Xingbin Wang

Gene-Centric Meta-Analysis of Lipid Traits in African, East Asian and Hispanic Populations

Meta-analyses of European populations has successfully identified genetic variants in over 100 loci associated with lipid levels, but our knowledge in other ethnicities remains limited. To address this, we performed dense genotyping of ∼2,000 candidate genes in 7,657 African Americans, 1,315 Hispanics and 841 East Asians, using the IBC array, a custom ∼50,000 SNP genotyping array. Meta-analyses confirmed 16 lipid loci previously established in European populations at genome-wide significance level, and found multiple independent association signals within these lipid loci. Initial discovery and in silico follow-up in 7,000 additional African American samples, confirmed two novel loci: rs5030359 within ICAM1 is associated with total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) (p = 8.8×10−7 and p = 1.5×10−6 respectively) and a nonsense mutation rs3211938 within CD36 is associated with high-density lipoprotein cholesterol (HDL-C) levels (p = 13.5×10−12). The rs3211938-G allele, which is nearly absent in European and Asian populations, has been previously found to be associated with CD36 deficiency and shows a signature of selection in Africans and African Americans. Finally, we have evaluated the effect of SNPs established in European populations on lipid levels in multi-ethnic populations and show that most known lipid association signals span across ethnicities. However, differences between populations, especially differences in allele frequency, can be leveraged to identify novel signals, as shown by the discovery of ICAM1 and CD36 in the current report.

Connecting the Dots: Potential of Data Integration to Identify Regulatory SNPs in Late-Onset Alzheimer's Disease GWAS Findings

Late-onset Alzheimers disease (LOAD) is a multifactorial disorder with over twenty loci associated with disease risk. Given the number of genome-wide significant variants that fall outside of coding regions, it is possible that some of these variants alter some function of gene expression rather than tagging coding variants that alter protein structure and/or function. RegulomeDB is a database that annotates regulatory functions of genetic variants. In this study, we utilized RegulomeDB to investigate potential regulatory functions of lead single nucleotide polymorphisms (SNPs) identified in five genome-wide association studies (GWAS) of risk and age-at onset (AAO) of LOAD, as well as SNPs in LD (r2≥0.80) with the lead GWAS SNPs. Of a total 614 SNPs examined, 394 returned RegulomeDB scores of 1–6. Of those 394 variants, 34 showed strong evidence of regulatory function (RegulomeDB score <3), and only 3 of them were genome-wide significant SNPs (ZCWPW1/rs1476679, CLU/rs1532278 and ABCA7/rs3764650). This study further supports the assumption that some of the non-coding GWAS SNPs are true associations rather than tagged associations and demonstrates the application of RegulomeDB to GWAS data.

Investigation of an amyloid precursor protein protective mutation (A673T) in a North American case-control sample of late-onset Alzheimer's disease

A rare amyloid precursor protein gene variant, A673T (rs63750847) was recently reported to protect against Alzheimers disease and age-related cognitive decline among Icelanders and the same rare variant was observed also in Finnish, Norwegian, and Swedish populations. We investigated this variant in 1674 late-onset Alzheimers disease cases and 2644 elderly control subjects, all North American Whites (US Whites). We did not observe any example of the A673T variant in our large sample. Our findings suggest that this rare variant could be specific to the individuals of the origin from the Nordic countries.

Genome-Wide Association Study of Antiphospholipid Antibodies

Background. The persistent presence of antiphospholipid antibodies (APA) may lead to the development of primary or secondary antiphospholipid syndrome. Although the genetic basis of APA has been suggested, the identity of the underlying genes is largely unknown. In this study, we have performed a genome-wide association study (GWAS) in an effort to identify susceptibility loci/genes for three main APA: anticardiolipin antibodies (ACL), lupus anticoagulant (LAC), and anti-β 2 glycoprotein I antibodies (anti-β 2GPI). Methods. DNA samples were genotyped using the Affymetrix 6.0 array containing 906,600 single-nucleotide polymorphisms (SNPs). Association of SNPs with the antibody status (positive/negative) was tested using logistic regression under the additive model. Results. We have identified a number of suggestive novel loci with P < E − 05. Although they do not meet the conservative threshold of genome-wide significance, many of the suggestive loci are potential candidates for the production of APA. We have replicated the previously reported associations of HLA genes and APOH with APA but these were not the top loci. Conclusions. We have identified a number of suggestive novel loci for APA that will stimulate follow-up studies in independent and larger samples to replicate our findings.

Genetic Variation in Imprinted Genes is Associated with Risk of Late-Onset Alzheimer's Disease

Epigenetic changes including genomic imprinting may affect risk of late-onset Alzheimers disease (LOAD). There are >100 known imprinted genes and most of them are expressed in human brain. In this study, we examined the association of single nucleotide polymorphisms (SNPs) in 93 imprinted genes with LOAD risk in 1291 LOAD cases and 958 cognitively normal controls. We performed single-site, gene-based, and haplotype analyses. Single-site analysis showed 14 significant associations at p < 0.01. The most significant SNP (rs11770199; p = 0.0003) in single-site analysis was located on chromosome 7 in the GRB10 gene. Gene-based analyses revealed four significant associations in the WT1, ZC3H12C, DLGAP2, and GPR1 genes at p < 0.05. The haplotype analysis also revealed significant associations with three genes (ZC3H12C, DLGAP2, and GPR1). These findings suggest a possible role of imprinted genes in AD pathogenesis that show specific expression in the brain.

Association of 32 type 1 diabetes risk loci in Pakistani patients.

