Search

Your search keyword '"Ayub Q"' showing total 210 results
Start Over Author "Ayub Q"
210 results on '"Ayub Q"'

5. Responses of different okra (Abelmoschus esculentus) cultivars to water deficit conditions

Author

Ayub, Q, Khan, S M, Hussain, I, Naveed, K, Ali, S, Mehmood, A, Khan, M J, Haq, N U, Shehzad, Q, Ayub, Q, Khan, S M, Hussain, I, Naveed, K, Ali, S, Mehmood, A, Khan, M J, Haq, N U, and Shehzad, Q

Abstract

A pot experiment was conducted to evaluate the adverse effects of drought on different okra cultivars and to identify the most suitable okra cultivar for growing in drought conditions. Five okra cultivars namely Pusa Green, Clemson, Sabz Pari, Pusa Swani and Mehak Pari were subjected to three drought levels i.e., control (100% Field capacity),50% and 25% Field Capacity (FC). Physiological parameters like fresh and dry weight of plant and plant height were recorded along with biochemical attributes such as chlorophyll content (a, b, total) carotenoids, total protein, proline content, and Membrane stability index (MSI%). Results showed that drought significantly reduced all the studied parameters and at maximum drought (25% FC) lowest values of fresh weight (12.42g), dry weight (1.22g), plant height (7.86cm), chlorophyll a (9.02mg/g FW), chlorophyll b (18.69mg/g FW), total chlorophyll (27.71mg/g FW), carotenoids (11.80mg/g FW), total protein (2.73mg/g FW),whereas maximum Proline (21.36μg/g FW), and MSI (72%) were observed under the same drought. The results concerning responses of okra cultivars under drought conditions showed that maximum. Fresh weight (15.25g) and Dry weight (2.74g) was observed in Pusa green while maximum Plant height (13.77cm), Chlorophyll a (14.38mg/g FW), Chlorophyll b (24.41mg/g FW), Total Chlorophyll (38.80mg/g FW), Carotenoids (18.57mg/g FW), Total Protein (5.44mg/g FW), Proline (27.78μg/g FW), and MSI (56.33%) were produced by Sabz Pari. Hence it can be concluded that drought causes significant variation on physical and biochemical attributes of okra whereas Sabz Pari showed resistance towards the applied stress and produced better results.

Published
2021

6. Y haplogroups and aggressive behavior in a Pakistani ethnic group

Author

Shah, S. Shoaib, Ayub, Q., Firasat, S., Kaiser, F., and Mehdi, S.Q.

Subjects
Pakistanis -- Behavior, Pakistanis -- Genetic aspects, Aggressiveness (Psychology) -- Genetic aspects, Behavior genetics -- Research, Haplotypes -- Research, Health, Psychology and mental health, Sociology and social work
Published
2009

7. High rate of multidrug-resistant Enterobacteriaceae carrying ESBL and plasmid-borne AmpC ß-lactamase in a Malaysian community

Author

Dwiyanto, J., primary, Ong, K.S., additional, Hor, J.W., additional, Levins, J., additional, Thowfeek, S.A.R., additional, Kok, I., additional, Boon, K.J.C., additional, Md Zoqratt, M.Z.H., additional, Reidpath, D., additional, Ayub, Q., additional, Lee, S.W.H., additional, Lee, S.M., additional, and Rahman, S., additional

Published
2020
Full Text
View/download PDF

8. Genetic Risk Assessment of Degenerative Eye Disease (GRADE): study protocol of a prospective assessment of polygenic risk scores to predict diagnosis of glaucoma and age-related macular degeneration

Author

Georgina L Hollitt, Ayub Qassim, Daniel Thomson, Joshua M Schmidt, Thi Thi Nguyen, John Landers, Stuart MacGregor, Owen M Siggs, Emmanuelle Souzeau, and Jamie E Craig

Subjects
Glaucoma, Polygenic risk score, Genetic testing, Macular degeneration, POAG, AMD, Ophthalmology, RE1-994
Abstract

Abstract Background Glaucoma and age-related macular degeneration (AMD) account for a substantial portion of global blindness. Both conditions are highly heritable, with recognised monogenic and polygenic inheritance patterns. Current screening guidelines lack decisive recommendations. Polygenic risk scores (PRS) allow for cost-effective broad population risk stratification for these conditions. The predictive potential of PRS could facilitate earlier diagnosis and treatment, and prevent unnecessary vision loss. Methods The Genetic Risk Assessment of Degenerative Eye disease (GRADE) study is a prospective study designed to generate high-quality evidence about the feasibility of PRS to stratify individuals from the general population, enabling identification of those at highest risk of developing glaucoma or AMD. The targeted recruitment is 1000 individuals aged over 50 years, from which blood or saliva samples will be used for genotyping and an individual PRS for glaucoma and AMD will be derived. Individuals with PRS values in the bottom decile (n = 100), top decile (n = 100) and middle 80% (n = 100) for both glaucoma and AMD will undergo a detailed eye examination for glaucoma and/or AMD. Discussion The primary objective will be to compare the prevalence of glaucoma and AMD cases between low, intermediate, and high PRS risk groups. We expect to find a higher prevalence of both diseases in the high PRS risk group, as compared to the middle and low risk groups. This prospective study will assess the clinical validity of a PRS for glaucoma and AMD in the general Australian population. Positive findings will support the implementation of PRS into clinical practice.

Published
2023
Full Text
View/download PDF

9. Dissection of paracrine/autocrine interplay in lung tumor microenvironment mimicking cancer cell-monocyte co-culture models reveals proteins that promote inflammation and metastasis

Author

Asif Amin, Aabid Mustafa Koul, Umer Majeed Wani, Faizah Farooq, Basit Amin, Zubair Wani, Asif Lone, Ayub Qadri, and Raies A. Qadri

Subjects
Tumor microenvironment, Tumor associated macrophages, Inflammation, Secretome, Metastasis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Tumor cell-monocyte interactions play crucial roles in shaping up the pro-tumorigenic phenotype and functional output of tumor-associated macrophages. Within the tumor microenvironment, such heterotypic cell–cell interactions are known to occur via secretory proteins. Secretory proteins establish a diabolic liaison between tumor cells and monocytes, leading to their recruitment, subsequent polarization and consequent tumor progression. Methods We co-cultured model lung adenocarcinoma cell line A549 with model monocytes, THP-1 to delineate the interactions between them. The levels of prototypical pro-inflammatory cytokines like TNF-𝛼, IL-6 and anti-inflammatory cytokines like IL-10 were measured by ELISA. Migration, invasion and attachment independence of lung cancer cells was assessed by wound healing, transwell invasion and colony formation assays respectively. The status of EMT was evaluated by immunofluorescence. Identification of secretory proteins differentially expressed in monocultures and co-culture was carried out using SILAC LC–MS/MS. Various insilico tools like Cytoscape, Reacfoam, CHAT and Kaplan–Meier plotter were utilized for association studies, pathway analysis, functional classification, cancer hallmark relevance and predicting the prognostic potential of the candidate secretory proteins respectively. Results Co-culture of A549 and THP-1 cells in 1:10 ratio showed early release of prototypical pro-inflammatory cytokines TNF-𝛼 and IL-6, however anti-inflammatory cytokine, IL-10 was observed to be released at the highest time point. The conditioned medium obtained from this co-culture ratio promoted the migration, invasion and colony formation as well as the EMT of A549 cells. Co-culturing of A549 with THP-1 cells modulated the secretion of proteins involved in cell proliferation, migration, invasion, EMT, inflammation, angiogenesis and inhibition of apoptosis. Among these proteins Versican, Tetranectin, IGFBP2, TUBB4B, C2 and IFI30 were found to correlate with the inflammatory and pro-metastatic milieu observed in our experimental setup. Furthermore, dysregulated expression of these proteins was found to be associated with poor prognosis and negative disease outcomes in lung adenocarcinoma compared to other cancer types. Pharmacological interventions targeting these proteins may serve as useful therapeutic approaches in lung adenocarcinoma. Conclusion In this study, we have demonstrated that the lung cancer cell-monocyte cross-talk modulates the secretion of IFI30, RNH1, CLEC3B, VCAN, IGFBP2, C2 and TUBB4B favoring tumor growth and metastasis.

Published
2023
Full Text
View/download PDF

11. Phenotypic consequences of a nanophthalmos-associated TMEM98 variant in human and mouse

Author

Mark M. Hassall, Shari Javadiyan, Sonja Klebe, Mona S. Awadalla, Shiwani Sharma, Ayub Qassim, Melissa White, Paul Q. Thomas, Jamie E. Craig, and Owen M. Siggs

Subjects
Medicine, Science
Abstract

Abstract Nanophthalmos is characterised by shorter posterior and anterior segments of the eye, with a predisposition towards high hyperopia and primary angle-closure glaucoma. Variants in TMEM98 have been associated with autosomal dominant nanophthalmos in multiple kindreds, but definitive evidence for causation has been limited. Here we used CRISPR/Cas9 mutagenesis to recreate the human nanophthalmos-associated TMEM98 p.(Ala193Pro) variant in mice. The p.(Ala193Pro) variant was associated with ocular phenotypes in both mice and humans, with dominant inheritance in humans and recessive inheritance in mice. Unlike their human counterparts, p.(Ala193Pro) homozygous mutant mice had normal axial length, normal intraocular pressure, and structurally normal scleral collagen. However, in both homozygous mice and heterozygous humans, the p.(Ala193Pro) variant was associated with discrete white spots throughout the retinal fundus, with corresponding retinal folds on histology. This direct comparison of a TMEM98 variant in mouse and human suggests that certain nanophthalmos-associated phenotypes are not only a consequence of a smaller eye, but that TMEM98 may itself play a primary role in retinal and scleral structure and integrity.

Published
2023
Full Text
View/download PDF

12. No Strong Association between the Apolipoprotein E E4 Allele and Glaucoma

Author

Sean Mullany, MD, Santiago Diaz-Torres, MPhil, Joshua M. Schmidt, PhD, Daniel Thomson, PhD, Ayub Qassim, MBBS, PhD, Henry N. Marshall, MD, Lachlan S.W. Knight, MOrth, Ella C. Berry, MChD, Antonia Kolovos, MD, David Dimasi, PhD, Stewart Lake, MBChB, PhD, Richard A. Mills, MBBS, PhD, John Landers, MBBS, PhD, Paul Mitchell, MBBS, PhD, Paul R. Healey, MBBS, PhD, Toby Commerford, MBBS, Sonja Klebe, MD, PhD, Emmanuelle Souzeau, PhD, Mark M. Hassall, MBBS, DPhil, Stuart MacGregor, PhD, Puya Gharahkhani, PhD, Owen M. Siggs, MD, DPhil, and Jamie E. Craig, MBBS, DPhil

Subjects
Alzheimer’s dementia, APOE, Apolipoprotein E, Glaucoma, POAG, Ophthalmology, RE1-994
Abstract

