CoChat
Sign Up
Cited by 78

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Genetic loci associated with coronary artery disease harbor evidence of selection and antagonistic pleiotropy

Byars, Sean G., Huang, Qin Qin, Gray, Lesley-Ann, Bakshi, Andrew, Ripatti, Samuli, Abraham, Gad, Stearns, Stephen C., Inouye, Michael·2017·PLOS Genetics
DOI 10.1371/journal.pgen.1006328PMC PMC5480811

Published version of a preprint

Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pgen.1006328

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • This pattern extends across multiple disease domains, with stronger correlations observed for early-onset conditions.

    “Such a pattern has been previously described for coronary artery disease, whose risk loci are enriched for lifetime reproductive success38, and here we show that it extends across multiple disease domains, with stronger correlations observed for early-onset conditions.”

    From Genetic trade-offs in fertility and longevity explain the maintenance of disease-associated alleles in humans (2026) · cites this paper as [38]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 91

  1. JM Akey, 2002, Interrogating a high-density SNP map for signatures of natural selection, Genome research, 12, 1805, 10.1101/gr.631202 · DOI
  2. CD Bustamante, 2005, Natural selection on protein-coding genes in the human genome, Nature, 437, 1153, 10.1038/nature04240 · DOI
  3. JL Kelley, 2006, Genomic signatures of positive selection in humans and the limits of outlier approaches, Genome research, 16, 980, 10.1101/gr.5157306 · DOI
  4. PC Sabeti, 2002, Detecting recent positive selection in the human genome from haplotype structure, Nature, 419, 832, 10.1038/nature01140 · DOI · Paper page
  5. MD Shriver, 2004, The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs, Human genomics, 1, 274, 10.1186/1479-7364-1-4-274 · DOI
  6. BF Voight, 2006, A map of recent positive selection in the human genome, PLoS biology, 4, e72, 10.1371/journal.pbio.0040072 · DOI
  7. RJ Haasl, 2015, Fifteen years of genomewide scans for selection: trends, lessons and unaddressed genetic sources of complication, Molecular ecology
  8. LB Scheinfeldt, 2013, Recent human adaptation: genomic approaches, interpretation and insights, Nat Rev Genet, 14, 692, 10.1038/nrg3604 · DOI
  9. W Fu, 2013, Selection and adaptation in the human genome, Annual review of genomics and human genetics, 14, 467, 10.1146/annurev-genom-091212-153509 · DOI
  10. RD Hernandez, 2011, Classic Selective Sweeps Were Rare in Recent Human Evolution, Science, 331, 920, 10.1126/science.1198878 · DOI
  11. NL Kaplan, 1989, The Hitchhiking Effect Revisited, Genetics, 123, 887, 10.1093/genetics/123.4.887 · DOI · Paper page
  12. JM Smith, 2007, The hitch-hiking effect of a favourable gene, Genet Res, 89, 391
  13. PC Sabeti, 2006, Positive natural selection in the human lineage, Science, 312, 1614, 10.1126/science.1124309 · DOI · Paper page
  14. S Wright, 1950, Genetical structure of populations, Nature, 166, 247, 10.1038/166247a0 · DOI
  15. MT Hamblin, 2002, Complex signatures of natural selection at the Duffy blood group locus, Am J Hum Genet, 70, 369, 10.1086/338628 · DOI
  16. CM Beall, 2010, Natural selection on EPAS1 (HIF2 alpha) associated with low hemoglobin concentration in Tibetan highlanders, P Natl Acad Sci USA, 107, 11459, 10.1073/pnas.1002443107 · DOI · Paper page
