scholarly journals Genome-wide admixture mapping of eGFR and CKD identify European and African ancestry-of-origin loci in U.S. Hispanics/Latinos

2021 ◽  
Author(s):  
Andrea R.V.R. Horimoto ◽  
Jianwen Cai ◽  
James P. Lash ◽  
Martha L. Daviglus ◽  
Nora Franceschini ◽  
...  

Background Admixture mapping is a powerful approach for gene mapping of complex traits that leverages the diverse genetic ancestry in populations with recent admixture such as U.S. Hispanics/Latinos (HL), who have increased risk of chronic kidney disease (CKD). Methods Genome-wide admixture mapping was performed for CKD and estimated glomerular filtration rate (eGFR) in a sample of 12601 participants from the Hispanic Community Health Study/Study of Latinos, with validation in a sample of 8191 African Americans from the Women's Health Initiative (WHI). Results Three novel ancestry-of-origin loci were identified on chromosomes 2, 14 and 15 for CKD and eGFR. The chromosome 2 locus (2p16.3) consisted of two European ancestry regions encompassing the FSHR and NRXN1 genes, with European ancestry at this locus associated with increased risk for CKD. The chromosome 14 locus (14q32.2) located within the DLK1-DIO3 imprinted domain was driven by European ancestry, and was associated with lower eGFR. The chromosome 15 locus (15q13.3-14) included intronic variants of RYR3 and was within an African-specific genomic region that was associated with higher eGFR. These findings were compared to the conventional genome-wide association study that failed to identify significant associations in these regions. We validated the chromosome 14 and 15 loci for eGFR in the WHI African Americans. Conclusions This study provides evidence of shared ancestry-specific genomic regions influencing eGFR in HL and African Americans, and illustrates the potential for leveraging genetic ancestry in recently admixed populations for novel discovery of kidney trait loci.

2014 ◽  
Author(s):  
Xu Zhang ◽  
Wenbo Mu ◽  
Cong Liu ◽  
Wei Zhang

Genetic admixture has been utilized as a tool for identifying loci associated with complex traits and diseases in recently admixed populations such as African Americans. In particular, admixture mapping is an efficient approach to identifying genetic basis for those complex diseases with substantial racial or ethnic disparities. Though current advances in admixture mapping algorithms may utilize the entire panel of SNPs, providing ancestry-informative markers (AIMs) that can differentiate parental populations and estimate ancestry proportions in an admixed population may particularly benefit admixture mapping in studies of limited samples, help identify unsuitable individuals (e.g., through genotyping the most informative ancestry markers) before starting large genome-wide association studies (GWAS), or guide larger scale targeted deep re-sequencing for determining specific disease-causing variants. Defining panels of AIMs based on commercial, high-throughput genotyping platforms will facilitate the utilization of these platforms for simultaneous admixture mapping of complex traits and diseases, in addition to conventional GWAS. Here, we describe AIMs detected based on the Shannon Information Content (SIC) or Fst for African Americans with genome-wide coverage that were selected from ~2.3 million single nucleotide polymorphisms (SNPs) covered by the Affymetrix Axiom Pan-African array, a newly developed genotyping platform optimized for individuals of African ancestry.


2014 ◽  
Author(s):  
Xu Zhang ◽  
Wenbo Mu ◽  
Cong Liu ◽  
Wei Zhang

Genetic admixture has been utilized as a tool for identifying loci associated with complex traits and diseases in recently admixed populations such as African Americans. In particular, admixture mapping is an efficient approach to identifying genetic basis for those complex diseases with substantial racial or ethnic disparities. Though current advances in admixture mapping algorithms may utilize the entire panel of SNPs, providing ancestry-informative markers (AIMs) that can differentiate parental populations and estimate ancestry proportions in an admixed population may particularly benefit admixture mapping in studies of limited samples, help identify unsuitable individuals (e.g., through genotyping the most informative ancestry markers) before starting large genome-wide association studies (GWAS), or guide larger scale targeted deep re-sequencing for determining specific disease-causing variants. Defining panels of AIMs based on commercial, high-throughput genotyping platforms will facilitate the utilization of these platforms for simultaneous admixture mapping of complex traits and diseases, in addition to conventional GWAS. Here, we describe AIMs detected based on the Shannon Information Content (SIC) or Fst for African Americans with genome-wide coverage that were selected from ~2.3 million single nucleotide polymorphisms (SNPs) covered by the Affymetrix Axiom Pan-African array, a newly developed genotyping platform optimized for individuals of African ancestry.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi194-vi194
Author(s):  
Chenan Zhang ◽  
Quinn Ostrom ◽  
Helen Hansen ◽  
Adam de Smith ◽  
Cassie Kline ◽  
...  

