TreeWAS – [M47.2] Other spondylosis with radiculopathy

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
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.953	0.047	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.888	0.112	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.887	0.113	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.837	0.163	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.831	0.169	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.821	0.179	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.818	0.182	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.808	0.192	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.794	0.206	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.788	0.212	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.777	0.223	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.772	0.228	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.763	0.237	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.740	0.259	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.740	0.260	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.711	0.289	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.699	0.301	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.697	0.303	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.694	0.305	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.691	0.309	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.682	0.318	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.666	0.334	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.656	0.344	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.650	0.350	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.648	0.352	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.648	0.352	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.647	0.353	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.646	0.354	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.640	0.360	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.637	0.363	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.635	0.365	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.631	0.369	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.631	0.369	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.631	0.369	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.628	0.372	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.627	0.373	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.621	0.379	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.618	0.382	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.610	0.390	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.609	0.391	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.602	0.398	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.598	0.402	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.598	0.402	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.597	0.403	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.594	0.406	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.590	0.409	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.582	0.417	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.576	0.424	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.573	0.427	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.572	0.428	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.572	0.428	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.572	0.428	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.571	0.429	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.571	0.429	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.561	0.439	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.557	0.443	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.557	0.443	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.549	0.451	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.549	0.451	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.549	0.451	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.548	0.452	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.548	0.452	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.537	0.462	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.535	0.464	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.535	0.465	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.534	0.466	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.526	0.474	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.521	0.479	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.521	0.479	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.520	0.480	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.518	0.482	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.515	0.485	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.500	0.500	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.498	0.502	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.498	0.502	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.497	0.503	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.496	0.504	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.493	0.506	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.489	0.511	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.488	0.512	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.488	0.512	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.487	0.513	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.487	0.513	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.485	0.515	