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
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.876	0.124	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.748	0.252	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.735	0.265	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.730	0.270	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.730	0.270	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.698	0.302	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.690	0.310	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.664	0.336	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.660	0.340	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.648	0.352	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.636	0.364	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.629	0.371	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.617	0.383	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.612	0.388	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.611	0.389	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.609	0.391	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.609	0.391	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.605	0.395	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.600	0.400	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.598	0.402	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.591	0.409	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.587	0.412	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.580	0.420	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.578	0.422	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.546	0.454	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.543	0.457	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.542	0.458	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.522	0.477	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.497	0.503	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.483	0.517	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.481	0.519	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.466	0.534	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.464	0.536	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.464	0.536	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.464	0.536	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.462	0.538	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.454	0.546	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.452	0.547	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.446	0.554	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.443	0.557	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.441	0.559	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.411	0.588	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.397	0.602	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.396	0.604	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.385	0.615	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.384	0.616	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.383	0.617	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.380	0.620	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.379	0.621	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.356	0.644	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.350	0.649	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.344	0.656	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.343	0.657	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.332	0.668	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.315	0.685	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.296	0.704	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.272	0.728	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.271	0.728	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.265	0.735	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.257	0.743	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.746	0.254
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.250	0.750	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.239	0.761	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.229	0.771	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.227	0.772	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.223	0.777	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.218	0.782	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.208	0.791	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.208	0.792	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.202	0.797	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.197	0.802	0.001
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.189	0.811	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.189	0.811	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.180	0.820	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.178	0.822	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.177	0.822	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.174	0.826	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.166	0.834	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.148	0.851	0.001
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.141	0.858	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.138	0.862	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.137	0.863	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.136	0.863	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.132	0.868	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.125	0.875	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.119	0.881	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.108	0.891	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.096	0.904	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.095	0.904	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.088	0.912	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.918	0.082
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.073	0.926	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.073	0.927	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.069	0.931	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.066	0.933	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.065	0.934	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.063	0.937	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.062	0.938	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.059	0.938	0.002
