Sequencing of autosomal, mitochondrial and Y-chromosomal forensic markers in the People of the British Isles cohort detects population structure dominated by patrilineages.

Short tandem repeat (STR) polymorphisms are traditionally assessed by measuring allele lengths via capillary electrophoresis (CE). Massively parallel sequencing (MPS) reveals differences among alleles of the same length, thus improving discrimination, but also identifying groups of alleles likely related by descent. These may have relatively restricted geographical distributions and thus MPS could detect population structure more effectively than CE-based analysis. We addressed this question by applying an MPS multiplex, the Promega PowerSeq™ Auto/Mito/Y System prototype, to 362 individuals chosen to represent a wide geographical spread from the People of the British Isles (PoBI) cohort, which represents at least three generations of local rural ancestry. As well as 22 autosomal STRs (aSTRs; equivalent to PowerPlex Fusion loci) the system sequences 23 Y-STRs (the PowerPlexY 23 loci) and the control region (CR) of mitochondrial DNA (mtDNA), allowing population structure to be compared across biparentally and uniparentally inherited segments of the genome. For all loci, FST-based tests of population structure were done based on historical, linguistic, and geographical partitions, and for aSTRs the clustering algorithm STRUCTURE was also applied. STRs were considered using both length and sequence. Sequencing increased aSTR allele diversity by 87.5% compared to CE-based designations, reducing random match probability to 1.25E-30, compared to a CE-based 6.72E-27. Significant population structure was detectable in just one pairwise comparison (Central/South East England compared to the rest), and for sequence-based alleles only. The 362 samples carried 308 distinct mtDNA CR haplotypes corresponding to 13 broad haplogroups, representing a haplotype diversity of 0.9985 ( ± 0.0005), and a haplotype match probability of 0.0043. No significant population structure was observed. Y-STR haplotypes belonged to ten broad predicted Y-haplogroups. Allele diversity increased by 33% when considered at the sequence rather than length level, although haplotype diversity was unchanged at 0.999969 ( ± 0.000001); haplotype match probability was 2.79E-03. In contrast to the biparentally and maternally inherited loci, Y-STR haplotypes showed significant population structure at several levels, but most markedly in a comparison of regions subject to Anglo-Saxon influence in the east with the rest of the sample. This was evident for both length- and sequence-based allele designations, with no systematic difference between the two. We conclude that MPS analysis of aSTRs or Y-STRs does not generally reveal stronger population structure than length-based analysis, that UK maternal lineages are not significantly structured, and that Y-STR haplotypes reveal significant population structure that may reflect the Anglo-Saxon migrations to Britain in the 6th century.

Author Correction: The Irish DNA Atlas: Revealing Fine-Scale Population Structure and History within Ireland.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

Genetics of the human face: Identification of large-effect single gene variants.

To discover specific variants with relatively large effects on the human face, we have devised an approach to identifying facial features with high heritability. This is based on using twin data to estimate the additive genetic value of each point on a face, as provided by a 3D camera system. In addition, we have used the ethnic difference between East Asian and European faces as a further source of face genetic variation. We use principal components (PCs) analysis to provide a fine definition of the surface features of human faces around the eyes and of the profile, and chose upper and lower 10% extremes of the most heritable PCs for looking for genetic associations. Using this strategy for the analysis of 3D images of 1,832 unique volunteers from the well-characterized People of the British Isles study and 1,567 unique twin images from the TwinsUK cohort, together with genetic data for 500,000 SNPs, we have identified three specific genetic variants with notable effects on facial profiles and eyes.

The Irish DNA Atlas: Revealing Fine-Scale Population Structure and History within Ireland.

The extent of population structure within Ireland is largely unknown, as is the impact of historical migrations. Here we illustrate fine-scale genetic structure across Ireland that follows geographic boundaries and present evidence of admixture events into Ireland. Utilising the 'Irish DNA Atlas', a cohort (n = 194) of Irish individuals with four generations of ancestry linked to specific regions in Ireland, in combination with 2,039 individuals from the Peoples of the British Isles dataset, we show that the Irish population can be divided in 10 distinct geographically stratified genetic clusters; seven of 'Gaelic' Irish ancestry, and three of shared Irish-British ancestry. In addition we observe a major genetic barrier to the north of Ireland in Ulster. Using a reference of 6,760 European individuals and two ancient Irish genomes, we demonstrate high levels of North-West French-like and West Norwegian-like ancestry within Ireland. We show that that our 'Gaelic' Irish clusters present homogenous levels of ancient Irish ancestries. We additionally detect admixture events that provide evidence of Norse-Viking gene flow into Ireland, and reflect the Ulster Plantations. Our work informs both on Irish history, as well as the study of Mendelian and complex disease genetics involving populations of Irish ancestry.