Purpose: To elucidate a potential association between the apolipoprotein E (APOE) E4 allele and glaucoma prevalence in large cohorts. Design: A cross-sectional analysis of baseline and prospectively collected cohort data. Participants: UK Biobank (UKBB) participants of genetically determined European ancestry (n = 438 711). Replication analyses were performed using clinical and genotyping data collected from European participants recruited to the Canadian Longitudinal Study of Aging (CLSA; n = 18 199), the Australian and New Zealand Registry of Advanced Glaucoma (ANZRAG; n = 1970), and the Blue Mountains Eye Study (BMES; n = 2440). Methods: Apolipoprotein E alleles and genotypes were determined, and their distributions were compared on the basis of glaucoma status. Similar analyses were performed using positive control outcomes associated with the APOE E4 allele (death, dementia, age-related macular degeneration) and negative control outcomes not associated with the APOE E4 allele (cataract, diabetic eye disease). Outcome phenotypes were also correlated with Alzheimer’s dementia (AD), a clinical outcome highly associated with the APOE E4 allele. Main Outcome Measures: Results of APOE E4 genotype-phenotype comparisons were reported as odds ratios (ORs) with 95% confidence intervals (CIs). Replication analyses investigated APOE E4 associations in 2 replication cohorts (CLSA and ANZRAG/BMES). Results: The APOE E4 allele was inversely associated with glaucoma (OR, 0.96; 95% CI, 0.93–0.99; P = 0.016) and both negative controls (cataract: OR, 0.98; 95% CI, 0.96–0.99; P = 0.015; diabetic eye disease: OR, 0.92; 95% CI, 0.87–0.97; P = 0.003) in the UKBB cohort. A paradoxical positive association was observed between AD and both glaucoma (OR, 1.30; 95% CI, 1.08–1.54; P < 0.01) and cataract (OR, 1.15; 1.04–1.28; P = 0.018). No association between the APOE E4 allele and glaucoma was observed in either replication cohort (CLSA: OR, 1.03; 95% CI, 0.89–1.19; P = 0.66; ANZRAG/BMES: OR, 0.97; 95% CI, 0.84–1.12; P = 0.65). Conclusions: A small negative association observed between APOE E4 and glaucoma within the UKBB was not evident in either replication cohort and may represent an artifact of glaucoma underdiagnosis in APOE E4 carriers. Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Published
2023
Full Text
View/download PDF

13. An Ethnolinguistic and Genetic Perspective on the Origins of the Dravidian-Speaking Brahui in Pakistan

Author

Luca Pagani, Colonna, V., Tyler-Smith, C., and Ayub, Q.

Subjects
Origins of the Dravidian-Speaking, Article
Abstract

Pakistan is a part of South Asia that modern humans encountered soon after they left Africa ~50 - 70,000 years ago. Approximately 9,000 years ago they began establishing cities that eventually expanded to represent the Harappan culture, rivalling the early city states of Mesopotamia. The modern state constitutes the north western land mass of the Indian sub-continent and is now the abode of almost 200 million humans representing many ethnicities and linguistic groups. Studies utilising autosomal, Y chromosomal and mitochondrial DNA markers in selected Pakistani populations revealed a mixture of Western Eurasian-, South- and East Asian-specific lineages, some of which were unequivocally associated with past migrations. Overall in Pakistan, genetic relationships are generally predicted more accurately by geographic proximity than linguistic origin. The Dravidian-speaking Brahui population are a prime example of this. They currently reside in south-western Pakistan, surrounded by Indo-Europeans speakers with whom they share a common genetic origin. In contrast, the Hazara share the highest affinity with East Asians, despite their Indo-European linguistic affiliation. In this report we reexamine the genetic origins of the Brahuis, and compare them with diverse populations from India, including several Dravidian-speaking groups, and present a genetic perspective on ethnolinguistic groups in present-day Pakistan. Given the high affinity of Brahui to the other Indo-European Pakistani populations and the absence of population admixture with any of the examined Indian Dravidian groups, we conclude that Brahui are an example of cultural (linguistic) retention following a major population replacement.

Published
2017

14. Genomic analyses inform on migration events during the peopling of Eurasia

Author

Pagani, L, Lawson, DJ, Jagoda, E, Mörseburg, A, Eriksson, A, Mitt, M, Clemente, F, Hudjashov, G, Degiorgio, M, Saag, L, Wall, JD, Cardona, A, Mägi, R, Sayres, MAW, Kaewert, S, Inchley, C, Scheib, CL, Järve, M, Karmin, M, Jacobs, GS, Antao, T, Iliescu, FM, Kushniarevich, A, Ayub, Q, Tyler-Smith, C, Xue, Y, Yunusbayev, B, Tambets, K, Mallick, CB, Pocheshkhova, E, Andriadze, G, Muller, C, Westaway, MC, Lambert, DM, Zoraqi, G, Turdikulova, S, Dalimova, D, Sabitov, Z, Sultana, GNN, Lachance, J, Tishkoff, S, Momynaliev, K, Isakova, J, Damba, LD, Gubina, M, Nymadawa, P, Evseeva, I, Atramentova, L, Utevska, O, Ricaut, FX, Brucato, N, Sudoyo, H, Letellier, T, Cox, MP, Barashkov, NA, Mulahasanović, L, Primorac, D, Mormina, M, Eichstaedt, CA, Lichman, DV, Chaubey, G, Wee, JTS, Mihailov, E, Karunas, A, Litvinov, S, Khusainova, R, and Ekomasova, N

Abstract

© 2016 Macmillan Publishers Limited, part of Springer Nature. High-Coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genomes from 148 populations worldwide, including 379 new genomes from 125 populations, which we group into diversity and selection sets. We analyse this dataset to refine estimates of continent-wide patterns of heterozygosity, long-and short-distance gene flow, archaic admixture, and changes in effective population size through time as well as for signals of positive or balancing selection. We find a genetic signature in present-day Papuans that suggests that at least 2% of their genome originates from an early and largely extinct expansion of anatomically modern humans (AMHs) out of Africa. Together with evidence from the western Asian fossil record, and admixture between AMHs and Neanderthals predating the main Eurasian expansion, our results contribute to the mounting evidence for the presence of AMHs out of Africa earlier than 75,000 years ago.

Published
2016
Full Text
View/download PDF

16. A recent bottleneck of Y chromosome diversity coincides with a global change in culture

Author

Karmin M., Saag L., Vicente M., Wilson Sayres M., Järve M., Talas U., Rootsi S., Ilumäe A., Mägi R., Mitt M., Pagani L., Puurand T., Faltyskova Z., Clemente F., Cardona A., Metspalu E., Sahakyan H., Yunusbayev B., Hudjashov G., DeGiorgio M., Loogväli E., Eichstaedt C., Eelmets M., Chaubey G., Tambets K., Litvinov S., Mormina M., Xue Y., Ayub Q., Zoraqi G., Korneliussen T., Akhatova F., Lachance J., Tishkoff S., Momynaliev K., Ricaut F., Kusuma P., Razafindrazaka H., Pierron D., Cox M., Sultana G., Willerslev R., Muller C., Westaway M., Lambert D., Skaro V., Kovačević L., Turdikulova S., Dalimova D., Khusainova R., Trofimova N., Akhmetova V., Khidiyatova I., Lichman D., Isakova J., Pocheshkhova E., Sabitov Z., Barashkov N., Nymadawa P., Mihailov E., Seng J., Evseeva I., Migliano A., Abdullah S., Andriadze G., Primorac D., Atramentova L., Utevska O., Yepiskoposyan L., Marjanović D., Kushniarevich A., and Behar D.

Abstract

© 2015 Karmin et al. It is commonly thought that human genetic diversity in non-African populations was shaped primarily by an out-of-Africa dispersal 50-100 thousand yr ago (kya). Here, we present a study of 456 geographically diverse high-coverage Y chromosome sequences, including 299 newly reported samples. Applying ancient DNA calibration, we date the Y-chromosomal most recent common ancestor (MRCA) in Africa at 254 (95% CI 192-307) kya and detect a cluster of major non-African founder haplogroups in a narrow time interval at 47-52 kya, consistent with a rapid initial colonization model of Eurasia and Oceania after the out-of-Africa bottleneck. In contrast to demographic reconstructions based on mtDNA, we infer a second strong bottleneck in Y-chromosome lineages dating to the last 10 ky. We hypothesize that this bottleneck is caused by cultural changes affecting variance of reproductive success among males.

Published
2015

17. Deep Roots for Aboriginal Australian Y Chromosomes.

Author

Bergström, A, Nagle, N, Chen, Y, McCarthy, S, Pollard, MO, Ayub, Q, Wilcox, S, Wilcox, L, van Oorschot, RAH, McAllister, P, Williams, L, Xue, Y, Mitchell, RJ, Tyler-Smith, C, Bergström, A, Nagle, N, Chen, Y, McCarthy, S, Pollard, MO, Ayub, Q, Wilcox, S, Wilcox, L, van Oorschot, RAH, McAllister, P, Williams, L, Xue, Y, Mitchell, RJ, and Tyler-Smith, C

Abstract

Australia was one of the earliest regions outside Africa to be colonized by fully modern humans, with archaeological evidence for human presence by 47,000 years ago (47 kya) widely accepted [1, 2]. However, the extent of subsequent human entry before the European colonial age is less clear. The dingo reached Australia about 4 kya, indirectly implying human contact, which some have linked to changes in language and stone tool technology to suggest substantial cultural changes at the same time [3]. Genetic data of two kinds have been proposed to support gene flow from the Indian subcontinent to Australia at this time, as well: first, signs of South Asian admixture in Aboriginal Australian genomes have been reported on the basis of genome-wide SNP data [4]; and second, a Y chromosome lineage designated haplogroup C(∗), present in both India and Australia, was estimated to have a most recent common ancestor around 5 kya and to have entered Australia from India [5]. Here, we sequence 13 Aboriginal Australian Y chromosomes to re-investigate their divergence times from Y chromosomes in other continents, including a comparison of Aboriginal Australian and South Asian haplogroup C chromosomes. We find divergence times dating back to ∼50 kya, thus excluding the Y chromosome as providing evidence for recent gene flow from India into Australia.

Published
2016

19. Patrilinear origins of Pakistani ethnic groups

Author

Qamar, R, Ayub, Q., Mohyuddin, A., Mazhar, K., Mansoor, A., Khaliq, S., Zerjal, T., Tyler-Smith, C., and Mehdi, S.Q.

Subjects
Human genetics -- Research, Human population genetics -- Research, Ethnic groups -- Genetic aspects, Biological sciences
Published
2001

20. HLA POLYMORPHISMS IN PAKISTANI ETHNIC GROUPS

Author

Mohyuddin, A., Ayub, Q., Khaliq, S., Mansoor, A., Mazhar, K., Rehman, S., Qamar, R., and Mehdi, S.Q.

Subjects
Genetic disorders -- Research, Pakistanis -- Genetic aspects, Ethnic groups -- Genetic aspects, Human genetics -- Research, Biological sciences
Published
2001

21. A Study of the Greek Ancestry of Northern Pakistani Ethnic Groups Using 115 Microsatellite Markers

Author

Mansoor, A., Ayub, Q., Qamar, R., Mazhar, K., Khaliq, S., Siddiqi, S., Rahman, S., Papaioannou, M., and Mehdi, S.Q.

