TreeWAS – [B85-B89] Pediculosis, acariasis and other infestations

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

B85-B89

Pediculosis, acariasis and other infestations

Parent term	Chapter I Certain infectious and parasitic diseases
Nested terms	B86 Scabies B89 Unspecified parasitic disease B85 Pediculosis and phthiriasis B87 Myiasis B88 Other infestations

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Variant effects

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.810	0.190	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.805	0.195	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.800	0.199	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.799	0.201	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.793	0.207	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.793	0.207	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.791	0.209	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.791	0.209	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.784	0.216	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.783	0.217	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.783	0.217	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.782	0.218	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.780	0.220	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.779	0.221	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.777	0.223	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.777	0.223	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.777	0.223	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.775	0.225	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.775	0.225	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.775	0.225	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.775	0.225	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.775	0.225	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.775	0.225	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.775	0.225	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.774	0.226	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.774	0.226	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.774	0.226	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.774	0.226	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.773	0.227	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.773	0.227	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.772	0.228	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.772	0.228	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.772	0.228	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.771	0.229	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.771	0.229	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.771	0.229	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.771	0.229	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.771	0.229	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.771	0.229	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.771	0.229	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.771	0.229	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.771	0.229	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.771	0.229	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.770	0.230	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.770	0.230	0.000
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.768	0.232	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.768	0.232	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.768	0.232	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.768	0.232	0.000
rs2050189 lBF = `49.4345` Chr`6` : `32,339,647`	0.767	0.232	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.767	0.233	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.766	0.234	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.765	0.235	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.765	0.235	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.765	0.235	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.765	0.235	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.764	0.236	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.763	0.236	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.763	0.237	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.763	0.237	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.763	0.237	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.761	0.239	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.761	0.239	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.761	0.239	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.760	0.240	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.760	0.240	0.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	0.759	0.241	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.757	0.243	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.756	0.244	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.756	0.244	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.755	0.245	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.755	0.245	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.755	0.245	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.755	0.245	0.000
rs3130474 lBF = `215.089` Chr`6` : `31,199,256`	0.754	0.246	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.754	0.246	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.753	0.247	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.753	0.247	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.751	0.249	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.751	0.249	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.750	0.249	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.750	0.250	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.750	0.250	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.750	0.250	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.750	0.250	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.750	0.250	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.749	0.250	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.749	0.250	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.749	0.250	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.749	0.251	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.749	0.251	0.000
rs9276915 lBF = `130.737` Chr`6` : `32,865,911`	0.749	0.251	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.749	0.251	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.749	0.251	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.749	0.251	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.749	0.251	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.749	0.251	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.749	0.251	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.749	0.251	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.748	0.251	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.748	0.251	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.748	0.251	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.748	0.252	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.748	0.252	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.748	0.252	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.748	0.252	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.748	0.252	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.748	0.252	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.748	0.252	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.748	0.252	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.748	0.252	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.748	0.252	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.748	0.252	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.748	0.252	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.748	0.252	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.748	0.252	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.748	0.252	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.748	0.252	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.748	0.252	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.748	0.252	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.748	0.252	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.748	0.252	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.748	0.252	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.747	0.253	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.747	0.253	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.747	0.253	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.747	0.253	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.747	0.253	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.747	0.253	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.747	0.253	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.747	0.253	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.746	0.253	0.000
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.746	0.254	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.746	0.254	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.746	0.254	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.745	0.254	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.745	0.254	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.745	0.255	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.745	0.255	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.745	0.255	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.744	0.255	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.744	0.256	0.000
rs3129939 lBF = `115.58` Chr`6` : `32,336,766`	0.744	0.256	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.744	0.256	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.744	0.256	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.744	0.256	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.744	0.256	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.744	0.256	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.743	0.256	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.743	0.257	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.743	0.257	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.743	0.257	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.742	0.257	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.742	0.258	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.742	0.258	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.742	0.258	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.742	0.258	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.742	0.258	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.741	0.259	0.000
rs2395106 lBF = `54.9559` Chr`6` : `32,193,220`	0.000	0.259	0.741
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.741	0.259	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.741	0.259	0.000
rs9267845 lBF = `54.0602` Chr`6` : `32,193,698`	0.000	0.259	0.741
rs1265112 lBF = `219.091` Chr`6` : `31,118,019`	0.741	0.259	0.000
rs746647 lBF = `217.115` Chr`6` : `31,114,182`	0.741	0.259	0.000
rs9268202 lBF = `81.6138` Chr`6` : `32,279,340`	0.741	0.259	0.000
rs1265078 lBF = `216.001` Chr`6` : `31,112,602`	0.741	0.259	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.740	0.259	0.000
rs1265114 lBF = `217.1` Chr`6` : `31,117,188`	0.740	0.259	0.000
rs3096691 lBF = `52.4329` Chr`6` : `32,194,854`	0.000	0.259	0.740
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.740	0.260	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.740	0.260	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.740	0.260	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.740	0.260	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.740	0.260	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.740	0.260	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.740	0.260	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.740	0.260	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.739	0.260	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.739	0.261	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.739	0.261	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.739	0.261	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.739	0.261	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.739	0.261	0.000
rs1576 lBF = `215.338` Chr`6` : `31,110,391`	0.739	0.261	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.738	0.262	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.738	0.262	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.738	0.262	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.738	0.262	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.738	0.262	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.738	0.262	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.738	0.262	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.738	0.262	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.738	0.262	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.737	0.263	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.737	0.263	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.737	0.263	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.737	0.263	0.000
