TreeWAS – [R25-R29] Symptoms and signs involving the nervous and musculoskeletal systems

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R25-R29

Symptoms and signs involving the nervous and musculoskeletal systems

Parent term	Chapter XVIII Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
Nested terms	R25 Abnormal involuntary movements R26 Abnormalities of gait and mobility R27 Other lack of coordination R29 Other symptoms and signs involving the nervous and musculoskeletal systems

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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
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	1.000	0.000	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	1.000	0.000	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.999	0.001	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.999	0.001	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.999	0.001	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.998	0.002	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.998	0.002	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.998	0.002	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.998	0.002	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.998	0.002	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.998	0.002	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.998	0.002	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.998	0.002	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.998	0.002	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.998	0.002	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.998	0.002	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.997	0.003	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.997	0.003	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.997	0.003	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.996	0.004	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.996	0.004	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.996	0.004	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.995	0.005	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.995	0.005	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.995	0.005	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.994	0.006	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.994	0.006	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.994	0.006	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.994	0.006	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.993	0.007	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.993	0.007	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.993	0.007	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.992	0.008	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.991	0.009	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.991	0.009	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.990	0.010	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.990	0.010	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.990	0.010	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.989	0.011	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.989	0.011	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.989	0.011	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.989	0.011	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.989	0.011	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.989	0.011	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.011	0.989
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.988	0.012	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.988	0.012	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.988	0.012	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.988	0.012	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.988	0.012	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.988	0.012	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.987	0.013	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.987	0.013	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.987	0.013	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.986	0.014	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.985	0.015	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.985	0.015	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.985	0.015	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.985	0.015	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.985	0.015	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.984	0.016	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.984	0.016	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.984	0.016	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.984	0.016	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.984	0.016	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.984	0.016	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.984	0.016	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.983	0.017	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.982	0.018	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.981	0.019	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.981	0.019	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.981	0.019	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.981	0.019	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.980	0.020	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.980	0.020	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.980	0.020	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.980	0.020	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.980	0.020	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.978	0.022	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.978	0.022	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.977	0.023	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.977	0.023	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.976	0.024	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.976	0.024	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.976	0.024	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.976	0.024	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.976	0.024	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.976	0.024	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.975	0.025	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.974	0.026	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.974	0.026	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.974	0.026	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.974	0.026	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.974	0.026	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.974	0.026	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.973	0.027	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.972	0.028	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.972	0.028	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.972	0.028	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.972	0.028	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.972	0.028	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.971	0.029	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.971	0.029	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.970	0.030	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.970	0.030	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.970	0.030	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.970	0.030	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.970	0.030	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.969	0.031	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.969	0.031	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.969	0.031	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.969	0.031	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.969	0.031	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.968	0.032	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.968	0.032	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.967	0.033	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.967	0.033	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.966	0.034	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.966	0.034	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.966	0.034	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.966	0.034	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.966	0.034	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.965	0.035	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.965	0.035	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.964	0.036	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.964	0.036	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.964	0.036	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.963	0.037	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.963	0.037	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.962	0.038	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.962	0.038	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.960	0.040	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.960	0.040	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.960	0.040	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.960	0.040	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.959	0.041	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.959	0.041	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.959	0.041	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.958	0.042	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.958	0.042	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.958	0.042	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.958	0.042	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.958	0.042	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.958	0.042	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.957	0.043	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.957	0.043	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.957	0.043	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.957	0.043	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.956	0.044	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.956	0.044	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.955	0.045	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.955	0.045	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.955	0.045	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.955	0.045	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.955	0.045	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.955	0.045	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.954	0.046	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.954	0.046	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.954	0.046	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.954	0.046	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.954	0.046	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.954	0.046	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.953	0.047	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.953	0.047	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.953	0.047	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.951	0.049	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.951	0.049	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.951	0.049	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.951	0.049	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.950	0.050	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.950	0.050	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.950	0.050	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.950	0.050	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.950	0.050	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.950	0.050	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.949	0.051	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.949	0.051	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.948	0.052	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.948	0.052	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.948	0.052	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.948	0.052	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.948	0.052	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.948	0.052	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.947	0.053	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.947	0.053	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.947	0.053	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.946	0.054	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.946	0.054	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.945	0.055	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.945	0.055	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.945	0.055	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.945	0.055	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.945	0.055	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.945	0.055	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.944	0.056	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.944	0.056	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.944	0.056	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.944	0.056	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.944	0.056	0.000
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rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.943	0.057	0.000
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rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.893	0.107	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.892	0.108	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.892	0.108	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.892	0.108	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.892	0.108	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.891	0.109	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.891	0.109	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.890	0.110	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.889	0.111	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.889	0.111	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.889	0.111	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.889	0.111	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.889	0.111	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.888	0.112	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.888	0.112	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.888	0.112	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.888	0.112	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.888	0.112	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.888	0.112	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.888	0.112	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.887	0.113	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.887	0.113	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.887	0.113	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.887	0.113	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.886	0.114	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.886	0.114	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.886	0.114	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.886	0.114	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.885	0.115	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.885	0.115	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.885	0.115	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.884	0.116	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.883	0.117	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.883	0.117	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.883	0.117	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.882	0.117	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.882	0.118	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.882	0.118	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.881	0.119	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.880	0.120	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.879	0.121	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.879	0.121	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.879	0.121	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.878	0.122	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.878	0.122	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.878	0.122	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.877	0.123	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.877	0.123	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.877	0.123	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.876	0.124	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.876	0.124	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.876	0.124	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.875	0.125	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.875	0.125	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.875	0.125	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.874	0.126	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.873	0.127	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.873	0.127	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.873	0.127	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.873	0.127	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.873	0.127	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.873	0.127	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.872	0.128	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.872	0.128	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.871	0.129	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.871	0.129	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.129	0.871
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.871	0.129	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.870	0.130	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.870	0.130	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.870	0.130	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.870	0.130	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.869	0.130	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.869	0.131	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.869	0.131	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.869	0.131	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.869	0.131	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.869	0.131	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.869	0.131	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.869	0.131	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.869	0.131	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.868	0.132	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.868	0.132	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.868	0.132	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.868	0.132	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.868	0.132	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.867	0.133	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.867	0.133	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.867	0.133	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.867	0.133	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.867	0.133	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.867	0.133	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.867	0.133	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.867	0.133	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.866	0.134	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.866	0.134	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.866	0.134	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.865	0.135	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.865	0.135	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.864	0.136	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.864	0.136	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.864	0.136	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.864	0.136	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

