TreeWAS – [T68] Hypothermia

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`	0.933	0.067	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.844	0.156	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.838	0.162	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.835	0.165	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.832	0.168	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.830	0.170	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.830	0.170	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.826	0.174	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.825	0.175	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.823	0.177	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.822	0.178	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.821	0.179	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.817	0.183	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.813	0.187	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.813	0.187	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.813	0.187	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.806	0.194	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.805	0.195	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.804	0.196	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.804	0.196	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.802	0.197	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.793	0.207	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.792	0.208	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.791	0.209	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.791	0.209	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.790	0.210	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.789	0.211	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.789	0.211	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.789	0.211	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.789	0.211	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.786	0.214	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.785	0.215	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.785	0.215	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.785	0.215	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.784	0.216	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.783	0.217	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.776	0.224	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.775	0.225	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.774	0.226	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.773	0.227	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.772	0.228	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.771	0.229	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.771	0.229	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.766	0.234	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.765	0.235	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.765	0.235	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.762	0.238	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.761	0.239	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.761	0.239	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.761	0.239	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.761	0.239	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.759	0.241	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.759	0.241	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.759	0.241	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.758	0.242	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.757	0.243	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.757	0.243	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.757	0.243	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.754	0.246	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.754	0.246	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.754	0.246	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.752	0.248	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.751	0.249	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.751	0.249	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.750	0.250	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.750	0.250	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.749	0.251	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.749	0.251	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.749	0.251	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.747	0.253	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.745	0.255	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.745	0.255	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.744	0.255	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.742	0.258	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.742	0.258	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.742	0.258	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.741	0.259	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.741	0.259	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.740	0.260	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.739	0.261	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.739	0.261	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.739	0.261	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.739	0.261	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.739	0.261	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.739	0.261	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.738	0.261	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.738	0.262	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.737	0.263	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.737	0.263	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.735	0.265	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.735	0.265	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.734	0.266	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.734	0.266	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.734	0.266	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.732	0.268	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.732	0.268	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.732	0.268	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.732	0.268	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.731	0.269	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.731	0.269	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.731	0.269	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.731	0.269	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.730	0.270	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.730	0.270	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.730	0.270	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.729	0.271	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.728	0.272	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.728	0.272	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.727	0.273	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.727	0.273	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.726	0.274	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.726	0.274	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.725	0.275	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.725	0.275	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.725	0.275	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.725	0.275	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.724	0.276	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.724	0.276	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.723	0.277	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.722	0.278	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.722	0.278	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.721	0.279	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.721	0.279	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.720	0.280	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.718	0.282	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.718	0.282	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.717	0.282	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.716	0.283	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.716	0.284	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.716	0.284	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.716	0.284	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.716	0.284	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.715	0.285	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.715	0.285	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.714	0.286	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.714	0.286	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.713	0.287	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.713	0.287	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.713	0.287	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.713	0.287	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.713	0.287	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.712	0.288	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.711	0.289	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.711	0.289	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.710	0.290	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.710	0.290	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.709	0.291	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.709	0.291	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.709	0.291	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.709	0.291	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.708	0.292	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.708	0.292	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.708	0.292	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.708	0.292	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.708	0.292	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.707	0.293	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.707	0.293	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.707	0.293	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.706	0.294	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.705	0.295	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.705	0.295	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.705	0.295	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.704	0.295	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.704	0.296	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.704	0.296	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.703	0.297	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.703	0.297	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.703	0.297	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.702	0.298	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.702	0.298	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.702	0.298	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.701	0.299	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.701	0.299	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.701	0.299	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.701	0.299	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.699	0.300	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.699	0.300	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.699	0.301	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.698	0.302	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.698	0.302	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.698	0.302	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.698	0.302	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.698	0.302	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.698	0.302	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.698	0.302	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.697	0.303	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.697	0.303	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.697	0.303	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.697	0.303	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.697	0.303	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.696	0.304	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.696	0.304	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.696	0.304	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.696	0.304	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.696	0.304	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.695	0.305	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.695	0.305	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.695	0.305	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.695	0.305	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.694	0.306	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.694	0.306	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.694	0.306	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.693	0.306	0.000
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rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.655	0.345	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.655	0.345	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.655	0.345	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.655	0.345	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.654	0.345	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.654	0.346	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.654	0.346	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.654	0.346	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.654	0.346	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.654	0.346	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.654	0.346	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.653	0.346	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.653	0.347	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.653	0.347	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.653	0.347	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.653	0.347	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.653	0.347	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.653	0.347	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.653	0.347	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.653	0.347	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.653	0.347	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.652	0.347	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.652	0.348	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.652	0.348	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.652	0.348	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.652	0.348	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.651	0.349	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.651	0.349	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.651	0.349	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.651	0.349	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.349	0.651
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.651	0.349	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.651	0.349	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.651	0.349	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.650	0.349	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.650	0.350	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.650	0.350	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.650	0.350	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.650	0.350	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.650	0.350	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.650	0.350	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.650	0.350	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.649	0.351	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.649	0.351	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.649	0.351	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.649	0.351	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.649	0.351	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.649	0.351	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.649	0.351	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.648	0.351	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.648	0.352	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.648	0.352	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.648	0.352	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.648	0.352	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.648	0.352	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.648	0.352	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.647	0.353	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.647	0.353	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.647	0.353	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.647	0.353	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.647	0.353	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.647	0.353	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.647	0.353	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.647	0.353	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.647	0.353	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.646	0.354	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.646	0.354	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.646	0.354	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.646	0.354	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.646	0.354	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.646	0.354	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.645	0.354	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.645	0.354	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.645	0.355	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.645	0.355	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.645	0.355	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.645	0.355	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.645	0.355	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.644	0.356	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.644	0.356	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.644	0.356	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.644	0.356	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.644	0.356	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.644	0.356	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.643	0.356	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.643	0.356	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.643	0.356	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.643	0.356	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.643	0.357	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.643	0.357	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.643	0.357	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.643	0.357	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.643	0.357	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.643	0.357	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.642	0.357	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

