TreeWAS – [I36.1] Nonrheumatic tricuspid (valve) insufficiency

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.650	0.350	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.359	0.641
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.596	0.404	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.594	0.406	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.593	0.407	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.588	0.412	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.587	0.413	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.576	0.424	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	0.451	0.549
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.537	0.463	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.516	0.484	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.514	0.486	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.514	0.486	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.514	0.486	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.514	0.486	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.514	0.486	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.514	0.486	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.514	0.486	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.514	0.486	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.513	0.487	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.513	0.487	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.509	0.490	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.509	0.491	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.507	0.493	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.507	0.493	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.507	0.493	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.506	0.494	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.506	0.494	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.505	0.494	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.503	0.497	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.501	0.499	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.499	0.500	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.497	0.503	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.496	0.504	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.488	0.512	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.479	0.521	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.478	0.522	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.475	0.524	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.456	0.544	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.453	0.547	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.451	0.548	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.451	0.549	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.450	0.549	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.445	0.555	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.415	0.585	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.409	0.590	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.399	0.601	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.389	0.611	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.385	0.615	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.368	0.632	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.356	0.644	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.345	0.655	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.335	0.665	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.329	0.671	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.305	0.694	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.297	0.702	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.296	0.704	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.282	0.717	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.263	0.737	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.257	0.742	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.257	0.743	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.251	0.749	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.250	0.750	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.248	0.752	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.233	0.767	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.220	0.780	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.215	0.785	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.206	0.793	0.001
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.202	0.798	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.190	0.809	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.182	0.818	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.171	0.829	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.169	0.831	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.146	0.854	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.138	0.861	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.122	0.878	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.119	0.881	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.117	0.882	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.109	0.891	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.107	0.893	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.089	0.911	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.080	0.920	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.075	0.925	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.067	0.933	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.055	0.945	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.055	0.945	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.055	0.945	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.054	0.946	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.047	0.953	0.000
rs7230711 lBF = `1.57411` Chr`18` : `48,690,619`	0.047	0.953	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.046	0.954	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.043	0.957	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.039	0.961	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.036	0.963	0.000