Subjects
Asia -- Emigration and immigration, Asia Minor -- Emigration and immigration, Human genetics -- Research, Cladistic analysis -- Usage, Emigration and immigration -- Research, Genetic markers -- Usage, Anthropological research -- Genetic aspects, Genetic research -- Usage, Biogeography -- Research, Indigenous peoples -- Genetic aspects, Biological invasions -- Genetic aspects, Gene frequency -- Research, Anthropological linguistics -- Usage, Greeks -- Emigration and immigration, Military history -- Genetic aspects, Ethnohistory -- Genetic aspects, Biological sciences
Published
2001

23. Human genomic regions with exceptionally high levels of population differentiation identified from 911 whole-genome sequences

Author

Colonna, V, Ayub, Q, Chen, Y, Pagani, L, Luisi, P, Pybus, M, Garrison, E, Xue, Y, Tyler-Smith, C, Abecasis, GR, Auton, A, Brooks, LD, Depristo, MA, Durbin, RM, Handsaker, RE, Kang, HM, Marth, GT, McVean, G, Altshuler, DM, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, ML, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Molecular Dynamics, Biomimetics, Urban and Regional Studies Institute, Nanomedicine & Drug Targeting, Artificial Intelligence, Micromechanics, Molecular Cell Biology, Van Swinderen Institute for Particle Physics and G, Archaeology of Northwestern Europe, Polymer Chemistry and Bioengineering, Christianity and the History of Ideas, Scientific Visualization and Computer Graphics, Chemical Technology, Macromolecular Chemistry & New Polymeric Materials, Bernoulli Institute, Surfaces and Thin Films, Hemelrijk group, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Falcao Salles lab, Synthetic Organic Chemistry, Psychometrics and Statistics, Bio-inspired systems and circuits, Advanced Production Engineering, Drug Design, The 1000 Genomes Project Consortium, Faculteit Medische Wetenschappen/UMCG, Wellcome Trust, Consiglio Nazionale delle Ricerche, EMBO, and 1000 Genomes Project Consortium

Subjects
Historia y Arqueología, lactase persistence, POSITIVE SELECTION, BALANCING SELECTION, SOFT SWEEP, Biología, standing variation, Population, Biology, Balancing selection, Genome, Polymorphism, Single Nucleotide, Genètica de poblacions humanes, Ciencias Biológicas, purl.org/becyt/ford/1 [https], selective sweep, functional annotation cluster, Genética y Herencia, HUMANIDADES, Genetic drift, Gene Frequency, INDEL Mutation, Humans, Selection, Genetic, education, purl.org/becyt/ford/1.6 [https], Selection (genetic algorithm), education.field_of_study, purl.org/becyt/ford/6 [https], Genome, Human, Research, Genetic Drift, Levenshtein distance, Selecció natural, Sequence Analysis, DNA, Human genetics, Otras Historia y Arqueología, Evolutionary biology, Human genome, purl.org/becyt/ford/6.1 [https], Selective sweep, Genètica humana -- Variació, CIENCIAS NATURALES Y EXACTAS
Abstract

It contains associated material.-- The 1000 Genomes Project Consortium, [Background] Population differentiation has proved to be effective for identifying loci under geographically localized positive selection, and has the potential to identify loci subject to balancing selection. We have previously investigated the pattern of genetic differentiation among human populations at 36.8 million genomic variants to identify sites in the genome showing high frequency differences. Here, we extend this dataset to include additional variants, survey sites with low levels of differentiation, and evaluate the extent to which highly differentiated sites are likely to result from selective or other processes., [Results] We demonstrate that while sites with low differentiation represent sampling effects rather than balancing selection, sites showing extremely high population differentiation are enriched for positive selection events and that one half may be the result of classic selective sweeps. Among these, we rediscover known examples, where we actually identify the established functional SNP, and discover novel examples including the genes ABCA12, CALD1 and ZNF804, which we speculate may be linked to adaptations in skin, calcium metabolism and defense, respectively., [Conclusions] We identify known and many novel candidate regions for geographically restricted positive selection, and suggest several directions for further research. © 2014 Colonna et al., This work was supported by The Wellcome Trust (098051), an Italian National Research Council (CNR) short-term mobility fellowship from the 2013 program to VC, and an EMBO Short Term Fellowship ASTF 324–2010 to VC.

Published
2014
Full Text
View/download PDF

24. Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel

Author

Delaneau O., Marchini J., McVeanh G.A., Donnelly P., Lunter G., Marchini J.L., Myers, S., Gupta-Hinch, A., Iqbal, Z., Mathieson I., Rimmer, A., Xifara, D.K., Kerasidou, A., Churchhouse, C., Altshuler, D.M., Gabriel, S.B., Lander, E.S., Gupta, N., Daly, M.J., DePristo, M.A., Banks, E., Bhatia G., Carneiro, M.O., Del Angel G., Genovese G., Handsaker, R.E., Hartl, C., McCarroll, S.A., Nemesh J.C., Poplin, R.E., Schaffner, S.F., Shakir, K., Sabeti P.C., Grossman, S.R., Tabrizi, S., Tariyal, R., Li H., Reich, D., Durbin, R.M., Hurles, M.E., Balasubramaniam, S., Burton J., Danecek P., Keane, T.M., Kolb-Kokocinski, A., McCarthy, S., Stalker J., Quail, M., Ayub Q., Chen, Y., Coffey, A.J., Colonna V., Huang, N., Jostins L., Scally, A., Walter, K., Xue, Y., Zhang, Y., Blackburne, B., Lindsay, S.J., Ning, Z., Frankish, A., Harrow J., Chris, T.-S., Abecasis G.R., Kang H.M., Anderson P., Blackwell, T., Busonero F., Fuchsberger, C., Jun G., Maschio, A., Porcu, E., Sidore, C., Tan, A., Trost, M.K., Bentley, D.R., Grocock, R., Humphray, S., James, T., Kingsbury, Z., Bauer, M., Cheetham, R.K., Cox, T., Eberle, M., Murray L., Shaw, R., Chakravarti, A., Clark, A.G., Keinan, A., Rodriguez-Flores J.L., De LaVega F.M., Degenhardt J., Eichler, E.E., Flicek P., Clarke L., Leinonen, R., Smith, R.E., Zheng-Bradley X., Beal, K., Cunningham F., Herrero J., McLaren W.M., Ritchie G.R.S., Barker J., Kelman G., Kulesha, E., Radhakrishnan, R., Roa, A., Smirnov, D., Streeter I., Toneva I., Gibbs, R.A., Dinh H., Kovar, C., Lee, S., Lewis L., Muzny, D., Reid J., Wang, M., Yu F., Bainbridge, M., Challis, D., Evani, U.S., Lu J., Nagaswamy, U., Sabo, A., Wang, Y., Yu J., Fowler G., Hale W., Kalra, D., Green, E.D., Knoppers, B.M., Korbel J.O., Rausch, T., Sttz, A.M., Lee, C., Griffin L., Hsieh, C.-H., Mills, R.E., Von Grotthuss, M., Zhang, C., Shi X., Lehrach H., Sudbrak, R., Amstislavskiy V.S., Lienhard, M., Mertes F., Sultan, M., Timmermann, B., Yaspo, M.L., Herwig, S.R., Mardis, E.R., Wilson, R.K., Fulton L., Fulton, R., Weinstock G.M., Chinwalla, A., Ding L., Dooling, D., Koboldt, D.C., McLellan, M.D., Wallis J.W., Wendl, M.C., Zhang Q., Marth G.T., Garrison, E.P., Kural, D., Lee W.-P., Leong W.F., Ward, A.N., Wu J., Zhang, M., Nickerson, D.A., Alkan, C., Hormozdiari F., Ko, A., Sudmant P.H., Schmidt J.P., Davies, C.J., Gollub J., Webster, T., Wong, B., Zhan, Y., Sherry, S.T., Xiao, C., Church, D., Ananiev V., Belaia, Z., Beloslyudtsev, D., Bouk, N., Chen, C., Cohen, R., Cook, C., Garner J., Hefferon, T., Kimelman, M., Liu, C., Lopez J., Meric P., Ostapchuk, Y., Phan L., Ponomarov, S., Schneider V., Shekhtman, E., Sirotkin, K., Slotta, D., Zhang H., Wang J., Fang X., Guo X., Jian, M., Jiang H., Jin X., Li G., Li J., Li, Y., Liu X., Lu, Y., Ma X., Tai, S., Tang, M., Wang, B., Wang G., Wu H., Wu, R., Yin, Y., Zhang W., Zhao J., Zhao, M., Zheng X., Lachlan H., Fang L., Li Q., Li, Z., Lin H., Liu, B., Luo, R., Shao H., Xie, Y., Ye, C., Yu, C., Zheng H., Zhu H., Cai H., Cao H., Su, Y., Tian, Z., Yang H., Yang L., Zhu J., Cai, Z., Albrecht, M.W., Borodina, T.A., Auton, A., Yoon, S.C., Lihm J., Makarov V., Jin H., Kim W., Kim, K.C., Gottipati, S., Jones, D., Cooper, D.N., Ball, E.V., Stenson P.D., Barnes, B., Kahn, S., Ye, K., Batzer, M.A., Konkel, M.K., Walker J.A., MacArthur, D.G., Lek, M., Shriver, M.D., Bustamante, C.D., Gravel, S., Kenny, E.E., Kidd J.M., Lacroute P., Maples, B.K., Moreno-Estrada, A., Zakharia F., Henn, B., Sandoval, K., Byrnes J.K., Halperin, E., Baran, Y., Craig, D.W., Christoforides, A., Izatt, T., Kurdoglu, A.A., Sinari, S.A., Homer, N., Squire, K., Sebat J., Bafna V., Burchard, E.G., Hernandez, R.D., Gignoux, C.R., Haussler, D., Katzman, S.J., Kent W.J., Howie, B., Ruiz-Linares, A., Dermitzakis, E.T., Lappalainen, T., Devine, S.E., Maroo, A., Tallon L.J., Rosenfeld J.A., Michelson L.P., Angius, A., Cucca F., Sanna, S., Bigham, A., Jones, C., Reinier F., Lyons, R., Schlessinger, D., Awadalla P., Hodgkinson, A., Oleksyk, T.K., Martinez-Cruzado J.C., Fu, Y., Xiong, M., Jorde L., Witherspoon, D., Xing J., Browning, B.L., Hajirasouliha I., Chen, K., Albers, C.A., Gerstein, M.B., Abyzov, A., Chen J., Habegger L., Harmanci, A.O., Mu X.J., Sisu, C., Balasubramanian, S., Jin, M., Khurana, E., Clarke, D., Michaelson J.J., OSullivan, C., Barnes, K.C., Gharani, N., Toji L.H., Gerry, N., Kaye J.S., Kent, A., Mathias, R., Ossorio P.N., Parker, M., Rotimi, C.N., Royal, C.D., Tishkoff, S., Via, M., Bodmer W., Bedoya G., Yang G., You, C.J., Garcia-Montero, A., Orfao, A., Dutil J., Brooks L.D., Felsenfeld, A.L., McEwen J.E., Clemm, N.C., Guyer, M.S., Peterson J.L., Duncanson, A., Dunn, M., Peltonen L., and 1000 Genomes Project Consortium

Subjects
haplotype, genetic association, genotype, General Physics and Astronomy, Genome-wide association study, genetic analysis, gene sequence, Biology, gene frequency, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, polymorphism, Gene Frequency, single nucleotide polymorphism, Humans, chromosome, human, 1000 Genomes Project, indel mutation, genome, Alleles, Genetic association, Genetics, Whole genome sequencing, Multidisciplinary, accuracy, Genome, Human, Haplotype, allele, article, reference database, General Chemistry, Microarray Analysis, chromosome 20, Haplotypes, Human genome, microarray analysis, Imputation (genetics), Algorithms, SNP array, Genome-Wide Association Study
Abstract

A major use of the 1000 Genomes Project (1000GP) data is genotype imputation in genome-wide association studies (GWAS). Here we develop a method to estimate haplotypes from low-coverage sequencing data that can take advantage of single-nucleotide polymorphism (SNP) microarray genotypes on the same samples. First the SNP array data are phased to build a backbone (or 'scaffold') of haplotypes across each chromosome. We then phase the sequence data 'onto' this haplotype scaffold. This approach can take advantage of relatedness between sequenced and non-sequenced samples to improve accuracy. We use this method to create a new 1000GP haplotype reference set for use by the human genetic community. Using a set of validation genotypes at SNP and bi-allelic indels we show that these haplotypes have lower genotype discordance and improved imputation performance into downstream GWAS samples, especially at low-frequency variants. © 2014 Macmillan Publishers Limited. All rights reserved.

