![]() | ![]() |
Formats:
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2006 by The American Society of Human Genetics. All rights reserved. Human Adaptive Evolution at Myostatin (GDF8), a Regulator of Muscle Growth From the Department of Ecology and Evolutionary Biology, University of Arizona, Tucson (M.A.S.; J.M.G.; M.W.N.); Department of Human Genetics, University of Pittsburgh, Pittsburgh (E.C.L.; R.E.F.); and Department of Ecology and Evolution, University of Chicago, Chicago (M.A.S.; W.-H.L.) Address for correspondence and reprints: Dr. Matthew A. Saunders, Department of Ecology and Evolution, University of Chicago, 1101 E. 57th Street, Chicago, IL 60637. E-mail: saunders/at/uchicago.edu Received July 6, 2006; Accepted September 15, 2006. This article has been cited by other articles in PMC.Abstract Myostatin (GDF8) is a negative regulator of muscle growth in mammals, and loss-of-function mutations are associated with increased skeletal-muscle mass in mice, cattle, and humans. Here, we show that positive natural selection has acted on human nucleotide variation at GDF8, since the observed ratio of nonsynonymous:synonymous changes among humans is significantly greater than expected under the neutral model and is strikingly different from patterns observed across mammalian orders. Furthermore, extended haplotypes around GDF8 suggest that two amino acid variants have been subject to recent positive selection. Both mutations are rare among non-Africans yet are at frequencies of up to 31% in sub-Saharan Africans. These signatures of selection at the molecular level suggest that human variation at GDF8 is associated with functional differences. The genetic basis of muscle development and growth has been extensively studied in an effort to treat myopathies1 and to understand individual variation in athletic performance.2 Because musculature features might have provided a fitness advantage during human evolution, candidate genes related to musculature may have been targets of natural selection in humans. The myostatin gene, also called “growth and differentiation factor 8” (GDF8 [MIM 601788]) encodes a negative regulator of skeletal-muscle growth.3 First described in the mouse, myostatin is expressed in different muscles throughout the body, both during early development and in adults. Mouse null mutants are significantly larger than wild-type animals, with 200%–300% more skeletal-muscle mass because of an increase in the number of myocytes (hyperplasy) and an increase in the size of muscle fibers (hypertrophy).3 A similar phenotype is seen in some breeds of double-muscled cattle that also have myostatin mutations.4,5 A loss-of-function mutation in the myostatin gene (a missplicing change in IVS1:G378A) has been associated with muscle hypertrophy in a human subject,6 and myostatin expression levels have been shown to be inversely correlated with muscle mass in healthy and HIV-infected subjects.7 These data suggest that myostatin acts in a similar fashion among all mammals. Here, we tested the hypothesis that patterns of human nucleotide variation at GDF8 have been shaped by positive natural selection. We resequenced the complete coding sequence of GDF8, including partial flanking intron sequences and the 5′ upstream cis-promoter region in human panels of 76 African Americans and 70 Europeans. DNA samples were collected from residents of Pittsburgh, after receipt of written informed consent. PCR amplification primers were designed to target the entire coding sequence for each GDF8 exon (I–III) and the putative cis-promoter region for GDF8, located ~500 bp upstream of the ATG start codon.8 DNA sequencing was performed on an ABI 3700 automated DNA sequencer with use of amplification oligonucleotides as primers. (Primers and PCR conditions are available on request). Sequences were inspected by eye and were aligned for each individual, with use of the program SEQUENCHER (Gene Codes). The sequence for each individual was submitted to GenBank under accession numbers DQ927046–DQ927191. In the resequenced panels, we detected eight SNPs in the coding sequence, one indel polymorphism in intron 1, and two SNPs in the 5′ upstream cis-promoter region (fig. 1A
Under the neutral model of molecular evolution, the ratio of replacement:silent changes is expected to be the same within and between species (McDonald-Kreitman test).11 To test this null hypothesis for GDF8, we compared the polymorphism within humans with divergence between humans and other mammals (table B1). Between species, we observed many more silent than replacement mutations, as is typical for most genes. However, within humans, we observed more replacement than silent mutations, and this difference is statistically significant (table 2). This pattern is unusual for human genes and, together with observations described below, suggests that the high proportion of amino acid variation in humans is due to positive natural selection.