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.485	0.515	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.481	0.519	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.480	0.520	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.476	0.523	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.471	0.529	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.471	0.529	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.470	0.529	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.466	0.534	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.465	0.535	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.457	0.543	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.454	0.546	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.452	0.548	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.449	0.551	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.448	0.552	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.446	0.554	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.443	0.557	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.437	0.563	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.436	0.563	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.435	0.565	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.432	0.568	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.426	0.574	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.425	0.575	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.421	0.579	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.418	0.582	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.417	0.583	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.416	0.584	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.415	0.584	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.414	0.586	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.409	0.591	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.400	0.600	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.399	0.601	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.398	0.602	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.397	0.603	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.395	0.605	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.391	0.609	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.391	0.609	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.390	0.610	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.386	0.613	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.386	0.613	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.384	0.616	0.000
rs17035310 lBF = `0.857621` Chr`4` : `106,064,754`	0.382	0.617	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.379	0.621	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.376	0.624	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.376	0.624	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.373	0.627	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.373	0.627	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.370	0.630	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.369	0.631	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.366	0.634	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.362	0.638	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.361	0.639	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.360	0.640	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.359	0.641	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.646	0.353
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.353	0.647	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.352	0.648	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.348	0.652	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.346	0.654	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.344	0.656	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.344	0.656	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.343	0.657	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.343	0.657	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.343	0.657	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.342	0.658	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.338	0.662	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.336	0.663	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.335	0.665	0.001
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.335	0.665	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.331	0.669	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.330	0.670	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.326	0.674	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.326	0.674	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.325	0.675	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.319	0.680	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.319	0.681	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.318	0.682	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.316	0.684	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.314	0.686	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.314	0.686	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.313	0.687	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.312	0.688	0.000
