TreeWAS – [S80] Superficial injury of lower leg

Variant effects

Click on a variant to see its association results.

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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
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.993	0.007	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.973	0.027	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.971	0.029	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.971	0.029	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.971	0.029	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.966	0.034	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.966	0.034	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.963	0.037	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.961	0.039	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.958	0.042	0.000
rs1977 lBF = `133.04` Chr`6` : `26,377,546`	0.949	0.051	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.948	0.052	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.948	0.052	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.943	0.057	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.942	0.058	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.941	0.059	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.940	0.060	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.938	0.062	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.938	0.062	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.938	0.062	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.938	0.062	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.936	0.064	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.936	0.064	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.935	0.065	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.935	0.065	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.934	0.066	0.000
rs9393705 lBF = `134.475` Chr`6` : `26,361,011`	0.930	0.070	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.924	0.076	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.920	0.080	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.919	0.081	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.919	0.081	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.918	0.082	0.000
rs9379859 lBF = `137.014` Chr`6` : `26,369,549`	0.917	0.083	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.916	0.084	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.915	0.085	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.913	0.087	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.913	0.087	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.912	0.088	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.909	0.091	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.909	0.091	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.908	0.092	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.907	0.093	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.906	0.094	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.905	0.095	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.904	0.096	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.903	0.097	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.901	0.099	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.901	0.099	0.000
rs9393708 lBF = `137.887` Chr`6` : `26,362,643`	0.901	0.099	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.901	0.099	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.900	0.100	0.000
rs35555795 lBF = `149.56` Chr`6` : `26,509,382`	0.900	0.100	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.896	0.104	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.894	0.106	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.894	0.106	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.893	0.107	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.893	0.107	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.893	0.107	0.000
rs3734542 lBF = `150.603` Chr`6` : `26,468,326`	0.893	0.107	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.892	0.108	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.890	0.110	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.890	0.110	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.887	0.113	0.000
rs9379858 lBF = `135.263` Chr`6` : `26,367,689`	0.885	0.115	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.884	0.116	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.884	0.116	0.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.883	0.117	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.882	0.118	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.881	0.119	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.881	0.119	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.881	0.119	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.880	0.119	0.000
rs9379855 lBF = `136.857` Chr`6` : `26,364,930`	0.880	0.120	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.880	0.120	0.000
rs13219354 lBF = `133.323` Chr`6` : `27,185,664`	0.878	0.122	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.878	0.122	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.878	0.122	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.877	0.123	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.876	0.124	0.000
rs4452638 lBF = `132.117` Chr`6` : `27,229,265`	0.876	0.124	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.876	0.124	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.874	0.126	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.874	0.126	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.873	0.127	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.873	0.127	0.000
rs1979 lBF = `139.093` Chr`6` : `26,377,591`	0.873	0.127	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.872	0.128	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.872	0.128	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.871	0.129	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.129	0.871
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.871	0.129	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.870	0.130	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.870	0.130	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.870	0.130	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.869	0.131	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.867	0.133	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.867	0.133	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.866	0.134	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.866	0.134	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.864	0.136	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.864	0.136	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.862	0.138	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.861	0.139	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.860	0.140	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.860	0.140	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.860	0.140	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.859	0.141	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.859	0.141	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.859	0.141	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.858	0.142	0.000
rs9358934 lBF = `135.421` Chr`6` : `26,363,755`	0.858	0.142	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.857	0.143	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.856	0.143	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.856	0.144	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.856	0.144	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.855	0.145	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.855	0.145	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.855	0.145	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.854	0.146	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.854	0.146	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.854	0.146	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.854	0.146	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.852	0.148	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.851	0.149	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.851	0.149	0.000
rs3799383 lBF = `132.334` Chr`6` : `26,510,748`	0.850	0.150	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.849	0.151	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.849	0.151	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.848	0.152	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.848	0.152	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.848	0.152	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.848	0.152	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.848	0.152	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.847	0.153	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.847	0.153	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.847	0.153	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.847	0.153	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.847	0.153	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.846	0.154	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.846	0.154	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.845	0.155	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.845	0.155	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.845	0.155	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.844	0.156	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.843	0.157	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.843	0.157	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.842	0.158	0.000
rs2072803 lBF = `139.247` Chr`6` : `26,392,515`	0.842	0.158	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.842	0.158	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.841	0.159	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.840	0.160	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.840	0.160	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.839	0.161	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.839	0.161	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.838	0.162	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.837	0.163	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.837	0.163	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.837	0.163	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.836	0.164	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.836	0.164	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.836	0.164	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.836	0.164	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.836	0.164	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.836	0.164	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.835	0.165	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.834	0.166	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.834	0.166	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.834	0.166	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.834	0.166	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.833	0.167	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.833	0.167	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.832	0.168	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.832	0.168	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.832	0.168	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.831	0.169	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.831	0.169	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.831	0.169	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.831	0.169	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.831	0.169	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.830	0.170	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.830	0.170	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.830	0.170	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.829	0.171	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.828	0.172	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.828	0.172	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.827	0.173	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.827	0.173	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.827	0.173	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.826	0.174	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.826	0.174	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.825	0.175	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.825	0.175	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.825	0.175	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.824	0.176	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.823	0.177	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.822	0.178	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.822	0.178	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.821	0.179	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.821	0.179	0.000
rs72841509 lBF = `133.609` Chr`6` : `26,368,279`	0.820	0.180	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.819	0.181	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.819	0.181	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.819	0.181	0.000
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rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.758	0.242	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.757	0.243	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.757	0.243	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.757	0.243	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.757	0.243	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.757	0.243	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.757	0.243	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.757	0.243	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.756	0.244	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.756	0.244	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.755	0.245	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.755	0.245	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.755	0.245	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.755	0.245	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.755	0.245	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.755	0.245	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.755	0.245	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.754	0.246	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.754	0.246	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.754	0.246	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.754	0.246	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.754	0.246	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.754	0.246	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.753	0.247	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.753	0.247	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.247	0.753
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.753	0.247	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.752	0.248	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.752	0.248	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.752	0.248	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.752	0.248	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.752	0.248	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.752	0.248	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.752	0.248	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.751	0.249	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.751	0.249	0.000
rs6931421 lBF = `1.54316` Chr`6` : `80,880,138`	0.751	0.249	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.751	0.249	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.750	0.250	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.750	0.250	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.749	0.250	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.750	0.250	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.749	0.251	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.749	0.251	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.749	0.251	0.000
rs114570543 lBF = `14.2163` Chr`6` : `30,953,209`	0.748	0.252	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.748	0.252	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.748	0.252	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.748	0.252	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.748	0.252	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.748	0.252	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.747	0.253	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.747	0.253	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.747	0.253	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.746	0.254	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.746	0.254	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.746	0.254	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.746	0.254	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.746	0.254	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.746	0.254	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.746	0.254	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.746	0.254	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.746	0.254	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.745	0.255	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.745	0.255	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.745	0.255	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.745	0.255	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.744	0.255	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.744	0.256	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.743	0.256	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.743	0.257	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.743	0.257	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.743	0.257	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.743	0.257	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.742	0.258	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.742	0.258	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.742	0.258	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.742	0.258	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.742	0.258	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.742	0.258	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.742	0.258	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.741	0.259	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.741	0.259	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.740	0.260	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.739	0.261	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.739	0.261	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.739	0.261	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.739	0.261	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.739	0.261	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.738	0.261	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.738	0.262	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.738	0.262	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.738	0.262	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.738	0.262	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.738	0.262	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.738	0.262	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8707