0.9385

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4589

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0507

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

1.0000

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

1.0000

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

1.0000

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

1.0000

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

1.0000

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

1.0000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9999

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9999

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9999

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9999

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9998

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9998

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9997

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9996

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9996

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9995

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9995

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9994

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9994

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9993

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9993

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9991

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9991

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9987

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9987

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9984

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9984

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9983

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9982

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9980

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9978

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9977

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9976

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9972

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9965

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9962

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9960

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9950

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9937

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9933

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9924

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9894

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9878

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9874

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9868

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9865

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9865

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9859

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9858

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9854

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9823

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9816

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9746

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9725

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9712

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9712

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9695

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9678

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9666

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9660

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9624

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9611

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9526

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9509

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9506

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9362

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9334

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9313

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9310

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9293

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9271

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9270

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9229

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9210

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9136

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9136

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8918

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8880

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8766

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8702

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8695

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8543

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8483

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8459

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8355

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8353

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8324

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8310

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8249

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8163

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8149

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7907

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7570

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7569

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7274

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7233

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7117

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6940

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6373

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6320

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6251

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5998

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5761

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5752

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5622

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5483

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5268

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5076

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4720

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4493

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4228

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4070

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3929

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3620

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3585

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3373

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3066

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2955

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2843

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2631

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2464

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2375

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1489

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1323

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1276

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1263

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1133

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1130

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1076

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1058

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1055

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0962

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0934

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0929

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0797

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0790

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0771

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0737

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0710

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0690

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0618

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0592

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0584

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0566

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0523

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`)