TreeWAS – [S64.3] Injury of digital nerve of thumb

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
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.835	0.165	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.829	0.171	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.822	0.178	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.807	0.193	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.804	0.196	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.803	0.197	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.795	0.205	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.791	0.209	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.785	0.215	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.781	0.219	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.779	0.221	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.773	0.227	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.768	0.232	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.758	0.242	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.755	0.245	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.754	0.246	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.751	0.249	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.751	0.249	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.749	0.250	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.749	0.251	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.747	0.253	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.745	0.255	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.738	0.262	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.737	0.263	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.735	0.265	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.734	0.266	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.734	0.266	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.733	0.267	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.733	0.267	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.732	0.268	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.731	0.269	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.729	0.271	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.728	0.271	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.728	0.272	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.726	0.274	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.725	0.275	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.723	0.277	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.723	0.277	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.723	0.277	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.722	0.278	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.719	0.280	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.715	0.284	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.715	0.285	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.714	0.286	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.714	0.286	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.713	0.287	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.713	0.287	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.713	0.287	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.707	0.293	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.705	0.295	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.704	0.296	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.703	0.297	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.702	0.298	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.701	0.299	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.701	0.299	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.701	0.299	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.700	0.300	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.700	0.300	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.700	0.300	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.699	0.301	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.699	0.301	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.698	0.302	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.697	0.303	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.697	0.303	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.695	0.305	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.695	0.305	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.694	0.306	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.694	0.306	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.693	0.307	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.692	0.308	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.691	0.309	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.690	0.310	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.688	0.312	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.687	0.313	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.686	0.314	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.686	0.314	0.000
rs680753 lBF = `3.47044` Chr`11` : `102,711,581`	0.686	0.314	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.686	0.314	0.000
rs569444 lBF = `2.966` Chr`11` : `102,707,305`	0.685	0.315	0.000
rs563096 lBF = `2.966` Chr`11` : `102,707,366`	0.685	0.315	0.000
rs605949 lBF = `2.966` Chr`11` : `102,705,747`	0.685	0.315	0.000
rs476762 lBF = `3.26344` Chr`11` : `102,710,707`	0.685	0.315	0.000
rs593698 lBF = `2.96088` Chr`11` : `102,704,476`	0.685	0.315	0.000
rs646910 lBF = `2.95877` Chr`11` : `102,709,522`	0.685	0.315	0.000
rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.685	0.315	0.000
rs566125 lBF = `3.22901` Chr`11` : `102,710,471`	0.684	0.316	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.684	0.316	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.684	0.316	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.683	0.317	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.683	0.317	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.683	0.317	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.683	0.317	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.682	0.318	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.682	0.318	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.682	0.318	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.682	0.318	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.680	0.320	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.680	0.320	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.680	0.320	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.679	0.321	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.679	0.321	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.679	0.321	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.676	0.324	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.675	0.325	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.675	0.325	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.675	0.325	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.673	0.327	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.673	0.327	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.673	0.327	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.673	0.327	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.672	0.328	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.672	0.328	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.671	0.329	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.671	0.329	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.670	0.330	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.670	0.330	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.669	0.331	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.669	0.331	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.669	0.331	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.668	0.332	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.668	0.332	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.668	0.332	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.667	0.333	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.666	0.334	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.666	0.334	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.665	0.335	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.664	0.336	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.663	0.337	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.662	0.338	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.661	0.339	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.661	0.339	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.661	0.339	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.660	0.339	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.660	0.339	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.660	0.340	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.659	0.340	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.659	0.341	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.657	0.343	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.657	0.343	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.657	0.343	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.656	0.344	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.656	0.344	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.655	0.345	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.654	0.346	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.653	0.347	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.653	0.347	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.651	0.349	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.650	0.350	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.650	0.350	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.650	0.350	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.649	0.350	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.649	0.350	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.649	0.351	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.649	0.351	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.649	0.351	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.649	0.351	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.648	0.352	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.647	0.353	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.645	0.355	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.644	0.356	0.000
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.644	0.356	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.644	0.356	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.643	0.357	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.640	0.360	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.639	0.361	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.639	0.361	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.639	0.361	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.639	0.361	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.637	0.363	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.637	0.363	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.637	0.363	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.637	0.363	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.636	0.364	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.636	0.364	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.634	0.366	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.634	0.366	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.633	0.367	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.633	0.367	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.633	0.367	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.633	0.367	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.633	0.367	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.633	0.367	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.633	0.367	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.632	0.368	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.632	0.368	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.631	0.368	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.631	0.369	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.630	0.370	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.630	0.370	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.630	0.370	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.630	0.370	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.630	0.370	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.629	0.371	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.629	0.371	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.629	0.371	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.629	0.371	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.628	0.372	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.627	0.373	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.627	0.373	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.627	0.373	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.626	0.374	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.626	0.374	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.626	0.374	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.626	0.374	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.626	0.374	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.626	0.374	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.626	0.374	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.625	0.375	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.625	0.375	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.624	0.375	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.624	0.376	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.624	0.376	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.623	0.376	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.623	0.377	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.623	0.377	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.623	0.377	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.622	0.378	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.622	0.378	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.622	0.378	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.621	0.379	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.620	0.380	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.620	0.380	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.620	0.380	0.000
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rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.619	0.381	0.000
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rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.618	0.382	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.618	0.382	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.618	0.382	0.000
rs9309413 lBF = `1.3917` Chr`2` : `68,570,772`	0.000	0.382	0.618
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.617	0.382	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.617	0.383	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.617	0.383	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.616	0.384	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.615	0.385	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.614	0.386	0.000
