Genetic variation among world populations:: Inferences from 100 Alu insertion polymorphisms

被引:159
作者
Watkins, WS
Rogers, AR
Ostler, CT
Wooding, S
Bamshad, MJ
Brassington, AME
Carroll, ML
Nguyen, SV
Walker, JA
Prasad, BVR
Reddy, PG
Das, PK
Batzer, MA
Jorde, LB [1 ]
机构
[1] Univ Utah, Dept Human Genet, Salt Lake City, UT 84112 USA
[2] Univ Utah, Dept Anthropol, Salt Lake City, UT 84112 USA
[3] Univ Utah, Dept Pediat, Salt Lake City, UT 84112 USA
[4] Utkal Univ, Dept Anthropol, Bhubaneswar 751004, Orissa, India
[5] Univ Madras, Dept Anthropol, Madras 600005, Tamil Nadu, India
[6] Andhra Univ, Dept Anthropol, Waltair 530003, Andhra Pradesh, India
[7] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA
[8] Xavier Univ, Dept Chem, New Orleans, LA 70125 USA
关键词
D O I
10.1101/gr.894603
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We examine the distribution and structure of human genetic diversity for 710 individuals representing 31 populations from Africa, East Asia, Europe, and India using 100 Alu insertion polymorphisms from all 22 autosomes. Alu diversity is highest in Africans (0.349) and lowest in Europeans (0.297). Alu insertion frequency is lowest in Africans (0.463) and higher in Indians (0.544), E. Asians (O.SS7), and Europeans (0.559). Large genetic distances are observed among African populations and between African and non-African populations. The root of a neighbor-joining network is located closest to the African populations. These findings are consistent with an African origin of modern humans and with a bottleneck effect in the human populations that left Africa to colonize the rest of the world. Genetic distances among all pairs of populations show a significant product-moment correlation with geographic distances (r = 0.69, P < 0.00001). F(ST), the proportion of genetic diversity attributable to population subdivision is 0.141 for Africans/E. Asians/Europeans, 0.047 for E. Asians/Indians/Europeans, and 0.090 for all 31 populations. Resampling analyses show that similar to50 Alu polymorphisms are sufficient to obtain accurate and reliable genetic distance estimates. These analyses also demonstrate that markers with higher FIT values have greater resolving power and produce more consistent genetic distance estimates.
引用
收藏
页码:1607 / 1618
页数:12
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