TreeWAS – [G82] Paraplegia and tetraplegia

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

G82

Paraplegia and tetraplegia

Parent term	G80-G83 Cerebral palsy and other paralytic syndromes
Nested terms	G82.0 Flaccid paraplegia G82.1 Spastic paraplegia G82.2 Paraplegia, unspecified G82.3 Flaccid tetraplegia G82.4 Spastic tetraplegia G82.5 Tetraplegia, unspecified

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Variant effects

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.985	0.015	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.959	0.041	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.947	0.053	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.945	0.055	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.943	0.057	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.938	0.062	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.938	0.062	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.937	0.063	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.935	0.065	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.935	0.065	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.927	0.073	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.922	0.078	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.921	0.079	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.920	0.080	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.919	0.081	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.918	0.082	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.918	0.082	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.914	0.086	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.912	0.088	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.911	0.089	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.909	0.091	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.897	0.103	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.897	0.103	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.896	0.104	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.896	0.104	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.895	0.105	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.894	0.106	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.893	0.107	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.892	0.108	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.889	0.111	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.888	0.112	0.000
rs2256974 lBF = `41.9833` Chr`6` : `31,555,392`	0.000	0.112	0.888
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.877	0.123	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.876	0.124	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.876	0.124	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.876	0.124	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.871	0.129	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.870	0.130	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.870	0.130	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.868	0.132	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.868	0.132	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.867	0.133	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.867	0.133	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.865	0.135	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.865	0.135	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.864	0.136	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.861	0.139	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.142	0.858
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.857	0.143	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.857	0.143	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.857	0.143	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.857	0.143	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.856	0.144	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.856	0.144	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.856	0.144	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.856	0.144	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.853	0.147	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.853	0.147	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.850	0.150	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.850	0.150	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.847	0.153	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.847	0.153	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.847	0.153	0.000
rs62437750 lBF = `8.76001` Chr`6` : `145,518,570`	0.847	0.153	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.846	0.153	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.844	0.156	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.843	0.157	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.843	0.157	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.843	0.157	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.841	0.159	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.839	0.161	0.000
rs73052920 lBF = `29.3216` Chr`3` : `37,760,669`	0.838	0.162	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.838	0.162	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.837	0.163	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.835	0.165	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.834	0.166	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.834	0.166	0.000
rs2844510 lBF = `60.6952` Chr`6` : `31,410,408`	0.000	0.170	0.830
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.829	0.171	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.825	0.175	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.825	0.175	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.824	0.176	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.824	0.176	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.823	0.177	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.823	0.177	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.822	0.178	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.821	0.179	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.820	0.180	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.819	0.181	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.817	0.183	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	0.817	0.183	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.816	0.184	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.816	0.184	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.815	0.185	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.815	0.185	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.813	0.187	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.813	0.187	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.812	0.188	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.811	0.189	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.809	0.191	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.807	0.193	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.806	0.194	0.000
rs45565837 lBF = `23.5217` Chr`6` : `31,694,859`	0.805	0.195	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.805	0.195	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.805	0.195	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.805	0.195	0.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	0.804	0.196	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.804	0.196	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.803	0.197	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.801	0.199	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.801	0.199	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.800	0.200	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.800	0.200	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.799	0.201	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.798	0.202	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.798	0.202	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.798	0.202	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.798	0.202	0.000
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.796	0.204	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.796	0.204	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.796	0.204	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.795	0.205	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.795	0.205	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.793	0.207	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.792	0.208	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.790	0.210	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.789	0.211	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.788	0.212	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.788	0.212	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.788	0.212	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.787	0.213	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.787	0.213	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.786	0.214	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.786	0.214	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.785	0.215	0.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	0.783	0.217	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.783	0.217	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.783	0.217	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.782	0.218	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.781	0.219	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.780	0.220	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.779	0.220	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.780	0.220	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.779	0.221	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.779	0.221	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.779	0.221	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.778	0.222	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.778	0.222	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.777	0.223	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.777	0.223	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.777	0.223	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.776	0.223	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.776	0.224	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.776	0.224	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.776	0.224	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.775	0.225	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.775	0.225	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.775	0.225	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.774	0.226	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.774	0.226	0.000
rs115247800 lBF = `26.4799` Chr`6` : `31,606,813`	0.774	0.226	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.774	0.226	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.774	0.226	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.773	0.227	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.773	0.227	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.772	0.228	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.772	0.228	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.771	0.229	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.771	0.229	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.771	0.229	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.769	0.231	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.768	0.231	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.767	0.233	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.766	0.234	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.766	0.234	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.766	0.234	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.766	0.234	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.765	0.235	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.764	0.236	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.764	0.236	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.764	0.236	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.763	0.237	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.763	0.237	0.000
rs17211510 lBF = `186.894` Chr`6` : `32,602,430`	0.000	0.237	0.763
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.763	0.237	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.763	0.237	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.762	0.238	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.761	0.238	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.761	0.239	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.761	0.239	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.761	0.239	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.760	0.240	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.759	0.241	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.759	0.241	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.759	0.241	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.759	0.241	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.758	0.242	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.758	0.242	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.757	0.243	0.000
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rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.691	0.309	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.691	0.309	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.690	0.310	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.690	0.310	0.000
rs3115630 lBF = `60.0967` Chr`6` : `29,794,501`	0.690	0.310	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.689	0.311	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.689	0.311	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.689	0.311	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.688	0.312	0.000
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.688	0.312	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.688	0.312	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.688	0.312	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.687	0.313	0.000
rs3132129 lBF = `68.6594` Chr`6` : `30,027,860`	0.687	0.313	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.687	0.313	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.687	0.313	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.686	0.314	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.686	0.314	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.686	0.314	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.686	0.314	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.686	0.314	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.686	0.314	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.686	0.314	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.686	0.314	0.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	0.685	0.315	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.685	0.315	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.685	0.315	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.685	0.315	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.685	0.315	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.684	0.316	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.684	0.316	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.684	0.316	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.684	0.316	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.684	0.316	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.683	0.317	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.683	0.317	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.683	0.317	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.683	0.317	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.683	0.317	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.682	0.317	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.682	0.317	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.682	0.317	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.682	0.318	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.682	0.318	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.682	0.318	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.682	0.318	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.682	0.318	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.682	0.318	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.681	0.319	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.681	0.319	0.000
rs2523587 lBF = `217.283` Chr`6` : `31,327,400`	0.681	0.319	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.680	0.320	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.680	0.320	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.680	0.320	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.679	0.320	0.000
rs7453920 lBF = `174.036` Chr`6` : `32,730,012`	0.679	0.321	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.679	0.321	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.679	0.321	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.679	0.321	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.679	0.321	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.679	0.321	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.679	0.321	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.678	0.321	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.678	0.322	0.000
rs16871165 lBF = `7.13391` Chr`6` : `32,909,144`	0.678	0.322	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.677	0.323	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.677	0.323	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.677	0.323	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.677	0.323	0.000
rs9276431 lBF = `177.694` Chr`6` : `32,712,247`	0.676	0.324	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.676	0.324	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.676	0.324	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.676	0.324	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.675	0.324	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.675	0.325	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.675	0.325	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.675	0.325	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.675	0.325	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.675	0.325	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.675	0.325	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.674	0.326	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.674	0.326	0.000
rs2301271 lBF = `176.766` Chr`6` : `32,725,193`	0.673	0.327	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.673	0.327	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.673	0.327	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.673	0.327	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.672	0.328	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.672	0.328	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.672	0.328	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.672	0.328	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.671	0.329	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.671	0.329	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.671	0.329	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.671	0.329	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.671	0.329	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.671	0.329	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.671	0.329	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.671	0.329	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.671	0.329	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.671	0.329	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5704

