TreeWAS – [A41.5] Septicaemia due to other Gram-negative organisms

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
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.986	0.014	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.983	0.017	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.978	0.022	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.969	0.031	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.966	0.034	0.000
rs3094122 lBF = `186.196` Chr`6` : `30,728,360`	0.953	0.047	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.952	0.048	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.951	0.049	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.949	0.051	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.948	0.052	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.944	0.056	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.944	0.056	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.944	0.056	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.943	0.057	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.942	0.058	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.940	0.060	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.939	0.061	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.938	0.062	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.937	0.063	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.936	0.064	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.934	0.066	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.930	0.070	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.928	0.072	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.928	0.072	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.928	0.072	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.926	0.074	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.925	0.075	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.925	0.075	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.924	0.076	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.923	0.077	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.921	0.079	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.921	0.079	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.921	0.079	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.919	0.081	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.917	0.083	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.916	0.084	0.000
rs9276606 lBF = `193.378` Chr`6` : `32,736,695`	0.916	0.084	0.000
rs3094694 lBF = `198.27` Chr`6` : `30,451,904`	0.915	0.085	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.910	0.090	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.909	0.091	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.909	0.091	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.909	0.091	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.908	0.092	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.906	0.094	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.905	0.095	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.904	0.096	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.902	0.098	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.902	0.098	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.901	0.099	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.899	0.101	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.899	0.101	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.898	0.102	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.897	0.103	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.896	0.104	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.895	0.105	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.894	0.106	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.891	0.109	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.886	0.114	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.885	0.115	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.884	0.116	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.883	0.117	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.883	0.117	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.882	0.118	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.881	0.119	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.881	0.119	0.000
rs3129939 lBF = `115.58` Chr`6` : `32,336,766`	0.881	0.119	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.880	0.120	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.879	0.121	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.872	0.128	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.872	0.128	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.871	0.129	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.870	0.130	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.865	0.135	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.864	0.136	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.864	0.136	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.864	0.136	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.861	0.139	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.861	0.139	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.860	0.140	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.858	0.142	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.857	0.143	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.850	0.150	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.850	0.150	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.850	0.150	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.847	0.153	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.845	0.155	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.841	0.159	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.840	0.160	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.840	0.160	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.840	0.160	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.839	0.161	0.000
rs1264319 lBF = `221.853` Chr`6` : `30,862,423`	0.837	0.163	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.836	0.164	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.833	0.167	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.828	0.172	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.827	0.173	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.827	0.173	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	0.827	0.173	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.825	0.175	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.825	0.175	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.824	0.176	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.822	0.178	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.822	0.178	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.822	0.178	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.818	0.182	0.000
rs3132579 lBF = `79.6756` Chr`6` : `30,940,989`	0.816	0.184	0.000
rs3094084 lBF = `78.5529` Chr`6` : `30,947,509`	0.815	0.185	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.813	0.187	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.810	0.190	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.807	0.193	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.806	0.194	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.806	0.194	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.803	0.197	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.801	0.199	0.000
rs9276607 lBF = `45.6467` Chr`6` : `32,737,257`	0.800	0.200	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.800	0.200	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.799	0.201	0.000
rs7742654 lBF = `78.9886` Chr`6` : `32,271,443`	0.796	0.204	0.000
rs9276555 lBF = `47.5727` Chr`6` : `32,722,754`	0.794	0.206	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.794	0.206	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.791	0.209	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.791	0.209	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.791	0.209	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.790	0.210	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.788	0.212	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.787	0.213	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.787	0.213	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.785	0.215	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.783	0.217	0.000
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.781	0.219	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.779	0.221	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.778	0.222	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.777	0.223	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.777	0.223	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.774	0.226	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.773	0.227	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.771	0.229	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.769	0.231	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.769	0.231	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.763	0.237	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.762	0.238	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.761	0.239	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.760	0.240	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.759	0.241	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.757	0.243	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.756	0.244	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.753	0.247	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.753	0.247	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.751	0.249	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.749	0.251	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.749	0.251	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.747	0.253	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.747	0.253	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.745	0.254	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.742	0.258	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.740	0.260	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.740	0.260	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.740	0.260	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.738	0.262	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.735	0.265	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.732	0.268	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	0.731	0.269	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.731	0.269	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.730	0.270	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.729	0.271	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.725	0.275	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.724	0.276	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.722	0.278	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.719	0.281	0.000
rs9276432 lBF = `174.327` Chr`6` : `32,712,384`	0.718	0.282	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.717	0.283	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.717	0.283	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.714	0.286	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.714	0.286	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.712	0.288	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.712	0.288	0.000
rs2442744 lBF = `181.524` Chr`6` : `31,345,376`	0.710	0.290	0.000
rs6457536 lBF = `82.0453` Chr`6` : `32,273,765`	0.708	0.292	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.708	0.292	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.708	0.292	0.000
rs3131036 lBF = `180.885` Chr`6` : `30,728,290`	0.707	0.293	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.705	0.295	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.705	0.295	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.703	0.297	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.700	0.300	0.000
Affx-28505362 lBF = `173.151` Chr`6` : `32,729,459`	0.699	0.301	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.698	0.302	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.698	0.302	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.697	0.303	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.697	0.303	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.696	0.304	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.696	0.304	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.695	0.305	0.000
rs9276556 lBF = `47.6167` Chr`6` : `32,723,233`	0.694	0.306	0.000
rs3130309 lBF = `176.728` Chr`6` : `32,215,472`	0.691	0.309	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.691	0.309	0.000
rs62402484 lBF = `15.7618` Chr`6` : `21,913,816`	0.689	0.310	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.687	0.313	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.685	0.315	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.685	0.315	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.685	0.315	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.684	0.316	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.683	0.317	0.000
rs1018433 lBF = `85.4992` Chr`6` : `32,281,510`	0.682	0.318	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.681	0.319	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.680	0.320	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.679	0.321	0.000
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rs202072 lBF = `1.37103` Chr`6` : `13,268,211`	0.000	0.536	0.464
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.462	0.538	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.462	0.538	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.461	0.539	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.460	0.540	0.000
rs7768538 lBF = `173.854` Chr`6` : `32,729,821`	0.459	0.541	0.000
rs28360051 lBF = `9.75413` Chr`6` : `31,142,261`	0.000	0.541	0.459
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.459	0.541	0.000
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	0.458	0.542	0.000
rs3115569 lBF = `76.7928` Chr`6` : `32,224,139`	0.451	0.549	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.450	0.550	0.000
rs2006165 lBF = `170.284` Chr`6` : `32,728,787`	0.450	0.550	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.449	0.551	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.449	0.551	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	0.448	0.552	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.448	0.552	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.448	0.552	0.000
rs75803315 lBF = `6.95989` Chr`6` : `54,030,352`	0.446	0.554	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.446	0.554	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.446	0.554	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.445	0.555	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.445	0.555	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.444	0.555	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.444	0.556	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.444	0.556	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.443	0.557	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.442	0.558	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.442	0.558	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.441	0.559	0.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	0.441	0.559	0.000
rs9268176 lBF = `84.555` Chr`6` : `32,274,079`	0.441	0.559	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.439	0.560	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.440	0.560	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.439	0.561	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.438	0.562	0.000
rs2646928 lBF = `2.13965` Chr`6` : `37,454,827`	0.437	0.562	0.000
rs3749966 lBF = `76.6498` Chr`6` : `32,261,507`	0.437	0.563	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	0.437	0.563	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.437	0.563	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.437	0.563	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.437	0.563	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.436	0.564	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.435	0.565	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.435	0.565	0.000
rs3115563 lBF = `76.6493` Chr`6` : `32,233,638`	0.431	0.569	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.431	0.569	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.430	0.570	0.000
rs2051549 lBF = `174.239` Chr`6` : `32,730,086`	0.429	0.571	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.428	0.572	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.427	0.573	0.000
rs28367590 lBF = `12.8821` Chr`6` : `31,251,057`	0.000	0.574	0.426
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.425	0.575	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.424	0.576	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.424	0.576	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.423	0.577	0.000
rs2859078 lBF = `41.525` Chr`6` : `32,702,449`	0.423	0.577	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.422	0.578	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.422	0.578	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.421	0.578	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.422	0.578	0.000
rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.420	0.580	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.419	0.581	0.000
rs3096674 lBF = `85.1077` Chr`6` : `32,238,219`	0.419	0.581	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.418	0.582	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.418	0.582	0.000
rs2395256 lBF = `171.011` Chr`6` : `32,728,588`	0.417	0.583	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.416	0.584	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	0.416	0.584	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.415	0.585	0.000
rs3115553 lBF = `75.8613` Chr`6` : `32,245,827`	0.415	0.585	0.000
rs7453920 lBF = `174.036` Chr`6` : `32,730,012`	0.412	0.588	0.000
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	0.411	0.589	0.000
rs28367687 lBF = `10.6064` Chr`6` : `31,275,211`	0.000	0.590	0.409
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.409	0.590	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.408	0.592	0.000
rs4248169 lBF = `168.533` Chr`6` : `32,728,554`	0.407	0.593	0.000
rs3096673 lBF = `78.873` Chr`6` : `32,238,013`	0.407	0.593	0.000
rs7753017 lBF = `168.726` Chr`6` : `32,727,325`	0.407	0.593	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.401	0.599	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.401	0.599	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.401	0.599	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.401	0.599	0.000
rs2524074 lBF = `235.669` Chr`6` : `31,244,021`	0.401	0.599	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.400	0.600	0.000
rs115623520 lBF = `16.5137` Chr`6` : `31,518,433`	0.397	0.603	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.396	0.603	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.395	0.604	0.000
rs9275936 lBF = `42.8161` Chr`6` : `32,692,933`	0.393	0.607	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6380