0.5880

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4083

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9986

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9922

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9918

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9875

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9874

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9843

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9737

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9725

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9688

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9663

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9599

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9566

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9529

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9515

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9505

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9477

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9440

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9409

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9391

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9391

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9383

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9344

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9259

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9251

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9200

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9174

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9151

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9140

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9100

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9093

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9082

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8957

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8955

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8951

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8915

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8912

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8898

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8892

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8773

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8752

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8721

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8709

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8666

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8533

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8533

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8488

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8472

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8455

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8454

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8437

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8428

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8417

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8410

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8403

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8401

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8361

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8305

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8264

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8254

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8207

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8188

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8172

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8166

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8145

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8093

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8061

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8032

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8016

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8016

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7991

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7984

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7937

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7880

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7862

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7853

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7834

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7803

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7797

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7777

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7760

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7733

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7696

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7671

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7649

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7647

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7633

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7605

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7572

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7506

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7500

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7476

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7468

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7460

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7459

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7425

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7415

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7411

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7410

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7396

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7395

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7374

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7361

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7345

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7328

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7308

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7260

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7260

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7253

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7252

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7237

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7197

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7121

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7120

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7116

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7107

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7106

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7105

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7086

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7084

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7038

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7023

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6956

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6935

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6900

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6890

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6869

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6825

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6814

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6808

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6803

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6799

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6785

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6769

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6762

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6712

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6591

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6578

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6525

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6524

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6425

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6401

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6340

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6333

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6292

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6270

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6266

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6146

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6121

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6116

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6109

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6105

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6085

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6036

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6032

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6009

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5970

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5935

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5916

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5882

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5868

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5863

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5829

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5825

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5821

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5742

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5716

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5660

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5524

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5323

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5124

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5116

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5077

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4873

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4753

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4680

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4680

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4610

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4518

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4481

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4442

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4408

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4354

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4338

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4305

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4244

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4212

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4182

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4161

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4038

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3972

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3188

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2879

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2735

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2631

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2558

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2394

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2349

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2332

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2050

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2023

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1964

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1843

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1765

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1551

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1474

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1257

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1184

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0800

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0681

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0589

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0568

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0551

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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)