TreeWAS – [C39] Malignant neoplasm of other and ill-defined sites in the respiratory system and intrathoracic organs

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

C39

Malignant neoplasm of other and ill-defined sites in the respiratory system and intrathoracic organs

Parent term	C30-C39 Malignant neoplasms of respiratory and intrathoracic organs
Nested terms	C39.0 Upper respiratory tract, part unspecified C39.8 Overlapping lesion of respiratory and intrathoracic organs C39.9 Ill-defined sites within the respiratory system

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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
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	0.717	0.283	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.717	0.283	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.717	0.283	0.000
rs31490 lBF = `60.3515` Chr`5` : `1,344,458`	0.000	0.283	0.717
rs356971 lBF = `170.044` Chr`6` : `29,979,797`	0.717	0.283	0.000
rs3129012 lBF = `168.733` Chr`6` : `29,988,642`	0.717	0.283	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.717	0.283	0.000
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.283	0.717
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	0.717	0.283	0.000
rs421284 lBF = `60.9669` Chr`5` : `1,325,590`	0.000	0.283	0.717
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.717	0.283	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.717	0.283	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.716	0.283	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.716	0.284	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.716	0.284	0.000
rs7279238 lBF = `6.50081` Chr`21` : `43,092,206`	0.716	0.284	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.716	0.284	0.000
rs31489 lBF = `53.5032` Chr`5` : `1,342,714`	0.000	0.284	0.716
rs4635969 lBF = `16.8431` Chr`5` : `1,308,552`	0.000	0.284	0.716
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.716	0.284	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.716	0.284	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.716	0.284	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.716	0.284	0.000
rs401681 lBF = `60.4564` Chr`5` : `1,322,087`	0.000	0.284	0.716
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.716	0.284	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.716	0.284	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.716	0.284	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.716	0.284	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.716	0.284	0.000
rs4975616 lBF = `52.5674` Chr`5` : `1,315,660`	0.000	0.284	0.716
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	0.716	0.284	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.716	0.284	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.716	0.284	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.716	0.284	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.716	0.284	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.716	0.284	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.716	0.284	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.716	0.284	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.716	0.284	0.000
rs6713543 lBF = `5.72841` Chr`2` : `1,635,176`	0.716	0.284	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.716	0.284	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.715	0.284	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.715	0.284	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.715	0.285	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.715	0.285	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.715	0.285	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.715	0.285	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.715	0.285	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.715	0.285	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.715	0.285	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.715	0.285	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.715	0.285	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.715	0.285	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.715	0.285	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.715	0.285	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.714	0.285	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.714	0.285	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.714	0.286	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.714	0.286	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.714	0.286	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.714	0.286	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.714	0.286	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.714	0.286	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.714	0.286	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.714	0.286	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.714	0.286	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.714	0.286	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.714	0.286	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.714	0.286	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.714	0.286	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.714	0.286	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.714	0.286	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.714	0.286	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.713	0.286	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.713	0.287	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.713	0.287	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.713	0.287	0.000
rs3134944 lBF = `102.616` Chr`6` : `32,146,644`	0.713	0.287	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.713	0.287	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.713	0.287	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.713	0.287	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.713	0.287	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.713	0.287	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.713	0.287	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.713	0.287	0.000
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	0.713	0.287	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.713	0.287	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.713	0.287	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.713	0.287	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.713	0.287	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.713	0.287	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.713	0.287	0.000
Affx-28409853 lBF = `109.467` Chr`6` : `29,811,131`	0.713	0.287	0.000
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.712	0.287	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.712	0.288	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.712	0.288	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.712	0.288	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.712	0.288	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.712	0.288	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.712	0.288	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.712	0.288	0.000
rs2844796 lBF = `127.837` Chr`6` : `30,072,511`	0.712	0.288	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.712	0.288	0.000
rs2736098 lBF = `34.4547` Chr`5` : `1,294,086`	0.712	0.288	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.712	0.288	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.712	0.288	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.712	0.288	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.712	0.288	0.000
rs1799796 lBF = `7.32489` Chr`14` : `104,165,927`	0.712	0.288	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.712	0.288	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.711	0.288	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.711	0.288	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.711	0.288	0.000
rs2736108 lBF = `39.4002` Chr`5` : `1,297,488`	0.711	0.288	0.000
rs4906356 lBF = `7.54691` Chr`14` : `104,138,701`	0.711	0.289	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.711	0.289	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.711	0.289	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.711	0.289	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.711	0.289	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.711	0.289	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.711	0.289	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.711	0.289	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.711	0.289	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.711	0.289	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.711	0.289	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.711	0.289	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.711	0.289	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.711	0.289	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.711	0.289	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.711	0.289	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.711	0.289	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.711	0.289	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.711	0.289	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.711	0.289	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.710	0.289	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.710	0.289	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.710	0.290	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.710	0.290	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.710	0.290	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.710	0.290	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.710	0.290	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.710	0.290	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.710	0.290	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.710	0.290	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.710	0.290	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.710	0.290	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.710	0.290	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.710	0.290	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.710	0.290	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.710	0.290	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.710	0.290	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.710	0.290	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.710	0.290	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.710	0.290	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.709	0.290	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.709	0.290	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.709	0.291	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.709	0.291	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	0.709	0.291	0.000
rs1611133 lBF = `107.143` Chr`6` : `29,809,382`	0.709	0.291	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.709	0.291	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.709	0.291	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.709	0.291	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.709	0.291	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.709	0.291	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.709	0.291	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.709	0.291	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.709	0.291	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.709	0.291	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.709	0.291	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.709	0.291	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.708	0.291	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.708	0.291	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.708	0.291	0.000
rs3131297 lBF = `98.8204` Chr`6` : `32,141,005`	0.708	0.292	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.708	0.292	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.708	0.292	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.708	0.292	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.708	0.292	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.708	0.292	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.708	0.292	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.708	0.292	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.708	0.292	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.708	0.292	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.708	0.292	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.708	0.292	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.708	0.292	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.708	0.292	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.708	0.292	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.708	0.292	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.707	0.292	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.707	0.292	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.707	0.293	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.707	0.293	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.707	0.293	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.707	0.293	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.707	0.293	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.707	0.293	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.707	0.293	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.707	0.293	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.707	0.293	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.707	0.293	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.707	0.293	0.000
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rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.690	0.310	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.690	0.310	0.000
rs111461772 lBF = `26.9073` Chr`6` : `33,373,953`	0.690	0.310	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.690	0.310	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.690	0.310	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.690	0.310	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.689	0.310	0.000
rs501220 lBF = `90.8209` Chr`6` : `25,873,025`	0.689	0.311	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.689	0.311	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.689	0.311	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.689	0.311	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.689	0.311	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.689	0.311	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.689	0.311	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.689	0.311	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.689	0.311	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.689	0.311	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.689	0.311	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.689	0.311	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.689	0.311	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.688	0.312	0.000
rs9276555 lBF = `47.5727` Chr`6` : `32,722,754`	0.688	0.312	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.688	0.312	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.688	0.312	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.688	0.312	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.688	0.312	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.688	0.312	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.688	0.312	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.688	0.312	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.687	0.312	0.000
rs72849247 lBF = `90.4818` Chr`6` : `32,453,194`	0.015	0.312	0.673
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.687	0.312	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.687	0.312	0.000
rs548987 lBF = `92.1448` Chr`6` : `25,869,371`	0.687	0.313	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.687	0.313	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.687	0.313	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.687	0.313	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.687	0.313	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.687	0.313	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.687	0.313	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.687	0.313	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.687	0.313	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.686	0.313	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.686	0.313	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.686	0.313	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.686	0.314	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.686	0.314	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.686	0.314	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.686	0.314	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.686	0.314	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.685	0.314	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.685	0.315	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.685	0.315	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.685	0.315	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.685	0.315	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.685	0.315	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.685	0.315	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.685	0.315	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.685	0.315	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.685	0.315	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.685	0.315	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.685	0.315	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.684	0.315	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.684	0.316	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.684	0.316	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.684	0.316	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.684	0.316	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.684	0.316	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.684	0.316	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.684	0.316	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.684	0.316	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.684	0.316	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.684	0.316	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.684	0.316	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.683	0.316	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.683	0.316	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.683	0.316	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.683	0.317	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.683	0.317	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.683	0.317	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.683	0.317	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.683	0.317	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.683	0.317	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.683	0.317	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.683	0.317	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.683	0.317	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.683	0.317	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.683	0.317	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.683	0.317	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.682	0.318	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.682	0.318	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.682	0.318	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.7162