Published
2014
Full Text
View/download PDF

25. Toward Male Individualization with Rapidly Mutating Y-Chromosomal Short Tandem Repeats

Author

Ballantyne, K.N., Ralf, A., Aboukhalid, R., Achakzai, N.M., Anjos, M.J., Ayub, Q., Balazic, J., Ballantyne, J., Ballard, D.J., Berger, B., Bobillo, C., Bouabdellah, M., Burri, H., Capal, T., Caratti, S., Cardenas, J., Cartault, F., Carvalho, E.F., Carvalho, M., Cheng, B.W., Coble, M.D., Comas, D., Corach, D., D'Amato, M.E., Davison, S., Knijff, P. de, Ungria, M.C.A. de, Decorte, R., Dobosz, T., Dupuy, B.M., Elmrghni, S., Gliwinski, M., Gomes, S.C., Grol, L., Haas, C., Hanson, E., Henke, J., Henke, L., Herrera-Rodriguez, F., Hill, C.R., Holmlund, G., Honda, K., Immel, U.D., Inokuchi, S., Jobling, M.A., Kaddura, M., Kim, J.S., Kim, S.H., Kim, W., King, T.E., Klausriegler, E., Kling, D., Kovacevic, L., Kovatsi, L., Krajewski, P., Kravchenko, S., Larmuseau, M.H.D., Lee, E.Y., Lessig, R., Livshits, L.A., Marjanovic, D., Minarik, M., Mizuno, N., Moreira, H., Morling, N., Mukherjee, M., Munier, P., Nagaraju, J., Neuhuber, F., Nie, S.J., Nilasitsataporn, P., Nishi, T., Oh, H.H., Olofsson, J., Onofri, V., Palo, J.U., Pamjav, H., Parson, W., Petlach, M., Phillips, C., Ploski, R., Prasad, S.P.R., Primorac, D., Purnomo, G.A., Purps, J., Rangel-Villalobos, H., Rebala, K., Rerkamnuaychoke, B., Gonzalez, D.R., Robino, C., Roewer, L., Rosa, A., Sajantila, A., Sala, A., Salvador, J.M., Sanz, P., Schmitt, C., Sharma, A.K., Silva, D.A., Shin, K.J., Sijen, T., Sirker, M., Sivakova, D., Skaro, V., Solano-Matamoros, C., Souto, L., Stenzl, V., Sudoyo, H., Syndercombe-Court, D., Tagliabracci, A., Taylor, D., Tillmar, A., Tsybovsky, I.S., Tyler-Smith, C., Gaag, K.J. van der, Vanek, D., Volgyi, A., Ward, D., Willemse, P., Yap, E.P.H., Yong, R.Y.Y., Pajnic, I.Z., Kayser, M., Hjelt Institute (-2014), Forensic Medicine, PaleOmics Laboratory, and Genetic Identification

Subjects
Male, Rural Population, haplotypes, Y-chromosome, Y-STRs, RM Y-STRs, paternal lineage, forensic, Asia, Forensic Science, Urban Population, Cell- och molekylärbiologi, education, Paternity, Gene Frequency, Humans, Alleles, Chromosomes, Human, Y, 1184 Genetics, developmental biology, physiology, Genetic Variation, DNA Fingerprinting, RM Y-STRs, Y-STRs, Y-chromosome, forensic, haplotypes, paternal lineage, Pedigree, Europe, Genetics, Population, Africa, 3111 Biomedicine, Americas, Cell and Molecular Biology, Microsatellite Repeats, Rättsmedicin
Abstract

Relevant for various areas of human genetics, Y-chromosomal short tandem repeats (Y-STRs) are commonly used for testing close paternal relationships among individuals and populations, and for male lineage identification. However, even the widely used 17-loci Yfiler set cannot resolve individuals and populations completely. Here, 52 centers generated quality-controlled data of 13 rapidly mutating (RM) Y-STRs in 14,644 related and unrelated males from 111 worldwide populations. Strikingly, >99% of the 12,272 unrelated males were completely individualized. Haplotype diversity was extremely high (global: 0.9999985, regional: 0.99836-0.9999988). Haplotype sharing between populations was almost absent except for six (0.05%) of the 12,156 haplotypes. Haplotype sharing within populations was generally rare (0.8% nonunique haplotypes), significantly lower in urban (0.9%) than rural (2.1%) and highest in endogamous groups (14.3%). Analysis of molecular variance revealed 99.98% of variation within populations, 0.018% among populations within groups, and 0.002% among groups. Of the 2,372 newly and 156 previously typed male relative pairs, 29% were differentiated including 27% of the 2,378 father-son pairs. Relative to Yfiler, haplotype diversity was increased in 86% of the populations tested and overall male relative differentiation was raised by 23.5%. Our study demonstrates the value of RMY-STRs in identifying and separating unrelated and related males and provides a reference database. Published 2014 Wiley Periodicals, Inc.**

Published
2014

26. A recent bottleneck of Y chromosome diversity coincides with a global change in culture

Author

Karmin, M., Saag, L., Vicente, M., Wilson Sayres, M.A., Jarve, M., Talas, U.G., Rootsi, S., Ilumae, A.M., Magi, R., Mitt, M., Pagani, L., Puurand, T., Faltyskova, Z., Clemente, F., Cardona, A., Metspalu, E., Sahakyan, H., Yunusbayev, B., Hudjashov, G., DeGiorgio, M., Loogvali, E.L., Eichstaedt, C., Eelmets, M., Chaubey, G., Tambets, K., Litvinov, S., Mormina, M., Xue, Y., Ayub, Q., Zoraqi, G., Korneliussen, T.S., Akhatova, F., Lachance, J., Tishkoff, S., Momynaliev, K., Ricaut, F.X., Kusuma, P., Razafindrazaka, H., Pierron, D., Cox, M.P., Sultana, G.N., Willerslev, R., Muller, C., Westaway, M., Lambert, D., Skaro, V., Kovacevic, L., Turdikulova, S., Dalimova, D., Khusainova, R., Trofimova, N., Akhmetova, V., Khidiyatova, I., Lichman, D.V., Isakova, J., Pocheshkhova, E., Sabitov, Z., Barashkov, N.A., Nymadawa, P., Mihailov, E., Seng, J.W., Evseeva, I., Migliano, A.B., Abdullah, S., Andriadze, G., Primorac, D., Atramentova, L., Utevska, O., Yepiskoposyan, L., Marjanovic, D., Kushniarevich, A., Behar, D.M., Gilissen, C., Vissers, L., Veltman, J.A., Balanovska, E., Derenko, M., Malyarchuk, B., Metspalu, A., Fedorova, S., Eriksson, A., Manica, A., Mendez, F.L., Karafet, T.M., Veeramah, K.R., Bradman, N., Hammer, M.F., Osipova, L.P., Balanovsky, O., Khusnutdinova, E.K., Johnsen, K., Remm, M., Thomas, M.G., Tyler-Smith, C., Underhill, P.A., Willerslev, E., Nielsen, R., Metspalu, M., Villems, R., Kivisild, T., Karmin, M., Saag, L., Vicente, M., Wilson Sayres, M.A., Jarve, M., Talas, U.G., Rootsi, S., Ilumae, A.M., Magi, R., Mitt, M., Pagani, L., Puurand, T., Faltyskova, Z., Clemente, F., Cardona, A., Metspalu, E., Sahakyan, H., Yunusbayev, B., Hudjashov, G., DeGiorgio, M., Loogvali, E.L., Eichstaedt, C., Eelmets, M., Chaubey, G., Tambets, K., Litvinov, S., Mormina, M., Xue, Y., Ayub, Q., Zoraqi, G., Korneliussen, T.S., Akhatova, F., Lachance, J., Tishkoff, S., Momynaliev, K., Ricaut, F.X., Kusuma, P., Razafindrazaka, H., Pierron, D., Cox, M.P., Sultana, G.N., Willerslev, R., Muller, C., Westaway, M., Lambert, D., Skaro, V., Kovacevic, L., Turdikulova, S., Dalimova, D., Khusainova, R., Trofimova, N., Akhmetova, V., Khidiyatova, I., Lichman, D.V., Isakova, J., Pocheshkhova, E., Sabitov, Z., Barashkov, N.A., Nymadawa, P., Mihailov, E., Seng, J.W., Evseeva, I., Migliano, A.B., Abdullah, S., Andriadze, G., Primorac, D., Atramentova, L., Utevska, O., Yepiskoposyan, L., Marjanovic, D., Kushniarevich, A., Behar, D.M., Gilissen, C., Vissers, L., Veltman, J.A., Balanovska, E., Derenko, M., Malyarchuk, B., Metspalu, A., Fedorova, S., Eriksson, A., Manica, A., Mendez, F.L., Karafet, T.M., Veeramah, K.R., Bradman, N., Hammer, M.F., Osipova, L.P., Balanovsky, O., Khusnutdinova, E.K., Johnsen, K., Remm, M., Thomas, M.G., Tyler-Smith, C., Underhill, P.A., Willerslev, E., Nielsen, R., Metspalu, M., Villems, R., and Kivisild, T.

Abstract

Contains fulltext : 153022.pdf (publisher's version ) (Open Access), It is commonly thought that human genetic diversity in non-African populations was shaped primarily by an out-of-Africa dispersal 50-100 thousand yr ago (kya). Here, we present a study of 456 geographically diverse high-coverage Y chromosome sequences, including 299 newly reported samples. Applying ancient DNA calibration, we date the Y-chromosomal most recent common ancestor (MRCA) in Africa at 254 (95% CI 192-307) kya and detect a cluster of major non-African founder haplogroups in a narrow time interval at 47-52 kya, consistent with a rapid initial colonization model of Eurasia and Oceania after the out-of-Africa bottleneck. In contrast to demographic reconstructions based on mtDNA, we infer a second strong bottleneck in Y-chromosome lineages dating to the last 10 ky. We hypothesize that this bottleneck is caused by cultural changes affecting variance of reproductive success among males.

Published
2015

27. Deleterious- and Disease-Allele Prevalence in Healthy Individuals: Insights from Current Predictions, Mutation Databases, and Population-Scale Resequencing

Author

Xue, Y., Chen, Y., Ayub, Q., Huang, N., Ball, E., Mort, M., Phillips, A., Shaw, K., Stenson, P., Cooper, D., Tyler-Smith, C., The 1000 Genomes Project Consortium, Timmermann, B., Lehrach, H., and Herwig, R.

Abstract

We have assessed the numbers of potentially deleterious variants in the genomes of apparently healthy humans by using (1) low-coverage whole-genome sequence data from 179 individuals in the 1000 Genomes Pilot Project and (2) current predictions and databases of deleterious variants. Each individual carried 281–515 missense substitutions, 40–85 of which were homozygous, predicted to be highly damaging. They also carried 40–110 variants classified by the Human Gene Mutation Database (HGMD) as disease-causing mutations (DMs), 3–24 variants in the homozygous state, and many polymorphisms putatively associated with disease. Whereas many of these DMs are likely to represent disease-allele-annotation errors, between 0 and 8 DMs (0–1 homozygous) per individual are predicted to be highly damaging, and some of them provide information of medical relevance. These analyses emphasize the need for improved annotation of disease alleles both in mutation databases and in the primary literature; some HGMD mutation data have been recategorized on the basis of the present findings, an iterative process that is both necessary and ongoing. Our estimates of deleterious-allele numbers are likely to be subject to both overcounting and undercounting. However, our current best mean estimates of ∼400 damaging variants and ∼2 bona fide disease mutations per individual are likely to increase rather than decrease as sequencing studies ascertain rare variants more effectively and as additional disease alleles are discovered.