To further explore whether the patterns seen at GDF8 in humans are unexpected, we compared GDF8 sequences, obtained from public databases, among mammals and other vertebrates. We estimated the average ratio of replacement:silent substitutions per site (dN:dS) across 15 mammalian lineages, using maximum likelihood12 (table B1). In the absence of functional constraint, the nonsynonymous substitution rate (dN) is expected to be equal to the synonymous substitution rate (dS), whereas dN:dS<1 is indicative of purifying selection. The average dN:dS ratio across the mammalian phylogeny is 0.10, which suggests that GDF8 has been under strong constraint throughout much of mammalian evolution. Furthermore, most pairwise interspecific comparisons with humans show even higher levels of constraint. For example, between mouse and human dN:dS=0.05 for GDF8, well below the median genomewide value of 0.12.13 Thus, the pattern of five replacement and three silent changes within humans stands out as being exceptional. Next, we looked at the amino acid sites of each of the five human replacement polymorphisms across all vertebrate species with available GDF8 sequences (a total of 20 species, including fish, birds, and mammals [table B1]). The five sites that are polymorphic in humans are remarkably conserved over evolutionary timescales. The ancestral amino acid states associated with the alleles Ala55Thr (G163A), Arg65His (G194A), and Asp103Asn (G307A) are conserved among all vertebrates; Lys153Arg (A2246G) is conserved among all taxa except fish (Danio rerio), and Met129Arg (T2174G) is conserved among all mammals except bovines. This high level of conservation for individual residues suggests that the mutations in humans have functional consequences. To learn more about patterns of evolution at GDF8 in humans, we inferred haplotype phase for the diploid sequences.9 The two intermediate frequency polymorphisms—Ala55Thr and Lys153Arg (nucleotide mutations 163 and 2246, respectively)—reside on separate haplotypes (fig. 1A Alleles that have experienced recent positive selection may bear a signature of unusually long-range linkage disequilibrium with surrounding SNPs.15,16 To test for this pattern at GDF8, we examined the SNP data from the International HapMap Project,17 in the genomic region of GDF8. Both sites G163A and A2246G have been genotyped in the International HapMap Project (SNPs rs1805085 and rs1805086, respectively), and the minor-allele frequency for both SNPs in the Yoruban (YRI) panel from Ibadan, Nigeria, is 22%. We retrieved phased haplotypes spanning 300 kb roughly centered on GDF8 from the International HapMap Project (human genome build 16) for 60 individuals from the YRI panel. We similarly retrieved phased SNP data from the YRI panel at 10 additional anonymous genomic regions, each spanning ~300 kb from across chromosome 2. Nonoverlapping core haplotypes (restricted to a maximum size of 8 contiguous SNPs) were defined in each genomic region, and extended haplotype homozygosity (EHH) was calculated at increasing genetic distances (measured in centimorgans).15 We used the cores of the anonymous regions to generate an empirical distribution for the relationship between EHH and haplotype frequency. Statistical significance for departure of an EHH value within a frequency bin was determined for given GDF8 haplotypes relative to the empirical distribution data. All long-range haplotype analyses were conducted using SWEEP software, according to standard documentation.15 Using these data, we determined that the long-range haplotypes associated with haplogroups 153 and 55 exhibit a significant level of EHH relative to other core haplotypes up to ~0.2 cM away from GDF8 (fig. 2A