  17. HB Fraser, 2013, Gene expression drives local adaptation in humans, Genome research, 23, 1089, 10.1101/gr.152710.112 · DOI · Paper page
  18. JM Akey, 2009, Constructing genomic maps of positive selection in humans: where do we go from here?, Genome research, 19, 711, 10.1101/gr.086652.108 · DOI
  19. KM Teshima, 2006, How reliable are empirical genomic scans for selective sweeps?, Genome research, 16, 702, 10.1101/gr.5105206 · DOI
  20. PR Grant, 1995, Predicting Microevolutionary Responses to Directional Selection on Heritable Variation, Evolution, 49, 241, 10.1111/j.1558-5646.1995.tb02236.x · DOI
  21. J Hermisson, 2005, Soft sweeps: Molecular population genetics of adaptation from standing genetic variation, Genetics, 169, 2335, 10.1534/genetics.104.036947 · DOI
  22. PW Messer, 2013, Population genomics of rapid adaptation by soft selective sweeps, Trends Ecol Evol, 28, 659, 10.1016/j.tree.2013.08.003 · DOI
  23. LM Chevin, 2008, Selective Sweep at a Quantitative Trait Locus in the Presence of Background Genetic Variation, Genetics, 180, 1645, 10.1534/genetics.108.093351 · DOI
  24. KY Ding, 2011, Geographic differences in allele frequencies of susceptibility SNPs for cardiovascular disease, Bmc Med Genet, 12
  25. T Raj, 2013, Common Risk Alleles for Inflammatory Diseases Are Targets of Recent Positive Selection, Am J Hum Genet, 92, 517, 10.1016/j.ajhg.2013.03.001 · DOI
  26. AM Casto, 2011, Genome-Wide Association Study SNPs in the Human Genome Diversity Project Populations: Does Selection Affect Unlinked SNPs with Shared Trait Associations?, Plos Genet, 7, 10.1371/journal.pgen.1001266 · DOI
  27. MC Turchin, 2012, Evidence of widespread selection on standing variation in Europe at height-associated SNPs, Nat Genet, 44, 1015, 10.1038/ng.2368 · DOI · Paper page
  28. AS Go, 2014, Heart disease and stroke statistics—2014 update: a report from the American Heart Association, Circulation, 129, e28, 10.1161/01.cir.0000441139.02102.80 · DOI
  29. P Deloukas, 2013, Large-scale association analysis identifies new risk loci for coronary artery disease, Nat Genet, 45, 25, 10.1038/ng.2480 · DOI · Paper page
  30. SG Byars, 2010, Colloquium papers: Natural selection in a contemporary human population, Proc Natl Acad Sci U S A, 107, 1787, 10.1073/pnas.0906199106 · DOI
  31. GC Williams, 1957, Pleiotropy, Natural Selection, and the Evolution of Senescence, Evolution, 11, 398, 10.1111/j.1558-5646.1957.tb02911.x · DOI · Paper page
  32. DA Jalowiec, 1989, Myocardial infarction in the young and in women, Cardiovascular clinics, 20, 197
  33. JB Rubin, 2012, Coronary Heart Disease in Young Adults, Curr Atheroscler Rep, 14, 140, 10.1007/s11883-012-0226-3 · DOI
  34. EM Tuzcu, 2001, High prevalence of coronary atherosclerosis in asymptomatic teenagers and young adults: evidence from intravascular ultrasound, Circulation, 103, 2705, 10.1161/01.CIR.103.22.2705 · DOI
  35. P Morillas, 2007, Characteristics and outcome of acute myocardial infarction in young patients—The PRIAMHO II study, Cardiology, 107, 217, 10.1159/000095421 · DOI
  36. AH Allam, 2011, Atherosclerosis in ancient Egyptian mummies: the Horus study, JACC Cardiovascular imaging, 4, 315, 10.1016/j.jcmg.2011.02.002 · DOI