Published
2012

28. An integrated map of genetic variation from 1,092 human genomes

Author

Altshuler, DM, Durbin, RM, Abecasis, GR, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, Marth, GT, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, M-L, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Stalker, J, Quail, M, Davies, CJ, Gollub, J, Webster, T, Wong, B, Zhan, Y, Auton, A, Yu, F, Bainbridge, M, Challis, D, Evani, US, Lu, J, Nagaswamy, U, Sabo, A, Wang, Y, Yu, J, Coin, LJM, Fang, L, Li, Q, Lin, H, Liu, B, Luo, R, Qin, N, Shao, H, Xie, Y, Ye, C, Yu, C, Zhang, F, Zheng, H, Zhu, H, Garrison, EP, Kural, D, Lee, W-P, Leong, WF, Ward, AN, Wu, J, Zhang, M, Griffin, L, Hsieh, C-H, Mills, RE, Shi, X, Von Grotthuss, M, Zhang, C, Daly, MJ, DePristo, MA, Banks, E, Bhatia, G, Carneiro, MO, Del Angel, G, Genovese, G, Handsaker, RE, Hartl, C, McCarroll, SA, Nemesh, JC, Poplin, RE, Schaffner, SF, Shakir, K, Yoon, SC, Lihm, J, Makarov, V, Jin, H, Kim, W, Kim, KC, Rausch, T, Beal, K, Cunningham, F, Herrero, J, McLaren, WM, Ritchie, GRS, Gottipati, S, Keinan, A, Rodriguez-Flores, JL, Sabeti, PC, Grossman, SR, Tabrizi, S, Tariyal, R, Cooper, DN, Ball, EV, Stenson, PD, Barnes, B, Bauer, M, Cheetham, RK, Cox, T, Eberle, M, Kahn, S, Murray, L, Peden, J, Shaw, R, Ye, K, Batzer, MA, Konkel, MK, Walker, JA, MacArthur, DG, Lek, M, Herwig, R, Shriver, MD, Bustamante, CD, Byrnes, JK, De la Vega, FM, Gravel, S, Kenny, EE, Kidd, JM, Lacroute, P, Maples, BK, Moreno-Estrada, A, Zakharia, F, Halperin, E, Baran, Y, Craig, DW, Christoforides, A, Homer, N, Izatt, T, Kurdoglu, AA, Sinari, SA, Squire, K, Xiao, C, Sebat, J, Bafna, V, Burchard, EG, Hernandez, RD, Gignoux, CR, Haussler, D, Katzman, SJ, Kent, WJ, Howie, B, Ruiz-Linares, A, Dermitzakis, ET, Lappalainen, T, Devine, SE, Maroo, A, Tallon, LJ, Rosenfeld, JA, Michelson, LP, Kang, HM, Anderson, P, Angius, A, Bigham, A, Blackwell, T, Busonero, F, Cucca, F, Fuchsberger, C, Jones, C, Jun, G, Lyons, R, Maschio, A, Porcu, E, Reinier, F, Sanna, S, Schlessinger, D, Sidore, C, Tan, A, Trost, MK, Awadalla, P, Hodgkinson, A, Lunter, G, Marchini, JL, Myers, S, Churchhouse, C, Delaneau, O, Gupta-Hinch, A, Iqbal, Z, Mathieson, I, Rimmer, A, Xifara, DK, Oleksyk, TK, Fu, Y, Xiong, M, Jorde, L, Witherspoon, D, Xing, J, Browning, BL, Alkan, C, Hajirasouliha, I, Hormozdiari, F, Ko, A, Sudmant, PH, Chen, K, Chinwalla, A, Ding, L, Dooling, D, Koboldt, DC, McLellan, MD, Wallis, JW, Wendl, MC, Zhang, Q, Tyler-Smith, C, Albers, CA, Ayub, Q, Chen, Y, Coffey, AJ, Colonna, V, Huang, N, Jostins, L, Li, H, Scally, A, Walter, K, Xue, Y, Zhang, Y, Gerstein, MB, Abyzov, A, Balasubramanian, S, Chen, J, Clarke, D, Habegger, L, Harmanci, AO, Jin, M, Khurana, E, Mu, XJ, Sisu, C, Degenhardt, J, Stuetz, AM, Church, D, Michaelson, JJ, Ben, B, Lindsay, SJ, Ning, Z, Frankish, A, Harrow, J, Fowler, G, Hale, W, Kalra, D, Barker, J, Kelman, G, Kulesha, E, Radhakrishnan, R, Roa, A, Smirnov, D, Streeter, I, Toneva, I, Vaughan, B, Ananiev, V, Belaia, Z, Beloslyudtsev, D, Bouk, N, Chen, C, Cohen, R, Cook, C, Garner, J, Hefferon, T, Kimelman, M, Liu, C, Lopez, J, Meric, P, O'Sullivan, C, Ostapchuk, Y, Phan, L, Ponomarov, S, Schneider, V, Shekhtman, E, Sirotkin, K, Slotta, D, Zhang, H, Barnes, KC, Beiswanger, C, Cai, H, Cao, H, Gharani, N, Henn, B, Jones, D, Kaye, JS, Kent, A, Kerasidou, A, Mathias, R, Ossorio, PN, Parker, M, Reich, D, Rotimi, CN, Royal, CD, Sandoval, K, Su, Y, Tian, Z, Tishkoff, S, Toji, LH, Via, M, Yang, H, Yang, L, Zhu, J, Bodmer, W, Bedoya, G, Ming, CZ, Yang, G, You, CJ, Peltonen, L, Garcia-Montero, A, Orfao, A, Dutil, J, Martinez-Cruzado, JC, Brooks, LD, Felsenfeld, AL, McEwen, JE, Clemm, NC, Duncanson, A, Dunn, M, Guyer, MS, Peterson, JL, 1000 Genomes Project Consortium, Dermitzakis, Emmanouil, Universitat de Barcelona, Massachusetts Institute of Technology. Department of Biology, Altshuler, David, and Lander, Eric S.

Subjects
Natural selection, LOCI, Genome-wide association study, Evolutionary biology, Continental Population Groups/genetics, Human genetic variation, VARIANTS, Genoma humà, Binding Sites/genetics, 0302 clinical medicine, RARE, Sequence Deletion/genetics, WIDE ASSOCIATION, ddc:576.5, Copy-number variation, MUTATION, Exome sequencing, transcription factor, Conserved Sequence, Human evolution, Sequence Deletion, Genetics, RISK, 0303 health sciences, Multidisciplinary, Continental Population Groups, 1000 Genomes Project Consortium, Genetic analysis, Genomics, Polymorphism, Single Nucleotide/genetics, Research Highlight, 3. Good health, Algorithm, Multidisciplinary Sciences, Genetic Variation/genetics, Map, Science & Technology - Other Topics, Conserved Sequence/genetics, Integrated approach, General Science & Technology, Genetics, Medical, Haplotypes/genetics, Biology, Polymorphism, Single Nucleotide, Evolution, Molecular, 03 medical and health sciences, Genetic variation, Humans, Transcription Factors/metabolism, POPULATION-STRUCTURE, 1000 Genomes Project, Polymorphism, Nucleotide Motifs, Alleles, 030304 developmental biology, COPY NUMBER VARIATION, Science & Technology, Binding Sites, Human genome, Genome, Human, Racial Groups, Genetic Variation, Genetics, Population, Haplotypes, Genome, Human/genetics, untranslated RNA, 030217 neurology & neurosurgery, Transcription Factors, Genome-Wide Association Study
Abstract

By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations., National Institutes of Health (U.S.) (Grant RC2HL102925), National Institutes of Health (U.S.) (Grant U54HG3067)

Published
2012

29. The APOE E4 Allele Is Associated with Faster Rates of Neuroretinal Thinning in a Prospective Cohort Study of Suspect and Early Glaucoma

Author

Sean Mullany, MD, Henry Marshall, MD, Santiago Diaz-Torres, Ella C. Berry, MChD, Joshua M. Schmidt, PhD, Daniel Thomson, PhD, Ayub Qassim, MBBS, PhD, Minh-Son To, MD, PhD, David Dimasi, PhD, Abraham Kuot, PhD, Lachlan S.W. Knight, Georgina Hollitt, MBBS, Antonia Kolovos, MD, Angela Schulz, PhD, Stewart Lake, MBChB, Richard A. Mills, MBBS, PhD, Ashish Agar, MBBS, PhD, Anna Galanopoulos, MBBS, John Landers, MBBS, PhD, Paul Mitchell, MBBS, PhD, Paul R. Healey, MBBS, PhD, Stuart L. Graham, MBBS, PhD, Alex W. Hewitt, MBBS, PhD, Emmanuelle Souzeau, PhD, Mark M. Hassall, MBBS, DPhil, Sonja Klebe, MBBS, PhD, Stuart MacGregor, PhD, Puya Gharahkhani, PhD, Robert J. Casson, MBBS, DPhil, Owen M. Siggs, MD, DPhil, and Jamie E. Craig, MBBS, DPhil

Subjects
Apolipoprotein E, APOE, Dementia, Retinal Neurodegeneration, POAG, Ophthalmology, RE1-994
Abstract

Purpose: To investigate the association between the apolipoprotein E (APOE) E4 dementia-risk allele and prospective longitudinal retinal thinning in a cohort study of suspect and early manifest glaucoma. Design: Retrospective analysis of prospective cohort data. Participants: This study included all available eyes from participants recruited to the Progression Risk of Glaucoma: Relevant SNPs [single nucleotide polymorphisms] with Significant Association (PROGRESSA) study with genotyping data from which APOE genotypes could be determined. Methods: Apolipoprotein E alleles and genotypes were determined in PROGRESSA, and their distributions were compared with an age-matched and ancestrally matched normative cohort, the Blue Mountains Eye Study. Structural parameters of neuroretinal atrophy measured using spectral-domain OCT were compared within the PROGRESSA cohort on the basis of APOE E4 allele status. Main Outcome Measures: Longitudinal rates of thinning in the macular ganglion cell–inner plexiform layer (mGCIPL) complex and the peripapillary retinal nerve fiber layer (pRNFL). Results: Rates of mGCIPL complex thinning were faster in participants harboring ≥1 copies of the APOE E4 allele (β = –0.13 μm/year; P ≤0.001). This finding was strongest in eyes affected by normal-tension glaucoma (NTG; β = –0.20 μm/year; P = 0.003). Apolipoprotein E E4 allele carriers were also more likely to be lost to follow-up (P = 0.01) and to demonstrate a thinner average mGCIPL complex (70.9 μm vs. 71.9 μm; P = 0.011) and pRNFL (77.6 μm vs. 79.2 μm; P = 0.045) after a minimum of 3 years of monitoring. Conclusions: The APOE E4 allele was associated with faster rates of mCGIPL complex thinning, particularly in eyes with NTG. These results suggest that the APOE E4 allele may be a risk factor for retinal ganglion cell degeneration in glaucoma.