Interestingly, two replacement polymorphisms—G163A and A2246G (representing haplogroups 55 and 153, respectively)—are at relatively high frequency among African Americans (12% and 20%, respectively) and the YRI panel (22% each) but are at much lower frequencies among the Europeans sampled here (1% and 4%, respectively) (table 1) and in the HapMap panels from Europe (0% and 2%, respectively) and Asia (0% each). Furthermore, it is notable that >50% (39 of 76) of the African Americans and 75% (45 of 60) of the YRI individuals bear at least one of these replacement alleles (figs. (figs.1A1A
The signature of positive selection at the molecular level in humans is often weak, in part because of the relatively small long-term effective population size and low levels of standing variation. As a result, recent studies have focused on methods to detect selection on the basis of subtle aspects of the data, such as the decay of long-range linkage disequilibrium around a target of selection.14,15,19 In contrast, the results presented here for GDF8 also reveal a strong signature of positive selection that is based on an excess of nonsynonymous polymorphism, as previously seen only for a few other genes in humans (e.g., G6PD and the major histocompatibility complex).20,21 An earlier survey of human variation at GDF8 revealed three additional low-frequency replacement polymorphisms (but no additional silent polymorphisms) that were not detected in our current resequenced panels,10 which increases to eight the total number of replacement changes at GDF8 that have been reported to date (table 1) and contributes further to the observed excess of replacement polymorphisms among humans. Although positive selection may increase the level of polymorphism at a locus, the excess of replacement changes seen at GDF8 could, in principle, alternatively be explained either by a recent relaxation of selective constraint or by the presence of slightly deleterious variants among humans.22,23 However, both of these explanations seem unlikely for GDF8. Relaxed selection at GDF8 is improbable, in view of the overall strong conservation of this gene over deep evolutionary timescales and the major phenotypic effect associated with loss of function in humans.6 The two major replacement variants at GDF8 are unlikely to be slightly deleterious, because these are at relatively high frequency (up to 31%) in sub-Saharan Africans. Moreover, the atypical long-range haplotype conservation associated with haplogroups 153 and 55 suggests that these variants have rapidly increased in frequency. Although demographic processes associated with population bottlenecks and expansions may create long-range haplotype patterns that mimic a signature of selection,24 this is not likely to be the case at myostatin, since the signature of selection is seen in the ancestral African population. Together, these data argue that some form of recent diversifying selection has played a significant role in shaping patterns of variation at GDF8. The molecular positions of polymorphic residues 55 and 153 within the human GDF8 peptide allow us to speculate about the phenotypic consequences of these variants. Both residues are found within the propeptide region (residues 1–266) of GDF8. As is characteristic of other members of the transforming growth factor beta (TGF-β) superfamily, the GDF8 precursor peptide is cleaved into an (N-terminus) propeptide and a (C-terminus) mature peptide. The active form of myostatin is a homodimer of the mature peptide, which binds to extracellular activin type II receptors (ACTRIIB [MIM 602730]) to induce intracellular activation of SMAD proteins.25 Importantly, the propeptide of GDF8 binds to the mature homodimer to form a latent myostatin complex and thus regulates GDF8 activity by preventing the homodimer from binding to its target receptors.26 Concordantly, overexpression of GDF8 propeptide