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.061	0.939	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.055	0.945	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.055	0.945	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.053	0.947	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.052	0.947	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.050	0.950	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.047	0.952	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.046	0.954	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.045	0.955	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.042	0.958	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.040	0.960	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.039	0.961	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.037	0.963	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.037	0.963	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.037	0.963	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.035	0.965	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.033	0.967	0.001
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.033	0.967	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.004	0.968	0.028
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.030	0.970	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.029	0.971	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.028	0.972	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.027	0.972	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.025	0.974	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.024	0.976	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.024	0.976	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.023	0.977	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.022	0.977	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.022	0.978	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.021	0.978	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.021	0.979	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.020	0.980	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.020	0.980	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.019	0.981	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.018	0.982	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.018	0.982	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.017	0.983	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.017	0.983	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.016	0.983	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.016	0.984	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.016	0.984	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.016	0.984	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.015	0.985	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.014	0.985	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.014	0.986	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.013	0.987	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.012	0.988	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.010	0.989	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.010	0.990	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.010	0.990	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.010	0.990	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.010	0.990	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.009	0.991	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.009	0.991	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.991	0.009
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.009	0.991	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.008	0.991	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.008	0.992	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.008	0.992	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.008	0.992	0.000
rs10995092 lBF = `-0.040397` Chr`10` : `64,001,700`	0.007	0.992	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.007	0.993	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.007	0.993	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.005	0.993	0.001
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.006	0.994	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.006	0.994	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.006	0.994	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.006	0.994	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.005	0.995	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.005	0.995	0.000
rs114936111 lBF = `-0.0169099` Chr`10` : `79,430,143`	0.005	0.995	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.004	0.995	0.000
rs10905651 lBF = `-0.0712319` Chr`10` : `10,073,544`	0.004	0.996	0.000
rs1710278 lBF = `-0.0590503` Chr`10` : `127,738,918`	0.004	0.996	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.004	0.996	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.004	0.996	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.996	0.003
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.003	0.996	0.000
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.003	0.997	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.003	0.997	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.003	0.997	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.003	0.997	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.003	0.997	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.003	0.997	0.000
rs58616815 lBF = `-0.0619641` Chr`10` : `92,152,200`	0.000	0.997	0.003
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.003	0.997	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.003	0.997	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.003	0.997	0.000
rs10826334 lBF = `-0.0192554` Chr`10` : `61,380,482`	0.000	0.997	0.003
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.002	0.997	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.002	0.998	0.000
rs72791417 lBF = `0.903921` Chr`10` : `67,743,654`	0.000	0.998	0.002
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.002	0.998	0.000
rs7914606 lBF = `-0.0169026` Chr`10` : `85,105,609`	0.000	0.998	0.002
rs7894051 lBF = `0.137164` Chr`10` : `135,184,421`	0.000	0.998	0.002
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.002	0.998	0.000
rs17143387 lBF = `-0.0350594` Chr`10` : `8,314,044`	0.000	0.998	0.002
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rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	1.000	0.000
rs12220777 lBF = `-0.0108914` Chr`10` : `81,788,104`	0.000	1.000	0.000
rs12570947 lBF = `-0.0138211` Chr`10` : `109,569,850`	0.000	1.000	0.000
rs2250149 lBF = `-0.0455047` Chr`10` : `91,963,463`	0.000	1.000	0.000
