TreeWAS – [C79.2] Secondary malignant neoplasm of skin

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
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.927	0.073	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.886	0.114	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.876	0.124	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.830	0.170	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.765	0.235	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.764	0.236	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.762	0.238	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.752	0.248	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.747	0.253	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.701	0.299	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.682	0.318	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.676	0.323	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.673	0.327	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.651	0.349	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.640	0.359	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.617	0.383	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.611	0.388	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.609	0.391	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.586	0.413	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.579	0.421	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.577	0.422	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.573	0.427	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.568	0.432	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.552	0.448	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.541	0.458	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.524	0.476	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.520	0.480	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.515	0.485	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.494	0.506	0.000
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.000	0.515	0.485
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.482	0.518	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.457	0.543	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.454	0.546	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.444	0.555	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.434	0.566	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.428	0.572	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.412	0.587	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.403	0.596	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.400	0.600	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.395	0.605	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.392	0.608	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.390	0.610	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.387	0.613	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.376	0.624	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.371	0.629	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.363	0.637	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.359	0.641	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.344	0.656	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.327	0.673	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.305	0.695	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.304	0.696	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.287	0.713	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.265	0.735	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.261	0.738	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.252	0.748	0.000
rs7241918 lBF = `0.132748` Chr`18` : `47,160,953`	0.249	0.751	0.000
rs1784848 lBF = `0.205323` Chr`18` : `2,176,439`	0.241	0.759	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.211	0.789	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.204	0.795	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.204	0.796	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.203	0.796	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.191	0.808	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.188	0.812	0.000
rs2187375 lBF = `0.0745483` Chr`18` : `47,172,283`	0.188	0.812	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.186	0.814	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.186	0.814	0.000
rs7240405 lBF = `0.0955091` Chr`18` : `47,159,090`	0.175	0.825	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.173	0.827	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.170	0.830	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.155	0.845	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.147	0.853	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.133	0.867	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.113	0.886	0.000
rs2156552 lBF = `0.0253551` Chr`18` : `47,181,668`	0.103	0.897	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.100	0.900	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.094	0.906	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.094	0.906	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.091	0.909	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.076	0.924	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.000	0.925	0.075
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.074	0.926	0.000
rs4939883 lBF = `0.00113261` Chr`18` : `47,167,214`	0.073	0.927	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.067	0.933	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.065	0.934	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.061	0.939	0.000
rs7226835 lBF = `0.0320584` Chr`18` : `37,165,305`	0.058	0.942	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.056	0.944	0.000
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.055	0.945	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.053	0.947	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.049	0.951	0.001
rs7229639 lBF = `1.53483` Chr`18` : `46,450,976`	0.000	0.951	0.049
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.048	0.952	0.000
