TreeWAS – [S30] Superficial injury of abdomen, lower back and pelvis

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
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.998	0.002	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.973	0.027	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.969	0.031	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.967	0.033	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.963	0.037	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.960	0.040	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.958	0.042	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.958	0.042	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.957	0.043	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.949	0.051	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.942	0.058	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.941	0.059	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.941	0.059	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.934	0.066	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.933	0.067	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.932	0.068	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.926	0.074	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.917	0.083	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.917	0.083	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.915	0.085	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.914	0.086	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.914	0.086	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.913	0.087	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.912	0.088	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.911	0.089	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.910	0.090	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.903	0.097	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.903	0.097	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.903	0.097	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.902	0.097	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.902	0.098	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.902	0.098	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.900	0.100	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.899	0.101	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.896	0.104	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.895	0.105	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.894	0.106	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.893	0.107	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.892	0.108	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.892	0.108	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.892	0.108	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.892	0.108	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.891	0.109	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.891	0.109	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.891	0.109	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.888	0.112	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.887	0.113	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.887	0.113	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.886	0.114	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.885	0.115	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.885	0.115	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.884	0.116	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.881	0.119	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.877	0.123	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.877	0.123	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.877	0.123	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.876	0.124	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.875	0.125	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.874	0.126	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.874	0.126	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.873	0.127	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.871	0.129	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.867	0.133	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.866	0.134	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.866	0.134	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.866	0.134	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.865	0.135	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.864	0.136	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.864	0.136	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.862	0.138	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.861	0.138	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.861	0.139	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.861	0.139	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.858	0.142	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.858	0.142	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.858	0.142	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.854	0.146	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.854	0.146	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.854	0.146	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.853	0.147	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.852	0.148	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.852	0.148	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.852	0.148	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.851	0.149	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.851	0.149	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.851	0.149	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.850	0.150	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.849	0.151	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.849	0.151	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.849	0.151	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.848	0.152	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.848	0.152	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.845	0.155	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.844	0.156	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.843	0.157	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.843	0.157	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.841	0.159	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.841	0.159	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.840	0.160	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.840	0.160	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.839	0.160	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.839	0.161	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.839	0.161	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.839	0.161	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.838	0.162	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.837	0.163	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.837	0.163	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.837	0.163	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.836	0.164	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.836	0.164	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.836	0.164	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.836	0.164	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.835	0.165	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.834	0.166	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.833	0.167	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.833	0.167	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.832	0.168	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.832	0.168	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.831	0.169	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.830	0.170	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.830	0.170	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.830	0.170	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.830	0.170	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.830	0.170	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.829	0.171	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.829	0.171	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.828	0.172	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.828	0.172	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.172	0.828
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.828	0.172	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.827	0.173	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.827	0.173	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.826	0.174	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.826	0.174	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.825	0.175	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.823	0.177	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.823	0.177	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.823	0.177	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.821	0.179	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.821	0.179	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.819	0.181	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.819	0.181	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.819	0.181	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.819	0.181	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.818	0.182	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.818	0.182	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.818	0.182	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.817	0.183	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.817	0.183	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.816	0.184	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.816	0.184	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.816	0.184	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.816	0.184	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.815	0.185	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.815	0.185	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.815	0.185	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.815	0.185	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.814	0.186	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.814	0.186	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.813	0.187	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.813	0.187	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.812	0.188	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.812	0.188	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.811	0.189	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.810	0.190	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.809	0.191	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.809	0.191	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.809	0.191	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.809	0.191	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.808	0.192	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.808	0.192	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.808	0.192	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.807	0.193	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.807	0.193	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.807	0.193	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.806	0.194	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.806	0.194	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.806	0.194	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.805	0.195	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.805	0.195	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.803	0.197	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.803	0.197	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.802	0.198	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.802	0.198	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.802	0.198	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.802	0.198	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.802	0.198	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.802	0.198	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.802	0.198	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.801	0.199	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.801	0.199	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.801	0.199	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.801	0.199	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.800	0.200	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.800	0.200	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.800	0.200	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.800	0.200	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.800	0.200	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.800	0.200	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.798	0.201	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.798	0.202	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.797	0.203	0.000
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rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.745	0.255	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.745	0.255	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.745	0.255	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.744	0.256	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.744	0.256	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.744	0.256	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.743	0.257	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.742	0.258	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.742	0.258	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.742	0.258	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.742	0.258	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.741	0.259	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.741	0.259	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.741	0.259	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.741	0.259	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.741	0.259	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.740	0.260	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.740	0.260	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.739	0.261	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.739	0.261	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.739	0.261	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.739	0.261	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.739	0.261	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.739	0.261	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.739	0.261	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.739	0.261	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.738	0.262	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.738	0.262	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.738	0.262	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.738	0.262	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.738	0.262	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.737	0.263	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.737	0.263	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.737	0.263	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.737	0.263	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.737	0.263	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.736	0.264	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.735	0.265	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.735	0.265	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.735	0.265	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.735	0.265	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.735	0.265	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.735	0.265	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.734	0.266	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.734	0.266	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.734	0.266	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.734	0.266	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.733	0.267	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.732	0.268	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.732	0.268	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.732	0.268	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.732	0.268	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.732	0.268	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.731	0.269	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.731	0.269	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.731	0.269	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.731	0.269	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.731	0.269	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.730	0.269	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.730	0.270	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.730	0.270	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.730	0.270	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.730	0.270	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.730	0.270	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.729	0.271	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.729	0.271	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.729	0.271	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.729	0.271	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.729	0.271	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.728	0.271	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.728	0.272	0.000
rs9501239 lBF = `16.8023` Chr`6` : `32,895,580`	0.728	0.272	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.728	0.272	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.728	0.272	0.000
rs17189441 lBF = `60.2526` Chr`6` : `30,758,555`	0.728	0.272	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.727	0.273	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.727	0.273	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.727	0.273	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.727	0.273	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.727	0.273	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.726	0.274	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.726	0.274	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.726	0.274	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.726	0.274	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.725	0.274	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.725	0.275	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.725	0.275	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.725	0.275	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.725	0.275	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.725	0.275	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.724	0.276	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.724	0.276	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.724	0.276	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.724	0.276	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.724	0.276	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.724	0.276	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.724	0.276	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

