TreeWAS – [S79] Other and unspecified injuries of hip and thigh

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

S79

Other and unspecified injuries of hip and thigh

Parent term	S70-S79 Injuries to the hip and thigh
Nested terms	S79.7 Multiple injuries of hip and thigh S79.8 Other specified injuries of hip and thigh S79.9 Unspecified injury of hip and thigh

What are diagnostic terms?

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.888	0.112	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.881	0.119	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.878	0.122	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.877	0.123	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.876	0.124	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.867	0.133	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.864	0.136	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.864	0.136	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.863	0.137	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.862	0.138	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.862	0.138	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.860	0.140	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.853	0.147	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	0.847	0.153	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.844	0.156	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.842	0.158	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.838	0.162	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.834	0.166	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.833	0.167	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.832	0.168	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.832	0.168	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.826	0.174	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.826	0.174	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.826	0.174	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.825	0.174	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.823	0.177	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.823	0.177	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.821	0.179	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.819	0.181	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	0.818	0.182	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.817	0.183	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.816	0.184	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.816	0.184	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.816	0.184	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.815	0.185	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.815	0.185	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.811	0.189	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.809	0.191	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.806	0.194	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.805	0.195	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.805	0.195	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.805	0.195	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.804	0.196	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.802	0.198	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.799	0.201	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.797	0.203	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.203	0.797
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.794	0.206	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.793	0.207	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.793	0.207	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.792	0.208	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.792	0.208	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.792	0.208	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.791	0.209	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.790	0.210	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.789	0.211	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.789	0.211	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.789	0.211	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.788	0.212	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.787	0.213	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.785	0.215	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.785	0.215	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.783	0.217	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.782	0.218	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.781	0.219	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.777	0.223	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.777	0.223	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.777	0.223	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.776	0.224	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.775	0.225	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.774	0.226	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.772	0.228	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.772	0.228	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.771	0.228	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.771	0.229	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.770	0.230	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.769	0.231	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.768	0.232	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.768	0.232	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.767	0.233	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.766	0.233	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.766	0.234	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.766	0.234	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.765	0.235	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.765	0.235	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.765	0.235	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.764	0.236	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.763	0.237	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.763	0.237	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.763	0.237	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.763	0.237	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.762	0.238	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.762	0.238	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.761	0.238	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.761	0.239	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.761	0.239	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.761	0.239	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.759	0.241	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.758	0.242	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.243	0.757
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.757	0.243	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.756	0.244	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.755	0.245	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.754	0.246	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.754	0.246	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.753	0.247	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.753	0.247	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.752	0.248	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.751	0.249	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.751	0.249	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.750	0.250	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.749	0.251	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.749	0.251	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.749	0.251	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.749	0.251	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.747	0.253	0.000
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.747	0.253	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.747	0.253	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.747	0.253	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.746	0.254	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.746	0.254	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.746	0.254	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.745	0.255	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.743	0.257	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.742	0.257	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.742	0.257	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.742	0.258	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.742	0.258	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.742	0.258	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.741	0.259	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.741	0.259	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.740	0.260	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.740	0.260	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.740	0.260	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.740	0.260	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.739	0.261	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.738	0.262	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.738	0.262	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.738	0.262	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.738	0.262	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.737	0.263	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.736	0.264	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.736	0.264	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.736	0.264	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.735	0.265	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.735	0.265	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.735	0.265	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.735	0.265	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.735	0.265	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.733	0.267	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.733	0.267	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.733	0.267	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.733	0.267	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.732	0.267	0.000
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.732	0.268	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.732	0.268	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.731	0.269	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.731	0.269	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.731	0.269	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.731	0.269	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.731	0.269	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.731	0.269	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.730	0.270	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.730	0.270	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.730	0.270	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.729	0.270	0.000
rs17045328 lBF = `3.22095` Chr`1` : `207,652,176`	0.729	0.271	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.729	0.271	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.728	0.272	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.728	0.272	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.728	0.272	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.727	0.273	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.727	0.273	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.727	0.273	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.726	0.274	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.726	0.274	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.725	0.275	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.725	0.275	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.725	0.275	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.724	0.276	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.723	0.277	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.723	0.277	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.722	0.278	0.000
rs12199223 lBF = `141.245` Chr`6` : `31,242,731`	0.722	0.278	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.721	0.278	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.721	0.279	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.720	0.280	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.720	0.280	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.720	0.280	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.720	0.280	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.719	0.280	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.719	0.281	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.719	0.281	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.718	0.282	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.717	0.283	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.717	0.283	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.716	0.284	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.716	0.284	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.716	0.284	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.716	0.284	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.716	0.284	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.715	0.285	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.715	0.285	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.715	0.285	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.715	0.285	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.715	0.285	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.714	0.286	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.714	0.286	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.714	0.286	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.714	0.286	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.714	0.286	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.713	0.286	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.713	0.287	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.713	0.287	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.713	0.287	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.712	0.287	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.712	0.288	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.712	0.288	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.712	0.288	0.001
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.712	0.288	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.711	0.288	0.001