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6000

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2469

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1884

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7169

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 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 X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7169

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.7169

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7169

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7169

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7168

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7168

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7167

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7167

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7167

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7167

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7167

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7166

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7166

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7166

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7165

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7164

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7163

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7161

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7160

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7153

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7147

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7140

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7138

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7137

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7136

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7132

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7132

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7124

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7123

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7120

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7119

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.7116

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7115

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7113

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7111

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7110

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7094

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7087

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7082

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7079

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7065

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7064

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7063

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7059

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7059

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7057

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7053

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7028

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7016

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7005

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6978

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6975

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6952

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6943

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6933

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6917

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6898

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6887

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6880

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6876

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6873

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6835

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6793

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6787

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6752

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6742

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6739

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6718

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6691

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6677

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6668

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6666

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6665

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6645

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6644

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6621

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6611

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6593

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6593

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6590

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6552

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6549

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6526

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6525

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6503

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6502

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.6475

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6472

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6445

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6443

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6356

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6345

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6343

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6318

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6282

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6271

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6248

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6237

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6184

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6145

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6119

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6113

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6099

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6043

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5996

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5968

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5954

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5951

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5931

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5893

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5828

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5778

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5770

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5709

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5697

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5678

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5644

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5636

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5599

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5572

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5548

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5532

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5527

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5523

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5459

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5426

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5398

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5379

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5373

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5323

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5243

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5237

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5215

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5180

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5135

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5028

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5009

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4924

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4912

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4892

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4858

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4853

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4775

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4751

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.4749

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4732

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4714

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4675

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4632

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4589

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4577

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4574

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4542

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4499

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4395

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4354

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4328

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4256

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4231

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4150

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4130

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4119

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3979

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3947

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3933

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3909

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3901

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3886

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3883

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3856

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3808

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3722

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.3684

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3666

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3603

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3514

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3493

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3477

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3396

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3378

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3371

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3365

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3360

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3270

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3211

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3133

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3124

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3057

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3025

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2882

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2811

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2318

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.1379

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1172

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1112

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0800

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`)