TreeWAS – [C43.4] Malignant melanoma of scalp and neck

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
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.746	0.254	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.714	0.286	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.682	0.318	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.640	0.360	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.618	0.382	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.617	0.383	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.610	0.389	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.547	0.452	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.540	0.460	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.526	0.474	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.517	0.483	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.514	0.486	0.000
rs298104 lBF = `8.33791` Chr`12` : `52,818,504`	0.497	0.503	0.000
rs298109 lBF = `7.58726` Chr`12` : `52,827,818`	0.491	0.509	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.479	0.521	0.000
rs11170164 lBF = `18.5212` Chr`12` : `52,913,668`	0.461	0.539	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.461	0.539	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.441	0.559	0.000
rs370354 lBF = `10.0787` Chr`12` : `52,862,041`	0.432	0.568	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.429	0.570	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.423	0.576	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.423	0.577	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.419	0.581	0.000
rs373374 lBF = `9.61442` Chr`12` : `52,880,007`	0.414	0.586	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.413	0.587	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.410	0.590	0.000
rs10859995 lBF = `5.14564` Chr`12` : `96,375,682`	0.398	0.602	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.392	0.608	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.389	0.611	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.388	0.612	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.386	0.614	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.382	0.617	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.379	0.620	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.379	0.621	0.000
rs404443 lBF = `10.1143` Chr`12` : `52,860,609`	0.371	0.629	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.369	0.631	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.367	0.633	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.366	0.634	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.364	0.636	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.349	0.651	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.347	0.653	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.345	0.655	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.344	0.655	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.336	0.664	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.321	0.679	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.318	0.682	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.315	0.684	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.315	0.685	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.310	0.690	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.306	0.694	0.000
rs66478310 lBF = `0.478704` Chr`12` : `108,842,376`	0.000	0.697	0.303
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.285	0.714	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.279	0.721	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.272	0.728	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.258	0.742	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.256	0.744	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.254	0.746	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.254	0.746	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.250	0.749	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.244	0.756	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.244	0.756	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.242	0.757	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.240	0.759	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.239	0.761	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.238	0.762	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.238	0.762	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.234	0.766	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.231	0.769	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.230	0.769	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.227	0.773	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.226	0.774	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.222	0.778	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.218	0.782	0.001
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.216	0.783	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.214	0.785	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.213	0.786	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.213	0.787	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.209	0.790	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.205	0.795	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.201	0.798	0.001
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.193	0.807	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.189	0.811	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.186	0.813	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.184	0.816	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.175	0.825	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.169	0.830	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.164	0.836	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.162	0.838	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.160	0.839	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.159	0.841	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.155	0.844	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.155	0.845	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.154	0.846	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.151	0.849	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.151	0.849	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.148	0.852	0.000
rs10400419 lBF = `0.053109` Chr`12` : `66,389,968`	0.000	0.854	0.146
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.142	0.858	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.141	0.859	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.140	0.860	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.140	0.860	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.137	0.863	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.134	0.866	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.129	0.871	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.129	0.871	0.000