  37. A Wollstein, 2015, Inferring positive selection in humans from genomic data, Investigative genetics, 6, 5, 10.1186/s13323-015-0023-1 · DOI
  38. MV Kuleshov, 2016, Enrichr: a comprehensive gene set enrichment analysis web server 2016 update, Nucleic Acids Res, 44, W90, 10.1093/nar/gkw377 · DOI · Paper page
  39. G Kosova, 2012, Genome-wide Association Study Identifies Candidate Genes for Male Fertility Traits in Humans, Am J Hum Genet, 90, 950, 10.1016/j.ajhg.2012.04.016 · DOI
  40. B Aschebrook-Kilfoy, 2015, Genome-Wide Association Study of Parity in Bangladeshi Women, PloS one, 10, 10.1371/journal.pone.0118488 · DOI
  41. EP Hong, 2012, Sample size and statistical power calculation in genetic association studies, Genomics & informatics, 10, 117, 10.5808/GI.2012.10.2.117 · DOI
  42. K Pokharel, 2015, Transcriptome profiling of Finnsheep ovaries during out-of-season breeding period, Agricultural and Food Science, 24, 1, 10.23986/afsci.46512 · DOI
  43. H Mbarek, 2016, Identification of Common Genetic Variants Influencing Spontaneous Dizygotic Twinning and Female Fertility, Am J Hum Genet, 98, 898, 10.1016/j.ajhg.2016.03.008 · DOI
  44. C Huang, 2015, Efficient SNP Discovery by Combining Microarray and Lab-on-a-Chip Data for Animal Breeding and Selection, Microarrays, 4, 570, 10.3390/microarrays4040570 · DOI
  45. BE Mote, 2009, Identification of genetic markers for productive life in commercial sows, J Anim Sci, 87, 2187, 10.2527/jas.2008-1017 · DOI
  46. RS Balgir, 1993, Menarcheal age in relation to ABO blood group phenotypes and haemoglobin-E genotypes, J Assoc Physicians India, 41, 210
  47. JA Pyun, 2014, Genome-wide association studies and epistasis analyses of candidate genes related to age at menarche and age at natural menopause in a Korean population, Menopause, 21, 522, 10.1097/GME.0b013e3182a433f7 · DOI
  48. KL Spencer, 2013, Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study, PloS one, 8, 10.1371/journal.pone.0055258 · DOI
  49. LA Rempel, 2010, Association analyses of candidate single nucleotide polymorphisms on reproductive traits in swine, J Anim Sci, 88, 1, 10.2527/jas.2009-1985 · DOI
  50. OV Patel, 2011, Homeorhetic adaptation to lactation: comparative transcriptome analysis of mammary, liver, and adipose tissue during the transition from pregnancy to lactation in rats, Funct Integr Genomic, 11, 193, 10.1007/s10142-010-0193-0 · DOI
  51. M Wang, 2012, MicroRNA expression patterns in the bovine mammary gland are affected by stage of lactation, J Dairy Sci, 95, 6529, 10.3168/jds.2012-5748 · DOI
  52. L Colodro-Conde, 2015, A twin study of breastfeeding with a preliminary genome-wide association scan, Twin Res Hum Genet, 18, 61, 10.1017/thg.2014.74 · DOI
  53. MP McLean, 1995, Reduced hepatic LDL-receptor, 3-hydroxy-3-methylglutaryl coenzyme A reductase and sterol carrier protein-2 expression is associated with pregnancy loss in the diabetic rat, Endocrine, 3, 695, 10.1007/BF03000200 · DOI
  54. DS Kuo, 2012, COL4A1 and COL4A2 mutations and disease: insights into pathogenic mechanisms and potential therapeutic targets, Hum Mol Genet, 21, R97, 10.1093/hmg/dds346 · DOI · Paper page
  55. S Lin, 2015, Pre-eclampsia has an adverse impact on maternal and fetal health, Transl Res, 165, 449, 10.1016/j.trsl.2014.10.006 · DOI