Abstract BACKGROUND Ependymoma is a histologically-defined central nervous system tumor most commonly occurring in children. Incidence differs by race/ethnicity, with individuals of European ancestry at highest risk. No large-scale genomic analyses of ependymoma predisposition have been conducted to date. We aimed to determine whether extent of European genetic ancestry is associated with ependymoma risk. METHODS In a multi-ethnic study of Californian children (327 cases, 1970 controls), we estimated the proportions of European, African, and Native American ancestry among admixed Hispanic and African-American subjects and estimated European substructure among non-Hispanic white subjects using genome-wide data. We tested whether genome-wide ancestry differences were associated with ependymoma risk and performed admixture mapping to identify associations with local European ancestry. We also re-analyzed CBTRUS data to examine subtype-specific differences in ependymoma incidence across racial/ethnic groups. RESULTS Each 20% increase in European ancestry was associated with 1.31-fold greater odds of ependymoma among Hispanic and African-American subjects (95% CI: 1.08–1.59, Pmeta=6.7×10–3). Among non-Hispanic whites, European ancestral substructure was also significantly associated with ependymoma risk. Local admixture mapping revealed a peak at 20p13 associated with increased local European ancestry, and genotype association analysis in the region identified an association upstream of R-spondin 4 that survived Bonferroni correction (P=2.2x10-5) but was not validated in an independent set of posterior fossa type A (PF-EPN-A) patients. In complementary CBTRUS analyses, American Indian/Alaskan Natives were at reduced risk relative to non-Hispanic whites (RR=0.64, 95% CI:0.46–0.87), as were African-Americans (RR=0.67, 95% CI:0.60–0.74) and Asian/Pacific Islanders (RR=0.86, 95% CI:0.73–1.00). Although overall ependymoma rates were similar in U.S. Hispanics (RR=0.96, 95% CI:0.88–1.05), lower rates were observed for myxopapillary ependymoma and other spinal ependymoma. CONCLUSION Inter-ethnic differences in ependymoma risk vary by histopathologic and potentially molecular subgroup, and are recapitulated in the genomic ancestry of ependymoma patients.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nathan Nakatsuka ◽  
Nick Patterson ◽  
Nikolaos A. Patsopoulos ◽  
Nicolas Altemose ◽  
Arti Tandon ◽  
...  

Abstract Epidemiological studies have suggested differences in the rate of multiple sclerosis (MS) in individuals of European ancestry compared to African ancestry, motivating genetic scans to identify variants that could contribute to such patterns. In a whole-genome scan in 899 African-American cases and 1155 African-American controls, we confirm that African-Americans who inherit segments of the genome of European ancestry at a chromosome 1 locus are at increased risk for MS [logarithm of odds (LOD) = 9.8], although the signal weakens when adding an additional 406 cases, reflecting heterogeneity in the two sets of cases [logarithm of odds (LOD) = 2.7]. The association in the 899 individuals can be fully explained by two variants previously associated with MS in European ancestry individuals. These variants tag a MS susceptibility haplotype associated with decreased CD58 gene expression (odds ratio of 1.37; frequency of 84% in Europeans and 22% in West Africans for the tagging variant) as well as another haplotype near the FCRL3 gene (odds ratio of 1.07; frequency of 49% in Europeans and 8% in West Africans). Controlling for all other genetic and environmental factors, the two variants predict a 1.44-fold higher rate of MS in European-Americans compared to African-Americans.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4059-4059
Author(s):  
Erin Peckham ◽  
Philip J Lupo ◽  
Michael E Scheurer ◽  
Rikhia Chakraborty ◽  
John Belmont ◽  
...  