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3617

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9999

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9996

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9996

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9994

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9994

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9993

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9987

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9984

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9984

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9978

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9973

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9968

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9961

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9957

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9953

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9950

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9949

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9940

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9938

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9935

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9931

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9931

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9928

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9922

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9922

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9899

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9893

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9888

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9881

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9876

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9875

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9875

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9870

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9867

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9856

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9855

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9836

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9824

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9812

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9812

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9801

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9795

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9793

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9764

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9760

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9724

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9714

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9713

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9693

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9671

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9642

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9631

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9586

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9586

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9550

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9547

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9538

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9514

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9499

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9497

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9494

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9486

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9466

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9453

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9422

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9416

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9413

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9405

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9395

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9388

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9373

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9306

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9300

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9260

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9258

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9237

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9193

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9193

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9191

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9175

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9147

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9077

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9069

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9019

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9002

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9000

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8982

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8979

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8967

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8918

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8809

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8766

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8746

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8712

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8688

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8652

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8615

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8576

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8574

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8571

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8505

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8493

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8483

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8473

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8422

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8336

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8181

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8139

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8100

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8058

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8016

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7928

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7864

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7824

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7821

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7785

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7772

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7731

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7709

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7625

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7624

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7599

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7559

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7538

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7529

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7334

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7256

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7248

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7198

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7150

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7143

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7138

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7118

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7050

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7044

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6927

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6915

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6881

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6826

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6787

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6670

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6421

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6420

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6116

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5960

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5878

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5863

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5647

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5563

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5461

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5273

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5216

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5160

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5005

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4871

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4648

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4456

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4331

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4234

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4231

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4145

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3931

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3926

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3550

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3517

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3512

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3350

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3201

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3182

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3061

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3031

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2989

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2983

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2936

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2825

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2821

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2737

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2378

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2284

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1922

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1908

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1757

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1740

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1525

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1406

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1306

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.1296

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1176

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1122

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1122

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1068

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1065

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1035

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0932

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0872

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0858

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0755

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0701

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0593

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0569

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0534

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0526

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.

Parent term	S80-S89 Injuries to the knee and lower leg
Nested terms	S80.0 Contusion of knee S80.1 Contusion of other and unspecified parts of lower leg S80.7 Multiple superficial injuries of lower leg S80.8 Other superficial injuries of lower leg S80.9 Superficial injury of lower leg, unspecified

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)