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因为甚至雅库特都有高比例的东南亚成分。
...
sahaliyan 发表于 2011-7-1 14:18
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      记得以前有一位国内的通俗历史作家有一句名言:文明就如烈性传染病,会很快传给任何与它接触的人群。(大意如此)
       我看DNA也差不多,总会在空气中飘来荡去~
物格而后知至,知至而后意诚,意诚而后心正,心正而后身修,身修而后家齐,家齐而后国治,国治而后天下平...
这张图东北亚成分和东南亚成分的划分由于样本的原因其实是不精确的。在大东亚人群常染的图上,虽然没有柬埔寨人常染的样本,但是根据附近泰国曼谷的人群的样本,我们可以看出中南半岛除了最南端的马来西亚外,都是远东成分和南亚成分兼有的格局。真正纯正的南亚成分人群,出现在印尼西部和菲律宾以及马来西亚,而这张图上,没有出现以上样本,而是以柬埔寨作为南亚人群的代表,这样一来就不可避免的把划分南北标准的界限往北部推。
http://www.ranhaer.com/thread-15039-3-1.html
比如这个K=7和K=8的时候变化就很大,K=8的时候,达斡尔族出现一种绝对主体成分。而K=7的时候却不是如此,显然是不同成分融合的结果。而汉族在K=7的浅绿色很少,到K=8 ...
sahaliyan 发表于 2011-7-1 22:45
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          好见地~
物格而后知至,知至而后意诚,意诚而后心正,心正而后身修,身修而后家齐,家齐而后国治,国治而后天下平...
远东人种成分并不存在。
新技术方案尝试:低覆盖全基因组,最低成本深度解析父系源流,略有成效,大家一起摸索。微博@好奇云怪 QQ群:387100816。
这张图东北亚成分和东南亚成分的划分由于样本的原因其实是不精确的。在大东亚人群常染的图上,虽然没有柬埔寨人常染的样本,但是根据附近泰国曼谷的人群的样本,我们可以看出中南半岛除了最南端的马来西亚外,都是远 ...
wolfgang 发表于 2011-7-1 23:22
这里的东北亚指的并不是通常意义的东北亚(中国,日本,韩国),而是指的是主要在北方民族出现的成分。东南亚是东亚和东南亚两地的合并
三界无安,犹如火宅。众苦充满,甚可怖畏
                            --------《法华经》
是以法从心生。名因法立
                      ------------《宗镜录》
http://www.ranhaer.com/thread-15039-3-1.html
比如这个K=7和K=8的时候变化就很大,K=8的时候,达斡尔族出现一种绝对主体成分。而K=7的时候却不是如此,显然是不同成分融合的结果。而汉族在K=7的浅绿色很少,到K=8 ...
sahaliyan 发表于 2011-7-1 22:45
同样一种颜色,在不同值时的含义是不一样的,比如k=4时,蒙古人种共享的一种颜色是黄色,那么当k=12时,这个黄色还是存在的,但显然与k=4时的含义不同了。
新技术方案尝试:低覆盖全基因组,最低成本深度解析父系源流,略有成效,大家一起摸索。微博@好奇云怪 QQ群:387100816。
同样一种颜色,在不同值时的含义是不一样的,比如k=4时,蒙古人种共享的一种颜色是黄色,那么当k=12时,这个黄色还是存在的,但显然与k=4时的含义不同了。
Yungsiyebu 发表于 2011-7-1 23:32
但是,你看看K=7的情况,达斡尔族是没有主体成分的,到K=8的时候就有了绝对主体成分
三界无安,犹如火宅。众苦充满,甚可怖畏
                            --------《法华经》
是以法从心生。名因法立
                      ------------《宗镜录》
但是,你看看K=7的情况,达斡尔族是没有主体成分的,到K=8的时候就有了绝对主体成分
sahaliyan 发表于 2011-7-1 23:34
这种图我还没自己学着做,所以一些具体的细节也不太清楚,但从不同作者的做的图差别很大这一点来看,人为因素是很强的。目前所使用的数据基本都是一样的。
新技术方案尝试:低覆盖全基因组,最低成本深度解析父系源流,略有成效,大家一起摸索。微博@好奇云怪 QQ群:387100816。
还有一点,不一定同一民族内部就接近。比如VADU的结果就是这样,POLAKO给他的最接近的是赫哲,达斡尔,雅库特以及一些北京汉族。DIENEKES给出的结果是一样的
另外,DIENEKESK=10的结果雅库特的东南亚成分也是非常少的,到K=12就多了起来,可见K值不同对于结果确实有影响
I have calculated your nearest identity-by-state (IBS) neighbors based on the same set of ~146K markers used for the standard K=10 analysis.

