TreeWAS – [R26] Abnormalities of gait and mobility

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R26

Abnormalities of gait and mobility

Parent term	R25-R29 Symptoms and signs involving the nervous and musculoskeletal systems
Nested terms	R26.0 Ataxic gait R26.1 Paralytic gait R26.2 Difficulty in walking, not elsewhere classified R26.3 Immobility R26.8 Other and unspecified abnormalities of gait and mobility

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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
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.987	0.013	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.925	0.075	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.908	0.092	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.888	0.112	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.882	0.118	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.869	0.131	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.839	0.161	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.821	0.179	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.804	0.196	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.791	0.209	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.783	0.217	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.776	0.224	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.761	0.239	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.752	0.248	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.746	0.254	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.742	0.258	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.742	0.258	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.738	0.262	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.732	0.268	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.719	0.281	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.703	0.297	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.683	0.317	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.671	0.329	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.662	0.338	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.644	0.356	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.639	0.361	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.631	0.369	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.629	0.371	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.628	0.372	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.590	0.410	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.576	0.424	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.572	0.428	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.572	0.428	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.568	0.432	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.562	0.438	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.560	0.440	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.548	0.452	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.546	0.454	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.540	0.460	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.535	0.465	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.530	0.470	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.524	0.476	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.523	0.477	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.507	0.493	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.485	0.515	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.470	0.529	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.445	0.555	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.435	0.565	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.431	0.569	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.419	0.581	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.417	0.583	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.404	0.596	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.376	0.624	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.356	0.644	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.333	0.667	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.320	0.680	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.313	0.687	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.290	0.710	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.279	0.721	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.258	0.742	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.251	0.748	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.225	0.774	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.219	0.781	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.216	0.784	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.213	0.787	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.184	0.816	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.180	0.820	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.177	0.823	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.167	0.832	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.155	0.845	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.154	0.846	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.135	0.865	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.134	0.866	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.130	0.869	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.124	0.876	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.110	0.889	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.108	0.892	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.105	0.895	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.100	0.900	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.098	0.902	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.097	0.902	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.085	0.915	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.085	0.915	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.084	0.916	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.077	0.923	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.073	0.927	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.051	0.949	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.047	0.953	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.045	0.955	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.044	0.956	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.041	0.959	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.037	0.963	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.034	0.965	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.030	0.970	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.028	0.972	0.001
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.026	0.974	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.018	0.981	0.001
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.017	0.983	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.015	0.985	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.985	0.014
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.014	0.986	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.014	0.986	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.014	0.986	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.013	0.987	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.013	0.987	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.013	0.987	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.012	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.012	0.988	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.011	0.989	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.990	0.010
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.009	0.991	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.009	0.991	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.008	0.992	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.008	0.992	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.007	0.992	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.007	0.992	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.007	0.993	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.007	0.993	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.007	0.993	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.006	0.994	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.006	0.994	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.995	0.005
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.004	0.995	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.004	0.996	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.004	0.996	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	0.996	0.004
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	0.997	0.003
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.003	0.997	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	0.997	0.003
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.997	0.001
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.003	0.997	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	0.997	0.003
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.003	0.997	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.002	0.997	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.002	0.997	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.003	0.997	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	0.997	0.002
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.002	0.998	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.002	0.998	0.000
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.998	0.002
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	0.998	0.002
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	0.998	0.002
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	0.998	0.002
rs1823874 lBF = `-0.0604683` Chr`15` : `100,357,435`	0.000	0.998	0.002
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.002	0.998	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.002	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.002	0.998	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	0.998	0.002
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.002	0.998	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.998	0.002
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	0.998	0.002
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	0.998	0.002
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	0.998	0.002
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	0.998	0.002
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	0.998	0.002
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	0.998	0.002
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	0.998	0.002
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.998	0.002
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.998	0.002
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	0.998	0.002
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	0.998	0.002
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	0.998	0.002
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	0.998	0.002
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	0.998	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	0.999	0.001
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	0.999	0.001
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs11070747 lBF = `-0.0533145` Chr`15` : `50,376,439`	0.001	0.999	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	0.999	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.001	0.999	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.001	0.999	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	0.999	0.001
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	0.999	0.001
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	0.999	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	0.999	0.001
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	0.999	0.001
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	0.999	0.001
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.001	0.999	0.000
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rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs711355 lBF = `-0.0844351` Chr`15` : `30,193,468`	0.000	1.000	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	1.000	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	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
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	1.000	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	1.000	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.000	1.000	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	1.000	0.000
rs933769 lBF = `-0.0799509` Chr`15` : `96,052,742`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs1559777 lBF = `-0.0734956` Chr`15` : `58,080,617`	0.000	1.000	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	1.000	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs281302 lBF = `-0.0933521` Chr`15` : `47,686,662`	0.000	1.000	0.000
rs6495367 lBF = `-0.0960495` Chr`15` : `79,375,347`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7217

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3261

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9999

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9998

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9998

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9997

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9997

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9994

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9994

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9993

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9991

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9990

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9990

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9990

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9989

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9986

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9977

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9974

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9973

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9969

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9968

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9966

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9943

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9927

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9921

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9915

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9897

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9874

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9874

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9872

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9848

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9838

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9827

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9819

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9779

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9760

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9752

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9746

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9730

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9702

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9687

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9682

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9675

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9590

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9538

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9533

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9483

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9472

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9447

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9427

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9366

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9362

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9307

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9241

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9224

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9160

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9136

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9086

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9071

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8981

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8981

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8969

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8951

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8908

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8893

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8801

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8784

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8752

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8721

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8692

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8682

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8652

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8633

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8546

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8544

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8445

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8393

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8357

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8342

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8262

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8224

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8189

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8165

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8162

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8154

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7989

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7893

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7832

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7828

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7787

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7764

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7664

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7355

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7289

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7177

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7007

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6983

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6819

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6774

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6688

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6593

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6462

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6402

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6312

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6046

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6005

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5898

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5877

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5836

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5670

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5594

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5544

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5535

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5524

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5480

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5159

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5045

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4649

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4619

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4459

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4405

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3932

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3737

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3727

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3570

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3403

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3279

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3104

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2968

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2936

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2856

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2735

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2459

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2368

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2335

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2232

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2166

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2096

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1989

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1942

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1812

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1763

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1466

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1291

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1261

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1224

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1059

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1028

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1025

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1010

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0921

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0841

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0711

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0637

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0605

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0591

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0513

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`)