| Literature DB >> 19212099 |
Abstract
This review addresses the distribution of genetic markers of immunoglobulin G (Gm) among 130 Mongoloid populations in the world. These markers allowed the populations to be clearly divided into 2 groups, the northern and southern groups. The northern group is characterized by high frequencies of 2 marker genes, ag and ab3st, and an extremely low frequency of the marker gene afb1b3; and the southern group, in contrast, is indicated by a remarkably high frequency of afb1b3 and low frequencies of ag and ab3st. Based on the geographical distribution of the markers and gene flow of Gm ag and ab3st (northern Mongoloid marker genes) from northeast Asia to the Japanese archipelago, the Japanese population belongs basically to the northern Mongoloid group and is thus suggested to have originated in northeast Asia, most likely in the Baikal area of Siberia.Entities:
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Year: 2009 PMID: 19212099 PMCID: PMC3524296 DOI: 10.2183/pjab.85.69
Source DB: PubMed Journal: Proc Jpn Acad Ser B Phys Biol Sci ISSN: 0386-2208 Impact factor: 3.493
Gm gene frequencies in populations of Japan[10){12)]
| code | ethnic group | locality | sample | gene frequency | |||
|---|---|---|---|---|---|---|---|
|
| |||||||
| ag | axg | ab3st | afb1b3 | ||||
| J1 | Ainu | Hidaka* | 406 | 0.571 | 0.134 | 0.252 | 0.043 |
| J2 | Japanese | Shizunai | 122 | 0.448 | 0.191 | 0.283 | 0.078 |
| J3 | Japanese | Akita | 159 | 0.453 | 0.161 | 0.295 | 0.091 |
| J4 | Japanese | Sendai | 205 | 0.476 | 0.166 | 0.246 | 0.112 |
| J5 | Japanese | Tokyo | 405 | 0.460 | 0.168 | 0.263 | 0.109 |
| J6 | Japanese | Yokohama | 184 | 0.477 | 0.166 | 0.251 | 0.106 |
| J7 | Japanese | Isehara | 203 | 0.442 | 0.179 | 0.273 | 0.106 |
| J8 | Japanese | Niigata | 196 | 0.488 | 0.145 | 0.250 | 0.117 |
| J9 | Japanese | Sadogasima* | 153 | 0.480 | 0.207 | 0.251 | 0.062 |
| J10 | Japanese | Tsu | 129 | 0.482 | 0.188 | 0.233 | 0.097 |
| J11 | Japanese | Kamishima* | 152 | 0.453 | 0.182 | 0.276 | 0.089 |
| J12 | Japanese | Nara | 481 | 0.464 | 0.161 | 0.252 | 0.123 |
| J13 | Japanese | Osaka | 343 | 0.450 | 0.159 | 0.261 | 0.130 |
| J14 | Japanese | Matsue | 208 | 0.444 | 0.181 | 0.260 | 0.115 |
| J15 | Japanese | Okayama | 277 | 0.414 | 0.189 | 0.276 | 0.121 |
| J16 | Japanese | Hiroshima | 328 | 0.456 | 0.186 | 0.265 | 0.093 |
| J17 | Japanese | Kohchi | 200 | 0.440 | 0.200 | 0.255 | 0.105 |
| J18 | Japanese | Ohita | 172 | 0.481 | 0.190 | 0.236 | 0.093 |
| J19 | Japanese | Nagasaki | 198 | 0.454 | 0.200 | 0.255 | 0.091 |
| J20 | Japanese | Tanegashima* | 200 | 0.448 | 0.193 | 0.254 | 0.105 |
| J21 | Japanese | Yakushima* | 200 | 0.479 | 0.176 | 0.220 | 0.125 |
| J22 | Japanese | Amamiohshima* | 200 | 0.492 | 0.202 | 0.247 | 0.059 |
| J23 | Japanese | Naha, Okinawa | 348 | 0.434 | 0.221 | 0.262 | 0.083 |
| J24 | Ryukyuan | Miyakojima* | 250 | 0.533 | 0.138 | 0.286 | 0.043 |
| J25 | Ryukyuan | Ishigakijima* | 290 | 0.453 | 0.186 | 0.321 | 0.040 |
| J26 | Ryukyuan | Yonakunijima* | 136 | 0.446 | 0.146 | 0.364 | 0.044 |
|
| |||||||
| mean in Japanese (*not included) | 4158 | 0.458 | 0.176 | 0.260 | 0.106 | ||
Gm gene frequencies in the other populations[10),11)]
| code | ethnic group | locality | gene frequency | |||
|---|---|---|---|---|---|---|
|
| ||||||
| ag | axg | ab3st | afb1b3 | |||
| 51 | Inuit | Greenland | 0.707 | 0.005 | 0.247 | 0.041 |
| 52 | Inuit | Chaplin, Russia | 0.795 | — | 0.205 | — |