rs2579330 lBF = `0.275472` Chr`4` : `72,126,889`	0.310	0.689	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.308	0.691	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.307	0.692	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.307	0.693	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.306	0.694	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.304	0.696	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.302	0.698	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.301	0.699	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.300	0.700	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.296	0.704	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.287	0.713	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.286	0.713	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.284	0.715	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.282	0.718	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.281	0.718	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.278	0.721	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.278	0.722	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.276	0.724	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.274	0.726	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.273	0.727	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.270	0.729	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.266	0.734	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.262	0.738	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.261	0.739	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.258	0.741	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.258	0.741	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.256	0.744	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.253	0.747	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.251	0.748	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.244	0.756	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.242	0.758	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.240	0.760	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.236	0.764	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.236	0.764	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.236	0.764	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.236	0.764	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.236	0.764	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.236	0.764	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.236	0.764	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.236	0.764	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.236	0.764	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.236	0.764	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.236	0.764	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.235	0.765	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.235	0.765	0.000
rs16844401 lBF = `0.377448` Chr`4` : `3,449,652`	0.233	0.767	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.222	0.778	0.000
rs55901496 lBF = `0.333042` Chr`4` : `98,549,992`	0.222	0.778	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.215	0.785	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.215	0.785	0.000
rs16850885 lBF = `1.5091` Chr`4` : `75,170,140`	0.214	0.786	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.214	0.786	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.206	0.794	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.206	0.794	0.000
rs60217712 lBF = `0.296479` Chr`4` : `98,553,816`	0.206	0.794	0.000
rs2078362 lBF = `0.296479` Chr`4` : `98,552,759`	0.206	0.794	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.201	0.799	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.200	0.800	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.199	0.801	0.001
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.199	0.801	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.196	0.803	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.190	0.810	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.189	0.810	0.001
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.188	0.811	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.185	0.814	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.184	0.815	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.175	0.824	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.175	0.825	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.173	0.826	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.172	0.828	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.172	0.828	0.000
rs17026850 lBF = `0.237653` Chr`4` : `98,550,873`	0.169	0.831	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.169	0.831	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.165	0.835	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.164	0.836	0.000
rs16850864 lBF = `1.15468` Chr`4` : `75,160,824`	0.163	0.837	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.163	0.837	0.000
rs78681061 lBF = `0.230505` Chr`4` : `98,545,626`	0.162	0.838	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.162	0.838	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.161	0.838	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.156	0.844	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.153	0.847	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.152	0.848	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.151	0.848	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.150	0.850	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.148	0.852	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.141	0.859	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.138	0.862	0.000
rs72890876 lBF = `0.195334` Chr`4` : `98,565,579`	0.136	0.864	0.000