Abstract Introduction: Langerhans cell histiocytosis (LCH) is a disease characterized by inflammatory lesions including pathologic CD207+ dendritic cells. Clinically, LCH is highly variable ranging from single lesions to highly aggressive, disseminated disease involving multiple organs and requiring intensive chemotherapy. Recent data support a model of pathogenesis in which activating somatic mutations in MAPK pathway genes arise in myeloid DC precursors. However, little is known about genetic susceptibility to this condition. Therefore, we conducted a genome-wide association study to characterize the role of inherited genetic variants on disease risk. Methods: We utilized a case-parent trio approach, which is immune to the effects of population stratification bias. Specifically, this allows for the inclusion of individuals regardless of genetic ancestry. LCH case-parent trios (n=134) were recruited from Texas Children's Cancer Center. Genotyping was performed using the Illumina Omni-5 Quad BeadChip. Genetic ancestry was determined using the bioinformatics algorithm STRUCTURE. To inform this algorithm, a set of 12,898 autosomal ancestry informative markers specifically identified to infer population substructure was extracted from the study trios. Estimated genomic ancestral proportions were then used to classify each study participant as either of European ancestry, Amerindian ancestry, or of African ancestry. For the association analysis, we focused on the role of common variants (i.e., minor allele frequency ≥5%). The association analysis was conducted utilizing the PREMIM-EMIM algorithm, an established, multinomial log-likelihood approach for assessing case-parent trios GWAS data. This method allows for the inclusion of "incomplete" trios (e.g., mother-case duos). We applied a genome-wide statistical significance cutoff of p<1.0x10-5. Results: In this GWAS, LCH cases were predominantly male (54%), and based on the genetic ancestry analysis, 60% were of European ancestry, 36% Amerindian ancestry, and 4% African ancestry. Among the 343 individuals included in the analysis, 1,672,105 SNPs autosomal SNPs were assessed and an overview of the results is displayed using a Manhattan plot. We identified five potential inherited genomic regions associated with LCH susceptibility. The strongest associations between inherited SNPs and childhood LCH were seen in SMAD6 on chromosome 15 (p-value = 2.38x10-7) and in ECE1 on chromosome 1 (p-value = 2.15x10-6). Conclusions: In this genome-wide assessment of the role of inherited genetic variation on the risk of LCH, we identified SNPs with significant effects in genes implicated in diverse pathways including embryogenesis and cellular division. Among the proteins encoded by the regions identified, SMAD6and ECE1 have both been reported to impact ERK activation, a critical feature of LCH pathogenesis. These findings support potential for inherited genetic variants to influence risk of developing LCH. Disclosures Allen: NovImmune: Consultancy, Other: unpaid; Roche: Consultancy, Other: unpaid.


2020 ◽  
Vol 22 (11) ◽  
pp. 1637-1646 ◽  
Author(s):  
Chenan Zhang ◽  
Quinn T Ostrom ◽  
Helen M Hansen ◽  
Julio Gonzalez-Maya ◽  
Donglei Hu ◽  
...  

Abstract Background Ependymoma is a histologically defined central nervous system tumor most commonly occurring in childhood. Population-level incidence differences by race/ethnicity are observed, with individuals of European ancestry at highest risk. We aimed to determine whether extent of European genetic ancestry is associated with ependymoma risk in US populations. Methods In a multi-ethnic study of Californian children (327 cases, 1970 controls), we estimated the proportions of European, African, and Native American ancestry among recently admixed Hispanic and African American subjects and estimated European admixture among non-Hispanic white subjects using genome-wide data. We tested whether genome-wide ancestry differences were associated with ependymoma risk and performed admixture mapping to identify associations with local ancestry. We also evaluated race/ethnicity-stratified ependymoma incidence data from the Central Brain Tumor Registry of the United States (CBTRUS). Results CBTRUS data revealed that African American and Native American children have 33% and 36%, respectively, reduced incidence of ependymoma compared with non-Hispanic whites. In genetic analyses, a 20% increase in European ancestry was associated with a 1.31-fold higher odds of ependymoma among self-reported Hispanics and African Americans (95% CI: 1.08–1.59, Pmeta = 6.7 × 10−3). Additionally, eastern European ancestral substructure was associated with increased ependymoma risk in non-Hispanic whites (P = 0.030) and in Hispanics (P = 0.043). Admixture mapping revealed a peak at 20p13 associated with increased local European ancestry, and targeted fine-mapping identified a lead variant at rs6039499 near RSPO4 (odds ratio = 1.99; 95% CI: 1.45–2.73; P = 2.2 × 10−5) but which was not validated in an independent set of posterior fossa type A patients. Conclusions Interethnic differences in ependymoma risk are recapitulated in the genomic ancestry of ependymoma patients, implicating regions to target in future association studies.


