TreeWAS – [G32] Other degenerative disorders of nervous system in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

G32

Other degenerative disorders of nervous system in diseases classified elsewhere

Parent term	G30-G32 Other degenerative diseases of the nervous system
Nested terms	G32.0 Subacute combined degeneration of spinal cord in diseases classified elsewhere G32.8 Other specified degenerative disorders of nervous system in diseases classified elsewhere

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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
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.843	0.157	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.840	0.160	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.835	0.165	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.834	0.166	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.821	0.179	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.809	0.191	0.000
rs659445 lBF = `187.083` Chr`6` : `31,864,304`	0.796	0.204	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.795	0.205	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.794	0.206	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.793	0.207	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.793	0.207	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.792	0.208	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.788	0.212	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.787	0.213	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.786	0.214	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.782	0.218	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.782	0.218	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.781	0.219	0.000
rs486416 lBF = `185.353` Chr`6` : `31,856,070`	0.781	0.219	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.781	0.219	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.780	0.220	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.780	0.220	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.780	0.220	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.780	0.220	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.776	0.224	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.776	0.224	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.776	0.224	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.775	0.224	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.775	0.225	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.775	0.225	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.774	0.226	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.770	0.229	0.000
rs535586 lBF = `187.866` Chr`6` : `31,860,337`	0.770	0.230	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.770	0.230	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.769	0.231	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.769	0.231	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.769	0.231	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.768	0.232	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.768	0.232	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.767	0.232	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.767	0.233	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.767	0.233	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.767	0.233	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.766	0.233	0.000
rs605203 lBF = `185.516` Chr`6` : `31,847,012`	0.766	0.234	0.000
rs2734980 lBF = `103.395` Chr`6` : `29,821,896`	0.765	0.235	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.765	0.235	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.765	0.235	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.764	0.236	0.000
rs2517870 lBF = `101.883` Chr`6` : `29,818,744`	0.763	0.236	0.000
rs2508037 lBF = `103.422` Chr`6` : `29,918,436`	0.763	0.237	0.000
rs417162 lBF = `103.393` Chr`6` : `29,916,505`	0.763	0.237	0.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	0.762	0.238	0.000
rs376646 lBF = `102.081` Chr`6` : `29,914,377`	0.762	0.238	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.762	0.238	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.762	0.238	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.760	0.240	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.758	0.242	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.757	0.243	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.756	0.244	0.000
rs2734985 lBF = `103.334` Chr`6` : `29,818,662`	0.755	0.245	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.755	0.245	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.755	0.245	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.755	0.245	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.755	0.245	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.754	0.246	0.000
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	0.754	0.246	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.754	0.246	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.754	0.246	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.754	0.246	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.753	0.246	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.753	0.247	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.753	0.247	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.753	0.247	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.753	0.247	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.752	0.248	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.752	0.248	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.752	0.248	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.751	0.249	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.751	0.249	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.750	0.250	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.750	0.250	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.750	0.250	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.749	0.250	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.749	0.250	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.749	0.251	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.749	0.251	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.748	0.252	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.748	0.252	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.748	0.252	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.748	0.252	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.747	0.253	0.000
rs3129012 lBF = `168.733` Chr`6` : `29,988,642`	0.746	0.253	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.745	0.254	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.745	0.254	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.745	0.254	0.000
rs2246954 lBF = `124.205` Chr`6` : `31,265,262`	0.745	0.255	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.745	0.255	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.744	0.255	0.000
rs356971 lBF = `170.044` Chr`6` : `29,979,797`	0.744	0.256	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.743	0.257	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	0.743	0.257	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.743	0.257	0.000
rs9260112 lBF = `99.5353` Chr`6` : `29,909,918`	0.742	0.258	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.742	0.258	0.000
rs3094121 lBF = `184.849` Chr`6` : `30,730,960`	0.742	0.258	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.741	0.259	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.740	0.260	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.739	0.261	0.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.261	0.739
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.739	0.261	0.000
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	0.738	0.262	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.738	0.262	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.737	0.262	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.737	0.263	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.736	0.264	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.736	0.264	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.736	0.264	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.735	0.264	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.734	0.266	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.734	0.266	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.733	0.267	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	0.733	0.267	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.733	0.267	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.732	0.268	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.732	0.268	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.732	0.268	0.000
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	0.731	0.269	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.730	0.270	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.730	0.270	0.000
rs2523589 lBF = `129.09` Chr`6` : `31,327,334`	0.000	0.271	0.729
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.728	0.272	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.728	0.272	0.000
rs3096681 lBF = `77.0179` Chr`6` : `32,235,177`	0.728	0.272	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.727	0.273	0.000
rs3115572 lBF = `176.853` Chr`6` : `32,220,484`	0.727	0.273	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.727	0.273	0.000
rs10119 lBF = `49.8817` Chr`19` : `45,406,673`	0.727	0.273	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.726	0.274	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.725	0.275	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.723	0.277	0.000
rs3130309 lBF = `176.728` Chr`6` : `32,215,472`	0.722	0.278	0.000
rs3864302 lBF = `77.5578` Chr`6` : `32,278,792`	0.721	0.279	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	0.720	0.280	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.720	0.280	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.720	0.280	0.000
