Skip to main content
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian
  • Log in
  • My Cart

Main menu

  • Home
  • Articles
    • Current
    • Latest Articles
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • Archive
  • Front Matter
  • News
    • For the Press
    • Highlights from Latest Articles
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Purpose and Scope
    • Editorial and Journal Policies
    • Submission Procedures
    • For Reviewers
    • Author FAQ
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Home
Home

Advanced Search

  • Home
  • Articles
    • Current
    • Latest Articles
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • Archive
  • Front Matter
  • News
    • For the Press
    • Highlights from Latest Articles
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Purpose and Scope
    • Editorial and Journal Policies
    • Submission Procedures
    • For Reviewers
    • Author FAQ

New Research In

Physical Sciences

Featured Portals

  • Physics
  • Chemistry
  • Sustainability Science

Articles by Topic

  • Applied Mathematics
  • Applied Physical Sciences
  • Astronomy
  • Computer Sciences
  • Earth, Atmospheric, and Planetary Sciences
  • Engineering
  • Environmental Sciences
  • Mathematics
  • Statistics

Social Sciences

Featured Portals

  • Anthropology
  • Sustainability Science

Articles by Topic

  • Economic Sciences
  • Environmental Sciences
  • Political Sciences
  • Psychological and Cognitive Sciences
  • Social Sciences

Biological Sciences

Featured Portals

  • Sustainability Science

Articles by Topic

  • Agricultural Sciences
  • Anthropology
  • Applied Biological Sciences
  • Biochemistry
  • Biophysics and Computational Biology
  • Cell Biology
  • Developmental Biology
  • Ecology
  • Environmental Sciences
  • Evolution
  • Genetics
  • Immunology and Inflammation
  • Medical Sciences
  • Microbiology
  • Neuroscience
  • Pharmacology
  • Physiology
  • Plant Biology
  • Population Biology
  • Psychological and Cognitive Sciences
  • Sustainability Science
  • Systems Biology

Higher offspring survival among Tibetan women with high oxygen saturation genotypes residing at 4,000 m

Cynthia M. Beall, Kijoung Song, Robert C. Elston, and Melvyn C. Goldstein
PNAS September 28, 2004 101 (39) 14300-14304; https://doi.org/10.1073/pnas.0405949101
Cynthia M. Beall
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kijoung Song
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert C. Elston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Melvyn C. Goldstein
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  1. Contributed by Cynthia M. Beall, August 13, 2004

  • Article
  • Figures & SI
  • Info & Metrics
  • PDF
Loading

Article Figures & SI

Tables

    • View popup
    Table 1. Description of pedigree data from 14 villages in the Tibet Autonomous Region
    No. of generations No. of pedigrees Pairs Count Individuals Count
    2 97 Parent/Off 1,949 Male 1,382
    3 92 Sib/Sib 2,330 Female 1,579
    4 111 Sis/Sis 627 Unknown 0
    5 24 Bro/Bro 553 Total 2,961
    6 4 Bro/Sis 1,150
    Grandp. 580 Founder 128
    Avunc. 2,528 Nonfounder 2,833
    Half sib 93 Singletons 0
    Cousin 2,943 Total 2,961
    • Off, offspring; Sib, sibling; Bro, brother; Sis, sister; Grandp., grandparent; Avunc., avuncular.

    • View popup
    Table 2. Regression coefficients of the final model used to adjust oxygen saturation levels (n = 2,961)
    Variable df Parameter estimate Standard error t value Pr >|t|
    Intercept 1 101.049 1.941
    Group* 1 -0.145 0.206 -0.70 0.4824
    Sex† 1 -0.390 0.162 -2.40 0.0163
    Age 1 0.005 0.005 1.05 0.2952
    Smoker‡ 1 0.799 0.308 2.59 0.0095
    Altitude 1 -0.005 0.0005 -9.32 <.0001
    Cough§ 1 -0.345 0.288 -1.20 0.2308
    Phlegm¶ 1 -2.637 4.059 -0.65 0.5158
    Sex × cough 1 -0.743 0.393 -1.89 0.0591
    Smoker × cough 1 1.755 0.733 2.39 0.0167
    Age × phlegm 1 -0.041 0.009 -4.47 <.0001
    Altitude × phlegm 1 0.001 0.001 0.90 0.3659
    • ↵ * 0 = No self-reported respiratory symptoms; 1 = reported symptoms.

    • ↵ † 0 = Female; 1 = male.

    • ↵ ‡ 0 = Nonsmoker; 1 = smoker.

    • ↵ § 0 = No; 1 = yes.

    • ↵ ¶ 0 = No; 1 = yes.