rs10784502 lBF = `0.235294` Chr`12` : `66,343,810`	0.000	0.871	0.129
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.126	0.873	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.123	0.876	0.001
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.119	0.879	0.001
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.120	0.880	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.118	0.882	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.112	0.888	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.109	0.890	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.108	0.892	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.108	0.892	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.105	0.895	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.103	0.897	0.001
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.099	0.900	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.099	0.901	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.098	0.901	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.096	0.903	0.001
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.093	0.907	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.092	0.907	0.001
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.092	0.908	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.091	0.909	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.090	0.910	0.000
rs8756 lBF = `1.33` Chr`12` : `66,359,752`	0.000	0.910	0.090
rs412533 lBF = `23.2298` Chr`12` : `52,863,213`	0.000	0.912	0.088
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.087	0.913	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.087	0.913	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.087	0.913	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.086	0.914	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.084	0.916	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.083	0.917	0.001
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.083	0.917	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.081	0.919	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.078	0.921	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.078	0.922	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.075	0.925	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.075	0.925	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.074	0.926	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.071	0.929	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.069	0.931	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.066	0.934	0.000
rs7970350 lBF = `1.08872` Chr`12` : `66,360,164`	0.000	0.934	0.066
rs7968682 lBF = `1.05075` Chr`12` : `66,371,880`	0.000	0.934	0.066
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.060	0.935	0.006
rs17040430 lBF = `0.425945` Chr`12` : `108,742,820`	0.000	0.935	0.065
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.064	0.936	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.063	0.936	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.063	0.936	0.001
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.062	0.938	0.001
rs1042725 lBF = `1.18185` Chr`12` : `66,358,347`	0.000	0.939	0.061
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.060	0.940	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.054	0.945	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.052	0.947	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.051	0.949	0.000
rs11058488 lBF = `0.0657132` Chr`12` : `126,551,205`	0.049	0.951	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.047	0.952	0.001
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.048	0.952	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.048	0.952	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.045	0.952	0.003
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.000	0.954	0.046
rs11170116 lBF = `5.50057` Chr`12` : `52,806,798`	0.041	0.959	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.038	0.962	0.000
rs1351394 lBF = `0.846087` Chr`12` : `66,351,826`	0.000	0.962	0.038
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.035	0.965	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.966	0.034
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.033	0.966	0.001
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.032	0.968	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.031	0.969	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.031	0.969	0.001
rs7135659 lBF = `1.31293` Chr`12` : `114,801,772`	0.031	0.969	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.030	0.970	0.001
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.030	0.970	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.030	0.970	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.028	0.971	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.025	0.975	0.000
rs650694 lBF = `14.526` Chr`12` : `52,906,586`	0.000	0.976	0.024
rs1895585 lBF = `1.05922` Chr`12` : `114,802,138`	0.022	0.978	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.022	0.978	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.019	0.978	0.003
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.021	0.979	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.020	0.980	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.020	0.980	0.000
rs12817488 lBF = `0.741885` Chr`12` : `123,296,294`	0.000	0.980	0.020
Affx-35293052 lBF = `21.9991` Chr`12` : `52,880,371`	0.000	0.981	0.019
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.018	0.981	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.018	0.982	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.007	0.982	0.011
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.016	0.982	0.002
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.018	0.982	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.018	0.982	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	0.982	0.018
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.017	0.983	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.017	0.983	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.017	0.983	0.000
rs11060180 lBF = `0.701454` Chr`12` : `123,303,586`	0.016	0.984	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	0.984	0.016
rs450750 lBF = `11.4812` Chr`12` : `52,809,198`	0.000	0.984	0.016
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.984	0.016
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.015	0.985	0.000