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.712	0.288	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.711	0.289	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.711	0.289	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.711	0.289	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.711	0.289	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.711	0.289	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.710	0.289	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.710	0.290	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.709	0.291	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.708	0.291	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.708	0.292	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.708	0.292	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.708	0.292	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.708	0.292	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.707	0.293	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.707	0.293	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.707	0.293	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.707	0.293	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.707	0.293	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.707	0.293	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.707	0.293	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.706	0.293	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.706	0.293	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.706	0.293	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.706	0.294	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.706	0.294	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.706	0.294	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.706	0.294	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.705	0.295	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.704	0.296	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.704	0.296	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.704	0.296	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.704	0.296	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.703	0.297	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.703	0.297	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.702	0.297	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.702	0.297	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.702	0.298	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.702	0.298	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.702	0.298	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.702	0.298	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.702	0.298	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.701	0.299	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.701	0.299	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.700	0.300	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.700	0.300	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.699	0.300	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.699	0.301	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.699	0.301	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.698	0.302	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.696	0.303	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.696	0.304	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.696	0.304	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.696	0.304	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.696	0.304	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.695	0.305	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.695	0.305	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.694	0.305	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.694	0.305	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.694	0.306	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.694	0.306	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.693	0.307	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.693	0.307	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.693	0.307	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.693	0.307	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.693	0.307	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.693	0.307	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.693	0.307	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.693	0.307	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.692	0.307	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.692	0.307	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.692	0.308	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.692	0.308	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.692	0.308	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.692	0.308	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.692	0.308	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.692	0.308	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.691	0.309	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.691	0.309	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.691	0.309	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.691	0.309	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.690	0.310	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.690	0.310	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.690	0.310	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.690	0.310	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.690	0.310	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.690	0.310	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.690	0.310	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.690	0.310	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.690	0.310	0.000
rs12189871 lBF = `142.293` Chr`6` : `31,251,924`	0.689	0.311	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.689	0.311	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.689	0.311	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.689	0.311	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.689	0.311	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.689	0.311	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.689	0.311	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.689	0.311	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.689	0.311	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.688	0.311	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.688	0.312	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.688	0.312	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.688	0.312	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.688	0.312	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.688	0.312	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.688	0.312	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.688	0.312	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.688	0.312	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.688	0.312	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.688	0.312	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.687	0.313	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.687	0.313	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.687	0.313	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.687	0.313	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.687	0.313	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.686	0.314	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.686	0.314	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.686	0.314	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.685	0.314	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.685	0.315	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.685	0.315	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.685	0.315	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.685	0.315	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.685	0.315	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.685	0.315	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.684	0.316	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.684	0.316	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.684	0.316	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.683	0.317	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.683	0.317	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.683	0.317	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.682	0.318	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.318	0.682
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.682	0.318	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.681	0.318	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.681	0.319	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.681	0.319	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.681	0.319	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.680	0.319	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.680	0.320	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.679	0.320	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.679	0.321	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.679	0.321	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.679	0.321	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.679	0.321	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.679	0.321	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.678	0.322	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.678	0.322	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.678	0.322	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.678	0.322	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.677	0.323	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.677	0.323	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.677	0.323	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.677	0.323	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.677	0.323	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.677	0.323	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.676	0.324	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.676	0.324	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.676	0.324	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.676	0.324	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.675	0.324	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.675	0.325	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.675	0.325	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.675	0.325	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.675	0.325	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.675	0.325	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.675	0.325	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.674	0.325	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.674	0.326	0.000
rs4696584 lBF = `0.72602` Chr`4` : `155,397,517`	0.674	0.326	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.674	0.326	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.674	0.326	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.673	0.327	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.673	0.327	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.673	0.327	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.673	0.327	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.673	0.327	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.672	0.327	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.672	0.328	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.672	0.328	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.672	0.328	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.671	0.328	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.671	0.328	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.671	0.329	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.671	0.329	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.671	0.329	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.671	0.329	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.671	0.329	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.670	0.329	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.670	0.329	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.670	0.330	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.670	0.330	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.670	0.330	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.670	0.330	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.670	0.330	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.670	0.330	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.670	0.330	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.669	0.331	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.669	0.331	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.669	0.331	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.669	0.331	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.669	0.331	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.669	0.331	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.668	0.331	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.668	0.332	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.668	0.332	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.668	0.332	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.668	0.332	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.668	0.332	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.667	0.332	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.667	0.332	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.667	0.333	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.667	0.333	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.667	0.333	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.667	0.333	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.667	0.333	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.667	0.333	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.667	0.333	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.667	0.333	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.666	0.334	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.666	0.334	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.666	0.334	0.000
rs6779678 lBF = `12.6162` Chr`3` : `149,225,903`	0.666	0.334	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.666	0.334	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.666	0.334	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.666	0.334	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.666	0.334	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.665	0.334	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.666	0.334	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.665	0.335	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.665	0.335	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.664	0.336	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.664	0.336	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.664	0.336	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.663	0.337	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.663	0.337	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.663	0.337	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.663	0.337	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.663	0.337	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.662	0.337	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.662	0.338	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.662	0.338	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.661	0.339	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.661	0.339	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.661	0.339	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.661	0.339	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.660	0.339	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.660	0.340	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.660	0.340	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.660	0.340	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.660	0.340	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.660	0.340	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.660	0.340	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.659	0.340	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.660	0.340	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.659	0.340	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.659	0.341	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.659	0.341	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.659	0.341	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.659	0.341	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.659	0.341	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.659	0.341	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.659	0.341	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.659	0.341	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.659	0.341	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.658	0.342	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.658	0.342	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.658	0.342	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.658	0.342	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.658	0.342	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.658	0.342	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.658	0.342	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.658	0.342	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.658	0.342	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.658	0.342	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.657	0.343	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.657	0.343	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.657	0.343	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.657	0.343	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