rs9960150 lBF = `1.82464` Chr`18` : `48,008,440`	0.033	0.967	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.032	0.967	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.032	0.968	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.029	0.971	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.026	0.973	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.023	0.977	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.020	0.979	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.020	0.980	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.019	0.981	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.016	0.983	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.014	0.985	0.000
rs12957516 lBF = `-0.0462702` Chr`18` : `35,215,517`	0.013	0.987	0.000
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.012	0.988	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.010	0.990	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.009	0.990	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.008	0.991	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.009	0.991	0.000
rs8087073 lBF = `0.0584845` Chr`18` : `2,967,845`	0.000	0.991	0.008
rs1539808 lBF = `0.0106367` Chr`18` : `5,978,931`	0.000	0.992	0.008
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.001	0.992	0.007
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.008	0.992	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.007	0.993	0.000
rs139095266 lBF = `0.0102423` Chr`18` : `66,379,738`	0.006	0.994	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.006	0.994	0.000
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.004	0.996	0.000
rs4331426 lBF = `0.0201478` Chr`18` : `20,190,795`	0.000	0.996	0.004
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.000	0.997	0.002
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	0.997	0.002
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.000	0.997	0.002
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.998	0.002
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.002	0.998	0.001
rs35352860 lBF = `24.3441` Chr`18` : `46,453,754`	0.002	0.998	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.002	0.998	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.002	0.998	0.001
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.998	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.002	0.998	0.000
rs11663316 lBF = `0.0503791` Chr`18` : `9,027,914`	0.000	0.998	0.002
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.002	0.998	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	0.998	0.002
rs1187264 lBF = `0.165543` Chr`18` : `35,289,647`	0.000	0.998	0.002
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.002	0.998	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	0.998	0.002
rs9958032 lBF = `-0.00322639` Chr`18` : `39,228,310`	0.001	0.998	0.000
rs8092503 lBF = `0.672041` Chr`18` : `52,479,487`	0.000	0.998	0.002
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs1013696 lBF = `0.092336` Chr`18` : `31,420,010`	0.000	0.998	0.001
rs2162440 lBF = `-0.070034` Chr`18` : `35,214,006`	0.001	0.998	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	0.999	0.001
rs11874712 lBF = `-0.0915363` Chr`18` : `43,688,576`	0.001	0.999	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.000	0.999	0.001
rs7234531 lBF = `-0.00917178` Chr`18` : `64,570,385`	0.001	0.999	0.000
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs17083844 lBF = `-0.0283239` Chr`18` : `68,842,243`	0.001	0.999	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.001
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.001	0.999	0.000
rs75518588 lBF = `6.17381` Chr`18` : `46,400,784`	0.000	0.999	0.001
rs6505987 lBF = `0.00105431` Chr`18` : `1,977,713`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs1050631 lBF = `-0.010527` Chr`18` : `33,694,120`	0.000	0.999	0.001
rs9950590 lBF = `0.00003279` Chr`18` : `8,043,661`	0.001	0.999	0.000
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs141318925 lBF = `0` Chr`18` : `6,623,040`	0.001	0.999	0.001
rs148133787 lBF = `0` Chr`18` : `25,227,459`	0.001	0.999	0.001
rs184167040 lBF = `0` Chr`18` : `39,038,041`	0.001	0.999	0.001
rs190650493 lBF = `0` Chr`18` : `30,625,009`	0.001	0.999	0.001
rs9948784 lBF = `0` Chr`18` : `72,897,161`	0.001	0.999	0.001
rs148187869 lBF = `0` Chr`18` : `25,261,838`	0.001	0.999	0.001
rs190343823 lBF = `0` Chr`18` : `33,835,336`	0.001	0.999	0.001
rs192178588 lBF = `0` Chr`18` : `25,223,007`	0.001	0.999	0.001
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs7243817 lBF = `0.276956` Chr`18` : `22,132,494`	0.000	0.999	0.001
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	0.001	0.999	0.000
rs77741790 lBF = `-0.00001874` Chr`18` : `6,894,475`	0.000	0.999	0.001
rs76752096 lBF = `-0.0000229` Chr`18` : `25,137,059`	0.001	0.999	0.000
rs9953852 lBF = `-0.0000316` Chr`18` : `33,097,960`	0.001	0.999	0.000
rs1941184 lBF = `-0.0248336` Chr`18` : `29,038,123`	0.001	0.999	0.000
rs7239865 lBF = `-0.0803411` Chr`18` : `1,971,193`	0.000	0.999	0.001
rs7231041 lBF = `-0.103691` Chr`18` : `23,393,104`	0.000	0.999	0.001
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.001	0.999	0.000
rs7243299 lBF = `-0.00003336` Chr`18` : `7,755,771`	0.001	0.999	0.000
rs10853575 lBF = `-0.0455302` Chr`18` : `46,559,719`	0.000	0.999	0.001
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.001	0.999	0.000
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs8085804 lBF = `0.0949757` Chr`18` : `40,288,293`	0.001	0.999	0.000
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.000	0.999	0.001
rs8083346 lBF = `-0.0774234` Chr`18` : `62,998,775`	0.000	0.999	0.001
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.001	0.999	0.000
rs518471 lBF = `-0.0529929` Chr`18` : `618,124`	0.000	0.999	0.001
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	0.999	0.001
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.001	0.999	0.000
rs715170 lBF = `-0.0458681` Chr`18` : `53,795,514`	0.001	0.999	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.001	0.999	0.000
rs529445 lBF = `-0.0902455` Chr`18` : `55,783,497`	0.001	0.999	0.000
rs77990856 lBF = `-0.0225233` Chr`18` : `48,016,887`	0.000	0.999	0.001
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	0.999	0.001