    • View popup
    Table 3. Parameter estimates from segregation analysis of oxygen saturation levels
    General model
    Environmental
    Mixed Mendelian
    Parameters Parameter estimate SE Parameter estimate SE Parameter estimate SE
    q A 0.2226 0.0261 0.1989 0.0246 0.2178 0.0240
    τAA 0.8120 0.2004 0.8011 0.0246 (1) 0.0
    τAB 0.4127 0.0426 0.8011 0.0246 (0.5) 0.0
    τBB 0.9834 0.0189 0.8011 0.0246 (0) 0.0
    μAA 79.7886 1.1102 79.4634 1.2173 79.4675 1.0869
    μBB = μAB 89.3714 0.0902 89.3269 0.0875 89.3568 0.0857
    σ2 9.5674 0.3798 9.8941 0.4122 9.6587 0.3722
    ρFM 0.1298 0.0750 0.1248 0.0715 0.1272 0.0721
    ρPO 0.1240 0.0260 0.1195 0.0250 0.1172 0.0248
    ρSS 0.1947 0.0355 0.2192 0.0358 0.1937 0.0346
    λ1 5.4692 0.4799 5.5930 0.5159 5.5223 0.4897
    -2InL 15,260.8 15,277.1 15,268.2
    Par* 11 8 8
    χ2 16.3 7.4
    P value <0.0001 0.0602
    • Numbers in parentheses are fixed.

    • ↵ * Number of functionally independent parameters estimated.

    • View popup
    Table 4. Major locus mode of inheritance of oxygen saturation levels
    Mendelian model
    Parameters Codominant parameter estimate SE B dominant parameter estimate SE
    q A 0.2183 0.0244 0.2178 0.0240
    τAA (1) 0.0 (1) 0.0
    τAB (0.5) 0.0 (0.5) 0.0
    τBB (0) 0.0 (0) 0.0
    μAA 79.6633 1.0918 79.4675 1.0869
    μAB 89.7486 0.3974 89.3568 0.0857
    μBB 89.1395 0.2371 89.3568 0.0857
    σ2 9.6077 0.3968 9.6587 0.3722
    ρFM 0.1305 0.0753 0.1272 0.0721
    ρPO 0.1237 0.0256 0.1172 0.0248
    ρSS 0.1976 0.0351 0.1937 0.0346
    λ1 5.6037 0.5078 5.5223 0.4897
    -2InL 15,267.3 15,268.2
    Par* 9 8
    χ2 0.9
    P value 0.3428
    • Numbers in parentheses are fixed.

    • ↵ * Number of functionally independent parameters estimated.

    • View popup
    Table 5. Comparison of maximum likelihood estimates of the major gene parameters for oxygen saturation obtained in the present study with those previously published
    Three counties, TAR* Pen-Dri, TAR† Phala, TAR‡
    Altitude range, m 3,800-4,200 3,800-4,065 4,850-5,450
    q A 0.2178 ± 0.024 0.258 ± 0.1193 0.446 ± 0.095
    μAA 79.5 ± 1.1 82.6 ± 1.8 78.1 ± 1.0
    μAB - 87.6 ± 1.3 -
    μBB (=μAB) 89.4 ± 0.1 88.3 ± 0.7 84.0 ± 0.5
    Proportion of phenotypic variance due to major locus, % 46 21 39
    • A, low saturation allele; TAR, Tibet Autonomous Region.

    • ↵ * Present study.

    • ↵ † Ref. 2.

    • ↵ ‡ Ref. 1.

    • View popup
    Table 6. Estimates of fertility measures for three oxygen saturation genotypes
    Variable Mean ± SD [minimum, maximum, n] Genotypic mean AA Genotypic mean AB Genotypic mean BB Multiple regression R2 Multiple regression P to test Ho: AA = AB/BB Permutation P to test Ho: AA = AB/BB
    Number of pregnancies 4.62 ± 2.79 [1,15 n = 689] 4.59 4.90 4.77 0.96* , † , ‡ , § 0.828 0.826
    Number of live births 4.49 ± 2.72 [0,15, n = 685] 4.45 4.76 4.62 0.96* , † , ‡ , § 0.820 0.823
    Number of children now alive 4.09 ± 2.33 [0, 13, n = 664] 1.64 3.58 3.79 0.95* , † , ¶ , ∥ , ** 0.046 0.039
    Number of children who died 0.54 ± 0.10 [0,8, n = 664] 2.53 0.77 0.48 0.38† , ‡ , § , ** 0.007 0.009
    Number of infant deaths 0.36 ± 0.74 [0.7 n = 681] 1.69 0.62 0.32 0.28† , ¶ 0.011 0.014
    Proportion of livebirths now alive 0.90 ± 0.17 [0,1, n = 664] 0.40 0.88 0.91 0.97** , †† 0.004 0.006
    Proportion of livebirths that died during infancy 0.07 ± 0.15 [0,1, n = 654] 0.40 0.10 0.06 0.20** 0.015 0.023
    Proportion of livebirths that died between 1 and 15 years of age 0.02 ± 0.07 [0,0.5, n = 653] 0.01 0.01 0.02 0.08†† 0.763 0.755
    Proportion of livebirths that died before 15 years of age 0.09 ± 0.16 [0,1, n = 653] 0.43 0.11 0.08 0.26** , †† 0.036 0.042
    • ↵ * Age at first pregnancy.