rs3130467 lBF = `258.483` Chr`6` : `31,187,075`	0.737	0.263	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.737	0.263	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.737	0.263	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	0.737	0.263	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.736	0.264	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.736	0.264	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.736	0.264	0.000
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rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.717	0.283	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.717	0.283	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.717	0.283	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.717	0.283	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.717	0.283	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.717	0.283	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.717	0.283	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.717	0.283	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.717	0.283	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.717	0.283	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.717	0.283	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.717	0.283	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.717	0.283	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.717	0.283	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.717	0.283	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.717	0.283	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.717	0.283	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.717	0.283	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.717	0.283	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.717	0.283	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.717	0.283	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.717	0.283	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.717	0.283	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.717	0.283	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.717	0.283	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.717	0.283	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.717	0.283	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.717	0.283	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.717	0.283	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.717	0.283	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.717	0.283	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.717	0.283	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.717	0.283	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.717	0.283	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.717	0.283	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.717	0.283	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.717	0.283	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.717	0.283	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.717	0.283	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.717	0.283	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.717	0.283	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.717	0.283	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.717	0.283	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.717	0.283	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.717	0.283	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.717	0.283	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.717	0.283	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.717	0.283	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.717	0.283	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.717	0.283	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.717	0.283	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.717	0.283	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.717	0.283	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.717	0.283	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.717	0.283	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.717	0.283	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.717	0.283	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.717	0.283	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.717	0.283	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.717	0.283	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.717	0.283	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.717	0.283	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.717	0.283	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.717	0.283	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.717	0.283	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.717	0.283	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.717	0.283	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.717	0.283	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.717	0.283	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.717	0.283	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.717	0.283	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.717	0.283	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.717	0.283	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.717	0.283	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.717	0.283	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.717	0.283	0.000
rs2523454 lBF = `206.037` Chr`6` : `31,367,865`	0.717	0.283	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.717	0.283	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.717	0.283	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.717	0.283	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.717	0.283	0.000
rs1018434 lBF = `86.6385` Chr`6` : `32,281,360`	0.717	0.283	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.716	0.283	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.716	0.283	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.716	0.283	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.716	0.283	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.716	0.283	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.716	0.283	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.716	0.283	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.716	0.283	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.716	0.283	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

0.5656

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4060

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3422

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9085

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8244

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8161

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8011

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7978

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7862

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7818

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7732

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7234

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7169

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7169

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7169

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7169

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7169

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7169

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7169

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7169

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7169

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7169

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7169

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7169

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7169

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7169

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7169

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7169

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7169

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7169

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7169

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7169

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7169

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7169

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7169

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7169

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7169

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7169

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7169

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7169

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7169

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7169

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7169

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7169

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7169

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7169

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7169

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7169

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7169

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7169

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7169

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7169

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7169

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7168

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7168

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7168

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7167

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7167

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7166

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7166

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7166

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7164

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7158

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7153

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7150

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7146

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7144

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7143

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7136

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7135

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7133

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7119

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7117

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7104

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7088

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7063

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7051

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7034

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7022

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6857

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6854

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6847

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6835

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6823

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6806

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6796

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6714

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6702

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6642

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6016

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5782

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5772

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4550

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3105

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2835

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2656

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2167

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2064

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1946

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1551

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1544

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1129

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0922

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0712

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0630

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)