TreeWAS – [N15] Other renal tubulo-interstitial diseases

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N15

Other renal tubulo-interstitial diseases

Parent term	N10-N16 Renal tubulo-interstitial diseases
Nested terms	N15.0 Balkan nephropathy N15.1 Renal and perinephric abscess N15.8 Other specified renal tubulo-interstitial diseases N15.9 Renal tubulo-interstitial disease, unspecified

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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
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.850	0.150	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.812	0.188	0.000
rs12472911 lBF = `2.05791` Chr`2` : `142,228,509`	0.807	0.193	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.795	0.205	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.774	0.226	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.767	0.233	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.763	0.237	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.758	0.242	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.754	0.246	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.753	0.247	0.000
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.752	0.248	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.747	0.253	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.746	0.254	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.742	0.258	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.742	0.258	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.739	0.260	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.739	0.261	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.739	0.261	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.737	0.263	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.735	0.265	0.000
rs1576 lBF = `215.338` Chr`6` : `31,110,391`	0.733	0.267	0.000
rs1265112 lBF = `219.091` Chr`6` : `31,118,019`	0.731	0.269	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.731	0.269	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.728	0.272	0.000
rs746647 lBF = `217.115` Chr`6` : `31,114,182`	0.727	0.272	0.000
rs1265114 lBF = `217.1` Chr`6` : `31,117,188`	0.727	0.273	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.726	0.274	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.725	0.275	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.720	0.280	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.717	0.283	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.717	0.283	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.717	0.283	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.716	0.283	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.716	0.284	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.716	0.284	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.715	0.285	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.715	0.285	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.715	0.285	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.715	0.285	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.715	0.285	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.715	0.285	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.714	0.286	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.714	0.286	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.714	0.286	0.000
rs4660808 lBF = `1.09854` Chr`1` : `40,018,509`	0.714	0.286	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.714	0.286	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.714	0.286	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.714	0.286	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.714	0.286	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.713	0.287	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.713	0.287	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.712	0.287	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.712	0.288	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.712	0.288	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.712	0.288	0.000
rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.712	0.288	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.711	0.288	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.711	0.289	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.711	0.289	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.711	0.289	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.711	0.289	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.710	0.289	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.710	0.290	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.710	0.290	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.710	0.290	0.000
rs11965214 lBF = `60.7415` Chr`6` : `30,647,005`	0.709	0.291	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.709	0.291	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.708	0.291	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.708	0.292	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.708	0.292	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.707	0.292	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.707	0.293	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.707	0.293	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.706	0.293	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.706	0.294	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.706	0.294	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.706	0.294	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.705	0.295	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.705	0.295	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.705	0.295	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.705	0.295	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.705	0.295	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.705	0.295	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.704	0.296	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.704	0.296	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.704	0.296	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.704	0.296	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.704	0.296	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.704	0.296	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.704	0.296	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.704	0.296	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.703	0.296	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.703	0.297	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.703	0.297	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.703	0.297	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.703	0.297	0.000
rs3117289 lBF = `110.109` Chr`6` : `29,609,921`	0.703	0.297	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.703	0.297	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.703	0.297	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.703	0.297	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.703	0.297	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.703	0.297	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.702	0.298	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.702	0.298	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.702	0.298	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.702	0.298	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.702	0.298	0.000
rs3129073 lBF = `108.289` Chr`6` : `29,615,822`	0.702	0.298	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.702	0.298	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.701	0.298	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.701	0.298	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.701	0.298	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.701	0.299	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.701	0.299	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.701	0.299	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.701	0.299	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.701	0.299	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.701	0.299	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.701	0.299	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.701	0.299	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.700	0.299	0.000
rs29218 lBF = `105.895` Chr`6` : `29,607,429`	0.700	0.299	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.700	0.299	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.700	0.300	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.700	0.300	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.700	0.300	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.700	0.300	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.700	0.300	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.700	0.300	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.700	0.300	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.700	0.300	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.700	0.300	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.699	0.300	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.699	0.301	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.699	0.301	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.698	0.302	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.698	0.302	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.698	0.302	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.698	0.302	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.698	0.302	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.698	0.302	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.697	0.302	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.697	0.303	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.697	0.303	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.697	0.303	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.696	0.304	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.696	0.304	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.696	0.304	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.695	0.304	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.695	0.305	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.695	0.305	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.695	0.305	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.695	0.305	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.695	0.305	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.695	0.305	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.695	0.305	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.695	0.305	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.694	0.305	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.694	0.305	0.000
rs29228 lBF = `107.267` Chr`6` : `29,623,739`	0.694	0.306	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.694	0.306	0.000
rs1265078 lBF = `216.001` Chr`6` : `31,112,602`	0.694	0.306	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.694	0.306	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.694	0.306	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.693	0.306	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.693	0.307	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.693	0.307	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.693	0.307	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.692	0.308	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.692	0.308	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.692	0.308	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.692	0.308	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.692	0.308	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.692	0.308	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.692	0.308	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.692	0.308	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.692	0.308	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.691	0.309	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.691	0.309	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.691	0.309	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.690	0.309	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.690	0.309	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.690	0.310	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.690	0.310	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.690	0.310	0.000
rs3095267 lBF = `105.681` Chr`6` : `29,607,046`	0.690	0.310	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.690	0.310	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.689	0.311	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.689	0.311	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.689	0.311	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.689	0.311	0.000
rs3129063 lBF = `114.119` Chr`6` : `29,645,613`	0.688	0.311	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.688	0.312	0.000
rs1736915 lBF = `79.3983` Chr`6` : `29,704,316`	0.688	0.312	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.688	0.312	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.688	0.312	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.688	0.312	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.687	0.313	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.687	0.313	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.687	0.313	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.687	0.313	0.000
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rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.656	0.344	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.656	0.344	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.656	0.344	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.656	0.344	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.656	0.344	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.655	0.345	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.655	0.345	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.655	0.345	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.655	0.345	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.655	0.345	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.345	0.655
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.655	0.345	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.654	0.346	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.654	0.346	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.654	0.346	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.654	0.346	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.654	0.346	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.654	0.346	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.654	0.346	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.654	0.346	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.654	0.346	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.653	0.347	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.653	0.347	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.653	0.347	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.653	0.347	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.653	0.347	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.652	0.348	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.652	0.348	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.652	0.348	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.652	0.348	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.652	0.348	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.652	0.348	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.652	0.348	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.652	0.348	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.652	0.348	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.652	0.348	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.652	0.348	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.652	0.348	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.652	0.348	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.651	0.349	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.651	0.349	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.651	0.349	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.651	0.349	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.651	0.349	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.651	0.349	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.651	0.349	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.651	0.349	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.650	0.349	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.650	0.350	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.650	0.350	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.650	0.350	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.650	0.350	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.649	0.351	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.649	0.351	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.649	0.351	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.649	0.351	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.649	0.351	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.649	0.351	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.649	0.351	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.648	0.352	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.648	0.352	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.647	0.352	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.647	0.352	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.647	0.353	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.647	0.353	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.647	0.353	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.646	0.353	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	0.646	0.354	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.646	0.354	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.646	0.354	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.646	0.354	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.646	0.354	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.646	0.354	0.000
rs1150765 lBF = `304.593` Chr`6` : `31,127,562`	0.645	0.354	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.645	0.355	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.645	0.355	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.645	0.355	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.644	0.355	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.644	0.356	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.644	0.356	0.000
rs1633063 lBF = `101.823` Chr`6` : `29,726,046`	0.644	0.356	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.644	0.356	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.644	0.356	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.644	0.356	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.643	0.356	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.643	0.357	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.643	0.357	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.643	0.357	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.643	0.357	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.643	0.357	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.642	0.358	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.642	0.358	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.642	0.358	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.642	0.358	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.642	0.358	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.642	0.358	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.642	0.358	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

