TreeWAS – [K23] Disorders of oesophagus in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K23

Disorders of oesophagus in diseases classified elsewhere

Parent term	K20-K31 Diseases of oesophagus, stomach and duodenum
Nested terms	K23.0 Tuberculous oesophagitis K23.1 Megaoesophagus in Chagas' disease K23.8 Disorders of oesophagus 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
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.715	0.285	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.715	0.285	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.714	0.285	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.713	0.287	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.685	0.314	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.684	0.316	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.675	0.325	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.664	0.336	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.662	0.337	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.661	0.339	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.658	0.342	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.657	0.343	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.640	0.360	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.620	0.380	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.605	0.395	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.579	0.421	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.553	0.447	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.525	0.475	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.504	0.495	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.502	0.498	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.492	0.507	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.470	0.530	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.459	0.541	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.432	0.568	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.421	0.579	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.417	0.583	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.398	0.602	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.374	0.626	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.349	0.651	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.341	0.659	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.338	0.661	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.335	0.665	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.319	0.681	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.316	0.684	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.286	0.714	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.277	0.723	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.253	0.747	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.206	0.794	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.205	0.795	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.199	0.801	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.156	0.844	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.154	0.846	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.150	0.850	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.117	0.883	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.102	0.898	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.092	0.908	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.089	0.911	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.080	0.919	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.062	0.938	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.060	0.940	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.058	0.942	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.052	0.948	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.046	0.953	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.043	0.957	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.039	0.961	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.029	0.971	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.028	0.971	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.024	0.975	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.023	0.976	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.022	0.978	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.018	0.982	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.017	0.983	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.983	0.016
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.016	0.984	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.987	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.012	0.988	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.011	0.989	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.011	0.989	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.008	0.992	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.007	0.992	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.007	0.992	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.007	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.007	0.993	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.006	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.994	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.005	0.995	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.005	0.995	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.005	0.995	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.995	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.004	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.004	0.996	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.004	0.996	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.997	0.003
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.003	0.997	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.002	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.002
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.002	0.998	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.002	0.998	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.002	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.002	0.998	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.001	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.001	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.000	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.000	0.999	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.000	1.000	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.000	1.000	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	1.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	1.000	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.000	1.000	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.000	1.000	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	1.000	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	1.000	0.000
rs4886755 lBF = `-0.067757` Chr`15` : `76,298,132`	0.000	1.000	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.000	1.000	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs1356410 lBF = `0.147653` Chr`15` : `42,434,837`	0.000	1.000	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	1.000	0.000
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.000	1.000	0.000
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.000	1.000	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	1.000	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.000	1.000	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	1.000	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
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rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	1.000	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.7806

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.6146

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7169

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7167

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7167

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7164

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7164

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7160

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7156

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7153

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7144

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7127

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7123

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7109

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7035

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7017

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6799

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6557

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6522

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6404

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6306

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6240

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6031

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5948

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5894

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5714

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5575

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5126

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4735

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3840

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3634

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3514

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3472

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3037

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2676

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2550

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2436

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2366

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2343

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2284

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2277

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2275

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1925

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1620

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1478

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1057

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0983

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0981

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0765

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0737

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0731

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0689

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0668

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0593

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0509

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`)