in transgenic mice causes muscle hypertrophy and hyperplasia similar to that in GDF8-null mutants.26,27 Moreover, intraperitoneal administration of myostatin propeptide to Mdx mice (models for Duchenne muscular dystrophy) has been shown to rescue some of the muscular pathophysiological effects found in this mutant.28 Interestingly, residue 55 is within a major inhibitory domain of the GDF8 propeptide (residues 42–115)29 and therefore may influence the regulatory properties of the propeptide. In general, any mutations that increase the binding affinity between the propeptide and the mature peptide could generate a relative deficiency of myostatin activity. One of the many possible adaptive implications of such an effect could be protection from muscle wasting in times of famine, a potentially recurrent phenomenon for early agricultural societies.30 The evidence of positive selection on GDF8 in humans implies that some of the replacement changes cause phenotypic changes related to muscle development and/or growth. Laboratory studies that measured human adult muscle response after short-term physical training failed to detect associations between increased muscle mass and several common amino acid polymorphisms.10 However, the potential phenotypic effect on preadult muscle development remains unknown. Also, natural selection may act on fitness differences that are subtle and not easily detected in laboratory settings. A separate evolutionary analysis has shown accelerated evolution at GDF8 along three bovid lineages in the propeptide region of GDF8, which demonstrates that GDF8 has been a target of selection along another branch in mammalian evolution.31 Although the phenotypic target of selection remains elusive in humans, transgenic mouse models and functional assays may facilitate the quantification of specific traits associated with the GDF8 replacement changes identified here. Acknowledgments We thank B. A. Payseur, E. T. Wood, H. E. Hoekstra, and M. Slatkin, for helpful discussions. Two anonymous reviewers provided useful comments. This work was supported by a UNCF-Merck Science Initiative postdoctoral fellowship (to M.A.S.). Appendix A
Table A1. ![]() Summary Statistics of Nucleotide Variability for GDF8[Note]
Note.— A total of 2,114 (1,125 coding; 989 noncoding) base pairs were analyzed. NA = not applicable. aThe noncoding sequence includes the surveyed region P (which includes the GDF8 promoter region) and the intron sequence flanking the exons in the surveyed regions. bDivergence estimates are based on the average of all pairwise comparisons between the human samples and respective outgroup samples (GenBank accession numbers DQ927199–DQ927203 and DQ927192–DQ927194). cP<.05. Appendix B Table B1. ![]() Silent and Replacement Changes at GDF8, Relative to the Homo sapiens Consensus Sequence[Note]
Appendix C: Estimation of the Ages of Selected Alleles We employed an approach described elsewhere14 to roughly estimate the ages of mutations 163 and 2246 (representing alleles Ala55Thr and Lys153Arg, respectively). Long-range haplotypes, from the HapMap data, around GDF8 in the YRI panel were used to calculate the EHH statistic (see the text and fig. 2A For the core haplotype bearing mutation 163,