| 53 | Chukchi | northeast Kamchatka | 0.731 | 0.109 | 0.153 | 0.007 |
| 54 | Koryak | Kamchatka | 0.714 | 0.055 | 0.200 | 0.031 |
| 55 | Inuit | Alaska | 0.683 | 0.011 | 0.254 | 0.052 |
| 56 | Athabascan | Alaska | 0.623 | 0.178 | 0.143 | 0.056 |
| 57 | Algonquian | northeast Ontario | 0.860 | 0.071 | 0.069 | — |
| 58 | Apatch | New Mexico | 0.598 | 0.133 | 0.197 | 0.072 |
| 59 | Pima | Arizona | 0.910 | 0.057 | 0.006 | 0.027 |
| 60 | Mazatecos | Mexico | 0.787 | 0.158 | 0.022 | 0.033 |
| 61 | Quechua | Peru | 0.865 | 0.093 | 0.016 | 0.026 |
| 62 | Matigengua | Peru | 0.735 | 0.253 | 0.008 | 0.004 |
| 63 | Moroni | French Guyana | 0.702 | 0.237 | 0.061 | — |
| 64 | Kayapok | French Guyana | 0.792 | 0.152 | 0.049 | 0.007 |
| 65 | Wayana | Surinam | 0.748 | 0.225 | 0.023 | 0.004 |
| 66 | Torio | Surinam | 0.649 | 0.328 | 0.021 | 0.002 |
| 67 | Wapyshyna | south Guyana | 0.611 | 0.352 | 0.025 | 0.012 |
| 68 | Maxi | north Brazil | 0.585 | 0.385 | 0.030 | — |
| 69 | Cayapo | Brazil | 0.712 | 0.288 | — | — |
| 70 | Cayapo | Brazil | 0.870 | 0.130 | — | — |
| 71 | Xavante | Brazil | 0.797 | 0.203 | — | — |
| 72 | Aborigine | Australia | 0.730 | 0.270 | — | — |
| 73 | Polynesian | Hawaii | 0.243 | 0.063 | — | 0.694 |
| 74 | Micronesian | Micronesia | 0.087 | 0.026 | — | 0.887 |
| 75 | Melanesian | Melanesia | 0.197 | 0.057 | — | 0.746 |
| 76 | Celebes | Indonesia | 0.156 | 0.078 | — | 0.766 |
| 77 | Java | Indonesia | 0.127 | 0.116 | 0.005 | 0.752 |
| 78 | Malay | Malaysia | 0.086 | 0.058 | 0.006 | 0.850 |
| 79 | Kadazan | Borneo | 0.015 | 0.012 | — | 0.973 |
Fig. 1Distribution of the Gm genes in Asia. Circle graphs on the map indicate the locations of the populations listed in Tables 1–4 and codes by the graphs correspond to those of the first column in each Table. The individual Gm genes are represented in color: Gm ag in blue, Gm axg in green, Gm ab3st in yellow, Gm afb1b3 in red, and Gm fb1b3 in white, and their frequencies in each population are reflected in the colored area of a graph. Mongoloid populations are generally composed of 4 Gm genes. The fb1b3 gene (in white) indicates the populations admixed with Caucasoid. The ag (in blue) and axg (in green) genes are both common between Mongoloid and Caucasoid, and are thus “old” genes. The ab3st gene (in yellow), characterizing northern Mongoloid, flowed from the Baikal area to the Japanese Archipelago in almost all directions. The afb1b3 gene (in red), characterizing southern Mongoloid and centering around the south of China, infiltrated broadly into neighboring areas.
Fig. 2Distribution of the Gm genes in Asia, North and South America, Oceania, and Pacific islands. Circle graphs on the map indicate the locations of the populations listed in Tables 1–5 and codes by the graphs correspond to those of the first column in each Table. The Gm gene frequencies in each population are reflected in the colored area of a graph. Indigenous South American and Aborigine in Australia migrated there long ago, because these populations have only the 2 old Gm genes, ag (in blue) and axg (in green). The ab3st gene (in yellow), characterizing northern Mongoloid, flowed from the Baikal area in almost all directions to the Japanese Archipelago, Tibet, and North America. The afb1b3 gene (in red), characterizing southern Mongoloid, centering around the south of China, infiltrated all around even to the islands in the Pacific Ocean, Cook Islands and Hawaii.
