TreeWAS – [N22] Calculus of urinary tract in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N22

Calculus of urinary tract in diseases classified elsewhere

Parent term	N20-N23 Urolithiasis
Nested terms	N22.0 Calculus of urinary tract in schistosomiasis [bilharziasis] N22.8 Calculus of urinary tract in other 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
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.717	0.283	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.717	0.283	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.717	0.283	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.717	0.283	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.717	0.283	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.717	0.283	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.717	0.283	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.000	0.283	0.717
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.717	0.283	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.717	0.283	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.717	0.283	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.717	0.283	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.716	0.283	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.716	0.283	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.716	0.283	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.716	0.283	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.716	0.284	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.716	0.284	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.716	0.284	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.716	0.284	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.716	0.284	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.716	0.284	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.716	0.284	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.716	0.284	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.716	0.284	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.716	0.284	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.716	0.284	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.716	0.284	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.716	0.284	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.716	0.284	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.000	0.284	0.715
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.715	0.284	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.715	0.284	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.715	0.285	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.715	0.285	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.715	0.285	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.715	0.285	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.715	0.285	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.715	0.285	0.000
rs11965214 lBF = `60.7415` Chr`6` : `30,647,005`	0.715	0.285	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.715	0.285	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.715	0.285	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.715	0.285	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.715	0.285	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.715	0.285	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.715	0.285	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.715	0.285	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.714	0.285	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.714	0.285	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.714	0.286	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.714	0.286	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.714	0.286	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.714	0.286	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.714	0.286	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.714	0.286	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.714	0.286	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.714	0.286	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.713	0.286	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.713	0.286	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.713	0.287	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.713	0.287	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.713	0.287	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.713	0.287	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.713	0.287	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.713	0.287	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.000	0.287	0.713
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.713	0.287	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.713	0.287	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.713	0.287	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.713	0.287	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.713	0.287	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.713	0.287	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.713	0.287	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.713	0.287	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.713	0.287	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.713	0.287	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.713	0.287	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.713	0.287	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.713	0.287	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.712	0.287	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.712	0.287	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.712	0.288	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.712	0.288	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.712	0.288	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.712	0.288	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.712	0.288	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.712	0.288	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.712	0.288	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.712	0.288	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.712	0.288	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.712	0.288	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.712	0.288	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.712	0.288	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.712	0.288	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.711	0.288	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.711	0.289	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.711	0.289	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.711	0.289	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.711	0.289	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.711	0.289	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.711	0.289	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.711	0.289	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.711	0.289	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.711	0.289	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.711	0.289	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.711	0.289	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.711	0.289	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.711	0.289	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.711	0.289	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.711	0.289	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.711	0.289	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.710	0.289	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.710	0.289	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.710	0.290	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.710	0.290	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.710	0.290	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.710	0.290	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.710	0.290	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.710	0.290	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.710	0.290	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.710	0.290	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.709	0.290	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.709	0.291	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.709	0.291	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.709	0.291	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.708	0.291	0.000
rs9468487 lBF = `19.8045` Chr`6` : `29,107,052`	0.708	0.292	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.708	0.292	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.708	0.292	0.000
rs10265221 lBF = `3.66302` Chr`7` : `151,414,329`	0.000	0.292	0.708
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.708	0.292	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.708	0.292	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.708	0.292	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.707	0.292	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.707	0.292	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.707	0.292	0.000
rs621701 lBF = `16.5768` Chr`6` : `31,903,121`	0.707	0.293	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.707	0.293	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.707	0.293	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.707	0.293	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.707	0.293	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.707	0.293	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.707	0.293	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.707	0.293	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.707	0.293	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.706	0.293	0.000
rs10224002 lBF = `3.65483` Chr`7` : `151,415,041`	0.000	0.294	0.706
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.706	0.294	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.706	0.294	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.706	0.294	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.706	0.294	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.706	0.294	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.706	0.294	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.705	0.294	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.705	0.295	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.705	0.295	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.705	0.295	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.705	0.295	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.705	0.295	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.705	0.295	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.705	0.295	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.705	0.295	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.705	0.295	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.705	0.295	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.705	0.295	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.705	0.295	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.704	0.295	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.704	0.295	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.704	0.296	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.704	0.296	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.704	0.296	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.704	0.296	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.704	0.296	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.704	0.296	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.704	0.296	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.704	0.296	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.704	0.296	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.703	0.297	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.703	0.297	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.703	0.297	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.703	0.297	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.703	0.297	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.702	0.297	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.701	0.298	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.701	0.298	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.701	0.299	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.701	0.299	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.701	0.299	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	0.300	0.700
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.700	0.300	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.700	0.300	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.700	0.300	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.700	0.300	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.699	0.301	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.699	0.301	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.698	0.302	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.698	0.302	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.697	0.302	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.697	0.302	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.697	0.303	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.697	0.303	0.000
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rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.640	0.360	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.640	0.360	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.640	0.360	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.639	0.361	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.639	0.361	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.639	0.361	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.639	0.361	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.639	0.361	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.638	0.362	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.638	0.362	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.638	0.362	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.637	0.363	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.637	0.363	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.636	0.364	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.636	0.364	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.636	0.364	0.000
rs17033506 lBF = `6.61563` Chr`3` : `35,639,826`	0.635	0.365	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.635	0.365	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.635	0.365	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.635	0.365	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.635	0.365	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.634	0.365	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.634	0.366	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.633	0.367	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.632	0.367	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.632	0.368	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.632	0.368	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.632	0.368	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.632	0.368	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.631	0.368	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.631	0.369	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.630	0.370	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.629	0.370	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.629	0.371	0.000
rs185275068 lBF = `3.56551` Chr`1` : `239,607,289`	0.629	0.371	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.628	0.372	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.628	0.372	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.628	0.372	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.628	0.372	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.628	0.372	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.627	0.373	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.627	0.373	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.627	0.373	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.627	0.373	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.627	0.373	0.000
rs17881233 lBF = `16.4571` Chr`6` : `31,323,745`	0.627	0.373	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.626	0.373	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.626	0.374	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.625	0.375	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.625	0.375	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.625	0.375	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.625	0.375	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.625	0.375	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.624	0.376	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.624	0.376	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.624	0.376	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.624	0.376	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.624	0.376	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.624	0.376	0.000
rs79223353 lBF = `0.90905` Chr`3` : `123,139,863`	0.623	0.377	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.623	0.377	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.622	0.377	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.622	0.378	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.621	0.378	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.621	0.379	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.621	0.379	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.620	0.380	0.000
rs1481012 lBF = `25.0033` Chr`4` : `89,039,082`	0.619	0.380	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.619	0.380	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.619	0.381	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.619	0.381	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.618	0.381	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.000	0.382	0.618
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.618	0.382	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.618	0.382	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.618	0.382	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.618	0.382	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.618	0.382	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.617	0.382	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.617	0.383	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.617	0.383	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.616	0.383	0.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	0.616	0.383	0.000
rs13217108 lBF = `12.4741` Chr`6` : `31,795,140`	0.616	0.384	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.615	0.385	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.615	0.385	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.615	0.385	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.615	0.385	0.000
rs4148155 lBF = `25.1893` Chr`4` : `89,054,667`	0.614	0.385	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.614	0.386	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.614	0.386	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.613	0.386	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.613	0.386	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.613	0.387	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.613	0.387	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.612	0.388	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.612	0.388	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

