Imputation of exome sequence variants into population- based samples and blood-cell-trait-associated loci in African Americans: NHLBI GO Exome Sequencing Project

Common and rare von Willebrand factor (VWF) coding variants, VWF levels, and factor VIII levels in African Americans: the NHLBI Exome Sequencing Project

Several rare European von Willebrand disease missense variants of VWF (including p.Arg2185Gln and p.His817Gln) were recently reported to be common in apparently healthy African Americans (AAs). Using data from the NHLBI Exome Sequencing Project, we assessed the association of these and other VWF coding variants with von Willebrand factor (VWF) and factor VIII (FVIII) levels in 4468 AAs. Of 30 nonsynonymous VWF variants, 6 were significantly and independently associated (P < .001) with levels of VWF and/or FVIII. Each additional copy of the common VWF variants encoding p.Thr789Ala or p.Asp1472His was associated with 6 to 8 IU/dL higher VWF levels. The VWF variant encoding p.Arg2185Gln was associated with 7 to 13 IU/dL lower VWF and FVIII levels. The type 2N-related VWF variant encoding p.His817Gln was associated with 17 IU/dL lower FVIII level but normal VWF level. A novel, rare missense VWF variant that predicts disruption of an O-glycosylation site (p.Ser1486Leu) and a rare variant encoding p.Arg2287Trp were each associated with 30 to 40 IU/dL lower VWF level (P < .001). In summary, several common and rare VWF missense variants contribute to phenotypic differences in VWF and FVIII among AAs.

Genome-wide association study of age at menarche in African-American women

African-American (AA) women have earlier menarche on average than women of European ancestry (EA), and earlier menarche is a risk factor for obesity and type 2 diabetes among other chronic diseases. Identification of common genetic variants associated with age at menarche has a potential value in pointing to the genetic pathways underlying chronic disease risk, yet comprehensive genome-wide studies of age at menarche are lacking for AA women. In this study, we tested the genome-wide association of self-reported age at menarche with common single-nucleotide polymorphisms (SNPs) in a total of 18 089 AA women in 15 studies using an additive genetic linear regression model, adjusting for year of birth and population stratification, followed by inverse-variance weighted meta-analysis (Stage 1). Top meta-analysis results were then tested in an independent sample of 2850 women (Stage 2). First, while no SNP passed the pre-specified P < 5 × 10(-8) threshold for significance in Stage 1, suggestive associations were found for variants near FLRT2 and PIK3R1, and conditional analysis identified two independent SNPs (rs339978 and rs980000) in or near RORA, strengthening the support for this suggestive locus identified in EA women. Secondly, an investigation of SNPs in 42 previously identified menarche loci in EA women demonstrated that 25 (60%) of them contained variants significantly associated with menarche in AA women. The findings provide the first evidence of cross-ethnic generalization of menarche loci identified to date, and suggest a number of novel biological links to menarche timing in AA women.

Genome-wide association studies of hematologic phenotypes: a window into human hematopoiesis

The study of human hematopoiesis is often limited by the inability to manipulate this process in vivo and differences that exist between humans and commonly employed model organisms. However, human genetics provides a way to gain insight into natural variation in a variety of hematologic phenotypes and creates an opportunity to better understand hematopoiesis. In this review, we discuss how genome-wide association studies are revealing common genetic variation that is associated with hematologic traits and diseases. We discuss how the resulting insight from these studies promises to increase our understanding of human hematopoiesis and outline the challenges that lay ahead in this field.

Rare-variant genome-wide association studies: a new frontier in genetic analysis of complex traits

Genome-wide association studies have, in the last few years, identified thousands of common genetic variants associated with common complex traits and diseases, implicating many genes not previously known to be involved in the biology of those traits. However, these variants have so far explained little of the population variance in trait values or disease susceptibility. As large-scale genome sequencing efforts have revealed the extent of genetic variation at the low end of the frequency range in human populations, the effects of rare variants have been proposed as an explanation of the ‘missing genetic variance.’ Improved technologies for genotyping rare variants, including inexpensive whole-genome and whole-exome sequencing and rare-variant genotyping chips, coupled with novel analytical methods, are making genome-wide scans for the effects of rare variants possible, and seem likely to usher in a new era in the genetic analysis of complex traits.