rs8087073 lBF = `0.0584845` Chr`18` : `2,967,845`	0.041	0.959	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.036	0.964	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.036	0.964	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.032	0.966	0.001
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.027	0.973	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.026	0.974	0.000
rs11659841 lBF = `0.780136` Chr`18` : `25,786,880`	0.000	0.974	0.026
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.025	0.974	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.020	0.979	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.020	0.980	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.020	0.980	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.019	0.980	0.000
rs12970291 lBF = `0.0586602` Chr`18` : `73,017,234`	0.019	0.981	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.018	0.981	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.015	0.985	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.015	0.985	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.015	0.985	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.014	0.986	0.000
rs337718 lBF = `-0.0884433` Chr`18` : `69,774,278`	0.000	0.986	0.014
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	0.986	0.014
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.012	0.988	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.011	0.989	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.010	0.990	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.007	0.993	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.006	0.993	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.007	0.993	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.006	0.993	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.006	0.993	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.005	0.994	0.001
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.005	0.995	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.005	0.995	0.000
rs3786431 lBF = `0.862458` Chr`18` : `3,814,148`	0.000	0.995	0.005
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.004	0.996	0.001
rs9947662 lBF = `-0.0367082` Chr`18` : `44,860,264`	0.000	0.996	0.004
rs509477 lBF = `0.0730442` Chr`18` : `32,559,295`	0.004	0.996	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.004	0.996	0.000
rs8089250 lBF = `-0.0638926` Chr`18` : `4,772,807`	0.000	0.996	0.004
rs7240777 lBF = `-0.0482661` Chr`18` : `71,167,752`	0.000	0.996	0.004
rs11082762 lBF = `0.00833848` Chr`18` : `21,365,853`	0.000	0.996	0.004
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.997	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.003	0.997	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.003	0.997	0.000
rs17085106 lBF = `0.00071213` Chr`18` : `69,439,073`	0.003	0.997	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.001	0.997	0.001
rs7506840 lBF = `0.11647` Chr`18` : `6,522,756`	0.000	0.997	0.003
rs6505987 lBF = `0.00105431` Chr`18` : `1,977,713`	0.002	0.997	0.000
rs597503 lBF = `-0.0247466` Chr`18` : `6,939,947`	0.002	0.998	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.002	0.998	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.998	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.000	0.998	0.002
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	0.998	0.002
rs1893154 lBF = `-0.0669518` Chr`18` : `905,125`	0.002	0.998	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.998	0.002
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.002	0.998	0.000
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.002	0.998	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	0.998	0.002
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.002	0.998	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.001	0.998	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.998	0.002
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.001	0.998	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.001	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs8089099 lBF = `-0.0257521` Chr`18` : `10,078,071`	0.002	0.998	0.000
rs17744182 lBF = `-0.0048654` Chr`18` : `30,032,525`	0.000	0.999	0.001
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.001	0.999	0.000
rs1808579 lBF = `0.154254` Chr`18` : `21,104,888`	0.001	0.999	0.000
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.001	0.999	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.001	0.999	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.001	0.999	0.000
rs2660917 lBF = `0.143926` Chr`18` : `68,628,078`	0.000	0.999	0.001
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs9951602 lBF = `-0.029318` Chr`18` : `76,657,779`	0.000	0.999	0.001
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.000	0.999	0.001
rs1667255 lBF = `2.62488` Chr`18` : `29,187,279`	0.000	0.999	0.001
rs41418949 lBF = `0.0614003` Chr`18` : `70,442,068`	0.001	0.999	0.000
rs9675861 lBF = `-0.00714888` Chr`18` : `7,172,523`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	0.999	0.001
rs57440971 lBF = `0.00323038` Chr`18` : `120,296`	0.000	0.999	0.001
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.001	0.999	0.000
rs1436904 lBF = `-0.114988` Chr`18` : `24,570,667`	0.000	0.999	0.001
rs4890489 lBF = `-0.0603201` Chr`18` : `42,431,244`	0.000	0.999	0.001
rs991014 lBF = `-0.0620715` Chr`18` : `42,439,886`	0.000	0.999	0.001
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.000	0.999	0.001
rs643507 lBF = `0.0153565` Chr`18` : `2,946,291`	0.000	0.999	0.001
rs139095266 lBF = `0.0102423` Chr`18` : `66,379,738`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs2926621 lBF = `-0.0127574` Chr`18` : `73,620,170`	0.001	0.999	0.000
rs144081173 lBF = `0.0948435` Chr`18` : `47,245,225`	0.000	0.999	0.001
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	0.001	0.999	0.000
rs9950590 lBF = `0.00003279` Chr`18` : `8,043,661`	0.001	0.999	0.000
rs192178588 lBF = `0` Chr`18` : `25,223,007`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	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