rs148460633 lBF = `0.195334` Chr`4` : `98,556,782`	0.136	0.864	0.000
rs1012333 lBF = `0.195334` Chr`4` : `98,562,157`	0.136	0.864	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.135	0.865	0.000
rs6858365 lBF = `0.381368` Chr`4` : `12,172,669`	0.135	0.865	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.134	0.865	0.001
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.134	0.866	0.000
rs6054 lBF = `0.191228` Chr`4` : `155,489,608`	0.132	0.867	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.131	0.869	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.129	0.871	0.000
rs2136082 lBF = `0.181636` Chr`4` : `98,551,993`	0.126	0.873	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.126	0.874	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.122	0.878	0.000
rs17026855 lBF = `0.160103` Chr`4` : `98,591,389`	0.120	0.879	0.000
rs7672495 lBF = `0.343551` Chr`4` : `4,992,367`	0.117	0.883	0.000
rs17484474 lBF = `0.150019` Chr`4` : `82,126,121`	0.114	0.886	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.110	0.889	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.105	0.895	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.103	0.897	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.103	0.897	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.101	0.899	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.100	0.900	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.098	0.902	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.098	0.902	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.098	0.902	0.001
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.097	0.902	0.000
rs148750727 lBF = `0.143412` Chr`4` : `188,022,952`	0.097	0.902	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.096	0.903	0.000
rs10032909 lBF = `0.16701` Chr`4` : `79,970,208`	0.096	0.904	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.095	0.904	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.094	0.906	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.093	0.907	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.093	0.907	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.092	0.908	0.000
rs17199964 lBF = `7.22049` Chr`4` : `102,707,791`	0.091	0.908	0.000
rs902464 lBF = `0.590214` Chr`4` : `155,316,122`	0.000	0.909	0.091
rs61012000 lBF = `0.116413` Chr`4` : `98,625,240`	0.089	0.911	0.000
rs58724568 lBF = `0.116413` Chr`4` : `98,628,760`	0.089	0.911	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.088	0.912	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.087	0.913	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.076	0.913	0.011
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.087	0.913	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.086	0.913	0.000
rs58111058 lBF = `0.123983` Chr`4` : `98,597,543`	0.085	0.914	0.000
rs233817 lBF = `0.167097` Chr`4` : `103,204,845`	0.084	0.916	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.080	0.920	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.076	0.924	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.076	0.924	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.071	0.929	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.065	0.935	0.000
rs7658560 lBF = `0.0915182` Chr`4` : `98,635,372`	0.062	0.937	0.000
rs7658798 lBF = `0.0915182` Chr`4` : `98,635,585`	0.062	0.937	0.000
rs72877580 lBF = `0.0915182` Chr`4` : `98,629,499`	0.062	0.937	0.000
rs7669317 lBF = `0.228724` Chr`4` : `106,457,330`	0.061	0.939	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.060	0.940	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.059	0.941	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.059	0.941	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.055	0.944	0.000
rs143638193 lBF = `0.62416` Chr`4` : `141,500,705`	0.054	0.945	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.054	0.946	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.054	0.946	0.000
rs17031508 lBF = `0.0412299` Chr`4` : `102,560,290`	0.053	0.947	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.053	0.947	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.050	0.949	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.049	0.950	0.001
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.048	0.952	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.046	0.954	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.046	0.954	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.045	0.955	0.000
rs1511453 lBF = `0.95307` Chr`4` : `23,588,462`	0.043	0.957	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.042	0.957	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.041	0.959	0.000
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.039	0.961	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.037	0.962	0.001
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.036	0.964	0.000
rs10027628 lBF = `0.0331611` Chr`4` : `95,643,957`	0.035	0.965	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.034	0.966	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.033	0.967	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.033	0.967	0.000
rs77156671 lBF = `0.0438365` Chr`4` : `165,400,820`	0.032	0.967	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.032	0.968	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.031	0.968	0.001
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.026	0.972	0.001
rs7662987 lBF = `-0.0317889` Chr`4` : `99,991,642`	0.027	0.973	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.026	0.974	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.023	0.976	0.001
