TreeWAS – [R23] Other skin changes

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R23

Other skin changes

Parent term	R20-R23 Symptoms and signs involving the skin and subcutaneous tissue
Nested terms	R23.0 Cyanosis R23.1 Pallor R23.2 Flushing R23.3 Spontaneous ecchymoses R23.4 Changes in skin texture R23.8 Other and unspecified skin changes

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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
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.952	0.048	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.922	0.078	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.915	0.085	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.910	0.090	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.903	0.097	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.898	0.102	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.895	0.105	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.894	0.106	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.890	0.110	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.886	0.114	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.883	0.117	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.878	0.122	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.876	0.124	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.865	0.135	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.860	0.140	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.855	0.145	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.854	0.146	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.852	0.148	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.850	0.150	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.849	0.151	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.849	0.151	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.847	0.153	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.846	0.154	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.842	0.158	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.841	0.159	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.837	0.163	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.837	0.163	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.836	0.164	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.836	0.164	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.835	0.165	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.835	0.165	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.834	0.166	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.828	0.172	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.824	0.176	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.824	0.176	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.821	0.179	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.819	0.181	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.818	0.182	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.817	0.183	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.817	0.183	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.816	0.184	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.815	0.185	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.813	0.187	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.811	0.189	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.810	0.190	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.808	0.192	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.807	0.193	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.806	0.194	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.805	0.195	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.804	0.196	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.802	0.198	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.801	0.199	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.800	0.200	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.799	0.201	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.798	0.202	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.797	0.203	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.792	0.208	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.791	0.209	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.790	0.210	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.789	0.211	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.789	0.211	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.787	0.213	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.787	0.213	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.787	0.213	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.786	0.214	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.786	0.214	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.786	0.214	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.785	0.215	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.784	0.216	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.784	0.216	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.783	0.217	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.780	0.220	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.779	0.221	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.778	0.222	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.778	0.222	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.777	0.223	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.776	0.224	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.775	0.224	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.775	0.225	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.775	0.225	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.772	0.228	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.771	0.229	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.771	0.229	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.770	0.230	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.768	0.232	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.768	0.232	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.767	0.233	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.766	0.234	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.765	0.234	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.763	0.237	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.763	0.237	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.762	0.238	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.762	0.238	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.760	0.240	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.760	0.240	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.759	0.241	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.759	0.241	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.757	0.243	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.756	0.244	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.756	0.244	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.755	0.245	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.754	0.246	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.754	0.246	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.749	0.251	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.749	0.251	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.748	0.252	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.748	0.252	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.747	0.253	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.746	0.254	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.746	0.254	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.746	0.254	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.746	0.254	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.746	0.254	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.744	0.256	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.743	0.257	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.742	0.258	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.742	0.258	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.741	0.259	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.741	0.259	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.739	0.260	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.739	0.261	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.737	0.263	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.737	0.263	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.737	0.263	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.735	0.265	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.735	0.265	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.735	0.265	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.734	0.266	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.733	0.267	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.733	0.267	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.732	0.268	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.730	0.270	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.730	0.270	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.730	0.270	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.730	0.270	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.729	0.270	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.729	0.271	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.728	0.272	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.727	0.273	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.727	0.273	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.725	0.275	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.725	0.275	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.724	0.276	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.723	0.277	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.723	0.277	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.723	0.277	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.723	0.277	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.722	0.277	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.723	0.277	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.722	0.278	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.722	0.278	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.722	0.278	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.721	0.279	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.721	0.279	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.717	0.282	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.716	0.284	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.716	0.284	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.716	0.284	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.715	0.284	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.715	0.285	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.714	0.286	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.714	0.286	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.713	0.287	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.713	0.287	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.711	0.289	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.711	0.289	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.711	0.289	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.711	0.289	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.711	0.289	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.710	0.290	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.710	0.290	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.710	0.290	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.709	0.291	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.709	0.291	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.709	0.291	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.708	0.292	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.708	0.292	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.708	0.292	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.708	0.292	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.707	0.293	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.706	0.294	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.704	0.295	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.704	0.296	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.704	0.296	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.704	0.296	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.703	0.297	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.703	0.297	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.703	0.297	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.703	0.297	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.702	0.298	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.702	0.298	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.702	0.298	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.701	0.299	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.701	0.299	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.701	0.299	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.701	0.299	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.701	0.299	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.700	0.300	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.700	0.300	0.000
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rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.639	0.361	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.638	0.362	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.638	0.362	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.637	0.363	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.637	0.363	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.636	0.363	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.636	0.364	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.636	0.364	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.636	0.364	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.635	0.365	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.635	0.365	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.635	0.365	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.635	0.365	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.635	0.365	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.634	0.366	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.634	0.366	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.634	0.366	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.633	0.366	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.633	0.367	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.633	0.367	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.633	0.367	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.632	0.368	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.632	0.368	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.631	0.369	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.631	0.369	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.631	0.369	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.631	0.369	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.631	0.369	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.631	0.369	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.631	0.369	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.630	0.370	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.630	0.370	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.630	0.370	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.630	0.370	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.629	0.371	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.629	0.371	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.628	0.372	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.627	0.373	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.627	0.373	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.627	0.373	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.627	0.373	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.627	0.373	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.627	0.373	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.626	0.374	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.626	0.374	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.625	0.374	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.625	0.375	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.625	0.375	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.624	0.375	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.624	0.376	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.624	0.376	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.624	0.376	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.624	0.376	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.623	0.377	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.623	0.377	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.623	0.377	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.623	0.377	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.622	0.378	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.622	0.378	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.622	0.378	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.622	0.378	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.622	0.378	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.622	0.378	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.621	0.378	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.379	0.621
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.621	0.379	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.621	0.379	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.620	0.380	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.619	0.381	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.619	0.381	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.618	0.382	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.618	0.382	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.618	0.382	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.618	0.382	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.618	0.382	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.617	0.383	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.617	0.383	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.617	0.383	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.617	0.383	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.617	0.383	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.617	0.383	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.616	0.384	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.616	0.384	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.615	0.384	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.615	0.385	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.615	0.385	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.615	0.385	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.614	0.386	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.614	0.386	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.614	0.386	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.614	0.386	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.613	0.387	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.613	0.387	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.613	0.387	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.613	0.387	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.612	0.388	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.612	0.388	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.612	0.388	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.612	0.388	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5126