AIM To identify risk alleles contributing towards type 1 diabetes in Pakistani patients. INTRODUCTION Type 1 diabetes (T1D) is an autoimmune disease which is caused by destruction of insulin producing β cells by immune system. Genetic predisposition as well as environmental factors contribute to its etiology. To date more than 40 risk loci have been identified for T1D. METHODOLOGY A total of 191 family-based and unrelated T1D cases and controls were recruited. DNA was extracted and 32 genome-wide significant single nucleotide polymorphisms (SNPs) previously reported in Europeans were genotyped. Genotyping was performed using TaqMan SNP genotyping assays and the data was analyzed using FamCC software. RESULTS Our results showed significant association of 10 single nucleotide polymorphisms (SNPs) with T1D at p<0.01, including HLA-DQA1/rs9272346, ERBB3/rs2292239, SIRPG/rs2281808, IL2-KIAA1109/rs4505848, GLIS3/rs7020673, CD226/rs763361, PTPN2/rs478582, IKZF1/rs10272724, BACH2/rs11755527, C6orf173/rs9388489, whereas 5 more SNPs showed their association at 0.01<p<0.05 in Pakistani population. CONCLUSION We have replicated many of the T1D loci established among Europeans in a Pakistani population.

Impact of Genetic Variants in Human Scavenger Receptor Class B Type I (SCARB1) on Plasma Lipid Traits

Background—Scavenger receptor class B type 1 (SCARB1) plays an important role in high-density lipoprotein cholesterol (HDL-C) metabolism in selective cholesteryl ester uptake and in free cholesterol cellular efflux. Methods and Results—This study aims to identify common (minor allele frequency ≥5%) and low-frequency/rare (minor allele frequency <5%) variants, using resequencing all 13 exons and exon-intron boundaries of SCARB1 in 95 individuals with extreme HDL-C levels selected from a population-based sample of 623 US non-Hispanic whites. The sequencing step identified 44 variants, of which 11 were novel with minor allele frequency <1%. Seventy-six variants (40 sequence variants, 32 common HapMap tag single nucleotide polymorphisms, and 4 relevant variants) were selected for genotyping in the total sample of 623 subjects followed by association analyses with lipid traits. Seven variants were nominally associated with apolipoprotein B (apoB; n=4) or HDL-C (n=3; P<0.05). Three variants associated with apoB remained significant after controlling false discovery rate. The most significant association was observed between rs4765615 and apoB (P=0.0059), while rs11057844 showed the strongest association with HDL-C (P=0.0035). A set of 17 rare variants (minor allele frequency ⩽1%) showed significant association with apoB (P=0.0284). Haplotype analysis revealed 4 regions significantly associated with either apoB or HDL-C. Conclusions—Our findings provide new information about the genetic role of SCARB1 in affecting plasma apoB levels in addition to its established role in HDL-C metabolism.

Identification of a New Susceptibility Locus for Systemic Lupus Erythematosus on Chromosome 12 in Individuals of European Ancestry

Genome‐wide association studies (GWAS) in individuals of European ancestry identified a number of systemic lupus erythematosus (SLE) susceptibility loci using earlier versions of high‐density genotyping platforms. Followup studies on suggestive GWAS regions using larger samples and more markers identified additional SLE loci in subjects of European descent. This multistage study was undertaken to identify novel SLE loci.

Erratum to: Genetic link of type 1 diabetes susceptibility loci with rheumatoid arthritis in Pakistani patients

Rheumatoid arthritis (RA) and type 1 diabetes (T1D) are two autoimmune disorders that have been reported to co-occur in the same subjects or in different subjects from the same family. This suggests the sharing of disease susceptibility loci between RA and T1D. This study was aimed to find out such susceptibility loci that are common in both T1D and RA in Pakistani population. A total of 366 Pakistanis comprising related and unrelated RA cases and controls were recruited. Blood samples were collected from all patients followed by DNA isolation. Thirty-one single-nucleotide polymorphisms (SNPs) previously reported to be associated with T1D were genotyped in RA cases and controls using TaqMan SNP genotyping assays. Data was analyzed using FamCC software. We have identified seven SNP associations that survived multiple testing corrections using false discovery rate: SKAP2/rs7804356 (p = 2.47E-04), GLIS3/rs7020673 (p = 2.86E-04), GSDMB/rs2290400 (p = 23.48E-04), BACH2/rs11755527 (p = 9.16E-04), C6orf173/ rs9388489 (p = 3.11E-03), PRKCQ/DKFZp667F0711/ rs947474 (p = 4.53E-03), and DLK1/ rs941576 (p = 9.51E-03). Our results support the presence of overlapping loci between RA and T1D in Pakistani patients.

Lipoprotein lipase gene sequencing and plasma lipid profile

Lipoprotein lipase (LPL) plays a crucial role in lipid metabolism by hydrolyzing triglyceride (TG)-rich particles and affecting HDL cholesterol (HDL-C) levels. In this study, the entire LPL gene plus flanking regions were resequenced in individuals with extreme HDL-C/TG levels (n = 95), selected from a population-based sample of 623 US non-Hispanic White (NHW) individuals. A total of 176 sequencing variants were identified, including 28 novel variants. A subset of 64 variants [common tag single nucleotide polymorphisms (tagSNP) and selected rare variants] were genotyped in the total sample, followed by association analyses with major lipid traits. A gene-based association test including all genotyped variants revealed significant association with HDL-C (P = 0.024) and TG (P = 0.006). Our single-site analysis revealed seven independent signals (P < 0.05; r2 < 0.40) with either HDL-C or TG. The most significant association was for the SNP rs295 exerting opposite effects on TG and HDL-C levels with P values of 7.5.10−4 and 0.002, respectively. Our work highlights some common variants and haplotypes in LPL with significant associations with lipid traits; however, the analysis of rare variants using burden tests and SKAT-O method revealed negligible effects on lipid traits. Comprehensive resequencing of LPL in larger samples is warranted to further test the role of rare variants in affecting plasma lipid levels.