scholarly journals Population-Specific Genetic and Expression Differentiation in Europeans

2020 ◽  
Vol 12 (4) ◽  
pp. 358-369
Author(s):  
Xueyuan Jiang ◽  
Raquel Assis

Abstract Much of the enormous phenotypic variation observed across human populations is thought to have arisen from events experienced as our ancestors peopled different regions of the world. However, little is known about the genes involved in these population-specific adaptations. Here, we explore this problem by simultaneously examining population-specific genetic and expression differentiation in four human populations. In particular, we derive a branch-based estimator of population-specific differentiation in four populations, and apply this statistic to single-nucleotide polymorphism and RNA-seq data from Italian, British, Finish, and Yoruban populations. As expected, genome-wide estimates of genetic and expression differentiation each independently recapitulate the known relationships among these four human populations, highlighting the utility of our statistic for identifying putative targets of population-specific adaptations. Moreover, genes with large copy number variations display elevated levels of population-specific genetic and expression differentiation, consistent with the hypothesis that gene duplication and deletion events are key reservoirs of adaptive variation. Further, many top-scoring genes are well-known targets of adaptation in Europeans, including those involved in lactase persistence and vitamin D absorption, and a handful of novel candidates represent promising avenues for future research. Together, these analyses reveal that our statistic can aid in uncovering genes involved in population-specific genetic and expression differentiation, and that such genes often play important roles in a diversity of adaptive and disease-related phenotypes in humans.

2019 ◽  
Author(s):  
Xueyuan Jiang ◽  
Raquel Assis

AbstractMuch of the enormous phenotypic variation observed across human populations is thought to have arisen from events experienced as our ancestors peopled different regions of the world. However, little is known about the genes involved in these population-specific adaptations. Here we explore this problem by simultaneously examining population-specific sequence and expression differentiation in four human populations. In particular, we design a branch-based statistic to estimate population-specific differentiation in four populations, and apply this statistic to single nucleotide polymorphism (SNP) and RNA-seq data from Italian, British, Finish, and Yoruban populations. As expected, genome-wide estimates of sequence and expression differentiation each independently recapitulate the known demographic history of these four human populations, highlighting the utility of our statistic for identifying genic targets of population-specific adaptations. Application of our statistic reveals that genes containing large copy number variations (CNVs) have elevated levels of population-specific sequence and expression differentiation, consistent with the hypothesis that gene turnover is a key reservoir of adaptive variation. Further, European genes displaying population-specific sequence and expression differentiation are enriched for functions related to epigenetic regulation, immunity, and reproduction. Together, our findings illustrate that population-specific sequence and expression differentiation in humans may preferentially target genes with CNVs and play important roles in a diversity of adaptive and disease-related phenotypes.


2021 ◽  
Vol 11 (1) ◽  
pp. 33
Author(s):  
Nayoung Han ◽  
Jung Mi Oh ◽  
In-Wha Kim

For predicting phenotypes and executing precision medicine, combination analysis of single nucleotide variants (SNVs) genotyping with copy number variations (CNVs) is required. The aim of this study was to discover SNVs or common copy CNVs and examine the combined frequencies of SNVs and CNVs in pharmacogenes using the Korean genome and epidemiology study (KoGES), a consortium project. The genotypes (N = 72,299) and CNV data (N = 1000) were provided by the Korean National Institute of Health, Korea Centers for Disease Control and Prevention. The allele frequencies of SNVs, CNVs, and combined SNVs with CNVs were calculated and haplotype analysis was performed. CYP2D6 rs1065852 (c.100C>T, p.P34S) was the most common variant allele (48.23%). A total of 8454 haplotype blocks in 18 pharmacogenes were estimated. DMD ranked the highest in frequency for gene gain (64.52%), while TPMT ranked the highest in frequency for gene loss (51.80%). Copy number gain of CYP4F2 was observed in 22 subjects; 13 of those subjects were carriers with CYP4F2*3 gain. In the case of TPMT, approximately one-half of the participants (N = 308) had loss of the TPMT*1*1 diplotype. The frequencies of SNVs and CNVs in pharmacogenes were determined using the Korean cohort-based genome-wide association study.