0.6078

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3827

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9537

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8897

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8599

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8571

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8486

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8441

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8414

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8230

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8179

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7909

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7906

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7761

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7608

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7493

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7168

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7168

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7168

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7168

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7167

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7167

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7166

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7166

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7165

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7165

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7165

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7165

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7164

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7164

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7162

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7159

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7158

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7158

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7156

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7154

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7153

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7153

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7151

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7151

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7149

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7149

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7140

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7140

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7134

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7115

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7105

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7099

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7098

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7069

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7056

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7056

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7044

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7006

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6958

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6857

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6856

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6847

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6821

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6814

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6804

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6765

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6651

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6643

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6570

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6441

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6382

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6381

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6354

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6332

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6290

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6183

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6115

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5920

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5901

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5801

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.5603

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5549

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5473

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5331

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5150

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5115

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4931

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4534

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4436

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4087

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3987

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3963

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3963

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3911

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3861

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3850

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3664

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.3573

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3488

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3430

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3420

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3361

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3294

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3293

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3207

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3084

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3052

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2912

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2836

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2814

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2691

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2455

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2230

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2150

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1917

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1906

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1878

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1864

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1842

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1766

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1738

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1637

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1606

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1496

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1292

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1202

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1076

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0787

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0679

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0626

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0530

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`)