rs16995986 lBF = `0.0261092` Chr`4` : `86,693,317`	0.023	0.977	0.000
rs13107461 lBF = `0.111904` Chr`4` : `68,978,569`	0.023	0.977	0.000
rs2389202 lBF = `0.0765926` Chr`4` : `117,254,289`	0.018	0.981	0.000
rs78647349 lBF = `0.136071` Chr`4` : `5,237,153`	0.000	0.982	0.018
rs10023113 lBF = `0.065108` Chr`4` : `114,546,704`	0.000	0.982	0.018
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.018	0.982	0.000
rs113082832 lBF = `0.0644437` Chr`4` : `25,443,604`	0.017	0.983	0.000
rs147576484 lBF = `0.0316914` Chr`4` : `98,560,570`	0.016	0.984	0.000
rs112000748 lBF = `-0.0416644` Chr`4` : `124,915,279`	0.016	0.984	0.000
rs2728125 lBF = `10.8926` Chr`4` : `89,001,893`	0.015	0.984	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.015	0.985	0.000
rs6818964 lBF = `0.190934` Chr`4` : `73,970,464`	0.014	0.986	0.000
rs17028615 lBF = `0.020944` Chr`4` : `100,071,924`	0.014	0.986	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.013	0.986	0.000
rs17026425 lBF = `0.121231` Chr`4` : `150,672,514`	0.013	0.987	0.000
rs7695246 lBF = `0.0166917` Chr`4` : `110,688,812`	0.000	0.987	0.013
rs185438855 lBF = `0.0170967` Chr`4` : `132,061,770`	0.013	0.987	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.002	0.988	0.011
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.012	0.988	0.000
rs361171 lBF = `-0.0508624` Chr`4` : `152,785,361`	0.000	0.988	0.012
rs573332 lBF = `0.0143991` Chr`4` : `13,122,535`	0.011	0.989	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.010	0.989	0.001
rs3805322 lBF = `0.019787` Chr`4` : `100,056,998`	0.011	0.989	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.011	0.989	0.000
rs6531296 lBF = `0.140136` Chr`4` : `34,154,089`	0.010	0.989	0.000
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.000	0.990	0.010
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.010	0.990	0.001
rs4148157 lBF = `13.1968` Chr`4` : `89,020,934`	0.009	0.991	0.000
rs78295376 lBF = `-0.0125619` Chr`4` : `76,495,491`	0.009	0.991	0.000
rs17885864 lBF = `0.166926` Chr`4` : `41,747,899`	0.008	0.991	0.000
rs35476224 lBF = `-0.0318736` Chr`4` : `591,473`	0.008	0.992	0.000
rs72728723 lBF = `0.0660869` Chr`4` : `140,520,528`	0.008	0.992	0.000
rs77389579 lBF = `0.0218785` Chr`4` : `143,538,511`	0.008	0.992	0.000
rs4148155 lBF = `25.1893` Chr`4` : `89,054,667`	0.008	0.992	0.001
rs17014483 lBF = `0.0121153` Chr`4` : `89,667,591`	0.008	0.992	0.000
rs4074082 lBF = `-0.0154162` Chr`4` : `15,233,866`	0.000	0.993	0.007
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.006	0.993	0.002
rs342958 lBF = `0.010874` Chr`4` : `86,280,638`	0.007	0.993	0.000
rs17586843 lBF = `-0.0173908` Chr`4` : `116,924,184`	0.007	0.993	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.007	0.993	0.000
rs1481012 lBF = `25.0033` Chr`4` : `89,039,082`	0.006	0.993	0.001
rs7676999 lBF = `-0.0158891` Chr`4` : `116,934,079`	0.007	0.993	0.000
rs340635 lBF = `0.0409992` Chr`4` : `87,931,404`	0.006	0.993	0.000
rs7698171 lBF = `5.08652` Chr`4` : `95,089,869`	0.006	0.994	0.000
rs191279589 lBF = `0.00997814` Chr`4` : `105,605,997`	0.006	0.994	0.000
rs16839553 lBF = `0.0887069` Chr`4` : `7,018,185`	0.006	0.994	0.000
rs1789891 lBF = `10.4358` Chr`4` : `100,250,419`	0.006	0.994	0.000
rs1023721 lBF = `0.0104854` Chr`4` : `21,206,490`	0.006	0.994	0.000
rs2231142 lBF = `25.0085` Chr`4` : `89,052,323`	0.005	0.994	0.000
rs894638 lBF = `-0.0871552` Chr`4` : `16,119,672`	0.006	0.994	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.005	0.995	0.000
rs6853847 lBF = `0.268948` Chr`4` : `92,917,215`	0.005	0.995	0.000
rs1008728 lBF = `8.41444` Chr`4` : `187,226,673`	0.000	0.995	0.005
rs189421534 lBF = `0.00665442` Chr`4` : `9,592,033`	0.004	0.995	0.000
rs6841898 lBF = `0.0365922` Chr`4` : `24,578,097`	0.004	0.996	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.004	0.996	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.004	0.996	0.000
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.004	0.996	0.000
rs491376 lBF = `0.00435815` Chr`4` : `13,116,762`	0.004	0.996	0.000
rs7666831 lBF = `0.00553227` Chr`4` : `93,321,027`	0.003	0.996	0.000
rs76289367 lBF = `-0.0269133` Chr`4` : `155,546,159`	0.000	0.996	0.004
rs1912528 lBF = `0.00876936` Chr`4` : `140,945,966`	0.000	0.996	0.003
rs1531070 lBF = `0.29748` Chr`4` : `140,795,327`	0.000	0.997	0.003
rs2123959 lBF = `-0.0552619` Chr`4` : `91,720,598`	0.000	0.997	0.003
rs488400 lBF = `-0.0900235` Chr`4` : `152,782,878`	0.000	0.997	0.003
rs12500426 lBF = `1.65361` Chr`4` : `95,514,609`	0.000	0.997	0.003
rs7664442 lBF = `0.195342` Chr`4` : `23,018,704`	0.003	0.997	0.000
rs190999252 lBF = `0.0862508` Chr`4` : `92,847,036`	0.003	0.997	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.997	0.003
rs10489087 lBF = `0.0353696` Chr`4` : `13,794,416`	0.003	0.997	0.000
rs10516173 lBF = `-0.0912065` Chr`4` : `5,153,145`	0.003	0.997	0.000
rs2201945 lBF = `-0.019263` Chr`4` : `31,100,499`	0.003	0.997	0.000
Affx-24109370 lBF = `7.40049` Chr`4` : `187,158,034`	0.000	0.997	0.003
rs10520189 lBF = `-0.00977474` Chr`4` : `171,641,235`	0.002	0.997	0.000
rs17746001 lBF = `0.0583576` Chr`4` : `180,655,625`	0.002	0.997	0.000
rs11933540 lBF = `6.74509` Chr`4` : `26,120,001`	0.002	0.998	0.000
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.001	0.998	0.002
rs150759334 lBF = `-0.0108331` Chr`4` : `61,666,246`	0.002	0.998	0.000
rs4253252 lBF = `7.15393` Chr`4` : `187,157,458`	0.000	0.998	0.002
rs6448432 lBF = `6.24801` Chr`4` : `26,098,810`	0.002	0.998	0.000