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5478

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1037

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9998

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9998

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9997

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9997

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9990

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9989

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9985

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9984

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9982

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9974

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9973

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9972

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9965

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9961

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9958

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9952

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9949

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9944

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9942

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9939

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9938

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9937

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9932

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9921

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9919

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9915

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9914

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9912

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9907

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9893

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9884

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9883

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9856

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9854

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9851

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9842

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9831

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9823

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9823

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9822

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9785

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9784

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9784

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9784

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9780

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9780

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9777

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9761

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9755

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9747

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9740

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9737

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9709

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9707

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9704

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9689

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9668

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9668

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9665

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9663

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9649

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9633

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9626

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9617

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9609

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9602

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9595

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9590

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9552

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9542

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9522

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9510

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9489

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9489

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9471

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9447

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9428

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9389

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9344

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9343

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9321

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9304

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9302

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9302

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9294

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9243

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9225

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9216

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9201

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9187

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9179

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9153

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9131

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9121

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9110

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9073

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9057

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9038

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8984

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8978

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8888

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8876

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8873

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8868

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8861

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8853

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8842

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8824

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8816

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8800

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8780

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8778

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8761

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8715

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8714

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8654

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8592

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8588

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8588

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8487

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8470

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8394

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8391

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8358

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8244

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8235

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8225

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8196

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8183

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8163

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8108

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8101

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8063

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8051

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7994

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7983

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7864

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7862

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7836

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7780

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7766

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7755

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7740

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7693

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7565

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7556

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7549

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7513

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7474

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7438

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7435

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7361

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7288

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7285

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7263

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7217

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7203

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7072

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7057

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7054

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6844

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6831

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6821

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6818

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6724

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6723

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6654

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6616

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6422

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6395

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6256

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6185

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6153

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6088

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6045

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5980

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5927

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5860

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5653

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5631

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5619

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5457

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5350

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5262

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5208

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5202

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5095

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4856

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4827

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4772

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4741

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4002

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3885

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3810

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3485

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3075

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2884

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2568

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2532

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2345

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2140

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2102

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1876

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1657

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1430

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1117

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1019

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0611

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0501

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`)