Published
2022
Full Text
View/download PDF

30. Toward Male Individualization with Rapidly Mutating Y-Chromosomal Short Tandem Repeats

Author

Ballantyne, K. (Kaye), Ralf, A. (Arwin), Aboukhalid, R. (Rachid), Achakzai, N.M. (Niaz), Anjos, T. (Tania), Ayub, Q. (Qasim), Balažic, J. (Jože), Ballantyne, J. (Jack), Ballard, D.J. (David), Berger, B. (Burkhard), Bobillo, C. (Cecilia), Bouabdellah, M. (Mehdi), Burri, H. (Helen), Capal, T. (Tomas), Caratti, S. (Stefano), Cárdenas, J. (Jorge), Cartault, F. (François), Carvalho, E.F. (Elizeu), Carvalho, M. (Margarete) de, Cheng, B. (Baowen), Coble, M.D. (Michael), Comas, D. (David), Corach, D. (Daniel), D'Amato, M. (Mauro), Davison, S. (Sean), Knijff, P. (Peter) de, Ungria, M.C.A. (Maria Corazon) de, Decorte, R. (Ronny), Dobosz, T. (Tadeusz), Dupuy, B.M. (Berit), Elmrghni, S. (Samir), Gliwiński, M. (Mateusz), Gomes, S.C. (Sara), Grol, L. (Laurens), Haas, C. (Cordula), Hanson, E. (Erin), Henke, J. (Jürgen), Henke, L. (Lotte), Herrera-Rodríguez, F. (Fabiola), Hill, C.R. (Carolyn), Holmlund, G. (Gunilla), Honda, K. (Katsuya), Immel, U.-D. (Uta-Dorothee), Inokuchi, S. (Shota), Jobling, R., Kaddura, M. (Mahmoud), Kim, J.S. (Jong), Kim, S.H. (Soon), Kim, W. (Wook), King, T.E. (Turi), Klausriegler, E. (Eva), Kling, D. (Daniel), Kovačević, L. (Lejla), Kovatsi, L. (Leda), Krajewski, P. (Paweł), Kravchenko, S. (Sergey), Larmuseau, M.H.D. (Maarten), Lee, E.Y. (Eun Young), Lessig, R. (Rüdiger), Livshits, L.A. (Ludmila), Marjanović, D. (Damir), Minarik, M. (Marek), Mizuno, N. (Natsuko), Moreira, H. (Helena), Morling, N. (Niels), Mukherjee, M. (Meeta), Munier, P. (Patrick), Nagaraju, J. (Javaregowda), Neuhuber, F. (Franz), Nie, S. (Shengjie), Nilasitsataporn, P. (Premlaphat), Nishi, T. (Takeki), Oh, H.H. (Hye), Olofsson, S. (Sylvia), Onofri, V. (Valerio), Palo, J. (Jukka), Pamjav, H. (Horolma), Parson, W. (Walther), Petlach, M. (Michal), Phillips, C. (Christopher), Ploski, R. (Rafal), Prasad, S.P.R. (Samayamantri P.), Primorac, D. (Dragan), Purnomo, G.A. (Gludhug), Purps, J. (Josephine), Rangel-Villalobos, H. (Hector), Reogonekbała, K. (Krzysztof), Rerkamnuaychoke, B. (Budsaba), Gonzalez, D.R. (Danel Rey), Robino, C. (Carlo), Roewer, L. (Lutz), Rosa, A. (Anna) de, Sajantila, A. (Antti), Sala, A. (Andrea), Salvador, J.M. (Jazelyn), Sanz, P. (Paula), Schmitt, C. (Christian), Sharma, A.K. (Anisha K.), Silva, D.A. (Dayse), Shin, K.-J. (Kyoung-Jin), Sijen, T. (Titia), Sirker, M. (Miriam), Siváková, D. (Daniela), Škaro, V. (Vedrana), Solano-Matamoros, C. (Carlos), Souto, L. (L.), Stenzl, V. (Vlastimil), Sudoyo, H. (Herawati), Syndercombe-Court, D. (Denise), Tagliabracci, A. (Adriano), Taylor, D. (Duncan), Tillmar, A. (Andreas), Tsybovsky, I.S. (Iosif), Tyler-Smith, C. (Chris), Gaag, K. (Kristiaan) van der, Vanek, D. (Daniel), Völgyi, A. (Antónia), Ward, D. (Denise), Willemse, P. (Patricia), Yap, E.P.H. (Eric), Yong, Z-Y. (Ze-Yie), Pajnič, I.Z. (Irena Zupanič), Kayser, M.H. (Manfred), Ballantyne, K. (Kaye), Ralf, A. (Arwin), Aboukhalid, R. (Rachid), Achakzai, N.M. (Niaz), Anjos, T. (Tania), Ayub, Q. (Qasim), Balažic, J. (Jože), Ballantyne, J. (Jack), Ballard, D.J. (David), Berger, B. (Burkhard), Bobillo, C. (Cecilia), Bouabdellah, M. (Mehdi), Burri, H. (Helen), Capal, T. (Tomas), Caratti, S. (Stefano), Cárdenas, J. (Jorge), Cartault, F. (François), Carvalho, E.F. (Elizeu), Carvalho, M. (Margarete) de, Cheng, B. (Baowen), Coble, M.D. (Michael), Comas, D. (David), Corach, D. (Daniel), D'Amato, M. (Mauro), Davison, S. (Sean), Knijff, P. (Peter) de, Ungria, M.C.A. (Maria Corazon) de, Decorte, R. (Ronny), Dobosz, T. (Tadeusz), Dupuy, B.M. (Berit), Elmrghni, S. (Samir), Gliwiński, M. (Mateusz), Gomes, S.C. (Sara), Grol, L. (Laurens), Haas, C. (Cordula), Hanson, E. (Erin), Henke, J. (Jürgen), Henke, L. (Lotte), Herrera-Rodríguez, F. (Fabiola), Hill, C.R. (Carolyn), Holmlund, G. (Gunilla), Honda, K. (Katsuya), Immel, U.-D. (Uta-Dorothee), Inokuchi, S. (Shota), Jobling, R., Kaddura, M. (Mahmoud), Kim, J.S. (Jong), Kim, S.H. (Soon), Kim, W. (Wook), King, T.E. (Turi), Klausriegler, E. (Eva), Kling, D. (Daniel), Kovačević, L. (Lejla), Kovatsi, L. (Leda), Krajewski, P. (Paweł), Kravchenko, S. (Sergey), Larmuseau, M.H.D. (Maarten), Lee, E.Y. (Eun Young), Lessig, R. (Rüdiger), Livshits, L.A. (Ludmila), Marjanović, D. (Damir), Minarik, M. (Marek), Mizuno, N. (Natsuko), Moreira, H. (Helena), Morling, N. (Niels), Mukherjee, M. (Meeta), Munier, P. (Patrick), Nagaraju, J. (Javaregowda), Neuhuber, F. (Franz), Nie, S. (Shengjie), Nilasitsataporn, P. (Premlaphat), Nishi, T. (Takeki), Oh, H.H. (Hye), Olofsson, S. (Sylvia), Onofri, V. (Valerio), Palo, J. (Jukka), Pamjav, H. (Horolma), Parson, W. (Walther), Petlach, M. (Michal), Phillips, C. (Christopher), Ploski, R. (Rafal), Prasad, S.P.R. (Samayamantri P.), Primorac, D. (Dragan), Purnomo, G.A. (Gludhug), Purps, J. (Josephine), Rangel-Villalobos, H. (Hector), Reogonekbała, K. (Krzysztof), Rerkamnuaychoke, B. (Budsaba), Gonzalez, D.R. (Danel Rey), Robino, C. (Carlo), Roewer, L. (Lutz), Rosa, A. (Anna) de, Sajantila, A. (Antti), Sala, A. (Andrea), Salvador, J.M. (Jazelyn), Sanz, P. (Paula), Schmitt, C. (Christian), Sharma, A.K. (Anisha K.), Silva, D.A. (Dayse), Shin, K.-J. (Kyoung-Jin), Sijen, T. (Titia), Sirker, M. (Miriam), Siváková, D. (Daniela), Škaro, V. (Vedrana), Solano-Matamoros, C. (Carlos), Souto, L. (L.), Stenzl, V. (Vlastimil), Sudoyo, H. (Herawati), Syndercombe-Court, D. (Denise), Tagliabracci, A. (Adriano), Taylor, D. (Duncan), Tillmar, A. (Andreas), Tsybovsky, I.S. (Iosif), Tyler-Smith, C. (Chris), Gaag, K. (Kristiaan) van der, Vanek, D. (Daniel), Völgyi, A. (Antónia), Ward, D. (Denise), Willemse, P. (Patricia), Yap, E.P.H. (Eric), Yong, Z-Y. (Ze-Yie), Pajnič, I.Z. (Irena Zupanič), and Kayser, M.H. (Manfred)

Abstract

Relevant for various areas of human genetics, Y-chromosomal short tandem repeats (Y-STRs) are commonly used for testing close paternal relationships among individuals and populations, and for male lineage identification. However, even the widely used 17-loci Yfiler set cannot resolve individuals and populations completely. Here, 52 centers generated quality-controlled data of 13 rapidly mutating (RM) Y-STRs in 14,644 related and unrelated males from 111 worldwide populations. Strikingly, >99% of the 12,272 unrelated males were completely individualized. Haplotype diversity was extremely high (global: 0.9999985, regional: 0.99836-0.9999988). Haplotype sharing between populations was almost absent except for six (0.05%) of the 12,156 haplotypes. Haplotype sharing within populations was generally rare (0.8% nonunique haplotypes), significantly lower in urban (0.9%) than rural (2.1%) and highest in endogamous groups (14.3%). Analysis

Published
2014
Full Text
View/download PDF

31. Human genomic regions with exceptionally high levels of population differentiation identified from 911 whole-genome sequences

Author

Colonna, V., Ayub, Q., Chen, Y, Pagani, L., Luisi, P., Pybus, M., Garrison, E., Xue, Y., Tyler-Smith, C., Abecasis, G.R., Auton, A., Brooks, L.D., DePristo, M.A., Durbin, R.M., Handsaker, R.E., Kang, H.M., Marth, G.T., McVean, G.A., Colonna, V., Ayub, Q., Chen, Y, Pagani, L., Luisi, P., Pybus, M., Garrison, E., Xue, Y., Tyler-Smith, C., Abecasis, G.R., Auton, A., Brooks, L.D., DePristo, M.A., Durbin, R.M., Handsaker, R.E., Kang, H.M., Marth, G.T., and McVean, G.A.

