%0 Journal Article %J Nat Commun %D 2017 %T Enrichment of low-frequency functional variants revealed by whole-genome sequencing of multiple isolated European populations. %A Xue, Yali %A Mezzavilla, Massimo %A Haber, Marc %A McCarthy, Shane %A Chen, Yuan %A Narasimhan, Vagheesh %A Gilly, Arthur %A Ayub, Qasim %A Colonna, Vincenza %A Southam, Lorraine %A Finan, Christopher %A Massaia, Andrea %A Chheda, Himanshu %A Palta, Priit %A Ritchie, Graham %A Asimit, Jennifer %A Dedoussis, George %A Gasparini, Paolo %A Palotie, Aarno %A Ripatti, Samuli %A Soranzo, Nicole %A Toniolo, Daniela %A Wilson, James F %A Durbin, Richard %A Tyler-Smith, Chris %A Zeggini, Eleftheria %K European Continental Ancestry Group %K Gene Frequency %K Genetic Variation %K Genetics, Population %K Genome, Human %K Humans %K Polymorphism, Single Nucleotide %K Whole Genome Sequencing %X

The genetic features of isolated populations can boost power in complex-trait association studies, and an in-depth understanding of how their genetic variation has been shaped by their demographic history can help leverage these advantageous characteristics. Here, we perform a comprehensive investigation using 3,059 newly generated low-depth whole-genome sequences from eight European isolates and two matched general populations, together with published data from the 1000 Genomes Project and UK10K. Sequencing data give deeper and richer insights into population demography and genetic characteristics than genotype-chip data, distinguishing related populations more effectively and allowing their functional variants to be studied more fully. We demonstrate relaxation of purifying selection in the isolates, leading to enrichment of rare and low-frequency functional variants, using novel statistics, DVxy and SVxy. We also develop an isolation-index (Isx) that predicts the overall level of such key genetic characteristics and can thus help guide population choice in future complex-trait association studies.

%B Nat Commun %V 8 %P 15927 %8 2017 06 23 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/28643794?dopt=Abstract %R 10.1038/ncomms15927 %0 Journal Article %J Eur J Hum Genet %D 2015 %T Genetic evidence for an origin of the Armenians from Bronze Age mixing of multiple populations. %A Haber, Marc %A Mezzavilla, Massimo %A Xue, Yali %A Comas, David %A Gasparini, Paolo %A Zalloua, Pierre %A Tyler-Smith, Chris %X

The Armenians are a culturally isolated population who historically inhabited a region in the Near East bounded by the Mediterranean and Black seas and the Caucasus, but remain under-represented in genetic studies and have a complex history including a major geographic displacement during World War I. Here, we analyse genome-wide variation in 173 Armenians and compare them with 78 other worldwide populations. We find that Armenians form a distinctive cluster linking the Near East, Europe, and the Caucasus. We show that Armenian diversity can be explained by several mixtures of Eurasian populations that occurred between ~3000 and ~2000 bce, a period characterized by major population migrations after the domestication of the horse, appearance of chariots, and the rise of advanced civilizations in the Near East. However, genetic signals of population mixture cease after ~1200 bce when Bronze Age civilizations in the Eastern Mediterranean world suddenly and violently collapsed. Armenians have since remained isolated and genetic structure within the population developed ~500 years ago when Armenia was divided between the Ottomans and the Safavid Empire in Iran. Finally, we show that Armenians have higher genetic affinity to Neolithic Europeans than other present-day Near Easterners, and that 29% of Armenian ancestry may originate from an ancestral population that is best represented by Neolithic Europeans.European Journal of Human Genetics advance online publication, 21 October 2015; doi:10.1038/ejhg.2015.206.

%B Eur J Hum Genet %8 2015 Oct 21 %G ENG %1 http://www.ncbi.nlm.nih.gov/pubmed/26486470?dopt=Abstract %R 10.1038/ejhg.2015.206 %0 Journal Article %J Am J Hum Genet %D 2015 %T The Kalash genetic isolate: ancient divergence, drift, and selection. %A Ayub, Qasim %A Mezzavilla, Massimo %A Pagani, Luca %A Haber, Marc %A Mohyuddin, Aisha %A Khaliq, Shagufta %A Mehdi, Syed Qasim %A Tyler-Smith, Chris %K Asia %K Asian Continental Ancestry Group %K Chromosomes, Human, Y %K Demography %K DNA, Mitochondrial %K European Continental Ancestry Group %K Genetic Drift %K Genetics, Population %K Haplotypes %K History, Ancient %K Humans %K Male %K Pakistan %K Phylogeny %X

The Kalash represent an enigmatic isolated population of Indo-European speakers who have been living for centuries in the Hindu Kush mountain ranges of present-day Pakistan. Previous Y chromosome and mitochondrial DNA markers provided no support for their claimed Greek descent following Alexander III of Macedon's invasion of this region, and analysis of autosomal loci provided evidence of a strong genetic bottleneck. To understand their origins and demography further, we genotyped 23 unrelated Kalash samples on the Illumina HumanOmni2.5M-8 BeadChip and sequenced one male individual at high coverage on an Illumina HiSeq 2000. Comparison with published data from ancient hunter-gatherers and European farmers showed that the Kalash share genetic drift with the Paleolithic Siberian hunter-gatherers and might represent an extremely drifted ancient northern Eurasian population that also contributed to European and Near Eastern ancestry. Since the split from other South Asian populations, the Kalash have maintained a low long-term effective population size (2,319-2,603) and experienced no detectable gene flow from their geographic neighbors in Pakistan or from other extant Eurasian populations. The mean time of divergence between the Kalash and other populations currently residing in this region was estimated to be 11,800 (95% confidence interval = 10,600-12,600) years ago, and thus they represent present-day descendants of some of the earliest migrants into the Indian sub-continent from West Asia.

%B Am J Hum Genet %V 96 %P 775-83 %8 2015 May 7 %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/25937445?dopt=Abstract %R 10.1016/j.ajhg.2015.03.012