The fine-scale genetic structure of the British population.

Fine-scale genetic variation between human populations is interesting as a signature of historical demographic events and because of its potential for confounding disease studies. We use haplotype-based statistical methods to analyse genome-wide single nucleotide polymorphism (SNP) data from a carefully chosen geographically diverse sample of 2,039 individuals from the United Kingdom. This reveals a rich and detailed pattern of genetic differentiation with remarkable concordance between genetic clusters and geography. The regional genetic differentiation and differing patterns of shared ancestry with 6,209 individuals from across Europe carry clear signals of historical demographic events. We estimate the genetic contribution to southeastern England from Anglo-Saxon migrations to be under half, and identify the regions not carrying genetic material from these migrations. We suggest significant pre-Roman but post-Mesolithic movement into southeastern England from continental Europe, and show that in non-Saxon parts of the United Kingdom, there exist genetically differentiated subgroups rather than a general 'Celtic' population.

Role of rare variants in undetermined multiple adenomatous polyposis and early-onset colorectal cancer.

Some 15-20% of multiple adenomatous polyposis have no genetic explanation and 20-30% of colorectal cancer (CRC) cases are thought to be due to inherited multifactorial causes. Accumulation of deleterious effects of low-frequency dominant and independently acting variants may be a partial explanation for such patients. The aim of this study was to type a selection of rare and low-frequency variants (<5%) to elucidate their role in CRC susceptibility. A total of 1181 subjects were included (866 controls; 315 cases). Cases comprised UK (n=184) and French (n=131) patients with MAP (n=187) or early-onset CRC (n=128). Seventy variants in 17 genes were examined in cases and controls. The effect of the variant effect on protein function was investigated in silico. Out of the 70 variants typed, 36 (51%) were tested for association. Twenty-one variants were rare (minor allele frequency (MAF) <1%). Four rare variants were found to have a significantly higher MAF in cases (EXO1-12, MLH1-1, CTNNB1-1 and BRCA2-37, P<0.05) than in controls. Pooling all rare variants with a MAF <0.5% showed an excess risk in cases (odds ratio=3.2; 95% confidence interval=1.1-9.5; P=0.04). Rare variants are important risk factors in CRC and, as such, should be systematically assayed alongside common variation in the search for the genetic basis of complex diseases.

People of the British Isles: preliminary analysis of genotypes and surnames in a UK-control population.

There is a great deal of interest in a fine-scale population structure in the UK, both as a signature of historical immigration events and because of the effect population structure may have on disease association studies. Although population structure appears to have a minor impact on the current generation of genome-wide association studies, it is likely to have a significant part in the next generation of studies designed to search for rare variants. A powerful way of detecting such structure is to control and document carefully the provenance of the samples involved. In this study, we describe the collection of a cohort of rural UK samples (The People of the British Isles), aimed at providing a well-characterised UK-control population that can be used as a resource by the research community, as well as providing a fine-scale genetic information on the British population. So far, some 4000 samples have been collected, the majority of which fit the criteria of coming from a rural area and having all four grandparents from approximately the same area. Analysis of the first 3865 samples that have been geocoded indicates that 75% have a mean distance between grandparental places of birth of 37.3 km, and that about 70% of grandparental places of birth can be classed as rural. Preliminary genotyping of 1057 samples demonstrates the value of these samples for investigating a fine-scale population structure within the UK, and shows how this can be enhanced by the use of surnames.

Cyclin D1 rare variants in UK multiple adenoma and early-onset colorectal cancer patients.

We examined the influence that rare variants and low-frequency polymorphisms in the cancer candidate gene CCND1 have on the development of multiple intestinal adenomas and the early onset of colorectal cancer. Individuals with <100 multiple polyps and patients with colorectal cancer diagnosed before 50 years of age were recruited in UK, and screened for sequence changes in the coding and regulatory regions of CCND1. A set of about 800 UK control individuals was genotyped for the variants discovered in the cases. Variants in the promoter, intron-exon boundaries and untranslated regions of the CCND1 gene had higher frequencies in cases than in controls. Five of these variants were typed in a set of French multiple adenoma and early-onset patients, who also showed higher allele frequencies than UK controls. When pooled together, variants with frequencies lower than 1% conferred an increased risk of disease that was significant in the multiple adenoma group (odds ratio (OR) 2.2; 95% confidence interval, 1.1-4.4; P = 0.03). Most variants had a putative functional effect when assessed in silico. We conclude that rare variants of CCND1 are risk factors for colorectal cancer, with considerably larger effects than common polymorphisms, and as such should be systematically evaluated in susceptibility studies.