rs494963 lBF = `2.30768` Chr`11` : `102,715,826`	0.614	0.386	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.614	0.386	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.614	0.386	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.613	0.387	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.613	0.387	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.612	0.388	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.612	0.388	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.611	0.389	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.611	0.389	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.611	0.389	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.611	0.389	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.611	0.389	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.610	0.389	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.610	0.390	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.610	0.390	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.610	0.390	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.610	0.390	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.610	0.390	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.610	0.390	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.609	0.390	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.609	0.390	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.609	0.391	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.609	0.391	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.609	0.391	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.609	0.391	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.608	0.392	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.608	0.392	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.608	0.392	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.607	0.393	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.607	0.393	0.000
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rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.606	0.394	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.606	0.394	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.605	0.395	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.604	0.395	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.604	0.396	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.604	0.396	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.604	0.396	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.604	0.396	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.604	0.396	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.604	0.396	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.604	0.396	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.603	0.397	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.603	0.397	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.603	0.397	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.602	0.398	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.602	0.398	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.601	0.398	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.601	0.399	0.000
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rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.600	0.400	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.599	0.401	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.599	0.401	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.599	0.401	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.598	0.402	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.598	0.402	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.598	0.402	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.597	0.403	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.597	0.403	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.597	0.403	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.596	0.404	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.595	0.405	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.595	0.405	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.594	0.406	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.594	0.406	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.594	0.406	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.593	0.406	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.593	0.407	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.593	0.407	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.593	0.407	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.593	0.407	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.593	0.407	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.593	0.407	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.592	0.408	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.592	0.408	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.592	0.408	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.591	0.408	0.000
rs61819425 lBF = `15.4159` Chr`1` : `114,136,618`	0.591	0.409	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.590	0.409	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.589	0.411	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.589	0.411	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.589	0.411	0.000
rs17361668 lBF = `3.61942` Chr`11` : `102,720,344`	0.589	0.411	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.588	0.411	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.588	0.412	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.588	0.412	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.588	0.412	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.588	0.412	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.588	0.412	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.587	0.412	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.587	0.413	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.587	0.413	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.587	0.413	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.587	0.413	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.587	0.413	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.587	0.413	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.587	0.413	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.586	0.414	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.586	0.414	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.586	0.414	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.585	0.415	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.585	0.415	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.585	0.415	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.585	0.415	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.585	0.415	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.584	0.415	0.000
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rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.584	0.416	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.583	0.416	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.583	0.417	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.583	0.417	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.583	0.417	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.583	0.417	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.582	0.417	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.582	0.418	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.582	0.418	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.582	0.418	0.000
rs114176245 lBF = `3.47129` Chr`11` : `102,719,534`	0.581	0.419	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.581	0.419	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.581	0.419	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.581	0.419	0.000
rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.581	0.419	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.581	0.419	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.580	0.419	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.580	0.419	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.580	0.420	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.580	0.420	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.580	0.420	0.000
rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.580	0.420	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.580	0.420	0.000
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rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.580	0.420	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.580	0.420	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.579	0.420	0.000
rs737693 lBF = `3.47867` Chr`11` : `102,726,142`	0.580	0.420	0.000
rs72983508 lBF = `3.47867` Chr`11` : `102,727,409`	0.580	0.420	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.579	0.420	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.579	0.421	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.579	0.421	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.579	0.421	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.579	0.421	0.000
rs72981698 lBF = `3.46896` Chr`11` : `102,726,540`	0.579	0.421	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.579	0.421	0.000
rs72983513 lBF = `3.46329` Chr`11` : `102,728,985`	0.579	0.421	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.578	0.422	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.578	0.422	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.578	0.422	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.578	0.422	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.578	0.422	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.578	0.422	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.578	0.422	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.578	0.422	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.578	0.422	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.578	0.422	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.578	0.422	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.578	0.422	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.577	0.423	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.577	0.423	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.577	0.423	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.577	0.423	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.576	0.423	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.576	0.424	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.576	0.424	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.576	0.424	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.575	0.425	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.575	0.425	0.000
rs28381684 lBF = `3.482` Chr`11` : `102,737,192`	0.575	0.425	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.575	0.425	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.575	0.425	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.574	0.426	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.574	0.426	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.574	0.426	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.574	0.426	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.574	0.426	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.573	0.427	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.573	0.427	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.573	0.427	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.573	0.427	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.573	0.427	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.573	0.427	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.573	0.427	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.573	0.427	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.572	0.428	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.572	0.428	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.572	0.428	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.572	0.428	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.572	0.428	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.571	0.429	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.571	0.429	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.571	0.429	0.000
rs17368814 lBF = `2.93354` Chr`11` : `102,748,695`	0.571	0.429	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.571	0.429	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.571	0.429	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.571	0.429	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.571	0.429	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.571	0.429	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.570	0.430	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.570	0.430	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.569	0.431	0.000
rs2276109 lBF = `2.87352` Chr`11` : `102,745,791`	0.569	0.431	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.569	0.431	0.000
rs17368582 lBF = `3.25453` Chr`11` : `102,738,075`	0.569	0.431	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.568	0.432	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.568	0.432	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.568	0.432	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.567	0.432	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.567	0.432	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.567	0.433	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.567	0.433	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.567	0.433	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.567	0.433	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.567	0.433	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.566	0.433	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.566	0.434	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.566	0.434	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.566	0.434	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.566	0.434	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.566	0.434	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.566	0.434	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.565	0.434	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.565	0.434	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.565	0.434	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.565	0.435	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.565	0.435	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.565	0.435	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.565	0.435	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.564	0.436	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.564	0.436	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.564	0.436	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.564	0.436	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.564	0.436	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.564	0.436	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.564	0.436	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.564	0.436	0.000
rs3850370 lBF = `2.26745` Chr`14` : `78,534,906`	0.564	0.436	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.563	0.436	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.563	0.436	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.563	0.437	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.563	0.437	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.563	0.437	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.563	0.437	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.563	0.437	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.563	0.437	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.562	0.437	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.562	0.438	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.562	0.438	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.562	0.438	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.562	0.438	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.438	0.561
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.561	0.439	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.560	0.439	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.560	0.440	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.560	0.440	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.560	0.440	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.560	0.440	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.560	0.440	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.560	0.440	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.560	0.440	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.559	0.441	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.559	0.441	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.559	0.441	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.559	0.441	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.559	0.441	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.559	0.441	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