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	0.719	0.281	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.719	0.281	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.719	0.281	0.000
rs7751896 lBF = `75.8342` Chr`6` : `32,255,410`	0.719	0.281	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.719	0.281	0.000
rs1049281 lBF = `198.992` Chr`6` : `31,236,567`	0.718	0.282	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.717	0.283	0.000
rs3115553 lBF = `75.8613` Chr`6` : `32,245,827`	0.717	0.283	0.000
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.717	0.283	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.717	0.283	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.717	0.283	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	0.716	0.283	0.000
rs3130481 lBF = `107.187` Chr`6` : `31,839,756`	0.716	0.283	0.000
rs2524054 lBF = `252.073` Chr`6` : `31,252,396`	0.000	0.284	0.716
rs9264643 lBF = `205.849` Chr`6` : `31,238,492`	0.716	0.284	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.716	0.284	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.714	0.285	0.000
rs6909427 lBF = `79.0866` Chr`6` : `32,268,701`	0.714	0.286	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.713	0.286	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.713	0.287	0.000
rs3115560 lBF = `76.4939` Chr`6` : `32,236,142`	0.713	0.287	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.713	0.287	0.000
rs3130340 lBF = `76.5037` Chr`6` : `32,244,627`	0.712	0.288	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.712	0.288	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	0.711	0.288	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.711	0.289	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.711	0.289	0.000
rs7767325 lBF = `77.4929` Chr`6` : `32,233,886`	0.710	0.289	0.000
rs3115569 lBF = `76.7928` Chr`6` : `32,224,139`	0.710	0.290	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.710	0.290	0.000
rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	0.710	0.290	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.709	0.291	0.000
rs9260489 lBF = `97.3753` Chr`6` : `29,920,332`	0.000	0.291	0.709
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.709	0.291	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	0.708	0.291	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.708	0.291	0.000
rs3132928 lBF = `75.6443` Chr`6` : `32,234,015`	0.707	0.293	0.000
Affx-28409853 lBF = `109.467` Chr`6` : `29,811,131`	0.707	0.293	0.000
rs3130316 lBF = `174.356` Chr`6` : `32,221,228`	0.707	0.293	0.000
rs3749966 lBF = `76.6498` Chr`6` : `32,261,507`	0.707	0.293	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.706	0.294	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.704	0.296	0.000
rs1130838 lBF = `200.175` Chr`6` : `31,237,124`	0.704	0.296	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.703	0.297	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.703	0.297	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.703	0.297	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.703	0.297	0.000
rs3096673 lBF = `78.873` Chr`6` : `32,238,013`	0.702	0.298	0.000
rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.702	0.298	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.701	0.299	0.000
rs2517713 lBF = `96.1363` Chr`6` : `29,918,099`	0.000	0.299	0.701
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.701	0.299	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.700	0.300	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.700	0.300	0.000
rs6935269 lBF = `77.7504` Chr`6` : `32,260,350`	0.699	0.301	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.698	0.301	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.698	0.302	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.698	0.302	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.697	0.302	0.000
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rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.661	0.339	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.661	0.339	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.661	0.339	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.660	0.340	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.660	0.340	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.660	0.340	0.000
rs2272592 lBF = `130.912` Chr`6` : `31,698,352`	0.660	0.340	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.659	0.340	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.659	0.341	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.659	0.341	0.000
rs3129996 lBF = `31.5544` Chr`6` : `30,651,587`	0.659	0.341	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.659	0.341	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.658	0.341	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.658	0.341	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.658	0.342	0.000
rs3094055 lBF = `42.0661` Chr`6` : `30,332,146`	0.658	0.342	0.000
rs2857600 lBF = `118.19` Chr`6` : `31,582,287`	0.658	0.342	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.658	0.342	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.658	0.342	0.000
rs3096674 lBF = `85.1077` Chr`6` : `32,238,219`	0.658	0.342	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.658	0.342	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.657	0.342	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.657	0.342	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.657	0.343	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.657	0.343	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.657	0.343	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.656	0.344	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.656	0.344	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.656	0.344	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.656	0.344	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.656	0.344	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.656	0.344	0.000
rs3132587 lBF = `33.2365` Chr`6` : `30,685,066`	0.656	0.344	0.000
rs71559084 lBF = `132.261` Chr`6` : `28,436,668`	0.655	0.344	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.655	0.345	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.655	0.345	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.655	0.345	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.655	0.345	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.655	0.345	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.654	0.346	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.654	0.346	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.654	0.346	0.000
rs2524095 lBF = `148.829` Chr`6` : `31,266,117`	0.653	0.347	0.000
rs2243868 lBF = `154.689` Chr`6` : `31,261,276`	0.653	0.347	0.000
rs644827 lBF = `129.081` Chr`6` : `31,838,441`	0.653	0.347	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.653	0.347	0.000
rs3129066 lBF = `82.121` Chr`6` : `29,668,537`	0.653	0.347	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.653	0.347	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.653	0.347	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.653	0.347	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.653	0.347	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.653	0.347	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.652	0.348	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.652	0.348	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.652	0.348	0.000
rs2242665 lBF = `128.069` Chr`6` : `31,839,309`	0.652	0.348	0.000
rs362538 lBF = `87.6033` Chr`6` : `29,510,630`	0.652	0.348	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.652	0.348	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.651	0.349	0.000
rs9268137 lBF = `85.7285` Chr`6` : `32,255,269`	0.651	0.349	0.000
rs9260761 lBF = `65.1425` Chr`6` : `29,935,469`	0.651	0.349	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.650	0.349	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.650	0.349	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.650	0.350	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.650	0.350	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.650	0.350	0.000
rs3130361 lBF = `40.0053` Chr`6` : `30,339,564`	0.650	0.350	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.650	0.350	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.650	0.350	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.650	0.350	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.649	0.351	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.649	0.351	0.000
rs6915455 lBF = `82.932` Chr`6` : `32,283,494`	0.649	0.351	0.000
rs2524005 lBF = `110.105` Chr`6` : `29,899,677`	0.649	0.351	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.649	0.351	0.000
rs9263927 lBF = `154.559` Chr`6` : `31,178,233`	0.649	0.351	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.649	0.351	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.649	0.351	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.648	0.351	0.000
rs9268197 lBF = `84.1219` Chr`6` : `32,277,934`	0.648	0.351	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.648	0.352	0.000
rs3130071 lBF = `117.396` Chr`6` : `31,594,628`	0.648	0.352	0.000
rs9263980 lBF = `154.685` Chr`6` : `31,188,397`	0.648	0.352	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.648	0.352	0.000
rs3132129 lBF = `68.6594` Chr`6` : `30,027,860`	0.648	0.352	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.648	0.352	0.000
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.648	0.352	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.647	0.352	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.647	0.352	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.647	0.353	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5564