rs1876449 lBF = `-0.0931902` Chr`18` : `1,471,413`	0.000	0.999	0.001
rs11659841 lBF = `0.780136` Chr`18` : `25,786,880`	0.000	0.999	0.001
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.001	0.999	0.000
rs549476 lBF = `0.386853` Chr`18` : `55,810,733`	0.000	0.999	0.001
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rs12960119 lBF = `0.0613299` Chr`18` : `23,614,703`	0.000	1.000	0.000
rs11661542 lBF = `0.060825` Chr`18` : `20,223,695`	0.000	1.000	0.000
rs7226835 lBF = `0.0320584` Chr`18` : `37,165,305`	0.000	1.000	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	1.000	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.000	1.000	0.000
rs1826508 lBF = `0.0032493` Chr`18` : `1,206,984`	0.000	1.000	0.000
rs35815903 lBF = `-0.00326249` Chr`18` : `69,274,571`	0.000	1.000	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs1943199 lBF = `-0.029086` Chr`18` : `73,462,854`	0.000	1.000	0.000
rs11662586 lBF = `-0.0347607` Chr`18` : `77,716,171`	0.000	1.000	0.000
rs62090893 lBF = `-0.0408889` Chr`18` : `73,050,334`	0.000	1.000	0.000
rs34777351 lBF = `-0.0625803` Chr`18` : `23,106,223`	0.000	1.000	0.000
rs1942771 lBF = `-0.0671424` Chr`18` : `71,211,745`	0.000	1.000	0.000
rs4131805 lBF = `-0.100271` Chr`18` : `26,059,112`	0.000	1.000	0.000
rs560248 lBF = `-0.112589` Chr`18` : `58,226,027`	0.000	1.000	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.000	1.000	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	1.000	0.000
rs41475954 lBF = `1.09592` Chr`18` : `35,085,733`	0.000	1.000	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	1.000	0.000
rs727088 lBF = `0.518781` Chr`18` : `67,530,439`	0.000	1.000	0.000
rs17088439 lBF = `0.409643` Chr`18` : `71,522,091`	0.000	1.000	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.000	1.000	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.000	1.000	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	1.000	0.000
rs9961113 lBF = `0.101342` Chr`18` : `75,605,399`	0.000	1.000	0.000
rs7236492 lBF = `0.0825699` Chr`18` : `77,220,616`	0.000	1.000	0.000
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.000	1.000	0.000
rs4800279 lBF = `0.033325` Chr`18` : `25,070,355`	0.000	1.000	0.000
rs9636107 lBF = `0.0137675` Chr`18` : `53,200,117`	0.000	1.000	0.000
rs8083432 lBF = `0.00600591` Chr`18` : `22,731,360`	0.000	1.000	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	1.000	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.000	1.000	0.000
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.000	1.000	0.000
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs2156107 lBF = `-0.0218139` Chr`18` : `70,546,470`	0.000	1.000	0.000
rs1187220 lBF = `-0.0354844` Chr`18` : `35,351,726`	0.000	1.000	0.000
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.000	1.000	0.000
rs2887004 lBF = `-0.0723229` Chr`18` : `69,379,390`	0.000	1.000	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.000	1.000	0.000
rs8093502 lBF = `-0.0777335` Chr`18` : `70,285,457`	0.000	1.000	0.000
rs12455580 lBF = `-0.0955612` Chr`18` : `75,638,023`	0.000	1.000	0.000
rs17073641 lBF = `-0.0984909` Chr`18` : `62,418,444`	0.000	1.000	0.000
rs10502386 lBF = `-0.101582` Chr`18` : `8,966,144`	0.000	1.000	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.000	1.000	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.000	1.000	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.000	1.000	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.000	1.000	0.000
rs454768 lBF = `5.28137` Chr`18` : `29,628,863`	0.000	1.000	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.000	1.000	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.000	1.000	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.000	1.000	0.000
rs763361 lBF = `0.464979` Chr`18` : `67,531,642`	0.000	1.000	0.000
rs7235528 lBF = `0.136261` Chr`18` : `40,058,882`	0.000	1.000	0.000
rs13353224 lBF = `0.113731` Chr`18` : `65,400,425`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs10502868 lBF = `0.00560334` Chr`18` : `43,153,949`	0.000	1.000	0.000
rs7505784 lBF = `-0.0300839` Chr`18` : `27,184,881`	0.000	1.000	0.000
rs8088832 lBF = `-0.031911` Chr`18` : `69,926,757`	0.000	1.000	0.000
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.000	1.000	0.000
rs732528 lBF = `-0.0426621` Chr`18` : `48,378,234`	0.000	1.000	0.000
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	1.000	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	1.000	0.000
rs8089250 lBF = `-0.0638926` Chr`18` : `4,772,807`	0.000	1.000	0.000
rs11080466 lBF = `-0.0642206` Chr`18` : `10,899,028`	0.000	1.000	0.000
rs1893154 lBF = `-0.0669518` Chr`18` : `905,125`	0.000	1.000	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	1.000	0.000
rs58882377 lBF = `-0.0884508` Chr`18` : `3,465,132`	0.000	1.000	0.000
rs605920 lBF = `-0.100958` Chr`18` : `62,884,918`	0.000	1.000	0.000
rs470490 lBF = `-0.127231` Chr`18` : `63,031,236`	0.000	1.000	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.000	1.000	0.000
rs7229639 lBF = `1.53483` Chr`18` : `46,450,976`	0.000	1.000	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	1.000	0.000
rs7226371 lBF = `0.0494513` Chr`18` : `1,850,771`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs144653651 lBF = `0.0105332` Chr`18` : `12,909,504`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.000	1.000	0.000
rs3810046 lBF = `-0.021185` Chr`18` : `6,941,662`	0.000	1.000	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs4398173 lBF = `-0.0388361` Chr`18` : `6,941,108`	0.000	1.000	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	1.000	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.000	1.000	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs8091180 lBF = `-0.0776858` Chr`18` : `77,164,243`	0.000	1.000	0.000
rs7235440 lBF = `-0.0928884` Chr`18` : `22,106,776`	0.000	1.000	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.000	1.000	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	1.000	0.000
rs17697518 lBF = `0.615094` Chr`18` : `38,765,659`	0.000	1.000	0.000
rs4796995 lBF = `0.417505` Chr`18` : `13,708,574`	0.000	1.000	0.000
rs8090196 lBF = `0.155151` Chr`18` : `40,075,956`	0.000	1.000	0.000
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9180