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rs8093502 lBF = `-0.0777335` Chr`18` : `70,285,457`	0.000	1.000	0.000
rs1557305 lBF = `-0.107878` Chr`18` : `4,721,359`	0.000	1.000	0.000
rs72932713 lBF = `10.0951` Chr`18` : `53,186,911`	0.000	1.000	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.000	1.000	0.000
rs17207042 lBF = `0.363174` Chr`18` : `67,537,351`	0.000	1.000	0.000
rs7243817 lBF = `0.276956` Chr`18` : `22,132,494`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs8083633 lBF = `0.0866349` Chr`18` : `3,522,006`	0.000	1.000	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.000	1.000	0.000
rs8091660 lBF = `-0.0605294` Chr`18` : `46,087,936`	0.000	1.000	0.000
rs12456874 lBF = `-0.0687189` Chr`18` : `13,366,862`	0.000	1.000	0.000
rs2887004 lBF = `-0.0723229` Chr`18` : `69,379,390`	0.000	1.000	0.000
rs7238033 lBF = `-0.0992199` Chr`18` : `43,316,966`	0.000	1.000	0.000
rs10775480 lBF = `-0.09977` Chr`18` : `43,317,282`	0.000	1.000	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.000	1.000	0.000
rs8099014 lBF = `0.0458431` Chr`18` : `56,109,859`	0.000	1.000	0.000
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs9952762 lBF = `0.0275078` Chr`18` : `73,401,650`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	1.000	0.000
rs12604324 lBF = `-0.00214165` Chr`18` : `21,744,432`	0.000	1.000	0.000
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.000	1.000	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	0.000	1.000	0.000
rs1539893 lBF = `-0.0278756` Chr`18` : `66,544,755`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs11083271 lBF = `-0.0336809` Chr`18` : `25,926,059`	0.000	1.000	0.000
rs9961574 lBF = `-0.039267` Chr`18` : `8,536,116`	0.000	1.000	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.000	1.000	0.000
rs2865126 lBF = `-0.05792` Chr`18` : `10,766,425`	0.000	1.000	0.000
rs11080466 lBF = `-0.0642206` Chr`18` : `10,899,028`	0.000	1.000	0.000
rs1942771 lBF = `-0.0671424` Chr`18` : `71,211,745`	0.000	1.000	0.000
rs17194666 lBF = `-0.07569` Chr`18` : `73,089,377`	0.000	1.000	0.000
rs529445 lBF = `-0.0902455` Chr`18` : `55,783,497`	0.000	1.000	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.000	1.000	0.000
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	1.000	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	1.000	0.000
rs727088 lBF = `0.518781` Chr`18` : `67,530,439`	0.000	1.000	0.000
rs12969657 lBF = `0.440144` Chr`18` : `67,536,496`	0.000	1.000	0.000
rs2124349 lBF = `0.0170278` Chr`18` : `65,017,100`	0.000	1.000	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	1.000	0.000
rs3810046 lBF = `-0.021185` Chr`18` : `6,941,662`	0.000	1.000	0.000
rs6508673 lBF = `-0.0234076` Chr`18` : `27,956,443`	0.000	1.000	0.000
rs11081417 lBF = `-0.0246968` Chr`18` : `897,091`	0.000	1.000	0.000
rs2729409 lBF = `-0.0291495` Chr`18` : `28,141,688`	0.000	1.000	0.000
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs4398173 lBF = `-0.0388361` Chr`18` : `6,941,108`	0.000	1.000	0.000
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	1.000	0.000
rs10502675 lBF = `-0.0444613` Chr`18` : `35,198,296`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	0.000
rs7240382 lBF = `-0.0820825` Chr`18` : `74,450,640`	0.000	1.000	0.000
rs9956878 lBF = `-0.115392` Chr`18` : `73,536,711`	0.000	1.000	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	1.000	0.000
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.000	1.000	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.000	1.000	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	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
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.000	1.000	0.000
rs13353224 lBF = `0.113731` Chr`18` : `65,400,425`	0.000	1.000	0.000
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.000	1.000	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.000	1.000	0.000
rs10502868 lBF = `0.00560334` Chr`18` : `43,153,949`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs4308051 lBF = `-0.0254337` Chr`18` : `20,735,461`	0.000	1.000	0.000
rs4369779 lBF = `-0.0254647` Chr`18` : `20,735,408`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs17782904 lBF = `-0.0277588` Chr`18` : `42,313,710`	0.000	1.000	0.000
rs17440727 lBF = `-0.0826275` Chr`18` : `6,990,995`	0.000	1.000	0.000
rs7239679 lBF = `-0.0971045` Chr`18` : `10,443,693`	0.000	1.000	0.000
rs7239368 lBF = `-0.106469` Chr`18` : `31,645,379`	0.000	1.000	0.000
rs9951026 lBF = `-0.109832` Chr`18` : `47,109,693`	0.000	1.000	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	1.000	0.000
rs41452747 lBF = `6.20014` Chr`18` : `52,918,380`	0.000	1.000	0.000
rs4800353 lBF = `0.237395` Chr`18` : `19,654,137`	0.000	1.000	0.000
rs8090196 lBF = `0.155151` Chr`18` : `40,075,956`	0.000	1.000	0.000
rs4800148 lBF = `0.137038` Chr`18` : `20,724,328`	0.000	1.000	0.000
rs357894 lBF = `0.0370841` Chr`18` : `46,579,970`	0.000	1.000	0.000
rs8083432 lBF = `0.00600591` Chr`18` : `22,731,360`	0.000	1.000	0.000
rs145583025 lBF = `0.00517223` Chr`18` : `14,443,241`	0.000	1.000	0.000
rs2635047 lBF = `-0.00077824` Chr`18` : `44,736,336`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs12455924 lBF = `-0.0341717` Chr`18` : `11,064,409`	0.000	1.000	0.000
rs4800452 lBF = `-0.0380228` Chr`18` : `20,727,611`	0.000	1.000	0.000
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.000	1.000	0.000
rs715170 lBF = `-0.0458681` Chr`18` : `53,795,514`	0.000	1.000	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.000	1.000	0.000
rs473518 lBF = `-0.0490527` Chr`18` : `20,084,674`	0.000	1.000	0.000
rs1398217 lBF = `-0.0536648` Chr`18` : `44,752,238`	0.000	1.000	0.000
rs10438933 lBF = `-0.0554992` Chr`18` : `29,273,129`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs7240462 lBF = `-0.0706474` Chr`18` : `69,662,581`	0.000	1.000	0.000
rs8099594 lBF = `-0.102644` Chr`18` : `46,991,160`	0.000	1.000	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.000	1.000	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.000	1.000	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