These estimates are crude, since the theoretical models for estimating ages of multiple alleles under selection in a population are not well developed. The current method assumes a starlike genealogy for the selected haplotypes; therefore, these results are likely underestimates of the true ages of the alleles. Web Resources Accession numbers and URLs for data presented herein are as follows: Ensembl, http://www.ensembl.org/ GenBank, http://www.ncbi.nih.gov/Genbank/ (for GDF8 [accession numbers DQ927046–DQ927191], P. troglodytes [accession numbers DQ927199–DQ927203], H. sapiens [accession number NM_005259], P. paniscus [accession number DQ927196], G. gorilla [accession number DQ927204], P. pygmeus [accession numbers DQ927192–DQ927194], P. hamadryas [accession number AF019619], M. mulatta [accession number AY055750], M. musculus [accession number NM_010834], R. norvegicus [accession number NM_019151], C. familiaris [accession number AY367768], V. vulpes [accession number AY647144], A. lagopus [accession number AY606017], S. scrofa [accession number AF019623], B. taurus [accession number NM_001001525], B. bubalis [accession number AH013313], O. aries [accession number AF019622], C. hircus [accession number AY436347], E. caballus [accession number AB033541], M. gallopavo [accession number AF019625], C. coturnix [accession number AF407340], and C. chinensis [accession number AF440864]). International HapMap Project, http://www.hapmap.org/ Online Mendelian Inheritance in Man (OMIM), http://www.ncbi.nlm.nih.gov/Omim/ (for GDF8, G6PD, and ACTRIIB). References 1. Gordon ES, Dressman HAG, Hoffman EP (2005) The genetics of muscle atrophy and growth: the impact and implications of polymorphisms in animals and humans. Int J Biochem Cell Biol 37:2064–2074 [PubMed] doi: 10.1016/j.biocel.2005.05.005. 2. Thomis MAI, Huygens W, Heuninckx S, Chagnon M, Maes HHM, Claessens AL, Vlietinck R, Bouchard C, Beunen GP (2004) Exploration of myostatin polymorphisms and the angiotensin-converting enzyme insertion/deletion genotype in responses of human muscle to strength training. Eur J Appl Physiol 92:267–274 [PubMed] doi: 10.1007/s00421-004-1093-6. 3. McPherron AC, Lawler AM, Lee SJ (1997) Regulation of skeletal muscle mass in mice by a new TGF-β superfamily member. Nature 387:83–90 [PubMed] doi: 10.1038/387083a0. 4. McPherron AC, Lee SJ (1997) Double muscling in cattle due to mutations in the myostatin gene. Proc Natl Acad Sci USA 94:12457–12461 [PubMed] doi: 10.1073/pnas.94.23.12457. 5. Kambadur R, Sharma M, Smith TPL, Bass JJ (1997) Mutations in myostatin (GDF8) in double-muscled Belgian blue and Piedmontese cattle. Genome Res 7:910–916 [PubMed] 6. Schuelke M, Wagner KR, Stolz LE, Hubner C, Riebel T, Komen W, Braun T, Tobin JF, Lee SJ (2004) Myostatin mutation associated with gross muscle hypertrophy in a child. N Engl J Med 350:2682–2688 [PubMed] doi: 10.1056/NEJMoa040933. 7. Gonzalez-Cadavid NF, Taylor WE, Yarasheski K, Sinha-Hikim I, Ma K, Ezzat S, Shen RQ, Lalani R, Asa S, Mamita M, Nair G, Arver S, Bhasin S (1998) Organization of the human myostatin gene and expression in healthy men and HIV-infected men with muscle wasting. Proc Natl Acad Sci USA 95:14938–14943 [PubMed] doi: 10.1073/pnas.95.25.14938. 8. Ma K, Mallidis C, Artaza J, Taylor W, Gonzalez-Cadavid N, Bhasin S (2001) Characterization of 5′-regulatory region of human myostatin gene: regulation by dexamethasone in vitro. Am J Physiol Endocrinol Metab 281:E1128–E1136 [PubMed] 9. Stephens M, Smith NJ, Donnelly P (2001) A new statistical method for haplotype reconstruction from population data. Am J Hum Genet 68:978–989 [PubMed] 10. Ferrell RE, Conte V, Lawrence EC, Roth SM, Hagberg JM, Hurley BF (1999) Frequent sequence variation in the human myostatin (GDF8) gene as a marker for analysis of muscle-related phenotypes. Genomics 62:203–207 [PubMed] doi: 10.1006/geno.1999.5984. 11. McDonald JH, Kreitman M (1991) Adaptive protein evolution at the adh locus in Drosophila. Nature 351:652–654 [PubMed] doi: 10.1038/351652a0. 12. Yang ZH (1997) PAML: a program package for phylogenetic analysis by maximum likelihood. Comput Appl Biosci 13:555–556 [PubMed] 13. Mouse Genome Sequencing Consortium (2002) Initial sequencing and comparative analysis of the mouse genome. Nature 420:520–562 [PubMed] doi: 10.1038/nature01262. 