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.7903

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4254

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2926

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9780

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9509

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9222

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9163

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9118

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9115

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9114

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8978

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8962

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8876

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8748

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8743

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8729

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8683

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8642

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8579

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8547

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8495

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8343

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8299

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8096

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8063

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8039

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8027

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8024

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7972

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7966

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7915

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7841

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7831

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7815

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7806

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7755

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7663

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7655

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7606

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7504

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7458

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7452

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7441

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7394

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7370

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7368

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7365

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7345

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7330

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7322

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7304

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7217

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7208

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7151

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7075

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7067

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7035

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6985

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6984

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6946

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6923

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6818

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6788

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6769

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6762

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6748

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6712

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6642

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6611

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6600

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6533

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6521

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6466

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6444

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6372

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6353

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6276

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6257

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6246

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6244

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6241

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6220

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6199

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6174

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6173

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6173

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6156

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6111

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6034

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6016

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6014

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5995

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5968

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5951

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5915

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5890

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5889

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5842

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5770

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5580

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5453

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5290

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5138

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5138

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5138

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5133

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5126

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5109

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5079

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4989

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4917

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4892

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4841

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.4657

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4656

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4653

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4554

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4496

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4242

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4240

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4218

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4054

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3998

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3934

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3907

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3837

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3782

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3776

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3449

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3440

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3360

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3314

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3238

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3162

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3161

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3055

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2664

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2443

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2323

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2269

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1666

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1556

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1437

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1019

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0906

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0718

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)