  56. S Tabano, 2006, Placental LPL gene expression is increased in severe intrauterine growth-restricted pregnancies, Pediatr Res, 59, 250, 10.1203/01.pdr.0000199441.62045.a1 · DOI
  57. KK Bhasin, 2009, Maternal low-protein diet or hypercholesterolemia reduces circulating essential amino acids and leads to intrauterine growth restriction, Diabetes, 58, 559, 10.2337/db07-1530 · DOI
  58. G Kakourou, 2013, Investigation of gene expression profiles before and after embryonic genome activation and assessment of functional pathways at the human metaphase II oocyte and blastocyst stage, Fertil Steril, 99, 803, 10.1016/j.fertnstert.2012.10.036 · DOI
  59. K Siva, 2007, Human BCAS3 Expression in Embryonic Stem Cells and Vascular Precursors Suggests a Role in Human Embryogenesis and Tumor Angiogenesis, PloS one, 2, 10.1371/journal.pone.0001202 · DOI
  60. J Liu, 2006, Expression of SWAP-70 in the uterus and feto-maternal interface during embryonic implantation and pregnancy in the rhesus monkey (Macaca mulatta), Histochem Cell Biol, 126, 695, 10.1007/s00418-006-0206-1 · DOI
  61. L Zhou, 2008, Local injury to the endometrium in controlled ovarian hyperstimulation cycles improves implantation rates, Fertil Steril, 89, 1166, 10.1016/j.fertnstert.2007.05.064 · DOI
  62. C Solca, 2013, Dietary xenosterols lead to infertility and loss of abdominal adipose tissue in sterolin-deficient mice, J Lipid Res, 54, 397, 10.1194/jlr.M031476 · DOI
  63. E Moretti, 2015, Ultrastructural study of spermatogenesis in KSR2 deficient mice, Transgenic Res, 24, 741, 10.1007/s11248-015-9886-4 · DOI
  64. A Dokras, 2013, Cardiovascular disease risk in women with PCOS, Steroids, 78, 773, 10.1016/j.steroids.2013.04.009 · DOI · Paper page
  65. R Azziz, 2011, Polycystic ovary syndrome: an ancient disorder?, Fertil Steril, 95, 1544, 10.1016/j.fertnstert.2010.09.032 · DOI · Paper page
  66. S Kenigsberg, 2009, Gene expression microarray profiles of cumulus cells in lean and overweight-obese polycystic ovary syndrome patients, Molecular human reproduction, 15, 89, 10.1093/molehr/gan082 · DOI
  67. L Manneras-Holm, 2014, Gene expression in subcutaneous adipose tissue differs in women with polycystic ovary syndrome and controls matched pair-wise for age, body weight, and body mass index, Adipocyte, 3, 190, 10.4161/adip.28731 · DOI
  68. D Salilew-Wondim, 2015, Polycystic ovarian syndrome is accompanied by repression of gene signatures associated with biosynthesis and metabolism of steroids, cholesterol and lipids, J Ovarian Res, 8, 10.1186/s13048-015-0151-5 · DOI
  69. L Scotti, 2014, Platelet-derived growth factor BB and DD and angiopoietin1 are altered in follicular fluid from polycystic ovary syndrome patients, Mol Reprod Dev, 81, 748, 10.1002/mrd.22343 · DOI
  70. L Yan, 2012, Expression of apoptosis-related genes in the endometrium of polycystic ovary syndrome patients during the window of implantation, Gene, 506, 350, 10.1016/j.gene.2012.06.037 · DOI
  71. M Kilic, 2012, Identification of Mutations and Evaluation of Cardiomyopathy in Turkish Patients with Primary Carnitine Deficiency, Jimd Rep, 3, 17, 10.1007/8904_2011_36 · DOI
  72. S Maqdasy, 2013, Cholesterol and male fertility: What about orphans and adopted?, Mol Cell Endocrinol, 368, 30, 10.1016/j.mce.2012.06.011 · DOI
  73. EF Schisterman, 2014, Lipid concentrations and semen quality: the LIFE study, Andrology, 2, 408, 10.1111/j.2047-2927.2014.00198.x · DOI