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rs143566192 lBF = `0` Chr`12` : `65,993,758`	0.001	0.999	0.001
rs12300553 lBF = `0` Chr`12` : `15,381,210`	0.001	0.999	0.001
rs3782886 lBF = `0` Chr`12` : `112,110,489`	0.001	0.999	0.001
rs143053231 lBF = `0` Chr`12` : `56,091,032`	0.001	0.999	0.001
rs137948794 lBF = `0` Chr`12` : `56,408,314`	0.001	0.999	0.001
rs10846617 lBF = `0` Chr`12` : `124,662,131`	0.001	0.999	0.001
rs191413231 lBF = `0` Chr`12` : `13,630,602`	0.001	0.999	0.001
rs4764124 lBF = `0` Chr`12` : `14,966,604`	0.001	0.999	0.001
rs191000678 lBF = `0` Chr`12` : `28,286,990`	0.001	0.999	0.001
rs2072134 lBF = `0` Chr`12` : `113,409,176`	0.001	0.999	0.001
rs671 lBF = `0` Chr`12` : `112,241,766`	0.001	0.999	0.001
rs111696067 lBF = `0` Chr`12` : `133,376,540`	0.001	0.999	0.001
rs139337462 lBF = `0` Chr`12` : `29,984,300`	0.001	0.999	0.001
rs185216905 lBF = `0` Chr`12` : `125,087,192`	0.001	0.999	0.001
rs17415853 lBF = `0` Chr`12` : `15,930,805`	0.001	0.999	0.001
rs182272664 lBF = `0` Chr`12` : `22,464,940`	0.001	0.999	0.001
rs193047854 lBF = `0` Chr`12` : `56,274,155`	0.001	0.999	0.001
rs11174436 lBF = `0` Chr`12` : `62,743,348`	0.001	0.999	0.001
rs2188380 lBF = `0` Chr`12` : `111,386,127`	0.001	0.999	0.001
rs7968270 lBF = `-0.0660084` Chr`12` : `95,095,838`	0.001	0.999	0.000
rs10848704 lBF = `-0.0803454` Chr`12` : `2,882,544`	0.000	0.999	0.001
rs183244340 lBF = `0.0050197` Chr`12` : `87,005,576`	0.001	0.999	0.000
rs11833289 lBF = `-0.00000351` Chr`12` : `55,451,694`	0.001	0.999	0.000
rs8179116 lBF = `-0.00001761` Chr`12` : `109,025,427`	0.000	0.999	0.001
rs189340018 lBF = `-0.00002107` Chr`12` : `107,628,680`	0.001	0.999	0.000
rs150696478 lBF = `-0.0000275` Chr`12` : `86,321,388`	0.000	0.999	0.001
rs147510300 lBF = `-0.0000275` Chr`12` : `86,318,548`	0.000	0.999	0.001
rs12229654 lBF = `-0.00004675` Chr`12` : `111,414,461`	0.001	0.999	0.000
rs3026485 lBF = `-0.00004701` Chr`12` : `110,782,027`	0.000	0.999	0.001
rs11054731 lBF = `-0.0640627` Chr`12` : `12,376,465`	0.001	0.999	0.000
rs11532322 lBF = `1.22826` Chr`12` : `123,731,423`	0.000	0.999	0.001
rs1402279 lBF = `0.0579971` Chr`12` : `77,729,385`	0.000	0.999	0.001
rs11835432 lBF = `0.00267274` Chr`12` : `127,826,108`	0.000	0.999	0.001
rs59448276 lBF = `-0.00012332` Chr`12` : `52,680,766`	0.001	0.999	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.001	0.999	0.000
rs6581612 lBF = `0.0439212` Chr`12` : `65,534,624`	0.001	0.999	0.000
rs11612228 lBF = `0.0226297` Chr`12` : `576,984`	0.001	0.999	0.000
rs4761974 lBF = `0.00489477` Chr`12` : `51,880,445`	0.000	0.999	0.001
rs193153567 lBF = `-0.00029294` Chr`12` : `48,946,231`	0.001	0.999	0.000
rs1106766 lBF = `0.0945375` Chr`12` : `57,809,456`	0.000	0.999	0.001
rs11613352 lBF = `0.0645281` Chr`12` : `57,792,580`	0.000	0.999	0.001
rs74377925 lBF = `0.0293844` Chr`12` : `16,699,250`	0.001	0.999	0.000
rs4251424 lBF = `-0.00048778` Chr`12` : `44,153,826`	0.001	0.999	0.000
rs117483990 lBF = `-0.00680357` Chr`12` : `90,224,714`	0.000	0.999	0.001
rs3741414 lBF = `0.0991612` Chr`12` : `57,844,049`	0.000	0.999	0.001
rs7312122 lBF = `0.0324516` Chr`12` : `113,158,838`	0.000	0.999	0.001
rs1606355 lBF = `-0.0340918` Chr`12` : `28,815,792`	0.001	0.999	0.000
rs6487679 lBF = `-0.0441298` Chr`12` : `9,371,332`	0.001	0.999	0.000
rs61941274 lBF = `0.00529695` Chr`12` : `112,132,610`	0.001	0.999	0.000
rs297941 lBF = `-0.0641366` Chr`12` : `50,319,086`	0.000	0.999	0.001
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.001	0.999	0.000
rs2238126 lBF = `-0.0538922` Chr`12` : `12,009,741`	0.001	0.999	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.001	0.999	0.000
rs10859525 lBF = `0.200562` Chr`12` : `93,948,457`	0.000	0.999	0.001
rs61352607 lBF = `0.102773` Chr`12` : `57,839,173`	0.000	0.999	0.001
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.001	0.999	0.000
rs7976059 lBF = `-0.0919263` Chr`12` : `52,251,272`	0.000	0.999	0.001
rs2041895 lBF = `-0.0919575` Chr`12` : `107,350,088`	0.000	0.999	0.001
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.001	0.999	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.999	0.001
rs17108344 lBF = `-0.00155388` Chr`12` : `70,954,464`	0.000	0.999	0.000
rs2052678 lBF = `0.0263995` Chr`12` : `29,833,329`	0.000	0.999	0.001
rs17429217 lBF = `0.00288289` Chr`12` : `117,295,333`	0.001	0.999	0.000
rs16923647 lBF = `-0.0674625` Chr`12` : `21,451,395`	0.001	0.999	0.000
rs7488011 lBF = `12.0453` Chr`12` : `9,925,336`	0.000	0.999	0.001
rs140785266 lBF = `0.00305033` Chr`12` : `86,195,923`	0.000	0.999	0.000
rs17291650 lBF = `-0.0237825` Chr`12` : `51,213,433`	0.000	0.999	0.001
rs187607716 lBF = `0.281898` Chr`12` : `91,487,517`	0.001	0.999	0.000
rs2172873 lBF = `0.108565` Chr`12` : `103,125,690`	0.001	0.999	0.000
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.001	0.999	0.000
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.000
rs4760636 lBF = `-0.0548218` Chr`12` : `48,173,352`	0.001	0.999	0.000
rs7970953 lBF = `-0.0693781` Chr`12` : `24,075,508`	0.000	0.999	0.001
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.001	0.999	0.000
rs142054194 lBF = `0.0063675` Chr`12` : `86,864,240`	0.001	0.999	0.000
rs4764039 lBF = `-0.0106674` Chr`12` : `14,064,461`	0.001	0.999	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.000	0.999	0.001
rs1154865 lBF = `0.073011` Chr`12` : `73,989,837`	0.000	0.999	0.001
rs9971637 lBF = `-0.00275548` Chr`12` : `17,373,739`	0.000	0.999	0.001
rs4764043 lBF = `-0.0199619` Chr`12` : `14,115,482`	0.000	0.999	0.001
rs10847980 lBF = `-0.0291399` Chr`12` : `123,387,922`	0.001	0.999	0.000
rs2055677 lBF = `-0.0445437` Chr`12` : `45,238,904`	0.001	0.999	0.000
rs1053051 lBF = `-0.0793726` Chr`12` : `107,367,225`	0.000	0.999	0.001
rs10744775 lBF = `4.3423` Chr`12` : `112,096,215`	0.000	0.999	0.001
rs2102949 lBF = `1.92752` Chr`12` : `123,676,763`	0.000	0.999	0.001
rs2851447 lBF = `1.9192` Chr`12` : `123,665,113`	0.000	0.999	0.001
rs7296418 lBF = `0.557974` Chr`12` : `123,457,619`	0.000	0.999	0.001
rs12822662 lBF = `0.158725` Chr`12` : `38,863,670`	0.001	0.999	0.000
rs2870946 lBF = `0.0641534` Chr`12` : `68,596,661`	0.000	0.999	0.001
rs3764044 lBF = `-0.0323613` Chr`12` : `21,428,371`	0.000	0.999	0.001
rs10841753 lBF = `-0.0574697` Chr`12` : `21,321,370`	0.000	0.999	0.001
rs11362332 lBF = `5.87161` Chr`12` : `27,993,726`	0.000	0.999	0.001
rs11062987 lBF = `0.437239` Chr`12` : `4,173,126`	0.001	0.999	0.000
rs10876993 lBF = `0.280466` Chr`12` : `58,062,667`	0.000	0.999	0.001
rs10770705 lBF = `0.0261729` Chr`12` : `20,857,467`	0.000	0.999	0.001
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	0.999	0.000
rs4622329 lBF = `-0.103813` Chr`12` : `102,321,935`	0.000	0.999	0.001