    • ↵ † Age at first birth.

    • ↵ ‡ Age at last pregnancy.

    • ↵ § Altitude.

    • ↵ ¶ Age at last birth.

    • ↵ ∥ Marital type.

    • ↵ ** Currently using family planning.

    • ↵ †† Maternal age.

PreviousNext
Back to top
Article Alerts
Email Article

Thank you for your interest in spreading the word on PNAS.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Higher offspring survival among Tibetan women with high oxygen saturation genotypes residing at 4,000 m
(Your Name) has sent you a message from PNAS
(Your Name) thought you would like to see the PNAS web site.
Citation Tools
Higher offspring survival among Tibetan women with high oxygen saturation genotypes residing at 4,000 m
Cynthia M. Beall, Kijoung Song, Robert C. Elston, Melvyn C. Goldstein
Proceedings of the National Academy of Sciences Sep 2004, 101 (39) 14300-14304; DOI: 10.1073/pnas.0405949101

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Higher offspring survival among Tibetan women with high oxygen saturation genotypes residing at 4,000 m
Cynthia M. Beall, Kijoung Song, Robert C. Elston, Melvyn C. Goldstein
Proceedings of the National Academy of Sciences Sep 2004, 101 (39) 14300-14304; DOI: 10.1073/pnas.0405949101
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Mendeley logo Mendeley
Proceedings of the National Academy of Sciences: 116 (7)
Current Issue

Submit

Sign up for Article Alerts

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
  • Figures & SI
  • Info & Metrics
  • PDF

You May Also be Interested in

Several aspects of the proposal, which aims to expand open access, require serious discussion and, in some cases, a rethink.
Opinion: “Plan S” falls short for society publishers—and for the researchers they serve
Several aspects of the proposal, which aims to expand open access, require serious discussion and, in some cases, a rethink.
Image credit: Dave Cutler (artist).
Several large or long-lived animals seem strangely resistant to developing cancer. Elucidating the reasons why could lead to promising cancer-fighting strategies in humans.
Core Concept: Solving Peto’s Paradox to better understand cancer
Several large or long-lived animals seem strangely resistant to developing cancer. Elucidating the reasons why could lead to promising cancer-fighting strategies in humans.
Image credit: Shutterstock.com/ronnybas frimages.
Featured Profile
PNAS Profile of NAS member and biochemist Hao Wu
 Nonmonogamous strawberry poison frog (Oophaga pumilio).  Image courtesy of Yusan Yang (University of Pittsburgh, Pittsburgh).
Putative signature of monogamy
A study suggests a putative gene-expression hallmark common to monogamous male vertebrates of some species, namely cichlid fishes, dendrobatid frogs, passeroid songbirds, common voles, and deer mice, and identifies 24 candidate genes potentially associated with monogamy.
Image courtesy of Yusan Yang (University of Pittsburgh, Pittsburgh).
Active lifestyles. Image courtesy of Pixabay/MabelAmber.
Meaningful life tied to healthy aging
Physical and social well-being in old age are linked to self-assessments of life worth, and a spectrum of behavioral, economic, health, and social variables may influence whether aging individuals believe they are leading meaningful lives.
Image courtesy of Pixabay/MabelAmber.

More Articles of This Classification

Social Sciences

  • Emergence of analogy from relation learning
  • Defining the economic scope for ecosystem-based fishery management
  • Social threat learning transfers to decision making in humans
Show more

Anthropology

  • Radiocarbon dates and Bayesian modeling support maritime diffusion model for megaliths in Europe
  • Enabling creative collaboration for all levels of learning
  • Facial masculinity does not appear to be a condition-dependent male ornament and does not reflect MHC heterozygosity in humans
Show more

Related Content

  • No related articles found.
  • Scopus
  • PubMed
  • Google Scholar

Cited by...

  • Physiological effects of high-altitude trekking on gonadal, thyroid hormones and macrophage migration inhibitory factor (MIF) responses in young lowlander women
  • Mitochondrial DNA variant associated with Leber hereditary optic neuropathy and high-altitude Tibetans
  • Two routes to functional adaptation: Tibetan and Andean high-altitude natives
  • Scopus (79)
  • Google Scholar

Similar Articles

Site Logo
Powered by HighWire
  • Submit Manuscript
  • Twitter
  • Facebook
  • RSS Feeds
  • Email Alerts

Articles

  • Current Issue
  • Latest Articles
  • Archive

PNAS Portals

  • Classics
  • Front Matter
  • Teaching Resources
  • Anthropology
  • Chemistry
  • Physics
  • Sustainability Science

Information

  • Authors
  • Editorial Board
  • Reviewers
  • Press
  • Site Map

Feedback    Privacy/Legal

Copyright © 2019 National Academy of Sciences. Online ISSN 1091-6490