Author(s):  
Melissa L. Spear ◽  
Alex Diaz-Papkovich ◽  
Elad Ziv ◽  
Joseph M. Yracheta ◽  
Simon Gravel ◽  
...  

AbstractPeople in the Americas represent a diverse group of populations with varying degrees of admixture among African, European, and Amerindigenous ancestries. In the United States, many populations with non-European ancestry remain understudied, and thus little is known about the genetic architecture of phenotypic variation in these populations. Using genome-wide genotype data from the Hispanic Community Health Study/Study of Latinos, we find that Amerindigenous ancestry has increased over time across Hispanic/Latino populations, particularly in Mexican Americans where Amerindigenous ancestry increased by an average of ∼20% over the 50-year period spanning 1940s-1990s. We find similar patterns across American cities, and replicate our observations in an independent sample of Mexican Americans. These dynamic ancestry patterns are a result of a complex interaction of several population and cultural factors, including strong ancestry-related assortative mating and subtle shifts in migration with differences in subcontinental Amerindigenous ancestry over time. These factors have shaped patterns of genetic variation, including an increase in runs of homozygosity in Amerindigenous ancestral tracts, and also influenced the genetic architecture of complex traits within the Mexican American population. We show for height, a trait correlated with ancestry, polygenic risk scores based on summary statistics from a European-based genome-wide association study perform poorly in Mexican Americans. Our findings reveal temporal changes in population structure within Hispanics/Latinos that may influence biomedical traits, demonstrating a crucial need to improve our understanding of the genetic diversity of admixed populations.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2030-2030
Author(s):  
Kristin A Rand ◽  
Chi Song ◽  
Amie E. Hwang ◽  
Carol A. Huff ◽  
Leon Bernal-Mizrachi ◽  
...  