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 X0304

log Bayes Factor = 64.0127

contains 3 variants

0.6495

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6195

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4347

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3714

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.9999

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9458

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9420

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9407

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8944

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.8934

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8763

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8757

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.8690

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8417

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8317

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8158

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8136

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8085

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8041

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7993

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7639

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7325

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7191

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7191

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6883

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6848

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6846

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6529

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5966

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5957

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5955

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5777

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5725

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5604

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.5594

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5402

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5365

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5263

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5083

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4830

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4792

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4628

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4535

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4487

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4367

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4182

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4098

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3949

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3727

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3709

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3644

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3617

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3557

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3531

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3520

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3446

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3423

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3400

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3399

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3187

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3152

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.3097

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2985

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2983

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2843

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2551

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2549

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2517

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2464

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2437

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2392

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2334

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2289

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2278

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2098

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2000

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1975

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1903

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1893

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1814

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1805

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1799

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1749

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1674

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1604

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1565

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1544

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1507

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1479

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1444

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1440

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1364

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1290

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1245

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1239

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1227

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1168

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1163

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1163

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1134

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1098

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1097

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1080

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1077

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1076

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1063

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1028

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1018

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0960

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0919

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0913

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0899

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0872

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0853

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0833

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0826

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0799

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0797

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0790

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0768

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0705

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0629

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0627

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0596

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0582

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0558

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0550

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0521

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0505

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`)