| Literature DB >> 23717661 |
Kang Wang1, Yuanyuan Li, Chunyan Dai, Kaishi Wang, Jinghua Yu, Yiran Tan, Wenyan Zhang, Xiao-Fang Yu.
Abstract
The insertion/deletion (I/D) polymorphism of the angiotensin converting enzyme (ACE), commonly associated with many diseases, is believed to have affected human adaptation to environmental changes during the out-of-Africa expansion. APOBEC3B (A3B), a member of the cytidine deaminase family APOBEC3s, also exhibits a variable gene insertion/deletion polymorphism across world populations. Using data available from published reports, we examined the global geographic distribution of ACE and A3B genotypes. In tracking the modern human dispersal routes of these two genes, we found that the variation trends of the two I/D polymorphisms were directly correlated. We observed that the frequencies of ACE insertion and A3B deletion rose in parallel along the expansion route. To investigate the presence of a correlation between the two polymorphisms and the effect of their interaction on human health, we analyzed 1199 unrelated Chinese adults to determine their genotypes and other important clinical characteristics. We discovered a significant difference between the ACE genotype/allele distribution in the A3B DD and A3B II/ID groups (P = 0.045 and 0.015, respectively), indicating that the ACE Alu I allele frequency in the former group was higher than in the latter group. No specific clinical phenotype could be associated with the interaction between the ACE and A3B I/D polymorphisms. A3B has been identified as a powerful inhibitor of Alu retrotransposition, and primate A3 genes have undergone strong positive selection (and expansion) for restricting the mobility of endogenous retrotransposons during evolution. Based on these findings, we suggest that the ACE Alu insertion was enabled (facilitated) by the A3B deletion and that functional loss of A3B provided an opportunity for enhanced human adaptability and survival in response to the environmental and climate challenges arising during the migration from Africa.Entities:
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Year: 2013 PMID: 23717661 PMCID: PMC3663847 DOI: 10.1371/journal.pone.0064809
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Variation curves of ACE insertion and A3B deletion distributions among different geographic regions.
‘C/S Asia’ corresponds to Central South Asia. America refers to Amerindians; Oceania refers to Oceania aboriginals.
A3B and ACE genotype/allele distributions in the study population.
| Genotype counts (HWE expected) | Allele frequency | ||||||
| Gene | Population | II | ID | DD | I | D | HWE P-value |
| ACE | 1199 adults | 542(545) | 533(527) | 124(127) | 0.674 | 0.326 | 0.962 |
| A3B | 1199 adults | 470 (514) | 630 (542) | 99 (143) | 0.655 | 0.345 | <0.001 |
| A3B | 1581 subjects | 624 (676) | 818 (714) | 136 (188) | 0.655 | 0.345 | <0.001 |
| A3B | Total | 1094 (1190) | 1448 (1256) | 235 (331) | 0.655 | 0.345 | <0.001 |
ACE genotype/allele distributions in different A3B genotype groups.
| A3B genotype group | ACE genotype counts (frequencies) | Added up | P-value | Allele counts (frequencies) | P-value |
| II in 1199 adults | II = 222 (0.472) | ||||
| ID = 199 (0.423) | |||||
| DD = 49 (0.105) | II = 493 (0.448) | I = 1474 (0.67) | |||
| ID in 1199 adults | II = 271 (0.430) | ID = 488 (0.444) | D = 726 (0.33) | ||
| ID = 289 (0.459) | DD = 119 (0.108) | ||||
| DD = 70 (0.111) | |||||
| DD in 1199 adults | II = 49 (0.495) | 0.045 | 0.015 | ||
| ID = 45 (0.454) | |||||
| DD = 5 (0.051) | II = 122 (0.519) | I = 342 (0.728) | |||
| DD in 1581 subjects | II = 73 (0.537) | ID = 98 (0.417) | D = 128 (0.272) | ||
| ID = 53 (0.390) | DD = 15 (0.064) | ||||
| DD = 10 (0.073) |
Characteristics of male subjects grouped by ACE and A3B genotypes.