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3751

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1047

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.7690

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7169

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7168

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7168

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7168

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7167

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7165

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7165

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7165

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7162

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7162

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7161

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7160

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7160

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7155

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7149

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7141

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7139

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7139

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7134

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7133

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7129

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7128

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7125

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7124

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7123

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7114

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7109

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7109

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7108

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7097

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7095

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7087

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7082

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7077

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7072

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7070

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7068

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7068

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7046

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7035

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7015

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7012

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7010

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6990

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6990

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6981

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6963

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6960

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6947

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6936

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6929

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6922

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6914

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6903

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6893

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6893

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6875

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6841

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6826

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6818

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6808

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6806

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6800

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6796

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6795

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6781

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6780

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6759

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6757

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6747

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6732

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6726

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6700

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6653

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6629

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6628

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6616

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6598

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6593

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6591

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6579

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6574

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6554

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6513

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6512

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6463

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6463

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6447

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6444

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6397

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6382

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6377

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6344

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6327

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6303

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6302

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6299

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6295

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6234

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6229

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6151

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6125

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6109

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6109

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6071

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6048

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6040

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6012

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5970

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5949

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5939

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5894

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5886

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5824

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5809

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5808

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5807

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5776

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5773

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5772

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5750

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5720

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5716

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5660

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5585

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5583

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5580

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5548

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5521

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5483

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5473

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5465

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5397

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5386

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5378

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5349

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5326

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5306

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5297

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5275

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5252

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5238

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5208

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5160

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5137

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5120

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5068

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5036

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5030

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5001

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4988

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4972

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4942

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4940

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4933

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.4909

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4898

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4887

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4865

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4738

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4723

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4701

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4686

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4654

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4525

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4494

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4485

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4480

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4449

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4440

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4420

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4195

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4190

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4178

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4176

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4149

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4123

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4059

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4051

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4013

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3995

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3952

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3807

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3787

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3780

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3619

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3614

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3568

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3480

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3467

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3436

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3432

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3389

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3314

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3286

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3091

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2977

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2927

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2762

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2578

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2576

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2514

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2500

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2495

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2440

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2425

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1568

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1085

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0756

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0613

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`)