14. Voight BF, Kudaravalli S, Wen XQ, Pritchard JK (2006) A map of recent positive selection in the human genome. PloS Biol 4:446–458 [PubMed] 15. Sabeti PC, Reich DE, Higgins JM, Levine HZP, Richter DJ, Schaffner SF, Gabriel SB, Platko JV, Patterson NJ, McDonald GJ, Ackerman HC, Campbell SJ, Altshuler D, Cooper R, Kwiatkowski D, Ward R, Lander ES (2002) Detecting recent positive selection in the human genome from haplotype structure. Nature 419:832–837 [PubMed] doi: 10.1038/nature01140. 16. Saunders MA, Slatkin M, Garner C, Hammer MF, Nachman MW (2005) The extent of linkage disequilibrium caused by selection on G6PD in humans. Genetics 171:1219–1229 [PubMed] doi: 10.1534/genetics.105.048140. 17. International HapMap Consortium (2005) A haplotype map of the human genome. Nature 437:1299–1320 [PubMed] doi: 10.1038/nature04226. 18. Cavalli-Sforza LL (2005) The Human Genome Diversity Project: past, present and future. Nat Rev Genet 6:333–340 [PubMed] doi: 10.1038/nrg1596. 19. Toomajian C, Ajioka RS, Jorde LB, Kushner JP, Kreitman M (2003) A method for detecting recent selection in the human genome from allele age estimates. Genetics 165:287–297 [PubMed] 20. Verrelli BC, McDonald JH, Argyropoulos G, Destrol-Bisol G, Froment A, Drousiotou A, Lefranc G, Helal AN, Loiselet J, Tishkoff SA (2002) Evidence for balancing selection from nucleotide sequence analyses of human G6PD. Am J Hum Genet 71:1112–1128 [PubMed] 21. Hughes AL, Nei M (1989) Nucleotide substitution at major histocompatibility complex class-II loci: evidence for overdominant selection. Proc Natl Acad Sci USA 86:958–962 [PubMed] doi: 10.1073/pnas.86.3.958. 22. Bustamante CD, Fledel-Alon A, Williamson S, Nielsen R, Hubisz MT, Glanowski S, Tanenbaum DM, White TJ, Sninsky JJ, Hernandez RD, Civello D, Adams MD, Cargill M, Clark AG (2005) Natural selection on protein-coding genes in the human genome. Nature 437:1153–1157 [PubMed] doi: 10.1038/nature04240. 23. Chimpanzee Sequencing and Analysis Consortium (2005) Initial sequence of the chimpanzee genome and comparison with the human genome. Nature 437:69–87 [PubMed] doi: 10.1038/nature04072. 24. Currat M, Excoffier L, Maddison W, Otto SP, Ray N, Whitlock MC, Yeaman S (2006) Comment on “Ongoing adaptive evolution of ASPM, a brain size determinant in Homo sapiens” and “Microcephalin, a gene regulating brain size, continues to evolve adaptively in humans.” Science 313:172 [PubMed] 25. Yingling JM, Blanchard KL, Sawyer JS (2004) Development of TGF-β signaling inhibitors for cancer therapy. Nat Rev Drug Discov 3:1011–1022 [PubMed] doi: 10.1038/nrd1580. 26. Lee SJ, McPherron AC (2001) Regulation of myostatin activity and muscle growth. Proc Natl Acad Sci USA 98:9306–9311 [PubMed] doi: 10.1073/pnas.151270098. 27. Yang JZ, Ratovitski T, Brady JP, Solomon MB, Wells KD, Wall RJ (2001) Expression of myostatin pro domain results in muscular transgenic mice. Mol Reprod Dev 60:351–361 [PubMed] doi: 10.1002/mrd.1097. 28. Bogdanovich S, Perkins KJ, Krag TOB, Whittemore SA, Khurana TS (2005) Myostatin propeptide-mediated amelioration of dystrophic pathophysiology. FASEB J 19:543–549 [PubMed] doi: 10.1096/fj.04-2796com. 29. Jiang MS, Liang LF, Wang SS, Ratovitski T, Holmstrom J, Barker C, Stotish R (2004) Characterization and identification of the inhibitory domain of GDF-8 propeptide. Biochem Biophys Res Commun 315:525–531 [PubMed] doi: 10.1016/j.bbrc.2004.01.085. 30. Wells JCK (2006) The evolution of human fatness and susceptibility to obesity: an ethological approach. Biol Rev 81: 183–205 [PubMed] doi: 10.1017/S1464793105006974. 31. Tellgren A, Berglund AC, Savolainen P, Janis CM, Liberles DA (2004) Myostatin rapid sequence evolution in ruminants predates domestication. Mol Phylogenet Evol 33:782–790 [PubMed] doi: 10.1016/j.ympev.2004.07.004. |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Int J Biochem Cell Biol. 2005 Oct; 37(10):2064-74.