0.7693

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4512

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9999

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9998

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9996

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9991

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9985

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9982

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9978

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9978

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9976

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9975

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9975

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9972

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9972

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9969

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9960

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9953

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9952

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9950

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9948

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9940

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9938

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9937

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9936

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9936

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9933

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9920

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9910

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9887

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9881

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9877

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9876

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9868

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9867

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9862

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9857

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9854

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9827

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9818

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9814

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9793

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9793

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9785

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9785

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9783

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9775

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9765

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9765

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9758

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9755

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9722

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9714

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9711

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9710

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9694

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9651

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9640

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9631

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9625

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9604

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9598

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9597

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9587

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9577

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9528

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9510

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9503

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9502

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9499

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9498

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9496

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9476

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9476

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9443

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9437

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9433

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9430

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9386

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9368

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9367

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9362

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9320

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9270

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9265

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9239

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9232

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9210

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9208

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9198

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9191

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9173

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9167

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9164

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9139

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9099

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9098

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9046

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8994

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8983

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8961

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8953

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8805

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8798

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8781

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8725

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8710

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8702

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8664

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8643

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8580

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8576

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8561

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8560

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8548

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8406

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8397

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8383

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8268

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8188

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8165

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8144

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8126

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8109

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8096

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8092

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8053

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8044

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8025

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8004

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7973

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7942

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7870

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7868

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7845

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7842

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7773

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7693

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7673

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7662

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7584

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7572

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7561

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7351

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7327

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7277

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7274

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7155

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7124

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7023

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7014

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6996

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6854

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6801

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6593

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6580

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6537

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6322

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6309

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6056

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6035

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5901

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5866

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5810

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5789

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5683

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5484

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5418

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5333

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5308

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5171

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5127

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4928

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4907

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4560

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4252

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3992

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3975

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3939

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3827

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.3606

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3374

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3090

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3023

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2948

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2947

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2750

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2668

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2577

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2441

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2190

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1892

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1845

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1614

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1229

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1009

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0867

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0841

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0748

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0728

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0614

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	S30-S39 Injuries to the abdomen, lower back, lumbar spine and pelvis
Nested terms	S30.0 Contusion of lower back and pelvis S30.1 Contusion of abdominal wall S30.2 Contusion of external genital organs S30.7 Multiple superficial injuries of abdomen, lower back and pelvis S30.8 Other superficial injuries of abdomen, lower back and pelvis S30.9 Superficial injury of abdomen, lower back and pelvis, part 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`)