| Mean ± SD (No. of subjects measured) | |||
| Characteristic | ACE D/A3B I carriers | others | P-value |
| Age (years) | 41.1±11.9 (340) | 41.5±12.4 (343) | 0.692 |
| BMI (kg/m2) | 26.2±3.2 (296) | 25.8±3.3 (297) | 0.220 |
| Heart rate (beats/min) | 76.7±10.6 (305) | 76.3±10.7 (305) | 0.637 |
| Blood pressure (mm Hg) | |||
| Systolic | 135.9±18.6 (305) | 133.7±17.9 (305) | 0.201 |
| Diastolic | 83.8±11.9 (305) | 83.1±11.4 (305) | 0.490 |
| Plasma glucose (mmol/L) | 5.81±1.91 (304) | 5.58±1.14 (312) | 0.629 |
| Serum lipid (mmol/L) | |||
| Total cholesterol | 4.92±0.87 (304) | 4.83±0.92 (313) | 0.153 |
| Triglycerides | 1.94±1.41 (304) | 1.80±1.36 (313) | 0.098 |
| HDL-cholesterol | 1.54±0.54 (253) | 1.55±0.57 (261) | 0.943 |
| LDL-cholesterol | 3.11±0.81 (253) | 3.05±0.76 (261) | 0.513 |
| HDL-C/LDL-C ratio | 0.52±0.21 (253) | 0.53±0.23 (261) | 0.701 |
| Renal function indexes | |||
| BUN (mmol/L) | 5.27±1.29 (305) | 5.40±1.35 (314) | 0.222 |
| Urinary protein | —— | —— | 0.956 |
| Urinary occult blood | —— | —— | 0.155 |
| Liver function indexes (U/L) | |||
| ALT | 32.9±25.0 (323) | 31.0±19.2 (332) | 0.915 |
| γ–GT | 45.2±45.6 (323) | 43.5±43.4 (332) | 0.735 |
| AST | 26.0±12.4 (323) | 24.8±9.3 (333) | 0.784 |
| Triglycerides | 1.95±1.45 (284) | 1.77±1.36 (291) | 0.103 |
belong to categorical variables.
p-value from analysis of covariance including subjects whose BMI data were available.
Abbreviations: BMI, body mass index; HDL, high density lipoprotein; LDL, low density lipoprotein; BUN, blood urea nitrogen; ALT, alanine aminotransferase; γ–GT, gamma-glutamyl transpeptidase; AST, aspartate aminotransferas.
Characteristics of female subjects grouped by ACE and A3B genotypes.
| Mean ± SD (No. of subjects measured) | |||
| Characteristic | ACE D/A3B I carriers | others | P-value |
| Age (years) | 42.2±12.5 (267) | 41.7±12.5 (249) | 0.740 |
| BMI (kg/m2) | 23.5±3.4 (231) | 23.4±3.2 (217) | 0.965 |
| Heart rate (beats/min) | 80.2±11.7 (245) | 79.5±10.7 (228) | 0.718 |
| Blood pressure (mm Hg) | |||
| Systolic | 125.9±19.9 (245) | 125.9±19.5 (228) | 0.995 |
| Diastolic | 75.8±11.4 (245) | 76.0±12.7 (228) | 0.962 |
| Plasma glucose (mmol/L) | 5.24±0.72 (241) | 5.27±0.82 (230) | 0.431 |
| Serum lipid (mmol/L) | |||
| Total cholesterol | 4.80±0.90 (241) | 4.80±0.91 (226) | 0.825 |
| Triglycerides | 1.26±0.86 (241) | 1.25±0.91 (226) | 0.990 |
| HDL-cholesterol | 1.88±0.70 (191) | 2.00±0.75 (186) | 0.134 |
| LDL-cholesterol | 2.90±0.77 (191) | 2.85±0.76 (186) | 0.522 |
| HDL-C/LDL-C ratio | 0.71±0.36 (191) | 0.76±0.40 (186) | 0.181 |
| Renal function indexes | |||
| BUN (mmol/L) | 4.62±1.29 (239) | 4.53±1.09 (227) | 0.784 |
| Urinary protein | —— | —— | 0.408 |
| Urinary occult blood | —— | —— | 0.474 |
| Liver function indexes (U/L) | |||
| ALT | 22.0±35.3 (248) | 19.1±15.5 (238) | 0.214 |
| γ–GT | 21.4±19.1 (248) | 21.8±19.5 (238) | 0.650 |
| AST | 22.8±17.1 (248) | 20.8±9.7 (240) | 0.051 |
belong to categorical variables.
Analysis of covariance can not be employed because the data can't be transformed to normality.
Abbreviations: BMI, body mass index; HDL, high density lipoprotein; LDL, low density lipoprotein; BUN, blood urea nitrogen; ALT, alanine aminotransferase; γ–GT, gamma-glutamyl transpeptidase; AST, aspartate aminotransferase.