rs10517086 lBF = `6.39699` Chr`4` : `26,085,511`	0.002	0.998	0.000
rs4699052 lBF = `0.0455462` Chr`4` : `104,137,790`	0.000	0.998	0.002
rs11933531 lBF = `-0.00348644` Chr`4` : `92,415,529`	0.002	0.998	0.000
rs1912826 lBF = `7.34542` Chr`4` : `187,149,540`	0.000	0.998	0.002
rs7679475 lBF = `-0.0352304` Chr`4` : `122,314,040`	0.002	0.998	0.000
rs710841 lBF = `0.305031` Chr`4` : `82,149,831`	0.002	0.998	0.000
rs4253238 lBF = `7.28248` Chr`4` : `187,148,387`	0.002	0.998	0.000
rs3733402 lBF = `7.06194` Chr`4` : `187,158,034`	0.002	0.998	0.000
rs874040 lBF = `6.60717` Chr`4` : `26,108,197`	0.002	0.998	0.000
rs4241816 lBF = `7.19938` Chr`4` : `187,152,327`	0.002	0.998	0.000
rs16872248 lBF = `0.350614` Chr`4` : `22,021,500`	0.002	0.998	0.000
rs4241819 lBF = `6.82623` Chr`4` : `187,157,140`	0.002	0.998	0.000
rs1662853 lBF = `0.272736` Chr`4` : `82,144,926`	0.002	0.998	0.000
rs1593 lBF = `19.3299` Chr`4` : `187,195,551`	0.000	0.998	0.002
rs4253311 lBF = `7.14205` Chr`4` : `187,174,683`	0.002	0.998	0.000
rs1869463 lBF = `-0.097219` Chr`4` : `59,305,132`	0.000	0.998	0.002
rs2290846 lBF = `23.7611` Chr`4` : `151,199,080`	0.002	0.998	0.000
rs6838240 lBF = `-0.00455894` Chr`4` : `76,643,452`	0.002	0.998	0.000
rs798766 lBF = `3.92974` Chr`4` : `1,734,239`	0.002	0.998	0.000
rs141863958 lBF = `0.0204011` Chr`4` : `21,293,437`	0.000	0.998	0.002
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.001	0.998	0.000
rs10517270 lBF = `0.0591386` Chr`4` : `33,203,140`	0.002	0.998	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.002	0.998	0.000
rs13103557 lBF = `-0.00199234` Chr`4` : `59,867,903`	0.002	0.998	0.000
rs2720460 lBF = `-0.0133835` Chr`4` : `104,054,686`	0.000	0.998	0.002
rs115694618 lBF = `0.149902` Chr`4` : `88,076,129`	0.000	0.998	0.002
rs1458562 lBF = `0.0383387` Chr`4` : `89,853,598`	0.000	0.998	0.002
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs6828740 lBF = `0.0298342` Chr`4` : `118,334,619`	0.002	0.998	0.000
rs6811556 lBF = `-0.0114512` Chr`4` : `180,284,814`	0.000	0.998	0.002
rs3749574 lBF = `21.4834` Chr`4` : `151,207,127`	0.002	0.998	0.000
rs10033464 lBF = `5.22253` Chr`4` : `111,720,761`	0.001	0.998	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.002	0.998	0.000
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.998	0.000
rs3894944 lBF = `-0.0452661` Chr`4` : `7,159,702`	0.002	0.998	0.000
rs113991851 lBF = `-0.00564514` Chr`4` : `12,026,867`	0.000	0.998	0.001
rs3733309 lBF = `0.0524375` Chr`4` : `57,857,188`	0.001	0.998	0.000
rs7674482 lBF = `0.0690899` Chr`4` : `45,867,461`	0.000	0.998	0.001
rs13149750 lBF = `0.0813276` Chr`4` : `89,854,994`	0.000	0.999	0.001
rs4693978 lBF = `0.0710196` Chr`4` : `89,854,167`	0.000	0.999	0.001
rs10008568 lBF = `0.0710196` Chr`4` : `89,854,192`	0.000	0.999	0.001
rs78538083 lBF = `-0.0248104` Chr`4` : `123,568,409`	0.001	0.999	0.000
rs11097407 lBF = `0.170242` Chr`4` : `95,146,135`	0.001	0.999	0.000
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.999	0.000
rs190797076 lBF = `0.00324361` Chr`4` : `111,511,087`	0.001	0.999	0.000
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.999	0.001
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs4253418 lBF = `6.71583` Chr`4` : `187,199,497`	0.000	0.999	0.001
rs6536413 lBF = `0.0744468` Chr`4` : `160,282,718`	0.001	0.999	0.000
rs4860223 lBF = `0.0122637` Chr`4` : `67,614,569`	0.001	0.999	0.000
rs115257454 lBF = `0.0114577` Chr`4` : `71,008,365`	0.001	0.999	0.000
rs4147045 lBF = `0.13372` Chr`4` : `18,795,330`	0.001	0.999	0.000
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.001	0.999	0.000
rs10026364 lBF = `-0.00359658` Chr`4` : `135,522,740`	0.001	0.999	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.001	0.999	0.000
rs2537859 lBF = `-0.0930521` Chr`4` : `55,482,818`	0.001	0.999	0.000
rs7690839 lBF = `0.274707` Chr`4` : `89,819,324`	0.000	0.999	0.001
rs1390096 lBF = `0.122859` Chr`4` : `11,503,604`	0.001	0.999	0.000
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.001	0.999	0.000
rs4505789 lBF = `0.189109` Chr`4` : `89,825,615`	0.000	0.999	0.001
rs6824218 lBF = `0.109926` Chr`4` : `89,841,070`	0.000	0.999	0.001
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs181099388 lBF = `-0.0116624` Chr`4` : `39,462,030`	0.001	0.999	0.000
rs1135642 lBF = `0.0376006` Chr`4` : `77,953,009`	0.001	0.999	0.000
rs1494950 lBF = `0.0153812` Chr`4` : `14,967,169`	0.001	0.999	0.000
rs6817154 lBF = `20.7823` Chr`4` : `151,206,319`	0.001	0.999	0.000
rs1115363 lBF = `0.00098881` Chr`4` : `67,073,143`	0.001	0.999	0.000
rs13135284 lBF = `-0.0772662` Chr`4` : `154,864,750`	0.001	0.999	0.000
rs11059 lBF = `15.2196` Chr`4` : `151,185,651`	0.001	0.999	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.001	0.999	0.000
rs907499 lBF = `0.00137205` Chr`4` : `26,137,019`	0.000	0.999	0.001
rs16871289 lBF = `-0.00003337` Chr`4` : `21,511,383`	0.001	0.999	0.000
rs72697068 lBF = `-0.00361685` Chr`4` : `164,193,673`	0.001	0.999	0.000
rs11133504 lBF = `-0.0304338` Chr`4` : `58,380,322`	0.001	0.999	0.000
rs1511800 lBF = `7.42609` Chr`4` : `187,135,556`	0.000	0.999	0.001
rs147089648 lBF = `0.0783796` Chr`4` : `89,874,371`	0.000	0.999	0.001
rs10517287 lBF = `0.0342819` Chr`4` : `33,624,702`	0.001	0.999	0.000
rs17635075 lBF = `0.0204831` Chr`4` : `167,343,939`	0.001	0.999	0.000
rs1155866 lBF = `-0.0172959` Chr`4` : `67,733,903`	0.000	0.999	0.001
rs17022027 lBF = `-0.0339935` Chr`4` : `95,614,278`	0.001	0.999	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 X0303