0.6228

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3818

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9771

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9732

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9695

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9606

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9605

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9567

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9565

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9540

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9497

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9431

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9406

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9403

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9372

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9366

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9354

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9333

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9304

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9291

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9267

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9241

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9241

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9223

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9214

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9213

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9199

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9192

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9108

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9099

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9097

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9066

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9055

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9011

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9006

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8974

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8971

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8921

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8900

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8849

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8846

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.8812

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8792

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8755

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.8714

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8692

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8685

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8672

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8660

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8639

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8585

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8580

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8556

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8536

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8482

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8454

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8447

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8415

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8405

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8335

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8317

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8305

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8302

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8290

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8180

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8177

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8161

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8153

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8080

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8065

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8037

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7998

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7965

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7933

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7923

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7916

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7887

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7879

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7834

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7833

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7820

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7803

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7798

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7720

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7696

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7691

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7641

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7601

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7594

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7586

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7557

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7532

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7523

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7515

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7442

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7429

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7403

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7391

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7365

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7338

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7309

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7308

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7298

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7267

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7253

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7247

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7245

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7223

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7223

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7210

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7155

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7110

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7084

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7073

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7067

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7067

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.7066

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7063

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7037

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6946

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6900

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6893

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6864

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6834

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6817

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6771

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6769

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6752

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6737

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6682

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6631

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6559

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6541

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6528

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6516

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6457

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6433

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6425

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6406

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6351

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6311

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6301

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6280

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6240

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6189

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6180

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6163

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6144

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6066

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6048

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6024

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6003

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5977

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5967

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5949

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5929

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5846

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5785

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5646

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5635

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5553

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5542

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5523

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5445

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5423

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5295

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5187

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5155

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5130

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5113

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5080

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5065

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5010

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4975

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4962

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4902

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4887

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4884

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4817

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4801

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4749

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4748

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4732

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4697

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4683

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4535

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4427

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4389

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4299

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4276

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4266

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4210

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4134

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4107

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4032

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4016

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3980

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3721

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3513

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3498

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3426

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3160

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3145

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2987

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2782

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2405

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1914

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1597

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1333

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1007

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0993

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0955

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0841

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0824

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.0767

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0695

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0691

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0568

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`)