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3222

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2692

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9998

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9996

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9993

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9992

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9987

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9985

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9977

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9960

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9955

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9926

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9917

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9907

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9906

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9900

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9887

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9874

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9873

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9868

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9842

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9839

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9792

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9760

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9740

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9737

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9728

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9727

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9710

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9698

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9564

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9547

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9519

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9483

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9252

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9230

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9161

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9014

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8970

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8948

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8933

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8911

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8907

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8862

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8842

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8786

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8743

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8590

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8280

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8228

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8170

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8152

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8051

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8039

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8005

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7982

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7951

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7897

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7892

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7813

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7795

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7647

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7593

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7472

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7316

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7086

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6874

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6762

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6476

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6247

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6213

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5985

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5933

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5754

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5677

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5645

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5607

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5531

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5194

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5092

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4927

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4923

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4923

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4851

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4814

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4636

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4526

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4481

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4470

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4345

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4192

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4175

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4159

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4134

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4067

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4028

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3928

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3823

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3719

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3688

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3646

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3554

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3494

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3437

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3312

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3283

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3273

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3192

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3159

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3064

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3005

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2960

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2928

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2928

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2878

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2830

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2799

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2753

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2750

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2733

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2638

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2577

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2566

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2541

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2477

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2425

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2359

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2160

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1904

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1692

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1653

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1553

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1524

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1425

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1390

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1344

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1305

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1251

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1217

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1204

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1153

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1111

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1030

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1008

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0983

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0980

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0945

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0933

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0909

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0877

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0752

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0736

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0725

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0712

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0600

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0587

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0580

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0522

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`)