0.9863

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6824

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5262

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9976

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9976

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9972

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9957

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9955

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9898

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9897

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9886

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9870

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9811

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9791

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9777

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9771

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9739

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9676

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9664

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9628

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9495

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9487

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9482

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9480

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9444

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9416

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9399

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9391

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9384

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9341

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9313

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9304

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9271

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9252

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9191

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9181

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9126

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9088

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9081

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8959

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8922

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8911

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.8902

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8818

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8783

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8593

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8583

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8575

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8485

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8418

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8408

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8372

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8352

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8325

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8245

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8097

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8021

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8016

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7960

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7897

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7834

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7831

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7716

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7680

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7354

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7319

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7308

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7171

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7123

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7035

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7011

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6947

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6831

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.6785

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6773

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6747

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6613

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6597

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6238

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6199

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6121

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6119

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6035

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5887

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5855

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5569

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5395

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5376

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5322

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5137

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4484

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4296

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4277

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4248

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4212

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4192

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3890

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3682

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3561

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3486

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3399

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3332

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2896

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2640

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2632

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2614

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2570

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2550

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2474

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2138

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2094

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2055

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1961

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1816

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1808

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1594

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1415

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1176

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1092

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1077

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0968

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0873

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0705

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0695

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0637

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0635

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0608

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0584

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0580

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0528

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`)