Gm gene frequencies in Asian populations[10),11)]
| code | ethnic group | locality | sample | gene frequency | ||||
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| ag | axg | ab3st | afb1b3 | fb1b3 | ||||
| 1 | Buryat | north Baikal | 137 | 0.473 | 0.162 | 0.307 | 0.058 | — |
| 2 | Buryat | central Baikal | 178 | 0.444 | 0.132 | 0.281 | 0.143 | — |
| 3 | Buryat | south Baikal | 81 | 0.492 | 0.125 | 0.272 | 0.111 | — |
| 4 | Yakut | Siberia | 89 | 0.552 | 0.087 | 0.267 | 0.094 | — |
| 5 | Even | Siberia | 204 | 0.569 | 0.12 | 0.299 | 0.012 | — |
| 6 | Evenki | Siberia | 194 | 0.59 | 0.103 | 0.227 | 0.08 | — |
| 7 | Olunchun | Sibazhan | 100 | 0.374 | 0.121 | 0.44 | 0.065 | — |
| 8 | Tungus | northeast China | 363 | 0.391 | 0.155 | 0.3 | 0.154 | — |
| 9 | Dawoer | Qiqihaer | 120 | 0.41 | 0.228 | 0.187 | 0.175 | — |
| 10 | Udehe | Siberia | 110 | 0.581 | 0.196 | 0.164 | 0.059 | — |
| 11 | Mongol | Mongolia | 61 | 0.431 | 0.102 | 0.229 | 0.238 | — |
| 12 | Mongol | Wulanhoubu | 103 | 0.325 | 0.209 | 0.194 | 0.272 | — |
| 13 | Mongol | Huhahote | 170 | 0.471 | 0.203 | 0.097 | 0.229 | — |
| 14 | Mongol | west Mongolia | 150 | 0.379 | 0.190 | 0.140 | 0.291 | — |
| 15 | Tibetan | Hezhue | 90 | 0.470 | 0.185 | 0.128 | 0.217 | — |
| 16 | Tibetan | west Tibet | 170 | 0.65 | 0.159 | 0.13 | 0.061 | — |
| 17 | Tibetan | Lasa | 87 | 0.57 | 0.148 | 0.213 | 0.069 | — |
| 18 | Tujia | Yichang | 148 | 0.42 | 0.114 | 0.071 | 0.395 | — |
| 19 | Negritos | Mindanao | 93 | 0.12 | 0.208 | — | 0.672 | — |
| 20 | Negritos | Luzon | 124 | 0.136 | 0.1 | — | 0.764 | — |
| 21 | Philippinos | Luzon | 321 | 0.098 | 0.039 | 0.027 | 0.836 | — |
| 22 | Chuang | Guangxi | 112 | 0.031 | 0.005 | 0.022 | 0.942 | — |
| 23 | Shui | Sandu | 104 | 0.024 | 0.005 | 0.019 | 0.952 | — |
| 24 | Miao | Guizhou | 100 | 0.095 | 0.015 | 0.015 | 0.875 | — |
| 25 | Puyi | Duyun | 105 | 0.062 | 0.010 | 0.014 | 0.914 | — |
| 26 | Hani | Jinping | 144 | 0.184 | 0.084 | 0.062 | 0.670 | — |
| 27 | Bai | Xiaguan | 150 | 0.256 | 0.147 | 0.057 | 0.540 | — |
| 28 | Dai | Luxi | 153 | 0.108 | 0.029 | 0.023 | 0.840 | — |
| 29 | Thai | Thailand | 198 | 0.044 | 0.042 | 0.015 | 0.899 | — |
| 30 | Vietnamese | Vietnam | 360 | 0.188 | 0.085 | 0.016 | 0.711 | — |
| 31 | Laotian | Laos | 116 | 0.013 | 0.009 | 0.008 | 0.970 | — |
| 32 | Miao | Thailand | 111 | 0.207 | 0.036 | 0.018 | 0.739 | — |
| 33 | Karen | Thailand | 161 | 0.108 | 0.048 | 0.021 | 0.823 | — |
| 34 | Takasago | Taiwan | 468 | 0.194 | 0.042 | 0.002 | 0.762 | — |
| 35 | Hui | Changji | 104 | 0.377 | 0.108 | 0.141 | 0.277 | 0.097 |
| 36 | Uighur | Wulmuqi | 258 | 0.331 | 0.120 | 0.113 | 0.095 | 0.341 |
| 37 | Kacharis | Assam | 84 | 0.024 | 0.024 | 0.143 | 0.809 | — |