rs1970525 lBF = `-0.0556589` Chr`10` : `87,634,924`	0.000	1.000	0.000
rs10509373 lBF = `-0.110846` Chr`10` : `78,157,572`	0.000	1.000	0.000
rs2096176 lBF = `-0.134465` Chr`10` : `26,433,366`	0.000	1.000	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.000	1.000	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.000	1.000	0.000
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.000	1.000	0.000
rs12219125 lBF = `-0.00681588` Chr`10` : `20,593,087`	0.000	1.000	0.000
rs2250245 lBF = `-0.0415643` Chr`10` : `91,962,670`	0.000	1.000	0.000
rs2263638 lBF = `-0.0895261` Chr`10` : `94,168,797`	0.000	1.000	0.000
rs11256061 lBF = `10.9003` Chr`10` : `9,140,808`	0.000	1.000	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.000	1.000	0.000
rs2814021 lBF = `3.26609` Chr`10` : `63,361,987`	0.000	1.000	0.000
rs2489715 lBF = `2.43101` Chr`10` : `42,917,476`	0.000	1.000	0.000
rs7075426 lBF = `0.0775847` Chr`10` : `88,216,402`	0.000	1.000	0.000
rs11006002 lBF = `0.0369676` Chr`10` : `59,758,643`	0.000	1.000	0.000
rs11017328 lBF = `0.010184` Chr`10` : `132,347,100`	0.000	1.000	0.000
rs10508372 lBF = `-0.0267531` Chr`10` : `8,972,018`	0.000	1.000	0.000
rs10491003 lBF = `-0.0366848` Chr`10` : `9,328,651`	0.000	1.000	0.000
rs2801405 lBF = `-0.0559092` Chr`10` : `100,583,915`	0.000	1.000	0.000
rs73344830 lBF = `-0.0875975` Chr`10` : `103,816,828`	0.000	1.000	0.000
rs1926203 lBF = `-0.103371` Chr`10` : `90,727,334`	0.000	1.000	0.000
rs7924176 lBF = `-0.103559` Chr`10` : `76,295,789`	0.000	1.000	0.000
rs78707713 lBF = `23.3075` Chr`10` : `71,245,276`	0.000	1.000	0.000
rs17490626 lBF = `22.8781` Chr`10` : `71,218,646`	0.000	1.000	0.000
rs1004467 lBF = `7.82232` Chr`10` : `104,594,507`	0.000	1.000	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.000	1.000	0.000
rs2501677 lBF = `0.526835` Chr`10` : `6,946,752`	0.000	1.000	0.000
rs1927457 lBF = `0.312018` Chr`10` : `30,008,663`	0.000	1.000	0.000
rs941873 lBF = `0.181665` Chr`10` : `81,139,462`	0.000	1.000	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	1.000	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	1.000	0.000
rs7899719 lBF = `-0.0116649` Chr`10` : `77,448,435`	0.000	1.000	0.000
rs11818084 lBF = `-0.0333965` Chr`10` : `125,986,898`	0.000	1.000	0.000
rs809367 lBF = `-0.0512793` Chr`10` : `89,741,806`	0.000	1.000	0.000
rs2395528 lBF = `-0.0620457` Chr`10` : `80,100,861`	0.000	1.000	0.000
rs732998 lBF = `14.6898` Chr`10` : `104,897,901`	0.000	1.000	0.000
rs3824755 lBF = `7.9222` Chr`10` : `104,595,849`	0.000	1.000	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.000	1.000	0.000
rs1916521 lBF = `0.00542291` Chr`10` : `57,416,961`	0.000	1.000	0.000
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.000	1.000	0.000
rs7912580 lBF = `-0.00031847` Chr`10` : `63,915,972`	0.000	1.000	0.000
rs6479874 lBF = `-0.00271752` Chr`10` : `52,789,355`	0.000	1.000	0.000
rs12220898 lBF = `-0.00475603` Chr`10` : `50,576,633`	0.000	1.000	0.000
rs7905537 lBF = `-0.0378208` Chr`10` : `34,231,275`	0.000	1.000	0.000
rs2799573 lBF = `-0.0418406` Chr`10` : `18,601,928`	0.000	1.000	0.000
rs11196174 lBF = `38.4124` Chr`10` : `114,734,096`	0.000	1.000	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.000	1.000	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.000	1.000	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	1.000	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	1.000	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.000	1.000	0.000
rs115536975 lBF = `0.316714` Chr`10` : `128,771,834`	0.000	1.000	0.000
rs4332428 lBF = `0.206544` Chr`10` : `4,965,434`	0.000	1.000	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.000	1.000	0.000
rs12257178 lBF = `0.127623` Chr`10` : `113,016,228`	0.000	1.000	0.000
rs11006280 lBF = `0.0951945` Chr`10` : `60,615,095`	0.000	1.000	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.000	1.000	0.000
rs4387258 lBF = `0.0101686` Chr`10` : `29,487,365`	0.000	1.000	0.000
rs11196288 lBF = `0.0100297` Chr`10` : `115,057,443`	0.000	1.000	0.000
rs10822136 lBF = `0.00522211` Chr`10` : `64,872,411`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs7902091 lBF = `-0.00084168` Chr`10` : `68,598,292`	0.000	1.000	0.000
rs821931 lBF = `-0.00432247` Chr`10` : `108,437,639`	0.000	1.000	0.000
rs2219937 lBF = `-0.00490385` Chr`10` : `84,419,410`	0.000	1.000	0.000
rs58180147 lBF = `-0.0109599` Chr`10` : `69,943,634`	0.000	1.000	0.000
rs1571942 lBF = `-0.0246236` Chr`10` : `20,542,634`	0.000	1.000	0.000
rs1676712 lBF = `-0.0344275` Chr`10` : `127,836,840`	0.000	1.000	0.000
rs12413409 lBF = `12.3734` Chr`10` : `104,719,096`	0.000	1.000	0.000
rs11191416 lBF = `8.43111` Chr`10` : `104,604,916`	0.000	1.000	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.000	1.000	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.000	1.000	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	1.000	0.000
rs12722515 lBF = `2.79144` Chr`10` : `6,081,230`	0.000	1.000	0.000
rs8177757 lBF = `0.44589` Chr`10` : `6,027,721`	0.000	1.000	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.000	1.000	0.000
rs3905706 lBF = `0.216149` Chr`10` : `28,479,942`	0.000	1.000	0.000
rs11255400 lBF = `0.097559` Chr`10` : `7,887,621`	0.000	1.000	0.000
rs35766269 lBF = `0.0588944` Chr`10` : `9,023,815`	0.000	1.000	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	1.000	0.000
rs10994613 lBF = `0.0125815` Chr`10` : `62,780,127`	0.000	1.000	0.000
rs1278352 lBF = `0.00359846` Chr`10` : `127,773,376`	0.000	1.000	0.000
rs17600642 lBF = `0.00311335` Chr`10` : `72,462,994`	0.000	1.000	0.000
rs12218439 lBF = `0.00095102` Chr`10` : `70,490,106`	0.000	1.000	0.000
rs117792039 lBF = `0.00043349` Chr`10` : `106,810,615`	0.000	1.000	0.000
rs10128443 lBF = `-0.00546785` Chr`10` : `59,422,427`	0.000	1.000	0.000
rs12762955 lBF = `-0.019296` Chr`10` : `1,078,782`	0.000	1.000	0.000
rs2986971 lBF = `-0.0379777` Chr`10` : `30,096,628`	0.000	1.000	0.000
rs11101442 lBF = `-0.0478949` Chr`10` : `49,936,336`	0.000	1.000	0.000
rs2145998 lBF = `-0.0504169` Chr`10` : `81,121,696`	0.000	1.000	0.000
rs12243326 lBF = `126.039` Chr`10` : `114,788,815`	0.000	1.000	0.000
rs1444782 lBF = `31.2722` Chr`10` : `9,058,671`	0.000	1.000	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.000	1.000	0.000
rs705162 lBF = `3.13668` Chr`10` : `125,251,675`	0.000	1.000	0.000
rs12722495 lBF = `2.89266` Chr`10` : `6,097,283`	0.000	1.000	0.000
rs61839660 lBF = `2.01175` Chr`10` : `6,094,697`	0.000	1.000	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	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`)