As explained here, it is not always the case that your nearest neighbors will belong to the same ethnic group as you. For closely related groups in the global context (e.g., Europeans), it's quite possible for a member of a different group to be more similar to you than a member of your own.

I am distributing the data as an R object. You must first install R, and then you can open this object by double-clicking on it (in Windows), or by using the File->Load Workspace menu within R. Then, you simply enter the following command at the prompt:
DOD591
RANK ID IBS
V551 "1" "DOD591" "1"
V1212 "2" "Yakut" "0.750242"
V1210 "3" "Yakut" "0.750192"
V1207 "4" "Yakut" "0.750052"
V1215 "5" "Yakut" "0.749857"
V1225 "6" "Yakut" "0.749656"
V1219 "7" "Yakut" "0.7496"
V1216 "8" "Yakut" "0.749452"
V1221 "9" "Yakut" "0.749416"
V1205 "10" "Yakut" "0.749366"
V1223 "11" "Yakut" "0.749327"
V1228 "12" "Yakut" "0.749311"
V1263 "13" "CHB25" "0.749026"
V1218 "14" "Yakut" "0.748866"
V1226 "15" "Yakut" "0.74886"
V1214 "16" "Yakut" "0.748841"
V396 "17" "DOD432" "0.748714"
V1251 "18" "CHB25" "0.748714"
V1248 "19" "CHB25" "0.748693"
V125 "20" "DOD142" "0.748658"
三界无安,犹如火宅。众苦充满,甚可怖畏
                            --------《法华经》
是以法从心生。名因法立
                      ------------《宗镜录》
本帖最后由 fjnj 于 2011-7-1 23:57 编辑

从网友的评论来看, 有必要解释一下Dodecad v3的设计:

以下为dienekes'的原文:
The design of Dodecad v3
Dodecad v2 was short-lived, as I discovered a way to improve it shortly after I announced it.

The first step was to carry out an extensive K=3 ADMIXTURE analysis of about 130 different populations and about 2,000 individuals from Europe, Asia, and Africa. Using the allele frequency results of this analysis I was able to create the most comprehensive synthetic individuals to represent West Eurasians, Asians, and Sub-Saharan Africans.

Subsequently, I carried out an analysis of East Eurasian populations using the West Eurasian/Sub-Saharan synthetic individuals as controls, as well as an analysis of Sub-Saharan populations using the West Eurasian/Asian individuals as controls.

In East Eurasia, I was able to infer the existence of two components, one centered in the extreme northeast, another in the southeast, with many other populations arrayed between these two extremes:


In Sub-Saharan Africa, the primary division was between San, Mbuti, and Biaka Pygmies (whom I have called "Palaeo-Africans") and the rest (Yoruba, Mandenka, and Bantu, "Neo-Africans"):


Now, I had four synthetic "framing populations": Neo-Africans, Palaeo-Africans, Northeast Asians and Southeast Asians, created from hundreds of individuals from several different populations:

    I did not have to choose a particular population (e.g., Chinese) to represent East Asia
    I did not have to aggregate individuals from populations with variable levels of non-East Asian admixture

I now used my South Asian populations, together with Neo-African, West Eurasian, Northeast and Southeast Asian controls to extract a South Asian specific component:



Armed with these 5 synthetic "framing" populations, I carried out a K=12 analysis with my West Eurasian, South Asian, and North/East African populations (1,247 individuals; 69 populations):

And, finally, I generated 50 synthetic individuals from each of the 12 inferred components to create a dataset of 600 individuals that will be the basis of Dodecad v3.