| 38 | Kalitas | Assam | 91 | 0.118 | 0.063 | 0.066 | 0.366 | 0.387 |
| 39 | Brahmin | Assam | 76 | 0.180 | 0.089 | 0.086 | 0.127 | 0.518 |
| 40 | Muslim | Bangladesh | 114 | 0.265 | 0.195 | 0.044 | 0.356 | 0.140 |
| 41 | Ahom | Assam | 80 | 0.079 | 0.058 | 0.100 | 0.604 | 0.159 |
| 42 | Nepalese | Nepal | 128 | 0.284 | 0.177 | 0.090 | 0.199 | 0.250 |
| 43 | Tamil | south India | 258 | 0.415 | 0.252 | 0.048 | 0.083 | 0.202 |
| 44 | Sinhalese | Sri Lanka | 98 | 0.515 | 0.183 | 0.026 | 0.125 | 0.151 |
| 45 | Hindu | India | 200 | 0.324 | 0.134 | 0.042 | 0.074 | 0.426 |
| 46 | Cambodian | Cambodia | 200 | 0.142 | 0.054 | 0.037 | 0.767 | — |
| 47 | Mazanderanian | Iran | 280 | 0.143 | 0.007 | 0.085 | 0.026 | 0.739 |
| 48 | Giranian | Iran | 259 | 0.150 | 0.017 | 0.088 | 0.018 | 0.727 |
| 49 | Uralian | Ural | 316 | 0.279 | 0.085 | 0.029 | — | 0.608 |
| 50 | Polynesian | Cook Islands | 293 | 0.183 | 0.070 | — | 0.747 | — |
Gm gene frequencies in Korean populations[16)]
| code | locality | sample | gene frequency | |||
|---|---|---|---|---|---|---|
|
| ||||||
| ag | axg | ab3st | afb1b3 | |||
| K1 | Cheju Island | 282 | 0.506 | 0.223 | 0.140 | 0.131 |
| K2 | Pusan | 330 | 0.520 | 0.213 | 0.131 | 0.136 |
| K3 | Kwangju | 394 | 0.486 | 0.207 | 0.141 | 0.166 |
| K4 | Kongsan | 196 | 0.496 | 0.195 | 0.148 | 0.161 |
| K5 | Chonju | 297 | 0.493 | 0.199 | 0.158 | 0.150 |
| K6 | Wonju | 173 | 0.492 | 0.221 | 0.142 | 0.145 |
| K7 | Kannung | 177 | 0.513 | 0.185 | 0.167 | 0.135 |
| K8 | Yanji, China | 105 | 0.491 | 0.166 | 0.186 | 0.157 |
|
| ||||||
| mean in Korean | 1954 | 0.501 | 0.207 | 0.145 | 0.147 | |
Gm gene frequencies in Han populations[10),11,17)]
| code | locality | sample | gene frequency | |||
|---|---|---|---|---|---|---|
|
| ||||||
| ag | axg | ab3st | afb1b3 | |||
| H1 | Haerbin | 235 | 0.441 | 0.210 | 0.113 | 0.236 |
| H2 | Changchun | 197 | 0.471 | 0.219 | 0.089 | 0.221 |
| H3 | Liaoyuan | 199 | 0.466 | 0.237 | 0.083 | 0.214 |
| H4 | Dairen | 154 | 0.384 | 0.266 | 0.094 | 0.256 |
| H5 | Beijing | 195 | 0.428 | 0.214 | 0.117 | 0.241 |
| H6 | Shandong | 133 | 0.431 | 0.190 | 0.116 | 0.263 |
| H7 | Kunsan | 270 | 0.376 | 0.141 | 0.098 | 0.385 |
| H8 | Hefei | 159 | 0.416 | 0.172 | 0.084 | 0.328 |
| H9 | Xian | 159 | 0.405 | 0.183 | 0.113 | 0.299 |
| H10 | Chengdu | 177 | 0.168 | 0.078 | 0.048 | 0.706 |
| H11 | Wuhan | 360 | 0.290 | 0.131 | 0.055 | 0.524 |
| H12 | Hangzhou | 151 | 0.350 | 0.184 | 0.079 | 0.387 |
| H13 | Changsha | 139 | 0.204 | 0.066 | 0.054 | 0.676 |
| H14 | Gueiyang | 151 | 0.226 | 0.085 | 0.043 | 0.646 |
| H15 | Guangzhou | 127 | 0.183 | 0.054 | 0.033 | 0.730 |
| H16 | Fuzhou | 211 | 0.188 | 0.077 | 0.043 | 0.692 |
| H17 | Taiwan | 286 | 0.222 | 0.087 | 0.047 | 0.644 |