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2340

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1195

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9996

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9992

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9992

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9988

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9983

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9970

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9965

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9965

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9965

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9965

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9962

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9953

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9949

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9943

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9936

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9932

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9931

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9917

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9910

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9909

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9889

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9875

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9869

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9857

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9848

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9823

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9810

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9796

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9734

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9727

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9718

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9707

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9701

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9693

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9608

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9605

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9601

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9580

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9460

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9449

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9437

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9432

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9357

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9352

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9348

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9329

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9281

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9258

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9236

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9234

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9208

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9195

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9192

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9191

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9167

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9157

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9147

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9146

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9131

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9104

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9035

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9032

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8988

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8934

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8883

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8851

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8718

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8641

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8621

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8534

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8486

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8419

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8293

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8240

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8009

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7995

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7990

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7963

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7956

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7943

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7800

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7599

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7498

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7490

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7459

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7411

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7398

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7043

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6835

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6647

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6487

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6445

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6408

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6210

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6134

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6087

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6066

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5933

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5805

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5679

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5579

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5572

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4768

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4551

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4396

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4239

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4168

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4103

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3821

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3584

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3480

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3376

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3295

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3294

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3286

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3282

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3263

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3244

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3150

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3114

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2984

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2894

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2844

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2737

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2489

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2359

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2357

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2284

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2207

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2038

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2018

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1916

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1905

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1824

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1699

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1672

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1668

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1599

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1554

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1551

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1435

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1432

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1408

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1345

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1294

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1204

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0906

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0881

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0872

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0872

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0723

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0661

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0656

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0535

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`)