Abstract Multiple myeloma (MM) is 2-3 times more common among African-Americans compared to non-Hispanic whites. The 2-3-fold increased risk among family members of cases suggests a genetic contribution to risk. Genome-wide association studies (GWAS) in populations of European ancestry have identified seven novel risk loci at 2p23.3 (rs6746082), 3q26.2 (rs10936599), 3p22.1 (rs1052501), 6p21.32 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077) and 22q13.1 (rs877529) (Broderick, et al. Nat Genet, 2011, Chubb, et al. Nat Genet, 2013), three of which were replicated in another European series (Martino et al., Br J Haematol, 2012). Here we examined the index signals and conducted fine-mapping for each locus in a case-control study of 1,049 multiple myeloma cases and 7,084 controls of African ancestry to identify better markers of risk and novel independent loci in seven previously reported regions in this high risk population. Incident cases were recruited from 10 clinical centers and SEER cancer registries from 2011 to 2013 and genotyped using the Illumina HumanCore GWAS array. Control data were obtained from previous genome-wide studies of breast and prostate cancer, genotyped using the Illumina 1M-Duo in 4425 male controls from the African Ancestry Prostate Cancer Consortium (consisting of 14 independent studies) and 2632 female controls from a breast cancer GWAS of African-American women (consisting of 9 independent studies). Imputation to 1000 Genomes (March 2012 release) was conducted for regions around six of the previously identified single nucleotide polymorphisms [SNPs] (the HLA region harboring rs2285803 is still being imputed, results will be presented). A case-control analysis of SNPs/indels >1% frequency within 250 kb of each index variant was conducted using unconditional multivariable logistic regression adjusting for age, sex and five leading principal components. Region-specific alpha levels were determined through permutation tests. The minimum alpha level across the six regions was α=0.002. All previously reported risk variants were common in African-Americans (minor allele frequency [MAF] >0.05). For five of the six SNPs, we had ≥94% power to detect the same effect observed in non-Hispanic whites, and 64% power for the less common variant rs10936599 (MAF=0.07). We observed directionally consistent effects (odds ratio [OR]>1) for the six risk variants tested, with three replicating at p≤0.05 (7p15.3, p=1.4x10-7; 17p11.2, p=0.05; 22q13.1, p=0.02). For three of the six regions, we observed better markers of risk in African-Americans that were correlated with the index SNP in Europeans (7p15.3, rs56333627, p=1.5x10-5, r2=0.89; 17p11.2, rs34562254, p=2.9x10-3, r2=0.90; 22q13.1, rs2092410, p=1.1x10-4 r2=.71). The missense variant identified in the 17p11.2 region (rs34562254, Pro251Leu) is located in TNFRSF13B, which encodes the protein TACI, a B cell surface receptor which plays a role in B cell maturation, apoptosis and antibody production by inducing activation of transcription factors including NFAT and NFκβ. In addition, there is evidence suggesting that TACI is involved in MM pathogenesis. Our results demonstrate that many of the risk loci for MM found in European ancestry populations are also risk loci in men and women of African ancestry and that by fine-mapping, we are able to identify variants that better capture risk in populations of African ancestry. Disclosures Terebelo: Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.


2020 ◽  
Vol 4 (1) ◽  
pp. 181-190 ◽  
Author(s):  
Zhaohui Du ◽  
Niels Weinhold ◽  
Gregory Chi Song ◽  
Kristin A. Rand ◽  
David J. Van Den Berg ◽  
...  

Abstract Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P &lt; 1 × 10−6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P &lt; .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10−12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Rasika Mathias ◽  
Kruthika Iyer ◽  
Margaret Taub ◽  
Lisa Yanek ◽  
Diane Becker ◽  
...  

Background: Shorter telomere length is associated with an increased risk of coronary artery disease (CAD). A prior genomewide association study (GWAS) on 37,684 European ancestry individuals identified seven loci determining leukocyte telomere length (LTL). A genetic risk score across all 7 loci showed an association with CAD. In this study we sequenced these loci to determine whether the same risk variants could be replicated in African admixed individuals. Methods: We used whole genome sequence data (WGS) in 127 healthy African American subjects from GeneSTAR, a family study of early-onset CAD. LTL was calculated from WGS raw bam data (>30x coverage on the Illumina HiSeq platform) for 7 contiguous repeats of the telomere motif (TTAGGG or CCCTAA, Ding et al., 2014). Tests for association for LTL adjusting for age and sex were performed for a total of 55,821 called variants from ~1Mb subset regions of WGS genotype data centered on each of the 7 European peak GWAS SNPs. Results: We identified a total of 17 variants with p<5x10 -4 mapping to 6 of the 7 regions examined; none of the prior European GWAS peak SNPs were significant. The peak SNP per region in the African Americans included intronic variants rs77138331 in ACYP2 (p=0.0005, MAF = 7%), rs149577640 in NAF1 (p=0.002, MAF=1%), rs35387865 in TERT (p=0.003, MAF = 1%) and rs186486116 in OBFC1 (p=0.004, MAF=1%). Additionally, novel intronic variants not previously observed in dbSNP located at chr19: 22190184 (p=0.005, MAF=1%) and chr2:62445438 (0.005, MAF=2%), mapping to ZNF208 and RTEL1 , were also identified as determinants of LTL. Discussion: This is the first study of telomere length in African Americans using a sequencing approach. We are unable to confirm the European-based GWAS variants but identify several associations mapping to genes of importance in telomere biology. Our results provide evidence that the set of SNPs to be included in calculation of a telomeric genetic CAD risk score may be different in populations of European and African ancestry.


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