0.2477

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1882

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9875

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9501

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9493

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9406

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9375

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9370

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9364

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9357

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9329

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9322

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9277

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9112

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9100

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9089

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9006

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8974

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8918

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8906

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8899

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8868

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8823

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8805

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8747

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8695

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8682

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8525

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8409

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8397

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8341

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8314

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8234

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8172

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8151

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8145

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8138

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8136

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8131

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8082

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8079

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8078

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8069

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8044

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8019

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8009

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7997

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7978

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7957

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7950

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7913

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7910

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7902

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7899

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7899

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7895

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7858

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7849

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7796

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7719

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7648

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7640

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7598

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7518

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7518

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7496

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7394

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7378

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7376

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7373

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7335

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7301

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7209

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7199

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7164

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7116

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7089

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7085

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7063

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7059

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7059

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7057

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7045

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7016

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6996

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6978

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6977

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6956

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6950

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6907

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6873

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6867

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6857

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6807

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6799

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6686

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6675

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6645

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6637

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6595

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6565

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6537

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6382

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6354

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6330

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6307

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6302

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6296

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6265

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6259

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6253

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6229

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6219

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6202

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6177

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6138

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6116

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6069

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5908

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5884

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5858

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5821

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5674

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5666

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5632

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5628

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5627

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5613

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5553

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5537

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5464

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5452

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5410

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5318

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5306

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5223

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5220

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5147

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5136

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5113

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5081

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5039

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4983

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4933

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4907

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4896

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4891

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4628

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4596

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4436

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4379

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4300

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4256

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4209

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4195

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4058

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3942

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3936

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3923

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3847

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3805

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3613

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3547

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3540

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3526

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3522

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3434

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3373

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3203

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3196

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2479

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2456

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2427

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2101

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.1936

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1908

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1820

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1803

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1781

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1763

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1713

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1682

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1506

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1491

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1413

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1355

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1302

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1293

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1229

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1165

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0994

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0792

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0757

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0622

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0541

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`)