Below is the table of Fst divergences:



The following MDS plots show the first 10 dimensions of variation of these individuals:

Finally, here is a neighbor-joining tree of the 12 components:
1

评分次数

其实常染色体snp分类,也和我们更熟悉的y-snp类似,想分清楚那个是南哪个是北很困难的,不同人的分析往往差别很大,甚至k在不同值是变化也很大,都可能与这些有关。
新技术方案尝试:低覆盖全基因组,最低成本深度解析父系源流,略有成效,大家一起摸索。微博@好奇云怪 QQ群:387100816。
安德曼岛的土著
ADMIXTURE Onge_12.png
2011-7-2 06:04
Onge-couple.jpg
25# sahaliyan
这个我当然看的懂。这里的东北亚成分近似于原始的乌拉尔--北极成分。
32# fjnj
从这张图来看,安达曼人还真是一种混合人群。如果能把南亚类型的形成过程贴出来就更清楚了。
25# sahaliyan  
这个我当然看的懂。这里的东北亚成分近似于原始的乌拉尔--北极成分。
wolfgang 发表于 2011-7-2 13:22
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     ‘原始的乌拉尔--北极成分’,难道是para N1* & Q1* with their equivalent mt人群?
物格而后知至,知至而后意诚,意诚而后心正,心正而后身修,身修而后家齐,家齐而后国治,国治而后天下平...
关于蒙古等民族西欧亚因素的另一种来源
http://www.ranhaer.com/thread-15844-1-1.html
三界无安,犹如火宅。众苦充满,甚可怖畏
                            --------《法华经》
是以法从心生。名因法立
                      ------------《宗镜录》
35# imvivi001
可以参考dieneckes的常染图。
DIENEKES说
It's a good idea to always look at the distances (last column)

For example, in the case of Armenians, the first match is:


[2,] "62% Druze + 38% Georgians" "4.1372"

and, for Assyrians:


[2,] "83.9% Armenians_16 + 16.1% Yemen_Jews" "1.7829"

So, there seems to be much stronger support for Assyrians being Armenian-like + a southern Semitic element

Another good idea is to notice how the distances increase; in the case of Assyrians there is a rather striking increase in distance after the Armenian+Yemen_Jews Armenian+Saudis pairs.

In my opinion, the Proto-Semitic speakers' northward spread out of the Arabia/southern Levant area may have been driven by climate change after the 5.9kiloyear event, and a thousand years later the early Semites had already penetrated into Mesopotamia in the form of Akkadians.

The subsequent establishment of Semitic-ruled states in the Near East gradually led to the linguistic conversion of many natives, which, in turn, led to intermarriage, and the various Semitic-speaking groups differ from each other in having variable proportions of the Semitic and pre-Semitic population elements.
三界无安,犹如火宅。众苦充满,甚可怖畏
                            --------《法华经》
是以法从心生。名因法立
                      ------------《宗镜录》
The Dodecad Oracle v1
Mixed Mode
DodecadOracle("Chinese_D",mixedmode=T)
      [,1]                              [,2]   
[1,] "Chinese_D"                       "0"     
[2,] "36.1% Japanese_D + ...
owen 发表于 2011-7-21 23:07
在DNA FORUMS上看到西欧亚人群遗传距离似乎比较大,甚至有30以上的,不知道是否我理解有误,还是东欧亚人群本身特别接近?似乎从23ANDME的结果来看,东欧亚人群的相互接近程度超过了西欧亚人群相互接近程度,不知道是否如此?
三界无安,犹如火宅。众苦充满,甚可怖畏
                            --------《法华经》
是以法从心生。名因法立
                      ------------《宗镜录》
与我接近的群体:

[1,] "Aonaga"          "1.3491"
[2,] "Japanese"        "2.4556"
[3,] "Korean_D"        "3.1937"
[4,] "Nysha"           "4.993"  
[5,] "Chinese_D"       "5.8652"
[6,] "Tu"              "6.5833"
[7,] "Japanese_D"      "6.5955"
[8,] "Naxi"            "6.6521"
[9,] "Yizu"            "7.1491"
[10,] "JPT"             "8.9599"
[11,] "Han"             "10.8545"
[12,] "CHB"             "12.8156"
[13,] "She"             "12.8915"
[14,] "Tujia"           "12.8996"
[15,] "Xibo"            "13.5915"
[16,] "Vietnamese"      "15.302"
[17,] "CHD"             "16.6039"
[18,] "Miaozu"          "16.8357"
[19,] "Mongola"         "18.5011"
[20,] "CHS"             "18.981"
[21,] "Khmer_Cambodian" "19.489"
[22,] "Cambodians"      "21.3495"
[23,] "Daur"            "22.1366"
[24,] "Lahu"            "22.6369"
[25,] "Dai"             "23.0552"
[26,] "Hezhen"          "23.5053"
[27,] "Thai"            "23.8244"
[28,] "MAS"             "23.874"
[29,] "Iban"            "26.9056"
[30,] "Oroqen"          "37.1373"
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