  74. S Kudaravalli, 2009, Gene Expression Levels Are a Target of Recent Natural Selection in the Human Genome, Mol Biol Evol, 26, 649, 10.1093/molbev/msn289 · DOI
  75. E Barrett-Connor, 1991, Estrogen and coronary heart disease in women, Jama, 265, 1861, 10.1001/jama.1991.03460140089033 · DOI · Paper page
  76. V Beral, 1985, Long term effects of childbearing on health, Journal of epidemiology and community health, 39, 343, 10.1136/jech.39.4.343 · DOI
  77. JP Jarvis, 2012, Patterns of Ancestry, Signatures of Natural Selection, and Genetic Association with Stature in Western African Pygmies, Plos Genet, 8, 299, 10.1371/journal.pgen.1002641 · DOI · Paper page
  78. T Haritunians, 2010, Genetic Predictors of Medically Refractory Ulcerative Colitis, Inflamm Bowel Dis, 16, 1830, 10.1002/ibd.21293 · DOI
  79. B Lang, 2012, HDAC9 is implicated in schizophrenia and expressed specifically in post-mitotic neurons but not in adult neural stem cells, American journal of stem cells, 1, 31
  80. AJ Carter, 2011, Antagonistic pleiotropy as a widespread mechanism for the maintenance of polymorphic disease alleles, Bmc Med Genet, 12, 160, 10.1186/1471-2350-12-160 · DOI
  81. X Wang, 2013, Genetic links between post-reproductive lifespan and family size in Framingham, Evol Med Public Health, 2013, 241, 10.1093/emph/eot013 · DOI
  82. JA Rodríguez, 2017, Antagonistic pleiotropy and mutation accumulation influence human senescence and disease, Nature Ecology & Evolution, 1, 1, 10.1038/s41559-016-0055 · DOI · Paper page
  83. G Abraham, 2016, Genomic prediction of coronary heart disease, European Heart Journal, 37, 3267, 10.1093/eurheartj/ehw450 · DOI · Paper page
  84. JM Granka, 2012, Limited evidence for classic selective sweeps in African populations, Genetics, 192, 1049, 10.1534/genetics.112.144071 · DOI
  85. C International HapMap, 2007, A second generation human haplotype map of over 3.1 million SNPs, Nature, 449, 851, 10.1038/nature06258 · DOI · Paper page
  86. I Surakka, 2010, Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging, Genome research, 20, 1344, 10.1101/gr.106534.110 · DOI
  87. G Abraham, 2014, Fast principal component analysis of large-scale genome-wide data, PloS one, 9, e93766, 10.1371/journal.pone.0093766 · DOI
  88. B Paten, 2008, Genome-wide nucleotide-level mammalian ancestor reconstruction, Genome research, 18, 1829, 10.1101/gr.076521.108 · DOI
  89. P Flicek, 2012, Ensembl 2012, Nucleic Acids Res, 40, D84, 10.1093/nar/gkr991 · DOI
  90. C Lippert, 2011, FaST linear mixed models for genome-wide association studies, Nature methods, 8, 833, 10.1038/nmeth.1681 · DOI · Paper page
  91. A Bakshi, 2016, Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits, Sci Rep-Uk, 6

Cited by

Sorted by citations

Metadata

Authors
Byars, S. G., Huang, Q. Q., Gray, L.-A., Bakshi, A., Ripatti, S., Abraham, G., Stearns, S. C., & Inouye, M.
ORCID
Venue
PLOS Genetics
Publisher
Public Library of Science (PLoS)
Published
2017-06-22
Volume
13
Issue
6
Pages
e1006328
ISSN
1553-7404
DOI
10.1371/journal.pgen.1006328
PMC
PMC5480811
Cited by
78
References
18
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • National Health and Medical Research Council (1062227, 1090462)
  • National Heart Foundation of Australia (1061435)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review