1.000	0.000
rs10812227 lBF = `-0.0390951` Chr`9` : `2,548,556`	0.000	1.000	0.000
rs10818593 lBF = `-0.0430107` Chr`9` : `124,560,853`	0.000	1.000	0.000
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.000	1.000	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.000	1.000	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs7869190 lBF = `0.0175485` Chr`9` : `5,551,945`	0.000	1.000	0.000
rs767770 lBF = `-0.0116695` Chr`9` : `124,098,535`	0.000	1.000	0.000
rs10971721 lBF = `-0.0176776` Chr`9` : `33,827,694`	0.000	1.000	0.000
rs1970584 lBF = `-0.0359397` Chr`9` : `126,110,306`	0.000	1.000	0.000
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.000	1.000	0.000
rs7853844 lBF = `-0.0657441` Chr`9` : `118,050,414`	0.000	1.000	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	1.000	0.000
rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.000	1.000	0.000
rs2381413 lBF = `12.4574` Chr`9` : `6,167,017`	0.000	1.000	0.000
rs1887428 lBF = `11.0147` Chr`9` : `4,984,530`	0.000	1.000	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.000	1.000	0.000
rs11790131 lBF = `3.61426` Chr`9` : `19,469,846`	0.000	1.000	0.000
rs865686 lBF = `3.12841` Chr`9` : `110,888,478`	0.000	1.000	0.000
rs10758593 lBF = `0.504041` Chr`9` : `4,292,083`	0.000	1.000	0.000
rs11141597 lBF = `0.16767` Chr`9` : `89,527,458`	0.000	1.000	0.000
rs7856675 lBF = `0.0440273` Chr`9` : `4,555,305`	0.000	1.000	0.000
rs13290799 lBF = `0.0222806` Chr`9` : `29,545,875`	0.000	1.000	0.000
rs13300284 lBF = `0.0100083` Chr`9` : `25,452,812`	0.000	1.000	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs7851437 lBF = `-0.00994799` Chr`9` : `28,395,332`	0.000	1.000	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	1.000	0.000
rs1110403 lBF = `-0.0947293` Chr`9` : `110,383,583`	0.000	1.000	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.000	1.000	0.000
rs686030 lBF = `17.631` Chr`9` : `15,304,782`	0.000	1.000	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.000	1.000	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.000	1.000	0.000
rs2740488 lBF = `1.01699` Chr`9` : `107,661,742`	0.000	1.000	0.000
rs3750450 lBF = `0.467322` Chr`9` : `111,945,049`	0.000	1.000	0.000
rs7031325 lBF = `0.0899183` Chr`9` : `6,655,056`	0.000	1.000	0.000
rs13301469 lBF = `0.0342446` Chr`9` : `3,911,353`	0.000	1.000	0.000
rs7042950 lBF = `0.0188612` Chr`9` : `77,149,837`	0.000	1.000	0.000
rs2777777 lBF = `0.00854426` Chr`9` : `84,213,160`	0.000	1.000	0.000
rs2273720 lBF = `-0.00037112` Chr`9` : `27,209,469`	0.000	1.000	0.000
rs57994353 lBF = `-0.0119348` Chr`9` : `139,356,987`	0.000	1.000	0.000
rs10867921 lBF = `-0.0173266` Chr`9` : `85,609,781`	0.000	1.000	0.000
rs2270204 lBF = `-0.0466587` Chr`9` : `131,042,734`	0.000	1.000	0.000
rs4741343 lBF = `-0.0639454` Chr`9` : `14,075,095`	0.000	1.000	0.000
rs10812641 lBF = `-0.0903935` Chr`9` : `2,777,384`	0.000	1.000	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.000	1.000	0.000
rs3780381 lBF = `14.9163` Chr`9` : `5,114,523`	0.000	1.000	0.000
rs8176749 lBF = `14.8273` Chr`9` : `136,131,188`	0.000	1.000	0.000
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.000	1.000	0.000
rs643531 lBF = `11.8826` Chr`9` : `15,296,034`	0.000	1.000	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.000	1.000	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.000	1.000	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.000	1.000	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	1.000	0.000
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.000	1.000	0.000
rs10986018 lBF = `0.051836` Chr`9` : `101,123,336`	0.000	1.000	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	1.000	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	1.000	0.000
rs10969106 lBF = `0.00960723` Chr`9` : `29,364,327`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs16922670 lBF = `-0.0231292` Chr`9` : `106,024,220`	0.000	1.000	0.000
rs7871764 lBF = `-0.050678` Chr`9` : `34,071,541`	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

0.6676

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9994

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9876

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9853

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9841

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9794

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9792

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9724

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9687

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9661

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9643

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9624

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9566

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9385

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9254

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9177

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9004

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8991

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8971

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8883

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8755

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8694

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8656

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8428

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8293

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8292

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7963

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7916

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7722

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7691

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7531

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7465

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7452

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7347

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7272

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7192

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6916

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6656

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6156

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6072

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6068

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6041

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6020

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6017

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5980

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5931

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5770

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5559

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5507

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5434

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5321

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5304

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4886

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4596

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4521

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4459

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4456

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4403

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4397

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4011

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3711

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3535

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2943

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2756

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2570

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2539

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2478

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2431

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2374

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1889

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1830

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1806

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1745

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1647

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1388

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1332

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1266

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1263

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1119

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1059

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0923

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0910

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0779

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0611

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0551

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0541

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`)