[Int J Biochem Cell Biol. 2005]Eur J Appl Physiol. 2004 Jul; 92(3):267-74.
[Eur J Appl Physiol. 2004]Nature. 1997 May 1; 387(6628):83-90.
[Nature. 1997]Proc Natl Acad Sci U S A. 1997 Nov 11; 94(23):12457-61.
[Proc Natl Acad Sci U S A. 1997]Genome Res. 1997 Sep; 7(9):910-6.
[Genome Res. 1997]N Engl J Med. 2004 Jun 24; 350(26):2682-8.
[N Engl J Med. 2004]Proc Natl Acad Sci U S A. 1998 Dec 8; 95(25):14938-43.
[Proc Natl Acad Sci U S A. 1998]Am J Physiol Endocrinol Metab. 2001 Dec; 281(6):E1128-36.
[Am J Physiol Endocrinol Metab. 2001]Nature. 1991 Jun 20; 351(6328):652-4.
[Nature. 1991]Comput Appl Biosci. 1997 Oct; 13(5):555-6.
[Comput Appl Biosci. 1997]Nature. 2002 Dec 5; 420(6915):520-62.
[Nature. 2002]Am J Hum Genet. 2001 Apr; 68(4):978-89.
[Am J Hum Genet. 2001]Nature. 2002 Oct 24; 419(6909):832-7.
[Nature. 2002]Genetics. 2005 Nov; 171(3):1219-29.
[Genetics. 2005]Nature. 2005 Oct 27; 437(7063):1299-320.
[Nature. 2005]PLoS Biol. 2006 Mar; 4(3):e72.
[PLoS Biol. 2006]Nat Rev Genet. 2005 Apr; 6(4):333-40.
[Nat Rev Genet. 2005]PLoS Biol. 2006 Mar; 4(3):e72.
[PLoS Biol. 2006]Nature. 2002 Oct 24; 419(6909):832-7.
[Nature. 2002]Genetics. 2003 Sep; 165(1):287-97.
[Genetics. 2003]Am J Hum Genet. 2002 Nov; 71(5):1112-28.
[Am J Hum Genet. 2002]Proc Natl Acad Sci U S A. 1989 Feb; 86(3):958-62.
[Proc Natl Acad Sci U S A. 1989]Nature. 2005 Oct 20; 437(7062):1153-7.
[Nature. 2005]Nature. 2005 Sep 1; 437(7055):69-87.
[Nature. 2005]N Engl J Med. 2004 Jun 24; 350(26):2682-8.
[N Engl J Med. 2004]Science. 2006 Jul 14; 313(5784):172; author reply 172.
[Science. 2006]Nat Rev Drug Discov. 2004 Dec; 3(12):1011-22.
[Nat Rev Drug Discov. 2004]Proc Natl Acad Sci U S A. 2001 Jul 31; 98(16):9306-11.
[Proc Natl Acad Sci U S A. 2001]Mol Reprod Dev. 2001 Nov; 60(3):351-61.
[Mol Reprod Dev. 2001]FASEB J. 2005 Apr; 19(6):543-9.
[FASEB J. 2005]Biochem Biophys Res Commun. 2004 Mar 12; 315(3):525-31.
[Biochem Biophys Res Commun. 2004]Genomics. 1999 Dec 1; 62(2):203-7.
[Genomics. 1999]Mol Phylogenet Evol. 2004 Dec; 33(3):782-90.
[Mol Phylogenet Evol. 2004]PLoS Biol. 2006 Mar; 4(3):e72.
[PLoS Biol. 2006]Am J Hum Genet. 2001 Apr; 68(4):978-89.
[Am J Hum Genet. 2001]Genomics. 1999 Dec 1; 62(2):203-7.
[Genomics. 1999]Genomics. 1999 Dec 1; 62(2):203-7.
[Genomics. 1999]