Abstract

Item does not contain fulltext

Published
2014

32. A global analysis of Y-chromosomal haplotype diversity for 23 STR loci

Author

Purps, J, Siegert, S, Willuweit, S, Nagy, M, Alves, C, Salazar, R, Angustia, Sm, Santos, Lh, Anslinger, K, Bayer, B, Ayub, Q, Wei, W, Xue, Y, Tyler Smith, C, Bafalluy, Mb, Martínez Jarreta, B, Balitzki, B, Tschumi, S, Ballard, D, Court, D, Barrantes, X, Bäßler, G, Wiest, T, Berger, B, Niederstätter, H, Parson, W, Davis, C, Budowle, B, Burri, H, Borer, U, Koller, C, Carvalho, Ef, Domingues, Pm, Chamoun, Wt, Coble, Md, Hill, Cr, Corach, D, Caputo, M, D'Amato, Me, Davison, S, Decorte, R, Larmuseau, Mh, Ottoni, C, Rickards, O, Jonkisz, A, Frank, We, Furac, I, Gehrig, C, Castella, V, Grskovic, B, Haas, C, Wobst, J, Hadzic, G, Drobnic, K, Immel, Ud, Lessig, R, Jakovski, Z, Ilievska, T, Klann, Ae, García, Cc, De Knijff, P, Kondili, A, Miniati, P, Vouropoulou, M, Kovacevic, L, Marjanovic, D, Lindner, I, Mansour, I, Al Azem, M, Andari, Ae, Marino, M, Furfuro, S, Locarno, L, Martín, P, Luque, Gm, Alonso, A, Miranda, L, Moreira, H, Neto, R, Nogueira, Tl, Morling, N, Onofri, V, Tagliabracci, A, Pamjav, H, Pelotti, S, Abreu Glowacka, M, Cárdenas, J, Rey Gonzalez, D, Salas, A, Brisighelli, Francesca, Capelli, C. Et Al, Brisighelli, Francesca (ORCID:0000-0001-5469-4413), Purps, J, Siegert, S, Willuweit, S, Nagy, M, Alves, C, Salazar, R, Angustia, Sm, Santos, Lh, Anslinger, K, Bayer, B, Ayub, Q, Wei, W, Xue, Y, Tyler Smith, C, Bafalluy, Mb, Martínez Jarreta, B, Balitzki, B, Tschumi, S, Ballard, D, Court, D, Barrantes, X, Bäßler, G, Wiest, T, Berger, B, Niederstätter, H, Parson, W, Davis, C, Budowle, B, Burri, H, Borer, U, Koller, C, Carvalho, Ef, Domingues, Pm, Chamoun, Wt, Coble, Md, Hill, Cr, Corach, D, Caputo, M, D'Amato, Me, Davison, S, Decorte, R, Larmuseau, Mh, Ottoni, C, Rickards, O, Jonkisz, A, Frank, We, Furac, I, Gehrig, C, Castella, V, Grskovic, B, Haas, C, Wobst, J, Hadzic, G, Drobnic, K, Immel, Ud, Lessig, R, Jakovski, Z, Ilievska, T, Klann, Ae, García, Cc, De Knijff, P, Kondili, A, Miniati, P, Vouropoulou, M, Kovacevic, L, Marjanovic, D, Lindner, I, Mansour, I, Al Azem, M, Andari, Ae, Marino, M, Furfuro, S, Locarno, L, Martín, P, Luque, Gm, Alonso, A, Miranda, L, Moreira, H, Neto, R, Nogueira, Tl, Morling, N, Onofri, V, Tagliabracci, A, Pamjav, H, Pelotti, S, Abreu Glowacka, M, Cárdenas, J, Rey Gonzalez, D, Salas, A, Brisighelli, Francesca, Capelli, C. Et Al, and Brisighelli, Francesca (ORCID:0000-0001-5469-4413)

Abstract

In a worldwide collaborative effort, 19,630 Y-chromosomes were sampled from 129 different populations in 51 countries. These chromosomes were typed for 23 short-tandem repeat (STR) loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385ab, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, GATAH4, DYS481, DYS533, DYS549, DYS570, DYS576, and DYS643) and using the PowerPlex Y23 System (PPY23, Promega Corporation, Madison, WI). Locus-specific allelic spectra of these markers were determined and a consistently high level of allelic diversity was observed. A considerable number of null, duplicate and off-ladder alleles were revealed. Standard single-locus and haplotype-based parameters were calculated and compared between subsets of Y-STR markers established for forensic casework. The PPY23 marker set provides substantially stronger discriminatory power than other available kits but at the same time reveals the same general patterns of population structure as other marker sets. A strong correlation was observed between the number of Y-STRs included in a marker set and some of the forensic parameters under study. Interestingly a weak but consistent trend toward smaller genetic distances resulting from larger numbers of markers became apparent.

Published
2014

33. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries

Author

Puya Gharahkhani, Eric Jorgenson, Pirro Hysi, Anthony P. Khawaja, Sarah Pendergrass, Xikun Han, Jue Sheng Ong, Alex W. Hewitt, Ayellet V. Segrè, John M. Rouhana, Andrew R. Hamel, Robert P. Igo, Helene Choquet, Ayub Qassim, Navya S. Josyula, Jessica N. Cooke Bailey, Pieter W. M. Bonnemaijer, Adriana Iglesias, Owen M. Siggs, Terri L. Young, Veronique Vitart, Alberta A. H. J. Thiadens, Juha Karjalainen, Steffen Uebe, Ronald B. Melles, K. Saidas Nair, Robert Luben, Mark Simcoe, Nishani Amersinghe, Angela J. Cree, Rene Hohn, Alicia Poplawski, Li Jia Chen, Shi-Song Rong, Tin Aung, Eranga Nishanthie Vithana, NEIGHBORHOOD consortium, ANZRAG consortium, Biobank Japan project, FinnGen study, UK Biobank Eye and Vision Consortium, GIGA study group, and Me Research Team, Gen Tamiya, Yukihiro Shiga, Masayuki Yamamoto, Toru Nakazawa, Hannah Currant, Ewan Birney, Xin Wang, Adam Auton, Michelle K. Lupton, Nicholas G. Martin, Adeyinka Ashaye, Olusola Olawoye, Susan E. Williams, Stephen Akafo, Michele Ramsay, Kazuki Hashimoto, Yoichiro Kamatani, Masato Akiyama, Yukihide Momozawa, Paul J. Foster, Peng T. Khaw, James E. Morgan, Nicholas G. Strouthidis, Peter Kraft, Jae H. Kang, Chi Pui Pang, Francesca Pasutto, Paul Mitchell, Andrew J. Lotery, Aarno Palotie, Cornelia van Duijn, Jonathan L. Haines, Chris Hammond, Louis R. Pasquale, Caroline C. W. Klaver, Michael Hauser, Chiea Chuen Khor, David A. Mackey, Michiaki Kubo, Ching-Yu Cheng, Jamie E. Craig, Stuart MacGregor, and Janey L. Wiggs

Subjects
Science
Abstract

Primary open-angle glaucoma (POAG) is highly heritable, yet not well understood from a genetic perspective. Here, the authors perform a meta-analysis of genome-wide association studies in 34,179 POAG cases, identifying 44 previously unreported risk loci and mapping effects across multiple ethnicities.

Published
2021
Full Text
View/download PDF

34. Genetic Risk of Cardiovascular Disease Is Associated with Macular Ganglion Cell–Inner Plexiform Layer Thinning in an Early Glaucoma Cohort

Author

Henry Marshall, MBBS, Sean Mullany, MD, Xikun Han, PhD, Ella C. Berry, MChD, Mark M. Hassall, DPhil, Ayub Qassim, PhD, Thi Nguyen, BMSc(Optom), Georgina L. Hollitt, MBBS, Lachlan S.W. Knight, MOrth, Bronwyn Ridge, BA, Joshua Schmidt, PhD, Caroline Crowley, BDS, Angela Schulz, PhD, Richard A. Mills, PhD, Ashish Agar, PhD, Anna Galanopoulos, MBBS, John Landers, PhD, Paul R. Healey, PhD, Stuart L. Graham, PhD, Alex W. Hewitt, PhD, Robert J. Casson, DPhil, Stuart MacGregor, PhD, Owen M. Siggs, DPhil, and Jamie E. Craig, DPhil

Subjects
Cardiovascular disease, Glaucoma, Macular GCIPL, Paracentral visual field, Retinal thinning, Ophthalmology, RE1-994
Abstract

Purpose: To evaluate the association between genetic risk for cardiovascular disease and retinal thinning in early glaucoma. Design: Prospective, observational genetic association study Participants: Multicohort study combining a cohort of patients with suspect and early manifest primary open-angle glaucoma (POAG), a cohort of patients with perimetric POAG, and an external normative control cohort. Methods: A cardiovascular disease genetic risk score was calculated for 828 participants from the Progression Risk of Glaucoma: Relevant SNPs [single nucleotide polymorphisms] with Significant Association (PROGRESSA) study. Participants were characterized as showing either predominantly macular ganglion cell–inner plexiform layer (GCIPL), predominantly peripapillary retinal nerve fiber layer (pRNFL) or equivalent macular GCIPL and pRNFL spectral-domain OCT thinning. The cardiovascular disease genetic risk scores for these groups were compared to an internal reference group of stable suspected glaucoma and of an external normative population. Replication was undertaken by comparing the phenotypes of participants from the Australia New Zealand Registry of Advanced Glaucoma (ANZRAG) with the normative control group. Main Outcome Measures: Spectral-domain OCT and Humphrey Visual Field (HVF) change. Results: After accounting for age, sex, and intraocular pressure (IOP), participants with predominantly macular GCIPL thinning showed a higher cardiovascular disease genetic risk score than reference participants (odds ratio [OR], 1.76/standard deviation [SD]; 95% confidence interval [CI], 1.18–2.62; P = 0.005) and than normative participants (OR, 1.32/SD; 95% CI, 1.12–1.54; P = 0.002). This finding was replicated by comparing ANZRAG participants with predominantly macular GCIPL change with the normative population (OR, 1.39/SD; 95% CI, 1.05–1.83; P = 0.022). Review of HVF data identified that participants with paracentral visual field defects also demonstrated a higher cardiovascular disease genetic risk score than reference participants (OR, 1.85/SD; 95% CI, 1.16–2.97; P = 0.010). Participants with predominantly macular GCIPL thinning exhibited a higher vertical cup-to-disc ratio genetic risk score (OR, 1.48/SD; 95% CI, 1.24–1.76; P < 0.001), but an IOP genetic risk score (OR, 1.12/SD; 95% CI, 0.95–1.33; P = 0.179) comparable with that of the normative population. Conclusions: This study highlighted the relationship between cardiovascular disease and retinal thinning in suspect and manifest glaucoma cases.

Published
2022
Full Text
View/download PDF

35. FOXP2 Targets Show Evidence of Positive Selection in European Populations

Author

Ayub, Q., Yngvadottir, B., Chen, Y., Xue, Y.L., Hu, M., Vernes, S.C., Fisher, S.E., Tyler-Smith, C., Ayub, Q., Yngvadottir, B., Chen, Y., Xue, Y.L., Hu, M., Vernes, S.C., Fisher, S.E., and Tyler-Smith, C.

Abstract

Contains fulltext : 116993.pdf (publisher's version ) (Closed access)

Published
2013

36. Exploration of signals of positive selection derived from genotype-based human genome scans using re-sequencing data

Author

Hu, M., Ayub, Q., Guerra-Assunção, J. A., Long, Q., Ning, Z., Huang, N., Romero, I. G., Mamanova, L., Akan, Pelin, Liu, X., Coffey, A. J., Turner, D. J., Swerdlow, H., Burton, J., Quail, M. A., Conrad, D. F., Enright, A. J., Tyler-Smith, C., Xue, Y., Hu, M., Ayub, Q., Guerra-Assunção, J. A., Long, Q., Ning, Z., Huang, N., Romero, I. G., Mamanova, L., Akan, Pelin, Liu, X., Coffey, A. J., Turner, D. J., Swerdlow, H., Burton, J., Quail, M. A., Conrad, D. F., Enright, A. J., Tyler-Smith, C., and Xue, Y.