0.6591

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2544

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.7168

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7168

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7166

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7165

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7159

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7157

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7137

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7128

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7125

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7119

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7054

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7046

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7016

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6982

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6882

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6681

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6641

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6623

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6543

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6459

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6424

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6281

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6252

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6226

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5830

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5693

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5562

Cluster X0031

log Bayes Factor = 111.103

contains 3 variants

0.5550

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5487

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5458

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5325

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5292

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5265

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5018

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4997

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4750

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4596

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4344

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4289

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4289

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4269

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4231

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4119

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4068

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3657

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3387

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3302

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3282

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3270

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3251

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3218

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3055

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2757

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2698

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2691

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2672

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2661

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2573

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2366

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2261

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2075

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2066

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2045

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2029

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2028

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1963

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1956

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1956

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1922

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1879

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1848

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1844

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1834

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1810

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1770

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1765

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1716

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1700

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1695

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1624

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1518

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1506

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1499

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1482

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1475

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1465

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1403

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1391

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1331

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1326

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1308

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1295

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1291

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1277

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1270

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1249

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1243

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1241

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1199

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1189

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1171

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1148

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1146

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1142

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1116

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1104

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1103

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1100

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1088

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1088

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1066

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1062

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1005

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1001

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0940

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0925

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0912

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0910

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0900

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0893

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0865

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0864

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0855

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0855

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0852

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0844

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0838

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0823

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0814

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0804

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0792

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0790

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0786

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0779

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0772

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0768

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0764

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0755

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0755

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0754

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0736

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0731

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0699

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0691

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0689

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0607

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0598

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0564

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0560

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0558

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0526

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`)