log Bayes Factor = 29.6251

contains 3 variants

0.1372

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9996

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9995

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9987

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9971

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9953

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9942

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9942

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9866

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9860

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9855

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9840

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9761

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9760

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9758

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9748

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9739

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9719

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9716

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9713

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9708

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9705

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9692

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9677

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9664

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9650

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9613

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9589

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9574

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9571

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9571

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9545

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9544

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9529

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9529

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9529

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9522

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9510

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9478

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9454

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9450

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9444

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9401

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9332

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9228

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9166

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9112

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9099

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8944

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8936

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8851

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8828

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8816

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8742

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8732

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8711

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8634

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8615

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8586

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8584

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8570

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8468

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8463

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8412

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8407

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8389

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8333

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8332

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8316

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8309

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8284

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8238

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8219

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8161

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8117

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7961

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7897

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7883

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7867

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7832

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7805

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7803

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7793

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7777

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7733

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.7680

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7516

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7492

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7463

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7330

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7223

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7142

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7103

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7069

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6970

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6951

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6921

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6883

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6746

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6723

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6568

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6512

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6450

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6432

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6405

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6324

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6257

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6206

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6189

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6159

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6149

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5970

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5961

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5957

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5932

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5924

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5918

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5797

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5796

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5762

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5718

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5688

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5656

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5341

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5079

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4875

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4809

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4571

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.4553

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4453

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4214

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4000

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3822

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3799

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3600

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3585

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3566

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3536

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3457

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3137

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3077

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3066

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3062

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3038

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3037

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3022

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2838

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2831

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2811

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2722

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2650

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2604

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2570

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2450

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2404

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2347

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2246

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2133

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1936

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1858

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1752

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1664

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1652

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1554

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1536

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1475

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1415

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1330

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1313

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1307

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1244

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1189

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1163

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1106

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1005

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0970

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0960

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0884

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0852

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0800

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0776

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0702

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0687

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0645

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0627

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0586

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0515

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`)