Abstract

We have investigated whether regions of the genome showing signs of positive selection in scans based on haplotype structure also show evidence of positive selection when sequence-based tests are applied, whether the target of selection can be localized more precisely, and whether such extra evidence can lead to increased biological insights. We used two tools: simulations under neutrality or selection, and experimental investigation of two regions identified by the HapMap2 project as putatively selected in human populations. Simulations suggested that neutral and selected regions should be readily distinguished and that it should be possible to localize the selected variant to within 40 kb at least half of the time. Re-sequencing of two ∼300 kb regions (chr4:158Mb and chr10:22Mb) lacking known targets of selection in HapMap CHB individuals provided strong evidence for positive selection within each and suggested the micro-RNA gene hsa-miR-548c as the best candidate target in one region, and changes in regulation of the sperm protein gene SPAG6 in the other., QC 20131018

Published
2012
Full Text
View/download PDF

37. A systematic survey of loss-of-function variants in human protein-coding genes

Author

MacArthur, D.G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J.K., Montgomery, S.B., Albers, C.A., Zhang, Z.D., Conrad, D.F., Lunter, G., Zheng, H., Ayub, Q., DePristo, M.A., Banks, E., Hu, M., Handsaker, R.E., Rosenfeld, J.A., Fromer, M., Jin, M., Mu, X.J., Khurana, E., Ye, K., Kay, M., Saunders, G.I., Suner, M.M., Hunt, T., Barnes, I.H., Amid, C., Carvalho-Silva, D.R., Bignell, A.H., Snow, C., Yngvadottir, B., Bumpstead, S., Cooper, D.N., Xue, Y., Romero, I.G., Genomes Project, C., Wang, J, Li, Y., Gibbs, R.A., McCarroll, S.A., Dermitzakis, E.T., Pritchard, J.K., Barrett, J.C., Harrow, J., Hurles, M.E., Gerstein, M.B., Tyler-Smith, C., MacArthur, D.G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J.K., Montgomery, S.B., Albers, C.A., Zhang, Z.D., Conrad, D.F., Lunter, G., Zheng, H., Ayub, Q., DePristo, M.A., Banks, E., Hu, M., Handsaker, R.E., Rosenfeld, J.A., Fromer, M., Jin, M., Mu, X.J., Khurana, E., Ye, K., Kay, M., Saunders, G.I., Suner, M.M., Hunt, T., Barnes, I.H., Amid, C., Carvalho-Silva, D.R., Bignell, A.H., Snow, C., Yngvadottir, B., Bumpstead, S., Cooper, D.N., Xue, Y., Romero, I.G., Genomes Project, C., Wang, J, Li, Y., Gibbs, R.A., McCarroll, S.A., Dermitzakis, E.T., Pritchard, J.K., Barrett, J.C., Harrow, J., Hurles, M.E., Gerstein, M.B., and Tyler-Smith, C.

Abstract

Item does not contain fulltext, Genome-sequencing studies indicate that all humans carry many genetic variants predicted to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy in the human genome. Here we apply stringent filters to 2951 putative LoF variants obtained from 185 human genomes to determine their true prevalence and properties. We estimate that human genomes typically contain ~100 genuine LoF variants with ~20 genes completely inactivated. We identify rare and likely deleterious LoF alleles, including 26 known and 21 predicted severe disease-causing variants, as well as common LoF variants in nonessential genes. We describe functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies.

Published
2012

38. Exploration of signals of positive selection derived from genotype-based human genome scans using re-sequencing data

Author

Hu, M, Ayub, Q, Guerra-Assuncao, JA, Long, Q, Ning, Z, Huang, N, Romero, IG, Mamanova, L, Akan, P, Liu, X, Coffey, AJ, Turner, DJ, Swerdlow, H, Burton, J, Quail, MA, Conrad, DF, Enright, AJ, Tyler-Smith, C, Xue, Y, Hu, M, Ayub, Q, Guerra-Assuncao, JA, Long, Q, Ning, Z, Huang, N, Romero, IG, Mamanova, L, Akan, P, Liu, X, Coffey, AJ, Turner, DJ, Swerdlow, H, Burton, J, Quail, MA, Conrad, DF, Enright, AJ, Tyler-Smith, C, and Xue, Y

Abstract

We have investigated whether regions of the genome showing signs of positive selection in scans based on haplotype structure also show evidence of positive selection when sequence-based tests are applied, whether the target of selection can be localized more precisely, and whether such extra evidence can lead to increased biological insights. We used two tools: simulations under neutrality or selection, and experimental investigation of two regions identified by the HapMap2 project as putatively selected in human populations. Simulations suggested that neutral and selected regions should be readily distinguished and that it should be possible to localize the selected variant to within 40 kb at least half of the time. Re-sequencing of two ~300 kb regions (chr4:158Mb and chr10:22Mb) lacking known targets of selection in HapMap CHB individuals provided strong evidence for positive selection within each and suggested the micro-RNA gene hsa-miR-548c as the best candidate target in one region, and changes in regulation of the sperm protein gene SPAG6 in the other.

Published
2012

39. Contrasting signals of positive selection in genes involved in human skin-color variation from tests based on SNP scans and resequencing

Author

Gruijter, J.M. (Johanna) de, Lao Grueso, O. (Oscar), Vermeulen, M. (Mark), Xue, Y. (Yali), Woodwark, C. (Cara), Gillson, C.J. (Christopher), Coffey, A.J. (Alison), Ayub, Q. (Qasim), Mehdi, S.Q. (Qasim), Kayser, M.H. (Manfred), Tyler-Smith, C. (Chris), Gruijter, J.M. (Johanna) de, Lao Grueso, O. (Oscar), Vermeulen, M. (Mark), Xue, Y. (Yali), Woodwark, C. (Cara), Gillson, C.J. (Christopher), Coffey, A.J. (Alison), Ayub, Q. (Qasim), Mehdi, S.Q. (Qasim), Kayser, M.H. (Manfred), and Tyler-Smith, C. (Chris)

Abstract

Background: Numerous genome-wide scans conducted by genotyping previously ascertained single-nucleotide polymorphisms (SNPs) have provided candidate signatures for positive selection in various regions of the human genome, including in genes involved in pigmentation traits. However, it is unclear how well the signatures discovered by such haplotype-based test statistics can be reproduced in tests based on full resequencing data. Four genes (oculocutaneous albinism II (OCA2), tyrosinase-related protein 1 (TYRP1), dopachrome tautomerase (DCT), and KIT ligand (KITLG)) implicated in human skin-color variation, have shown evidence for positive selection in Europeans and East Asians in previous SNP-scan data. In the current study, we resequenced 4.7 to 6.7 kb of DNA from each of these genes in Africans, Europeans, East Asians, and South Asians.Results: Applying all commonly used neutrality-test statistics for allele frequency distribution to the newly generated sequence data provided conflicting results regarding evidence for positive selection. Previous haplotype-based findings could not be clearly confirmed. Although some tests were marginally significant for some populations and genes, none of them were significant after multiple-testing correction. Combined P values for each gene-population pair did not improve these results. Application of Approximate Bayesian Computation Markov chain Monte Carlo based to these sequence data using a simple forward simulator revealed broad posterior distributions of the selective parameters for all four genes, providing no support for positive selection. However, when we applied this approach to published sequence data on SLC45A2, another human pigmentation candidate gene, we could readily confirm evidence for positive selection, as previously detected with sequence-based and some haplotype-based tests.Conclusions: Overall, our data indicate that even genes that are strong biological candidates for positive selection and show reproduc

Published
2011
Full Text
View/download PDF

41. A worldwide survey of human male demographic history based on Y-SNP and Y-STR data from the HGDP-CEPH populations

Author

Shi, W. (Wentao), Ayub, Q. (Qasim), Vermeulen, M. (Mark), Shao, R.G. (Rong Guang), Zuniga, S.B. (Sofia), Gaag, K. (Kristiaan) van der, Knijff, P. (Peter) de, Kayser, M.H. (Manfred), Xue, Y. (Yali), Tyler-Smith, C. (Chris), Shi, W. (Wentao), Ayub, Q. (Qasim), Vermeulen, M. (Mark), Shao, R.G. (Rong Guang), Zuniga, S.B. (Sofia), Gaag, K. (Kristiaan) van der, Knijff, P. (Peter) de, Kayser, M.H. (Manfred), Xue, Y. (Yali), and Tyler-Smith, C. (Chris)

Abstract

We have investigated human male demographic history using 590 males from 51 populations in the Human Genome Diversity Project-Centre d'Étude du Polymorphisme Humain worldwide panel, typed with 37 Y-chromosomal Single Nucleotide Polymorphisms and 65 Y-chromosomal Short Tandem Repeats and analyzed with the program Bayesian Analysis of Trees With Internal Node Generation. The general patterns we observe show a gradient from the oldest population time to the most recent common ancestors (TMRCAs) and expansion times together with the largest effective population sizes in Africa, to the youngest times and smallest effective population sizes in the Americas. These parameters are significantly negatively correlated with distance from East Africa, and the patterns are consistent with most other studies of human variation and history. In contrast, growth rate showed a weaker correlation in the opposite direction. Y-lineage diversity and TMRCA also decrease with distance from East Africa, supporting a model of expansion with serial founder events starting from this source. A number of individual populations diverge from these general patterns, including previously documented examples such as recent expansions of the Yoruba in Africa, Basques in Europe, and Yakut in Northern Asia. However, some unexpected demographic histories were also found, including low growth rates in the Hazara and Kalash from Pakistan and recent expansion of the Mozabites in North Africa.

Published
2010
Full Text
View/download PDF

42. A Worldwide Survey of Human Male Demographic History Based on Y-SNP and Y-STR Data from the HGDP-CEPH Populations

Author

Shi, WT, Ayub, Q, Vermeulen, Mark, Shao, RG, Zuniga, S, van der Gaag, K, de Knijff, P, Kayser, Manfred, Xue, YL, Tyler-Smith, C, Shi, WT, Ayub, Q, Vermeulen, Mark, Shao, RG, Zuniga, S, van der Gaag, K, de Knijff, P, Kayser, Manfred, Xue, YL, and Tyler-Smith, C

Abstract

We have investigated human male demographic history using 590 males from 51 populations in the Human Genome Diversity Project - Centre d'Etude du Polymorphisme Humain worldwide panel, typed with 37 Y-chromosomal Single Nucleotide Polymorphisms and 65 Y-chromosomal Short Tandem Repeats and analyzed with the program Bayesian Analysis of Trees With Internal Node Generation. The general patterns we observe show a gradient from the oldest population time to the most recent common ancestors (TMRCAs) and expansion times together with the largest effective population sizes in Africa, to the youngest times and smallest effective population sizes in the Americas. These parameters are significantly negatively correlated with distance from East Africa, and the patterns are consistent with most other studies of human variation and history. In contrast, growth rate showed a weaker correlation in the opposite direction. Y-lineage diversity and TMRCA also decrease with distance from East Africa, supporting a model of expansion with serial founder events starting from this source. A number of individual populations diverge from these general patterns, including previously documented examples such as recent expansions of the Yoruba in Africa, Basques in Europe, and Yakut in Northern Asia. However, some unexpected demographic histories were also found, including low growth rates in the Hazara and Kalash from Pakistan and recent expansion of the Mozabites in North Africa.

Published
2010

50. Innate Activation of IFN-γ—iNOS Axis During Infection With Salmonella Represses the Ability of T Cells to Produce IL-2

Author

Jitender Yadav, Neha Dikshit, Sana Ismaeel, and Ayub Qadri

Subjects
T cell, Salmonella Typhimurium, IL-2, IFN-γ, iNOS, nitric oxide, Immunologic diseases. Allergy, RC581-607
Abstract

Pathogenic Salmonella serovars are a major cause of enteric illness in humans and animals, and produce clinical manifestations ranging from localized gastroenteritis to systemic disease. T cells are a critical component of immunity against this intracellular pathogen. The mechanisms by which Salmonella modulates T-cell—mediated immune responses in order to establish systemic infection are not completely understood. We show that infection of mice with Salmonella enterica serovar Typhimurium (S. Typhimurium) suppresses IL-2 and increases IFN-γ and IL-17 production from T cells activated in vivo or ex vivo through the T cell receptor. Infection with S. Typhimurium brings about recruitment of CD11b+Gr1+ suppressor cells to the spleen. Ex vivo depletion of these cells restores the ability of activated T cells to produce IL-2 and brings secretion of IFN-γ and IL-17 from these cells back to basal levels. The reduction in IL-2 secretion is not seen in IFN-γ−/− and iNOS−/− mice infected with Salmonella. Our findings demonstrate that sustained innate activated IFN-γ production during progression of infection with Salmonella reduces IL-2—secreting capability of T cells through an iNOS-mediated signaling pathway that can adversely affect long term immunity against this pathogen.

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results