2007 ◽  
Vol 81 (4) ◽  
pp. 768-779 ◽  
Author(s):  
Janine Wagenstaller ◽  
Stephanie Spranger ◽  
Bettina Lorenz-Depiereux ◽  
Bernd Kazmierczak ◽  
Michaela Nathrath ◽  
...  

2019 ◽  
Author(s):  
Pauline C. Schut ◽  
Erwin Brosens ◽  
Frietson Galis ◽  
Clara M. A. Ten Broek ◽  
Inge M.M. Baijens ◽  
...  

AbstractObjectiveTo assess the vertebral pattern in a cohort of deceased fetuses and neonates, and to study the possible impact of DNA Copy Number Variations (CNVs) in coding regions and/or disturbing enhancers on the development of the vertebral pattern.MethodRadiographs of 445 fetuses and infants, deceased between 2009 and 2015, were assessed. Terminations of pregnancies, stillbirths and neonatal deaths were included. Patients were excluded if the vertebral pattern could not be determined. Copy number profiles of 265 patients were determined using single nucleotide polymorphism array.Results274/374 patients (73.3%) had an abnormal vertebral pattern. Cervical ribs were present in 188/374 (50.3%) and were significantly more common in stillbirths (69/128 (53.9%)) and terminations of pregnancies (101/188 (53.7%)), compared to live births (18/58, 31.0%, p = 0.006). None of the rare CNVs were recurrent or overlapped candidate genes for vertebral patterning.ConclusionThe presence of an abnormal vertebral pattern, particularly in the cervical region, could be a sign of disruption at critical, highly interactive and conserved stages of embryogenesis. The vertebral pattern might provide valuable information regarding fetal and neonatal outcome. CNV analyses did not identify a mutual genetic cause for the occurrence of vertebral patterning abnormalities, indicating genetic heterogeneity.


2014 ◽  
Vol 207 (6) ◽  
pp. 287
Author(s):  
Joshua E. Babiarz ◽  
Bernhard G. Zimmermann ◽  
Tudor Constantin ◽  
Ryan Swenerton ◽  
Eser Kirkizlar ◽  
...  

2016 ◽  
Vol 47 (5) ◽  
pp. 560-569 ◽  
Author(s):  
Adiljan Kader ◽  
Xuexue Liu ◽  
Kunzhe Dong ◽  
Shen Song ◽  
Jianfei Pan ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Meiying Cai ◽  
Hailong Huang ◽  
Liangpu Xu ◽  
Na Lin

Applying single nucleotide polymorphism (SNP) array to identify the etiology of fetal central nervous system (CNS) abnormality, and exploring its association with chromosomal abnormalities, copy number variations, and obstetrical outcome. 535 fetuses with CNS abnormalities were analyzed using karyotype analysis and SNP array. Among the 535 fetuses with CNS abnormalities, chromosomal abnormalities were detected in 36 (6.7%) of the fetuses, which were consistent with karyotype analysis. Further, additional 41 fetuses with abnormal copy number variations (CNVs) were detected using SNP array (the detection rate of additional abnormal CNVs was 7.7%). The rate of chromosomal abnormalities, but not that of pathogenic CNVs in CNS abnormalities with other ultrasound abnormalities was significantly higher than that in isolated CNS abnormalities. The rates of chromosomal abnormalities and pathogenic CNVs in fetuses with spine malformation (50%), encephalocele (50%), subependymal cyst (20%), and microcephaly (16.7%) were higher than those with other isolated CNS abnormalities. The pregnancies for 36 cases with chromosomal abnormalities, 18 cases with pathogenic CNVs, and three cases with VUS CNVs were terminated. SNP array should be used in the prenatal diagnosis of fetuses with CNS abnormalities, which can enable better prenatal assessment and genetic counseling, and affect obstetrical outcomes.


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